July 30, 2023

tWindow – Docs for ESB 7.x

tWindow

Applies a given Spark window on the incoming RDDs and sends the window-based RDDs
to its following component.

tWindow enables the Spark Job you are designing to
perform window operations. For further information about a Spark window, see the related
documentation at Window operations.

tWindow properties for Apache Spark Streaming

These properties are used to configure tWindow running in the Spark Streaming Job framework.

The Spark Streaming
tWindow component belongs to the Processing family.

The streaming version of this component is available in Talend Real Time Big Data Platform and in
Talend Data Fabric.

Basic settings

Window duration

Enter, without quotation marks, the duration (in milliseconds) that defines the length of
the window to be applied.

For example, if the batch size defined in the Spark configuration tab is 2 seconds, a
window duration of 6 seconds means that 3 batches are handled each time this window is
applied.

Define the slide duration

Select the Define the slide duration check box and in the
field that is displayed, enter, without quotation marks, the time in milliseconds at the end
of which the window is to be applied.

For example, if the batch size defined in the Spark
configuration
tab is 2 seconds, a slide duration of 4 seconds means the window is
applied every 4 seconds; and if the window duration is 6 seconds, after two window
applications there will be the overlap of one batch.

If you leave this check box clear, the slide duration is assumed to be the batch size
defined in the Spark configuration tab.

Both the window duration and the slide duration must be multiples of the batch size defined in the Spark
configuration
tab.

Usage

Usage rule

This component is used as an intermediate step.

This component does not change the data schema but controls the pace of the processing of
the micro-batches via the specific window.

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

In the Spark
Configuration
tab in the Run
view, 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 (Yarn client or Yarn cluster):

    • When using Google Dataproc, specify a bucket in the
      Google Storage staging bucket
      field in the Spark configuration
      tab.

    • When using HDInsight, specify the blob to be used for Job
      deployment in the Windows Azure Storage
      configuration
      area in the Spark
      configuration
      tab.

    • When using Altus, specify the S3 bucket or the Azure
      Data Lake Storage for Job deployment in the Spark
      configuration
      tab.
    • When using Qubole, add a
      tS3Configuration to your Job to write
      your actual business data in the S3 system with Qubole. Without
      tS3Configuration, this business data is
      written in the Qubole HDFS system and destroyed once you shut
      down your cluster.
    • When using on-premise
      distributions, use the configuration component corresponding
      to the file system your cluster is using. Typically, this
      system is HDFS and so use tHDFSConfiguration.

  • Standalone mode: use the
    configuration component corresponding to the file system your cluster is
    using, such as tHDFSConfiguration or
    tS3Configuration.

    If you are using Databricks without any configuration component present
    in your Job, your business data is written directly in DBFS (Databricks
    Filesystem).

This connection is effective on a per-Job basis.

Related scenarios

For a related scenario, see Analyzing a Twitter flow in near real-time.


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