Interested to Buy Any Domain ? << Click Here >> for more details...
What is difference between map and flatmap in spark?
- 1 Answers
- 344 Views
- I also Faced
- E-Mail Answers
Answer / Syed Danish Mushtaq
In Apache Spark, both Map and FlatMap are transformation operations. Map takes a function as an argument to transform each record in a DataFrame or RDD into another record. On the other hand, FlatMap applies a function that produces zero or more records for each input record (similar to Scala's FlatMap). The primary difference lies in how they handle output records: Map combines all resulting records into one, while FlatMap concatenates all outputs from individual records.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is apache spark used for?
Explain Spark countByKey() operation?
What is spark ml?
Is bigger than spark driver maxresultsize?
What does apache spark stand for?
Why was spark created?
Explain lineage graph
What is a spark context?
What is spark dynamic allocation?
How do I get better performance with spark?
What are the transformations in spark?
What is Spark Driver?
-
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)
