Close httplib2 connections.
list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
Lists the RecentQueries that were created by the user making the request.
Retrieves the next page of results.
close()
Close httplib2 connections.
list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
Lists the RecentQueries that were created by the user making the request.
Args:
parent: string, Required. The resource to which the listed queries belong. "projects/[PROJECT_ID]/locations/[LOCATION_ID]" "organizations/[ORGANIZATION_ID]/locations/[LOCATION_ID]" "billingAccounts/[BILLING_ACCOUNT_ID]/locations/[LOCATION_ID]" "folders/[FOLDER_ID]/locations/[LOCATION_ID]" For example:projects/my-project/locations/us-central1Note: The location portion of the resource must be specified, but supplying the character - in place of LOCATION_ID will return all recent queries. (required)
filter: string, Optional. Specifies the type ("Logging" or "OpsAnalytics") of the recent queries to list. The only valid value for this field is one of the two allowable type function calls, which are the following: type("Logging") type("OpsAnalytics")
pageSize: integer, Optional. The maximum number of results to return from this request. Non-positive values are ignored. The presence of nextPageToken in the response indicates that more results might be available.
pageToken: string, Optional. If present, then retrieve the next batch of results from the preceding call to this method. pageToken must be the value of nextPageToken from the previous response. The values of other method parameters should be identical to those in the previous call.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # The response from ListRecentQueries.
"nextPageToken": "A String", # If there might be more results than appear in this response, then nextPageToken is included. To get the next set of results, call the same method again using the value of nextPageToken as pageToken.
"recentQueries": [ # A list of recent queries.
{ # Describes a recent query executed on the Logs Explorer or Log Analytics page within the last ~ 30 days.
"lastRunTime": "A String", # Output only. The timestamp when this query was last run.
"loggingQuery": { # Describes a Cloud Logging query that can be run in Logs Explorer UI or via the logging API.In addition to the query itself, additional information may be stored to capture the display configuration and other UI state used in association with analysis of query results. # Logging query that can be executed in Logs Explorer or via Logging API.
"filter": "A String", # Required. An advanced query using the Logging Query Language (https://docs.cloud.google.com/logging/docs/view/logging-query-language). The maximum length of the filter is 20000 characters.
"summaryFieldEnd": 42, # Characters will be counted from the end of the string.
"summaryFieldStart": 42, # Characters will be counted from the start of the string.
"summaryFields": [ # Optional. The set of summary fields to display for this saved query.
{ # A field from the LogEntry that is added to the summary line (https://docs.cloud.google.com/logging/docs/view/logs-explorer-interface#preferences) for a query in the Logs Explorer.
"field": "A String", # Optional. The field from the LogEntry to include in the summary line, for example resource.type or jsonPayload.name.
},
],
},
"name": "A String", # Output only. Resource name of the recent query.In the format: "projects/[PROJECT_ID]/locations/[LOCATION_ID]/recentQueries/[QUERY_ID]" For a list of supported locations, see Supported Regions (https://docs.cloud.google.com/logging/docs/region-support)The QUERY_ID is a system generated alphanumeric ID.
"opsAnalyticsQuery": { # Describes a query that can be run in Log Analytics. # Analytics query that can be executed in Log Analytics.
"queryBuilder": { # Defines a structured query configuration that can be used instead of writing raw SQL. This configuration represents the components of a SQL query (FROM, SELECT, WHERE, ORDER BY, LIMIT) and is typically converted into an executable query (e.g., BigQuery SQL) by the backend service to retrieve data for analysis or visualization. # Optional. A query builder configuration used in Log Analytics.If both query_builder and sql_query_text fields are set, then the sql_query_text will be used, if its non-empty. At least one of the two fields must be set.
"fieldSources": [ # Defines the items to include in the query result, analogous to a SQL SELECT clause.
{ # A source that can be used to represent a field within various parts of a structured query, such as in SELECT, WHERE, or ORDER BY clauses.
"aliasRef": "A String", # The alias name for a field that has already been aliased within a different ProjectedField type elsewhere in the query model. The alias must be defined in the QueryBuilderConfig's field_sources list, otherwise the model is invalid.
