Class SearchJobsRequest.Builder (2.2.9)

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

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > SearchJobsRequest.Builder

Implements

SearchJobsRequestOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeDelimitedFrom(InputStream)

AbstractMessage.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

Methods

addAllHistogramQueries(Iterable<? extends HistogramQuery> values)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
values	`Iterable<? extends com.google.cloud.talent.v4.HistogramQuery>`

Returns

Type	Description
SearchJobsRequest.Builder

addHistogramQueries(HistogramQuery value)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
value	`HistogramQuery`

Returns

Type	Description
SearchJobsRequest.Builder

addHistogramQueries(HistogramQuery.Builder builderForValue)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
builderForValue	`HistogramQuery.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

addHistogramQueries(int index, HistogramQuery value)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameters

Name	Description
index	`int`
value	`HistogramQuery`

Returns

Type	Description
SearchJobsRequest.Builder

addHistogramQueries(int index, HistogramQuery.Builder builderForValue)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameters

Name	Description
index	`int`
builderForValue	`HistogramQuery.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

addHistogramQueriesBuilder()

public 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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
HistogramQuery.Builder

addHistogramQueriesBuilder(int index)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
index	`int`

Returns

Type	Description
HistogramQuery.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public SearchJobsRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	`FieldDescriptor`
value	`Object`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public SearchJobsRequest build()

Returns

Type	Description
SearchJobsRequest

buildPartial()

public SearchJobsRequest buildPartial()

Returns

Type	Description
SearchJobsRequest

clear()

public SearchJobsRequest.Builder clear()

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCustomRankingInfo()

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;

Returns

Type	Description
SearchJobsRequest.Builder

clearDisableKeywordMatch()

public SearchJobsRequest.Builder clearDisableKeywordMatch()

This field is deprecated. Please use SearchJobsRequest.keyword_match_mode going forward. To migrate, disable_keyword_match set to false maps to KeywordMatchMode.KEYWORD_MATCH_ALL, and disable_keyword_match set to true maps to KeywordMatchMode.KEYWORD_MATCH_DISABLED. If SearchJobsRequest.keyword_match_mode is set, this field is ignored. Controls whether to disable exact keyword match on Job.title, Job.description, Job.company_display_name, Job.addresses, 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 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];

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearDiversificationLevel()

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 if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearEnableBroadening()

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;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public SearchJobsRequest.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	`FieldDescriptor`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearHistogramQueries()

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
SearchJobsRequest.Builder

clearJobQuery()

public SearchJobsRequest.Builder clearJobQuery()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns

Type	Description
SearchJobsRequest.Builder

clearJobView()

public SearchJobsRequest.Builder clearJobView()

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearKeywordMatchMode()

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 if no value is specified.

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearMaxPageSize()

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;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearOffset()

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 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;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public SearchJobsRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	`OneofDescriptor`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearOrderBy()

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 descending.
"posting_update_time desc": By Job.posting_update_time descending.
"title": By Job.title ascending.
"title desc": By Job.title descending.
"annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
Location sorting: Use the special syntax to order jobs by distance: "distance_from('Hawaii')": Order by distance from Hawaii. "distance_from(19.89, 155.5)": Order by distance from a coordinate. "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below. "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below. 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.

string order_by = 12;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearPageToken()

public SearchJobsRequest.Builder clearPageToken()

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearParent()

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) = { ... }

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clearRequestMetadata()

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];

Returns

Type	Description
SearchJobsRequest.Builder

clearSearchMode()

public SearchJobsRequest.Builder clearSearchMode()

Mode of a search. Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

clone()

public SearchJobsRequest.Builder clone()

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getCustomRankingInfo()

public 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;

Returns

Type	Description
SearchJobsRequest.CustomRankingInfo	The customRankingInfo.

getCustomRankingInfoBuilder()

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;

Returns

Type	Description
SearchJobsRequest.CustomRankingInfo.Builder

getCustomRankingInfoOrBuilder()

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;

Returns

Type	Description
SearchJobsRequest.CustomRankingInfoOrBuilder

getDefaultInstanceForType()

public SearchJobsRequest getDefaultInstanceForType()

Returns

Type	Description
SearchJobsRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisableKeywordMatch()

public boolean getDisableKeywordMatch()

bool disable_keyword_match = 16 [deprecated = true];

Returns

Type	Description
boolean	The disableKeywordMatch.

getDiversificationLevel()

public SearchJobsRequest.DiversificationLevel getDiversificationLevel()

