Ambari Hive 无法正常查询的解决

1.今天遇到一个错误,在连接到hive之后,无法执行任何命令。

$ beeline -u "jdbc:hive2://hostname.domain.cn:10000/default;principal=hive/[email protected];"
Connecting to jdbc:hive2://hostname.domain.cn:10000/default;principal=hive/[email protected];
Connected to: Apache Hive (version release-1.2.1-EDH-1.1.2)
Driver: Hive JDBC (version release-1.2.1-EDH-1.1.2)
Transaction isolation: TRANSACTION_REPEATABLE_READ
Beeline version release-1.2.1-EDH-1.1.2 by Apache Hive
0: jdbc:hive2://hostname.domain.cn:10000> show databases;

返回错误如下

Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.Hadoop.hive.ql.exec.DDLTask. MetaException
(message:For direct MetaStore DB connections, we don't support retries at the client level.) (state=08S01,code=1)

2. 百度这个错误,很多文档都提及是字符集的问题,需要保证mysql的字符集是latin1.

mysql>  show variables like '%collation_%';
+----------------------+-------------------+
| Variable_name        | Value            |
+----------------------+-------------------+
| collation_connection | latin1_swedish_ci |
| collation_database  | latin1_swedish_ci |
| collation_server    | latin1_swedish_ci |
+----------------------+-------------------+

3. 如果字符集不是latin1,需要手动执行(本次问题,不是这个,我的字符集,原本就是latin1)

mysql>use hive
mysql>alter database hive character set latin1;

4. 后来尝试重启一下hive,结果,metastore竟然启动失败。查看日志,说创建表失败。这个hive已经运行一段时间了,一直没有问题。对应的表也都是存在的,没有道理重建的。

Ambari Hive 无法正常查询的解决

5.日志输出如下:

