public static final class SearchJobsRequest.Builder extends GeneratedMessageV3.Builder<SearchJobsRequest.Builder> implements SearchJobsRequestOrBuilder
The Request body of the `SearchJobs` call.Protobuf type
google.cloud.talent.v4.SearchJobsRequest| Modifier and Type | Method and Description |
|---|---|
SearchJobsRequest.Builder |
addAllHistogramQueries(Iterable<? extends HistogramQuery> values)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
addHistogramQueries(HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
addHistogramQueries(HistogramQuery value)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
addHistogramQueries(int index,
HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
addHistogramQueries(int index,
HistogramQuery value)
An expression specifies a histogram request against matching jobs.
|
HistogramQuery.Builder |
addHistogramQueriesBuilder()
An expression specifies a histogram request against matching jobs.
|
HistogramQuery.Builder |
addHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
addRepeatedField(Descriptors.FieldDescriptor field,
Object value) |
SearchJobsRequest |
build() |
SearchJobsRequest |
buildPartial() |
SearchJobsRequest.Builder |
clear() |
SearchJobsRequest.Builder |
clearCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.Builder |
clearDisableKeywordMatch()
Deprecated.
google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See
google/cloud/talent/v4/job_service.proto;l=739
|
SearchJobsRequest.Builder |
clearDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in
the search results.
|
SearchJobsRequest.Builder |
clearEnableBroadening()
Controls whether to broaden the search when it produces sparse results.
|
SearchJobsRequest.Builder |
clearField(Descriptors.FieldDescriptor field) |
SearchJobsRequest.Builder |
clearHistogramQueries()
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
clearJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
|
SearchJobsRequest.Builder |
clearJobView()
The desired job attributes returned for jobs in the search response.
|
SearchJobsRequest.Builder |
clearKeywordMatchMode()
Controls what keyword match options to use.
|
SearchJobsRequest.Builder |
clearMaxPageSize()
A limit on the number of jobs returned in the search results.
|
SearchJobsRequest.Builder |
clearOffset()
An integer that specifies the current offset (that is, starting result
location, amongst the jobs deemed by the API as relevant) in search
results.
|
SearchJobsRequest.Builder |
clearOneof(Descriptors.OneofDescriptor oneof) |
SearchJobsRequest.Builder |
clearOrderBy()
The criteria determining how search results are sorted.
|
SearchJobsRequest.Builder |
clearPageToken()
The token specifying the current offset within
search results.
|
SearchJobsRequest.Builder |
clearParent()
Required.
|
SearchJobsRequest.Builder |
clearRequestMetadata()
Required.
|
SearchJobsRequest.Builder |
clearSearchMode()
Mode of a search.
|
SearchJobsRequest.Builder |
clone() |
SearchJobsRequest.CustomRankingInfo |
getCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.CustomRankingInfo.Builder |
getCustomRankingInfoBuilder()
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.CustomRankingInfoOrBuilder |
getCustomRankingInfoOrBuilder()
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest |
getDefaultInstanceForType() |
static Descriptors.Descriptor |
getDescriptor() |
Descriptors.Descriptor |
getDescriptorForType() |
boolean |
getDisableKeywordMatch()
Deprecated.
google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See
google/cloud/talent/v4/job_service.proto;l=739
|
SearchJobsRequest.DiversificationLevel |
getDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in
the search results.
|
int |
getDiversificationLevelValue()
Controls whether highly similar jobs are returned next to each other in
the search results.
|
boolean |
getEnableBroadening()
Controls whether to broaden the search when it produces sparse results.
|
HistogramQuery |
getHistogramQueries(int index)
An expression specifies a histogram request against matching jobs.
|
HistogramQuery.Builder |
getHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs.
|
List<HistogramQuery.Builder> |
getHistogramQueriesBuilderList()
An expression specifies a histogram request against matching jobs.
|
int |
getHistogramQueriesCount()
An expression specifies a histogram request against matching jobs.
|
List<HistogramQuery> |
getHistogramQueriesList()
An expression specifies a histogram request against matching jobs.
|
HistogramQueryOrBuilder |
getHistogramQueriesOrBuilder(int index)
An expression specifies a histogram request against matching jobs.
|
List<? extends HistogramQueryOrBuilder> |
getHistogramQueriesOrBuilderList()
An expression specifies a histogram request against matching jobs.
|
JobQuery |
getJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
|
JobQuery.Builder |
getJobQueryBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
|
JobQueryOrBuilder |
getJobQueryOrBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
|
JobView |
getJobView()
The desired job attributes returned for jobs in the search response.
|
int |
getJobViewValue()
The desired job attributes returned for jobs in the search response.
