Explain foreach() operation in apache spark?
Answer / Chanderpal Yadav
The `foreach()` operation in Apache Spark is a transformation action that applies a function to each element of a DataFrame or RDD (Resilient Distributed Dataset) and returns a new RDD as a result. The function passed to `foreach()` can perform arbitrary computations, including side effects like logging or writing to external storage. It's important to note that unlike transformations such as `map()`, the `foreach()` operation does not preserve the lineage of the DataFrame or RDD, which means it cannot be recomputed or cached.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is dataproc cluster?
What are the roles of the file system in any framework?
What is the use of checkpoints in spark?
Explain schemardd?
Explain Spark Streaming with Socket?
Is apache spark a tool?
Where are rdd stored?
What is executor cores in spark?
How you can use Akka with Spark?
Explain parquet file?
What is spark dynamic allocation?
Do we need to install spark in all nodes?
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)