| commit | d2be42dbea6fb1d9d908792788d66113960d565b | [log] [tgz] |
|---|---|---|
| author | Dinesh Joshi <djoshi@apache.org> | Wed May 24 16:30:54 2023 -0700 |
| committer | Dinesh Joshi <djoshi@apache.org> | Wed May 24 16:31:53 2023 -0700 |
| tree | ec0e182721bb67aac8f63ae89e5c606714eb735a | |
| parent | 7764214d1fb44fb6139a622f403bb05610e8f7b1 [diff] |
Ninja fix .asf.yaml
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.
If you are a consumer of the Cassandra Spark Bulk Writer, please see our end-user documentation: usage instructions, FAQs, troubleshooting guides, and release notes.
Developers interested in contributing to the SBW, 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.