1. What’s a Hive?
As a Hadoop professional, you ought to be ready to explain Hive to your interviewer with ease. Answer by explaining that it’s a knowledge warehouse tool and open-source software which will query and analyze data stored within the Hadoop Distributed filing system (HDFS).
2. What’s a Hive Variable and what’s It Used For?
Referenced by Hive scripting languages, a Hive variable is made within the Hive environment and uses the source command.
3. What Are the Various Modes within the Hive?
This may appear to be a simple question, but again, sometimes interviewers wish to ask these basic inquiries to see how confident you’re when it involves your Hive knowledge. Answer by saying that Hive can sometimes operate in two modes, which are MapReduce mode and native mode. Explain that this relies on the dimensions of the DataNodes in Hadoop.
4. What’s Hive Bucketing?
When performing queries on large datasets in Hive, bucketing offers a better structure to Hive tables. You’ll also want to require your answer a step further by explaining a number of the precise bucketing features, also as a number of the benefits of bucketing in Hive.
5. What’s Hive Composed Of?
Tell your interviewer that Hive is formed from three main components: Hive Services, Hive Clients, and Hive Storage and Computing. you ought to also briefly inform your interviewer what each component is capable of and therefore the differences between each part.
6. What Are the most Components of Hive Architecture?
You’ll first want to answer this question by naming each of the most components: Driver, interface, Execute Engine, Compiler, and Megastore. You’ll really demonstrate your Hive knowledge to your interviewer if you’re ready to explain the capabilities of every component also.
7. What Options Are Available When It involves Attaching Applications to the Hive Server?
Explain the three alternative ways (Thrift Client, JDBC Driver, and ODBC Driver) you’ll connect applications to the Hive Server. You’ll also want to elucidate the aim for every option: for instance, using JDBC will support the JDBC protocol.
8. What Are Partitions?
In Hive, tables are organized and divided into partitions. You’ll want to incorporate this in your answer, also as explain why partitions are useful in Hive.
