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Vista VECTOR_INDEX_COLUMNS
La vista INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS contiene una fila para cada columna con indexación vectorial en cada tabla en un conjunto de datos.
Permisos necesarios
Para ver los metadatos del índice vectorial, necesitas el permiso bigquery.tables.get o bigquery.tables.list de Identity and Access Management (IAM) en la tabla con el índice. Cada una de los siguientes roles predefinidos de IAM incluye, al menos, uno de estos permisos:
Cuando consultas la vista INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS, los resultados de la consulta contienen una fila por cada columna indexada de cada tabla de un conjunto de datos.
La vista INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS tiene el siguiente esquema:
Nombre de la columna
Tipo de datos
Valor
index_catalog
STRING
El nombre del proyecto que contiene el conjunto de datos.
index_schema
STRING
Es el nombre del conjunto de datos que contiene el índice vectorial.
table_name
STRING
El nombre de la tabla en la que se crea el índice vectorial.
index_name
STRING
Es el nombre del índice vectorial.
index_column_name
STRING
El nombre de la columna indexada.
index_field_path
STRING
La ruta completa del campo indexado expandido, que comienza con el nombre de la columna. Los campos están separados por un punto.
Permiso y sintaxis
Las consultas realizadas a esta vista deben tener un calificador de conjunto de datos. En la siguiente tabla, se explica el permiso de la región para esta vista:
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-04 (UTC)"],[[["\u003cp\u003eThe \u003ccode\u003eINFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS\u003c/code\u003e view provides metadata about each vector-indexed column within a dataset, with one row per indexed column.\u003c/p\u003e\n"],["\u003cp\u003eAccessing vector index metadata requires specific IAM permissions, such as \u003ccode\u003ebigquery.tables.get\u003c/code\u003e or \u003ccode\u003ebigquery.tables.list\u003c/code\u003e, which are included in roles like \u003ccode\u003eroles/bigquery.admin\u003c/code\u003e, \u003ccode\u003eroles/bigquery.dataViewer\u003c/code\u003e, and others.\u003c/p\u003e\n"],["\u003cp\u003eQuery results from this view include details like \u003ccode\u003eindex_catalog\u003c/code\u003e, \u003ccode\u003eindex_schema\u003c/code\u003e, \u003ccode\u003etable_name\u003c/code\u003e, \u003ccode\u003eindex_name\u003c/code\u003e, \u003ccode\u003eindex_column_name\u003c/code\u003e, and \u003ccode\u003eindex_field_path\u003c/code\u003e, providing comprehensive information about the indexed columns.\u003c/p\u003e\n"],["\u003cp\u003eQueries against the \u003ccode\u003eVECTOR_INDEX_COLUMNS\u003c/code\u003e view must specify a dataset qualifier and must be executed within the same region as the \u003ccode\u003eINFORMATION_SCHEMA\u003c/code\u003e view.\u003c/p\u003e\n"],["\u003cp\u003eThe view is queried at a dataset level, with the syntax including optional \u003ccode\u003ePROJECT_ID\u003c/code\u003e and a required \u003ccode\u003eDATASET_ID\u003c/code\u003e, and can provide insights into indexed columns across multiple tables like in the example.\u003c/p\u003e\n"]]],[],null,["# VECTOR_INDEX_COLUMNS view\n=========================\n\nThe `INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS` view contains one row for each\nvector-indexed column on each table in a dataset.\n\nRequired permissions\n--------------------\n\nTo see [vector index](/bigquery/docs/vector-index) metadata, you need the\n`bigquery.tables.get` or `bigquery.tables.list` Identity and Access Management (IAM)\npermission on the table with the index. Each of the following predefined\nIAM roles includes at least one of these permissions:\n\n- `roles/bigquery.admin`\n- `roles/bigquery.dataEditor`\n- `roles/bigquery.dataOwner`\n- `roles/bigquery.dataViewer`\n- `roles/bigquery.metadataViewer`\n- `roles/bigquery.user`\n\nFor more information about BigQuery permissions, see\n[Access control with IAM](/bigquery/docs/access-control).\n\nSchema\n------\n\nWhen you query the `INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS` view, the query results contain one row for each indexed column on each table in a dataset.\n\n\u003cbr /\u003e\n\nThe `INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS` view has the following schema:\n\nScope and syntax\n----------------\n\nQueries against this view must have a [dataset qualifier](/bigquery/docs/information-schema-intro#syntax). The\nfollowing table explains the region scope for this view:\n\n\u003cbr /\u003e\n\nReplace the following:\n\n- Optional: \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the ID of your Google Cloud project. If not specified, the default project is used.\n- \u003cvar translate=\"no\"\u003eDATASET_ID\u003c/var\u003e: the ID of your dataset. For more information, see [Dataset qualifier](/bigquery/docs/information-schema-intro#dataset_qualifier).\n\n \u003cbr /\u003e\n\n \u003cbr /\u003e\n\n | **Note:** You must use [a region qualifier](/bigquery/docs/information-schema-intro#region_qualifier) to query `INFORMATION_SCHEMA` views. The location of the query execution must match the region of the `INFORMATION_SCHEMA` view.\n\n\u003cbr /\u003e\n\n**Example** \n\n -- Returns metadata for vector indexes in a single dataset.\n SELECT * FROM myDataset.INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS;\n\nExamples\n--------\n\nThe following query extracts information on columns that have vector indexes: \n\n```googlesql\nSELECT table_name, index_name, index_column_name, index_field_path\nFROM my_project.dataset.INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS;\n```\n\nThe result is similar to the following: \n\n```\n+------------+------------+-------------------+------------------+\n| table_name | index_name | index_column_name | index_field_path |\n+------------+------------+-------------------+------------------+\n| table1 | indexa | embeddings | embeddings |\n| table2 | indexb | vectors | vectors |\n| table3 | indexc | vectors | vectors |\n+------------+------------+-------------------+------------------+\n```"]]
