commit | 86420f9d52991fb148b322031df55494669532d3 | [log] [tgz] |
---|---|---|
author | Francisco Guerrero <frankgh@apache.org> | Tue Apr 23 12:51:53 2024 -0700 |
committer | GitHub <noreply@github.com> | Tue Apr 23 12:51:53 2024 -0700 |
tree | 3867309274da38e6771e846f4dc6ba37344b3ffe | |
parent | aea798dc7e517af520a403d4d86f3bc6bed65092 [diff] |
CASSANDRA-19582: Consume new Sidecar client API to stream SSTables (#54) Patch by Francisco Guerrero; Reviewed by Yifan Cai for CASSANDRA-19582
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.