August 17, 2023

tAmazonMysqlOutput – Docs for ESB 5.x

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tAmazonMysqlOutput

tAmazonMysqlOutput_icon32_white.png

tAmazonMysqlOutput properties

Component family

Cloud/AmazonRDS/MySQL

  

Function

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

Purpose

tAmazonMysqlOutput 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.

Basic settings

Property type

Either Built-in or Repository.

Since version 5.6, both the Built-In mode and the Repository mode are
available in any of the Talend solutions.

 

 

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.

 

DB Version

MySQL 5 is available.

 

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

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, 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 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 quickly deleted. However, you will not be able to rollback the
operation.

 

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 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.

Replace: Add new entries to the
table. If an old row in the table has the same value as a new row
for a PRIMARY KEY or a UNIQUE index, the old row is deleted before
the new row is inserted.

Insert or update on duplicate key or unique
index: Add entries if the inserted value does not
exist or update entries if the inserted value already exists and
there is a risk of violating a unique index or primary key.

Insert Ignore: Add only new rows to
prevent duplicate key errors.

Warning

You must 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 name on which you want to
base the update operation. Do the same in the Key in delete column for the
deletion 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, i.e. it defines the number of
fields to be processed and passed on to the next component. The
schema is either Built-in or stored
remotely in the Repository.

Since version 5.6, both the Built-In mode and the Repository mode are
available in any of the Talend solutions.

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 https://help.talend.com/display/KB/Verifying+default+values+in+a+retrieved+schema.

 

Die on error

This check box is selected by default. Clear the check box to skip
the row in error and complete the process for error-free rows. If
needed, you can retrieve the rows in 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.

Note

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

 

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 specidied, 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.

Warning

If you are using this component with
tMysqlLastInsertID,
ensure that the Extend
Insert check box in Advanced Settings is not selected. Extend Insert allows for batch
loading, however, if the check box is selected, only the ID
of the last line of the last batch will be
returned.

 

Use batch size

Select this check box to activate the batch mode for data
processing. In the Batch Size field
that appears when this check box is selected, you can type in the
number you need to define the batch size to be processed.

Note

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

 

Commit every

Number of rows to be included in the batch before it is committed
to the DB. This option ensures transaction quality (but not
rollback) and, above all, a higher performance level.

 

Additional Columns

This option is not available if you have just created the DB table
(even if you delete it beforehand). This option allows you to call
SQL functions to perform actions on columns, provided that these are
not insert, update or delete actions, or actions that require
pre-processing.

 

 

Name: Type in the name of the
schema column to be altered or inserted.

 

 

SQL expression: Type in the SQL
statement to be executed in order to alter or insert the data in the
corrsponding column.

 

 

Position: Select Before, Replace or After,
depending on the action to be performed on the reference
column.

 

 

Reference column: Type in a
reference column that
tAmazonMysqlOutput can use to locate or replace the
new column, or the column to be modified.

 

Use field options

Select this check box to customize a request, particularly if
multiple actions are being carried out on the data.

 

Use Hint Options

Select this check box to activate the hint configuration area
which helps you optimize a query’s execution. In this area,
parameters are:

– HINT: specify the hint you
need, using the syntax

–
POSITION: specify where you put
the hint in a SQL statement.

– SQL STMT: select the SQL
statement you need to use.

 

Enable debug mode

Select this check box to display each step involved in the process
of writing data in the database.

 

Use duplicate key update mode insert

Updates the values of the columns specified, in the event of
duplicate primary keys.:

Column: Between double quotation
marks, enter the name of the column to be updated.

Value: Enter the action you want to
carry out on the column.

Note

To use this option you must first of all select the Insert mode in the Action on data list found in the
Basic Settings view.

 

tStatCatcher 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 more information on Dynamic settings and context
variables, see Talend Studio User Guide.

Global Variables

NB_LINE: the number of rows read by an input component or
transferred to an output component. 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.

QUERY: the SQL query statement processed. This is an After
variable and it returns a string.

