Interested to Buy Any Domain ? << Click Here >> for more details...
What is Speculative Execution in Apache Spark?
- 1 Answers
- 306 Views
- I also Faced
- E-Mail Answers
Answer / Manish Raj Singh
"Speculative Execution": A technique used by Spark to improve the performance and resilience of its applications. When speculative execution is enabled, Spark executes multiple copies of the same task or stage on different workers concurrently, with the expectation that one or more of them may fail. The idea is that if a task completes successfully on one worker, the result can be sent to the driver program immediately, providing faster response times."
| Is This Answer Correct ? | 0 Yes | 0 No |
What is the difference between cache and persist in spark?
Why is spark so fast?
What is map in spark?
State the difference between Spark SQL and Hql
Do I need scala for spark?
Is scala required for spark?
How to identify that the given operation is transformation or action?
In how many ways can we use Spark over Hadoop?
What are the different levels of persistence in Spark?
What is Resilient Distributed Dataset (RDD) in Apache Spark? How does it make spark operator rich?
What do you know about transformations in spark?
What is the difference between coalesce and repartition in spark?
-
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)