"columnType": "A String", # The type of the selected field. This comes from the schema. Can be one of the BigQuery data types: - STRING - INT64 - FLOAT64 - BOOL - TIMESTAMP - DATE - RECORD - JSON
"field": "A String", # The fully qualified, dot-delimited path to the selected atomic field (the leaf value). This path is used for primary selection and actions like drill-down or projection.The path components should match the exact field names or keys as they appear in the underlying data schema. For JSON fields, this means respecting the original casing (e.g., camelCase or snake_case as present in the JSON).To reference field names containing special characters (e.g., hyphens, spaces), enclose the individual path segment in backticks (`).Examples: * json_payload.labels.message * json_payload.request_id * httpRequest.status * json_payload.\my-custom-field`.value *jsonPayload.`my key with spaces`.data`
"isJson": True or False, # Whether the field is a JSON field, or has a parent that is a JSON field. This value is used to determine JSON extractions in generated SQL queries. Note that this is_json flag may be true when the column_type is not JSON if the parent is a JSON field. Ex: - A json_payload.message field might have is_json=true, since the 'json_payload' parent is of type JSON, and columnType='STRING' if the 'message' field is of type STRING.
"parentPath": "A String", # The dot-delimited path of the parent container that holds the target field.This path defines the structural hierarchy and is essential for correctly generating SQL when field keys contain special characters (e.g., dots or brackets).Example: json_payload.labels (This points to the 'labels' object). This is an empty string if the target field is at the root level.
"projectedField": { # Represents a field selected in the query, analogous to an item in a SQL SELECT clause. It specifies the source field and optionally applies transformations like aggregation, casting, regex extraction, or assigns an alias. Use ProjectedField when you need more than just the raw source field name (for which you might use FieldSource directly in QueryBuilderConfig's field_sources list if no transformations or specific operation type are needed). # A projected field option for when a user wants to use a field with some additional transformations such as casting or extractions.
"alias": "A String", # The alias name for the field. Valid alias examples are: - single word alias: TestAlias - numbers in an alias: Alias123 - multi word alias should be enclosed in quotes: "Test Alias" Invalid alias examples are: - alias containing keywords: WHERE, SELECT, FROM, etc. - alias starting with a number: 1stAlias
"cast": "A String", # The cast for the field. This can any SQL cast type. Examples: - STRING - CHAR - DATE - TIMESTAMP - DATETIME - INT - FLOAT
"field": "A String", # The field name. This will be the field that is selected using the dot notation to display the drill down value.
"operation": "A String", # Specifies the role of this field (direct selection, grouping, or aggregation).
"regexExtraction": "A String", # The re2 extraction for the field. This will be used to extract the value from the field using REGEXP_EXTRACT. More information on re2 can be found here: https://github.com/google/re2/wiki/Syntax. Meta characters like +?()| will need to be escaped. Examples: - ".(autoscaler.*)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(.*(autoscaler.*)$)")in SQL. - "\(test_value\)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(\(test_value\)$)") in SQL.
"sqlAggregationFunction": { # Defines the aggregation function to apply to this field. This message is used only when operation is set to AGGREGATE. # The function to apply to the field.
"parameters": [ # Optional. Parameters to be applied to the aggregation. Aggregations that support or require parameters are listed above.
"",
],
"type": "A String", # Required. Specifies the aggregation function. Use one of the following string identifiers: "average": Computes the average (AVG). Applies only to numeric values. "count": Counts the number of values (COUNT). "count-distinct": Counts the number of distinct values (COUNT DISTINCT). "count-distinct-approx": Approximates the count of distinct values (APPROX_COUNT_DISTINCT). "max": Finds the maximum value (MAX). Applies only to numeric values. "min": Finds the minimum value (MIN). Applies only to numeric values. "sum": Computes the sum (SUM). Applies only to numeric values.
},
"truncationGranularity": "A String", # The truncation granularity when grouping by a time/date field. This will be used to truncate the field to the granularity specified. This can be either a date or a time granularity found at https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_date and https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_time respectively.
},
},
],
"filter": { # A filter for a query. This equates to the WHERE clause in SQL. # The filter to use for the query. This equates to the WHERE clause in SQL.