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 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 MySQL
database. It also allows you to create a reject flow using a
Row > Rejects link to filter
data in error. For an example of tAmazonMysqlOutput in use, see Scenario 3: Retrieve data in error with a Reject link.

Log4j

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.

Scenario 1: Adding a new column and altering data in a DB table

This Java scenario is a three-component Job that aims at creating random data using a
tRowGenerator, duplicating a column to be altered
using the tMap component, and eventually altering the
data to be inserted based on an SQL expression using the tAmazonMysqlOutput component.

Setting up the Job

  1. Drop the following components from the Palette onto the design workspace: tRowGenerator, tMap and
    tAmazonMySQLOutput.

  2. Connect tRowGenerator, tMap, and tAmazonMysqlOutput using the Row
    Main     link.

    Use_Case_tAmazonMySQLOutput_1.png

Configuring the input component

  1. In the design workspace, select tRowGenerator to display its Basic
    settings     view.

    Use_Case_tMySQLOutput2.png

  2. Click
    the Edit schema three-dot button to define
    the data to pass on to the tMap component,
    two columns in this scenario, name and
    random_date.

    Use_Case_tMySQLOutput3.png

  3. Click OK to close the dialog box.

  4. Click the RowGenerator Editor three-dot
    button to open the editor and define the data to be generated.

    Use_Case_tMySQLOutput4.png

  5. Click in the corresponding Functions
    fields and select a function for each of the two columns,
    getFirstName for the first column and
    getrandomDate for the second column.

  6. In the Number of Rows for Rowgenerator
    field, enter 10 to generate ten first name rows and click Ok to close the editor.

Configuring the tMap component

  1. Double-click the tMap component to open
    the Map editor. The Map editor opens displaying the input metadata of
    the tRowGenerator component.

    Use_Case_tMySQLOutput5.png

  2. In the Schema editor panel of the Map
    editor, click the [+] button of the output
    table to add two rows and define the first as
    random_date and the second as
    random_date1.

    Use_Case_tMySQLOutput6.png

    In this scenario, we want to duplicate the
    random_date column and adapt the schema in order to
    alter the data in the output component.

  3. In the Map editor, drag the random_date row from the
    input table to the random_date and
    random_date1 rows in the output table.

    Use_Case_tMySQLOutput7.png

  4. Click OK to close the editor.

Configuring the output component

  1. In the design workspace, double-click the tAmazonMysqlOutput component to display its Basic settings view and set its
    parameters.

    Use_Case_tAmazonMySQLOutput_2.png

  2. Set Property Type to Repository and then click the […] button to open the [Repository content] dialog box and select the correct DB
    connection. The connection details display automatically in the
    corresponding fields.

    Note

    If you have not stored the DB connection details in the Metadata entry in the Repository, select Built-in on the property type list and set the
    connection detail manually.

  3. Click the […] button next to the
    Table field and select the table to be
    altered, Dates in this scenario.

  4. On the Action on table list, select
    Drop table if exists and create, select
    Insert on the Action on
    data     list.

  5. If needed, click Sync columns to
    synchronize with the columns coming from the tMap component.

  6. Click the Advanced settings tab to
    display the corresponding view and set the advanced parameters.

    Use_Case_tAmazonMySQLOutput_3.png

  7. In the Additional Columns area, set the
    alteration to be performed on columns.

    In this scenario, the One_month_later column
    replaces random_date_1. Also, the data itself gets
    altered using an SQL expression that adds one month to the randomly
    picked-up date of the random_date_1 column. ex:
    2007-08-12 becomes 2007-09-12.

    -Enter One_Month_Later in the Name cell.

    -In the SQL expression cell, enter the
    relevant addition script to be performed, "adddate(Random_date,
    interval 1 month)"     in this scenario.

    -Select Replace on the Position list.

    -Enter Random_date1 on the Reference column list.

    Note

    For this job we duplicated the random_date_1
    column in the DB table before replacing one instance of it with the
    One_Month_Later column. The aim of this
    workaround was to be able to view upfront the modification
    performed.

Job execution

Save your Job and press F6 to execute it.

