Load Sybase Data to a Database Using Embulk

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

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

Configure a JDBC Connection to Sybase 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 Sybase\lib).

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

To connect to Sybase, specify the following connection properties:

• Server: Set this to the name or network address of the Sybase database instance.
• Database: Set this to the name of the Sybase database running on the specified Server.

Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.

Sybase supports several methods for authentication including Password and Kerberos.

Connect Using Password Authentication

Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.

• User: Set this to the username of the authenticating Sybase user.
• Password: Set this to the username of the authenticating Sybase user.

Connect using LDAP Authentication

To connect with LDAP authentication, configure Sybase server-side to use the LDAP authentication mechanism.

After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.

Connect Using Kerberos Authentication

To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos. See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.

You can find an example connection string below:

Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Sybase JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.sybase.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 Sybase:

jdbc:sybase:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;Charset=iso_1;

Load Sybase 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

1. 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

2. 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 Sybase data into MySQL using Embulk.

Create a Job to Load Sybase Data

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

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

Sample Config File (sybase-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.sybase.jar
	driver_class: cdata.jdbc.sybase.SybaseDriver
	url: jdbc:sybase:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;Charset=iso_1;
	table: "Products"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Products"
	mode: insert

After creating the file, run the Embulk job.

embulk run sybase-mysql.yml

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

Load Filtered Sybase 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.sybase.jar
	driver_class: cdata.jdbc.sybase.SybaseDriver
	url: jdbc:sybase:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;Charset=iso_1;
	query: "SELECT Id, ProductName FROM Products WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Products"
	mode: insert

More Information & Free Trial

By using CData JDBC Driver for Sybase as a connector, Embulk can integrate Sybase 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.