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Which of the following is the commonly used hive services?

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Which of the following is the commonly used hive services?

Following are the commonly used Hive services: Command Line Interface (cli) Printing the contents of an RC file with the use of rcfilecat tool. HiveServer (hiveserver)

What are the basic interview questions for SQL?

SQL Interview Questions

  • What is Database?
  • What is DBMS?
  • What is RDBMS?
  • What is SQL?
  • What is the difference between SQL and MySQL?
  • What are Tables and Fields?
  • What are Constraints in SQL?
  • What is a Primary Key?

Can you use SQL in hive?

Using Apache Hive queries, you can query distributed data storage including Hadoop data. Hive supports ANSI SQL and atomic, consistent, isolated, and durable (ACID) transactions. You use familiar insert, update, delete, and merge SQL statements to query table data. The insert statement writes data to tables.

What is the difference between Cloudera Impala and hive?

Apache Hive might not be ideal for interactive computing whereas Impala is meant for interactive computing. Hive is batch based Hadoop MapReduce whereas Impala is more like MPP database. Hive supports complex types but Impala does not. Apache Hive is fault tolerant whereas Impala does not support fault tolerance.

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What is hive used as Hadoop query engine?

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

What is the function of Hadoop?

Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.

What are the 5 basic SQL commands?

There are five types of SQL commands: DDL, DML, DCL, TCL, and DQL.

  • Data Definition Language (DDL) DDL changes the structure of the table like creating a table, deleting a table, altering a table, etc.
  • Data Manipulation Language.
  • Data Control Language.
  • Transaction Control Language.
  • Data Query Language.

What is SQL Indexing?

A SQL index is used to retrieve data from a database very fast. Indexing a table or view is, without a doubt, one of the best ways to improve the performance of queries and applications. A SQL index is a quick lookup table for finding records users need to search frequently.

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What is Hadoop SQL?

SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements. By supporting familiar SQL queries, SQL-on-Hadoop lets a wider group of enterprise developers and business analysts work with Hadoop on commodity computing clusters.

How does Hive interact with Hadoop?

Hive is a data warehouse infrastructure software that can create interaction between user and HDFS. The conjunction part of HiveQL process Engine and MapReduce is Hive Execution Engine. Execution engine processes the query and generates results as same as MapReduce results. It uses the flavor of MapReduce.

What is cold start problem in hive?

In Hive, every query suffers this “cold start” problem. In contrast, Impala daemon processes are started at boot time, and thus are always ready to execute a query. Hadoop reuses JVM instances to reduce the startup overhead partially. However, it also introduces another problem when large heaps are in use.

Why is Impala faster than Hive?

Your analysts will get their answer way faster using Impala, although unlike Hive, Impala is not fault-tolerance. Impala is faster than Hive because it’s a whole different engine and Hive is over MapReduce (which is very slow due to its too many disk I/O operations).

How to prepare for a Hadoop job interview?

While it comes to prepare for a Hadoop job interview, you should be aware that question may arise on its several tools. Such as Flume , Sqoop , HBase , MapReduce , Hive and many more. So, in this blog, ”Hive Interview Questions” we are providing a list of most commonly asked Hive Interview Questions and answers in this year.

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Can we query data in real time in Hadoop?

On the contrary, in the relational database computing system, we can query data in real time, but it is not efficient to store data in tables, records, and columns when the data is huge. Hadoop also provides a scheme to build a column database with Hadoop HBase for runtime queries on rows.

What is Hadoop big data and how does it work?

Big data has been growing tremendously in the current decade. With Big Data comes the widespread adoption of Hadoop to solve major Big Data challenges. Hadoop is one of the most popular frameworks that is used to store, process, and analyze Big Data. Hence, there is always a demand for professionals to work in this field.

Where can I get in-depth knowledge on Hadoop?

To get in-depth knowledge on Hadoop, you can enroll in the live Hadoop Training from Intellipaat with 24/7 support and lifetime access! Big Data Hadoop professionals are among the highest-paid IT professionals in the world today.