Read data from Cassandra tables using Apache Spark

Tags

Cassandra, Cassandra Spark Integration, Hadoop, Integration, READ, Spark

Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.

Apache Spark is an open-source cluster computing framework originally developed in the AMPLab at UC Berkeley. In contrast to Hadoop’s two-stage disk-based MapReduce paradigm, Spark’s in-memory primitives provide performance up to 100 times faster for certain applications. By allowing user programs to load data into a cluster’s memory and query it repeatedly, Spark is well-suited to machine learning algorithms.

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Insert records into HBase table using Java

Tags

Configuration, Insert, Integration, Java, Java HBase, Records, Table

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hbase-client.jar will be used to get connected to HBase using Java and this is available in maven repository. The following dependency can be added in our pom.xml

<dependency>
    <groupId>org.apache.hbase</groupId>
    <artifactId>hbase-client<artifactId>
    <version>1.1.0.1</version>
<dependency>

Once we have added the dependency we need to create Configuration object specifying core-site.xml and hbase-site.xml as resources.