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At this time, this PR edits would suggest that CREATE VECTOR INDEX is a BigQuery-specific syntax, but it is not, as it is supported also by:
Therefore, move the tests to sqlparser common and ensure that all dialects that support the syntax successfully parse it. It may be acceptable to maintainers that dialects that do not support the syntax also parse it given the current preference for permissive parsing. I suggest you also review the possible syntax variations that these other dialects may have on this syntax, so as to cover more of its variants completely.
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@LucaCappelletti94 - done, added tests demonstrating different syntaxes. Note - didn't implement full blown Oracle's one. |
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BigQuery can create a vector index for approximate nearest-neighbor search over
an embedding column:
CREATE [OR REPLACE] VECTOR INDEX [IF NOT EXISTS] <name>
ON <table>(<column>)
OPTIONS(index_type = 'IVF', distance_type = 'COSINE', ...)
`VECTOR` is not a keyword, so `parse_create` previously failed with
`Expected: an object type after CREATE, found: VECTOR`.
- Add `vector`, `or_replace` and `options` fields to `CreateIndex`. `VECTOR` is
a modifier on `CREATE INDEX` (like `EXTERNAL` on `CREATE TABLE`), so it reuses
the existing node rather than a new statement variant. `Display` renders
`CREATE [OR REPLACE ]VECTOR INDEX ...` plus a trailing `OPTIONS(...)`.
- Parse the form in `parse_create` via a small `parse_create_vector_index`
helper; the `OPTIONS(...)` clause reuses `parse_options` / `SqlOption`, so it
parses and renders the same way as `CREATE TABLE` / `CREATE VIEW` OPTIONS.
- Plain `CREATE INDEX` is unchanged (all three fields default to false/empty).
- New test `parse_bigquery_create_vector_index` in `tests/sqlparser_bigquery.rs`
verifies the round-trip and covers `OR REPLACE`, `IF NOT EXISTS`, multi-part
names and the OPTIONS-less form.
Docs: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_vector_index_statement
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Address review feedback that `CREATE VECTOR INDEX` is not BigQuery-specific (Oracle, SQL Server, MariaDB and TiDB also have it, hence Generic too). - Route the statement through `parse_create_index` instead of a separate BigQuery helper, so it inherits the standard index trailers (`USING`, `INCLUDE`, `WITH`, expression targets, index options) that cover the Oracle / SQL Server / TiDB variants, plus the BigQuery `OPTIONS(...)` clause. - Align `Display` order (OPTIONS after WITH) with parse order so `INCLUDE` + `OPTIONS` combinations round-trip. - Drop the BigQuery-specific doc-comment framing. - Move the test to `tests/sqlparser_common.rs` as `parse_create_vector_index`, running across all dialects and covering `OR REPLACE`, `IF NOT EXISTS`, schema-qualified names, `OPTIONS(...)`, the `INCLUDE` trailer, and an expression target. Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Extend the shared `CREATE VECTOR INDEX` parsing to the trailers used by the other dialects, and add per-dialect tests: - `STORING(...)` covering-column clause (BigQuery); new `storing` field on `CreateIndex`, rendered after `INCLUDE`. - Accept a `WITH (...)` options clause on a vector index in every dialect (SQL Server `WITH (METRIC = ..., TYPE = ..., MAXDOP = ...)`), not only the dialects that enable it for a plain `CREATE INDEX`. Tests: - `tests/sqlparser_common.rs` — the generic core plus the shared trailers (`INCLUDE`, `STORING`, `WITH`, `USING`, expression targets) across all dialects. - `tests/sqlparser_bigquery.rs` — `OPTIONS(...)` with index_type / distance_type / JSON tuning keys, and `STORING(...)`. - `tests/sqlparser_mssql.rs` — bracket-quoted names with `WITH (...)`. - `tests/sqlparser_mysql.rs` — TiDB's distance-function target with `USING`. - `tests/sqlparser_oracle.rs` — the core, an expression target and an `INCLUDE` list (Oracle's `ORGANIZATION` / `DISTANCE` / `WITH TARGET ACCURACY` / `PARAMETERS` clauses are not yet parsed). Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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CREATE VECTOR INDEX creates an index for approximate nearest-neighbor search over an embedding column. It is not specific to one dialect — BigQuery, Oracle, SQL Server, MariaDB and TiDB all have it (so the Generic dialect should too). VECTOR is not a keyword, so parse_create previously failed with Expected: an object type after CREATE, found: VECTOR.
The statement shares a common core across dialects and then diverges into dialect-specific trailers. It is parsed permissively for every dialect.
Common core
VECTOR is treated as a modifier on CREATE INDEX (like UNIQUE), reusing the existing CreateIndex node rather than a new statement variant. It is routed through parse_create_index, so it inherits the standard index trailers — USING <method>, INCLUDE (...), WITH (...), expression targets and index options.
Per-dialect forms
The two follow-up rows need dedicated grammar with real keyword-collision hazards — WITH TARGET ACCURACY overloads the same WITH keyword as SQL Server's WITH (...), and MariaDB's bare single-letter M collides with identifiers — so they are left out of this change.
Changes
Tests
All are round-trip (verified_stmt) tests.
Docs: BigQuery · Oracle · SQL Server · MariaDB · TiDB