com.google.cloud.talent.v4beta1

Interface SearchJobsRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

SearchJobsRequest, SearchJobsRequest.Builder

public interface SearchJobsRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
SearchJobsRequest.CustomRankingInfo	getCustomRankingInfo() Optional.
SearchJobsRequest.CustomRankingInfoOrBuilder	getCustomRankingInfoOrBuilder() Optional.
boolean	getDisableKeywordMatch() Optional.
SearchJobsRequest.DiversificationLevel	getDiversificationLevel() Optional.
int	getDiversificationLevelValue() Optional.
boolean	getEnableBroadening() Optional.
HistogramQuery	getHistogramQueries(int index) Optional.
int	getHistogramQueriesCount() Optional.
List<HistogramQuery>	getHistogramQueriesList() Optional.
HistogramQueryOrBuilder	getHistogramQueriesOrBuilder(int index) Optional.
List<? extends HistogramQueryOrBuilder>	getHistogramQueriesOrBuilderList() Optional.
JobQuery	getJobQuery() Optional.
JobQueryOrBuilder	getJobQueryOrBuilder() Optional.
JobView	getJobView() Optional.
int	getJobViewValue() Optional.
int	getOffset() Optional.
String	getOrderBy() Optional.
com.google.protobuf.ByteString	getOrderByBytes() Optional.
int	getPageSize() Optional.
String	getPageToken() Optional.
com.google.protobuf.ByteString	getPageTokenBytes() Optional.
String	getParent() Required.
com.google.protobuf.ByteString	getParentBytes() Required.
RequestMetadata	getRequestMetadata() Required.
RequestMetadataOrBuilder	getRequestMetadataOrBuilder() Required.
boolean	getRequirePreciseResultSize() Optional.
SearchJobsRequest.SearchMode	getSearchMode() Optional.
int	getSearchModeValue() Optional.
boolean	hasCustomRankingInfo() Optional.
boolean	hasJobQuery() Optional.
boolean	hasRequestMetadata() Required.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getParent

String getParent()

 Required. The resource name of the tenant to search within.
 The format is "projects/{project_id}/tenants/{tenant_id}", for example,
 "projects/api-test-project/tenant/foo".
 Tenant id is optional and the default tenant is used if unspecified, for
 example, "projects/api-test-project".
 

string parent = 1;

getParentBytes

com.google.protobuf.ByteString getParentBytes()

 Required. The resource name of the tenant to search within.
 The format is "projects/{project_id}/tenants/{tenant_id}", for example,
 "projects/api-test-project/tenant/foo".
 Tenant id is optional and the default tenant is used if unspecified, for
 example, "projects/api-test-project".
 

string parent = 1;

getSearchModeValue

int getSearchModeValue()

 Optional. Mode of a search.
 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
 

.google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;

getSearchMode

SearchJobsRequest.SearchMode getSearchMode()

 Optional. Mode of a search.
 Defaults to
 [SearchMode.JOB_SEARCH][google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode.JOB_SEARCH].
 

.google.cloud.talent.v4beta1.SearchJobsRequest.SearchMode search_mode = 2;

hasRequestMetadata

boolean hasRequestMetadata()

 Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
 

.google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3;

getRequestMetadata

RequestMetadata getRequestMetadata()

 Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
 

.google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3;

getRequestMetadataOrBuilder

RequestMetadataOrBuilder getRequestMetadataOrBuilder()

 Required. The meta information collected about the job searcher, used to
 improve the search quality of the service. The identifiers (such as
 `user_id`) are provided by users, and must be unique and consistent.
 

