commit | b5ba5fad4df490d1b7d47889361db910589409b8 | [log] [tgz] |
---|---|---|
author | Yifan Cai <ycai@apache.org> | Wed Jan 24 14:47:36 2024 -0800 |
committer | Yifan Cai <ycai@apache.org> | Fri Jan 26 16:10:28 2024 -0800 |
tree | 9beba9b02a7ee079da2d5fefb5d1e01620f6bb2c | |
parent | d949d8c2b9813c3e8429ece34c364a356bd7d6eb [diff] |
CASSANDRA-19325 fix range split and use open-closed range notation consistently Patch by Yifan Cai; reviewed by Arjun Ashok, Francisco Guerrero for CASSANDRA-19325
The open-source repository for the Cassandra Spark Bulk Reader. This library allows integration between Cassandra and Spark job, allowing users to run arbitrary Spark jobs against a Cassandra cluster securely and consistently.
This project contains the necessary open-source implementations to connect to a Cassandra cluster and read the data into Spark.
For example usage, see the example repository; sample steps:
import org.apache.cassandra.spark.sparksql.CassandraDataSource import org.apache.spark.sql.SparkSession val sparkSession = SparkSession.builder.getOrCreate() val df = sparkSession.read.format("org.apache.cassandra.spark.sparksql.CassandraDataSource") .option("sidecar_instances", "localhost,localhost2,localhost3") .option("keyspace", "sbr_tests") .option("table", "basic_test") .option("DC", "datacenter1") .option("createSnapshot", true) .option("numCores", 4) .load()
The Cassandra Spark Bulk Writer allows for high-speed data ingest to Cassandra clusters running Cassandra 3.0 and 4.0.
Developers interested in contributing to the Analytics library, please see the DEV-README.
For example usage, see the example repository. This example covers both setting up Cassandra 4.0, Apache Sidecar, and running a Spark Bulk Reader and Spark Bulk Writer job.