August 17, 2023

tDenormalizeSortedRow – Docs for ESB 5.x

tDenormalizeSortedRow

tDenormalizeSortedRow_icon32_white.png

tDenormalizeSortedRow properties

Component family

Processing/Fields

 

Function

tDenormalizeSortedRow combines in
a group all input sorted rows. Distinct values of the denormalized
sorted row are joined with item separators.

Purpose

tDenormalizeSortedRow helps
synthesizing sorted input flow to save memory.

Basic settings

Schema and Edit
Schema

A schema is a row description, it defines the number of fields to be processed and
passed on to the next component. The schema is either Built-in or stored remotely in the
Repository.

Since version 5.6, both the Built-In mode and the Repository mode are
available in any of the Talend solutions.

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.

Click Sync columns to retrieve
the schema from the previous component in the Job.

 

 

Built-in: You create the schema
and store it locally for the relevant component. Related topic: see
Talend Studio User
Guide
.

 

 

Repository: The schema already
exists and is stored in the Repository, hence can be reused in
various projects and Job flowcharts. Related topic: see
Talend Studio User
Guide
.

 

Input rows count

Enter the number of input rows.

 

To denormalize

Enter the name of the column to denormalize.

Advanced settings

tStatCatcher Statistics

Select this ckeck box to collect the log data at component
level.

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.

NB_LINE: the number of rows read by an input component or
transferred to an output component. This is an After variable and it returns an
integer.

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

This component handles flows of data therefore it requires input
and output components.

Log4j

The activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User
Guide
.

For more information on the log4j logging levels, see the Apache documentation at http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

Limitation

n/a

Scenario: Regrouping sorted rows

This Java scenario describes a four-component Job. It aims at reading a given
delimited file row by row, sorting input data by sort type and order, denormalizing all
input sorted rows and displaying the output on the Run
log console.

  • Drop the following components from the Palette onto the design workspace: tFileInputDelimited, tSortRow,
    tDenormalizeSortedRow, and tLogRow.

  • Connect the four components using Row Main
    links.

Use_Case_tDenormalizeSortedRow.png
  • In the design workspace, select tFileInputDelimited.

  • Click the Component tab to define the basic
    settings for tFileInputDelimited.

Use_Case_tDenormalizeSortedRow1.png
  • Set Property Type to Built-In.

  • Fill in a path to the processed file in the File
    Name
    field. The name_list file used in this
    example holds two columns, id and first name.

Use_Case_tDenormalizeSortedRow2.png
  • If needed, define row and field separators, header and footer, and the number
    of processed rows.

  • Set Schema to Built
    in
    and click the three-dot button next to Edit Schema to define the data to pass on to the next component.
    The schema in this example consists of two columns, id and
    name.

Use_Case_tDenormalizeSortedRow3.png
  • In the design workspace, select tSortRow.

  • Click the Component tab to define the basic
    settings for tSortRow.

Use_Case_tDenormalizeSortedRow4.png
  • Set the Schema Type to Built-In and click Sync columns
    to retrieve the schema from the tFileInputDelimited component.

  • In the Criteria panel, use the plus button
    to add a line and set the sorting parameters for the schema column to be
    processed. In this example we want to sort the id columns
    in ascending order.

  • In the design workspace, select tDenormalizeSortedRow.

  • Click the Component tab to define the basic
    settings for tDenormalizeSortedRow.

Use_Case_tDenormalizeSortedRow5.png
  • Set the Schema Type to Built-In and click Sync columns
    to retrieve the schema from the tSortRow
    component.

  • In the Input rows countfield, enter the
    number of the input rows to be processed or press Ctrl+Space to access the context variable list and select the
    variable: tFileInputDelimited_1_NB_LINE.

  • In the To denormalize panel, use the plus
    button to add a line and set the parameters to the column to be denormalize. In
    this example we want to denormalize the name column.

  • In the design workspace, select tLogRow and
    click the Component tab to define its basic
    settings. For more information about tLogRow,
    see tLogRow.

  • Save your Job and press F6 to execute
    it.

Use_Case_tDenormalizeSortedRow6.png

The result displayed on the console shows how the name column was
denormalize.


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