.google.cloud.talent.v4beta1.RequestMetadata request_metadata = 3;

hasJobQuery

boolean hasJobQuery()

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

.google.cloud.talent.v4beta1.JobQuery job_query = 4;

getJobQuery

JobQuery getJobQuery()

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

.google.cloud.talent.v4beta1.JobQuery job_query = 4;

getJobQueryOrBuilder

JobQueryOrBuilder getJobQueryOrBuilder()

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

.google.cloud.talent.v4beta1.JobQuery job_query = 4;

getEnableBroadening

boolean getEnableBroadening()

 Optional. 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;

getRequirePreciseResultSize

boolean getRequirePreciseResultSize()

 Optional. Controls if the search job request requires the return of a
 precise count of the first 300 results. Setting this to `true` ensures
 consistency in the number of results per page. Best practice is to set this
 value to true if a client allows users to jump directly to a
 non-sequential search results page.
 Enabling this flag may adversely impact performance.
 Defaults to false.
 

bool require_precise_result_size = 6;

getHistogramQueriesList

List<HistogramQuery> getHistogramQueriesList()

 Optional. 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.
 Data types:
 * Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9_]+.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].
 Built-in constants:
 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)
 Built-in functions:
 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).
 Job histogram facets:
 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
 for example,
   "FULL_TIME", "PART_TIME".
 * company_size: histogram by
 [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
 "SMALL", "MEDIUM", "BIG".
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in months.
   Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in years.
   Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
 example,
   "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
 "Entry
   Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
   placeholder referring to the state, province, or the particular term a
   country uses to define the geographic structure below the country level,
   for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
   example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
   for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
   and longitude), for example, 37.4038522,-122.0987765. Since the
   coordinates of a city center can change, customers may need to refresh
   them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
 example, "en-US",
   "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
   for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
   "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
   [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
   of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
   numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
   Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
   Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
   Values can be accessed via square bracket notations like
   string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4beta1.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.v4beta1.HistogramQuery histogram_queries = 7;

getHistogramQueries

HistogramQuery getHistogramQueries(int index)

 Optional. 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.
 Data types:
 * Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9_]+.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].
 Built-in constants:
 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)
 Built-in functions:
 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).
 Job histogram facets:
 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
 for example,
   "FULL_TIME", "PART_TIME".
 * company_size: histogram by
 [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
 "SMALL", "MEDIUM", "BIG".
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in months.
   Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in years.
   Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
 example,
   "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
 "Entry
   Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
   placeholder referring to the state, province, or the particular term a
   country uses to define the geographic structure below the country level,
   for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
   example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
   for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
   and longitude), for example, 37.4038522,-122.0987765. Since the
   coordinates of a city center can change, customers may need to refresh
   them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
 example, "en-US",
   "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
   for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
   "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
   [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
   of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
   numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
   Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
   Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
   Values can be accessed via square bracket notations like
   string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4beta1.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.v4beta1.HistogramQuery histogram_queries = 7;

getHistogramQueriesCount

int getHistogramQueriesCount()

 Optional. 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.
 Data types:
 * Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9_]+.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].
 Built-in constants:
 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)
 Built-in functions:
 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).
 Job histogram facets:
 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
 for example,
   "FULL_TIME", "PART_TIME".
 * company_size: histogram by
 [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
 "SMALL", "MEDIUM", "BIG".
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in months.
   Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in years.
   Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
 example,
   "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
 "Entry
   Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
   placeholder referring to the state, province, or the particular term a
   country uses to define the geographic structure below the country level,
   for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
   example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
   for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
   and longitude), for example, 37.4038522,-122.0987765. Since the
   coordinates of a city center can change, customers may need to refresh
   them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
 example, "en-US",
   "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
   for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
   "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
   [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
   of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
   numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
   Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
   Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
   Values can be accessed via square bracket notations like
   string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4beta1.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.v4beta1.HistogramQuery histogram_queries = 7;

getHistogramQueriesOrBuilderList

List<? extends HistogramQueryOrBuilder> getHistogramQueriesOrBuilderList()

 Optional. 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.
 Data types:
 * Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9_]+.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].
 Built-in constants:
 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)
 Built-in functions:
 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).
 Job histogram facets:
 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
 for example,
   "FULL_TIME", "PART_TIME".
 * company_size: histogram by
 [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
 "SMALL", "MEDIUM", "BIG".
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in months.
   Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in years.
   Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
 example,
   "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
 "Entry
   Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
   placeholder referring to the state, province, or the particular term a
   country uses to define the geographic structure below the country level,
   for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
   example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
   for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
   and longitude), for example, 37.4038522,-122.0987765. Since the
   coordinates of a city center can change, customers may need to refresh
   them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
 example, "en-US",
   "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
   for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
   "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
   [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
   of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
   numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
   Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
   Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
   Values can be accessed via square bracket notations like
   string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4beta1.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.v4beta1.HistogramQuery histogram_queries = 7;

getHistogramQueriesOrBuilder

HistogramQueryOrBuilder getHistogramQueriesOrBuilder(int index)