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Returns

Type	Description
SearchJobsRequest.DiversificationLevel	The diversificationLevel.

getDiversificationLevelValue()

public int getDiversificationLevelValue()

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Returns

Type	Description
int	The enum numeric value on the wire for diversificationLevel.

getEnableBroadening()

public 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;

Returns

Type	Description
boolean	The enableBroadening.

getHistogramQueries(int index)

public 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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
index	`int`

Returns

Type	Description
HistogramQuery

getHistogramQueriesBuilder(int index)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
index	`int`

Returns

Type	Description
HistogramQuery.Builder

getHistogramQueriesBuilderList()

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
List<Builder>

getHistogramQueriesCount()

public 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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
int

getHistogramQueriesList()

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
List<HistogramQuery>

getHistogramQueriesOrBuilder(int index)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
index	`int`

Returns

Type	Description
HistogramQueryOrBuilder

getHistogramQueriesOrBuilderList()

public 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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Returns

Type	Description
List<? extends com.google.cloud.talent.v4.HistogramQueryOrBuilder>

getJobQuery()

public JobQuery getJobQuery()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns

Type	Description
JobQuery	The jobQuery.

getJobQueryBuilder()

public JobQuery.Builder getJobQueryBuilder()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns

Type	Description
JobQuery.Builder

getJobQueryOrBuilder()

public JobQueryOrBuilder getJobQueryOrBuilder()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns

Type	Description
JobQueryOrBuilder

getJobView()

public JobView getJobView()

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Returns

Type	Description
JobView	The jobView.

getJobViewValue()

public int getJobViewValue()

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Returns

Type	Description
int	The enum numeric value on the wire for jobView.

getKeywordMatchMode()

public SearchJobsRequest.KeywordMatchMode getKeywordMatchMode()

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Returns

Type	Description
SearchJobsRequest.KeywordMatchMode	The keywordMatchMode.

getKeywordMatchModeValue()

public int getKeywordMatchModeValue()

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Returns

Type	Description
int	The enum numeric value on the wire for keywordMatchMode.

getMaxPageSize()

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;

Returns

Type	Description
int	The maxPageSize.

getOffset()

public int getOffset()

int32 offset = 9;

Returns

Type	Description
int	The offset.

getOrderBy()

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 descending.
"posting_update_time desc": By Job.posting_update_time descending.
"title": By Job.title ascending.
"title desc": By Job.title descending.
"annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
Location sorting: Use the special syntax to order jobs by distance: "distance_from('Hawaii')": Order by distance from Hawaii. "distance_from(19.89, 155.5)": Order by distance from a coordinate. "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below. "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below. 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.

string order_by = 12;

Returns

Type	Description
String	The orderBy.

getOrderByBytes()

public 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 descending.
"posting_update_time desc": By Job.posting_update_time descending.
"title": By Job.title ascending.
"title desc": By Job.title descending.
"annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
Location sorting: Use the special syntax to order jobs by distance: "distance_from('Hawaii')": Order by distance from Hawaii. "distance_from(19.89, 155.5)": Order by distance from a coordinate. "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below. "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below. 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.

string order_by = 12;

Returns

Type	Description
ByteString	The bytes for orderBy.

getPageToken()

public String getPageToken()

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Returns

Type	Description
String	The pageToken.

getPageTokenBytes()

public ByteString getPageTokenBytes()

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Returns

Type	Description
ByteString	The bytes for pageToken.

getParent()

public 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) = { ... }

Returns

Type	Description
String	The parent.

getParentBytes()

public 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) = { ... }

Returns

Type	Description
ByteString	The bytes for parent.

getRequestMetadata()

public RequestMetadata getRequestMetadata()

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
RequestMetadata	The requestMetadata.

getRequestMetadataBuilder()

public RequestMetadata.Builder getRequestMetadataBuilder()

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
RequestMetadata.Builder

getRequestMetadataOrBuilder()

public RequestMetadataOrBuilder getRequestMetadataOrBuilder()

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
RequestMetadataOrBuilder

getSearchMode()

public SearchJobsRequest.SearchMode getSearchMode()

Mode of a search. Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Returns

Type	Description
SearchJobsRequest.SearchMode	The searchMode.

getSearchModeValue()

public int getSearchModeValue()

Mode of a search. Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Returns

Type	Description
int	The enum numeric value on the wire for searchMode.

hasCustomRankingInfo()

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;

Returns

Type	Description
boolean	Whether the customRankingInfo field is set.

hasJobQuery()

public boolean hasJobQuery()

Query used to search against jobs, such as keyword, location filters, etc.

