August 16, 2023

tLogRow properties for Apache Spark Batch – Docs for ESB 6.x

tLogRow properties for Apache Spark Batch

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

The Spark Batch
tLogRow component belongs to the Misc family.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.

Basic settings

Define a storage configuration
component

Select the configuration component to be used to provide the configuration
information for the connection to the target file system such as HDFS.

If you leave this check box clear, the target file system is the local
system.

The configuration component to be used must be present in the same Job. For
example, if you have dropped a tHDFSConfiguration component in the Job, you can select it to write
the result in a given HDFS system.

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: You create and store the
schema locally for this component only. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

Sync columns Click to synchronize the output file schema with the input
file schema. The Sync function is available only when the component is
linked with the preceding component using a Row connection.
Basic Displays the output flow in basic mode.
Table Displays the output flow in table cells.
Vertical

Displays each row of the output flow as a key-value list.

With this mode selected, you can choose to show either the unique name
or the label of component, or both of them, for each output row.

Separator

(For Basic mode only)

Enter the separator which will delimit data on the Log display.

Print header

(For Basic mode only)

Select this check box to include the header of the input
flow in the output display.

Print component unique name in front of each
output row

(For Basic mode only)

Select this check box to show the unique name the component in front
of each output row to differentiate outputs in case several tLogRow components are used.

Print schema column name in front of each
value

(For Basic mode only)

Select this check box to retrieve column labels from output
schema.

Use fixed length for values

(For Basic mode only)

Select this check box to set a fixed width for the value
display.

Usage

Usage rule

This component is used as an intermediate or an end step.

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

Note that in this documentation, unless otherwise
explicitly stated, a scenario presents only Standard Jobs,
that is to say traditional
Talend
data integration Jobs.

Spark Connection

You need to use the Spark Configuration tab in
the Run view to define the connection to a given
Spark cluster for the whole Job. In addition, since the Job expects its dependent jar
files for execution, you must specify the directory in the file system to which these
jar files are transferred so that Spark can access these files:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.


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