The new One_month_later column replaces the
random_date1 column in the DB table and adds one month to
each of the randomly generated dates.

Use_Case_tMySQLOutput9.png

Related topic: see tDBOutput properties.

Scenario 2: Updating data in a database table

This Java scenario describes a two-component Job that updates data in a MySQL table
according to that in a delimited file.

Setting up the Job

  • Drop tFileInputDelimited and tAmazonMysqlOutput from the Palette onto the design workspace. Connect the two
    components together using a Row Main
    link.

    Use_Case_tAmazonMySQLOutput_4.png

Configuring the input component

  1. Double-click tFileInputDelimited to
    display its Basic settings view and define
    the component properties.

    Use_Case_tMySQLOutput12.png

  2. From the Property Type list, select
    Repository if you have already stored
    the metadata of the delimited file in the Metadata node in the Repository tree view. Otherwise, select Built-In to define manually the metadata of the
    delimited file.

    For more information about storing metadata, see Talend Studio
    User Guide    .

  3. In the File Name field, click the
    […] button and browse to the source
    delimited file that contains the modifications to propagate in the MySQL
    table.

    In this example, we use the customer_update file
    that holds four columns: id,
    CustomerName, CustomerAddress
    and idState. Some of the data in these four
    columns is different from that in the MySQL table.

    Use_Case_tMysqlOutput16.png

  4. Define the row and field separators used in the source file in the
    corresponding fields. If needed, set Header, Footer and Limit.

    In this example, Header is set to 1
    since the first row holds the names of columns, therefore it should be
    ignored. Also, the number of processed lines is limited to 2000.

  5. Select Built in from the Schema list then click the […] button next to Edit Schema
    to open a dialog box where you can describe the data structure of
    the source delimited file that you want to pass to the component that
    follows.

    Use_Case_tMySQLOutput13.png

  6. Select the Key check box(es) next to the
    column name(s) you want to define as key column(s).

    Note

    It is necessary to define at least one column as a key column for the
    Job to be executed correctly. Otherwise, the Job is automatically
    interrupted and an error message displays on the console.

Configuring the output component

  1. In the design workspace, double-click tAmazonMysqlOutput to open its Basic
    settings     view where you can define its properties.

    Use_Case_tMysqlOutput15.png

  2. Click Sync columns to retrieve the
    schema of the preceding component. If needed, click the […] button next to Edit
    schema     to open a dialog box where you can check the retrieved
    schema.

  3. From the Property Type list, select
    Repository if you have already stored
    the connection metadata in the Metadata
    node in the Repository tree view.
    Otherwise, select Built-In to define
    manually the connection information.

    For more information about storing metadata, see Talend Studio
    User Guide    .

  4. In the Table field, enter the name of
    the table to update.

  5. From the Action on table list, select
    the operation you want to perform, None in
    this example since the table already exists.

  6. From the Action on data list, select the
    operation you want to perform on the data, Update in this example.

Job execution

Save your Job and press F6 to execute it.

Use_Case_tMySQLOutput20.png

Using your DB browser, you can verify if the MySQL table,
customers, has been modified according to the delimited
file.

In the above example, the database table has always the four columns
id, CustomerName,
CustomerAddress and idState, but
certain fields have been modified according to the data in the delimited file
used.

Scenario 3: Retrieve data in error with a Reject link

This scenario describes a four-component Job that carries out migration from a
customer file to a MySQL database table and redirects data in error towards a CSV file
using a Reject link.

Use_Case_tAmazonMySQLOutput_5.png

Setting up the Job

  1. In the Repository, select the customer
    file metadata that you want to migrate and drop it onto the workspace. In
    the [Components] dialog box, select
    tFileInputDelimited and click OK. The component properties will be filled in
    automatically.

    If you have not stored the information about your customer file under the
    Metadata node in the Repository, drop a tFileInputDelimited component from the family File > Input,
    in the Palette, and fill in its properties
    manually in the Component tab.

