hive active

[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

suitable users; Hive is already reducing the performance gap with other engines. Most of the replacements for Hive were introduced in 2012, and analysts waited for hive queries to be completed until they committed suicide. However, when Impala, Spark, Drill and other big strides, hive just followed, slowly improve

# 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 can convert class SQL query statements to the map reduce task of Hadoop, so that people familiar with relational databases can also take advantage of the powerful parallel computing power of Hadoop. Hive provides powerful built-in function support, but there are always special cases where built-in functions cannot be overwritten, which requires us to define our own functions. Next, let's take a look at

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/

[Spark] [Hive] [Python] [SQL] A small example of Spark reading a hive table$ cat Customers.txt1Alius2Bsbca3Carlsmx$ hiveHive>> CREATE TABLE IF not EXISTS customers (> cust_id String,> Name string,> Country String>)> ROW FORMAT delimited fields TERMINATED by ' \ t ';hive> Load Data local inpath '/home/training/customers.txt ' into table customers;