{"id":160427,"date":"2022-09-28T10:31:00","date_gmt":"2022-09-28T05:01:00","guid":{"rendered":"https:\/\/www.jigsawacademy.com\/?p=160427"},"modified":"2022-09-30T09:24:22","modified_gmt":"2022-09-30T03:54:22","slug":"53-crucial-hive-interview-questions-with-answers-2022","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/blogs\/business-analytics\/53-crucial-hive-interview-questions-with-answers-2022\/","title":{"rendered":"53 Crucial Hive Interview Questions With Answers (2022) | UNext Jigsaw"},"content":{"rendered":"\r\n

Introduction<\/strong><\/h2>\r\n\r\n\r\n\r\n

Big Data interviews can take place in general lines or concentrate on a specific system or method. This article will focus on the Big Data tool- Apache Hive- frequently used. You get a detailed understanding of questions asked in Big Data interviews by employers connected with Apache Hive after going through this Apache Hive interview questions article.<\/p>\r\n\r\n\r\n\r\n

Hadoop is an open-source framework designed to facilitate the storing and processing of large volumes of data. Hive is a data warehouse tool that works in the Hadoop ecosystem to process and summarize the data, making it easier to use. Now that you know what Hive is in the Hadoop ecosystem read on to find out the most common Hive interview questions.<\/p>\r\n\r\n

\"Desktop \"Mobile<\/a><\/p>\r\n\r\n

Apache Hive \u2013 A Brief Introduction<\/b><\/h3>\r\n

Apache Hive is a popular data warehouse system. It is built on top of Hadoop and is extensively used for analyzing structured and semi-structured data. It provides an easy and reliable mechanism to project structure onto the data and perform queries written in HQL (Hive Query Language), similar to SQL statements.<\/span><\/p>\r\n

Apache Hive Job Trends:<\/b><\/h3>\r\n

Most companies today consider Apache Hive their go-to resource for analytics on large data sets. As it also supports SQL-like query statements, it is quite popular amongst professionals from a non \u2013 programming background who are looking forward to working on the Hadoop MapReduce framework.<\/span><\/p>\r\n

Hive Interview Questions<\/b><\/h3>\r\n

Hive-related questions are most often an integral part of any Data Science related interview. Being prepared to answer the same with confidence helps you build a good image in the eyes of the interviewer and also chart out a successful career. The following <\/span>Hive Interview Questions<\/b> have been specifically curated to help you get acquainted with the nature of questions you might have to answer in the interview. If you are a beginner, the interviewer will be looking out to check how strong your foundation is and might ask you questions related to basic concepts. As your experience increases, so will the difficulty level of the questions, with them becoming more technical and application-oriented.<\/span><\/p>\r\n

