What is shuffling in mapreduce?
Answer / Rajneesh Phool
Shuffling in MapReduce refers to the process of redistributing intermediate key-value pairs (generated during the map phase) to the appropriate reducer responsible for their respective keys, following sorting.
| Is This Answer Correct ? | 0 Yes | 0 No |
How to overwrite an existing output file/dir during execution of Hadoop MapReduce jobs?
What is the relationship between Job and Task in Hadoop?
Mention when to use Map reduce mode?
How can we control particular key should go in a specific reducer?
How to set the number of mappers for a MapReduce job?
How much space will the split occupy in Mapreduce?
What is the core of the job in MapReduce framework?
What is Hadoop Map Reduce ?
What is Output Format in MapReduce?
What is LazyOutputFormat in MapReduce?
What is identity mapper and reducer? In which cases can we use them?
Explain what are the basic parameters of a mapper?
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)