tTeradataOutput

Executes the action defined on the table and/or on the data contained in the table,
based on the flow incoming from the preceding component in the job.

tTeradataOutput writes, updates, makes
changes or suppresses entries in a database.

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

Standard: see tTeradataOutput Standard properties.

The component in this framework is generally available.
MapReduce: see tTeradataOutput MapReduce properties.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.
Spark Batch: see tTeradataOutput properties for Apache Spark Batch.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.
Spark Streaming: see tTeradataOutput properties for Apache Spark Streaming.

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

tTeradataOutput Standard properties

These properties are used to configure tTeradataOutput running in the Standard Job framework.

The Standard
tTeradataOutput component belongs to the Databases family.

The component in this framework is generally available.

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.
Use an existing connection	Select this check box and in the Component List click the relevant connection component to reuse the connection details you already defined. Note: When a Job contains the parent Job and the child Job, if you need to share an existing connection between the two levels, for example, to share the connection created by the parent Job with the child Job, you have to: In the parent level, register the database connection to be shared in the Basic settings view of the connection component which creates that very database connection. In the child level, use a dedicated connection component to read that registered database connection. For an example about how to share a database connection across Job levels, see Talend Studio User Guide.
	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.
Host	Database server IP address
Database	Name of the database
Username and Password	DB 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.
Table	Name of the table to be written. Note that only one table can be written at a time.
Action on table	Note: The Action on table list will not be available if you select the Enable parallel execution check box in the Advanced settings view. 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.
Create	This is not visible by default, until you choose to create a table from the Action on table drop-down list. The table to be created may be: – SET TABLE: tables which do not allow to duplicate – MULTI SET TABLE: tables allowing duplicate rows.
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. Insert or update: Insert a new record. If the record with the given reference already exists, an update would be made. Update or insert: Update the record with the given reference. If the record does not exist, a new record would be inserted. Delete: Remove entries corresponding to the input flow. Warning: 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. Note: The dynamic schema feature can be used in the following modes: Insert; Update; Insert or update; Update or insert; Delete.
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. The schema is either Built-In or stored remotely in the Repository. This component offers the advantage of the dynamic schema feature. This allows you to retrieve unknown columns from source files or to copy batches of columns from a source without mapping each column individually. For further information about dynamic schemas, see Talend Studio User Guide. This dynamic schema feature is designed for the purpose of retrieving unknown columns of a table and is recommended to be used for this purpose only; it is not recommended for the use of creating tables.
	Built-In: You create and store the schema locally for this component only. Related topic: see Talend Studio User Guide.
	Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. Related topic: see Talend Studio User Guide. 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. You can find more details about how to verify default values in retrieved schema in Talend Help Center (https://help.talend.com).
	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.
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 connection properties for the DB connection you are creating. This option is not available if you have selected the Use an existing connection check box in the Basic settings. This is intended to allow specific character set support. E.G.: CHARSET=KANJISJIS_OS to get support of Japanese characters. Note: You can press Ctrl+Space to access a list of predefined global variables.
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. This option is not available if you have selected the Use an existing connection check box in the Basic settings view. Note: If you have selected Drop and create table, Create table, Create table if does not exist or Drop table if exists and create from the Action on table list in the Basic settings view, you need to enter 0 in this field to ensure the validity of the SQL statements. For more information about the validity of the SQL statements in Teradata Database, see teradata.
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.
	Name: Type in the name of the schema column to be altered or inserted as new column
	SQL expression: Type in the SQL statement to be executed in order to alter or insert the relevant column data.
	Position: Select Before, Replace or After following the action to be performed on the reference column.
	Reference column: Type in a column of reference that the tDBOutput can use to place or replace the new or altered column.
Query band	Select this check box to use the Teradata Query Banding feature to add metadata to the query to be processed, such as the user running the query. This can help you, for example, identify the origin of this query. Once selecting the check box, the Query Band parameters table is displayed, in which you need to enter the metadata information to be added. This information takes the form of key/value pairs, for example, DpID in the Key column and Finance in the Value column. This check box actually generates the SET QUERY_BAND FOR SESSION statement with the key/value pairs declared in the Query Band parameters table. For further information about this statement, see http://www.info.teradata.com/HTMLPubs/DB_TTU_14_00/index.html#page/SQL_Reference/B035_1144_111A/End_Logging-Syntax.027.143.html. This check box is not available when you have selected the Using an existing connection check box. In this situation, if you need to use the Query Band feature, set it in the Advanced settings tab of the Teradata connection component to be used.
Use field options	Select this check box to customize a request, especially when there is double action on data.
Enable debug mode	Select this check box to display each step during processing entries in a database.
tStatCatcher Statistics	Select this check box to collect log data at the component level.
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.
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: Enter the number of parallel executions desired. Press Ctrl + Space and select the appropriate context variable from the list. For further information, see Talend Studio User Guide. Note that when parallel execution is enabled, it is not possible to use global variables to retrieve return values in a subjob. The Action on table field is not available with the parallelization function. Therefore, you must use a tCreateTable component if you want to create a table. When parallel execution is enabled, it is not possible to use global variables to retrieve return values in a subjob.