Hive Interview Questions<\/strong><\/p>\r\n\r\n\r\n\r\n

    \r\n
  1. What applications are supported by Hive?<\/strong><\/li>\r\n
  2. What are the different tables available in Hive?<\/strong><\/li>\r\n
  3. What is the difference between external and managed tables?<\/strong><\/li>\r\n
  4. Where does the data of a Hive table get stored?<\/strong><\/li>\r\n
  5. Can Hive be used in OLTP systems?<\/strong><\/li>\r\n
  6. Can a table name be changed in Hive?<\/strong><\/li>\r\n
  7. Where is Hive table data stored?<\/strong><\/li>\r\n
  8. Can the default location of a managed table be changed in Hive?<\/strong><\/li>\r\n
  9. What is a Hive Metastore?<\/strong><\/li>\r\n
  10. What are the types of meta stores?<\/strong><\/li>\r\n
  11. What is the difference between Local and Remote meta stores?<\/strong><\/li>\r\n
  12. What is the default Apache Hive metastore database?<\/strong><\/li>\r\n
  13. Can multiple users use one metastore?<\/strong><\/li>\r\n
  14. What are the three different modes in which Hive can be operated?<\/strong><\/li>\r\n
  15. Is there a data type in Hive to store date information?<\/strong><\/li>\r\n
  16. Why is partitioning used in Hive?<\/strong><\/li>\r\n
  17. What is dynamic partitioning and when is it used? <\/strong><\/li>\r\n
  18. What are the Hive collection data types?<\/strong><\/li>\r\n
  19. Is it possible to run UNIX shell commands in Hive?<\/strong><\/li>\r\n
  20. Is it possible to execute Hive queries from a script file?<\/strong><\/li>\r\n
  21. What is a .hiverc file?<\/strong><\/li>\r\n
  22. How can you check if a specific partition exists?<\/strong><\/li>\r\n
  23. \u00a0If you had to list all databases that began with the letter \u2018c\u2019, how would you do it?<\/strong><\/li>\r\n
  24. Is it possible to delete DBPROPERTY in Hive?<\/strong><\/li>\r\n
  25. Which Java class handles the input record encoding into files that store Hive tables?<\/strong><\/li>\r\n
  26. Which Java class handles output record encoding into Hive query files?<\/strong><\/li>\r\n
  27. When a Hive table partition is pointed to a new directory, what happens to the data?<\/strong><\/li>\r\n
  28. Do you save space in the HDFS by archiving Hive tables?<\/strong><\/li>\r\n
  29. How can you stop a partition from being accessed in a query?<\/strong><\/li>\r\n
  30. What is a table generating function on Hive?<\/strong><\/li>\r\n
  31. Can you avoid MapReduce on Hive?<\/strong><\/li>\r\n
  32. Can a Cartesian join be created between two Hive tables?<\/strong><\/li>\r\n
  33. What is a view in Hive?<\/strong><\/li>\r\n
  34. Can the name of a view be the same as a Hive table name?<\/strong><\/li>\r\n
  35. Can we use the LOAD or INSERT command to view?<\/strong><\/li>\r\n
  36. What is indexing in Hive?<\/strong><\/li>\r\n
  37. Are multi-line comments supported by Hive?<\/strong><\/li>\r\n
  38. How can you view the indexes of a Hive table?<\/strong><\/li>\r\n
  39. What is the Hive ObjectInspector function?<\/strong><\/li>\r\n
  40. What is bucketing?<\/strong><\/li>\r\n
  41. How is bucketing helpful?<\/strong><\/li>\r\n
  42. Can you specify the name of the table creator in Hive?<\/strong><\/li>\r\n
  43. What is Hcatalog?<\/strong><\/li>\r\n
  44. What is UDF in Hive?<\/strong><\/li>\r\n
  45. What does \/*streamtable(table_name)*\/ do?\u00a0<\/strong><\/li>\r\n
  46. What are the limitations of Hive?<\/strong><\/li>\r\n
  47. Why do you need a Hcatolog?<\/strong><\/li>\r\n
  48. Name the components of a Hive query processor?<\/strong><\/li>\r\n
  49. Why do we need buckets?\u00a0<\/strong><\/li>\r\n
  50. How Hive distribute the rows into buckets?<\/strong><\/li>\r\n
  51. What will happen in case you have not issued the command: \u00a0\u2018SET hive.enforce.bucketing=true;\u2019\u00a0before bucketing a table in Hive in Apache Hive 0.x or 1.x?\u00a0<\/strong><\/li>\r\n
  52. How do ORC format tables help Hive to enhance its performance?<\/strong><\/li>\r\n
  53. What are the different components of a Hive architecture?<\/strong><\/li>\r\n<\/ol>\r\n

     <\/p>\r\n\r\n

    Hive Interview Questions for 2022<\/h2>\r\n\r\n

    \"Desktop \"Mobile<\/a><\/p>\r\n\r\n

    Here is the comprehensive list of the most commonly asked Hive interview questions. Interview questions on Hive may be direct or application-based.<\/p>\r\n\r\n\r\n\r\n

    1. What applications are supported by Hive<\/strong>?<\/h2>\r\n\r\n\r\n\r\n

    Hive supports client applications based on Java, PHP, Python, C, and Ruby coding languages.<\/p>\r\n\r\n\r\n\r\n

    2. What are the different tables available in Hive<\/strong>?<\/h2>\r\n\r\n\r\n\r\n

    There are two types of tables available in Hive – managed and external.<\/p>\r\n\r\n\r\n\r\n