  2. From the Palette, drop a tMap from the Processing family onto the workspace.

  3. In the Repository, expand the Metadata node, followed by the Db Connections node and select the connection
    required to migrate your data to the appropriate database. Drop it onto the
    workspace. In the [Components] dialog box,
    select tAmazonMysqlOutput and click
    OK. The database connection properties
    will be automatically filled in. For more information, see Talend Studio
    User Guide    .

    If you have not stored the database connection details under the Db Connections node in the Repository, drop a tAmazonMysqlOutput from the Databases family in the Palette and fill in its properties manually in the Component tab.

  4. From the Palette, select a tFileOutputDelimited from the File > Output
    family, and drop it onto the workspace.

  5. Link the customers component to the
    tMap component, and the tMap and Localhost with a Row Main
    link. Name this second link out.

  6. Link the Localhost to the tFileOutputDelimited using a Row > Reject
    link.

Configuring the input component

  1. Double-click the customers component to
    display the Component view.

    Use_Case_tMySQLOutput3_2.png

  2. In the Property Type list, select
    Repository and click the […] button in order to select the metadata
    containing the connection to your file. You can also select the Built-in mode and fill in the fields
    manually.

  3. Click the […] button next to the
    File Name field, and fill in the path
    and the name of the file you want to use.

  4. In the Row and Field Separator fields, type in between inverted commas the
    row and field separator used in the file.

  5. In the Header, Footer and Limit fields,
    type in the number of headers and footers to ignore, and the number of rows
    to which processing should be limited.

  6. In the Schema list, select Repository and click the […] button in order to select the schema of your file, if
    it is stored under the Metadata node in the
    Repository. You can also click the
    […] button next to the Edit schema field, and set the schema manually.

    The schema is as follows:

    Use_Case_tMySQLOutput3_3.png

Configuring the tMap component

  1. Double-click the tMap component to open
    its editor.

    Use_Case_tMySQLOutput3_4.png

  2. Select the id, CustomerName,
    CustomerAddress, idSate,
    id2, RegTime and
    RegisterTime columns on the table on the left and
    drop them on the out table, on the
    right.

    Use_Case_tMySQLOutput3_5.png

  3. In the Schema editor area, at the bottom
    of the tMap editor, in the right table,
    change the length of the CustomerName
    column to 28 to create an error. Thus, any data for
    which the length is greater than 28 will create errors, retrieved with the
    Reject link.

  4. Click OK. In the workspace, double-click
    the output Localhost component to display
    its Component view.

    Use_Case_tAmazonMySQLOutput_6.png

  5. In the Property Type list, select
    Repository and click the […] button to select the connection to the
    database metadata. The connection details will be automatically filled in.
    You can also select the Built-in mode and
    set the fields manually.

  6. In the Table field, type in the name of
    the table to be created. In this scenario, we call it
    customers_data. In the Action
    on data     list, select the Create
    table     option. Click the Sync
    columns     button to retrieve the schema from the previous
    component.

    Make sure the Die on error check box
    isn’t selected, so that the Job can be executed despite the error you just
    created.

  7. Click the Advanced settings tab of the
    Component view to set the advanced
    parameters of the component.

    Use_Case_tAmazonMySQLOutput_7.png

  8. Deselect the Extend Insert check box
    which enables you to insert rows in batch, because this option is not
    compatible with the Reject link.

Configuring the output component

  1. Double-click the tFileOutputDelimited
    component to set its properties in the Component view.

    Use_Case_tMySQLOutput3_8.png

  2. Click the […] button next to the
    File Name field to fill in the path and
    name of the output file. Click the Sync
    columns     button to retrieve the schema of the previous
    component.

Job execution

Save your Job and press F6 to execute it.

Use_Case_tMySQLOutput3_9.png

The data in error are sent to the delimited file, as well as the error type met.
Here, we have: Data truncation.

Scenario 4: Writing dynamic columns from a source file to a MySQL database

In this scenario we will read dynamic columns from a source file, map them and then
write them to a table in a MySQL database. By defining
a dynamic column alongside known column names, we can retrieve all of the columns from
the source file, including the unknown columns.

