hive-0.12升级成hive 0.13.1
安装了0.12之后，听说0.13.1有许多新的特性，包括永久函数，所以想更新成0.13版的（元数据放在mysql中）
新特性详见
http://zh.hortonworks.com/blog/announcing-apache-hive-0-13-completion-stinger-initiative/
1.下载0.13.1压缩包
地址http://mirrors.hust.edu.cn/apache/hive/
打开后有
点开hive-0.13.1,有如下两个文件
下载apache-hive-0.13.1-bin.tar.gz即可，而src.tar.gz是源代码压缩包，不用下载，
2.解压压缩包
sudo tar xzvf apache-hive-0.13.1-bin.tar.gz -C /opt 我解压到了/opt下
3.执行升级脚本进行mysql元数据库的升级
执行以下命令
cd /opt/apache-hive-0.13.1-bin/scripts/metastore/upgrade/mysql
ls
在文件夹下有如下文件
001-HIVE-972.mysql.sql hive-schema-0.13.0.mysql.sql
002-HIVE-1068.mysql.sql hive-schema-0.3.0.mysql.sql
003-HIVE-675.mysql.sql hive-schema-0.4.0.mysql.sql
004-HIVE-1364.mysql.sql hive-schema-0.4.1.mysql.sql
005-HIVE-417.mysql.sql hive-schema-0.5.0.mysql.sql
006-HIVE-1823.mysql.sql hive-schema-0.6.0.mysql.sql
007-HIVE-78.mysql.sql hive-schema-0.7.0.mysql.sql
008-HIVE-2246.mysql.sql hive-schema-0.8.0.mysql.sql
009-HIVE-2215.mysql.sql hive-schema-0.9.0.mysql.sql
010-HIVE-3072.mysql.sql hive-txn-schema-0.13.0.mysql.sql
011-HIVE-3649.mysql.sql README
012-HIVE-1362.mysql.sql upgrade-0.10.0-to-0.11.0.mysql.sql
013-HIVE-3255.mysql.sql upgrade-0.11.0-to-0.12.0.mysql.sql
014-HIVE-3764.mysql.sql upgrade-0.12.0-to-0.13.0.mysql.sql
015-HIVE-5700.mysql.sql upgrade-0.5.0-to-0.6.0.mysql.sql
016-HIVE-6386.mysql.sql upgrade-0.6.0-to-0.7.0.mysql.sql
017-HIVE-6458.mysql.sql upgrade-0.7.0-to-0.8.0.mysql.sql
018-HIVE-6757.mysql.sql upgrade-0.8.0-to-0.9.0.mysql.sql
hive-schema-0.10.0.mysql.sql upgrade-0.9.0-to-0.10.0.mysql.sql
hive-schema-0.11.0.mysql.sql upgrade.order.mysql
hive-schema-0.12.0.mysql.sql
用hive用户登录mysql(hive 0.12.0的用户)
mysql-h localhost -u hive -p
执行upgrade-0.12.0-to-0.13.0.mysql.sql脚本
mysql> use hive
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> source upgrade-0.12.0-to-0.13.0.mysql.sql
执行过程如下：
+--------------------------------------------------+
| |
+--------------------------------------------------+
| Upgrading MetaStore schema from 0.12.0 to 0.13.0 |
+--------------------------------------------------+
1 row in set, 1 warning (0.00 sec)
+-----------------------------------------------------------------------+
| |
+-----------------------------------------------------------------------+
| < HIVE-5700 enforce single date format for partition column storage > |
+-----------------------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)
Query OK, 0 rows affected (0.22 sec)
Rows matched: 0 Changed: 0 Warnings: 0
+--------------------------------------------+
| |
+--------------------------------------------+
| < HIVE-6386: Add owner filed to database > |
+--------------------------------------------+
1 row in set, 1 warning (0.00 sec)
Query OK, 1 row affected (0.33 sec)
Records: 1 Duplicates: 0 Warnings: 0
Query OK, 1 row affected (0.16 sec)
Records: 1 Duplicates: 0 Warnings: 0
+---------------------------------------------------------------------------------------------+
| |
+---------------------------------------------------------------------------------------------+
| <HIVE-6458 Add schema upgrade scripts for metastore changes related to permanent functions> |
+---------------------------------------------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)
Query OK, 0 rows affected (0.06 sec)
Query OK, 0 rows affected (0.06 sec)
+----------------------------------------------------------------------------------+
| |
+----------------------------------------------------------------------------------+
| <HIVE-6757 Remove deprecated parquet classes from outside of org.apache package> |
+----------------------------------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)
Query OK, 0 rows affected (0.04 sec)
Rows matched: 0 Changed: 0 Warnings: 0
Query OK, 0 rows affected (0.01 sec)
Rows matched: 0 Changed: 0 Warnings: 0
Query OK, 0 rows affected (0.01 sec)
Rows matched: 0 Changed: 0 Warnings: 0
Query OK, 0 rows affected (0.07 sec)
Query OK, 0 rows affected (0.12 sec)
Query OK, 0 rows affected (0.07 sec)
Query OK, 0 rows affected (0.06 sec)
Query OK, 1 row affected (0.05 sec)
Query OK, 0 rows affected (0.06 sec)
Query OK, 0 rows affected (0.15 sec)
Records: 0 Duplicates: 0 Warnings: 0
Query OK, 0 rows affected (0.06 sec)
Query OK, 1 row affected (0.05 sec)
Query OK, 0 rows affected (0.07 sec)
Query OK, 0 rows affected (0.06 sec)
Query OK, 1 row affected (0.05 sec)
Query OK, 1 row affected (0.07 sec)
