{"id":1875,"date":"2019-05-31T09:53:28","date_gmt":"2019-05-31T09:53:28","guid":{"rendered":"https:\/\/prwatech.in\/blog\/?p=1875"},"modified":"2024-04-06T09:58:33","modified_gmt":"2024-04-06T09:58:33","slug":"hadoop-hive-partition-with-examples","status":"publish","type":"post","link":"https:\/\/prwatech.in\/blog\/hadoop\/hive\/hadoop-hive-partition-with-examples\/","title":{"rendered":"Hadoop Hive Partitioning"},"content":{"rendered":"

Hadoop Hive Partition with Examples<\/h1>\n

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Hadoop Hive Partition with Examples<\/strong>, In this tutorial, we will learn about introduction to Hive partition. Here, You will also learn various types of hive partitioning in Hadoop which are helpful for any Hadoop developers<\/a>. Are you looking for information on Hadoop hive partitioning in Hadoop technology<\/a>? Or the one who is casually glancing for the best platform which is providing Hadoop Hive partition with examples for beginners? Then you\u2019ve landed on the Right Platform which is packed with tons of tutorials of Partition in Hadoop hive. Follow the below mentioned Hadoop Hive Partition with Examples for Beginners which were originally designed by the world-class Trainers of Hadoop Training institute<\/a> Professionals.<\/p>\n

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Introduction to Hive Partition<\/strong><\/h2>\n

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Apache Hive<\/strong> organizes tables into partitions<\/strong>. Partitioning is a way of dividing a table into related parts based on the values of particular columns like date, city, and department. Each table in the hive can have one or more partition keys to identify a particular partition. Using partition it is easy to do queries on slices of the data.<\/p>\n

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Hive Partition test Case<\/h2>\n

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Create Table<\/strong><\/h3>\n

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Load data from the local machine or from any data source<\/strong><\/h3>\n

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Dataset<\/strong><\/h3>\n

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Create a partition table and provide column on which partition should be done<\/strong><\/h3>\n

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Now overwrite the partition table with the original table<\/strong><\/h3>\n

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As per our data set two partitions and default partition has been created on the basis of column<\/h3>\n

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Types of Hive Partitioning in Hadoop<\/h2>\n

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Static Partition in the hive<\/h3>\n

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Insert input data files individually into a partition table is Static Partition. Usually when loading files (big files) into\u00a0Hive tables\u00a0<\/strong>static partitions are preferred. Static Partition saves your time in loading data compared to dynamic partition. You \u201cstatically\u201d add a partition in the table and move the file into the partition of the table. Also, we can alter the partition in the static partition.<\/p>\n

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Dynamic partition in hive<\/h3>\n

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Single insert to partition table is know as a dynamic partition. Usually, the dynamic partition loads the data from the non-partitioned table. Dynamic Partition takes more time in loading data compared to static partition. When you have large data stored in a table then the Dynamic partition is suitable. If you want to partition a number of columns but you don\u2019t know how many columns then also dynamic partition is suitable. Dynamic partition there is no required where clause to use limit. we can\u2019t perform alter on the Dynamic partition.<\/p>\n

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