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https://issues.apache.org/jira/browse/ACCUMULO-3967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14705997#comment-14705997
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Josh Elser commented on ACCUMULO-3967:
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Interesting stuff. Those messages should just be transient warnings. The entire
bulk load process should be resilient to those failures and be automatically
retried without interaction from you.
Do you have code for step 1 in your description that you can share that shows
this problem? That would make reproducing and debugging this much easier.
> 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
> Fix For: 1.7.1
>
>
> 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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