.google.cloud.talent.v4.JobQuery job_query = 4;

Returns

Type	Description
boolean	Whether the jobQuery field is set.

hasRequestMetadata()

public boolean hasRequestMetadata()

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
boolean	Whether the requestMetadata field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)

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;

Parameter

Name	Description
value	`SearchJobsRequest.CustomRankingInfo`

Returns

Type	Description
SearchJobsRequest.Builder

mergeFrom(SearchJobsRequest other)

public SearchJobsRequest.Builder mergeFrom(SearchJobsRequest other)

Parameter

Name	Description
other	`SearchJobsRequest`

Returns

Type	Description
SearchJobsRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public SearchJobsRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	`CodedInputStream`
extensionRegistry	`ExtensionRegistryLite`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public SearchJobsRequest.Builder mergeFrom(Message other)

Parameter

Name	Description
other	`Message`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeJobQuery(JobQuery value)

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;

Parameter

Name	Description
value	`JobQuery`

Returns

Type	Description
SearchJobsRequest.Builder

mergeRequestMetadata(RequestMetadata value)

public SearchJobsRequest.Builder mergeRequestMetadata(RequestMetadata value)

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
value	`RequestMetadata`

Returns

Type	Description
SearchJobsRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final SearchJobsRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	`UnknownFieldSet`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeHistogramQueries(int index)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameter

Name	Description
index	`int`

Returns

Type	Description
SearchJobsRequest.Builder

setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo value)

public 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;

Parameter

Name	Description
value	`SearchJobsRequest.CustomRankingInfo`

Returns

Type	Description
SearchJobsRequest.Builder

setCustomRankingInfo(SearchJobsRequest.CustomRankingInfo.Builder builderForValue)

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;

Parameter

Name	Description
builderForValue	`SearchJobsRequest.CustomRankingInfo.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

setDisableKeywordMatch(boolean value)

public SearchJobsRequest.Builder setDisableKeywordMatch(boolean value)

bool disable_keyword_match = 16 [deprecated = true];

Parameter

Name	Description
value	`boolean` The disableKeywordMatch to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)

public SearchJobsRequest.Builder setDiversificationLevel(SearchJobsRequest.DiversificationLevel value)

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Parameter

Name	Description
value	`SearchJobsRequest.DiversificationLevel` The diversificationLevel to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setDiversificationLevelValue(int value)

public SearchJobsRequest.Builder setDiversificationLevelValue(int value)

.google.cloud.talent.v4.SearchJobsRequest.DiversificationLevel diversification_level = 13;

Parameter

Name	Description
value	`int` The enum numeric value on the wire for diversificationLevel to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setEnableBroadening(boolean value)

public 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;

Parameter

Name	Description
value	`boolean` The enableBroadening to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public SearchJobsRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	`FieldDescriptor`
value	`Object`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setHistogramQueries(int index, HistogramQuery value)

public 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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameters

Name	Description
index	`int`
value	`HistogramQuery`

Returns

Type	Description
SearchJobsRequest.Builder

setHistogramQueries(int index, HistogramQuery.Builder builderForValue)

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+.
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.
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_day: histogram by the 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 in months. Must specify list of numeric buckets in spec.
publish_time_in_year: histogram by the Job.posting_publish_time in years. Must specify list of numeric buckets in spec.
degree_types: histogram by the Job.degree_types, 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 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. 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")])

repeated .google.cloud.talent.v4.HistogramQuery histogram_queries = 7;

Parameters

Name	Description
index	`int`
builderForValue	`HistogramQuery.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

setJobQuery(JobQuery value)

public 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;

Parameter

Name	Description
value	`JobQuery`

Returns

Type	Description
SearchJobsRequest.Builder

setJobQuery(JobQuery.Builder builderForValue)

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;

Parameter

Name	Description
builderForValue	`JobQuery.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

setJobView(JobView value)

public SearchJobsRequest.Builder setJobView(JobView value)

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Parameter

Name	Description
value	`JobView` The jobView to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setJobViewValue(int value)

public SearchJobsRequest.Builder setJobViewValue(int value)

The desired job attributes returned for jobs in the search response. Defaults to JobView.JOB_VIEW_SMALL if no value is specified.

