• Hive 总：https://cwiki.apache.org/confluence/display/Hive/Home
• 本文参考：https://cwiki.apache.org/confluence/display/Hive/GettingStarted
• functions: https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF

安装

$ tar -xzvf hive-x.y.z.tar.gz
$ cd hive-x.y.z
$ export HIVE_HOME={{pwd}}
$ export PATH=$HIVE_HOME/bin:$PATH
  

你也可以选择编译hive源码

  $ git clone https://git-wip-us.apache.org/repos/asf/hive.git
  $ cd hive
  $ mvn clean package -Pdist
  $ cd packaging/target/apache-hive-{version}-SNAPSHOT-bin/apache-hive-{version}-SNAPSHOT-bin
  $ ls
  LICENSE
  NOTICE
  README.txt
  RELEASE_NOTES.txt
  bin/ (all the shell scripts)
  lib/ (required jar files)
  conf/ (configuration files)
  examples/ (sample input and query files)
  hcatalog / (hcatalog installation)
  scripts / (upgrade scripts for hive-metastore)
  
  #hive+hadoop一起编译
  mvn clean package -Phadoop-1,dist
  mvn clean package -Phadoop-2,dist

  

运行hive

hive两种模式，第一种是CLI模式直接是shell交互式运行，第二种模式是C-S模式也就是hive客户端-服务端模式hiveserver2

环境变量

#必要的环境变量
  #hadoop home
  $ export HADOOP_HOME=<hadoop-install-dir>

  $ $HADOOP_HOME/bin/hadoop fs -mkdir       /tmp
  $ $HADOOP_HOME/bin/hadoop fs -mkdir       /user/hive/warehouse
  $ $HADOOP_HOME/bin/hadoop fs -chmod g+w   /tmp
  $ $HADOOP_HOME/bin/hadoop fs -chmod g+w   /user/hive/warehouse
  #hive_HOME
  export HIVE_HOME=<hive-install-dir>

第一种模式：运行hive CLI

#直接运行命令
$ $HIVE_HOME/bin/hive

第二种模式

 #初始化模式
 $ $HIVE_HOME/bin/schematool -dbType <db type> -initSchema
 #启动hive Server
 $ $HIVE_HOME/bin/hiveserver2
 #启动hive 客户端
 $ $HIVE_HOME/bin/beeline -u jdbc:hive2://$HS2_HOST:$HS2_PORT
 #默认jdbc:hive2://localhost:10000
 $ $HIVE_HOME/bin/beeline -u jdbc:hive2://
 

HcatLog

#server
$HIVE_HOME/hcatalog/sbin/hcat_server.sh
#client
$ $HIVE_HOME/hcatalog/bin/hcat

WebHCat

$ $HIVE_HOME/hcatalog/sbin/webhcat_server.sh

hive的运行模式

分为两种，一种是mapreduce运行在本地，另外一种是运行在集群上

 hive> SET mapreduce.framework.name=local;
 hive> SET hive.exec.mode.local.auto=false;

DDL

详细参考DDL

hive> CREATE TABLE pokes (foo INT, bar STRING);
#分区的意思是hdfs存储时候的物理目录按照分区字符串来存取。
hive> CREATE TABLE invites (foo INT, bar STRING) PARTITIONED BY (ds STRING);
hive> CREATE TABLE t_hive (a int, b int, c int) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t';
#表描述
 hive> SHOW TABLES;
 hive> SHOW TABLES '.*s';
 hive> DESCRIBE invites;
 
 #alter
 hive> ALTER TABLE events RENAME TO 3koobecaf;
 hive> ALTER TABLE pokes ADD COLUMNS (new_col INT);
 hive> ALTER TABLE invites ADD COLUMNS (new_col2 INT COMMENT 'a comment');
 hive> ALTER TABLE invites REPLACE COLUMNS (foo INT, bar STRING, baz INT COMMENT 'baz replaces new_col2');
 #drop
 DROP TABLE pokes;

DML

详细参考DML
LOCAL 代表着文件在本地磁盘上，如果没有LOCAL那么代表着文件在HDFS上
OVERWRITE 代表如果记录存在那么覆盖，如果没有这个关键字在那么append上去

#本地文件
hive> LOAD DATA LOCAL INPATH './examples/files/kv1.txt' OVERWRITE INTO TABLE pokes;
#两个partition
hive> LOAD DATA LOCAL INPATH './examples/files/kv2.txt' OVERWRITE INTO TABLE invites PARTITION (ds='2008-08-15');
hive> LOAD DATA LOCAL INPATH './examples/files/kv3.txt' OVERWRITE INTO TABLE invites PARTITION (ds='2008-08-08');
#HDFS
hive> LOAD DATA INPATH '/user/myname/kv2.txt' OVERWRITE INTO TABLE invites PARTITION (ds='2008-08-15');

SQL

详细：LanguageManual+Select

SELECT

 hive> SELECT a.foo FROM invites a WHERE a.ds='2008-08-15';
 #HDFS
 hive> INSERT OVERWRITE DIRECTORY '/tmp/hdfs_out' SELECT a.* FROM invites a WHERE a.ds='2008-08-15';
 #本地
 hive> INSERT OVERWRITE LOCAL DIRECTORY '/tmp/local_out' SELECT a.* FROM pokes a;
 
   hive> INSERT OVERWRITE TABLE events SELECT a.* FROM profiles a;
  hive> INSERT OVERWRITE TABLE events SELECT a.* FROM profiles a WHERE a.key < 100;
  hive> INSERT OVERWRITE LOCAL DIRECTORY '/tmp/reg_3' SELECT a.* FROM events a;
  hive> INSERT OVERWRITE DIRECTORY '/tmp/reg_4' select a.invites, a.pokes FROM profiles a;
  hive> INSERT OVERWRITE DIRECTORY '/tmp/reg_5' SELECT COUNT(*) FROM invites a WHERE a.ds='2008-08-15';
  hive> INSERT OVERWRITE DIRECTORY '/tmp/reg_5' SELECT a.foo, a.bar FROM invites a;
  hive> INSERT OVERWRITE LOCAL DIRECTORY '/tmp/sum' SELECT SUM(a.pc) FROM pc1 a;
  
  

Group BY

#注意两种查询方式
hive> FROM invites a INSERT OVERWRITE TABLE events SELECT a.bar, count(*) WHERE a.foo > 0 GROUP BY a.bar;
hive> INSERT OVERWRITE TABLE events SELECT a.bar, count(*) FROM invites a WHERE a.foo > 0 GROUP BY a.bar;

join

  hive> FROM pokes t1 JOIN invites t2 ON (t1.bar = t2.bar) INSERT OVERWRITE TABLE events SELECT t1.bar, t1.foo, t2.foo;

MULTITABLE INSERT

  FROM src
  INSERT OVERWRITE TABLE dest1 SELECT src.* WHERE src.key < 100
  INSERT OVERWRITE TABLE dest2 SELECT src.key, src.value WHERE src.key >= 100 and src.key < 200
  INSERT OVERWRITE TABLE dest3 PARTITION(ds='2008-04-08', hr='12') SELECT src.key WHERE src.key >= 200 and src.key < 300
  INSERT OVERWRITE LOCAL DIRECTORY '/tmp/dest4.out' SELECT src.value WHERE src.key >= 300;

STREAMING

hive> FROM invites a INSERT OVERWRITE TABLE events SELECT TRANSFORM(a.foo, a.bar) AS (oof, rab) USING '/bin/cat' WHERE a.ds > '2008-08-09';

Hive 命令模式