Why we need compression and what are the different compression format supported?
Answer / Manoj Kumar Singh
{"Compression is necessary in data processing systems like Apache Spark to save storage space, reduce network traffic, and improve performance. Different compression formats supported by Spark include Gzip, Snappy, LZ4, and LZF. The choice of compression format depends on factors such as compression efficiency, decompression speed, and overall system requirements."}
| Is This Answer Correct ? | 0 Yes | 0 No |
What is graphx spark?
Why we need compression and what are the different compression format supported?
Can you explain broadcast variables?
When to use spark sql?
What does rdd stand for in logistics?
Is rdd type safe?
What is an accumulator in spark?
What is rdd in spark with example?
What is javardd spark?
When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?
What are the benefits of Spark lazy evaluation?
Define sparksession in apache spark? Why is it needed?
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)