Interested to Buy Any Domain ? << Click Here >> for more details...
Explain write ahead log(journaling) in spark?
- 1 Answers
- 284 Views
- I also Faced
- E-Mail Answers
Answer / Shiv Prakash
Write Ahead Log (WAL) is a data logging technique used by Spark for ensuring durability of writes. It maintains a log that contains all the commands needed to redo and undo the writes, allowing for fast recovery from failures. When a write operation is performed, both the WAL and the final destination are updated. If a failure occurs before the data can be fully written to the destination, Spark can recover by replaying the operations in the WAL.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is Apache Spark? What is the reason behind the evolution of this framework?
If there is certain data that we want to use again and again in different transformations, what should improve the performance?
How does spark rdd work?
How sparksql is different from hql and sql?
Explain the difference between Spark SQL and Hive.
explain the use of blinkdb?
What is spark context spark session?
What is spark etl?
Who is the founder of spark?
What is difference between dataset and dataframe in spark?
What is difference between hadoop and spark?
What is standalone mode in 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)