|
SearchJobsRequest.KeywordMatchMode |
getKeywordMatchMode()
Controls what keyword match options to use.
|
int |
getKeywordMatchModeValue()
Controls what keyword match options to use.
|
int |
getMaxPageSize()
A limit on the number of jobs returned in the search results.
|
int |
getOffset()
An integer that specifies the current offset (that is, starting result
location, amongst the jobs deemed by the API as relevant) in search
results.
|
String |
getOrderBy()
The criteria determining how search results are sorted.
|
ByteString |
getOrderByBytes()
The criteria determining how search results are sorted.
|
String |
getPageToken()
The token specifying the current offset within
search results.
|
ByteString |
getPageTokenBytes()
The token specifying the current offset within
search results.
|
String |
getParent()
Required.
|
ByteString |
getParentBytes()
Required.
|
RequestMetadata |
getRequestMetadata()
Required.
|
RequestMetadata.Builder |
getRequestMetadataBuilder()
Required.
|
RequestMetadataOrBuilder |
getRequestMetadataOrBuilder()
Required.
|
SearchJobsRequest.SearchMode |
getSearchMode()
Mode of a search.
|
int |
getSearchModeValue()
Mode of a search.
|
boolean |
hasCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
boolean |
hasJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
|
boolean |
hasRequestMetadata()
Required.
|
protected GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
SearchJobsRequest.Builder |
mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.Builder |
mergeFrom(CodedInputStream input,
ExtensionRegistryLite extensionRegistry) |
SearchJobsRequest.Builder |
mergeFrom(Message other) |
SearchJobsRequest.Builder |
mergeFrom(SearchJobsRequest other) |
SearchJobsRequest.Builder |
mergeJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.
|
SearchJobsRequest.Builder |
mergeRequestMetadata(RequestMetadata value)
Required.
|
SearchJobsRequest.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields) |
SearchJobsRequest.Builder |
removeHistogramQueries(int index)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.Builder |
setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance
score (determined by API algorithm).
|
SearchJobsRequest.Builder |
setDisableKeywordMatch(boolean value)
Deprecated.
google.cloud.talent.v4.SearchJobsRequest.disable_keyword_match is deprecated. See
google/cloud/talent/v4/job_service.proto;l=739
|
SearchJobsRequest.Builder |
setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)
Controls whether highly similar jobs are returned next to each other in
the search results.
|
SearchJobsRequest.Builder |
setDiversificationLevelValue(int value)
Controls whether highly similar jobs are returned next to each other in
the search results.
|
SearchJobsRequest.Builder |
setEnableBroadening(boolean value)
Controls whether to broaden the search when it produces sparse results.
|
SearchJobsRequest.Builder |
setField(Descriptors.FieldDescriptor field,
Object value) |
SearchJobsRequest.Builder |
setHistogramQueries(int index,
HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
setHistogramQueries(int index,
HistogramQuery value)
An expression specifies a histogram request against matching jobs.
|
SearchJobsRequest.Builder |
setJobQuery(JobQuery.Builder builderForValue)
Query used to search against jobs, such as keyword, location filters, etc.
|
SearchJobsRequest.Builder |
setJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.
|
SearchJobsRequest.Builder |
setJobView(JobView value)
The desired job attributes returned for jobs in the search response.
|
SearchJobsRequest.Builder |
setJobViewValue(int value)
The desired job attributes returned for jobs in the search response.
|
SearchJobsRequest.Builder |
setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)
Controls what keyword match options to use.
|
SearchJobsRequest.Builder |
setKeywordMatchModeValue(int value)
Controls what keyword match options to use.
|
SearchJobsRequest.Builder |
setMaxPageSize(int value)
A limit on the number of jobs returned in the search results.
|
SearchJobsRequest.Builder |
setOffset(int value)
An integer that specifies the current offset (that is, starting result
location, amongst the jobs deemed by the API as relevant) in search
results.
|
SearchJobsRequest.Builder |
setOrderBy(String value)
The criteria determining how search results are sorted.
|
SearchJobsRequest.Builder |
setOrderByBytes(ByteString value)
The criteria determining how search results are sorted.
|
SearchJobsRequest.Builder |
setPageToken(String value)
The token specifying the current offset within
search results.
|
SearchJobsRequest.Builder |
setPageTokenBytes(ByteString value)
The token specifying the current offset within
search results.
|
SearchJobsRequest.Builder |
setParent(String value)
Required.
|
SearchJobsRequest.Builder |
setParentBytes(ByteString value)
Required.
|
SearchJobsRequest.Builder |
setRepeatedField(Descriptors.FieldDescriptor field,
int index,
Object value) |
SearchJobsRequest.Builder |
setRequestMetadata(RequestMetadata.Builder builderForValue)
Required.
