SEARCH_INDEX_OPTIONS view

The INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS view contains one row for each search index option in a dataset.

Required permissions

To see search index metadata, you need the bigquery.tables.get or bigquery.tables.list Identity and Access Management (IAM) permission on the table with the index. Each of the following predefined IAM roles includes at least one of these permissions:

  • roles/bigquery.admin
  • roles/bigquery.dataEditor
  • roles/bigquery.dataOwner
  • roles/bigquery.dataViewer
  • roles/bigquery.metadataViewer
  • roles/bigquery.user

For more information about BigQuery permissions, see Access control with IAM.

Schema

When you query the INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS view, the query results contain one row for each search index option in a dataset.

The INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS view has the following schema:

Column name Data type Value
index_catalog STRING The name of the project that contains the dataset.
index_schema STRING The name of the dataset that contains the index.
table_name STRING The name of the base table that the index is created on.
index_name STRING The name of the index.
option_name STRING The name of the option, which can be one of the following: analyzer, analyzer_options, or data_types (preview).
option_type STRING The type of the option.
option_value STRING The value of the option.

Scope and syntax

Queries against this view must have a dataset qualifier. The following table explains the region scope for this view:

View Name Resource scope Region scope
[PROJECT_ID.]DATASET_ID.INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS Dataset level Dataset location
Replace the following:

  • Optional: PROJECT_ID: the ID of your Google Cloud project. If not specified, the default project is used.

    Example

    -- Returns metadata for search index options in a single dataset.
SELECT * FROM myDataset.INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS;

    Example

    The following example creates three search index options for columns of table1 and then extracts those options from fields that are indexed:

    CREATE SEARCH INDEX myIndex ON `mydataset.table1` (ALL COLUMNS) OPTIONS (
  analyzer = 'LOG_ANALYZER',
  analyzer_options = '{ "delimiters" : [".", "-"] }',
  data_types = ['STRING', 'INT64', 'TIMESTAMP']
);

SELECT index_name, option_name, option_type, option_value
FROM mydataset.INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS
WHERE table_name='table1';

    The result is similar to the following:

    +------------+------------------+---------------+----------------------------------+
| index_name |  option_name     | option_type   | option_value                     |
+------------+------------------+---------------+----------------------------------+
| myIndex    | analyzer         | STRING        | LOG_ANALYZER                     |
| myIndex    | analyzer_options | STRING        | { "delimiters": [".", "-"] }     |
| myIndex    | data_types       | ARRAY<STRING> | ["STRING", "INT64", "TIMESTAMP"] |
+------------+------------------+---------------+----------------------------------+

    The following example creates one search index option for columns of table1 and then extracts those options from fields that are indexed. If an option doesn't exist, the default option is produced:

    CREATE SEARCH INDEX myIndex ON `mydataset.table1` (ALL COLUMNS) OPTIONS (
  analyzer = 'NO_OP_ANALYZER'
);

SELECT index_name, option_name, option_type, option_value
FROM mydataset.INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS
WHERE table_name='table1';

    The result is similar to the following:

    +------------+------------------+---------------+----------------+
| index_name |  option_name     | option_type   | option_value   |
+------------+------------------+---------------+----------------+
| myIndex    | analyzer         | STRING        | NO_OP_ANALYZER |
| myIndex    | data_types       | ARRAY<STRING> | ["STRING"]     |
+------------+------------------+---------------+----------------+

    The following example creates no search index options for columns of table1 and then extracts the default options from fields that are indexed:

    CREATE SEARCH INDEX myIndex ON `mydataset.table1` (ALL COLUMNS);

SELECT index_name, option_name, option_type, option_value
FROM mydataset.INFORMATION_SCHEMA.SEARCH_INDEX_OPTIONS
WHERE table_name='table1';

    The result is similar to the following:

    +------------+------------------+---------------+----------------+
| index_name |  option_name     | option_type   | option_value   |
+------------+------------------+---------------+----------------+
| myIndex    | analyzer         | STRING        | LOG_ANALYZER   |
| myIndex    | data_types       | ARRAY<STRING> | ["STRING"]     |
+------------+------------------+---------------+----------------+