tCombinedSQLFilter
Filters data by reorganizing, deleting or adding columns based on the source table
and to filter the given data source using the filter conditions.
tCombinedSQLFilter allows you to
alter the schema of a source table through column name mapping and to define a row
filter on that table. Therefore, it can be used to filter columns and rows at the same
time. This component has real-time capabilities since it runs the data filtering on the
DBMS itself.
tCombinedSQLFilter Standard properties
These properties are used to configure tCombinedSQLFilter running in the Standard Job framework.
The Standard
tCombinedSQLFilter component belongs to the ELT family.
The component in this framework is available in all Talend
products.
Basic settings
Schema and Edit |
A schema is a row description. It defines the number of fields Click Edit
Click Sync columns to retrieve |
 |
Built-in: You create and store |
 |
Repository: You have already |
Logical operator between conditions |
Select the logical operator between the filter conditions defined Two operators are available: Or, |
Conditions |
Select the type of WHERE clause along with the values and the |
 |
Input Column: Select the column |
 |
Operator: Select the type of the |
 |
Values: Type in the values to be |
 |
Negate: Select this check box to |
Use custom SQL |
Customize a WHERE clause by selecting this check box and editing |
Advanced settings
tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at a |
Global Variables
Global Variables |
NB_LINE: the number of rows read by an input component or
QUERY: the query statement being processed. This is a Flow
ERROR_MESSAGE: the error message generated by the A Flow variable functions during the execution of a component while an After variable To fill up a field or expression with a variable, press Ctrl + For further information about variables, see |
Usage
Usage rule |
This component is an intermediary component. The use of the |
Related Scenario
For a related scenario, see Filtering and aggregating table columns directly on the DBMS.