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