What is shuffle in spark?
Answer / Anshi Gupta
Shuffle is a process in Apache Spark where data is redistributed among executors for grouping, sorting, or joining. It can be computationally expensive due to the large amount of data movement involved, but Spark has optimizations like sort merge phase and shuffle spill to mitigate performance issues.
| Is This Answer Correct ? | 0 Yes | 0 No |
Does spark use java?
What are the advantages of DataSets?
What are the advantages of datasets in spark?
How do I optimize my spark code?
What are the features and characteristics of Apache Spark?
What does apache spark do?
What is spark shuffle?
What is the FlatMap Transformation in Apache Spark RDD?
What is data skew and how do you fix it?
What is the disadvantage of spark sql?
Explain cogroup() operation in Spark?
What is data pipeline in spark?
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)