Skip to main content Skip to complementary content

tHiveWarehouseInput properties for Apache Spark Batch

These properties are used to configure tHiveWarehouseInput running in the Spark Batch Job framework.

The Spark Batch tHiveWarehouseInput component belongs to the Storage family.

The component in this framework is available in all subscription-based Talend products with Big Data and Talend Data Fabric.

Basic settings

Property Type

Select the way the connection details will be set.

  • Built-In: The connection details will be set locally for this component. You need to specify the values for all related connection properties manually.

  • Repository: The connection details stored centrally in Repository > Metadata will be reused by this component.

    You need to click the [...] button next to it and in the pop-up Repository Content dialog box, select the connection details to be reused, and all related connection properties will be automatically filled in.

Hive Storage Configuration Select the tHiveWarehouseConfiguration component from which you want Spark to use the configuration details to connect to Hive.
HDFS Storage Configuration

Select the tHDFSConfiguration component from which you want Spark to use the configuration details to connect to a given HDFS system and transfer the dependent jar files to this HDFS system. This field is relevant only when you are using an on-premises distribution.

Schema and Edit Schema

A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. When you create a Spark Job, avoid the reserved word line when naming the fields.

Always use lowercase when naming a field because the processing behind the scene could force the field names to be lowercase.

Select the type of schema you want to use from the Schema drop-down list:
  • Built-In: You create and store the schema locally for this component only.

  • Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

  • View schema: choose this option to view the schema only.

  • Change to built-in property: choose this option to change the schema to Built-in for local changes.

  • Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

    If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

Input source

Select the type of the input data you want tHiveWarehouseInput to read:
  • Hive Query: the Database and Hive query fields are displayed. You need to enter the related information about the Hive database to be connected to, and the Hive query statement you want to use to select the data to be used
  • ORC file: the Input file name field is displayed and the Hive storage configuration list is deactivated, because the ORC file should be stored in your HDFS system hosting Hive. You need to enter the directory where the file to be used is stored.

For further information about the Hive query language, see

Information noteNote: Compressed data in the form of Gzip or Bzip2 can be processed through the query statements. For details, see

Hadoop provides different compression formats that help reduce the space needed for storing files and speed up data transfer. When reading a compressed file, Talend Studio needs to extract it before being able to feed it to the input flow.

Advanced settings

Register Hive UDF jars

Add the Hive user-defined function (UDF) jars you want tHiveInput to use. Note that you must define a function alias for each UDF to be used in the Temporary UDF functions table.

Once you add one row to this table, click it to display the [...] button and then click this button to display the jar import wizard. Through this wizard, import the UDF jar files you want to use.

A registered function is often used in a Hive query that you edit in the Hive Query field in the Basic settings view. Note that this Hive Query field is displayed only when you select Hive query from the Input source list.

Temporary UDF functions

Complete this table to give each imported UDF class a temporary function name to be used in the Hive query in the current tHiveInput component.

Global Variables

Global Variables

ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl+Space to access the variable list and choose the variable to use from it.

For more information about variables, see Using contexts and variables.


Usage rule

This component is used as a start component and requires an output link.

This component should use a tHiveWarehouseConfiguration component present in the same Job to connect to Hive.

This component, along with the Spark Batch component Palette it belongs to, appears only when you are creating a Spark Batch Job.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!