|
SearchJobsRequest.Builder |
setRequestMetadata(RequestMetadata value)
Required.
|
SearchJobsRequest.Builder |
setSearchMode(SearchJobsRequest.SearchMode value)
Mode of a search.
|
SearchJobsRequest.Builder |
setSearchModeValue(int value)
Mode of a search.
|
SearchJobsRequest.Builder |
setUnknownFields(UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitfindInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofmergeDelimitedFrom, mergeDelimitedFrommergeFrompublic static final Descriptors.Descriptor getDescriptor()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clear()
clear in interface Message.Builderclear in interface MessageLite.Builderclear in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface Message.BuildergetDescriptorForType in interface MessageOrBuildergetDescriptorForType in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest getDefaultInstanceForType()
getDefaultInstanceForType in interface MessageLiteOrBuildergetDefaultInstanceForType in interface MessageOrBuilderpublic SearchJobsRequest build()
build in interface Message.Builderbuild in interface MessageLite.Builderpublic SearchJobsRequest buildPartial()
buildPartial in interface Message.BuilderbuildPartial in interface MessageLite.Builderpublic SearchJobsRequest.Builder clone()
clone in interface Message.Builderclone in interface MessageLite.Builderclone in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
setField in interface Message.BuildersetField in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clearField(Descriptors.FieldDescriptor field)
clearField in interface Message.BuilderclearField in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
clearOneof in interface Message.BuilderclearOneof in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface Message.BuildersetRepeatedField in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface Message.BuilderaddRepeatedField in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(Message other)
mergeFrom in interface Message.BuildermergeFrom in class AbstractMessage.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(SearchJobsRequest other)
public final boolean isInitialized()
isInitialized in interface MessageLiteOrBuilderisInitialized in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public SearchJobsRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface Message.BuildermergeFrom in interface MessageLite.BuildermergeFrom in class AbstractMessage.Builder<SearchJobsRequest.Builder>IOExceptionpublic String getParent()
Required. The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}". For example,
"projects/foo/tenants/bar".
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
getParent in interface SearchJobsRequestOrBuilderpublic ByteString getParentBytes()
Required. The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}". For example,
"projects/foo/tenants/bar".
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
getParentBytes in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setParent(String value)
Required. The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}". For example,
"projects/foo/tenants/bar".
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
value - The parent to set.public SearchJobsRequest.Builder clearParent()
Required. The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}". For example,
"projects/foo/tenants/bar".
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
public SearchJobsRequest.Builder setParentBytes(ByteString value)
Required. The resource name of the tenant to search within.
The format is "projects/{project_id}/tenants/{tenant_id}". For example,
"projects/foo/tenants/bar".
string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
value - The bytes for parent to set.public int getSearchModeValue()
Mode of a search. Defaults to [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;getSearchModeValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setSearchModeValue(int value)
Mode of a search. Defaults to [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;value - The enum numeric value on the wire for searchMode to set.public SearchJobsRequest.SearchMode getSearchMode()
Mode of a search. Defaults to [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;getSearchMode in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setSearchMode(SearchJobsRequest.SearchMode value)
Mode of a search. Defaults to [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;value - The searchMode to set.public SearchJobsRequest.Builder clearSearchMode()
Mode of a search. Defaults to [SearchMode.JOB_SEARCH][google.cloud.talent.v4.SearchJobsRequest.SearchMode.JOB_SEARCH].
.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;public boolean hasRequestMetadata()
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
hasRequestMetadata in interface SearchJobsRequestOrBuilderpublic RequestMetadata getRequestMetadata()
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
getRequestMetadata in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setRequestMetadata(RequestMetadata value)
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
public SearchJobsRequest.Builder setRequestMetadata(RequestMetadata.Builder builderForValue)
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
public SearchJobsRequest.Builder mergeRequestMetadata(RequestMetadata value)
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
public SearchJobsRequest.Builder clearRequestMetadata()
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
public RequestMetadata.Builder getRequestMetadataBuilder()
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
public RequestMetadataOrBuilder getRequestMetadataOrBuilder()
Required. The meta information collected about the job searcher, used to improve the search quality of the service. The identifiers (such as `user_id`) are provided by users, and must be unique and consistent.
.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];
getRequestMetadataOrBuilder in interface SearchJobsRequestOrBuilderpublic boolean hasJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;hasJobQuery in interface SearchJobsRequestOrBuilderpublic JobQuery getJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;getJobQuery in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;public SearchJobsRequest.Builder setJobQuery(JobQuery.Builder builderForValue)
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;public SearchJobsRequest.Builder mergeJobQuery(JobQuery value)
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;public SearchJobsRequest.Builder clearJobQuery()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;public JobQuery.Builder getJobQueryBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;public JobQueryOrBuilder getJobQueryOrBuilder()
Query used to search against jobs, such as keyword, location filters, etc.
