Table Output


The Table Output transform allows you to load data into a database table. Table Output is equivalent to the DML operator INSERT. This transform provides configuration options for target table and a lot of housekeeping and/or performance-related options such as Commit Size and Use batch update for inserts.

If you have a database table that has identity columns and you are inserting a record, as part of the insert, the JDBC driver will typically return the auto-generated key it used when performing the insert. Note: This is not supported on all database types.


Option Description

Transform name

Name of the transform, this name has to be unique in a single pipeline.


The database connection to which data is written

Target Schema

The name of the Schema for the table to write data to. This is important for data sources that allow for table names with periods in them.

Target table

The name of the table to which data is written.

Commit size

Use transactions to insert rows in the database table. Commit the connection every N rows if N is larger than zero (0); otherwise, don’t use transactions. (Slower)

Truncate table

Select if you want the table to be truncated before the first row is inserted into the table

Ignore insert errors

Makes Hop ignore all insert errors such as violated primary keys. A maximum of 20 warnings will be logged however. This option is not available for batch inserts.

Specify database fields

Enable this option to specify the fields in the Database fields tab. Otherwise all fields are taken into account by default.

Partition data over tables

Use to split the data over multiple tables. For example instead of inserting all data into table SALES, put the data into tables SALES_200510, SALES_200511, SALES_200512, …​ Use this on systems that don’t have partitioned tables and/or don’t allow inserts into UNION ALL views or the master of inherited tables. The view SALES allows you to report on the complete sales:


Use batch update for inserts

Enable if you want to use batch inserts. This feature groups inserts statements to limit round trips to the database. This is the fastest option and is enabled by default.

Is the name of the table defined in a field?

Use these options to split the data over one or more tables; the name of the target table is defined in the field you specify. For example if you store customer data in the field gender, the data might end up in tables M and F (Male and Female). There is an option to exclude the field containing the tablename from being inserted into the tables.

Field that contains name of table

When the option "Is the name of the table defined in a field?" is enabled, enter the field name to use here.

Store the table name field

When the option "Is the name of the table defined in a field?" is enabled, you can chose is this field should we written to the table or not.

Return auto-generated key

Enable if you want to get back the key that was generated by inserting a row into the table

Name of auto-generated key field

Specifies the name of the new field in the output rows that contains the auto-generated key


Generates the SQL to create the output table automatically

Metadata Injection Support

All fields of this transform support metadata injection. You can use this transform with ETL Metadata Injection to pass metadata to your pipeline at runtime.

  • Options: Target Schema, Target Table, Commit Size, Truncate Table, Specify Database Fields, Partition Data over Table, Use Batch Update for Inserts, Is the Name of Table Defined in a Field?, Store the Tablename Field, and Return Auto-Generated Key

  • Values: Table and Stream