Apache Hive Interview Questions and Answers
Experienced / Expert level questions & answers
Ques 1. How can you optimize Hive queries for better performance?
Optimizations include partitioning, bucketing, using indexes, and tuning query execution parameters.
Ques 2. What is Hive bucketing, and how is it useful?
Hive bucketing is a technique to divide data into buckets based on a hash function, improving query performance. It helps avoid full table scans.
Ques 3. What is the purpose of Hive indexes?
Hive indexes provide a way to speed up query processing by allowing faster access to rows that meet certain conditions.
Ques 4. What is Hive's ACID support, and when is it used?
Hive ACID (Atomicity, Consistency, Isolation, Durability) support is used for managing transactions in Hive tables.
Ques 5. What is the purpose of Hive skew join optimization?
Hive skew join optimization is used to handle skewed data distribution during join operations, improving performance.
Ques 6. What is the purpose of Hive's distributed cache?
Hive's distributed cache is used to distribute small read-only files, such as lookup tables, to all the nodes in a Hadoop cluster for improved performance.
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