.google.cloud.talent.v4.JobQuery job_query = 4;getJobQueryOrBuilder in interface SearchJobsRequestOrBuilderpublic boolean getEnableBroadening()
Controls whether to broaden the search when it produces sparse results. Broadened queries append results to the end of the matching results list. Defaults to false.
bool enable_broadening = 5;getEnableBroadening in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setEnableBroadening(boolean value)
Controls whether to broaden the search when it produces sparse results. Broadened queries append results to the end of the matching results list. Defaults to false.
bool enable_broadening = 5;value - The enableBroadening to set.public SearchJobsRequest.Builder clearEnableBroadening()
Controls whether to broaden the search when it produces sparse results. Broadened queries append results to the end of the matching results list. Defaults to false.
bool enable_broadening = 5;public List<HistogramQuery> getHistogramQueriesList()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;getHistogramQueriesList in interface SearchJobsRequestOrBuilderpublic int getHistogramQueriesCount()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;getHistogramQueriesCount in interface SearchJobsRequestOrBuilderpublic HistogramQuery getHistogramQueries(int index)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;getHistogramQueries in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery value)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder setHistogramQueries(int index, HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery value)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery value)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder addHistogramQueries(HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder addHistogramQueries(int index, HistogramQuery.Builder builderForValue)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder addAllHistogramQueries(Iterable<? extends HistogramQuery> values)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder clearHistogramQueries()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public SearchJobsRequest.Builder removeHistogramQueries(int index)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public HistogramQuery.Builder getHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public HistogramQueryOrBuilder getHistogramQueriesOrBuilder(int index)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;getHistogramQueriesOrBuilder in interface SearchJobsRequestOrBuilderpublic List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;getHistogramQueriesOrBuilderList in interface SearchJobsRequestOrBuilderpublic HistogramQuery.Builder addHistogramQueriesBuilder()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public HistogramQuery.Builder addHistogramQueriesBuilder(int index)
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public List<HistogramQuery.Builder> getHistogramQueriesBuilderList()
An expression specifies a histogram request against matching jobs. Expression syntax is an aggregation function call with histogram facets and other options. Available aggregation function calls are: * `count(string_histogram_facet)`: Count the number of matching entities, for each distinct attribute value. * `count(numeric_histogram_facet, list of buckets)`: Count the number of matching entities within each bucket. A maximum of 200 histogram buckets are supported. Data types: * Histogram facet: facet names with format `[a-zA-Z][a-zA-Z0-9_]+`. * String: string like "any string with backslash escape for quote(\")." * Number: whole number and floating point number like 10, -1 and -0.01. * List: list of elements with comma(,) separator surrounded by square brackets, for example, [1, 2, 3] and ["one", "two", "three"]. Built-in constants: * MIN (minimum number similar to java Double.MIN_VALUE) * MAX (maximum number similar to java Double.MAX_VALUE) Built-in functions: * bucket(start, end[, label]): bucket built-in function creates a bucket with range of [start, end). Note that the end is exclusive, for example, bucket(1, MAX, "positive number") or bucket(1, 10). Job histogram facets: * company_display_name: histogram by [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name]. * employment_type: histogram by [Job.employment_types][google.cloud.talent.v4.Job.employment_types], for example, "FULL_TIME", "PART_TIME". * company_size: histogram by [CompanySize][google.cloud.talent.v4.CompanySize], for example, "SMALL", "MEDIUM", "BIG". * publish_time_in_day: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in days. Must specify list of numeric buckets in spec. * publish_time_in_month: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in months. Must specify list of numeric buckets in spec. * publish_time_in_year: histogram by the [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time] in years. Must specify list of numeric buckets in spec. * degree_types: histogram by the [Job.degree_types][google.cloud.talent.v4.Job.degree_types], for example, "Bachelors", "Masters". * job_level: histogram by the [Job.job_level][google.cloud.talent.v4.Job.job_level], for example, "Entry Level". * country: histogram by the country code of jobs, for example, "US", "FR". * admin1: histogram by the admin1 code of jobs, which is a global placeholder referring to the state, province, or the particular term a country uses to define the geographic structure below the country level, for example, "CA", "IL". * city: histogram by a combination of the "city name, admin1 code". For example, "Mountain View, CA", "New York, NY". * admin1_country: histogram by a combination of the "admin1 code, country", for example, "CA, US", "IL, US". * city_coordinate: histogram by the city center's GPS coordinates (latitude and longitude), for example, 37.4038522,-122.0987765. Since the coordinates of a city center can change, customers may need to refresh them periodically. * locale: histogram by the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en-US", "fr-FR". * language: