Spark环境下Dataset写入Cassandra比RDD慢10倍的技术问题咨询

I recently ran a head-to-head performance test for writing to a Cassandra table (4 partition keys, 30000 total records) using Spark RDDs and Datasets. The outcome was striking: Dataset writes were 10 times slower than RDD writes.

Environment & Configuration Details #

Cluster & Software Versions #

• DSE version: 5.1.7
• Spark version: 2.0.1
• Deployment mode: Spark Standalone
• Cluster setup: 6 nodes total, each with 20 cores and 6GB of memory

Key Spark Configuration Settings #

• spark.scheduler.listenerbus.eventqueue.size=100000
• spark.locality.wait=1
• spark.dse.continuous_paging_enabled=false
• spark.cassandra.input.fetch.size_in_rows=500

内容的提问来源于stack exchange，提问作者Shrinivas Suresh