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. A Flow variable functions during the execution of a component while an After variable functions after the execution of the component. 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 further information about variables, see Talend Studio User Guide.

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.

A Flow variable functions during the execution of a component while an After variable
functions after the execution of the component.

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 further information about variables, see
Talend Studio

User Guide.

Usage

Usage rule	This component offers the flexibility benefit of the DB 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 Teradata database. It also allows you to create a reject flow using a Row > Rejects link to filter data in error.
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 Scenario: Reading data from databases through context-based dynamic connections and Scenario: 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.
Limitation	Due to license incompatibility, one or more JARs required to use this component are not provided. You can install the missing JARs for this particular component by clicking the Install button on the Component tab view. You can also find out and add all missing JARs easily on the Modules tab in the Integration perspective of your studio. You can find more details about how to install external modules in Talend Help Center (https://help.talend.com).

Usage rule

This component offers the flexibility benefit of the DB 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 Teradata database. It also
allows you to create a reject flow using a Row
> Rejects link to filter data in error.

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 Scenario: Reading data from databases through context-based dynamic connections and Scenario: 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.

Limitation

Due to license incompatibility, one or more JARs required to use this component are not
provided. You can install the missing JARs for this particular component by clicking the
Install button on the Component tab view. You can also find out and add all missing JARs easily on the
Modules tab in the
Integration
perspective of your
studio. You can find more details about how to install external modules in Talend Help Center (https://help.talend.com).

Related scenarios

For related topics, see:

tTeradataOutput MapReduce properties

These properties are used to configure tTeradataOutput running in the MapReduce Job framework.

The MapReduce
tTeradataOutput component belongs to the Databases family.

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 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 Talend Studio User Guide.
Host	Database server IP address
Database	Name of the database
Username and Password	DB 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.
Table	Name of the table to be written. Note that only one table can be written at a time.
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. The schema is either Built-In or stored remotely in the Repository.
	Built-In: You create and store the schema locally for this component only. Related topic: see Talend Studio User Guide.
	Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. Related topic: see Talend Studio User Guide. 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. You can find more details about how to verify default values in retrieved schema in Talend Help Center (https://help.talend.com).
	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.
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 Row > Reject link.

Advanced settings

Additional JDBC parameters	Specify additional connection properties for the DB connection you are creating. This is intended to allow specific character set support. E.G.: CHARSET=KANJISJIS_OS to get support of Japanese characters. Note: You can press Ctrl+Space to access a list of predefined global variables.
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.

Additional JDBC parameters

Specify additional connection properties for the DB connection you are creating.

This is intended to allow specific character set support. E.G.:
CHARSET=KANJISJIS_OS to get support of Japanese characters.

Note:

You can press Ctrl+Space to
access a list of predefined global variables.

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.

Usage

Usage rule	In a Talend Map/Reduce Job, it is used as an end component and requires a transformation component as input link. The other components used along with it must be Map/Reduce components, too. They generate native Map/Reduce code that can be executed directly in Hadoop. Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs, and non Map/Reduce Jobs.
Hadoop Connection	You need to use the Hadoop Configuration tab in the Run view to define the connection to a given Hadoop distribution for the whole Job. This connection is effective on a per-Job basis.
Limitation	Due to license incompatibility, one or more JARs required to use this component are not provided. You can install the missing JARs for this particular component by clicking the Install button on the Component tab view. You can also find out and add all missing JARs easily on the Modules tab in the Integration perspective of your studio. You can find more details about how to install external modules in Talend Help Center (https://help.talend.com).