"childPredicates": [ # The children of the filter predicate. This equates to the branches of the filter predicate that could contain further nested leaves.
# Object with schema name: FilterPredicate
],
"leafPredicate": { # This is a leaf of the FilterPredicate. Ex: { field: json_payload.message.error_code, filter_value: {numeric_value: 400}, comparator: EQUAL_TO} The field will be schema field that is selected using the . annotation to display the drill down value. The value will be the user inputted text that the filter is comparing against. # The leaves of the filter predicate. This equates to the last leaves of the filter predicate associated with an operator.
"comparator": "A String", # The comparison type to use for the filter.
"fieldSource": { # A source that can be used to represent a field within various parts of a structured query, such as in SELECT, WHERE, or ORDER BY clauses. # Can be one of the FieldSource types: field name, alias ref, variable ref, or a literal value.
"aliasRef": "A String", # The alias name for a field that has already been aliased within a different ProjectedField type elsewhere in the query model. The alias must be defined in the QueryBuilderConfig's field_sources list, otherwise the model is invalid.
"columnType": "A String", # The type of the selected field. This comes from the schema. Can be one of the BigQuery data types: - STRING - INT64 - FLOAT64 - BOOL - TIMESTAMP - DATE - RECORD - JSON
"field": "A String", # The fully qualified, dot-delimited path to the selected atomic field (the leaf value). This path is used for primary selection and actions like drill-down or projection.The path components should match the exact field names or keys as they appear in the underlying data schema. For JSON fields, this means respecting the original casing (e.g., camelCase or snake_case as present in the JSON).To reference field names containing special characters (e.g., hyphens, spaces), enclose the individual path segment in backticks (`).Examples: * json_payload.labels.message * json_payload.request_id * httpRequest.status * json_payload.\my-custom-field`.value *jsonPayload.`my key with spaces`.data`
"isJson": True or False, # Whether the field is a JSON field, or has a parent that is a JSON field. This value is used to determine JSON extractions in generated SQL queries. Note that this is_json flag may be true when the column_type is not JSON if the parent is a JSON field. Ex: - A json_payload.message field might have is_json=true, since the 'json_payload' parent is of type JSON, and columnType='STRING' if the 'message' field is of type STRING.
"parentPath": "A String", # The dot-delimited path of the parent container that holds the target field.This path defines the structural hierarchy and is essential for correctly generating SQL when field keys contain special characters (e.g., dots or brackets).Example: json_payload.labels (This points to the 'labels' object). This is an empty string if the target field is at the root level.
"projectedField": { # Represents a field selected in the query, analogous to an item in a SQL SELECT clause. It specifies the source field and optionally applies transformations like aggregation, casting, regex extraction, or assigns an alias. Use ProjectedField when you need more than just the raw source field name (for which you might use FieldSource directly in QueryBuilderConfig's field_sources list if no transformations or specific operation type are needed). # A projected field option for when a user wants to use a field with some additional transformations such as casting or extractions.
"alias": "A String", # The alias name for the field. Valid alias examples are: - single word alias: TestAlias - numbers in an alias: Alias123 - multi word alias should be enclosed in quotes: "Test Alias" Invalid alias examples are: - alias containing keywords: WHERE, SELECT, FROM, etc. - alias starting with a number: 1stAlias
"cast": "A String", # The cast for the field. This can any SQL cast type. Examples: - STRING - CHAR - DATE - TIMESTAMP - DATETIME - INT - FLOAT
"field": "A String", # The field name. This will be the field that is selected using the dot notation to display the drill down value.
"operation": "A String", # Specifies the role of this field (direct selection, grouping, or aggregation).
"regexExtraction": "A String", # The re2 extraction for the field. This will be used to extract the value from the field using REGEXP_EXTRACT. More information on re2 can be found here: https://github.com/google/re2/wiki/Syntax. Meta characters like +?()| will need to be escaped. Examples: - ".(autoscaler.*)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(.*(autoscaler.*)$)")in SQL. - "\(test_value\)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(\(test_value\)$)") in SQL.