histogram by the language subtag of the [Job.language_code][google.cloud.talent.v4.Job.language_code], for example, "en", "fr". * category: histogram by the [JobCategory][google.cloud.talent.v4.JobCategory], for example, "COMPUTER_AND_IT", "HEALTHCARE". * base_compensation_unit: histogram by the [CompensationInfo.CompensationUnit][google.cloud.talent.v4.CompensationInfo.CompensationUnit] of base salary, for example, "WEEKLY", "MONTHLY". * base_compensation: histogram by the base salary. Must specify list of numeric buckets to group results by. * annualized_base_compensation: histogram by the base annualized salary. Must specify list of numeric buckets to group results by. * annualized_total_compensation: histogram by the total annualized salary. Must specify list of numeric buckets to group results by. * string_custom_attribute: histogram by string [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like string_custom_attribute["key1"]. * numeric_custom_attribute: histogram by numeric [Job.custom_attributes][google.cloud.talent.v4.Job.custom_attributes]. Values can be accessed via square bracket notations like numeric_custom_attribute["key1"]. Must specify list of numeric buckets to group results by. Example expressions: * `count(admin1)` * `count(base_compensation, [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)])` * `count(string_custom_attribute["some-string-custom-attribute"])` * `count(numeric_custom_attribute["some-numeric-custom-attribute"], [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative")])`
repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;public int getJobViewValue()
The desired job attributes returned for jobs in the search response. Defaults to [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if no value is specified.
.google.cloud.talent.v4.JobView job_view = 8;getJobViewValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobViewValue(int value)
The desired job attributes returned for jobs in the search response. Defaults to [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if no value is specified.
.google.cloud.talent.v4.JobView job_view = 8;value - The enum numeric value on the wire for jobView to set.public JobView getJobView()
The desired job attributes returned for jobs in the search response. Defaults to [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if no value is specified.
.google.cloud.talent.v4.JobView job_view = 8;getJobView in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setJobView(JobView value)
The desired job attributes returned for jobs in the search response. Defaults to [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if no value is specified.
.google.cloud.talent.v4.JobView job_view = 8;value - The jobView to set.public SearchJobsRequest.Builder clearJobView()
The desired job attributes returned for jobs in the search response. Defaults to [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4.JobView.JOB_VIEW_SMALL] if no value is specified.
.google.cloud.talent.v4.JobView job_view = 8;public int getOffset()
An integer that specifies the current offset (that is, starting result location, amongst the jobs deemed by the API as relevant) in search results. This field is only considered if [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset. The maximum allowed value is 5000. Otherwise an error is thrown. For example, 0 means to return results starting from the first matching job, and 10 means to return from the 11th job. This can be used for pagination, (for example, pageSize = 10 and offset = 10 means to return from the second page).
int32 offset = 9;getOffset in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setOffset(int value)
An integer that specifies the current offset (that is, starting result location, amongst the jobs deemed by the API as relevant) in search results. This field is only considered if [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset. The maximum allowed value is 5000. Otherwise an error is thrown. For example, 0 means to return results starting from the first matching job, and 10 means to return from the 11th job. This can be used for pagination, (for example, pageSize = 10 and offset = 10 means to return from the second page).
int32 offset = 9;value - The offset to set.public SearchJobsRequest.Builder clearOffset()
An integer that specifies the current offset (that is, starting result location, amongst the jobs deemed by the API as relevant) in search results. This field is only considered if [page_token][google.cloud.talent.v4.SearchJobsRequest.page_token] is unset. The maximum allowed value is 5000. Otherwise an error is thrown. For example, 0 means to return results starting from the first matching job, and 10 means to return from the 11th job. This can be used for pagination, (for example, pageSize = 10 and offset = 10 means to return from the second page).
int32 offset = 9;public int getMaxPageSize()
A limit on the number of jobs returned in the search results. Increasing this value above the default value of 10 can increase search response time. The value can be between 1 and 100.
int32 max_page_size = 10;getMaxPageSize in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setMaxPageSize(int value)
A limit on the number of jobs returned in the search results. Increasing this value above the default value of 10 can increase search response time. The value can be between 1 and 100.
int32 max_page_size = 10;value - The maxPageSize to set.public SearchJobsRequest.Builder clearMaxPageSize()
A limit on the number of jobs returned in the search results. Increasing this value above the default value of 10 can increase search response time. The value can be between 1 and 100.
int32 max_page_size = 10;public String getPageToken()
The token specifying the current offset within search results. See [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token] for an explanation of how to obtain the next set of query results.
