# Dynamic SQL row
##  Dynamic SQL row
### Description
The Dynamic SQL Row transform allows you to execute a SQL statement that is defined in a database field.
The lookup values returned by the transform are added as new fields onto the stream.
| Hop Engine | ✓ |
| ---------- | ------------ |
| Spark | ? |
| Flink | ? |
| Dataflow | ? |
### Options
| Option | Description |
| ------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Transform name | Name of the transform; This name has to be unique in a single pipeline |
| Connection | Select a database connection for the lookup |
| SQL field name | Specify the field that contains the SQL to execute |
| Number of rows to return | Specify the number of records to return. 0 means, return all rows |
| Outer Join | - false: don’t return rows where nothing is found - true: at least return one source row, the rest is NULL |
| Replace variables | In case you want to use variables in the SQL, e.g. ${table\_name}, this option needs to be checked. |
| Query only on parameters change | If your SQL statements do not change a lot, check this option to reduce the number of physical database queries. |
| Template SQL | In Hop meta and data are separate so you have to specify the meta part in template SQL (field name and type). I mean any statement that returns the same row structure. |
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