tOracleOutput properties for Apache Spark Streaming

Property type

Either Built-in or Repository .

Built-in: No property data stored centrally.

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.

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.

Connection type

The available drivers are:

• Oracle OCI: Select this connection type to use Oracle Call Interface with a set of C-language software APIs that provide an interface to the Oracle database.

• Oracle Custom: Select this connection type to access a clustered database. With this type of connection, the Username and the Password fields are deactivated and you need to enter the connection URL in the URL field that is displayed.

  For further information about the valid form of this URL, see JDBC Connection strings from the Oracle documentation.

• Oracle Service Name: Select this connection type to use the TNS alias that you give when you connect to the remote database.

• WALLET: Select this connection type to store credentials in an Oracle wallet.

• Oracle SID: Select this connection type to uniquely identify a particular database on a system.

DB Version

Select the Oracle version in use.

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.

Oracle schema

Oracle schema name.

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:

Default: No operation is carried out.

Drop and create table: The table is removed and created again.

Create table: The table does not exist and gets created.

Create table if not exists: The table is created if it does not exist.

Drop table if exists and create: The table is removed if it already exists and created again.

Clear table: The table content is deleted.

Truncate table: The table content is deleted. You do not have the possibility to rollback the operation.

Truncate table with reuse storage: The table content is deleted. You do not have the possibility to rollback the operation. However, it is allowed to reuse the existing storage allocated to the table though the storage is considered empty.

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.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

• View schema: choose this option to view the schema only.

• Change to built-in property: choose this option to change the schema to Built-in for local changes.

• Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

  If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

Built-In: You create and store the schema locally for this component only.

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.

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.

Additional JDBC parameters

Specify additional connection properties for the database connection you are creating. The properties are separated by semicolon and each property is a key-value pair, for example, encryption=1;clientname=Talend.

This field is not available if the Use an existing connection check box is selected.

Use Batch

Select this check box to activate the batch mode for data processing.

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.

Connection pool

In this area, you configure, for each Spark executor, the connection pool used to control the number of connections that stay open simultaneously. The default values given to the following connection pool parameters are good enough for most use cases.

• Max total number of connections: enter the maximum number of connections (idle or active) that are allowed to stay open simultaneously.

  The default number is 8. If you enter -1, you allow unlimited number of open connections at the same time.

• Max waiting time (ms): enter the maximum amount of time at the end of which the response to a demand for using a connection should be returned by the connection pool. By default, it is -1, that is to say, infinite.

• Min number of idle connections: enter the minimum number of idle connections (connections not used) maintained in the connection pool.

• Max number of idle connections: enter the maximum number of idle connections (connections not used) maintained in the connection pool.

Evict connections

Select this check box to define criteria to destroy connections in the connection pool. The following fields are displayed once you have selected it.

• Time between two eviction runs: enter the time interval (in milliseconds) at the end of which the component checks the status of the connections and destroys the idle ones.

• Min idle time for a connection to be eligible to eviction: enter the time interval (in milliseconds) at the end of which the idle connections are destroyed.

• Soft min idle time for a connection to be eligible to eviction: this parameter works the same way as Min idle time for a connection to be eligible to eviction but it keeps the minimum number of idle connections, the number you define in the Min number of idle connections field.

Usage rule

This component is used as an end component and requires an input link.

This component should use a tOracleConfiguration component present in the same Job to connect to Oracle. You need to select the Use an existing connection check box and then select the tOracleConfiguration component to be used.

This component, along with the Spark Streaming component Palette it belongs to, appears only when you are creating a Spark Streaming Job.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs.

Spark Connection

This connection is effective on a per-Job basis.