commit | 164243e78f1557a34bc699ebc716b532781d6422 | [log] [tgz] |
---|---|---|
author | Arjun Ashok <arjun_ashok@apple.com> | Fri Mar 22 16:22:44 2024 -0700 |
committer | GitHub <noreply@github.com> | Fri Mar 22 16:22:44 2024 -0700 |
tree | 751366ca470a1a79f2709fb4e7d418d3602bde07 | |
parent | 6ce33604bbd9acbee092ab3c4f7f11c0d434f730 [diff] |
CASSANDRA-19418 - Changes to report additional bulk analytics job stats for instrumentation (#41) Patch by Arjun Ashok; Reviewed by Doug Rohrer, Yifan Cai, Francisco Guerrero for CASSANDRA-19418
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.