Question

我正在使用EMR来分析web nginx日志。但我需要处理日志，以便它可以分为行和列，以便于查询。因此我用以下方式创建了两个表 - rawlog，processedlog：

create table rawlog(line string)
row format delimited fields terminated by '\t' lines terminated by '\n'
LOCATION 's3://istreamanalytics/logs/';

CREATE EXTERNAL TABLE processedlog (
day string,
hour int,
playSessionId string
)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n';

并向hive添加了一个可以进行转换的ruby脚本，脚本如下：

#!/usr/bin/env ruby

mon={"Jan" => '01',"Feb" => '02',"Mar" => '03',"Apr" => '04',"May" => '05',"Jun" =>    '06',"Jul" => '07',"Aug" => '08',"Sep" => '09',"Oct" => '10',"Nov" => '11',"Dec" => '12'}

STDIN.each_line do |line|
if line =~ /(\d+)\/(\w+)\/(\d+):(\d+):\d+:\d+ \+\d+] "GET \/api\?playSessionId=(^&*)/
d = "#{$3}-#{mon$2}-#{$1}"
h = $4
pid = $5
puts "#{d}\t#{h}\t#{pid}"
end
end

现在，当我在hive上使用以下命令运行作业时：

from rawlog insert overwrite table processedlog select transform (line) using 'ruby /mnt/var/lib/hive_081/downloaded_resources/hive_transformer.rb' as (day String, hour INT, playSessionId String);

我收到以下错误：

Total MapReduce jobs = 2
Launching Job 1 out of 2
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201206061145_0015, Tracking URL = http://domU-12-31-39-0F-86-07.compute-1.internal:9100/jobdetails.jsp?jobid=job_201206061145_0015
Kill Command = /home/hadoop/.versions/0.20.205/libexec/../bin/hadoop job -Dmapred.job.tracker=10.193.133.241:9001 -kill job_201206061145_0015
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2012-06-08 09:47:49,644 Stage-1 map = 0%, reduce = 0%
2012-06-08 09:48:50,267 Stage-1 map = 0%, reduce = 0%
2012-06-08 09:48:52,278 Stage-1 map = 100%, reduce = 100%
Ended Job = job_201206061145_0015 with errors
Error during job, obtaining debugging information...
 Examining task ID: task_201206061145_0015_m_000002 (and more) from job job_201206061145_0015

Exception in thread "Thread-41" java.lang.RuntimeException: Error while reading from task log url
at org.apache.hadoop.hive.ql.exec.errors.TaskLogProcessor.getErrors(TaskLogProcessor.java:130)
at org.apache.hadoop.hive.ql.exec.JobDebugger.showJobFailDebugInfo(JobDebugger.java:211)
at org.apache.hadoop.hive.ql.exec.JobDebugger.run(JobDebugger.java:81)
at java.lang.Thread.run(Thread.java:662)
Caused by: java.io.IOException: Server returned HTTP response code: 400 for URL:     

http://10.254.139.143:9103/tasklogtaskid=attempt_201206061145_0015_m_000000_2&start=-8193
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1436)
at java.net.URL.openStream(URL.java:1010)
at org.apache.hadoop.hive.ql.exec.errors.TaskLogProcessor.getErrors(TaskLogProcessor.java:120)
... 3 more
Counters:
 FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask
 MapReduce Jobs Launched:
 Job 0: Map: 1 HDFS Read: 0 HDFS Write: 0 FAIL
 Total MapReduce CPU Time Spent: 0 msec

有人可以告诉我出了什么问题吗？

Answer 1

EMR是处理日志的非常通用的工具。

为什么不使用更多定制技术。

E.g：

至少使用Sumo，你可以更容易地进行这种处理。

Answer 2

我要做的唯一建议是确保脚本在EMR之前正常工作。使用EMR测试脚本应该是该过程的最后一步。除此之外，它通常是一个基本的配置问题。

发现了一些基本的谷歌搜索：

http://entxtech.blogspot.com/2010/10/how-to-unit-test-apache-hive-scripts.html http://jairam.me/2011/09/08/hive-on-amazon-emr/

Answer 3

有关错误的更多详细信息，请参阅日志文件或查看案例中的详细信息：http://10.254.139.143:9103/tasklogtaskid=attempt_201206061145_0015_m_000000_2&start=-8193

Amazon Elastic Map Reduce用于分析s3日志

3 个答案: