Introduction to Hive and what it is to install hiveHive is a data warehouse that uses SQL scripts toHive contains several enginesInterpreter, compiler, optimizer, etc.Contact HiveFirst we go into the appropriate official document, the command to contact Hive uses https://cwiki.apache.org/confluence/display/Hive/LanguageManualThen we open the command line modeUsag
Create a table: hive> Create Table pokes (FOO int, bar string); creates a table called pokes with two columns, the first being an integer and the other a string
Create a new table with the same structure as other hive> Create Table new_table like records;
Create a partition table: hive> Create Table logs (TS bigint, line string) partitioned by (DT string, country
Recently combined with specific projects, set up Hadoop+hive, before running Hive to first set up a good Hadoop, about the construction of Hadoop has three models, in the following introduction, I mainly used the pseudo distribution of Hadoop installation mode. Write it down for you to share.Preparatory work:all of the above downloaded installation packages are in the/usr/local/hadoop directory after the de
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1. Hive Structure
Hive is a data warehouse infrastructure built on Hadoop. It provides a range of tools that can be used for data extraction conversion loading (ETL), a mechanism that can store, query, and analyze large-scale data stored in Hadoop. Hive defines a simple class-SQL query language called QL, which allows us
Hive Remote Mode
1 download and install MySQL and start the service (my MySQL is installed under the host Windows)
2 Create a database in MySQL to hold hive metadata and create an account for the database and give the required permissions
3 Download and Unzip hive
4 Configuring Environment Variables for hive
5 Configu
;Using the database: use MySQL;Show table: Show tables;Second, the installation and deployment of hive1. First download the Hive installation package: Hive-0.12.tar.gz upload the installation package to the directory that will be installed on the virtual machine2, use the command to extract the installation package: TAR–ZXVF hive-0.12.tar.gz3. Modify the file in
Hive is now the most common and inexpensive solution for building data warehouses in the Big data era, although there are also other rising stars such as Impala, but the status of hive is not yet shaken in terms of functionality and stability.In fact, this blog is mainly to talk about SMB join, join is the most core part of the whole mr/hive, is the part of each
Recently in the data analysis of a traffic flow, the demand is for a huge amount of urban traffic data, need to use MapReduce cleaning after importing into hbase storage, and then using the Hive External table associated with hbase, hbase data query, statistical analysis, Save the analysis results in a hive table, and finally use Sqoop to import the data from that table into MySQL. The whole process is prob
1. Installation EnvironmentJDK1.7.0 centOS6.4 hive0.13.1 cdh5.3.6 hadoop2.5.0 MySQL
2, Hive functional Framework Introduction
Hive is a tool for any size data analysis in SQL style, characterized by the use of SQL commands similar to relational databases. It is characterized by the large data of Hadoop processed through SQL, the scale of data can be scaled to 100pb+, the data form can be structural or unst
Environmental requirements:MysqlHadoopThe hive version is: Apache-hive-1.2.1-bin.tar1. Setting Up Hive UsersEnter the MySQL command line to create a hive user and give all permissions:Mysql-uroot-prootMysql>create user ' hive ' identified by '
Source: http://mp.weixin.qq.com/s?__biz=MjM5NzA1MTcyMA==mid=202904638idx=2sn= 21dd20438e32a24e78e8c33dd4a0991escene=1#rdThe 9 books listed in this article are considered great books in the Java programmer community. When a programmer begins to learn Java, his first question should be how to choose a book as a guide to learning Java. This problem also shows that, compared to other tutorials and blogs, Java
1. Hive Introduction 1.1 belongs to the role of data warehouse in the hadoop ecosystem. It can manage data in hadoop and query data in hadoop. Basically, hive is an SQL parsing engine. Hive can convert SQL queries to MapReduce jobs for running. Hive has a set of Ing tools
1. Hive
Project report system using open source Mondrian and Saiku as a tool to achieve, and now I have to be familiar with the OLAP this piece of things, the first thing to face is Mondrian this mountain, Listen to their previous developer said Mondrian inside there will be a lot of pits, especially performance problems, in the previous test process himself also encountered some problems, but at that time did not how to record a two months to almost forget how to solve. But at that time for Mondrian
There are no complex partition types (range partitions, list partitions, hash partitions, and hybrid partitions) to create partition tables in hive ). Partition columns are not an actual field in the table, but one or more pseudo columns. This means that the partition column information and data are not saved in the table data file.The following statement creates a simple partition table:
Create Table partition_test(Member_id string,Name string)Partit
One, several ways of hive data import
Start by listing the data and hive tables that describe the following ways of importing.
Hive table:
Create Testa:
CREATE TABLE Testa (
ID INT,
name string, area
string
) partitioned by (Create_time string) ROW FORMAT DEL imited FIELDS terminated by ', ' STORED as textfile;
Create TESTB:
CREATE TABLE TESTB (
ID INT,
Label:Transferred from: http://www.open-open.com/lib/view/open1400644430159.html Hive and Impala seem to be the company or the research system commonly used, the former more stable point, the implementation of the way is mapreduce, because when using hue, in the GroupBy Chinese, there are some problems, and see write Long SQL statements, often see a lot of job, So you want to know how the next hive translat
Use of Union
The union is used to combine the result set of multiple SELECT statements into a single result set. The Union ALL (Bag Union) is currently supported. Duplicate rows cannot be eliminated, and the number of columns returned by each SELECT statement must be the same as the name, otherwise a syntax error is thrown.
Select_statement UNION ALL select_statement UNION ALL select_statement .....
If you have to do some extra processing of the result set of the Union, the entire statement c
To better use hive, I took out the security section of Programming hive and translated it.Hive also supports quite a few rights management functions to meet the general Data Warehouse usage.Hive configures the default permissions for new files by a default setting.XML code
property>
name>hive.files.umask.valuename>
value>0002value>
description>the dfs.umask value for the
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