Traceback (most recent call last):
  File "/var/lib/ambari-agent/cache/common-services/HIVE/0.12.0.2.0/package/scripts/hive_metastore.py", line 259, in <module>
    HiveMetastore().execute()
  File "/usr/lib/python2.6/site-packages/resource_management/libraries/script/script.py", line 280, in execute
    method(env)
  File "/var/lib/ambari-agent/cache/common-services/HIVE/0.12.0.2.0/package/scripts/hive_metastore.py", line 59, in start
    self.configure(env)
  File "/var/lib/ambari-agent/cache/common-services/HIVE/0.12.0.2.0/package/scripts/hive_metastore.py", line 73, in configure
    hive(name = 'metastore')
  File "/usr/lib/python2.6/site-packages/ambari_commons/os_family_impl.py", line 89, in thunk
    return fn(*args, **kwargs)
  File "/var/lib/ambari-agent/cache/common-services/HIVE/0.12.0.2.0/package/scripts/hive.py", line 320, in hive
    user = params.hive_user
  File "/usr/lib/python2.6/site-packages/resource_management/core/base.py", line 155, in __init__
    self.env.run()
  File "/usr/lib/python2.6/site-packages/resource_management/core/environment.py", line 160, in run
    self.run_action(resource, action)
  File "/usr/lib/python2.6/site-packages/resource_management/core/environment.py", line 124, in run_action
    provider_action()
  File "/usr/lib/python2.6/site-packages/resource_management/core/providers/system.py", line 273, in action_run
    tries=self.resource.tries, try_sleep=self.resource.try_sleep)
  File "/usr/lib/python2.6/site-packages/resource_management/core/shell.py", line 71, in inner
    result = function(command, **kwargs)
  File "/usr/lib/python2.6/site-packages/resource_management/core/shell.py", line 93, in checked_call
    tries=tries, try_sleep=try_sleep)
  File "/usr/lib/python2.6/site-packages/resource_management/core/shell.py", line 141, in _call_wrapper
    result = _call(command, **kwargs_copy)
  File "/usr/lib/python2.6/site-packages/resource_management/core/shell.py", line 294, in _call
    raise Fail(err_msg)
resource_management.core.exceptions.Fail: Execution of 'export HIVE_CONF_DIR=/usr/hdp/current/hive-metastore/conf/conf.server ; /usr/hdp/current/hive-metastore/bin/schematool -initSchema -dbType mysql -userName hive -passWord [PROTECTED] -verbose' returned 1. Metastore connection URL:    jdbc:mysql://hostname.mysql.cn/hivemeta
Metastore Connection Driver :    com.mysql.jdbc.Driver
Metastore connection User:    hive
Starting metastore schema initialization to 1.2.0
Initialization script hive-schema-1.2.0.mysql.sql
Connecting to jdbc:mysql://hostname.mysql.cn/hivemeta
Connected to: MySQL (version 5.1.73)
Driver: MySQL Connector Java (version mysql-connector-java-5.1.40 ( Revision: 402933ef52cad9aa82624e80acbea46e3a701ce6 ))
Transaction isolation: TRANSACTION_READ_COMMITTED
0: jdbc:mysql://hostname.mysql.cn/hivem> !autocommit on
Autocommit status: true
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET @OLD_CHARACTER_SET_C
LIENT=@@CHARACTER_SET_CLIENT */
No rows affected (0.003 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET @OLD_CHARACTER_SET_R
ESULTS=@@CHARACTER_SET_RESULTS */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET @OLD_COLLATION_CONNE
CTION=@@COLLATION_CONNECTION */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET NAMES utf8 */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40103 SET @OLD_TIME_ZONE=@@TIM
E_ZONE */
No rows affected (0.002 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40103 SET TIME_ZONE='+00:00' *
/
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40014 SET @OLD_UNIQUE_CHECKS=@
@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40014 SET @OLD_FOREIGN_KEY_CHE
CKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */
No rows affected (0.001 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET @OLD_SQL_MODE=@@SQL_
MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40111 SET @OLD_SQL_NOTES=@@SQL
_NOTES, SQL_NOTES=0 */
No rows affected (0.001 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET @saved_cs_client   
 = @@character_set_client */
No rows affected (0 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> /*!40101 SET character_set_client
 = utf8 */
No rows affected (0.001 seconds)
0: jdbc:mysql://hostname.mysql.cn/hivem> CREATE TABLE IF NOT EXISTS `BUCKE
TING_COLS` ( `SD_ID` bigint(20) NOT NULL, `BUCKET_COL_NAME` varchar(256) CHARACT
ER SET latin1 COLLATE latin1_bin DEFAULT NULL, `INTEGER_IDX` int(11) NOT NULL, P
RIMARY KEY (`SD_ID`,`INTEGER_IDX`), KEY `BUCKETING_COLS_N49` (`SD_ID`), CONSTRAI
NT `BUCKETING_COLS_FK1` FOREIGN KEY (`SD_ID`) REFERENCES `SDS` (`SD_ID`) ) ENGIN
E=InnoDB DEFAULT CHARSET=latin1
Error: Can't create table 'hivemeta.bucketing_cols' (errno: 121) (state=HY000,code=1005)
Closing: 0: jdbc:mysql://hostname.mysql.cn/hivemeta
org.apache.hadoop.hive.metastore.HiveMetaException: Schema initialization FAILED! Metastore state would be inconsistent !!
org.apache.hadoop.hive.metastore.HiveMetaException: Schema initialization FAILED! Metastore state would be inconsistent !!
    at org.apache.hive.beeline.HiveSchemaTool.doInit(HiveSchemaTool.java:270)
    at org.apache.hive.beeline.HiveSchemaTool.doInit(HiveSchemaTool.java:243)
    at org.apache.hive.beeline.HiveSchemaTool.main(HiveSchemaTool.java:473)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
    at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.io.IOException: Schema script failed, errorcode 2
    at org.apache.hive.beeline.HiveSchemaTool.runBeeLine(HiveSchemaTool.java:358)
    at org.apache.hive.beeline.HiveSchemaTool.runBeeLine(HiveSchemaTool.java:326)
    at org.apache.hive.beeline.HiveSchemaTool.doInit(HiveSchemaTool.java:266)
    ... 8 more
*** schemaTool failed ***

6.根据关键字“Schema initialization FAILED! Metastore state would be inconsistent !!”,查询到hdp的官方论坛。
解释说,这个是一个已知的问题。需要修改ambari的sql脚本,删除mysql的一些index等。
https://community.hortonworks.com/questions/113748/hive-metastore-start.html

7. 官方建议的步骤繁多。个人比较懒。而且这个hive库,前一天还是正常的。这个问题是突然出现的,我不倾向与,这个是bug的可能。
继续分析,查看hivemetastore的log,还是有必要的。
发现问题,表不存在

