Interested to Buy Any Domain ? << Click Here >> for more details...
State the difference between Spark SQL and Hql
- 1 Answers
- 367 Views
- I also Faced
- E-Mail Answers
Answer / Rahul Prasad
Spark SQL is a Spark module for structured data processing while HQL (Hive Query Language) is used with Hadoop's Hive. The main differences are: n 1. Spark SQL supports more data sources compared to HQL.n 2. Spark SQL provides higher performance due to its in-memory data processing capabilities compared to HQL which relies on disk-based operations.n 3. Spark SQL can be used without having a physical database like Hive. However, it does support integration with Hive and other databases.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is difference between spark and mapreduce?
How do I optimize my spark code?
Who uses apache spark?
What does rdd stand for?
What is DStream in Apache Spark Streaming?
Why is rdd immutable?
What is Apache Spark?
Is apache spark an etl tool?
Explain about trformations and actions in the context of rdds?
What are features of apache spark?
Discuss writeahead logging in Apache Spark Streaming?
Does google use 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)
