Interested to Buy Any Domain ? << Click Here >> for more details...
What is vectorized query execution?
- 1 Answers
- 331 Views
- I also Faced
- E-Mail Answers
Answer / Ratanakar Dwivedi
Vectorized Query Execution is a technique used in Apache Spark to improve performance by processing multiple data elements simultaneously instead of one at a time (scalar computation). This is achieved by organizing the data into dense arrays (vectors) and operating on these vectors as a single unit. This can lead to significant speedups for operations that can be performed efficiently on vectors.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is rdd map?
How apache spark works?
Name types of Cluster Managers in Spark.
How does broadcast join work in spark?
Explain about trformations and actions in the context of rdds?
What is spark checkpointing?
Explain pipe() operation. How it writes the result to the standard output?
Is it necessary to learn hadoop for spark?
Explain distnct(),union(),intersection() and substract() transformation in Spark?
What is apache spark core?
What is meant by spark in big data?
is it necessary to install Spark on all nodes while running Spark application on Yarn?
-
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)