string page_token = 11;getPageToken in interface SearchJobsRequestOrBuilderpublic ByteString getPageTokenBytes()
The token specifying the current offset within search results. See [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token] for an explanation of how to obtain the next set of query results.
string page_token = 11;getPageTokenBytes in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setPageToken(String value)
The token specifying the current offset within search results. See [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token] for an explanation of how to obtain the next set of query results.
string page_token = 11;value - The pageToken to set.public SearchJobsRequest.Builder clearPageToken()
The token specifying the current offset within search results. See [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token] for an explanation of how to obtain the next set of query results.
string page_token = 11;public SearchJobsRequest.Builder setPageTokenBytes(ByteString value)
The token specifying the current offset within search results. See [SearchJobsResponse.next_page_token][google.cloud.talent.v4.SearchJobsResponse.next_page_token] for an explanation of how to obtain the next set of query results.
string page_token = 11;value - The bytes for pageToken to set.public String getOrderBy()
The criteria determining how search results are sorted. Default is
`"relevance desc"`.
Supported options are:
* `"relevance desc"`: By relevance descending, as determined by the API
algorithms. Relevance thresholding of query results is only available
with this ordering.
* `"posting_publish_time desc"`: By [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
descending.
* `"posting_update_time desc"`: By [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
descending.
* `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
* `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title] descending.
* `"annualized_base_compensation"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_base_compensation desc"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation desc"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"custom_ranking desc"`: By the relevance score adjusted to the
[SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression] with weight
factor assigned by
[SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level] in descending
order.
* Location sorting: Use the special syntax to order jobs by distance:<br>
`"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
`"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
`"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
multiple locations. See details below.<br>
`"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
multiple locations. See details below.<br>
The string can have a maximum of 256 characters. When multiple distance
centers are provided, a job that is close to any of the distance centers
would have a high rank. When a job has multiple locations, the job
location closest to one of the distance centers will be used. Jobs that
don't have locations will be ranked at the bottom. Distance is calculated
with a precision of 11.3 meters (37.4 feet). Diversification strategy is
still applied unless explicitly disabled in
[diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
string order_by = 12;getOrderBy in interface SearchJobsRequestOrBuilderpublic ByteString getOrderByBytes()
The criteria determining how search results are sorted. Default is
`"relevance desc"`.
Supported options are:
* `"relevance desc"`: By relevance descending, as determined by the API
algorithms. Relevance thresholding of query results is only available
with this ordering.
* `"posting_publish_time desc"`: By [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
descending.
* `"posting_update_time desc"`: By [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
descending.
* `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
* `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title] descending.
* `"annualized_base_compensation"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_base_compensation desc"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation desc"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"custom_ranking desc"`: By the relevance score adjusted to the
[SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression] with weight
factor assigned by
[SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level] in descending
order.
* Location sorting: Use the special syntax to order jobs by distance:<br>
`"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
`"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
`"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
multiple locations. See details below.<br>
`"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
multiple locations. See details below.<br>
The string can have a maximum of 256 characters. When multiple distance
centers are provided, a job that is close to any of the distance centers
would have a high rank. When a job has multiple locations, the job
location closest to one of the distance centers will be used. Jobs that
don't have locations will be ranked at the bottom. Distance is calculated
with a precision of 11.3 meters (37.4 feet). Diversification strategy is
still applied unless explicitly disabled in
[diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
string order_by = 12;getOrderByBytes in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setOrderBy(String value)
The criteria determining how search results are sorted. Default is
`"relevance desc"`.
Supported options are:
* `"relevance desc"`: By relevance descending, as determined by the API
algorithms. Relevance thresholding of query results is only available
with this ordering.
* `"posting_publish_time desc"`: By [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
descending.
* `"posting_update_time desc"`: By [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
descending.
* `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
* `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title] descending.
* `"annualized_base_compensation"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_base_compensation desc"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation desc"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"custom_ranking desc"`: By the relevance score adjusted to the
[SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression] with weight
factor assigned by
[SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level] in descending
order.
* Location sorting: Use the special syntax to order jobs by distance:<br>
`"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
`"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
`"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
multiple locations. See details below.<br>
`"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
multiple locations. See details below.<br>
The string can have a maximum of 256 characters. When multiple distance
centers are provided, a job that is close to any of the distance centers
would have a high rank. When a job has multiple locations, the job
location closest to one of the distance centers will be used. Jobs that
don't have locations will be ranked at the bottom. Distance is calculated
with a precision of 11.3 meters (37.4 feet). Diversification strategy is
still applied unless explicitly disabled in
[diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
string order_by = 12;value - The orderBy to set.public SearchJobsRequest.Builder clearOrderBy()
The criteria determining how search results are sorted. Default is
`"relevance desc"`.
