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TD_INPUTVALIDATOR

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Mar 28, 2024 5:15 PM
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The TD_INPUTVALIDATOR, function is an AF Utility function used to return in-discrete data, which is passed to either SERIES_SPEC or MATRIX_SPEC through TABLE_NAME (input data). Few UAF functions required discrete data, so this function is used to find that in-discrete data. In-discrete data is classified differently for series and matrices.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Input
    Series - Interval of ROW_AXIS field is stable (interval to be same); No duplicate row_axis in same seriesMatrix - Interval of ROW_AXIS field is stable; Interval of COLUMN_AXIS field is stable; No duplicate row_axis( column major) or no duplicate column_axis(row major) in same matrix; Number of rows in each walelet is same; or each wavelet, column_axis (row_axis) starts from same value under row major ( column major); Execute function returns the following columns to either user or ART is created with.
Output ports
  1. Type: Table
    output of TD_INPUTVALIDATOR
    output of TD_INPUTVALIDATOR

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime

This component does not have nodes, extensions, nested components and related workflows

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