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https://issues.apache.org/jira/browse/NUTCH-2315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15528786#comment-15528786
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Sebastian Nagel commented on NUTCH-2315:
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Ev., take a lower value, according to [mongodb
limits|https://docs.mongodb.com/manual/reference/limits/#indexes] the default
key length limit is 1024. Also keep in mind that the
{{parser.html.outlinks.max.target.length}} is in chars ({{String.length()}})
while the length limits in data stores are often in bytes. Does all jobs fail
with the same error / stack trace?
> UpdateDb jobs fails everytime (Nutch 2.3.1)
> -------------------------------------------
>
> Key: NUTCH-2315
> URL: https://issues.apache.org/jira/browse/NUTCH-2315
> Project: Nutch
> Issue Type: Bug
> Affects Versions: 2.3.1
> Environment: I am using it with Hadoop 2.7.1 + Mongo DB + Yarn + Gora
> 0.61
> Reporter: Shubham Gupta
> Labels: newbie
> Fix For: 2.4
>
> Attachments: NUTCH-2315-2.3.1-1.patch
>
>
> Hey,
> Whenever I run the update job, the following error occurs:
> INFO mapreduce.Job: Task Id : attempt_1473832356852_0107_m_000000_2, Status :
> FAILED
> Error: java.net.MalformedURLException: no protocol:
> http%3A%2F%2Fwww.smh.com.au%2Fact-news%2Fcanberra-weather-warm-april-expected-after-record-breaking-march-temperatures-20160401-gnw2pg.html&title=Canberra+weather%3A+warm+April+expected+after+record+breaking+March+temperatures&source=The+Sydney+Morning+Herald&summary=Canberra+can+expect+warmer+than+average+temperatures+to+continue+for+April+after+enjoying+its+equal+second+warmest+March+on+record
> at java.net.URL.<init>(URL.java:586)
> at java.net.URL.<init>(URL.java:483)
> at java.net.URL.<init>(URL.java:432)
> at org.apache.nutch.util.TableUtil.reverseUrl(TableUtil.java:43)
> at org.apache.nutch.crawl.DbUpdateMapper.map(DbUpdateMapper.java:96)
> at org.apache.nutch.crawl.DbUpdateMapper.map(DbUpdateMapper.java:38)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
> at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
> 16/09/15 12:44:35 INFO mapreduce.Job: map 100% reduce 100%
> 16/09/15 12:44:36 INFO mapreduce.Job: Job job_1473832356852_0107 failed with
> state FAILED due to: Task failed task_1473832356852_0107_m_000000
> Job failed as tasks failed. failedMaps:1 failedReduces:0
> 16/09/15 12:44:36 INFO mapreduce.Job: Counters: 8
> Job Counters
> Failed map tasks=4
> Launched map tasks=4
> Other local map tasks=4
> Total time spent by all maps in occupied slots (ms)=388304
> Total time spent by all reduces in occupied slots (ms)=0
> Total time spent by all map tasks (ms)=55472
> Total vcore-seconds taken by all map tasks=55472
> Total megabyte-seconds taken by all map tasks=198145984
> Exception in thread "main" java.lang.RuntimeException: job failed:
> name=[rss]update-table, jobid=job_1473832356852_0107
> at org.apache.nutch.util.NutchJob.waitForCompletion(NutchJob.java:119)
> at org.apache.nutch.crawl.DbUpdaterJob.run(DbUpdaterJob.java:111)
> at
> org.apache.nutch.crawl.DbUpdaterJob.updateTable(DbUpdaterJob.java:140)
> at org.apache.nutch.crawl.DbUpdaterJob.run(DbUpdaterJob.java:174)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
> at org.apache.nutch.crawl.DbUpdaterJob.main(DbUpdaterJob.java:178)
> 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)
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