Interested to Buy Any Domain ? << Click Here >> for more details...
What is spark shuffle?
- 1 Answers
- 284 Views
- I also Faced
- E-Mail Answers
Answer / Ashok Anand
Shuffle in Spark refers to a process where data is redistributed and sorted across nodes in order to perform certain operations like join, group by, sort, etc. Shuffles can be resource-intensive as they require significant network and memory usage.
| Is This Answer Correct ? | 0 Yes | 0 No |
When to use spark sql?
In how many ways can we use Spark over Hadoop?
Is apache spark an etl tool?
Why is transformation lazy operation in Apache Spark RDD? How is it useful?
Explain leftOuterJoin() and rightOuterJoin() operation in Apache Spark?
Explain foreach() operation in apache spark?
Explain the RDD properties?
Explain the term paired RDD in Apache Spark?
Explain Spark coalesce() operation?
What is off heap memory in spark?
What is the user of sparkContext?
What is the role of Driver program in Spark Application?
-
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)
