commit | cf6de14d5b96ea173d6a1b2dad9bb64d563df06c | [log] [tgz] |
---|---|---|
author | Saranya Krishnakumar <saranya_k@apple.com> | Mon Feb 19 11:27:35 2024 -0800 |
committer | Francisco Guerrero <frankgh@apache.org> | Mon Feb 26 14:53:36 2024 -0800 |
tree | 4c6dcb5f69cb721009fe09a4589852ebca12e278 | |
parent | 46c35d0ef2efb66512133a7913df9936b0a80dc8 [diff] |
CASSANDRA-19442 Update access of ClearSnapshotStrategy Patch by Saranya Krishnakumar; Reviewed by Yifan Cai, Francisco Guerrero for CASSANDRA-19442
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.