August 16, 2023

tPigAggregate – Docs for ESB 6.x

tPigAggregate

Adds one or more additional columns to the output of the grouped data to create
data to be used by Pig.

The tPigAggregate groups the original data by column and
adds one or more additional columns to the output of preceding grouped data.

tPigAggregate Standard properties

These properties are used to configure tPigAggregate running in the Standard Job framework.

The Standard
tPigAggregate component belongs to the Big Data and the Processing families.

The component in this framework is available when you are using one of the Talend solutions with Big Data.

Basic settings

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. The schema is either Built-In or stored remotely in the Repository.

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.

 

Built-in: The schema will be
created and stored locally for this component only. Related topic:


Talend Studio
User Guide
.

 

Repository: The schema already
exists and is stored in the Repository, hence can be reused in
various projects and Job designs. Related topic: see


Talend Studio
User Guide
.

Group by

Click the plus button to add one or more columns to set tuples in
the source data as group condition.

Operations

Click the plus button to add one or more columns to generate one
or more additional output columns based on conditions:

Additional Output Column: Select a
column in the original data as output column.

Function: Functions for operation
on input data.

Input Column: Select a column in
the original data as input column.

Advanced settings

Increase parallelism

Select this check box to set the number of reduce tasks for the
MapReduce Jobs.

tStatCatcher Statistics

Select this check box to gather the Job processing metadata at the
Job level as well as at each component level.

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 further information about variables, see
Talend Studio

User Guide.

Usage

Usage rule

This component is commonly used as intermediate step together with
input component and output component.

Prerequisites

The Hadoop distribution must be properly installed, so as to guarantee the interaction
with
Talend Studio
. The following list presents MapR related information for
example.

  • Ensure that you have installed the MapR client in the machine where the Studio is,
    and added the MapR client library to the PATH variable of that machine. According
    to MapR’s documentation, the library or libraries of a MapR client corresponding to
    each OS version can be found under MAPR_INSTALL
    hadoophadoop-VERSIONlib
    ative
    . For example, the library for
    Windows is lib
    ativeMapRClient.dll
    in the MapR
    client jar file. For further information, see the following link from MapR: http://www.mapr.com/blog/basic-notes-on-configuring-eclipse-as-a-hadoop-development-environment-for-mapr.

    Without adding the specified library or libraries, you may encounter the following
    error: no MapRClient in java.library.path.

  • Set the -Djava.library.path argument, for example, in the Job Run VM arguments area
    of the Run/Debug view in the [Preferences] dialog box in the Window menu. This argument provides to the Studio the path to the
    native library of that MapR client. This allows the subscription-based users to make
    full use of the Data viewer to view locally in the
    Studio the data stored in MapR.

For further information about how to install a Hadoop distribution, see the manuals
corresponding to the Hadoop distribution you are using.

Limitation

Knowledge of Pig scripts is required.

Related scenario

For a tPigAggregate related scenario, Aggregating values and sorting data of tAggregateRow.


Document get from Talend https://help.talend.com
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