hive无法启动客户端 hive客户端配置

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mob64ca140a59b0 2023-09-15 21:48:28

文章标签 hive无法启动客户端 Hive Hbase Metastore Hiveserver2 文章分类 Hive 大数据

一、 Hive整合Hbase参考连接：

连接地址：

二、 hive配置Metastore

2、配置Metastore

Hadoop配置

进入到hadoop软件的配置目录

# cd $HADOOP_HOME/etc/hadoop
# vim core-site.xml
# 添加如下配置
  <property>
    <name>hadoop.proxyuser.root.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.root.groups</name>
    <value>*</value>
  </property>

注意：如果你使用的hadoop用户则name配置hadoop.proxyuser.hadoop.hosts和hadoop.proxyuser.hadoop.groups

Hive配置

进入到Hive软件的配置目录

不设置用户名密码的配置，连接Hbase的配置

# cd $HIVE_HOME/conf
# vim hive-site.xml
# 添加如下内容
   <property>
        <name>hive.metastore.uris</name>
        <value>thrift://h1:9083</value>
   </property>、
   <!--
    如果连接HBase需要将beeline连接hiveserver2的用户名密码禁用（暂时先这样设置）
    -->
   <property>
        <name>hive.server2.enable.doAs</name>
        <value>false</value>
        <description>
　　　  如果为True：Hive Server会以提交用户的身份去执行语句
　　　  如果为False：会以hive server daemon的admin user来执行语句
        </description>
    </property>

设置用户名密码的配置，不连接Hbase的配置

# cd $HIVE_HOME/conf
# vim hive-site.xml
# 添加如下内容
   <property>
        <name>hive.metastore.uris</name>
        <value>thrift://h1:9083</value>
   </property>、
   <!--配置hiveserver2用户名密码，目的是对外屏蔽到mysql真实的用户名密码 -->
   <property>
        <name>hive.server2.thrift.client.user</name>
        <value>root</value>
    </property>
    <property>
        <name>hive.server2.thrift.client.password</name>
        <value>root</value>
    </property>

至此配置完毕

三、启动

1、启动Metastore

# 前台启动
# hive --service metastore
2019-03-28 20:40:45: Starting Hive Metastore Server
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/software/hive-3.1.1/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/software/hadoop-3.1.2/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]

# 或后台启动
# hive --service metastore &

2、启动hiveserver2

# hive --service hiveserver2
# 或者(因为已经配置了环境变量，在hive的bin目录下有hiveserver2脚本)
# hiveserver2
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/software/hive-3.1.1/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/software/hadoop-3.1.2/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Hive Session ID = 83b12586-6bbe-4222-aa75-0a5df1da9df3
Hive Session ID = 04106346-c9b8-47ed-9be4-3c4c7dcc8804
Hive Session ID = 2f8adbe5-9f55-4a5d-84f5-cfd1d8865260
Hive Session ID = 111e0ec4-5137-4397-9f5b-cca045226581
OK

注意：由于hiveserver2启动比较慢，可以通过以下命令检查

# netstat -anp|grep 10000
tcp        0      0 192.168.247.11:39554    192.168.247.11:10000    ESTABLISHED 31370/java          
tcp6       0      0 :::10000                :::*                    LISTEN      31087/java          
tcp6       0      0 192.168.247.11:10000    192.168.247.11:39554    ESTABLISHED 31087/java

3、使用beeline连接

# 由于已经配置了hive环境变量，所有可用直接使用beeline命令
# 也可以进入到hive的bin目录下，执行 ./beeline
# beeline
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/software/hive-3.1.1/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/software/hadoop-3.1.2/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Beeline version 3.1.1 by Apache Hive
beeline>
# 使用jdbc连接，期间会让输入用户名密码，由于已经配置了无需用户名密码，所以直接回车（Enter）即可
beeline> !connect jdbc:hive2://h1:10000
Connecting to jdbc:hive2://h1:10000
Enter username for jdbc:hive2://h1:10000: 
Enter password for jdbc:hive2://h1:10000: 
Connected to: Apache Hive (version 3.1.1)
Driver: Hive JDBC (version 3.1.1)
Transaction isolation: TRANSACTION_REPEATABLE_READ
0: jdbc:hive2://h1:10000>

4、测试

输入sql语句：show tables;