"sqlAggregationFunction": { # Defines the aggregation function to apply to this field. This message is used only when operation is set to AGGREGATE. # The function to apply to the field.
"parameters": [ # Optional. Parameters to be applied to the aggregation. Aggregations that support or require parameters are listed above.
"",
],
"type": "A String", # Required. Specifies the aggregation function. Use one of the following string identifiers: "average": Computes the average (AVG). Applies only to numeric values. "count": Counts the number of values (COUNT). "count-distinct": Counts the number of distinct values (COUNT DISTINCT). "count-distinct-approx": Approximates the count of distinct values (APPROX_COUNT_DISTINCT). "max": Finds the maximum value (MAX). Applies only to numeric values. "min": Finds the minimum value (MIN). Applies only to numeric values. "sum": Computes the sum (SUM). Applies only to numeric values.
},
"truncationGranularity": "A String", # The truncation granularity when grouping by a time/date field. This will be used to truncate the field to the granularity specified. This can be either a date or a time granularity found at https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_date and https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_time respectively.
},
},
"fieldSourceValue": { # A source that can be used to represent a field within various parts of a structured query, such as in SELECT, WHERE, or ORDER BY clauses. # The field. This will be the field that is set as the Right Hand Side of the filter.
"aliasRef": "A String", # The alias name for a field that has already been aliased within a different ProjectedField type elsewhere in the query model. The alias must be defined in the QueryBuilderConfig's field_sources list, otherwise the model is invalid.
"columnType": "A String", # The type of the selected field. This comes from the schema. Can be one of the BigQuery data types: - STRING - INT64 - FLOAT64 - BOOL - TIMESTAMP - DATE - RECORD - JSON
"field": "A String", # The fully qualified, dot-delimited path to the selected atomic field (the leaf value). This path is used for primary selection and actions like drill-down or projection.The path components should match the exact field names or keys as they appear in the underlying data schema. For JSON fields, this means respecting the original casing (e.g., camelCase or snake_case as present in the JSON).To reference field names containing special characters (e.g., hyphens, spaces), enclose the individual path segment in backticks (`).Examples: * json_payload.labels.message * json_payload.request_id * httpRequest.status * json_payload.\my-custom-field`.value *jsonPayload.`my key with spaces`.data`
"isJson": True or False, # Whether the field is a JSON field, or has a parent that is a JSON field. This value is used to determine JSON extractions in generated SQL queries. Note that this is_json flag may be true when the column_type is not JSON if the parent is a JSON field. Ex: - A json_payload.message field might have is_json=true, since the 'json_payload' parent is of type JSON, and columnType='STRING' if the 'message' field is of type STRING.
"parentPath": "A String", # The dot-delimited path of the parent container that holds the target field.This path defines the structural hierarchy and is essential for correctly generating SQL when field keys contain special characters (e.g., dots or brackets).Example: json_payload.labels (This points to the 'labels' object). This is an empty string if the target field is at the root level.
"projectedField": { # Represents a field selected in the query, analogous to an item in a SQL SELECT clause. It specifies the source field and optionally applies transformations like aggregation, casting, regex extraction, or assigns an alias. Use ProjectedField when you need more than just the raw source field name (for which you might use FieldSource directly in QueryBuilderConfig's field_sources list if no transformations or specific operation type are needed). # A projected field option for when a user wants to use a field with some additional transformations such as casting or extractions.
"alias": "A String", # The alias name for the field. Valid alias examples are: - single word alias: TestAlias - numbers in an alias: Alias123 - multi word alias should be enclosed in quotes: "Test Alias" Invalid alias examples are: - alias containing keywords: WHERE, SELECT, FROM, etc. - alias starting with a number: 1stAlias
"cast": "A String", # The cast for the field. This can any SQL cast type. Examples: - STRING - CHAR - DATE - TIMESTAMP - DATETIME - INT - FLOAT
"field": "A String", # The field name. This will be the field that is selected using the dot notation to display the drill down value.
"operation": "A String", # Specifies the role of this field (direct selection, grouping, or aggregation).