Rows matched: 1 Changed: 1 Warnings: 0
+-----------------------------------------------------------+
| |
+-----------------------------------------------------------+
| Finished upgrading MetaStore schema from 0.12.0 to 0.13.0 |
+-----------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)
成功完成
4.在mysql中新创建一个用户hivenew给hive0.13.1用
root用户登录mysql创建hive用户并授权，执行命令：
use mysql;
insert into user(Host,User,Password)values("localhost","hivenew",password("hivenew"));密码也是hivenew
GRANTALL PRIVILEGES ON *.* TO 'hivenew'@'localhost' IDENTIFIED BY 'hivenew';
FLUSH PRIVILEGES;
可以用hivenew用户登录观察是否创建用户成功
授予用户hive足够大的权限
GRANT ALL PRIVILEGES ON *.* TO'hive'@'localhost' IDENTIFIED BY 'hive';
FLUSH PRIVILEGES;
可以用hive用户登录观察是否创建用户成功
hadoop@ubuntu:/usr/local$ mysql -h localhost -uhive -p
5.将mysql的 jdbc拷贝到apache-hive-0.13.1-bin/lib文件夹下
cp mysql-connector-java-5.1.31/*.jar apache-hive-0.13.1-bin/lib (这个jar包hive .12.0版本时已经配置好了)
6.开始配置文件千万不可以把0.12.0的文件直接复制过来，会导致无法成功
首先复制配置文件
hadoop@ubuntu:/usr/local/hadoop/hive/conf$cphive-default.xml.template hive-default.xml
hadoop@ubuntu:/usr/local/hadoop/hive/conf$cp hive-default.xml.templatehive-site.xml
hadoop@ubuntu:/usr/local/hadoop/hive/conf$cp hive-env.sh.template hive-env.sh
hadoop@ubuntu:/usr/local/hadoop/hive/conf$cp hive-log4j.properties.template hive-log4j.properties
再创建存储目录
hadoop@ubuntu:/usr/local/hadoop/hive$mkdir -p /usr/local/hadoop/hive-0.13.1/warehouse
hadoop@ubuntu:/usr/local/hadoop/hive$mkdir -p /usr/local/hadoop/hive-0.13.1/log
然后配置hive-env.sh文件
用vim打开
将exportHADOOP_HEAPSIZE=1024前面的‘#’去掉，当然可以根据自己的环境对这个默认的1024进行优化；
把#去掉使得改动生效
将exportHADOOP_HOME前面的‘#’号去掉，并让它指向您所安装hadoop的目录，我的/usr/local/hadoop;
将exportHIVE_CONF_DIR=/opt/apache-hive-0.13.1-bin 并且把‘#’号去掉;
将exportHIVE_AUX_JARS_PATH=/opt/apache-hive-0.13.1-bin/lib,并且把‘#’号去掉。
esc(键) :wq
配置hive-site.xml,改以下几个地方
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/usr/local/hadoop/hive-0.13.1/warehouse</value>//与上面创建的文件夹一致
<description>location of default database for thewarehouse</description>
</property>
#存放hive相关日志的目录
<property>
<name>hive.querylog.location</name>
<value>/usr/local/hadoop/hive-0.13.1/log</value>
<description>
Location of Hive run time structured log file
</description>
</property>
接着修改hive-site.xml 这一步将mysql与hive连接
<property>
<name>hive.metastore.local</name>
<value>true</value>
</property>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://localhost:3306/hivenew?createDatabaseIfNotExist=true</value>//这次新创建的元数据库是hivemew
<description>JDBC connect string for aJDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for aJDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hivenew</value>//用新创建的用户
<description>username to use againstmetastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hivenew</value>
<description>password to use againstmetastore database</description>
</property>
</span>
<pre name="code" class="html"> <property> <name>hive.stats.dbclass</name> <value>jdbc:mysql</value> <description>The default database that stores temporary hive statistics.</description> </property> <property> <name>hive.stats.jdbcdriver</name> <value>com.mysql.jdbc.Driver</value> <description>The JDBC driver for the database that stores temporary hive statistics.</description> . </property> <property> <name>hive.stats.dbconnectionstring</name> <value>jdbc:mysql://localhost:3306/hivenew</value> description>The default connection string for the database that stores temporary hive statistics.</description> </property>
另外为了避免启动时发生警报，所以把hive.metastore.ds.retry打头的都换成 hive.hmshandler.retry（retry后面不动）
7.激动人心的时刻到了，启动hive
bin/hive
再看看mysql里有没有元数据库
mysql -h localhost -u hivenew -p
mysql> use hivenew;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> show tables;
+---------------------------+
| Tables_in_hivenew |
+---------------------------+
| BUCKETING_COLS |
| CDS |
| COLUMNS_V2 |
| DATABASE_PARAMS |
| DBS |
| FUNCS |
| FUNC_RU |
| GLOBAL_PRIVS |
| PARTITIONS |
| PARTITION_KEYS |
| PARTITION_KEY_VALS |
| PARTITION_PARAMS |
| PART_COL_STATS |
| ROLES |
| SDS |
| SD_PARAMS |
| SEQUENCE_TABLE |
| SERDES |
| SERDE_PARAMS |
| SKEWED_COL_NAMES |
| SKEWED_COL_VALUE_LOC_MAP |
| SKEWED_STRING_LIST |
| SKEWED_STRING_LIST_VALUES |
| SKEWED_VALUES |
| SORT_COLS |
| TABLE_PARAMS |
| TAB_COL_STATS |
| TBLS |
| VERSION |
+---------------------------+
29 rows in set (0.00 sec)
hive 0.13.1竟然只有29个表,hive-0.12.0有40个表呢
更新成功！！！
8.要安装hive 0.13.1网络接口的见我的另外一篇博客