结果如下：

0: jdbc:hive2://h1:10000> show tables;
INFO  : Compiling command(queryId=root_20190328204908_23db4e7d-bd3d-4023-b403-90d42b79b8db): show tables
INFO  : Concurrency mode is disabled, not creating a lock manager
INFO  : Semantic Analysis Completed (retrial = false)
INFO  : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:tab_name, type:string, comment:from deserializer)], properties:null)
INFO  : Completed compiling command(queryId=root_20190328204908_23db4e7d-bd3d-4023-b403-90d42b79b8db); Time taken: 2.659 seconds
INFO  : Concurrency mode is disabled, not creating a lock manager
INFO  : Executing command(queryId=root_20190328204908_23db4e7d-bd3d-4023-b403-90d42b79b8db): show tables
INFO  : Starting task [Stage-0:DDL] in serial mode
INFO  : Completed executing command(queryId=root_20190328204908_23db4e7d-bd3d-4023-b403-90d42b79b8db); Time taken: 0.119 seconds
INFO  : OK
INFO  : Concurrency mode is disabled, not creating a lock manager
+----------------+
|    tab_name    |
+----------------+
| hbase_table_1  |
| spark_test     |
| test           |
+----------------+
3 rows selected (3.812 seconds)

其中test的是Hbase外部表，如果创建Hbase外部表，参考连接：

测试是否可用连接到hbase上

0: jdbc:hive2://h1:10000> select * from test;
INFO  : Compiling command(queryId=root_20190328204920_ae673cf6-4b71-4976-a98d-6dffcf56b486): select * from test
INFO  : Concurrency mode is disabled, not creating a lock manager
INFO  : Semantic Analysis Completed (retrial = false)
INFO  : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:test.key, type:string, comment:null), FieldSchema(name:test.id, type:int, comment:null), FieldSchema(name:test.name, type:string, comment:null)], properties:null)
INFO  : Completed compiling command(queryId=root_20190328204920_ae673cf6-4b71-4976-a98d-6dffcf56b486); Time taken: 8.094 seconds
INFO  : Concurrency mode is disabled, not creating a lock manager
INFO  : Executing command(queryId=root_20190328204920_ae673cf6-4b71-4976-a98d-6dffcf56b486): select * from test
INFO  : Completed executing command(queryId=root_20190328204920_ae673cf6-4b71-4976-a98d-6dffcf56b486); Time taken: 0.001 seconds
INFO  : OK
INFO  : Concurrency mode is disabled, not creating a lock manager
+-----------+----------+------------+
| test.key  | test.id  | test.name  |
+-----------+----------+------------+
| 1         | 1        | wx         |
| 2         | 2        | user       |
+-----------+----------+------------+
2 rows selected (43.231 seconds)
0: jdbc:hive2://h1:10000>

至此完毕

四、总结

1、异常一

Exception in thread "main" org.apache.hive.service.cli.HiveSQLException: java.io.IOException: org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed after attempts=36, exceptions:
Sat Jun 17 16:09:48 CST 2017, null, java.net.SocketTimeoutException: callTimeout=60000, callDuration=68116: row 'hhh_tj_atmosphere_history,,00000000000000' on table 'hbase:meta' at region=hbase:meta,,1.1588230740, hostname=slave3,16020,1497683020356, seqNum=0

这个异常就是连接无法Hbase异常。

解决：

#beeline连接hbase时这里要设置为false
#默认情况下，HiveServer2以提交查询的用户执行查询（true），如果hive.server2.enable.doAs设置为false，查询将以运行hiveserver2进程的用户运行

<property>
    <name>hive.server2.enable.doAs</name>
    <value>false</value>
</property>

2、异常二

User: root is not allowed to impersonate anonymous (state=08S01,code=0)

此异常是在hiveserver2启动时报的异常

解决：

# 在hadoop的配置目录下的core-site.xml文件添加如下内容
  <property>
    <name>hadoop.proxyuser.root.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.root.groups</name>
    <value>*</value>
  </property>

# 注意如果是其它的User：XXX..........，则将下面的root改为对应的用户。如hadoop，则为

# 在hadoop的配置目录下的core-site.xml文件添加如下内容
  <property>
    <name>hadoop.proxyuser.hadoop.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hadoop.groups</name>
    <value>*</value>
  </property>

备注：如果有其它问题，请多查看日志信息

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