Execute row SQL script

Execute row SQL script

Description

The Execute Row SQL Script transform executes an SQL script for every input row the transform receives.

The SQL to execute can be passed as pipeline fields or read from a file.

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 to use
Commit	Number of rows to send before doing a database commit
SQL field name	The field that either contains the SQL to execute or optionally specifies the path to a file that contains SQL to execute
Read SQL from file	If checked, then the SQL field name option specifies a file that contains SQL to execute, otherwise the SQL field name option specifies the actual SQL to execute. (Available since 5.0)
Field to contain insert stats	Optional: If you want to get an additional field in our stream with the number or records that where inserted, please define the field name here.
Field to contain update stats	Same as insert stats, but for updated rows.
Field to contain delete stats	Same as insert stats, but for deleted rows.
Field to contain read stats	Same as insert stats, but for read rows.

Notes

Because of the scripting/dynamic nature of the transform, it does not use prepared statements and thus is not intended to work fast or optimal. For good performance turn to dedicated transforms like Table Output (insert into), Table Input (Select), Update, Delete, etc.