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Hive (iv): C # accesses hive through ODBC

Label:After the configuration of the Hive ODBC driver is successful, it becomes easier to access it through C #, which is divided into query and update operations, directly attached to the test code. The target platform for C # Engineering compilation needs to be noted in this process Read-Write access code example: Public classhiveodbcclient {/// /// /// Public Statichiveodbcclient Current {Get{return Newhiveodbcclie

Use of hive UNION all and hive subqueries

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

Hive optimization----Controlling the number of maps in hive

1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can not be customized modification);2. For example:A) Assuming that the input directory has 1 file A and a size of 780M, then Hadoop separates the file a into

Hive Getting Started note-----Architecture and application Introduction

Hive is a framework that occupies and plays an important role in the ecosystem architecture of Hadoop, and it is used in many practical businesses, so that the popularity of Hadoop is largely due to the presence of hive. So what exactly is hive and why it occupies such an important position in the Hadoop family, this article will focus on Hive's architecture (arc

Shell script Execution Hive Statement | Hive creates partitioned tables by date | Linux Schedule Programs

#!/bin/bashsource/etc/profile;################################################### Author:ouyangyewei # # # # Content:combineorder algorithm ############## ###################################### Change Workspace to herecd/cd/home/deploy/recsys/workspace/ouyangyewei# Generate Product_sell datayesterday=$ (date-d '-1 day ' +%y-%m-%d ') lastweek=$ (date-d '-1 week ' +%y-%m-%d ')/usr/local/ cloud/hive/bin/hive

HIVE[2] Basic Introduction

2.3 Hive Internal Introduction: P44The jar file under the $HIVE _home/lib is a specific functional part; (CLI module) Other components, Thrift services, remote access to other process features, and the ability to access hive using JDBC and ODBC; all hive clients need a Metastore Service (meta-data Service), which is us

"Gandalf" Hive 0.13.1 on Hadoop2.2.0 + oracle10g deployment Detailed explanation

Label: Environment:hadoop2.2.0 hive0.13.1 Ubuntu 14.04 LTS java version "1.7.0_60"oracle10g * * * Welcome reprint. Please indicate source * * * http://blog.csdn.net/u010967382/article/details/38709751Download the installation package at the following addressHttp://mirrors.cnnic.cn/apache/hive/stable/apache-hive-0.13.1-bin.tar.gz The installation package is extracted to the server/home/fulong/

Hive-site.xml configuration of hive MySQL for metadata

//server110 :3306/hive?createdatabaseifnotexist=trueHive-site.xml configuration of hive MySQL for metadata

Three Ways to install hive (inline mode, local mode remote mode)

First, the installation mode introduction:Hive official on-line introduces 3 kinds of hive installation methods, corresponding to different application scenarios. 1, in-line mode (meta data to protect the village in the embedded derby species, allow a session link, try multiple session links will be error) 2. Local mode (install MySQL locally instead of Derby store metadata) 3. Remote mode (remotely install MySQL instead of Derby storage metadata)

Hive lateral view statement (translated from hive wiki)

[A "," B "," C "] 3 [D "," E "," F "] 4 [D "," E "," F "] Add a lateral view: Select mycol1, mycol2 from basetable lateral view explode (col1) mytable1 as mycol1 lateral view explode (col2) mytable2 as mycol2; The execution result is: Int mycol1 String mycol2 1 "" 1 "B" 1 "C" 2 "" 2 "B" 2 "C" 3 "D"

Hive Union (translated from hive wiki)

Union syntax Select_statement Union all select_statement... Union is used to combine the result sets of multiple select statements into an independent result set. Currently, only union all (BAG Union) is supported ). Duplicate rows are not eliminated. The number and name of columns returned by each select statement must be the same. Otherwise, a syntax error is thrown. If some extra processing is required for the Union result, the entire statement can be embedded in the from clause, as

Spark on Hive configures Hive's metastore to MySQL

Label: Start Thriftserver in spark after modification and then connect in beeline mode under Spark's Bin or write a. sh file every time you execute it directly . sh file contents such as:./beeline-u jdbc:hive2://yangsy132:10000/default-n root-p YangsiyiSpark on Hive configures Hive's metastore to MySQL

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 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/

Hive Base Query Notes

#= = Use regular expression = = Hive (ODS) > select symbol, ' price.* ' from stocks; = = Table Structure = = Hive (ODS) > > Desc emp1; OK col_name data_type Comment name string salary float Subordinates Array = = Query array, struct, element in map = =

Installation of hive combined with MySQL

Tags: mysql hive#HIVE可以在任意节点搭建, experiment in masterLink: http://pan.baidu.com/s/1i4LCmAp Password: 302x hadoop+hive Download# #原封不动的复制, will die, please fill in the relevant parameters and paths according to the actual1. Hive InfrastructureA, based on the already built HadoopB. Download the

"Gandalf" Hive 0.13.1 on Hadoop2.2.0 + oracle10g deployment Detailed

Tags: hiveEnvironment:Hadoop2.2.0hive0.13.1ubuntu 14.04 Ltsjava Version "1.7.0_60"oracle10g * * * Welcome reprint, please indicate the source * * * http://blog.csdn.net/u010967382/article/details/38709751Download the installation package to the following addressHttp://mirrors.cnnic.cn/apache/hive/stable/apache-hive-0.13.1-bin.tar.gzunpack the installation package to the server/home/fulong/

Hive Metastore Upgrade

# CD $HIVE _home/scripts/metastore/upgrade/mysql [Dev root @ sd-9c1f-2eac/usr/local/src/apache-hive-2.1.1-bin/scripts/metastore/upgrade/mysql]# ls001-hive-972.mysql.sql 027-hive-12819.mysql.sql Hive-schema-2.0.0.mysql.sql002-hive-

Hive Interface Introduction (Web UI/JDBC)

Hive Interface Introduction (Web UI/JDBC) Experiment Introduction This experiment learns the two interfaces of Hive: Web UI and JDBC. First, the experimental environment explained 1. Environment Login No password automatic login, system user name Shiyanlou, password Shiyanlou 2. Introduction to the Environment This experiment environment uses the Ubuntu Linux environment with the deskto

Hive Join and hivejoin

Hive Join and hivejoin Https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Joins LanguageManualJoins Join Syntax Hive supports the following table join syntax structure: Join_table: Table_reference JOIN table_factor [join_condition] | Table_reference {LEFT | RIGHT | FULL} [OUTER] JOIN table_reference join_condition | Table_reference left semi JOINtab

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