Supported options are:
* `"relevance desc"`: By relevance descending, as determined by the API
algorithms. Relevance thresholding of query results is only available
with this ordering.
* `"posting_publish_time desc"`: By [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
descending.
* `"posting_update_time desc"`: By [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
descending.
* `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
* `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title] descending.
* `"annualized_base_compensation"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_base_compensation desc"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation desc"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"custom_ranking desc"`: By the relevance score adjusted to the
[SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression] with weight
factor assigned by
[SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level] in descending
order.
* Location sorting: Use the special syntax to order jobs by distance:<br>
`"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
`"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
`"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
multiple locations. See details below.<br>
`"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
multiple locations. See details below.<br>
The string can have a maximum of 256 characters. When multiple distance
centers are provided, a job that is close to any of the distance centers
would have a high rank. When a job has multiple locations, the job
location closest to one of the distance centers will be used. Jobs that
don't have locations will be ranked at the bottom. Distance is calculated
with a precision of 11.3 meters (37.4 feet). Diversification strategy is
still applied unless explicitly disabled in
[diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
string order_by = 12;public SearchJobsRequest.Builder setOrderByBytes(ByteString value)
The criteria determining how search results are sorted. Default is
`"relevance desc"`.
Supported options are:
* `"relevance desc"`: By relevance descending, as determined by the API
algorithms. Relevance thresholding of query results is only available
with this ordering.
* `"posting_publish_time desc"`: By [Job.posting_publish_time][google.cloud.talent.v4.Job.posting_publish_time]
descending.
* `"posting_update_time desc"`: By [Job.posting_update_time][google.cloud.talent.v4.Job.posting_update_time]
descending.
* `"title"`: By [Job.title][google.cloud.talent.v4.Job.title] ascending.
* `"title desc"`: By [Job.title][google.cloud.talent.v4.Job.title] descending.
* `"annualized_base_compensation"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_base_compensation desc"`: By job's
[CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_base_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] ascending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"annualized_total_compensation desc"`: By job's
[CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4.CompensationInfo.annualized_total_compensation_range] descending. Jobs
whose annualized base compensation is unspecified are put at the end of
search results.
* `"custom_ranking desc"`: By the relevance score adjusted to the
[SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.ranking_expression] with weight
factor assigned by
[SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo.importance_level] in descending
order.
* Location sorting: Use the special syntax to order jobs by distance:<br>
`"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
`"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
`"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
multiple locations. See details below.<br>
`"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
multiple locations. See details below.<br>
The string can have a maximum of 256 characters. When multiple distance
centers are provided, a job that is close to any of the distance centers
would have a high rank. When a job has multiple locations, the job
location closest to one of the distance centers will be used. Jobs that
don't have locations will be ranked at the bottom. Distance is calculated
with a precision of 11.3 meters (37.4 feet). Diversification strategy is
still applied unless explicitly disabled in
[diversification_level][google.cloud.talent.v4.SearchJobsRequest.diversification_level].
string order_by = 12;value - The bytes for orderBy to set.public int getDiversificationLevelValue()
Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results. Defaults to [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
getDiversificationLevelValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setDiversificationLevelValue(int value)
Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results. Defaults to [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
value - The enum numeric value on the wire for diversificationLevel to set.public SearchJobsRequest.DiversificationLevel getDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results. Defaults to [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
getDiversificationLevel in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)
Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results. Defaults to [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
value - The diversificationLevel to set.public SearchJobsRequest.Builder clearDiversificationLevel()
Controls whether highly similar jobs are returned next to each other in the search results. Jobs are identified as highly similar based on their titles, job categories, and locations. Highly similar results are clustered so that only one representative job of the cluster is displayed to the job seeker higher up in the results, with the other jobs being displayed lower down in the results. Defaults to [DiversificationLevel.SIMPLE][google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel.SIMPLE] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;
public boolean hasCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
hasCustomRankingInfo in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
getCustomRankingInfo in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
public SearchJobsRequest.Builder setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
public SearchJobsRequest.Builder mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
public SearchJobsRequest.Builder clearCustomRankingInfo()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
public SearchJobsRequest.CustomRankingInfo.Builder getCustomRankingInfoBuilder()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
public SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()
Controls over how job documents get ranked on top of existing relevance score (determined by API algorithm).
