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apache / cassandra-analytics / 82b3c0a79c9322142738a4ec2ff7d4d4c0be2370
commit82b3c0a79c9322142738a4ec2ff7d4d4c0be2370[log] [tgz]
authorFrancisco Guerrero <frankgh@apache.org>Tue Jul 25 12:41:10 2023 -0700
committerYifan Cai <ycai@apache.org>Tue Aug 08 14:41:26 2023 -0700
tree52e92042829f1109d46d976b76af4ec93fdff126
parent6f8f404535d4cff9272091f669f985ce11cee7d2 [diff]
CASSANDRA-18692 Fix bulk writes with Buffered RowBufferMode

When setting Buffered RowBufferMode as part of the `WriterOption`s,
`org.apache.cassandra.spark.bulkwriter.RecordWriter` ignores that configuration and instead
uses the batch size to determine when to finalize an SSTable and start writing a new SSTable,
if more rows are available.

In this commit, we fix `org.apache.cassandra.spark.bulkwriter.RecordWriter#checkBatchSize`
to take into account the configured `RowBufferMode`. And in specific to the case of the
`UNBUFFERED` RowBufferMode, we check then the batchSize of the SSTable during writes, and for
the case of `BUFFERED` that check will take no effect.

Co-authored-by: Doug Rohrer <doug@therohrers.org>

Patch by Francisco Guerrero, Doug Rohrer; Reviewed by Dinesh Joshi, Yifan Cai for CASSANDRA-18692
29 files changed
tree: 52e92042829f1109d46d976b76af4ec93fdff126
  1. .circleci/
  2. cassandra-analytics-core/
  3. cassandra-analytics-core-example/
  4. cassandra-bridge/
  5. cassandra-four-zero/
  6. cassandra-three-zero/
  7. config/
  8. githooks/
  9. gradle/
  10. ide/
  11. profiles/
  12. .asf.yaml
  13. .gitignore
  14. build.gradle
  15. CHANGES.txt
  16. code_version.sh
  17. DEV-README.md
  18. gradle.properties
  19. gradlew
  20. LICENSE.txt
  21. NOTICE.txt
  22. README.md
  23. settings.gradle
README.md

Cassandra Analytics

Cassandra Spark Bulk Reader

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()

Cassandra Spark Bulk Writer

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.

Getting Started

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.