Interface SearchDocumentsRequestOrBuilder (0.9.0)

Query used to search against documents (keyword, filters, etc.).

.google.cloud.contentwarehouse.v1.DocumentQuery document_query = 4;

Query used to search against documents (keyword, filters, etc.).

.google.cloud.contentwarehouse.v1.DocumentQuery document_query = 4;

An expression specifying a histogram request against matching documents. Expression syntax is an aggregation function call with histogram facets and other options. The following aggregation functions are supported:

• count(string_histogram_facet): Count the number of matching entities for each distinct attribute value. Data types:
• Histogram facet (aka filterable properties): Facet names with format <schema id>.<facet>. Facets will have the format of: a-zA-Z. If the facet is a child facet, then the parent hierarchy needs to be specified separated by dots in the prefix after the schema id. Thus, the format for a multi- level facet is: <schema id>.<parent facet name>. <child facet name>. Example: schema123.root_parent_facet.middle_facet.child_facet
• DocumentSchemaId: (with no schema id prefix) to get histograms for each document type (returns the schema id path, e.g. projects/12345/locations/us-west/documentSchemas/abc123). Example expression:
• Document type counts: count('DocumentSchemaId')
• For schema id, abc123, get the counts for MORTGAGE_TYPE: count('abc123.MORTGAGE_TYPE')

repeated .google.cloud.contentwarehouse.v1.HistogramQuery histogram_queries = 9;

An expression specifying a histogram request against matching documents. Expression syntax is an aggregation function call with histogram facets and other options. The following aggregation functions are supported:

• count(string_histogram_facet): Count the number of matching entities for each distinct attribute value. Data types:
• Histogram facet (aka filterable properties): Facet names with format <schema id>.<facet>. Facets will have the format of: a-zA-Z. If the facet is a child facet, then the parent hierarchy needs to be specified separated by dots in the prefix after the schema id. Thus, the format for a multi- level facet is: <schema id>.<parent facet name>. <child facet name>. Example: schema123.root_parent_facet.middle_facet.child_facet
• DocumentSchemaId: (with no schema id prefix) to get histograms for each document type (returns the schema id path, e.g. projects/12345/locations/us-west/documentSchemas/abc123). Example expression:
• Document type counts: count('DocumentSchemaId')
• For schema id, abc123, get the counts for MORTGAGE_TYPE: count('abc123.MORTGAGE_TYPE')

repeated .google.cloud.contentwarehouse.v1.HistogramQuery histogram_queries = 9;

An expression specifying a histogram request against matching documents. Expression syntax is an aggregation function call with histogram facets and other options. The following aggregation functions are supported:

• count(string_histogram_facet): Count the number of matching entities for each distinct attribute value. Data types:
• Histogram facet (aka filterable properties): Facet names with format <schema id>.<facet>. Facets will have the format of: a-zA-Z. If the facet is a child facet, then the parent hierarchy needs to be specified separated by dots in the prefix after the schema id. Thus, the format for a multi- level facet is: <schema id>.<parent facet name>. <child facet name>. Example: schema123.root_parent_facet.middle_facet.child_facet
• DocumentSchemaId: (with no schema id prefix) to get histograms for each document type (returns the schema id path, e.g. projects/12345/locations/us-west/documentSchemas/abc123). Example expression:
• Document type counts: count('DocumentSchemaId')
• For schema id, abc123, get the counts for MORTGAGE_TYPE: count('abc123.MORTGAGE_TYPE')

repeated .google.cloud.contentwarehouse.v1.HistogramQuery histogram_queries = 9;

An expression specifying a histogram request against matching documents. Expression syntax is an aggregation function call with histogram facets and other options. The following aggregation functions are supported:

• count(string_histogram_facet): Count the number of matching entities for each distinct attribute value. Data types:
• Histogram facet (aka filterable properties): Facet names with format <schema id>.<facet>. Facets will have the format of: a-zA-Z. If the facet is a child facet, then the parent hierarchy needs to be specified separated by dots in the prefix after the schema id. Thus, the format for a multi- level facet is: <schema id>.<parent facet name>. <child facet name>. Example: schema123.root_parent_facet.middle_facet.child_facet
• DocumentSchemaId: (with no schema id prefix) to get histograms for each document type (returns the schema id path, e.g. projects/12345/locations/us-west/documentSchemas/abc123). Example expression:
• Document type counts: count('DocumentSchemaId')
• For schema id, abc123, get the counts for MORTGAGE_TYPE: count('abc123.MORTGAGE_TYPE')

repeated .google.cloud.contentwarehouse.v1.HistogramQuery histogram_queries = 9;

An expression specifying a histogram request against matching documents. Expression syntax is an aggregation function call with histogram facets and other options. The following aggregation functions are supported:

• count(string_histogram_facet): Count the number of matching entities for each distinct attribute value. Data types:
• Histogram facet (aka filterable properties): Facet names with format <schema id>.<facet>. Facets will have the format of: a-zA-Z. If the facet is a child facet, then the parent hierarchy needs to be specified separated by dots in the prefix after the schema id. Thus, the format for a multi- level facet is: <schema id>.<parent facet name>. <child facet name>. Example: schema123.root_parent_facet.middle_facet.child_facet
• DocumentSchemaId: (with no schema id prefix) to get histograms for each document type (returns the schema id path, e.g. projects/12345/locations/us-west/documentSchemas/abc123). Example expression:
• Document type counts: count('DocumentSchemaId')
• For schema id, abc123, get the counts for MORTGAGE_TYPE: count('abc123.MORTGAGE_TYPE')

repeated .google.cloud.contentwarehouse.v1.HistogramQuery histogram_queries = 9;

An integer that specifies the current offset (that is, starting result location, amongst the documents 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 document, and 10 means to return from the 11th document. This can be used for pagination, (for example, pageSize = 10 and offset = 10 means to return from the second page).

int32 offset = 5;

The criteria determining how search results are sorted. For non-empty query, default is "relevance desc". For empty query, default is "upload_date desc". Supported options are:

• "relevance desc": By relevance descending, as determined by the API algorithms.
• "upload_date desc": By upload date descending.
• "upload_date": By upload date ascending.
• "update_date desc": By last updated date descending.
• "update_date": By last updated date ascending.

string order_by = 8;

The criteria determining how search results are sorted. For non-empty query, default is "relevance desc". For empty query, default is "upload_date desc". Supported options are:

• "relevance desc": By relevance descending, as determined by the API algorithms.
• "upload_date desc": By upload date descending.
• "upload_date": By upload date ascending.
• "update_date desc": By last updated date descending.
• "update_date": By last updated date ascending.

string order_by = 8;

A limit on the number of documents 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 = 6;

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

string page_token = 7;

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

string page_token = 7;

Required. The parent, which owns this collection of documents. Format: projects/{project_number}/locations/{location}.

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Required. The parent, which owns this collection of documents. Format: projects/{project_number}/locations/{location}.

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Experimental, do not use. The limit on the number of documents returned for the question-answering feature. To enable the question-answering feature, set [DocumentQuery].[is_nl_query][] to true.

int32 qa_size_limit = 11;

The meta information collected about the end user, used to enforce access control and improve the search quality of the service.

.google.cloud.contentwarehouse.v1.RequestMetadata request_metadata = 3;

The meta information collected about the end user, used to enforce access control and improve the search quality of the service.

.google.cloud.contentwarehouse.v1.RequestMetadata request_metadata = 3;

Optional. Controls if the search document request requires the return of a total size of matched documents. See SearchDocumentsResponse.total_size. Enabling this flag may adversely impact performance. Hint: If this is used with pagination, set this flag on the initial query but set this to false on subsequent page calls (keep the total count locally). Defaults to false.

bool require_total_size = 10;

Query used to search against documents (keyword, filters, etc.).

.google.cloud.contentwarehouse.v1.DocumentQuery document_query = 4;

The meta information collected about the end user, used to enforce access control and improve the search quality of the service.

.google.cloud.contentwarehouse.v1.RequestMetadata request_metadata = 3;