 Optional. 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.
 Data types:
 * Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9_]+.
 * String: string like "any string with backslash escape for quote(\")."
 * Number: whole number and floating point number like 10, -1 and -0.01.
 * List: list of elements with comma(,) separator surrounded by square
 brackets, for example, [1, 2, 3] and ["one", "two", "three"].
 Built-in constants:
 * MIN (minimum number similar to java Double.MIN_VALUE)
 * MAX (maximum number similar to java Double.MAX_VALUE)
 Built-in functions:
 * bucket(start, end[, label]): bucket built-in function creates a bucket
 with range of [start, end). Note that the end is exclusive, for example,
 bucket(1, MAX, "positive number") or bucket(1, 10).
 Job histogram facets:
 * company_display_name: histogram by
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name].
 * employment_type: histogram by
 [Job.employment_types][google.cloud.talent.v4beta1.Job.employment_types],
 for example,
   "FULL_TIME", "PART_TIME".
 * company_size: histogram by
 [CompanySize][google.cloud.talent.v4beta1.CompanySize], for example,
 "SMALL", "MEDIUM", "BIG".
 * publish_time_in_month: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in months.
   Must specify list of numeric buckets in spec.
 * publish_time_in_year: histogram by the
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   in years.
   Must specify list of numeric buckets in spec.
 * degree_types: histogram by the
 [Job.degree_types][google.cloud.talent.v4beta1.Job.degree_types], for
 example,
   "Bachelors", "Masters".
 * job_level: histogram by the
 [Job.job_level][google.cloud.talent.v4beta1.Job.job_level], for example,
 "Entry
   Level".
 * country: histogram by the country code of jobs, for example, "US", "FR".
 * admin1: histogram by the admin1 code of jobs, which is a global
   placeholder referring to the state, province, or the particular term a
   country uses to define the geographic structure below the country level,
   for example, "CA", "IL".
 * city: histogram by a combination of the "city name, admin1 code". For
   example,  "Mountain View, CA", "New York, NY".
 * admin1_country: histogram by a combination of the "admin1 code, country",
   for example, "CA, US", "IL, US".
 * city_coordinate: histogram by the city center's GPS coordinates (latitude
   and longitude), for example, 37.4038522,-122.0987765. Since the
   coordinates of a city center can change, customers may need to refresh
   them periodically.
 * locale: histogram by the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code], for
 example, "en-US",
   "fr-FR".
 * language: histogram by the language subtag of the
 [Job.language_code][google.cloud.talent.v4beta1.Job.language_code],
   for example, "en", "fr".
 * category: histogram by the
 [JobCategory][google.cloud.talent.v4beta1.JobCategory], for example,
   "COMPUTER_AND_IT", "HEALTHCARE".
 * base_compensation_unit: histogram by the
   [CompensationInfo.CompensationUnit][google.cloud.talent.v4beta1.CompensationInfo.CompensationUnit]
   of base salary, for example, "WEEKLY", "MONTHLY".
 * base_compensation: histogram by the base salary. Must specify list of
   numeric buckets to group results by.
 * annualized_base_compensation: histogram by the base annualized salary.
   Must specify list of numeric buckets to group results by.
 * annualized_total_compensation: histogram by the total annualized salary.
   Must specify list of numeric buckets to group results by.
 * string_custom_attribute: histogram by string
 [Job.custom_attributes][google.cloud.talent.v4beta1.Job.custom_attributes].
   Values can be accessed via square bracket notations like
   string_custom_attribute["key1"].
 * numeric_custom_attribute: histogram by numeric
 [Job.custom_attributes][google.cloud.talent.v4beta1.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.v4beta1.HistogramQuery histogram_queries = 7;

getJobViewValue

int getJobViewValue()

 Optional. The desired job attributes returned for jobs in the search
 response. Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
 if no value is specified.
 