.google.cloud.talent.v4.JobView job_view = 8;

Parameter

Name	Description
value	`int` The enum numeric value on the wire for jobView to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)

public SearchJobsRequest.Builder setKeywordMatchMode(SearchJobsRequest.KeywordMatchMode value)

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Parameter

Name	Description
value	`SearchJobsRequest.KeywordMatchMode` The keywordMatchMode to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setKeywordMatchModeValue(int value)

public SearchJobsRequest.Builder setKeywordMatchModeValue(int value)

.google.cloud.talent.v4.SearchJobsRequest.KeywordMatchMode keyword_match_mode = 18;

Parameter

Name	Description
value	`int` The enum numeric value on the wire for keywordMatchMode to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setMaxPageSize(int value)

public 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;

Parameter

Name	Description
value	`int` The maxPageSize to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setOffset(int value)

public SearchJobsRequest.Builder setOffset(int value)

int32 offset = 9;

Parameter

Name	Description
value	`int` The offset to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setOrderBy(String value)

public 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 descending.
"posting_update_time desc": By Job.posting_update_time descending.
"title": By Job.title ascending.
"title desc": By Job.title descending.
"annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
Location sorting: Use the special syntax to order jobs by distance: "distance_from('Hawaii')": Order by distance from Hawaii. "distance_from(19.89, 155.5)": Order by distance from a coordinate. "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below. "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below. 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.

string order_by = 12;

Parameter

Name	Description
value	`String` The orderBy to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setOrderByBytes(ByteString value)

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 descending.
"posting_update_time desc": By Job.posting_update_time descending.
"title": By Job.title ascending.
"title desc": By Job.title descending.
"annualized_base_compensation": By job's 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 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 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 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 with weight factor assigned by SearchJobsRequest.CustomRankingInfo.importance_level in descending order.
Location sorting: Use the special syntax to order jobs by distance: "distance_from('Hawaii')": Order by distance from Hawaii. "distance_from(19.89, 155.5)": Order by distance from a coordinate. "distance_from('Hawaii'), distance_from('Puerto Rico')": Order by multiple locations. See details below. "distance_from('Hawaii'), distance_from(19.89, 155.5)": Order by multiple locations. See details below. 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.

string order_by = 12;

Parameter

Name	Description
value	`ByteString` The bytes for orderBy to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setPageToken(String value)

public SearchJobsRequest.Builder setPageToken(String value)

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Parameter

Name	Description
value	`String` The pageToken to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setPageTokenBytes(ByteString value)

public SearchJobsRequest.Builder setPageTokenBytes(ByteString value)

The token specifying the current offset within search results. See SearchJobsResponse.next_page_token for an explanation of how to obtain the next set of query results.

string page_token = 11;

Parameter

Name	Description
value	`ByteString` The bytes for pageToken to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setParent(String value)

public 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) = { ... }

Parameter

Name	Description
value	`String` The parent to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setParentBytes(ByteString value)

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) = { ... }

Parameter

Name	Description
value	`ByteString` The bytes for parent to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public SearchJobsRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters

Name	Description
field	`FieldDescriptor`
index	`int`
value	`Object`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setRequestMetadata(RequestMetadata value)

public SearchJobsRequest.Builder setRequestMetadata(RequestMetadata value)

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
value	`RequestMetadata`

Returns

Type	Description
SearchJobsRequest.Builder

setRequestMetadata(RequestMetadata.Builder builderForValue)

public SearchJobsRequest.Builder setRequestMetadata(RequestMetadata.Builder builderForValue)

.google.cloud.talent.v4.RequestMetadata request_metadata = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
builderForValue	`RequestMetadata.Builder`

Returns

Type	Description
SearchJobsRequest.Builder

setSearchMode(SearchJobsRequest.SearchMode value)

public SearchJobsRequest.Builder setSearchMode(SearchJobsRequest.SearchMode value)

Mode of a search. Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Parameter

Name	Description
value	`SearchJobsRequest.SearchMode` The searchMode to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setSearchModeValue(int value)

public SearchJobsRequest.Builder setSearchModeValue(int value)

Mode of a search. Defaults to SearchMode.JOB_SEARCH.

.google.cloud.talent.v4.SearchJobsRequest.SearchMode search_mode = 2;

Parameter

Name	Description
value	`int` The enum numeric value on the wire for searchMode to set.

Returns

Type	Description
SearchJobsRequest.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final SearchJobsRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	`UnknownFieldSet`

Returns

Type	Description
SearchJobsRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)