Interested to Buy Any Domain ? << Click Here >> for more details...
Explain coalesce operation in Apache Spark?
- 1 Answers
- 343 Views
- I also Faced
- E-Mail Answers
Answer / Siddharth Gautam
The Coalesce operation in Apache Spark is used to reduce the number of partitions in a DataFrame or Dataset. It combines multiple partitions into fewer partitions, which can help optimize resources during computation. This operation is useful when you have too many partitions and need to balance the load across workers.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is project tungsten in spark?
how can you identify whether a given operation is transformation or action?
Define fold() operation in Apache Spark?
Explain the key features of Spark.
What are the drawbacks of Apache Spark?
Does spark use yarn?
What is spark lineage?
What are the exact differences between reduce and fold operation in Spark?
Which language is best for spark?
Explain coalesce operation in Apache Spark?
What are the two ways to create rdd in spark?
What is the difference between python and 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)
