What main configuration parameters are specified in mapreduce?
Answer / Sabhajeet Sonkar
The main configuration parameters in MapReduce include input and output format classes, mapper, combiner, reducer, partitioner, and the number of mappers, reducers, sorting comparators, and other job-specific properties.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is optimal size of a file for distributed cache?
what is "map" and what is "reducer" in Hadoop?
What is a mapreduce algorithm?
Name job control options specified by mapreduce.
Is reduce-only job possible in Hadoop MapReduce?
What is an identity mapper and identity reducer?
What is Shuffling and Sorting in a MapReduce?
Mention Hadoop core components?
How can we assure that the values regarding a particular key goes to the same reducer?
Explain the difference between a MapReduce InputSplit and HDFS block?
What is reduce side join in mapreduce?
What are mapreduce new and old apis while writing map reduce program?. Explain how it works
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)