Hive Partitioning Configuration

posted on Nov 20th, 2016

Apache Hive

Apache Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. The traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over a distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like Queries (HiveQL) into the underlying Java API without the need to implement queries in the low-level Java API. Since most of the data warehousing application work with SQL based querying language, Hive supports easy portability of SQL-based application to Hadoop.

Pre Requirements

1) A machine with Ubuntu 14.04 LTS operating system

2) Apache Hadoop 2.6.4 pre installed (How to install Hadoop on Ubuntu 14.04)

3) Apache Hive 2.1.0 pre installed (How to Install Hive on Ubuntu 14.04)

Hive Partitioning Configuration

You can set partitioning configuration in 2 ways

1) hive-site.xml


    <description>Whether or not to allow dynamic partitions in DML/DDL.</description>
      In strict mode, the user must specify at least one static partition
      in case the user accidentally overwrites all partitions.
      In nonstrict mode all partitions are allowed to be dynamic.
    <description>Maximum number of dynamic partitions allowed to be created in total.</description>
    <description>Maximum number of dynamic partitions allowed to be created in each mapper/reducer node.</description>

2) Hive shell

$ hive

set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions=1000;
set hive.exec.max.dynamic.partitions.pernode=1000;

Partitioning Table Syntax

CREATE [EXTERNAL] TABLE table_name (col_name_1 data_type_1, ....) 
PARTITIONED BY (col_name_n data_type_n [COMMENT col_comment], ...);

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