commit | 047d13806078bafdc3954273b0e240dbbb976bd4 | [log] [tgz] |
---|---|---|
author | Arjun Ashok <arjun_ashok@apple.com> | Fri Jan 26 10:37:42 2024 -0800 |
committer | Yifan Cai <ycai@apache.org> | Tue Jan 30 15:31:49 2024 -0800 |
tree | 2583f77a588ed98f53f6fa4193321c623b3c949d | |
parent | 8c20b452dd0728a6fad6d276a7be9fa1b9274495 [diff] |
CASSANDRA-19331 Improve logging for bulk writes and on task failures Patch by Arjun Ashok; reviewed by Francisco Guerrero, Yifan Cai for CASSANDRA-19331
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.