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 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
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 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
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
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/
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)
[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"
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
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
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
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/
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
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 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
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