A.The best usage scenario of Hive is the batch processing job of large data sets

B.Hive is built on Hadoop based on static batch processing. Hadoop usually has high latency and requires a lot of overhead when submitting and scheduling

C.The Hive query operation process strictly follows the Hadoop MapReduce role execution model. Hive converts the user's HiveQL statement to the MapReduce Hadoop cluster through the interpreter.

D.Hive can realize low-latency and fast query on large-scale data sets

A.DataNodes

B.HMaster

C.RegionServer

D.Zookeeper

A.Massive data (TB, PB) application scenarios

B.Semi-structured data application scenarios

C.High throughput application scenarios

D.Application scenarios that require full ACID characteristics

A.Ease of use

B.Scalability

C.High reliability

D.high performance

A.More than 200 nodes

B.100-200 nodes

C.Below 30 nodes

D.More than 100 nodes