In FusionInsight HD, about Hive and Sparksql, which of the following descriptions are correct? (multiple choice)

Question

Options

• ABoth can provide SQL or SQL-like capabilities externally
• BBoth can run on the MapReduce computing framework
• CBoth can access data on HBase through the table field and HBase field mapping method
• DBoth can run on the Spark computing framework

• A
  73% (36)
• B
  27% (13)

Explanation

A, C, and D are correct because both Hive and SparkSQL share three key capabilities in FusionInsight HD:

• (A) Hive exposes HiveQL (an SQL dialect) and SparkSQL exposes standard SQL - both provide SQL or SQL-like interfaces for querying structured data.
• (C) Both engines can connect to HBase by mapping table fields to HBase column families and qualifiers, enabling SQL-style queries over HBase data.
• (D) SparkSQL runs natively on Spark, and Hive supports Spark as an alternative execution engine (Hive-on-Spark), so both can use the Spark computing framework.

B is wrong because while Hive can run on MapReduce, SparkSQL is tightly coupled to the Spark engine and does not support MapReduce as a backend - making "both" an incorrect claim.

Memory tip: Think of the "Spark overlap" - SparkSQL only knows Spark, so any option saying both tools share MapReduce will be false. Use the acronym SAD (Spark, Access HBase, Data/SQL) to remember the three things they genuinely share.

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