Interested to Buy Any Domain ? << Click Here >> for more details...
How does broadcast join work in spark?
- 1 Answers
- 321 Views
- I also Faced
- E-Mail Answers
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 |
Why do we need rdd in spark?
Is spark a special attack?
Explain benefits of lazy evaluation in RDD in Apache Spark?
What is apache spark used for?
What is rdd partition?
What happens when you submit spark job?
How does executor work in spark?
What is meant by rdd lazy evaluation?
What is lambda in spark?
Define "PageRank".
Can you explain benefits of spark over mapreduce?
What is worker node in Apache Spark cluster?
-
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)
