tRedshiftOutput - 6.3

Talend Components Reference Guide

EnrichVersion
6.3
EnrichProdName
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Open Studio for Big Data
Talend Open Studio for Data Integration
Talend Open Studio for Data Quality
Talend Open Studio for ESB
Talend Open Studio for MDM
Talend Real-Time Big Data Platform
task
Data Governance
Data Quality and Preparation
Design and Development
EnrichPlatform
Talend Studio

Function

tRedshiftOutput executes the action defined on the table and/or on the data of a table, according to the input flow from the previous component.

Purpose

tRedshiftOutput allows you to write, update, modify or delete the data 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:

tRedshiftOutput properties

Component Family

Databases/Amazon/Redshift

 

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.

 

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:

  1. 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.

  2. 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.

 

Host

Hostname or IP address of the database server.

 

Port

Listening port number of the database server.

 

Database

Database name.

 

Schema

Exact name of the schema.

 

Username and Password

Database 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 JDBC properties for the connection you are creating. The properties are separated by ampersand & and each property is a key-value pair. For example, ssl=true & sslfactory=com.amazon.redshift.ssl.NonValidatingFactory, which means the connection will be created using SSL.

 

Table

Name of the table to which the data will 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 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, the operation will stop.

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.

 

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.

For more details, see the article Verifying default values in a retrieved schema on 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 through a Row > Rejects link.

Advanced settings

Extend Insert

Select this check box to carry out a bulk insert of a defined set of lines instead of inserting lines one by one. The gain in system performance is considerable.

Number of rows per insert: enter the number of rows to be inserted per operation. Note that the higher the value specified, the lower performance levels shall be due to the increase in memory demands.

Note

This option is not compatible with the Reject link. You should therefore clear the check box if you are using a Row > Rejects link with this component.

 

Use Batch

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

Note

This check box is available only when you have selected the Update or the Delete option in the Action on data field.

 

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.

 

Commit every

Enter the number of rows to be completed before committing batches of rows together into the database. 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.

 

 

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.

 

Use field options

Select this check box to customize a request, especially when there is double action on data.

 

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:

  • 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.

Warning

  • 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.

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 3: Reading data from MySQL 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.

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.

Usage

This component covers all possible SQL database queries. It allows you to carry out actions on a table or on the data of a table in an Amazon Redshift database. It enables you to create a reject flow, with a Row > Rejects link filtering the data in error. For a usage example, see Scenario 3: Retrieve data in error with a Reject link.

Log4j

If you are using a subscription-based version of the Studio, the activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User Guide.

For more information on the log4j logging levels, see the Apache documentation at http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

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. For details, see the article Installing External Modules on Talend Help Center (https://help.talend.com) how to configure the Studio in the Talend Installation Guide.

Related scenarios

For a related scenario, see Scenario: Handling data with Redshift.

tRedshiftOutput properties in Spark Batch Jobs

Component Family

Databases/Amazon Redshift

 

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.

 

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.

 

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.

 

Host

Enter the endpoint of the database you need to connect to in Redshift.

 

Port

Enter the port number of the database you need to connect to in Redshift.

The related information can be found in the Cluster Database Properties area in the Web console of your Redshift.

For further information, see Managing clusters console.

 

Username and Password

Enter the authentication information to the Redshift database you need to connect to.

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.

 

Database

Enter the name of the database you need to connect to in Redshift.

The related information can be found in the Cluster Database Properties area in the Web console of your Redshift.

For further information, see Managing clusters console.

 

Schema

Enter the name of the database schema to be used in Redshift. The default schema is called PUBLIC.

A schema in terms of Redshift is similar to a operating system directory. For further information about a Redshift schema, see Schemas.

 

Additional JDBC Parameters

Specify additional JDBC properties for the connection you are creating. The properties are separated by ampersand & and each property is a key-value pair. For example, ssl=true & sslfactory=com.amazon.redshift.ssl.NonValidatingFactory, which means the connection will be created using SSL.

 

S3 configuration

Select the tS3Configuration component from which you want Spark to use the configuration details to connect to S3.

