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Tampilan VECTOR_INDEX_OPTIONS
Tampilan INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS berisi satu baris untuk setiap opsi indeks vektor dalam set data.
Izin yang diperlukan
Untuk melihat metadata indeks vektor, Anda memerlukan izin Identity and Access Management (IAM) bigquery.tables.get atau bigquery.tables.list pada tabel dengan indeks. Setiap peran IAM yang telah ditetapkan berikut menyertakan setidaknya salah satu izin ini:
Saat Anda membuat kueri tampilan INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS, hasil kueri akan berisi satu baris untuk setiap opsi indeks vektor dalam set data
Tampilan INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS memiliki skema berikut:
Nama kolom
Jenis data
Nilai
index_catalog
STRING
Nama project yang berisi set data.
index_schema
STRING
Nama set data yang berisi indeks vektor.
table_name
STRING
Nama tabel tempat indeks vektor dibuat.
index_name
STRING
Nama indeks vektor.
option_name
STRING
Nama opsi yang digunakan dalam pernyataan bahasa definisi data (DDL) untuk membuat indeks vektor.
option_type
STRING
Jenis data opsi.
option_value
STRING
Nilai opsi.
Cakupan dan sintaksis
Kueri terhadap tampilan ini harus memiliki penentu set data. Tabel
berikut menjelaskan cakupan wilayah untuk tampilan ini:
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-17 UTC."],[[["\u003cp\u003eThe \u003ccode\u003eINFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS\u003c/code\u003e view provides metadata for each vector-indexed column within a dataset's tables, with each row corresponding to a single vector index.\u003c/p\u003e\n"],["\u003cp\u003eAccessing this vector index metadata requires \u003ccode\u003ebigquery.tables.get\u003c/code\u003e or \u003ccode\u003ebigquery.tables.list\u003c/code\u003e IAM permissions on the table, permissions that are included in predefined roles such as \u003ccode\u003eroles/bigquery.admin\u003c/code\u003e, \u003ccode\u003eroles/bigquery.dataEditor\u003c/code\u003e, and others.\u003c/p\u003e\n"],["\u003cp\u003eQueries against the \u003ccode\u003eINFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS\u003c/code\u003e view need a dataset qualifier and must be executed in the same region as the \u003ccode\u003eINFORMATION_SCHEMA\u003c/code\u003e view.\u003c/p\u003e\n"],["\u003cp\u003eThe view's schema includes 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\u003eoption_name\u003c/code\u003e, \u003ccode\u003eoption_type\u003c/code\u003e, and \u003ccode\u003eoption_value\u003c/code\u003e, providing a structured breakdown of vector index configurations.\u003c/p\u003e\n"],["\u003cp\u003eAn example query is given to show how to obtain information on vector index options, using columns table_name, index_name, option_name, option_type, and option_value, from the view.\u003c/p\u003e\n"]]],[],null,["# VECTOR_INDEX_OPTIONS view\n=========================\n\nThe `INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS` view contains one row for each vector index option 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_OPTIONS` view, the query results contain one row for each vector index option in a dataset\n\n\u003cbr /\u003e\n\nThe `INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS` 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_OPTIONS;\n\nExamples\n--------\n\nThe following query extracts information on vector index options: \n\n```googlesql\nSELECT table_name, index_name, option_name, option_type, option_value\nFROM my_project.dataset.INFORMATION_SCHEMA.VECTOR_INDEX_OPTIONS;\n```\n\nThe result is similar to the following: \n\n```\n+------------+------------+------------------+------------------+-------------------------------------------------------------------+\n| table_name | index_name | option_name | option_type | option_value |\n+------------+------------+------------------+------------------+-------------------------------------------------------------------+\n| table1 | indexa | index_type | STRING | IVF |\n| table1 | indexa | distance_type | STRING | EUCLIDEAN |\n| table1 | indexa | ivf_options | STRING | {\"num_lists\": 100} |\n| table2 | indexb | index_type | STRING | IVF |\n| table2 | indexb | distance_type | STRING | COSINE |\n| table2 | indexb | ivf_options | STRING | {\"num_lists\": 500} |\n| table3 | indexc | index_type | STRING | TREE_AH |\n| table3 | indexc | distance_type | STRING | DOT_PRODUCT |\n| table3 | indexc | tree_ah_options | STRING | {\"leaf_node_embedding_count\": 1000, \"normalization_type\": \"NONE\"} |\n+------------+------------+------------------+------------------+-------------------------------------------------------------------+\n```"]]
