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Get the Report →How to Work with EnterpriseDB Data in ETL Validator JDBC
Connect to EnterpriseDB from ETL Validator jobs using the CData JDBC Driver.
ETL Validator provides data movement and transformation capabilities for integrating data platforms across your organization. CData's JDBC driver seamlessly integrates with ETL Validator and extends its native connectivity to include EnterpriseDB data.
This tutorial walks through the process of building a simple ETL validator data flow to extract data from EnterpriseDB data and load it into an example data storage solution: SQL Server.
Add a new ETL Validator data source via CData
CData extends ETL Validator's data connectivity capabilities by providing the ability to add data sources that connect via CData's JDBC drivers. Connecting to EnterpriseDB data simply requires creating a new data source in ETL Validator through CData's connectiviy suite as described below.
Login to ETL Validator
Begin by logging into ETL Validator to view the application dashboard.
Click on Add a DataSource
CData extends the data source options within ETL Validator.
Click on CData
CData's connectivity is embedded within ETL Validator's data source options.
Configure the CData Driver Connection String
You will need a JDBC connection string to establish a connection to EnterpriseDB in ETL Validator.
The following connection properties are required in order to connect to data.
- Server: The host name or IP of the server hosting the EnterpriseDB database.
- Port: The port of the server hosting the EnterpriseDB database.
You can also optionally set the following:
- Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.
Connect Using Standard Authentication
To authenticate using standard authentication, set the following:
- User: The user which will be used to authenticate with the EnterpriseDB server.
- Password: The password which will be used to authenticate with the EnterpriseDB server.
Connect Using SSL Authentication
You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:
- SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
- SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSLClientCertType: The certificate type of the client store.
- SSLServerCert: The certificate to be accepted from the server.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the EnterpriseDB JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.enterprisedb.jar
A typical connection string looks like this:
jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444
Licensing the Driver
To ensure the JDBC driver is licensed appropriately, copy the license file to the appropriate location:
Copy the JDBC Driver for EnterpriseDB and lic file from "C:\Program Files\CData[product_name]\lib" to
"C:\Datagaps\ETLValidator\Server\apache-tomcat\bin".
cdata.jdbc.enterprisedb.jar
cdata.jdbc.enterprisedb.lic
Note: If you do not copy the .lic file with the jar, you will see a licensing error that indicates you do not have a valid license installed. This is true for both the trial and full versions.
Save the connection
Should you encounter any difficulties loading the CData JDBC driver class, please contact DataGap's team, and they will provide you instructions on how to load the jar file for the relevant driver.
Add SQL Server as a Target
This example will use SQL Server as a destination for EnterpriseDB data data, but any preferred destination can be used instead.
Go to DataSources and select MS_SQL_SERVER
This option is the default.
Fill in the necessary connection details and test the connection
The details will depend on the specific target, but these details may include a URL, authentiation credentials, etc.
Create a Dataflow in ETL Validator
Open the Dataflows tab
Configured data flows will appear in this window.
Select Create Dataflow
Name your new dataflow and save it.
Open the Dataflow to view the Dataflow Diagram
The details of the data movement will be configured in this panel.
Drag & drop the JDBC as a source from the right side
Give the new source an appropriate name and save it.
Fill in the Query section of the new source
Select the Table from the Schema option that reflects which data should be pulled from EnterpriseDB data.
View the expected results of your query
The anticipated outcome of the configured query is displayed in the Result tab.
Add the destination to the Dataflow
Select Switch to Diagram, then drag & drop the DB Sink as a target from the right side (under Sink options). Give the sink an appropriate name and save it.
Set the appropriate Schema for the destination
Choose the Schema and table that matches the structure of the source table. For this example, the table on the target side was created to match the Source so that data flow seamlessly. More advanced schema transformation operations are beyond the scope of this article.
Hit the RUN option to begin replication
Running the job will take some time.
View the finished Dataflow
Return to the diagram to see the finished data replication job from EnterpriseDB data to SQL Server.
Get Started Today
Download a free, 30-day trial of the CData JDBC Driver for EnterpriseDB and start building EnterpriseDB-connected applications with ETL Validator. Reach out to our Support Team if you have any questions.