commit | 690101840d4d8f9c656bb0ca114f6619af80e1cf | [log] [tgz] |
---|---|---|
author | Francisco Guerrero <frankgh@apache.org> | Mon Apr 08 14:33:50 2024 -0700 |
committer | GitHub <noreply@github.com> | Mon Apr 08 14:33:50 2024 -0700 |
tree | 319f8c08ce57ffdc397279e750d83f08cfacf536 | |
parent | 47fdb6448b6956249790d5dc7bb76b699d35c079 [diff] |
CASSANDRA-19526: Optionally enable TLS in the server and client for Analytics testing All integration tests today run without TLS, which is generally fine because they run locally. However, it is helpful to be able to start up the sidecar with TLS enabled in the integration test framework so that third-party tests could connect via secure connections for testing purposes. Co-authored-by: Doug Rohrer <drohrer@apple.com> Co-authored-by: Francisco Guerrero <frankgh@apache.org> Patch by Doug Rohrer, Francisco Guerrero; Reviewed by Yifan Cai for CASSANDRA-19526
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.