.google.cloud.talent.v4beta1.JobView job_view = 8;

getJobView

JobView getJobView()

 Optional. The desired job attributes returned for jobs in the search
 response. Defaults to
 [JobView.JOB_VIEW_SMALL][google.cloud.talent.v4beta1.JobView.JOB_VIEW_SMALL]
 if no value is specified.
 

.google.cloud.talent.v4beta1.JobView job_view = 8;

getOffset

int getOffset()

 Optional. An integer that specifies the current offset (that is, starting
 result location, amongst the jobs deemed by the API as relevant) in search
 results. This field is only considered if
 [page_token][google.cloud.talent.v4beta1.SearchJobsRequest.page_token] is
 unset.
 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;

getPageSize

int getPageSize()

 Optional. 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 page_size = 10;

getPageToken

String getPageToken()

 Optional. The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
 

string page_token = 11;

getPageTokenBytes

com.google.protobuf.ByteString getPageTokenBytes()

 Optional. The token specifying the current offset within
 search results. See
 [SearchJobsResponse.next_page_token][google.cloud.talent.v4beta1.SearchJobsResponse.next_page_token]
 for an explanation of how to obtain the next set of query results.
 

string page_token = 11;

getOrderBy

String getOrderBy()

 Optional. The criteria determining how search results are sorted. Default
 is
 `"relevance desc"`.
 Supported options are:
 * `"relevance desc"`: By relevance descending, as determined by the API
   algorithms. Relevance thresholding of query results is only available
   with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
   descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
 ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
   [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
   ascending. Jobs whose annualized base compensation is unspecified are put
   at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
   [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
   descending. Jobs whose annualized base compensation is unspecified are
   put at the end of search results.
 * `"annualized_total_compensation"`: By job's
   [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
   ascending. Jobs whose annualized base compensation is unspecified are put
   at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
   [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
   descending. Jobs whose annualized base compensation is unspecified are
   put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
   [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
   with weight factor assigned by
   [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
   in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
   `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
   `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
   `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
   multiple locations. See details below.<br>
   `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
   multiple locations. See details below.<br>
   The string can have a maximum of 256 characters. When multiple distance
   centers are provided, a job that is close to any of the distance centers
   would have a high rank. When a job has multiple locations, the job
   location closest to one of the distance centers will be used. Jobs that
   don't have locations will be ranked at the bottom. Distance is calculated
   with a precision of 11.3 meters (37.4 feet). Diversification strategy is
   still applied unless explicitly disabled in
   [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
 

string order_by = 12;

getOrderByBytes

com.google.protobuf.ByteString getOrderByBytes()

