commit | 6ce33604bbd9acbee092ab3c4f7f11c0d434f730 | [log] [tgz] |
---|---|---|
author | Saranya Krishnakumar <saranya_k@apple.com> | Wed Mar 06 14:32:22 2024 -0800 |
committer | GitHub <noreply@github.com> | Wed Mar 06 14:32:22 2024 -0800 |
tree | d60c971290413ef210f2963b9e21f3e496d4945d | |
parent | a13532272051d4e4608f92d53bdd997103e8ea19 [diff] |
CASSANDRA-19424 Check for expired certificate during start up validation (#43) patch by Saranya Krishnakumar; reviewed by Francisco Guerrero, Yifan Cai for CASSANDRA-19424
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.