You need drop the tS3Configuration component to be used alongside tRedshiftConfiguration in the same Job so that this tS3Configuration is displayed on the S3 configuration list.

 

S3 temp path

Enter the location in S3 in which the data to be transferred from or to Redshift is temporarily stored.

This path is independent of the temporary path you need to set in the Basic settings tab of tS3Configuration.

 

Table

Enter the name of the table to which the data will be written. Note that only one table can be written at a time.

If this table does not exist, you need to select Create from the Save mode list to allow tRedshiftOutput to create it.

 

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.

 

 

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.

 

Save mode

Select the actions you want tRedshiftOutput to perform on the specified table.

  • Create: tRedshiftOutput creates the specified table and writes data in this table.

  • Append: tRedshiftOutput appends data to an existing table.

  • Overwrite: tRedshiftOutput overwrites the data of the specified table.

    This overwrite impacts the availability of the target table. For this reason, if you need to keep this table highly available, you need to select the Use staging table check box in the Advanced settings tab to make tRedshiftOutput create and write data in a staging table and upon the success of this write, replace the target table with the staging one. With the staging table enabled, in case the write fails, the target table can be quickly restored.

Advanced settings

Distribution style

Select the distribution style to be applied by tRedshiftOutput on the data to be written.

For further information about each of the distribution style, see Distribution styles.

 

Define sort key

Select this check box to sort the data to be written based on given columns of the data.

Once selecting it, you need to select the column(s) to be used as the key(s) of the sort. For further information about the different type of sort keys, see Choosing sort keys.

 

Use staging table

Select the Use staging table check box to make tRedshiftOutput create and write data in a staging table and upon the success of this write, replace the target table with the staging one.

This feature is available only when you have selected Overwrite from the Save mode list and is recommended when you need to keep the target table of the overwrite highly available.

 

Define pre-actions

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed before tRedshiftOutput starts to write data.

For example, using the following statement, you remove all of the rows from the Movie table that meet the condition over the Movie and the Director tables.

delete from movie using director where movie.movieid=director.directorid;

 

Define post-actions

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed after tRedshiftOutput has successfully written data.

For example, using the following statement, you grant the Select privilege on the Movie table to the user ychen.

grant select on table movie to ychen;

 

Define extra copy options

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed along with the write of the data.

tRedshiftOutput uses the Copy statement of Redshift SQL to write data. The list of SQL statements you add here is actually appended to the Copy statement and so only the statements that make sense at the end of this Copy command should be used. For example, COMPUPDATE that is used to control whether compression encodings are automatically applied during the execution of a Copy.

For further information about the extra options you can choose, see Optional parameters.

 

Use Timestamp format for Date type

Select the check box to output dates, hours, minutes and seconds contained in your Date-type data. If you clear this check box, only years, months and days are outputted.

Usage in Spark Batch Jobs

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

This component should use a tRedshiftConfiguration component present in the same Job to connect to Redshift. You need to drop a tRedshiftConfiguration component alongside this component and configure the Basic settings of this component to use tRedshiftConfiguration.

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.

Log4j

If you are using a subscription-based version of the Studio, the activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User Guide.

For more information on the log4j logging levels, see the Apache documentation at http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

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, one and only one file system related component from the Storage family is required in the same Job so that Spark can use this component to connect to the file system to which the jar files dependent on the Job are transferred:

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.

tRedshiftOutput properties in Spark Streaming Jobs

Component Family

Databases/Amazon Redshift

 

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.

 

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.

 

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.

 

Host

Enter the endpoint of the database you need to connect to in Redshift.

 

Port

Enter the port number of the database you need to connect to in Redshift.

The related information can be found in the Cluster Database Properties area in the Web console of your Redshift.

For further information, see Managing clusters console.

 

Username and Password

Enter the authentication information to the Redshift database you need to connect to.

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.

 

Database

Enter the name of the database you need to connect to in Redshift.

The related information can be found in the Cluster Database Properties area in the Web console of your Redshift.

For further information, see Managing clusters console.