"regexExtraction": "A String", # The re2 extraction for the field. This will be used to extract the value from the field using REGEXP_EXTRACT. More information on re2 can be found here: https://github.com/google/re2/wiki/Syntax. Meta characters like +?()| will need to be escaped. Examples: - ".(autoscaler.*)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(.*(autoscaler.*)$)")in SQL. - "\(test_value\)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(\(test_value\)$)") in SQL.
"sqlAggregationFunction": { # Defines the aggregation function to apply to this field. This message is used only when operation is set to AGGREGATE. # The function to apply to the field.
"parameters": [ # Optional. Parameters to be applied to the aggregation. Aggregations that support or require parameters are listed above.
"",
],
"type": "A String", # Required. Specifies the aggregation function. Use one of the following string identifiers: "average": Computes the average (AVG). Applies only to numeric values. "count": Counts the number of values (COUNT). "count-distinct": Counts the number of distinct values (COUNT DISTINCT). "count-distinct-approx": Approximates the count of distinct values (APPROX_COUNT_DISTINCT). "max": Finds the maximum value (MAX). Applies only to numeric values. "min": Finds the minimum value (MIN). Applies only to numeric values. "sum": Computes the sum (SUM). Applies only to numeric values.
},
"truncationGranularity": "A String", # The truncation granularity when grouping by a time/date field. This will be used to truncate the field to the granularity specified. This can be either a date or a time granularity found at https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_date and https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_time respectively.
},
},
"isNegation": True or False, # Determines if the NOT flag should be added to the comparator.
"literalValue": "", # The Value will be used to hold user defined constants set as the Right Hand Side of the filter.
},
"operatorType": "A String", # The operator type for the filter. Currently there is no support for multiple levels of nesting, so this will be a single value with no joining of different operator types
},
"limit": "A String", # The limit to use for the query. This equates to the LIMIT clause in SQL. A limit of 0 will be treated as not enabled.
"orderBys": [ # The sort orders to use for the query. This equates to the ORDER BY clause in SQL.
{ # A sort order for a query based on a column.
"fieldSource": { # A source that can be used to represent a field within various parts of a structured query, such as in SELECT, WHERE, or ORDER BY clauses. # The field to sort on. Can be one of the FieldSource types: field name, alias ref, variable ref, or a literal value.
"aliasRef": "A String", # The alias name for a field that has already been aliased within a different ProjectedField type elsewhere in the query model. The alias must be defined in the QueryBuilderConfig's field_sources list, otherwise the model is invalid.
"columnType": "A String", # The type of the selected field. This comes from the schema. Can be one of the BigQuery data types: - STRING - INT64 - FLOAT64 - BOOL - TIMESTAMP - DATE - RECORD - JSON
"field": "A String", # The fully qualified, dot-delimited path to the selected atomic field (the leaf value). This path is used for primary selection and actions like drill-down or projection.The path components should match the exact field names or keys as they appear in the underlying data schema. For JSON fields, this means respecting the original casing (e.g., camelCase or snake_case as present in the JSON).To reference field names containing special characters (e.g., hyphens, spaces), enclose the individual path segment in backticks (`).Examples: * json_payload.labels.message * json_payload.request_id * httpRequest.status * json_payload.\my-custom-field`.value *jsonPayload.`my key with spaces`.data`
"isJson": True or False, # Whether the field is a JSON field, or has a parent that is a JSON field. This value is used to determine JSON extractions in generated SQL queries. Note that this is_json flag may be true when the column_type is not JSON if the parent is a JSON field. Ex: - A json_payload.message field might have is_json=true, since the 'json_payload' parent is of type JSON, and columnType='STRING' if the 'message' field is of type STRING.
"parentPath": "A String", # The dot-delimited path of the parent container that holds the target field.This path defines the structural hierarchy and is essential for correctly generating SQL when field keys contain special characters (e.g., dots or brackets).Example: json_payload.labels (This points to the 'labels' object). This is an empty string if the target field is at the root level.
"projectedField": { # Represents a field selected in the query, analogous to an item in a SQL SELECT clause. It specifies the source field and optionally applies transformations like aggregation, casting, regex extraction, or assigns an alias. Use ProjectedField when you need more than just the raw source field name (for which you might use FieldSource directly in QueryBuilderConfig's field_sources list if no transformations or specific operation type are needed). # A projected field option for when a user wants to use a field with some additional transformations such as casting or extractions.
