Why is Reading done in parallel and writing is not in HDFS?
Answer / Lalita Kumari
Reading is done in parallel in HDFS because it's more efficient for the system to read multiple blocks simultaneously. Writing, however, requires exclusive access to the file, so it cannot be performed in parallel.
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you mean by metadata in HDFS?
Differentiate HDFS & HBase?
How does HDFS ensure Data Integrity of data blocks stored in HDFS?
How does hdfs give great throughput?
how does hdfs ensure data integrity of data blocks stored in hadoop hdfs?
What is the module in HDFS?
What is the optimal block size in HDFS?
File permissions in HDFS?
Is namenode also a commodity?
Explain what is heartbeat in hdfs?
Explain hdfs?
What do you mean by the high availability of a namenode?
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)