August 16, 2023

tOracleConfiguration – Docs for ESB 6.x

tOracleConfiguration

Stores connection information and credentials to be reused by other Oracle
components.

You configure the connection to a Oracle database in tOracleConfiguration and configure the other
Oracle components to reuse this configuration. At runtime, the Spark
executors read this configuration in order to connect to Oracle.

Depending on the Talend solution you
are using, this component can be used in one, some or all of the following Job
frameworks:

tOracleConfiguration properties for Apache Spark Batch

These properties are used to configure tOracleConfiguration running in the Spark Batch Job framework.

The Spark Batch
tOracleConfiguration component belongs to the Storage and the Databases families.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

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 version of the Oracle database to be used.

Use tns file

Select this check box to use the metadata of a context included in a tns file.

Note that one tns file may have many contexts.

TNS File: Enter the path to the tns file manually or
browse to the file by clicking the […] button next to the
field.

Select a DB Connection in Tns File: Click the […] button to display all the contexts held in the tns file and
select the desired one.

Host

Enter the IP address of the database server.

Port

Enter the listening port number of the database server.

Database

Enter the name of the database to be used.

Schema

Enter the name of the schema.

Username and Password

Enter the user authentication data.

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.

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.

Advanced settings

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

Usage rule

This component is used with no need to be connected to other components.

The configuration in a tOracleConfiguration component
applies only on the Oracle related components in the same Job. In other words, the Oracle
components used in a child or a parent Job that is called via tRunJob cannot reuse this configuration.

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

You need to use the Spark Configuration tab in
the Run view to define the connection to a given
Spark cluster for the whole Job. In addition, since the Job expects its dependent jar
files for execution, you must specify the directory in the file system to which these
jar files are transferred so that Spark can access these files:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.

Related scenarios

For a scenario about how to use the same type of component in a Spark Batch Job, see Writing and reading data from MongoDB using a Spark Batch Job.

tOracleConfiguration properties for Apache Spark Streaming

These properties are used to configure tOracleConfiguration running in the Spark Streaming Job framework.

The Spark Streaming
tOracleConfiguration component belongs to the Storage and the Databases families.

The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.

Basic settings

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

Repository: Select the repository file where the
properties are stored.

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 version of the Oracle database to be used.

Use tns file

Select this check box to use the metadata of a context included in a tns file.

Note that one tns file may have many contexts.

TNS File: Enter the path to the tns file manually or
browse to the file by clicking the […] button next to the
field.

Select a DB Connection in Tns File: Click the […] button to display all the contexts held in the tns file and
select the desired one.

Host

Enter the IP address of the database server.

Port

Enter the listening port number of the database server.

Database

Enter the name of the database to be used.

Schema

Enter the name of the schema.

Username and Password

Enter the user authentication data.

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.

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.

Advanced settings

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

Usage rule

This component is used with no need to be connected to other components.

The configuration in a tOracleConfiguration component
applies only on the Oracle related components in the same Job. In other words, the Oracle
components used in a child or a parent Job that is called via tRunJob cannot reuse this configuration.

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

You need to use the Spark Configuration tab in
the Run view to define the connection to a given
Spark cluster for the whole Job. In addition, since the Job expects its dependent jar
files for execution, you must specify the directory in the file system to which these
jar files are transferred so that Spark can access these files:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.

Related scenarios

For a scenario about how to use the same type of component in a Spark Streaming Job, see
Reading and writing data in MongoDB using a Spark Streaming Job.


Document get from Talend https://help.talend.com
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