"alias": "A String", # The alias name for the field. Valid alias examples are: - single word alias: TestAlias - numbers in an alias: Alias123 - multi word alias should be enclosed in quotes: "Test Alias" Invalid alias examples are: - alias containing keywords: WHERE, SELECT, FROM, etc. - alias starting with a number: 1stAlias
"cast": "A String", # The cast for the field. This can any SQL cast type. Examples: - STRING - CHAR - DATE - TIMESTAMP - DATETIME - INT - FLOAT
"field": "A String", # The field name. This will be the field that is selected using the dot notation to display the drill down value.
"operation": "A String", # Specifies the role of this field (direct selection, grouping, or aggregation).
"regexExtraction": "A String", # The re2 extraction for the field. This will be used to extract the value from the field using REGEXP_EXTRACT. More information on re2 can be found here: https://github.com/google/re2/wiki/Syntax. Meta characters like +?()| will need to be escaped. Examples: - ".(autoscaler.*)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(.*(autoscaler.*)$)")in SQL. - "\(test_value\)$" will be converted to REGEXP_EXTRACT(JSON_VALUE(field),"request(\(test_value\)$)") in SQL.
"sqlAggregationFunction": { # Defines the aggregation function to apply to this field. This message is used only when operation is set to AGGREGATE. # The function to apply to the field.
"parameters": [ # Optional. Parameters to be applied to the aggregation. Aggregations that support or require parameters are listed above.
"",
],
"type": "A String", # Required. Specifies the aggregation function. Use one of the following string identifiers: "average": Computes the average (AVG). Applies only to numeric values. "count": Counts the number of values (COUNT). "count-distinct": Counts the number of distinct values (COUNT DISTINCT). "count-distinct-approx": Approximates the count of distinct values (APPROX_COUNT_DISTINCT). "max": Finds the maximum value (MAX). Applies only to numeric values. "min": Finds the minimum value (MIN). Applies only to numeric values. "sum": Computes the sum (SUM). Applies only to numeric values.
},
"truncationGranularity": "A String", # The truncation granularity when grouping by a time/date field. This will be used to truncate the field to the granularity specified. This can be either a date or a time granularity found at https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_date and https://cloud.google.com/bigquery/docs/reference/standard-sql/timestamp_functions#timestamp_trunc_granularity_time respectively.
},
},
"sortOrderDirection": "A String", # The sort order to use for the query.
},
],
"resourceNames": [ # Required. The view/resource to query. For now only a single view/resource will be sent, but there are plans to allow multiple views in the future. Marking as repeated for that purpose. Example: - "projects/123/locations/global/buckets/456/views/_Default" - "projects/123/locations/global/metricBuckets/456/views/_Default"
"A String",
],
"searchTerm": "A String", # The plain text search to use for the query. There is no support for multiple search terms. This uses the SEARCH functionality in BigQuery. For example, a search_term = 'ERROR' would result in the following SQL:SELECT * FROM resource WHERE SEARCH(resource, 'ERROR') LIMIT 100
},
"sqlQueryText": "A String", # Optional. A Log Analytics SQL query in text format.If both sql_query_text and query_builder fields are set, then the sql_query_text will be used, if its non-empty. At least one of the two fields must be set.
},
},
],
"unreachable": [ # The unreachable resources. Each resource can be either 1) a saved query if a specific query is unreachable or 2) a location if a specific location is unreachable. "projects/[PROJECT_ID]/locations/[LOCATION_ID]/recentQueries/[QUERY_ID]" "projects/[PROJECT_ID]/locations/[LOCATION_ID]" For example:"projects/my-project/locations/global/recentQueries/12345678" "projects/my-project/locations/global"If there are unreachable resources, the response will first return pages that contain recent queries, and then return pages that contain the unreachable resources.
"A String",
],
}
list_next()
Retrieves the next page of results.
Args:
previous_request: The request for the previous page. (required)
previous_response: The response from the request for the previous page. (required)
Returns:
A request object that you can call 'execute()' on to request the next
page. Returns None if there are no more items in the collection.