What is a rack awareness algorithm?
Answer / Jitendra Kumar Singh
A rack awareness algorithm is a technique used in HDFS to optimize data placement across datanodes by considering the physical network topology. The goal is to place data on different racks (physical rows of servers) within the same data center to minimize inter-rack communication, thereby reducing network latency and improving overall system performance.
| Is This Answer Correct ? | 0 Yes | 0 No |
What should be the HDFS Block size to get maximum performance from Hadoop cluster?
Distinguish HDFS Block and Input Unit?
What is a block in Hadoop HDFS? What should be the block size to get optimum performance from the Hadoop cluster?
Why is block size set to 128 MB in Hadoop HDFS?
Why does hive not store metadata information in hdfs?
Which classes are used by the hive to read and write hdfs files?
Can multiple clients write into an HDFS file concurrently in hadoop?
What do you mean by meta information in hdfs?
Explain the key features of hdfs?
Explain how are file systems checked in hdfs?
What are the key features of HDFS?
When NameNode enter in Safe Mode?
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)