hadoop hive interview questions and answers - Wikitechy https://www.wikitechy.com/interview-questions/tag/hadoop-hive-interview-questions-and-answers/ Interview Questions Mon, 13 Sep 2021 06:07:09 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.wikitechy.com/interview-questions/wp-content/uploads/2025/10/cropped-wikitechy-icon-32x32.png hadoop hive interview questions and answers - Wikitechy https://www.wikitechy.com/interview-questions/tag/hadoop-hive-interview-questions-and-answers/ 32 32 What is Data Hive ? https://www.wikitechy.com/interview-questions/hive/what-is-data-hive/ https://www.wikitechy.com/interview-questions/hive/what-is-data-hive/#respond Tue, 13 Jul 2021 21:10:43 +0000 https://www.wikitechy.com/interview-questions/?p=557

Data Hive

  • Data Hive is a data warehouse software project built on top of Apache Hadoop for providing query, and analysis.
  • Hive gives SQL like interface to query data stored in different databases and file systems that integrate with Hadoop.
Apache hive data model
Data Processing Task
  • Download the data
  • Upload the data
  • Start the hive view
    • Explore the hive user interface(UI)
    • Create table temp_drivers
    • Create query to populate hive table temp_drivers with drivers.csv data
    • Create table drivers
    • To create query for extract data from temp_drivers and store it to drivers.
    • Create temp_timesheet and timesheet tables.
    • For filter the data (driverid, hours_logged, miles_logged).
    • For join the data (driverid, name, hours_logged, miles_logged).
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Hive

  • Hive is a component of Hortonworks Data Platform(HDP).
  • Hive provides a SQL interface to data stored in HDP.
  • Hive has 3 main functions:
    • Data Summarization
    • Query
    • Analysis.
  • It supports queries expressed language called HiveQL, which automatically translates SQL like queries into MapReduce jobs executed on Hadoop.
  • It also enables data serialization and increases flexibility in schema architecture including a system catalog called Hive Metastore.

Architecture of hive :

what is hive

Features of hive:

  • Different storage such as plain text, RCFile, ORC, HBase, and others.
  • Pre-defined functions (UDFs) to manipulate dates, strings, and other data-mining tools.
  • Hive supports extending the UDF set to handle use-cases not supported by built-in functions.

Limitations of Hive:

  • Hive supports overwriting or hold data, but not updates and deletes.
  • In Hive, sub queries are not supported
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