 Optional. The criteria determining how search results are sorted. Default
 is
 `"relevance desc"`.
 Supported options are:
 * `"relevance desc"`: By relevance descending, as determined by the API
   algorithms. Relevance thresholding of query results is only available
   with this ordering.
 * `"posting_publish_time desc"`: By
 [Job.posting_publish_time][google.cloud.talent.v4beta1.Job.posting_publish_time]
   descending.
 * `"posting_update_time desc"`: By
 [Job.posting_update_time][google.cloud.talent.v4beta1.Job.posting_update_time]
   descending.
 * `"title"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
 ascending.
 * `"title desc"`: By [Job.title][google.cloud.talent.v4beta1.Job.title]
 descending.
 * `"annualized_base_compensation"`: By job's
   [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
   ascending. Jobs whose annualized base compensation is unspecified are put
   at the end of search results.
 * `"annualized_base_compensation desc"`: By job's
   [CompensationInfo.annualized_base_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_base_compensation_range]
   descending. Jobs whose annualized base compensation is unspecified are
   put at the end of search results.
 * `"annualized_total_compensation"`: By job's
   [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
   ascending. Jobs whose annualized base compensation is unspecified are put
   at the end of search results.
 * `"annualized_total_compensation desc"`: By job's
   [CompensationInfo.annualized_total_compensation_range][google.cloud.talent.v4beta1.CompensationInfo.annualized_total_compensation_range]
   descending. Jobs whose annualized base compensation is unspecified are
   put at the end of search results.
 * `"custom_ranking desc"`: By the relevance score adjusted to the
   [SearchJobsRequest.CustomRankingInfo.ranking_expression][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.ranking_expression]
   with weight factor assigned by
   [SearchJobsRequest.CustomRankingInfo.importance_level][google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo.importance_level]
   in descending order.
 * Location sorting: Use the special syntax to order jobs by distance:<br>
   `"distance_from('Hawaii')"`: Order by distance from Hawaii.<br>
   `"distance_from(19.89, 155.5)"`: Order by distance from a coordinate.<br>
   `"distance_from('Hawaii'), distance_from('Puerto Rico')"`: Order by
   multiple locations. See details below.<br>
   `"distance_from('Hawaii'), distance_from(19.89, 155.5)"`: Order by
   multiple locations. See details below.<br>
   The string can have a maximum of 256 characters. When multiple distance
   centers are provided, a job that is close to any of the distance centers
   would have a high rank. When a job has multiple locations, the job
   location closest to one of the distance centers will be used. Jobs that
   don't have locations will be ranked at the bottom. Distance is calculated
   with a precision of 11.3 meters (37.4 feet). Diversification strategy is
   still applied unless explicitly disabled in
   [diversification_level][google.cloud.talent.v4beta1.SearchJobsRequest.diversification_level].
 

string order_by = 12;

getDiversificationLevelValue

int getDiversificationLevelValue()

 Optional. Controls whether highly similar jobs are returned next to each
 other in the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.
 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
 

.google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;

getDiversificationLevel

SearchJobsRequest.DiversificationLevel getDiversificationLevel()

 Optional. Controls whether highly similar jobs are returned next to each
 other in the search results. Jobs are identified as highly similar based on
 their titles, job categories, and locations. Highly similar results are
 clustered so that only one representative job of the cluster is
 displayed to the job seeker higher up in the results, with the other jobs
 being displayed lower down in the results.
 Defaults to
 [DiversificationLevel.SIMPLE][google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel.SIMPLE]
 if no value is specified.
 

.google.cloud.talent.v4beta1.SearchJobsRequest.DiversificationLevel diversification_level = 13;

hasCustomRankingInfo

boolean hasCustomRankingInfo()

 Optional. Controls over how job documents get ranked on top of existing
 relevance score (determined by API algorithm).
 

.google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

getCustomRankingInfo

SearchJobsRequest.CustomRankingInfo getCustomRankingInfo()

 Optional. Controls over how job documents get ranked on top of existing
 relevance score (determined by API algorithm).
 

.google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

getCustomRankingInfoOrBuilder

SearchJobsRequest.CustomRankingInfoOrBuilder getCustomRankingInfoOrBuilder()

 Optional. Controls over how job documents get ranked on top of existing
 relevance score (determined by API algorithm).
 

.google.cloud.talent.v4beta1.SearchJobsRequest.CustomRankingInfo custom_ranking_info = 14;

getDisableKeywordMatch

boolean getDisableKeywordMatch()

 Optional. Controls whether to disable exact keyword match on
 [Job.title][google.cloud.talent.v4beta1.Job.title],
 [Job.description][google.cloud.talent.v4beta1.Job.description],
 [Job.company_display_name][google.cloud.talent.v4beta1.Job.company_display_name],
 [Job.addresses][google.cloud.talent.v4beta1.Job.addresses],
 [Job.qualifications][google.cloud.talent.v4beta1.Job.qualifications]. When
 disable keyword match is turned off, a keyword match returns jobs that do
 not match given category filters when there are matching keywords. For
 example, for the query "program manager," a result is returned even if the
 job posting has the title "software developer," which doesn't fall into
 "program manager" ontology, but does have "program manager" appearing in
 its description.
 For queries like "cloud" that don't contain title or
 location specific ontology, jobs with "cloud" keyword matches are returned
 regardless of this flag's value.
 Use
 [Company.keyword_searchable_job_custom_attributes][google.cloud.talent.v4beta1.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;