How does broadcast join work in spark?
Answer / Pankaj Singh
Broadcast join is a technique used in Apache Spark to join a large table with a smaller one. In this approach, the larger table (known as the broadcaster) is distributed across all nodes in the cluster, while the smaller table (known as the joiner) remains on each executor. The broadcast table is replicated once on each worker, and then the join operation takes place locally on each node, reducing network communication and improving performance.
| Is This Answer Correct ? | 0 Yes | 0 No |
How to create RDD?
What is deploy mode in spark?
What is worker node in Apache Spark cluster?
Does spark use tez?
Why is spark fast?
Is it necessary to learn hadoop for spark?
How do we represent data in Spark?
What is difference between map and flatmap in spark?
Can rdd be shared between sparkcontexts?
Does Apache Spark provide check pointing?
What are the various data sources available in SparkSQL?
What makes Apache Spark good at low-latency workloads like graph processing and machine learning?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)