tGreenplumOutput Standard properties
These properties are used to configure tGreenplumOutput running in the Standard Job framework.
The Standard tGreenplumOutput component belongs to the Databases family.
The component in this framework is available in all Talend products.
Basic settings
Database |
Select the desired database type from the list and click Apply. |
Property type |
Either Built-in or Repository . |
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Built-in: No property data stored centrally. |
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Repository: Select the repository file in which the properties are stored. The fields that follow are completed automatically using the data retrieved. |
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 Centralizing database metadata. |
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Use an existing connection |
Select this check box and in the Component List drop-down list, select the desired connection component to reuse the connection details you already defined. Information noteNote: When a Job contains the parent Job and the child Job, do the following if you
want to share an existing connection between the parent Job and the child Job (for example,
to share the connection created by the parent Job with the child Job).
For an example about how to share a database connection across Job levels, see Sharing a database connection. |
Host |
Database server IP address. |
Port |
Listening port number of DB server. |
Database |
Name of the database |
Username and Password |
DB user authentication data. To enter the password, click the [...] button next to the password field, enter the password in double quotes in the pop-up dialog box, and click OK to save the settings. |
Table |
Name of the table to be written. Note that only one table can be written at a time |
Action on table |
On the table defined, you can perform one of the following operations: None: No operation is carried out. Drop and create a table: The table is removed and created again. Create a table: The table does not exist and gets created. Create a table if not exists: The table is created if it does not exist. Drop a table if exists and create: The table is removed if it already exists and created again. Clear a table: The table content is deleted. |
Action on data |
On the data of the table defined, you can perform: Insert: Add new entries to the table. If duplicates are found, Job stops.
Update: Make
changes to existing
entries.
Information noteNote: In cases where all the schema
columns are set as keys, this action yields an error and the Job fails.
Insert or
update: Insert a new record. If the record with the given reference
already exists, an update would be
made.
Information noteNote: In cases where all the schema
columns are set as keys, this action yields a warning message and the Job
continues.
Update or
insert: Update the record with the given reference. If the record does
not exist, a new record would be
inserted.
Information noteNote: In cases where all the schema
columns are set as keys, this action yields a warning message and the Job
continues.
Delete: Remove entries corresponding to the input flow. 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. |
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. |
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Built-In: You create and store the schema locally for this component only. |
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Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. 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 Retrieving table schemas. |
Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
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Die on error |
This check box is selected by default. Clear the check box to skip the row on error and complete the process for error-free rows. If needed, you can retrieve the rows on error via a Row>Rejects link. |
Advanced settings
Additional JDBC Parameters |
Specify additional JDBC parameters for the database connection created. |
DB driver |
Select the desired database driver from the drop-down list, which can be Greenplum and PostgreSQL and defaults to Greenplum. This option is available when Use an existing connection is not selected in the Basic settings view. |
Use alternate schema |
Select this option to use a schema other than the one specified by the component that establishes the database connection (that is, the component selected from the Component list drop-down list in Basic settings view). After selecting this option, provide the name of the desired schema in the Schema field. This option is available when Use an existing connection is selected in Basic settings view. |
Commit every |
Enter the number of rows to be completed before committing batches of rows together into the DB. This option ensures transaction quality (but not rollback) and, above all, better performance at execution. |
Additional Columns |
This option is not offered if you create (with or without drop) the DB table. This option allows you to call SQL functions to perform actions on columns, which are not insert, nor update or delete actions, or action that require particular preprocessing. |
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Name: Type in the name of the schema column to be altered or inserted as new column |
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SQL expression: Type in the SQL statement to be executed in order to alter or insert the relevant column data. |
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Position: Select Before, Replace or After following the action to be performed on the reference column. |
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Reference column: Type in a column of reference that the tDBOutput can use to place or replace the new or altered column. |
Use field options |
Select this check box to customize a request, especially when there is double action on data. |
Use Batch |
Select this check box to activate the batch mode for data processing. Information noteNote:
This check box is available only when you have selected the Insert, Update, or Delete option in the Action on data option. |
Batch Size |
Specify the number of records to be processed in each batch. This field appears only when the Use batch mode check box is selected. |
tStat Catcher Statistics |
Select this check box to collect log data at the component level. |
Enable parallel execution |
Select this check box to perform high-speed data processing, by treating
multiple data flows simultaneously. Note that this feature depends on the database or
the application ability to handle multiple inserts in parallel as well as the number of
CPU affected. In the Number of parallel executions
field, either:
Note that when parallel execution is enabled, it is not possible to use global variables to retrieve return values in a subJob.
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Global Variables
Global Variables |
NB_LINE: the number of rows processed. 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_INSERTED: the number of rows inserted. 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. ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box. To fill up a field or expression with a variable, press Ctrl+Space to access the variable list and choose the variable to use from it. For more information about variables, see Using contexts and variables. A Flow variable functions during the execution of a component while an After variable functions after the execution of the component. |
Usage
Usage rule |
This component covers all possible SQL queries for Greenplum databases. It allows you to carry out actions on a table or on the data of a table in a Greenplum database. It enables you to create a reject flow, with a Row>Rejects link filtering the data in error. For a usage example, 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. The Dynamic settings table is available only when the Use an existing connection check box is selected in the Basic settings view. Once a dynamic parameter is defined, the Component List box in the Basic settings view becomes unusable. 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 Dynamic schema and Creating a context group and define context variables in it. |