Load EnterpriseDB Data to a Database Using Embulk

Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load EnterpriseDB data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for EnterpriseDB, Embulk easily loads data from EnterpriseDB to any supported destination. In this article, we explain how to use the CData JDBC Driver for EnterpriseDB in Embulk to load EnterpriseDB data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live EnterpriseDB data. When you issue complex SQL queries to EnterpriseDB, the driver pushes supported SQL operations, like filters and aggregations, directly to EnterpriseDB and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to EnterpriseDB Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for EnterpriseDB\lib).

Embulk supports JDBC connectivity, so you can easily connect to EnterpriseDB and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with EnterpriseDB.

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

Fill in the connection properties and copy the connection string to the clipboard.

Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

Below is a typical JDBC connection string for EnterpriseDB:


jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444

Load EnterpriseDB Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

Install the JDBC Input Plugin in Embulk.
https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc


embulk gem install embulk-input-jdbc

In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load EnterpriseDB data into MySQL using Embulk.

Create a Job to Load EnterpriseDB Data

Start by creating a config file in Embulk, using a name like enterprisedb-mysql.yml.

For the input plugin options, use the CData JDBC Driver for EnterpriseDB, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.enterprisedb.EnterpriseDBDriver), and the JDBC URL from above
For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (enterprisedb-mysql.yml)


in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.enterprisedb.jar
	driver_class: cdata.jdbc.enterprisedb.EnterpriseDBDriver
	url: jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444
	table: "Orders"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Orders"
	mode: insert

After creating the file, run the Embulk job.


embulk run enterprisedb-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered EnterpriseDB Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.


in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.enterprisedb.jar
	driver_class: cdata.jdbc.enterprisedb.EnterpriseDBDriver
	url: jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444
	query: "SELECT ShipName, ShipCity FROM Orders WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Orders"
	mode: insert

More Information & Free Trial

By using CData JDBC Driver for EnterpriseDB as a connector, Embulk can integrate EnterpriseDB data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.

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