commit | 85f4ba57b8143bbedb19688bb8867e0d64b3f592 | [log] [tgz] |
---|---|---|
author | Bernardo Botella <bbotella@users.noreply.github.com> | Thu Sep 18 09:09:59 2025 -0700 |
committer | GitHub <noreply@github.com> | Thu Sep 18 09:09:59 2025 -0700 |
tree | c0333994d876504e8b8d00a5b19b2ca23b20c25a | |
parent | 075c21d346b6242b3599d510cdd96d8934923ade [diff] |
CASSANALYTICS-91: Add extractCdcTables method to CqlUtils (#141) Patch by Bernardo Botella; Reviewed by Francisco Guerrero, Yifan Cai for CASSANALYTICS-91
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_contact_points", "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.
Contributions are welcome!
Please join us on #cassandra-dev in ASF Slack.
Issues are tracked in JIRA.