tELTOracleMap
Builds the SQL SELECT statement using the table schema(s) provided by one or more
tELTOracleInput components.
The three ELT Oracle components are closely related, in
terms of their operating conditions. These components should be used to handle Oracle
database table schemas to generate SQL statements, including clauses, which are to be
executed in the database output table defined.
tELTOracleMap Standard properties
These properties are used to configure tELTOracleMap running in the Standard Job framework.
The Standard
tELTOracleMap component belongs to the ELT family.
The component in this framework is available in all Talend
products.
Basic settings
Use an existing connection |
Select this check box and in the Component List click the relevant connection component to 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:
For an example about how to share a database connection |
ELT Oracle Map Editor |
The ELT Map editor allows you to define the output schema and make a |
Style link |
Auto: By default, the links between
Bezier curve: Links between the schema
Line: Links between the schema and the This option slightly optimizes performance. |
Property type |
Either Built-in or Repository. |
 |
Built-in: No property data stored |
 |
Repository: Select the Repository |
Connection type |
Drop-down list of the available drivers. |
DB Version |
Select the Oracle version you are using. |
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 |
Mapping |
Automatically set mapping parameter. |
Advanced settings
Additional JDBC Parameters |
Specify additional connection properties for the DB connection you are |
Use Hint Options |
Select this check box to activate the hint configuration area to help – HINT: specify the hint you need, – SQL STMT: select the SQL statement |
tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at a Job |
Global Variables
Global Variables |
ERROR_MESSAGE: the error message generated by the A Flow variable functions during the execution of a component while an After variable To fill up a field or expression with a variable, press Ctrl + For further information about variables, see |
Usage
Usage rule |
tELTOracleMap is used along with a Note:
Note that the ELT components do not handle actual data flow but |
Dynamic settings |
Click the [+] button to add a row in the table The Dynamic settings table is For examples on using dynamic parameters, see Reading data from databases through context-based dynamic connections and Reading data from different MySQL databases using dynamically loaded connection parameters. For more information on Dynamic |
Updating Oracle database entries
This scenario is based on the data aggregation scenario,
Aggregating table columns and filtering. As the data update action is
available in Oracle database, this scenario describes a Job that updates particular data
in the Agg_Result table.

Adding components
As described in Aggregating table columns and filtering, configure a Job for data aggregation using the corresponding ELT components for
Oracle database – tELTOracleInput,
tELTOracleMap, and tELTOracleOutput.
Execute the Job to save the aggregation result in a database table named
Agg_Result.
When defining filters in the ELT Map editor, note that strings are
case sensitive in Oracle database.
-
Launch the ELT Map editor and add a new output table named
update_data. -
Add a filter row to the update_data table to set up a
relationship between input and output tables:owners.ID_OWNER =
.
agg_result.ID_OWNER -
Drop the MAKE column from the cars table to the
update_data table. -
Drop the NAME_RESELLER column from the resellers table
to the update_data table. -
Add a model enclosed in single quotation marks, 'A8' in
this use case, to the MAKE column from the cars table,
preceded by a double pipe. -
Add Sold by enclosed in single quotation marks in front
of the NAME_RESELLER column from the resellers table, with a double pipe in
between. -
Check the Generated SQL select query tab
to be executed. -
Click OK to validate the changes in the
ELT Mapper. -
Deactivate the tELTOracleOutput
component labeled Agg_Result by right-clicking it and
selecting Deactivate Agg_Result from the
contextual menu. -
Drop a new tELTOracleOutput component
from the Palette to the design workspace,
and label it Update_Data to better identify its
functionality. -
Connect the tELTOracleMap component to
the new tELTOracleOutput component using
the link corresponding to the new output table defined in the ELT Mapper,
update_data in this use case. -
Double-click the new tELTOracleOutput
component to display its Basic settings
view. -
From the Action on data list, select
Update. -
Check the schema, and click Sync columns
to retrieve the schema structure from the preceding component if
necessary. -
In the WHERE clauses area, add a clause
that readsagg_result.MAKE = 'Audi'
to update
data relating to the make of Audi in the database table
agg_result. -
Fill the Default Table Name field with
the name of the output link, update_data in this use
case. -
Select the Use different table name
check box, and fill the Table name field
with the name of the database table to be updated,
agg_result in this use case. Leave the other
parameters as they are.
Running the Job
- Save your Job.
-
Click Run to execute the Job.
The relevant data in the database table is updated as
defined:
Related scenario
-
Mapping data using a subquery, a related scenario using subquery
-
Aggregating Snowflake data using context variables as table and connection names