Usage rule

In a
Talend
Map/Reduce Job, it is used as an end component and requires
a transformation component as input link. The other components used along with it must be
Map/Reduce components, too. They generate native Map/Reduce code that can be executed
directly in Hadoop.

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

Hadoop Connection

You need to use the Hadoop Configuration tab in the
Run view to define the connection to a given Hadoop
distribution for the whole Job.

This connection is effective on a per-Job basis.

Limitation

Related scenarios

No scenario is available for the Map/Reduce version of this component yet.

tTeradataOutput properties for Apache Spark Batch

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

The Spark Batch
tTeradataOutput component belongs to the Databases family.

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.
Use an existing configuration	Select this check box and in the Component List click the relevant connection component to reuse the connection details you already defined.
	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.
Host	Database server IP address
Database	Name of the database
Username and Password	DB 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.
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. Insert or update: Insert a new record. If the record with the given reference already exists, an update would be made. Update or insert: Update the record with the given reference. If the record does not exist, a new record would be inserted. Delete: Remove entries corresponding to the input flow.
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. The schema is either Built-In or stored remotely in the Repository.
	Built-In: You create and store the schema locally for this component only. Related topic: see Talend Studio User Guide.
	Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. Related topic: see Talend Studio User Guide. 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. You can find more details about how to verify default values in retrieved schema in Talend Help Center (https://help.talend.com).
	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.
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 connection properties for the DB connection you are creating. This option is not available if you have selected the Use an existing connection check box in the Basic settings. This is intended to allow specific character set support. E.G.: CHARSET=KANJISJIS_OS to get support of Japanese characters. Note: You can press Ctrl+Space to access a list of predefined global variables.
Use batch per partition	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

Usage rule	This component is used as an end component and requires an input link. This component should use a tTeradataConfiguration component present in the same Job to connect to Oracle. You need to select the Use an existing configuration check box and then select the tTeradataConfiguration component to be used. 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.

Usage rule

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

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

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.

tTeradataOutput properties for Apache Spark Streaming

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

The Spark Streaming
tTeradataOutput component belongs to the Databases family.

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.
Use an existing configuration	Select this check box and in the Component List click the relevant connection component to reuse the connection details you already defined.
	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.
Host	Database server IP address
Database	Name of the database
Username and Password	DB 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.
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. Insert or update: Insert a new record. If the record with the given reference already exists, an update would be made. Update or insert: Update the record with the given reference. If the record does not exist, a new record would be inserted. Delete: Remove entries corresponding to the input flow.
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. The schema is either Built-In or stored remotely in the Repository.
	Built-In: You create and store the schema locally for this component only. Related topic: see Talend Studio User Guide.
	Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. Related topic: see Talend Studio User Guide. 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. You can find more details about how to verify default values in retrieved schema in Talend Help Center (https://help.talend.com).
	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.
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 connection properties for the DB connection you are creating. This option is not available if you have selected the Use an existing connection check box in the Basic settings. This is intended to allow specific character set support. E.G.: CHARSET=KANJISJIS_OS to get support of Japanese characters. Note: You can press Ctrl+Space to access a list of predefined global variables.
Use batch per partition	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

Usage rule	This component is used as an end component and requires an input link. This component should use a tTeradataConfiguration component present in the same Job to connect to Oracle. You need to select the Use an existing configuration check box and then select the tTeradataConfiguration component to be used. 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.

Usage rule

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

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

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

Thank you for watching.

Docs 6.x

0 Comments

Inline Feedbacks

View all comments

tTeradataOutput – Docs for ESB 6.x

tTeradataOutput

tTeradataOutput Standard properties

Basic settings

Advanced settings

Global Variables

Usage

Related scenarios

tTeradataOutput MapReduce properties

Basic settings

Advanced settings

Usage

Related scenarios

tTeradataOutput properties for Apache Spark Batch

Basic settings

Advanced settings

Usage

Related scenarios

tTeradataOutput properties for Apache Spark Streaming

Basic settings

Advanced settings

Usage

Related scenarios

My Website Links

Tags