What is salting in spark?
Answer / Praveen Mishra
"In Apache Spark, 'salting' refers to the process of adding a unique salt value to keys before they are hashed. This is often used for shuffle operations to reduce the chance of key collisions during data distribution across nodes. Salted hashing improves the performance and robustness of Spark's distributed shuffles by minimizing contention on common keys and reducing the need for multiple rounds of re-shuffling."n
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain Spark Streaming with Socket?
What is meant by rdd in spark?
What is the function of "MLlib"?
What is shark?
What is difference between rdd and dataframe?
What is sparksession and sparkcontext?
Is it necessary to learn hadoop for spark?
Describe Spark SQL?
Explain pipe() operation in Apache Spark?
What are shared variables in Apache Spark?
What is spark shuffle service?
What is a dataset? What are its advantages over dataframe and rdd?
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)