Class: Google::Apis::JobsV3p1beta1::HistogramQuery

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/jobs_v3p1beta1/classes.rb,
generated/google/apis/jobs_v3p1beta1/representations.rb,
generated/google/apis/jobs_v3p1beta1/representations.rb

Overview

Input Only. The histogram request.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ HistogramQuery

Returns a new instance of HistogramQuery.



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# File 'generated/google/apis/jobs_v3p1beta1/classes.rb', line 1142

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#histogram_query ⇒ String

An expression specifies a histogram request against matching resources (for example, jobs) for searches. Expression syntax is a aggregation function call with histogram facets and other options. Available aggregation function calls are:

  • count(string_histogram_facet): Count the number of matching entity, for each distinct attribute value.
  • count(numeric_histogram_facet, list of buckets): Count the number of matching entity within each bucket. Data types:
  • Histogram facet: facet names with format a-zA-Z+.
  • 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_id: histogram by [Job.distributor_company_id.
  • company_display_name: histogram by Job.company_display_name.
  • employment_type: histogram by Job.employment_types. For example, "FULL_TIME", "PART_TIME".
  • company_size: histogram by CompanySize, for example, "SMALL", "MEDIUM", "BIG".
  • publish_time_in_month: histogram by the Job.publish_time in months. Must specify list of numeric buckets in spec.
  • publish_time_in_year: histogram by the Job.publish_time in years. Must specify list of numeric buckets in spec.
  • degree_type: histogram by the Job.degree_type. For example, "Bachelors", "Masters".
  • job_level: histogram by the 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. For example, "en-US", "fr-FR".
  • language: histogram by the language subtag of the Job.language_code. For example, "en", "fr".
  • category: histogram by the JobCategory. For example, "COMPUTER_AND_IT", "HEALTHCARE".
  • base_compensation_unit: histogram by the 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. Values can be accessed via square bracket notations like string_custom_attribute["key1"].
  • numeric_custom_attribute: histogram by numeric 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"]) Corresponds to the JSON property histogramQuery

Returns:

  • (String) 


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# File 'generated/google/apis/jobs_v3p1beta1/classes.rb', line 1140

def histogram_query
  @histogram_query
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/jobs_v3p1beta1/classes.rb', line 1147

def update!(**args)
  @histogram_query = args[:histogram_query] if args.key?(:histogram_query)
end