Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
1.2 KiB
Microsoft SQL Server (MSSQL)
Arguments use @P1, @P2, etc.
Name the parameters by adding comments before the statement:
-- @P1 name1 (varchar)
-- @P2 name2 (int) = 0
SELECT * FROM users WHERE name = @P1 AND age > @P2;
Receiving an S3Object as a script parameter
Declare the arg with type (s3object). Windmill renders an S3 file picker for
it, downloads the file, and binds it as nvarchar(max) JSON text — Parquet/CSV
files are decoded server-side into a JSON array of records, JSON/JSONL pass
through. Consume with OPENJSON:
-- @P1 file (s3object)
SELECT id, name
FROM OPENJSON(@P1)
WITH (id INT, name NVARCHAR(200));
Streaming query results to S3
Add a -- s3 directive at the top of the script to stream the result set to S3
instead of returning rows. Windmill writes the file and returns its S3Object
as the script result.
-- s3 prefix=exports/users format=parquet
SELECT id, name FROM users;
All keys are optional: prefix (object key prefix), storage (named storage —
omit to use the workspace default), format (json (default), parquet, or
csv). Use this for large result sets — rows stream directly to S3 instead of
being buffered as the script return value.