Interested to Buy Any Domain ? << Click Here >> for more details...
What is a rack awareness algorithm?
- 1 Answers
- 81 Views
- I also Faced
- E-Mail Answers
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 |
Can we change the document present in hdfs?
What is a block in Hadoop HDFS? What should be the block size to get optimum performance from the Hadoop cluster?
How to create Users in hadoop HDFS?
Does the HDFS go wrong? If so, how?
Why is block size set to 128 MB in HDFS?
Define data integrity?
How data or file is written into HDFS?
Explain HDFS “Write once Read many” pattern?
What is the throughput? How does hdfs give great throughput?
How does data transfer happen from hdfs to hive?
Why is block size large in Hadoop?
Data node block size in HDFS, why 64MB?
-
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)
