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Visualização VECTOR_INDEX_COLUMNS
A visualização INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS contém uma linha para cada coluna indexada por vetor em cada tabela em um conjunto de dados.
Permissões necessárias
Para ver os metadados do índice vetorial, é preciso ter a permissão bigquery.tables.get ou bigquery.tables.list do Identity and Access Management (IAM) na tabela com o índice. Cada um dos seguintes papéis predefinidos
do IAM inclui pelo menos uma destas permissões:
Os resultados das consultas na visualização
INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS contêm uma linha para cada coluna indexada de cada tabela do conjunto de dados.
A visualização INFORMATION_SCHEMA.VECTOR_INDEX_COLUMNS tem o seguinte esquema:
Nome da coluna
Tipo de dados
Valor
index_catalog
STRING
Nome do projeto que contém o conjunto de dados.
index_schema
STRING
O nome do conjunto de dados que contém o índice vetorial.
table_name
STRING
O nome da tabela em que o índice vetorial é criado.
index_name
STRING
O nome do índice vetorial.
index_column_name
STRING
O nome da coluna indexada.
index_field_path
STRING
O caminho completo do campo indexado expandido, começando com o nome da
coluna. Os campos são separados por um ponto.
Escopo e sintaxe
As consultas nesta visualização precisam ter um qualificador de conjunto de dados. A
tabela a seguir explica o escopo da região dessa visualização:
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-17 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```"]]