 

Schema

Enter the name of the database schema to be used in Redshift. The default schema is called PUBLIC.

A schema in terms of Redshift is similar to a operating system directory. For further information about a Redshift schema, see Schemas.

 

Additional JDBC Parameters

Specify additional JDBC properties for the connection you are creating. The properties are separated by ampersand & and each property is a key-value pair. For example, ssl=true & sslfactory=com.amazon.redshift.ssl.NonValidatingFactory, which means the connection will be created using SSL.

 

S3 configuration

Select the tS3Configuration component from which you want Spark to use the configuration details to connect to S3.

You need drop the tS3Configuration component to be used alongside tRedshiftConfiguration in the same Job so that this tS3Configuration is displayed on the S3 configuration list.

 

S3 temp path

Enter the location in S3 in which the data to be transferred from or to Redshift is temporarily stored.

This path is independent of the temporary path you need to set in the Basic settings tab of tS3Configuration.

 

Table

Enter the name of the table to which the data will be written. Note that only one table can be written at a time.

If this table does not exist, you need to select Create from the Save mode list to allow tRedshiftOutput to create it.

 

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.

 

 

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.

 

Save mode

Select the actions you want tRedshiftOutput to perform on the specified table.

  • Create: tRedshiftOutput creates the specified table and writes data in this table.

  • Append: tRedshiftOutput appends data to an existing table.

  • Overwrite: tRedshiftOutput overwrites the data of the specified table.

    This overwrite impacts the availability of the target table. For this reason, if you need to keep this table highly available, you need to select the Use staging table check box in the Advanced settings tab to make tRedshiftOutput create and write data in a staging table and upon the success of this write, replace the target table with the staging one. With the staging table enabled, in case the write fails, the target table can be quickly restored.

Advanced settings

Distribution style

Select the distribution style to be applied by tRedshiftOutput on the data to be written.

For further information about each of the distribution style, see Distribution styles.

 

Define sort key

Select this check box to sort the data to be written based on given columns of the data.

Once selecting it, you need to select the column(s) to be used as the key(s) of the sort. For further information about the different type of sort keys, see Choosing sort keys.

 

Use staging table

Select the Use staging table check box to make tRedshiftOutput create and write data in a staging table and upon the success of this write, replace the target table with the staging one.

This feature is available only when you have selected Overwrite from the Save mode list and is recommended when you need to keep the target table of the overwrite highly available.

 

Define pre-actions

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed before tRedshiftOutput starts to write data.

For example, using the following statement, you remove all of the rows from the Movie table that meet the condition over the Movie and the Director tables.

delete from movie using director where movie.movieid=director.directorid;

 

Define post-actions

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed after tRedshiftOutput has successfully written data.

For example, using the following statement, you grant the Select privilege on the Movie table to the user ychen.

grant select on table movie to ychen;

 

Define extra copy options

Select this check box and in the field that is displayed, add a semicolon-separated(;) list of SQL statements that are executed along with the write of the data.

tRedshiftOutput uses the Copy statement of Redshift SQL to write data. The list of SQL statements you add here is actually appended to the Copy statement and so only the statements that make sense at the end of this Copy command should be used. For example, COMPUPDATE that is used to control whether compression encodings are automatically applied during the execution of a Copy.

For further information about the extra options you can choose, see Optional parameters.

 

Use Timestamp format for Date type

Select the check box to output dates, hours, minutes and seconds contained in your Date-type data. If you clear this check box, only years, months and days are outputted.

Usage in Spark Streaming Jobs

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

This component should use a tRedshiftConfiguration component present in the same Job to connect to Redshift. You need to drop a tRedshiftConfiguration component alongside this component and configure the Basic settings of this component to use tRedshiftConfiguration.

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.

Log4j

If you are using a subscription-based version of the Studio, the activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User Guide.

For more information on the log4j logging levels, see the Apache documentation at http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

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, one and only one file system related component from the Storage family is required in the same Job so that Spark can use this component to connect to the file system to which the jar files dependent on the Job are transferred:

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.