Table Input
Table input does not pass input data to the output, only fields inside the query are returned to the pipeline so all other variables and data will be lost. You can solve this by adding the variable as a field in the query or put a Get variables transform behind the table input.
To use data fields from a transform, you will have to select it in the dropdown "Insert data from transform". Note that if you are using a parametrized query using question marks, you must limit the stream to exactly the fields you need as input to the table input. This can also be done with a Select values transform.
| If you are getting unexpected query results, use the clear database cache icon (broom), or you can use the Hop menu icon: Tools / Clear DB Cache. In addition, click OK, save the pipeline, close and re-open the pipeline. |
| A cartesian join transform will combine a different number of fields from multiple table inputs without requiring key join fields. |
| Using the "insert data from transform" drop down will block until the transform selected has completed. |
Examples
Example to use data row field(s) parameterized query:
Select * from table1 where NameId = ? and AddressId = ?
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Replace variables in script: unchecked
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Insert data from transform: <point to the transform with the fields>
Example to use a variable value parameterized query:
This examples uses an integer. If you were using a string you most likely will have to use syntax ${PRM_NAME}
Select * from table1 where id = ${myId}
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Replace variables in script: checked
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Insert data from transform: <empty>
Example using a date range:
SELECT * FROM customers WHERE changed_date BETWEEN ? AND ?
This SQL statement requests two calendar dates, to create a range, that are read from the Insert data from transform option. The target date range can be provided using the Get System Info transform. For example, if you want to read all customers that have had their data changed yesterday, you can get a target range for yesterday and read the customer data. == Options
| Option | Description |
|---|---|
Transform name | Name of the transform. |
Connection | The database connection from which to read data |
SQL | The SQL statement used to read information from the database connection. You can also click Get SQL select statement… to browse tables and automatically generate a basic select statement. |
Enable lazy conversion | When enabled, lazy conversion avoids unnecessary data type conversions and can result in a significant performance improvements. |
Replace variables in script? | Enable to replace variables in the script; this feature was provided to allow you to test with or without performing variable substitutions. |
Insert data from transform | Specify the input transform name where Hop can expect information to come from. This information can then be inserted into the SQL statement. The locator where Hop inserts information is indicated with a question mark: ?. |
Execute for each row? | Enable to perform the data insert for each individual row. |
Limit size | Sets the number of lines that is read from the database; zero (0) means read all lines. |