| commit | cbbf33d001b6f953be5654f00d7dfb54011a7619 | [log] [tgz] |
|---|---|---|
| author | Francisco Guerrero <frankgh@apache.org> | Wed Apr 03 11:08:32 2024 -0700 |
| committer | GitHub <noreply@github.com> | Wed Apr 03 11:08:32 2024 -0700 |
| tree | fb7e8a498f9cb320f8be7523017f4cd85f5107dc | |
| parent | 295358095db80ced4b8f54f603f7bd9833a8f175 [diff] |
CASSANDRA-19519: Migrate remaining integration tests to the single dtest cluster per class model (#49) Additionally, we remove the usused test framework code after migrating the tests Patch by Francisco Guerrero; Reviewed by Yifan Cai for CASSANDRA-19519
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.