Register an ODBC Extractor

On the Management Console, select the

Extractor Info

tab.

The Extractor list is displayed.

Click the Add [+] icon.

The

Extractor Info Detail

page is displayed.

Provide a unique name for your Extractor. The Source Name works as the identifier for your extractor. You can search for an extractor with the Source Name. By default, DataMosaix generates a source name.

Source Name example: EXT_1406230728_createproject_v1.

Here, EXT stands for extractor, 140623 is the date in ddmmyy format, 0728 is the timestamp in hhmm format, and createproject_v1 is the project in which you are currently working. You can use the default source name or create your own.

Provide the location details for which you are creating the extractor. This information can help you to identify an extractor when you have many extractors for different plants/sites/locations.

From the

Associated Roles

drop-down list, select at least one role. You can refer to various roles and capabilities by clicking

Role Reference

.

You can select multiple roles from the Associated Roles drop-down list. In the search bar, you can search for any specific role from the list. If you want to apply all the roles to the application, select the

Select All

checkbox.

Next, you can select a pipeline or create a new pipeline. When you create a new pipeline, you have the option of selecting from an existing dataset or creating a new dataset.

From the pipeline drop-down, select a pipeline. On selecting a pipeline, the Pipeline External ID and Dataset Name fields are generated.

To create a new pipeline, select the

+ Create Pipeline

option.

The Create Pipeline dialog box is displayed.

Provide the following Pipeline information to create a new pipeline:

When you create a pipeline, you can either select an existing dataset or create a new dataset. Select a Dataset from the drop-down if you want to use an existing Dataset.

If you choose to create a new Dataset, the Dataset related fields are displayed. Provide the following dataset information:

Click

Add

. Based on the options you choose (select or create), the Pipeline and Dataset information is either generated or created and displayed on the Extractor Info Detail page.

Select the source type of extractor as ODBC.

The fields relevant to the ODBC extractor appear on the screen for you to fill in details.

In the

Table

field, provide a table name. If this table does not exist, it will be created inside the database that is created in step 7.

In the

Primary key

field, provide a primary key for the table. For example, ID

In the

Raw database

field, provide a database name. If this database does not exist, the database is created in the cdf project.

In the

Query

field, enter a query to fetch records.

In the

Connection string

field, enter the ODBC connection string to establish the connection.

Click

Save and Apply

.

The

Generated info Saved

dialog box is displayed and it contains the configuration information. You can view the configuration file details by clicking

View generated configuration file

. Alternatively, you can also copy and save the information for future use by clicking Copy All. More importantly, you can download the .yml file that includes all the configuration information that you can use to run the extractor.

Click

Download

.

The .yml file is downloaded in the Downloads folder of your local machine.

Click

Close

to close the dialog box.

The new extractor is displayed under Extractor Listing.

Navigate to your project in CDF by clicking [Continue to Main Site] and select

Integrate

>

Prepare data for transformation

.

Click

Create Database

.

Click

Create table

. Provide a unique name for the table. The table name cannot be changed later.

Select

Create empty table

and click

Create

.

Download the extractor to your local machine.

Copy the downloaded .yml file to the folder where the extractor is installed.

Run the extractor on the command line.

Once the extractor has been configured and executed successfully, navigate to your project in CDF and open the pipeline you created earlier.

Click the pipeline link to verify the pipeline run details.

Select

Integrate

>

Prepare data for transformation

to verify if the data is inserted into the table.