- Drop the following components required for this use case: tFixedFlowInput, tSplitRow and tLogRow from the Palette to the design workspace.
- Connect them together using Row Main connections.
to open its Basic settings
- Select Use Inline Content(delimited file) in the Mode area.
Fill the Content area with
the following scripts:
Talend;LA;California;537;5thAvenue;IT;Lionbridge;Memphis;Tennessee;537;Lincoln Road;IT Service;
Click Edit schema to open a
dialog box to edit the schema for the input data.
- Click the plus button to add twelve lines for the input columns: Company, City, State, CountryCode, Street, Industry, Company2, City2, State2, CountryCode2, Street2 and Industry2.
- Click OK to close the dialog box.
- Double-click tSplitRow to open its Basic settings view.
Click Edit schema to set the
schema for the output data.
- Click the plus button beneath the tSplitRow_1(Output) table to add four lines for the output columns: Company, CountryCode, Address and Industry.
- Click OK to close the dialog box. Then an empty table with column names defined in the preceding step will appear in the Columns mapping area:
- Click the plus button beneath the empty table in the Columns mapping area to add two lines for the output rows.
Fill the table in the Columns
mapping area by columns with the
Company: row1.Company, row1.Company2;CountryCode: row1.CountryCode, row1.CountryCode2;Address: row1.Street+","+row1.City+","+row1.State, row1.Street2+","+row1.City2+","+row1.State2;Industry: row1.Industry, row1.Industry2;Note:
The value in Address column, for example, row1.Street+","+row1.City+","+row1.State, will display an absolute address by combining values in Street column, City column and State column together. The "row1" used in the values of each column refers to the input row from tFixedFlowInput.
- Double-click tLogRow to open its Basic settings view.
- Click Sync columns to retrieve the schema defined in the preceding component.
- Select Table in the Mode area.
- Save the Job and press F6 to run it.
The input data in one row is split into two rows of data containing the same company information.