线上使用impala做一部分的nginx日志实时计算，简单记录下在使用过程中遇到的一些小问题：
部署常见问题：
1.mysql jar错误
Caused by: org.datanucleus.exceptions.NucleusException: Attempt to invoke the “DBCP” plugin to create a ConnectionPool gave an error : The specified datastore driver (“com.mysql.jdbc.Driver”) was not found in the CLASSPATH. Please check your CLASSPATH specification, and the name of the driver.
拷贝hive的mysql-connector-java.xxxx.jar文件至impala的库文件目录即可默认(/usr/lib/impala/lib)
2.hdfs namenode错误
E0127 19:48:16.708744 31675 impala-server.cc:339] Could not read the HDFS root directory at hdfs://bipcluster. Error was:
Operation category READ is not supported in state standby
namenode ha没有自动开启，导致两个namenode都在standby状态。
手动设置为active状态即可。
3.impala特性支持
E0127 19:28:25.289991 13469 impala-server.cc:339] ERROR: short-circuit local reads is disabled because
– Impala cannot read or execute the parent directory of dfs.domain.socket.path
– dfs.client.read.shortcircuit is not enabled.
ERROR: block location tracking is not properly enabled because
– dfs.client.file-block-storage-locations.timeout is too low. It should be at least 3000.
E0127 19:28:25.290117 13469 impala-server.cc:341] Aborting Impala Server startup due to improper configuration
hdfs的配置文件hdfs-site.xml增加如下内容：
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | < property > < name >dfs.client.read.shortcircuit</ name > < value >true</ value > </ property > < property > < name >dfs.domain.socket.path</ name > < value >/var/run/hadoop-hdfs/dn._PORT</ value > </ property > < property > < name >dfs.client.file-block-storage-locations.timeout</ name > < value >3000</ value > </ property > < property > < name >dfs.datanode.hdfs-blocks-metadata.enabled</ name > < value >true</ value > </ property > |
使用常见错误：
4.创建表错误
impala默认使用impala用户运行，创建表时，会由于hdfs权限导致创建报错
Query: create table nginx_test (line string) STORED AS TEXTFILE
ERROR: MetaException: Got exception: org.apache.hadoop.security.AccessControlException Permission denied: user=impala, access=WRITE, inode=”/bip/hive_warehouse/cdnlog.db”:hdfs:hdfs:drwxr-xr-x
5.查询出错
| 1 2 3 4 5 6 7 8 | ERROR: Failed to open HDFS file hdfs: //bipcluster/bip/hive_warehouse/cdnlog.db/dd_log/dt=20140117/data.file Error( 255 ): Unknown error 255 hdfsOpenFile(hdfs: //bipcluster/bip/hive_warehouse/cdnlog.db/dd_log/dt=20140117/data.file): FileSystem#open((Lorg/apache/hadoop/fs/Path;I)Lorg/apache/hadoop/fs/FSDataInputStream;) error: java.io.IOException: Filesystem closed at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java: 565 ) at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java: 1115 ) at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java: 249 ) at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java: 82 ) |
报hdfs文件打开错误，通过hadoop fs -cat可以查看文件内容，即impala和datanode通讯出错，重启impala进程即可
6.
1)hive有隐式转换的功能，可以直接avg(string字段)（如果是数字型的值），impala的话需要手动cast
比如下面这个：
[10.19.111.106:21000] > select avg(status) from dd_log where dt=’20140117′;
Query: select avg(status) from dd_log where dt=’20140117′
ERROR: AnalysisException: AVG requires a numeric or timestamp parameter: AVG(status)
可以通过下面的方式运行：
select avg(cast(status as DOUBLE)) from dd_log where dt=’20140117′;
2)ERROR: NotImplementedException: ORDER BY without LIMIT currently not supported
impala中order by 需要limit的限制才可以运行，否则报错，可以通过limit一个很大的值来查看所有的数据，另外limit不支持 limit a,b这种格式。
select ip,count(1) as cnt from cdnlog.dd_log group by ip order by cnt desc limit 100000000;
7.impala 1.0升级到1.1.1的问题
1)1.0的客户端和1.1的服务端不兼容，用1.0的客户端连接1.1的server后执行refresh会报错ERROR: ExecPlanRequest rpcERROR
2)1.1的Refresh行为改变了，1.0的Refresh等同于1.1的Invalid Metadata [Tablename]，而1.1的Refresh后面必须加表名
可以在impala-shell中使用-r参数refresh metadata.
3)1.1的客户端-o选项的默认行为也发生改变了，1.0输出到文件的格式是value逗号value，而在1.1必须显示指定-B –output_delimiter=,
4)1.1的server端与1.0的statestore不兼容，无法注册成功
8.Could not resolve host for clientsocket
datanode的hosts解析问题
本文转自菜菜光 51CTO博客，原文链接：http://blog.51cto.com/caiguangguang/1355213，如需转载请自行联系原作者