    3. What is the difference between external and managed tables?<\/h2>\r\n\r\n\r\n\r\n

    While external tables give data control to Hive but not control of a schema, managed tables give both schema and data control.<\/p>\r\n\r\n\r\n\r\n

    4. Where does the data of a Hive<\/strong> table get stored?<\/h2>\r\n\r\n\r\n\r\n

    The Hive table gets stored in an HDFS directory \u2013 \/user\/hive\/warehouse, by default. You can adjust it by setting the desired directory in the configuration parameter hive.metastore.warehouse.dir in hive-site.xml.<\/p>\r\n\r\n\r\n\r\n

    5. Can Hive<\/strong> be used in OLTP systems?<\/h2>\r\n\r\n\r\n\r\n

    Since Hive does not support row-level data insertion, it is unsuitable for OLTP systems.<\/p>\r\n\r\n\r\n\r\n

    6. Can a table name be changed in Hive<\/strong>?<\/h2>\r\n\r\n\r\n\r\n

    Yes, you can change a table name in Hive. You can rename a table name by using: Alter Table table_name RENAME TO new_name.<\/p>\r\n\r\n\r\n\r\n

    7. Where is Hive<\/strong> table data stored?<\/h2>\r\n\r\n\r\n\r\n

    Hive table data is stored in an HDFS directory by default \u2013 user\/hive\/warehouse. This can be altered.<\/p>\r\n\r\n\r\n\r\n

    8. Can the default location of a managed table be changed in Hive<\/strong>?<\/h2>\r\n\r\n\r\n\r\n

    Yes, the default managed table location can be changed in Hive by using the LOCATION \u2018<hdfs_path>\u2019 clause.<\/p>\r\n\r\n\r\n\r\n

    9. What is a Hive<\/strong> Metastore?<\/h2>\r\n\r\n\r\n\r\n

    A Metastore is a relational database that stores the metadata of Hive partitions, tables, databases, and so on.<\/p>\r\n\r\n\r\n\r\n

    10. What are the types of meta-stores?<\/h2>\r\n\r\n

    \"Desktop \"Mobile<\/a><\/p>\r\n\r\n

    Local and Remote meta stores are the two types of Hive meta stores.<\/p>\r\n\r\n\r\n\r\n

    11. What is the difference between Local and Remote meta stores?<\/h2>\r\n\r\n\r\n\r\n

    Local meta stores run on the same Java Virtual Machine (JVM) as the Hive<\/strong> service, whereas remote meta stores run on a separate, distinct JVM.<\/p>\r\n\r\n\r\n\r\n

    12. What is the default Apache Hive <\/strong>metastore database?<\/h2>\r\n\r\n\r\n\r\n

    The default database for metastore is the embedded Derby database provided by Hive, which is backed by the local disk.<\/p>\r\n\r\n\r\n\r\n

    13. Can multiple users use one metastore?<\/h2>\r\n\r\n\r\n\r\n

    No, metastore sharing is not supported by Hive.<\/p>\r\n\r\n\r\n\r\n

    14. What are the three different modes in which Hive<\/strong> can be operated?<\/h2>\r\n\r\n\r\n\r\n

    The three modes in which Hive can be operated are Local mode, distributed mode, and pseudo-distributed mode.<\/p>\r\n\r\n\r\n\r\n

    15. Is there a data type in Hive<\/strong> to store date information?<\/h2>\r\n\r\n\r\n\r\n

    The TIMESTAMP data type in Hive stores all data information in java.sql.timestamp format.<\/p>\r\n\r\n\r\n\r\n

    16. Why is partitioning used in Hive<\/strong>?<\/h2>\r\n\r\n\r\n\r\n

    Partitioning is used in Hive as it allows for the reduction of query latency. Instead of scanning entire tables, only relevant partitions and corresponding datasets are scanned.<\/p>\r\n\r\n\r\n\r\n

    17. What is dynamic partitioning, and when is it used?<\/h2>\r\n

    Dynamic partitioning is the one where the values of the partition column will be known in the runtime, I.e, during loading of data into the Hive table<\/p>\r\n

    A dynamic partition can be used in the following two cases:<\/p>\r\n