Table of Contents
What is the disadvantage of Hive?
Apache Hive Limitations Hive does not support update and delete operation on tables. Subqueries are not supported. The latency in the apache hive query is very high. Hive is not used for real-time data querying since it takes a while to produce a result.
What are the main limitations of Apache Hive?
Some of the limitations of Apache Hive are:
- Hive is not designed for the OLTP (Online transaction processing). We can use it for OLAP.
- It does not offer real-time queries.
- It provides limited subquery support.
- Latency of Hive is generally very high.
What are the pros and cons of Hive?
Despite these disadvantages, Hive also a host of advantages that its many users love about the software.
- Hive combines the features of other project management software.
- It is versatile.
- Customer support is robust.
- Price is good.
- It has numerous integrations.
- It is flexible.
- Tasks cards are easy to use.
Why is Apache Hive good?
Apache Hive works extremely well with large data sets. Analysis over a large data set (Example: 1PB of data) is made easy with hive. User-defined functions gives flexibility to users to define operations that are used frequently as functions.
What is not true about hive?
Hive needs a relational database like oracle to perform query operations and store data. Explanation: Hive needs a relational database like oracle to perform query operations and store data is incorrect with respect to Hive. 2. Explanation: By default Hive will use hive-log4j.
Which is not features of Hive?
Explanation: Hive needs a relational database like oracle to perform query operations and store data is incorrect with respect to Hive. 2. Which of the following is not a Features of HiveQL? Explanation: Support Transactions is not a Features of HiveQL.
What is the downside of so many partitions being used in Hive tables?
Limitations: Having large number of partitions create number of files/ directories in HDFS, which creates overhead for NameNode as it maintains metadata. It may optimize certain queries based on where clause, but may cause slow response for queries based on grouping clause.
Is hive a good data warehouse?
Hive acts as an excellent storage tool for Hadoop Framework. Hive is the replica of relational management tables. That means it stores structured data. However, Hive can also store unstructured data.