Interested to Buy Any Domain ? << Click Here >> for more details...
Can you explain broadcast variables?
- 1 Answers
- 318 Views
- I also Faced
- E-Mail Answers
Answer / Ravi Ranjan Kumar
Broadcast variables in Apache Spark are used for sharing large amounts of read-only data across worker nodes during the computation. They are useful when the same data needs to be accessed by multiple tasks in parallel and the data is too large to fit into the memory of a single node. When a broadcast variable is created, it gets replicated on all the worker nodes, but only one copy of the data is sent to each node. This saves network bandwidth as compared to sending the same data to each task separately.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is rdd partition?
What are the main components of spark?’
Does Hoe Spark handle monitoring and logging in Standalone mode?
What are the differences between Caching and Persistence method in Apache Spark?
Is java required for spark?
What is the difference between hadoop and spark?
What is in memory processing in spark?
What is executor spark?
Does spark run mapreduce?
Is there a module to implement sql in spark? How does it work?
How do you process big data with spark?
What is the future of apache 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)
