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Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Apache Cassandra, Embulk easily loads data from Cassandra to any supported destination. In this article, we explain how to use the CData JDBC Driver for Apache Cassandra in Embulk to load Cassandra data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Cassandra data. When you issue complex SQL queries to Cassandra, the driver pushes supported SQL operations, like filters and aggregations, directly to Cassandra and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
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 Apache Cassandra\lib).
Embulk supports JDBC connectivity, so you can easily connect to Cassandra and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Cassandra.
Set the Server, Port, and Database connection properties to connect to Cassandra. Additionally, to use internal authentication set the User and Password connection properties.
For assistance in constructing the JDBC URL, use the connection string designer built into the Cassandra JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.cassandra.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 Cassandra:
jdbc:cassandra:Database=MyCassandraDB;Port=7000;Server=127.0.0.1;
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
embulk gem install embulk-input-jdbc
embulk gem install embulk-output-mysql
With the input and output plugins installed, we are ready to load Cassandra data into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like cassandra-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.cassandra.jar driver_class: cdata.jdbc.cassandra.CassandraDriver url: jdbc:cassandra:Database=MyCassandraDB;Port=7000;Server=127.0.0.1; table: "Customer" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert
After creating the file, run the Embulk job.
embulk run cassandra-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
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.cassandra.jar driver_class: cdata.jdbc.cassandra.CassandraDriver url: jdbc:cassandra:Database=MyCassandraDB;Port=7000;Server=127.0.0.1; query: "SELECT City, TotalDue FROM Customer WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert
By using CData JDBC Driver for Apache Cassandra as a connector, Embulk can integrate Cassandra 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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