Table Validator (Reference)

This node ensures a certain table structure and table content using the table structure and table content of a second table as reference. The table to validate should be connected to the first input port and the reference table to the second input port. Contrary to the Table Validator node, the performed validation checks will applied on the bases of all columns of the reference table and can't be adjusted per column. It is ensured that the result table structure is mostly identical to the reference specification. That is done by resorting of columns, the insertion of missing columns (filled with missing values) and optional removal of additional columns. You can also choose if each column is required and if the data type or the domain should be checked/converted. If the validation succeeds, data gets output to the first port (potentially renamed, sorted according to the reference specification and with converted types). If the validation fails, the first port is inactive and the second port contains a table that lists all conflicts or the node fails. All options mentioned below marked with Data forces also a traversal of the input data.

Options

General settings

Behavior on validation issues

Defines how validation faults should influence the following workflow.

• Fail node - Forces the node to fail; the exception carries a appropriate message containing detailed descriptions about the validation faults. A traversal of the data is canceled if the structural comparison already failed.
• Deactivate first output port - The node will never fail but the first output port is set inactive. Validation results are presented at the second output port as a data table which contains the Column name, an Error ID (one of: COLUMN_NOT_CONTAINED, CONTAINS_MISSING_VALUE, INVALID_DATATYPE, CONVERTION_FAILED, OUT_OF_DOMAIN) and an human readable Description for each validation fault. The data is completely traversed, independent of potential structural differences. This option is useful if a complete validation of the input data is desired. For example if the workflow is used within the WebPortal, to avoid try and error passes.

Handling of unknown colums

Removes columns which are not included in the reference table spec.

• Don't allow unknown columns - Unknown columns will force a validation issue.
• Remove unknown columns - Unknown columns will be removed.
• Sort them to the end - Unknown columns will shifted to the end of the table.

Validation Settings

Fail if column is missing (Structure)

Ensures that the configured columns exist in the input table. If case insensitive name matching is selected the first matching column will satisfy this condition.

Case insensitive name matching (Structure)

Also columns with an similar name will be considered to be validated according to this configuration. Users should take attention if using this option as the assignment from a column to a configuration is not trivial computed at runtime. The rules are explained in the following.

1. Exact name match - Assigns the configuration with the exact name. The name is marked as used and cannot match any following input columns again.
2. First matching configuration - Assigns the first configuration to the column with a matching name, the name is marked as used and cannot match any following input columns again.

Fail on missing value (Data)

Fails if the columns contains any missing value.

Check data type (Structure|Data)

Ensures a correct data type.

• Fail if different - Fails if the reference data type is not a super type of the input column spec. I.e. it checks that the input column implements all DataValue classes that are also implemented by the reference column's data type.
• Try to convert; fail if not compatible
• Try to convert; insert missing if not compatible

Check possible values (Data)

Checks if each data object is contained in the possible values of the reference domain. The option is only enabled if any configured column defines possible values.

• Fail if out of domain
• Replace with missing values

Check min & max (Data)

Checks if each data object is between min and max defined by the domain of the reference specification. The option is only enabled if any configured column defines possible values.

• Fail if out of domain
• Replace with missing values

Views

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Workflows

• 01_Validating_DatatablesKNIME Hub
• 02_Accounting ManagementKNIME Hub
• 02_Data_Manipulation_Exercise_1_BKNIME Hub
• 02_Data_Manipulation_Exercise_1_CKNIME Hub
• 02_Data_Manipulation_Exercise_1_DKNIME Hub
• Show all 50 workflows

Links

• Possible to create a popup messageby ipazin on 2019-03-07

  forum.knime.com/p/55746

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