.google.cloud.talent.v4.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;
getCustomRankingInfoOrBuilder in interface SearchJobsRequestOrBuilder@Deprecated public boolean getDisableKeywordMatch()
This field is deprecated. Please use [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] going forward. To migrate, disable_keyword_match set to false maps to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL], and disable_keyword_match set to true maps to [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED]. If [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] is set, this field is ignored. Controls whether to disable exact keyword match on [Job.title][google.cloud.talent.v4.Job.title], [Job.description][google.cloud.talent.v4.Job.description], [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name], [Job.addresses][google.cloud.talent.v4.Job.addresses], [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When disable keyword match is turned off, a keyword match returns jobs that do not match given category filters when there are matching keywords. For example, for the query "program manager," a result is returned even if the job posting has the title "software developer," which doesn't fall into "program manager" ontology, but does have "program manager" appearing in its description. For queries like "cloud" that don't contain title or location specific ontology, jobs with "cloud" keyword matches are returned regardless of this flag's value. Use [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes] if company-specific globally matched custom field/attribute string values are needed. Enabling keyword match improves recall of subsequent search requests. Defaults to false.
bool disable_keyword_match = 16 [deprecated = true];getDisableKeywordMatch in interface SearchJobsRequestOrBuilder@Deprecated public SearchJobsRequest.Builder setDisableKeywordMatch(boolean value)
This field is deprecated. Please use [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] going forward. To migrate, disable_keyword_match set to false maps to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL], and disable_keyword_match set to true maps to [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED]. If [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] is set, this field is ignored. Controls whether to disable exact keyword match on [Job.title][google.cloud.talent.v4.Job.title], [Job.description][google.cloud.talent.v4.Job.description], [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name], [Job.addresses][google.cloud.talent.v4.Job.addresses], [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When disable keyword match is turned off, a keyword match returns jobs that do not match given category filters when there are matching keywords. For example, for the query "program manager," a result is returned even if the job posting has the title "software developer," which doesn't fall into "program manager" ontology, but does have "program manager" appearing in its description. For queries like "cloud" that don't contain title or location specific ontology, jobs with "cloud" keyword matches are returned regardless of this flag's value. Use [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes] if company-specific globally matched custom field/attribute string values are needed. Enabling keyword match improves recall of subsequent search requests. Defaults to false.
bool disable_keyword_match = 16 [deprecated = true];value - The disableKeywordMatch to set.@Deprecated public SearchJobsRequest.Builder clearDisableKeywordMatch()
This field is deprecated. Please use [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] going forward. To migrate, disable_keyword_match set to false maps to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL], and disable_keyword_match set to true maps to [KeywordMatchMode.KEYWORD_MATCH_DISABLED][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_DISABLED]. If [SearchJobsRequest.keyword_match_mode][google.cloud.talent.v4.SearchJobsRequest.keyword_match_mode] is set, this field is ignored. Controls whether to disable exact keyword match on [Job.title][google.cloud.talent.v4.Job.title], [Job.description][google.cloud.talent.v4.Job.description], [Job.company_display_name][google.cloud.talent.v4.Job.company_display_name], [Job.addresses][google.cloud.talent.v4.Job.addresses], [Job.qualifications][google.cloud.talent.v4.Job.qualifications]. When disable keyword match is turned off, a keyword match returns jobs that do not match given category filters when there are matching keywords. For example, for the query "program manager," a result is returned even if the job posting has the title "software developer," which doesn't fall into "program manager" ontology, but does have "program manager" appearing in its description. For queries like "cloud" that don't contain title or location specific ontology, jobs with "cloud" keyword matches are returned regardless of this flag's value. Use [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4.Company.keyword_searchable_job_custom_attributes] if company-specific globally matched custom field/attribute string values are needed. Enabling keyword match improves recall of subsequent search requests. Defaults to false.
bool disable_keyword_match = 16 [deprecated = true];public int getKeywordMatchModeValue()
Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence. Defaults to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
getKeywordMatchModeValue in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setKeywordMatchModeValue(int value)
Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence. Defaults to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
value - The enum numeric value on the wire for keywordMatchMode to set.public SearchJobsRequest.KeywordMatchMode getKeywordMatchMode()
Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence. Defaults to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
getKeywordMatchMode in interface SearchJobsRequestOrBuilderpublic SearchJobsRequest.Builder setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)
Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence. Defaults to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
value - The keywordMatchMode to set.public SearchJobsRequest.Builder clearKeywordMatchMode()
Controls what keyword match options to use. If both keyword_match_mode and disable_keyword_match are set, keyword_match_mode will take precedence. Defaults to [KeywordMatchMode.KEYWORD_MATCH_ALL][google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode.KEYWORD_MATCH_ALL] if no value is specified.
.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;
public final SearchJobsRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
setUnknownFields in interface Message.BuildersetUnknownFields in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>public final SearchJobsRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
mergeUnknownFields in interface Message.BuildermergeUnknownFields in class GeneratedMessageV3.Builder<SearchJobsRequest.Builder>Copyright © 2022 Google LLC. All rights reserved.