2018-03-07 15:34:43,871 INFO  [pool-8-thread-200]: metastore.HiveMetaStore (HiveMetaStore.java:logInfo(746)) - 200: get_all_databases
2018-03-07 15:34:43,871 INFO  [pool-8-thread-200]: HiveMetaStore.audit (HiveMetaStore.java:logAuditEvent(371)) - [email protected]      ip=/172.18.98.57        cmd=get_all_databases
2018-03-07 15:34:43,873 ERROR [pool-8-thread-200]: metastore.RetryingHMSHandler (RetryingHMSHandler.java:invoke(165)) - HMSHandler Fatal error: javax.jdo.JDOException: Exception thrown when executing query
        at org.datanucleus.api.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(NucleusJDOHelper.java:596)
      ......
NestedThrowablesStackTrace:
com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'hivemeta.dbs' doesn't exist
        at sun.reflect.GeneratedConstructorAccessor60.newInstance(Unknown Source)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:526)

8.现在要从mysql入手分析,逐步检查。

mysql> use hive
mysql> show tables;
+---------------------------+
| Tables_in_hivemeta        |
+---------------------------+
| BUCKETING_COLS            |
| CDS                      |
| COLUMNS_V2                |
| COMPACTION_QUEUE          |
| COMPLETED_TXN_COMPONENTS  |
| DATABASE_PARAMS          |
| DBS                      |
| DB_PRIVS                  |
| DELEGATION_TOKENS        |

9. 问题来了,表不存在。为什么不存在呢?其实我已经知道问题了。Mysql表名大小写敏感问题。

mysql>select count(*) from `DBS`;
ERROR 1146 (42S02): Table 'hivemeta.DBS' doesn't exist

10. 由于很多Oracle数据库的表名是大小写不敏感的。但是Mysql却是表名大小写敏感的。所以,很多开发人员,都喜欢将mysql设置为表名大小写不敏感。
而show tables之后,我就怀疑这个可能了。

11. 经过检查/etc/my.cnf,确实已经设置lower_case_table_names=1

12. Hive库创建的时候,mysql是大小写敏感的。所以,表名都是大写的。而后期,有人修改了mysql参数,取消大小写敏感。这样,问题就来了。Mysql并不是完全不敏感,而是在设置参数lower_case_table_names=1  之后,创建和查询的sql语句中的表名,默认修改为小写的。而已经创建的表名,还是大写的显示。但是你无论用大写表名,还是小写表名,都无法正确查询到了。

13. 这个问题出现的场景:
只有是在hive库创建完成之后,又修改/etc/my.cnf,添加参数lower_case_table_names=1导致的。

14. 问题找到之后,有两个解决方案:
a. 取消参数lower_case_table_names=1
b. 如果mysql的hive库中没有什么数据,删除hive库表,重新创建hive meta表,直接就创建出小写的表名了。
输出就是小写的了:

mysql> show tables;
+---------------------------+
| Tables_in_hive_beta      |
+---------------------------+
| bucketing_cols            |
| cds                      |
| columns_v2                |
| compaction_queue          |
| completed_txn_components  |
| database_params          |
| db_privs                  |
| dbs                      |
| delegation_tokens        |
| func_ru                  |

15. 我最后选择取消参数lower_case_table_names=1,并重启mysql。查询正常了。

mysql> select count(*) from `DBS`;
+----------+
| count(*) |
+----------+
|        2 |

16. Ambari启动hive metastore也成功了。
问题解决,一切恢复正常

$ beeline -u "jdbc:hive2://hostname.domain.cn:10000/default;principal=hive/[email protected];"
Connecting to jdbc:hive2://hostname.domain.cn:10000/default;principal=hive/[email protected];
Connected to: Apache Hive (version release-1.2.1-EDH-1.1.2)
Driver: Hive JDBC (version release-1.2.1-EDH-1.1.2)
Transaction isolation: TRANSACTION_REPEATABLE_READ
Beeline version release-1.2.1-EDH-1.1.2 by Apache Hive
0: jdbc:hive2://hostname.domain.cn:10000> show databases;
+----------------+--+
| database_name  |
+----------------+--+
| default        |
| hbjt          |
+----------------+--+
2 rows selected (1.206 seconds)

最终的原因,就是有人修改的/etc/my.cnf,导致的本次问题。

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