tDeltaLakeOutput Standard properties
These properties are used to configure tDeltaLakeOutput running in the Standard Job framework.
The Standard tDeltaLakeOutput component belongs to the Databases family.
The component in this framework is available in all Talend products.
Basic settings
Database |
Select a type of database from the list and click Apply. |
Property Type |
Select the way the connection details will be set.
This property is not available when other connection component is selected from the Connection Component drop-down list. |
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Click this icon to open a database connection wizard and store the database connection parameters you set in the component Basic settings view. For more information about setting up and storing database connection parameters, see Talend Studio User Guide. |
Connection Component |
Select the the component whose connection you want to reuse from the drop-down list. Information noteWarning: If this component is configured to perform operations to a table, it is strongly recommended that you use an existing connection with the auto-commit function enabled for this comppnent. You can establish a connection of this type using the tDeltaLakeConnection component, with the Auto Commit option selected in the Advanced settings view.
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JDBC URL |
The JDBC URL of the Delta Lake database to be used, which begins with jdbc:spark:// (already presented). See section Configure JDBC URL at JDBC and ODBC drivers and configuration parameters for related information. |
Drivers |
Complete this table to load the driver JARs needed. To do this, click the [+] button under the table to add as many rows as needed, each row for a driver JAR, then select the cell and click the [...] button at the right side of the cell to open the Module dialog box from which you can select the driver JAR to be used. For this component, the driver jar SparkJDBC42-2.6.14.1018.jar is required and is added by default. For more information, see Importing a database driver. |
Driver Class |
Enter the class name for the specified driver between double quotation marks. For the SparkJDBC42-2.6.14.1018.jar driver, the name to be entered is com.simba.spark.jdbc.Driver (already presented). |
User Id and Password |
The database user authentication data. See section Username and password authentication at JDBC and ODBC drivers and configuration parameters for related information. To enter the password, click the [...] button next to the password field, and then in the pop-up dialog box enter the password between double quotes and click OK to save the settings. |
Table Name |
The name of the table into which data will be written. |
Data Action |
Select an action to be performed on data of the table defined.
Information noteWarning:
It is necessary to specify at least one column as a primary key on which the Update and Delete operations are based. You can do that by clicking Edit Schema and selecting the check box(es) next to the column(s) you want to set as primary key(s). For an advanced use, click the Advanced settings view where you can simultaneously define primary keys for the Update and Delete operations. To do that: Select the Use field options check box and then in the Key in update column, select the check boxes next to the column names you want to use as a base for the Update operation. Do the same in the Key in delete column for the Delete operation. |
Clear data in table |
Select this check box to clear data in the table before performing the action defined. |
Schema and Edit schema |
A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. When you create a Spark Job, avoid the reserved word line when naming the fields.
When the schema to be reused has default values that are integers or functions, ensure that these default values are not enclosed within quotation marks. If they are, you must remove the quotation marks manually. For more information, see the related description of retrieving table schemas in Talend Studio User Guide. Click Edit
schema to make changes to the schema.
Information noteNote: If you
make changes, the schema automatically becomes built-in.
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Guess Schema |
Click this button to generate schema columns based on the settings of database table columns. |
Die on error |
Select the check box to stop the execution of the Job when an error occurs. Clear the check box to skip any rows on error and complete the process for error-free rows. When errors are skipped, you can collect the rows on error using a connection. |
Specify a data source alias |
Select this check box and in the Data source alias field displayed, specify the alias of a data source created on Talend Runtime side to use the shared connection pool defined in the data source configuration. This option works only when you deploy and run your Job in Talend Runtime. If you use the component's own DB configuration, your data source connection will be closed at the end of the component. To prevent this from happening, use a shared DB connection with the data source alias specified. This property is not available when other connection component is selected from the Connection Component drop-down list. |
Advanced settings
Commit every |
Specify the number of rows to be processed before committing batches of rows together into the database. This option ensures transaction quality (but not rollback) and, above all, better performance at executions. |
Additional Columns |
This option allows you to call SQL functions to perform actions on columns, which are not insert, update or delete actions, or actions that require particular preprocessing. It is not offered if you create (with or without drop) the database table.
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Use field options |
Select this check box and in the Fields options table displayed, select the check box for the corresponding column to customize a request, particularly if multiple actions are being carried out on the data.
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Debug query mode |
Select this check box to display each step during processing entries in a database. |
Use Batch |
Select this check box to activate the batch mode for data processing, and in the Batch Size field displayed, specify the number of records to be processed in each batch. |
tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at the Job level as well as at each component level. |
Enable parallel execution |
Select this check box to perform high-speed data processing by treating multiple data flows simultaneously. This feature depends on the database or the application ability to handle multiple inserts in parallel as well as the number of CPU affected. With this check box selected, you need to specify the number of parallel executions desired in the Number of parallel executions field displayed. Information noteNote: When parallel execution is enabled, it is not possible to use global
variables to retrieve return values.
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Global Variables
ERROR_MESSAGE |
The error message generated by the component when an error occurs. This is an After variable and it returns a string. |
NB_LINE |
The number of rows processed. This is an After variable and it returns an integer. |
NB_LINE_INSERTED |
The number of rows inserted. This is an After variable and it returns an integer. |
NB_LINE_UPDATED |
The number of rows updated. This is an After variable and it returns an integer. |
NB_LINE_DELETED |
The number of rows deleted. This is an After variable and it returns an integer. |
NB_LINE_REJECTED |
The number of rows rejected. This is an After variable and it returns an integer. |
QUERY |
The query statement being processed. This is a Flow variable and it returns a string. |
Usage
Usage rule |
This component offers the flexibility benefit of the database query and covers all of the SQL queries possible. This component must be used as an output component. It allows you to carry out actions on a table or on the data of a table in a DeltaLake database. It also allows you to create a reject flow using a Row > Rejects link to filter data in error. For an example of tMysqlOutput in use, see Retrieving data in error with a Reject link. |
Dynamic settings |
Click the [+] button to add a row in the table and fill the Code field with a context variable to choose your database connection dynamically from multiple connections planned in your Job. This feature is useful when you need to access database tables having the same data structure but in different databases, especially when you are working in an environment where you cannot change your Job settings, for example, when your Job has to be deployed and executed independent of Talend Studio. For examples on using dynamic parameters, see Reading data from databases through context-based dynamic connections and Reading data from different MySQL databases using dynamically loaded connection parameters. For more information on Dynamic settings and context variables, see Talend Studio User Guide. |