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Date: Fri, 21 Aug 2015 22:54:46 +0000 (UTC)
From: "Edward Seidl (JIRA)" <jira@apache.org>
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Subject: [jira] [Commented] (ACCUMULO-3967) bulk import loses records when
 loading pre-split table
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    [ https://issues.apache.org/jira/browse/ACCUMULO-3967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14707599#comment-14707599 ] 

Edward Seidl commented on ACCUMULO-3967:
----------------------------------------

Yes, these are actual counts.  I have some spark code that creates a rowid-only RDD and I get the count from that.  I'll run a compact just to see if more things will show up, but the counts don't change.  The only change is that after the compact the web monitor actually has a count that matches my spark count.

> bulk import loses records when loading pre-split table
> ------------------------------------------------------
>
>                 Key: ACCUMULO-3967
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-3967
>             Project: Accumulo
>          Issue Type: Bug
>          Components: client, tserver
>    Affects Versions: 1.7.0
>         Environment: generic hadoop 2.6.0, zookeeper 3.4.6 on redhat 6.7
> 7 node cluster
>            Reporter: Edward Seidl
>            Priority: Blocker
>             Fix For: 1.7.1, 1.8.0
>
>
> I just noticed that some records I'm loading via importDirectory go missing.  After a lot of digging around trying to reproduce the problem, I discovered that it occurs most frequently when loading a table that I have just recently added splits to.  In the tserver logs I'll see messages like 
> 20 16:25:36,805 [client.BulkImporter] INFO : Could not assign 1 map files to tablet 1xw;18;17 because : Not Serving Tablet .  Will retry ...
>  
> or
> 20 16:25:44,826 [tserver.TabletServer] INFO : files [hdfs://xxxx:54310/accumulo/tables/1xw/b-00jnmxe/I00jnmxq.rf] not imported to 1xw;03;02: tablet 1xw;03;02 is closed
> these appear after messages about unloading tablets...it seems that tablets are being redistributed at the same time as the bulk import is occuring.
> Steps to reproduce
> 1) I run a mapreduce job that produces random data in rfiles
> 2) copy the rfiles to an import directory
> 3) create table or deleterows -f
> 4) addsplits
> 5) importdirectory
> I have also performed the above completely within the mapreduce job, with similar results.  The difference with the mapreduce job is that the time between adding splits and the import directory is minutes rather than seconds.
> my current test creates 1000000 records, and after the importdirectory returns a count of rows will be anywhere from ~800000 to 1000000.
> With my original workflow, I found that re-importing the same set of rfiles three times would eventually get all rows loaded.


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