在cdh 5.4上,我尝试在twitter analytics上创建一个演示,使用:
flume用于将tweets捕获到hdfs文件夹中
用于使用hiveserde查询tweet的配置单元
步骤1成功。我可以看到tweets被捕获并正确地定向到所需的hdfs文件夹。我注意到,首先创建一个临时文件,然后将其转换为永久文件:
-rw-r--r-- 3 root hadoop 7548 2015-10-06 06:39 /user/flume/tweets/FlumeData.1444127932782
-rw-r--r-- 3 root hadoop 10034 2015-10-06 06:39 /user/flume/tweets/FlumeData.1444127932783.tmp
我使用下表声明:
CREATE EXTERNAL TABLE tweets(
id bigint,
created_at string,
lang string,
source string,
favorited boolean,
retweet_count int,
retweeted_status
struct<text:string,user:struct<screen_name:string,name:string>>,
entities struct<urls:array<struct<expanded_url:string>>,
user_mentions:array<struct<screen_name:string,name:string>>,
hashtags:array<struct<text:string>>>,
text string,
user struct<location:string,geo_enabled:string,screen_name:string,name:string,friends_count:int,followers_count:int,statuses_count:int,verified:boolean,utc_offset:int,time_zone:string>,
in_reply_to_screen_name string)
ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe'
STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION 'hdfs://master.ds.com:8020/user/flume/tweets';
但是当我查询这个表时,我得到以下错误:
hive> select count(*) from tweets;
Ended Job = job_1443526273848_0140 with errors
...
Diagnostic Messages for this Task:
Error: java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderCreation
... 11 more
Caused by: java.io.FileNotFoundException: File does not exist: /user/flume/tweets/FlumeData.1444128601078.tmp
at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:66)
...
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: Map: 2 Reduce: 1 Cumulative CPU: 1.19 sec HDFS Read: 10492 HDFS Write: 0 FAIL
我认为这个问题与临时文件有关,这个临时文件是由配置单元查询生成的map reduce作业没有被读取。是否有一些解决方法或配置更改可以成功地处理此问题?
1条答案
按热度按时间axzmvihb1#
我也有同样的经历,我通过在flume配置文件中添加下面的hdfs sink配置来解决这个问题
some_agent.hdfssink.hdfs.inUsePrefix = . hdfs.inUseSuffix = .temp
希望对你有帮助。