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tHMapFile properties for Apache Spark Batch

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

The Spark Batch tHMapFile component belongs to the Processing family.

This component is available in Talend Platform products with Big Data and in Talend Data Fabric.

Basic settings

Storage

To connect to an HDFS installation, select the Define a storage configuration component check box and then select the name of the component to use from those available in the drop-down list.

This option requires you to have previously configured the connection to the HDFS installation to be used, as described in the documentation for the tHDFSConfiguration component.

If you leave the Define a storage configuration component check box unselected, you can only convert files locally.

Configure Component

To configure the component, click the [...] button and, in the Component Configuration window, perform the following actions.

  1. Click the Select button next to the Record Map field and then, in the Select a Map dialog box that opens, select the map you want to use and then click OK.

    This map must have been previously created in Talend Data Mapper .

    Note that the input and output representations are those defined in the map, and cannot be changed in the component.

  2. Click Next.

  3. Tell the component where each new record begins. In order for you to be able to do so, you need to fully understand the structure of your data.

    Exactly how you do this varies depending on the input representation being used, and you will be presented with one of the following options.

    1. Select an appropriate record delimiter for your data. Note that you must specify this value without quotes.
      • Separator lets you specify a separator indicator, such as \n, to identify a new line.

        Supported indicators are \n for a Unix-type new line, \r\n for Windows and \r for Mac, and \t for tab characters.

      • Start/End with lets you specify the initial characters that indicate a new record, such as <root, or the characters that indicate where a record ends. This can also be a regular expression.

        Start with also supports new lines, \n for a Unix-type new line, \r\n for Windows and \r for Mac, and \t for tab characters.

      • Sample File: To test the signature with a sample file, click the [...] button, browse to the file you want to use as a sample, click Open, and then click Run to test your sample.

        Testing the signature lets you check that the total number of records and their minimum and maximum length corresponds to what you expect based on your knowledge of the data. This step assumes you have a local subset of your data to use as a sample.

      • Click Finish.

    2. If your input representation is COBOL or Flat with positional and/or binary encoding properties, define the signature for the input record structure:
      • Input Record root corresponds to the root element in your input record.
      • Minimum Record Size corresponds to the size in bytes of the smallest record. If you set this value too low, you may encounter performance issues, since the component will perform more checks than necessary when looking for a new record.

      • Maximum Record Size corresponds to the size in bytes of the largest record, and is used to determine how much memory is allocated to read the input.

      • Sample from Workspace or Sample from File System: To test the signature with a sample file, click the [...] button, and then browse to the file you want to use as a sample.

        Testing the signature lets you check that the total number of records and their minimum and maximum length corresponds to what you expect based on your knowledge of the data. This step assumes you have a local subset of your data to use as a sample.

      • Footer Size corresponds to the size in bytes of the footer, if any. At runtime, the footer will be ignored rather than being mistakenly included in the last record. Leave this field empty if there is no footer.

      • Click the Next button to open the Signature Parameters window, select the fields that define the signature of your record input structure (that is, to identify where a new record begins), update the Operation and Value columns as appropriate, and then click Next.

      • In the Record Signature Test window that opens, check that your Records are correctly delineated by scrolling through them with the Back and Next buttons and performing a visual check, and then click Finish.

Input

Click the [...] button to define the path to where the input file is stored.

Output

Click the [...] button to define the path to where the output files will be stored.

Action

From the drop-down list, select:
  • Create if you want the mapping process to create a new file.

  • Overwrite if you want the mapping process to overwrite an existing file.

Open Map Editor

Click the [...] button to open the Structure Generate/Select wizard.

You can first select the type of map to create:
  • Standard Map: Map that perform mappings using functions based on xQuery
  • Availability-noteBeta
    DSQL Map: Map that performs mappings using Data Shaping Query Language.
You can select the Don't ask me again check box to save this preference. For more information about these map types, see Working with maps.
Information noteNote: This option is available only if you have installed the R2023-10 Studio monthly update or a later one delivered by Talend. For more information, check with your administrator.

Then you can either have the hierarchical mapper structure generated automatically based on the schema, or select an existing hierarchical mapper structure. You must do this for both the input and output sides of your Map. The following lists the options for the output structure:

  • Generate hierarchical mapper structure based on the schema option: When you connect multiple output connections to the tHMap, the page displays a confirmation message that informs you that the mapper structures are generated based on the output connections.
  • Select an existing hierarchical mapper structure option: You can connect multiple outputs that are payload-based connections to the tHMap. If there is a single payload-type connection, you can select the Allow support for multiple output connections check box. The generated output map inherits from the existing payload structure.

If Talend Studio detects multiple output connections available, the window displays both output structure options without the support for multiple output connections check boxes.

If neither input nor output connection exists, the Structure Selection page is displayed.

Die on error

This check box is selected by default.

Clear the check box to skip any rows on error and complete the process for error-free rows.

If you opt to clear the check box, you can perform any of these options:
  • Row > Rejectsconnection. In the output component, ensure that you add a fixed metadata with the following columns:
    • inputRecord: contains the rejected input record during the transformation.
    • recordId: refers to the record identifier. For a text or binary input, the recordId specifies the start offset of the record in the input file. For an AVRO input, the recordId specifies the timestamp when the input was processed.
    • errorMessage: contains the transformation status with details of the cause of the transformation error.
  • If the check box is unselected, you can retrieve the rejected records in a file. One of these mechanisms triggers this feature: (1) a context variable (Connect the tHMapFile component to an output component, for example tAvroOutput, using a talend_transform_reject_file_path) and (2) a system variable set in the Advanced Job parameters (spark.hadoop.talend.transform.reject.file.path).

    When you set the file path on the Hadoop Distributed File System (HDFS), no further configurations are needed. When you set the file on Amazon S3 or any other Hadoop-compatible file systems, add the associated Spark advanced configuration parameter.

    In case of errors at runtime, tHMapFile checks if one of the mechanisms exists and, if so, appends the rejected record to the designated file. The reject file content includes the concatenation of the rejected records without any additional metadata.

    If the file system you use does not support appending to a file, a separate file is created for each rejection. The file uses the provided file path as the prefix and adds a suffix that is the offset of the input file and the size of the rejected record.

Information noteNote: Any errors while trying to store the reject are logged and the processing continues.
Merge result to single file

By default, the tHMapFile creates several part files. Select this check box to merge these files into a single file.

The following options are used to manage the source and the target files:
  • Merge File Path: enter the path to the file which will contain the merged content from all parts.
  • Remove source dir: select this check box to remove the source files after the merge.
  • Override target file: select this check box to override the file already existing in the target location. This option does not override the folder.
  • Include Header: select this check box to add the CSV header to the beginning of the merged file. This option is only used for CSV outputs. For other representations, it has no effect on the target file.
Information noteWarning: Using this option with an Avro output creates an invalid Avro file. Since each part starts with an Avro Schema header, the merged file would have more than one Avro Schema, which is invalid.

Advanced settings

Use old Eclipse runtime (deprecated)

Select this check box to include the old Eclipse runtime in your Job.
Information noteNote: This option is available only if you have installed the R2024-03 Talend Studio monthly update or a later one delivered by Talend. For more information, check with your administrator.

Usage

Usage rule This component is used with a tHDFSConfiguration component which defines the connection to the HDFS storage, or as a standalone component for mapping local files only.
Usage with Talend Runtime If you want to deploy a Job or Route containing a data mapping component with Talend Runtime, you first need to install the Talend Data Mapper feature. For more information, see Using Talend Data Mapper with Talend Runtime.

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