Pentaho unique rows redirect

The Unique Rows step removes duplicate rows from the input stream and filters only the unique rows as input data for the step. The input stream must be sorted in a step prior to the Unique Rows step; otherwise, only consecutive double rows will be correctly analyzed and filtered. The rows do not have to be pre-sorted if you use the Unique Rows HashSet step, or use the Spark processing engine Spark Engine to run the transformation. Use the Unique Rows step to define parameters for your output and how you want to sort duplicate rows.

The Unique Rows step requires definitions for the following options and parameters:. Select this option to process duplicate rows as an error and redirect them to the error stream of the step.

If you do not select this option, the duplicate rows are deleted. AEL does not support certain fields resulting from the use of this option. Please do not select this option if you intend to run your transformation in Spark. You can choose to ignore case, such as upper- lower- and title-cases, by setting this option to Y.

Unique Rows HashSet. Enter the following information for the step: Step name : Specify the unique name of the transformation on the canvas. You can customize the name or leave it as the default. The Unique Rows step requires definitions for the following options and parameters: Option Description Add counter to output? Select this option to add a counter field to the output stream. Counter field Specify a name for the counter field.

Redirect duplicate row Select this option to process duplicate rows as an error and redirect them to the error stream of the step. Error description Specify the error handling description that displays when the step detects duplicate rows. This description is only available when Redirect duplicate row is selected. Fields to compare table Specify the field names for which you want to find unique values.The Unique Rows HashSet step removes duplicate rows and filters only the unique rows as input data for the step.

This step differs from the Unique Rows transformation step by keeping track of the duplicate rows in memory and does not require a sorted input to process duplicate rows. Because of memory allocation issues, this step is intended for non-client machines. The required amount of memory and hardware will vary based on the size of the data you are processing.

Alternatively, you can use this step with the Spark processing engine to help overcome memory constraint issues. The Unique Rows HashSet step requires you to define parameters for your output and how you want to sort and track duplicate rows. Unique Rows.

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General The Unique Rows HashSet step requires you to define parameters for your output and how you want to sort and track duplicate rows. Enter the following information for the Step Name field: Step name: Specify the unique name of the transformation on the canvas. Settings The Unique Rows HashSet step requires definitions for the following options and parameters: Option Description Compare using stored row values Select this option to store values for the selected fields in memory for every record.

Storing row values requires more memory, but it prevents possible false positives if there are hash collisions. Redirect duplicate row Select this option to process duplicate rows as an error and redirect them to the error stream of the step.

If you do not select this option, the duplicate rows are deleted. Error description Specify the error handling description that displays when the step detects duplicate rows. This description is only available when Redirect duplicate row is selected. Fields to compare table Specify the field names for which you want to find unique values.

See Also Unique Rows. Select this option to store values for the selected fields in memory for every record. Select this option to process duplicate rows as an error and redirect them to the error stream of the step. Specify the error handling description that displays when the step detects duplicate rows. Specify the field names for which you want to find unique values.If you are running your transformation on the Pentaho engine, use the following instructions to set up the Unique Rows step.

Use the Unique Rows step to define parameters for your output and how you want to sort duplicate rows. The Unique Rows step requires definitions for the following options and parameters:.

Select Get to insert all the fields from the input stream. You can choose to ignore case, such as upper- lower- and title-cases, by setting this option to Y. Unique Rows HashSet.

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Enter the following information for the step: Step name : Specify the unique name of the transformation on the canvas. You can customize the name or leave it as the default. The Unique Rows step requires definitions for the following options and parameters: Option Description Add counter to output? Select this option to add a counter field to the output stream. Counter field Specify a name for the counter field. Redirect duplicate row Select this option to process duplicate rows as an error and redirect them to the error stream of the step.

If you do not select this option, the duplicate rows are deleted. Error description Specify the error handling description that displays when the step detects duplicate rows. This description is only available when Redirect duplicate row is selected.

Fields to compare table Specify the field names for which you want to find unique values. Ignore case You can choose to ignore case, such as upper- lower- and title-cases, by setting this option to Y.

If you do not specify any field entries, the step compares the entire row.

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See also. Select this option to process duplicate rows as an error and redirect them to the error stream of the step. Specify the error handling description that displays when the step detects duplicate rows.

Specify the field names for which you want to find unique values.For Pentaho 8. Important : Make sure that the input stream is sorted; otherwise, only consecutive double rows are evaluated correctly. Processes duplicate rows as an error and redirect rows to the error stream of the step. Requires you to set error handling for this step.

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Sets the error handling description to display when duplicate rows are detected. Only available when Redirect duplicate row is checked. Specify the field names on which you want to force uniqueness or click Get to insert all fields from the input stream s You can choose to ignore case by setting the Ignore case flag to Y.

In this instance, the first occurrence Kettle is passed to the next step s. Evaluate Confluence today. Pentaho Data Integration. Pages Blog. Child pages. Pentaho Data Integration Steps. Unique Rows. Browse pages. A t tachments 0 Page History. Jira links. Created by user-dclast modified by Phillip Wilkerson on Oct 05, Option Description Step name Name of the step; this name has to be unique in a single transformation Add counter to output? Check this option to add a counter field to the stream.

Counter field Define the counter field name. Redirect duplicate row Processes duplicate rows as an error and redirect rows to the error stream of the step. Error Description Sets the error handling description to display when duplicate rows are detected. Fields to compare table Specify the field names on which you want to force uniqueness or click Get to insert all fields from the input stream s You can choose to ignore case by setting the Ignore case flag to Y.

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pentaho unique rows redirect

Name of the step; this name has to be unique in a single transformation.The Unique Rows step removes duplicate rows from the input stream and filters only the unique rows as input data for the step. The input stream must be sorted in a step prior to the Unique Rows step; otherwise, only consecutive double rows will be correctly analyzed and filtered. Use the Unique Rows step to define parameters for your output and how you want to sort duplicate rows.

pentaho unique rows redirect

Select this option to process duplicate rows as an error and redirect them to the error stream of the step. If you do not select this option, the duplicate rows are deleted. AEL does not support certain fields resulting from the use of this option.

Please do not select this option if you intend to run your transformation in Spark. Specify the error handling description that displays when the step detects duplicate rows. This description is only available when Redirect duplicate row is selected. Unique Rows HashSet. Prerequisites The input stream must be sorted in a step prior to the Unique Rows step; otherwise, only consecutive double rows will be correctly analyzed and filtered.

General Use the Unique Rows step to define parameters for your output and how you want to sort duplicate rows. Enter the following information for the Step Name field: Step name: Specify the unique name of the transformation on the canvas. You can customize the name or leave it as the default. Settings The Unique Rows step requires definitions for the following options and parameters: Option Description Add counter to output?

Select this option to add a counter field to the output stream. Counter field Specify a name for the counter field. Redirect duplicate row Select this option to process duplicate rows as an error and redirect them to the error stream of the step. Error description Specify the error handling description that displays when the step detects duplicate rows. Fields to compare table Specify the field names for which you want to find unique values.

If you do not specify any field entries, the step compares the entire row. Specify the field names for which you want to find unique values.Increased IBM mainframe security comes by way of pervasive encryption.

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Using the Unique Rows step on the Pentaho engine

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Unique Rows (HashSet)

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pentaho unique rows redirect

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