hive wikipedia

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Hadoop+hive Deployment Installation Configuration __hadoop

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

Install in two Hive Modes

Install the data warehouse tool in two Hive modes to convert the raw structured data under Hadoop into tables in Hive. HiveQL, a language almost identical to SQL, supports updates, indexes, and transactions. It can be seen as a er from SQL to Map-Reduce. Provides interfaces such as shell, JDBCODBC, thrift, and Web. I. Embedded Mode Install the data warehouse tool in two

"Go" Hive Base: Partition, bucket, Sort Merge bucket Join

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

Import hive statistical analysis results into MySQL database table (i)--sqoop Import method

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

(i) Installation, deployment and testing of hive

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

Sqoop command, MySQL import to HDFs, HBase, Hive

'--table TB_ Region--hbase-table Mysql_trade_dev--hbase-row-key region_id--column-family Region 4.3 Verification Scan ' Mysql_trade_dev 'Count ' Mysql_trade_dev ' 5. Import Hive Bin/sqoop Import--connect jdbc:mysql://192.168.1.187:3306/trade_dev--username ' mysql '--password ' 111111 '--table TB_ Region--hive-import--create-hive-table

Hive The latest data operation detailed (super detail)

The ability of data manipulation is the key to large data analysis. Data operations mainly include: Change (Exchange), move (moving), sort (sorting), transform (transforming). Hive provides a variety of query statements, keywords, operations, and methods for data manipulation. Data change data changes mainly include: LOAD, INSERT, IMPORT, and EXPORT 1. The load data load keyword is useful for moving data into hive

HIVE[6] HiveQL Query

6.1 SELECT ... From statementhive> SELECT name,salary from employees;--General Queryhive>select e.name, e.salary from Employees e;--alias query is also supported when a user selects a column that is a collection data type, Hive uses JSON syntax to apply to the output:hive> SELECT name,subordinates from employees;Display of the array type of John Doe ["Mary Smith", "Todd Jones"]hive>select name,deductions fr

Install and configure hive-2.1.0 under Ubuntu system

privileges in hive_metadata.* to ' hive ' @ ' percent ' identified by ' hive ';Query OK, 0 rows Affected (0.00 sec)Mysql> Grant all privileges in hive_metadata.* to ' hive ' @ ' localhost ' identified by ' hive ';Query OK, 0 rows Affected (0.00 sec)Mysql> Grant all privileges in hive_metadata.* to '

Install hive (including mysql)

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

Hive as a data source for Mondrian

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

Static and Dynamic partitions in hive

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

Several ways to hive data import and export

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,

Hive Pseudo-Distribution mode installation

1. Installation and ConfigurationYou can install a stable version of hive by downloading a compressed package, or you can download the source code to compile it. 1.1 running HiveServer2 and Beeline 1.2 Requirementsjava1.7+, official website recommended 1.8 hadoop2.x 1.3 Installing a stable version of HiveDownload the current stable version of http://mirrors.cnnic.cn/apache/hive/

Installation and configuration of hive

1, because I use MySQL as a hive metabase, so install MySQL first.Reference: http://www.cnblogs.com/hunttown/p/5452205.htmlLogin command: Mysql-h host address-u user name-P user PasswordMysql–u root # initial login without passwordChange PasswordFormat: Mysqladmin-u username-P Old password password new passwordMysql>mysqladmin-uroot–password 123456Note: Because Root does not have a password at the beginning, the-p old password can be omitted.Create

Several data import methods of hive

Several data import methods of hiveToday's topic is a summary of several common data import methods for hive, which I summarize in four ways:(1), import data from the local file system to the hive table;(2), import data from HDFs to hive table;(3), the corresponding data from other tables are queried and imported into the hiv

[Hive-languagemanual] Create/drop/grant/revoke Roles and Privileges/show use

Create/drop/grant/revoke Roles and PrivilegesHive Default authorization-legacy Mode has information about these DDL statements: CREATE ROLE GRANT ROLE REVOKE ROLE GRANT Privilege_type REVOKE Privilege_type DROP ROLE SHOW ROLE GRANT SHOW GRANT For SQL standard based authorization in Hive 0.13.0 and later releases, see these DDL statements: Role Management Commands CREATE ROLE GRANT ROL

Integration of Hadoop Hive and Hbase

Document directory 1. Hadoop and Hbase have been installed successfully. 2. Copy the hbase-0.90.4.jar and zookeeper-3.3.2.jar to hive/lib. 3. Modify the hive-site.xml file in hive/conf and add the following content at the bottom: 4. Copy the hbase-0.90.4.jar to hadoop/lib on all hadoop nodes (including the master. 1. Start a Single Node 2. Start the clust

Hive metabase Configuration, metadata

QQ Exchange Group: 335671559, Welcome to Exchange First, what is hive metadata. Hive metadata is some of the basic elements of hive, including the basic properties of hive tables, as follows (1) The database name, table name, field name and type of Hive table, partition fie

Hive Learning Notes and grammar

Http://zhangrenhua.com Blog has moved 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

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