Setting up the Job

  1. Drop a tFileInputDelimited, a tMap and a tAmazonMysqlOutput component onto the workspace.

    Use_Case_tAmazonMySQLOutput_8.png

  2. Link tFileInputDelimited to tMap using a Row >
    Main     connection. Link tMap
    to tAmazonMysqlOutput using a Row > *New Output* (Main) connection.

Configuring the input component

  1. Double-click tFileInputDelimited to open
    its Basic Settings view in the Component tab.

    dynamic_schema_tFileInputDelimited_BasicSettings.png

    Warning

    The dynamic schema feature is only supported in
    Built-In mode.

  2. Select Built-In from the Property Type list. Click the […] button next to the File name/Stream field and browse to the input file.

  3. Enter the characters you want to use as separators next to the Row Separator and Field
    Separator     fields.

  4. Click Edit Schema to define the source
    file schema.

    The [Edit Schema] dialog box
    opens.

    dynamic_schema_tFileInputDelimited_Edit_Schema.png

  5. Add as many rows as required or delete rows using the plus_button.png and delete_button.png buttons and modify the order of the columns using the downward_arrow.png and upward_arrow.png buttons.

  6. Under Column, enter the names of each
    known column on separate rows and enter a name for the dynamic column under
    Column in the last row.

  7. Under Type, click the field to define
    the type of data in the corresponding column.

    Click the arrow to select the correct data type.

    Warning

    Under Type, the
    dynamic column type must be set as Dynamic.

    Warning

    The dynamic column must be defined in the last row of the
    schema.

  8. Click OK to close the dialog box when
    you have finished defining the source schema.

Configuring the tMap component

  1. Click tMap to open its Basic Settings view in the Component tab.

    dynamic_schema_tMap_Basic_Settings.png

  2. Click […] next to Map Editor to map the columns from the source
    file.

    dynamic_schema_tMap_Edit1.png

  3. On the toolbar on top of the Output
    Panel     on the top right of the window, click the [+] button.

    The [Add an Output] schema dialog box
    appears.

    dynamic_schema_Add_An_Output.png

  4. Next to New output, enter a name for the
    output schema. Click OK to close the dialog
    box.

  5. Using the Ctrl + click technique,
    highlight all off the column names in the input schema on the left and drop
    them onto the output schema.

    The columns dropped on the output columns retain their original values
    and they are automatically mapped on a one to one basis.

    dynamic_schema_tMap_Edit2.png

  6. In the output schema, click the relevant row under Expression if you want to use the Expression Builder to set advanced parameters for the
    corresponding column in the output. Click the […] button which appears to open the Expression Builder and set the parameters as
    required.

    For further information about using the Expression
    Builder    , see Talend Studio User
    Guide    .

    Warning

    The dynamic column must be mapped on a one to one basis and
    cannot undergo any transformations. It cannot be used in a filter
    expression or in a variables section. It cannot be renamed in the
    output table and cannot be used as a join condition.

  7. Click OK to close the Map Editor.

Configuring the output component

  1. Double-click tAmazonMysqlOutput to set
    its Basic Settings in the Component tab.

    Use_Case_tAmazonMySQLOutput_9.png

  2. Select Built-in as the Property Type and the DB
    Version     from the corresponding list. Enter the database
    server IP address and the listening port number of the database server next
    to Host and Port. Enter your authentication data in the Username and Password fields. Next to Action on
    table     and Action on data,
    select the required actions.

  3. Set the Schema type as Built-in and click Edit
    schema     to modify the schema if required.

Job execution

Save your Job and press F6 to execute it.

The table is written to the MySQL database along with the data and the column
names of the previously unknown columns:

dynamic_schema_mysql_database.png

Note

The Job can also be run in the Traces Debug
mode, which allows you to view the rows as they are written to the output file,
in the workspace.

For further information about defining and mapping dynamic schemas, see
Talend Studio User Guide.

For an example of how to write dynamic columns to an output file, see Scenario 4: Writing dynamic columns from a MySQL database to an output file.

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