commit | bbfca46129992e83055ba9b0b4f836871eef0990 | [log] [tgz] |
---|---|---|
author | Yifan Cai <ycai@apache.org> | Tue Dec 12 23:45:41 2023 +0800 |
committer | Yifan Cai <ycai@apache.org> | Wed Dec 13 23:36:53 2023 +0800 |
tree | cd47cf48b89796ca70fa913d561cea46bc770553 | |
parent | c7c3bbca2c7cb415b39689e924fa2357c239f043 [diff] |
CASSANDRA-19198: Flaky test in SSTableInputStreamTests Patch by Yifan Cai; Reviewed by Francisco Guerrero for CASSANDRA-19198
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.