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https://issues.apache.org/jira/browse/MAPREDUCE-2561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh J resolved MAPREDUCE-2561.
Resolution: Not a Problem
Resolving as this has gone stale. If there's a substantial amount of t
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https://issues.apache.org/jira/browse/MAPREDUCE-6039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh J resolved MAPREDUCE-6039.
Resolution: Not a Problem
Resolving per Jason's earlier comment. Separate JIRA can be filed if t
I took the liberty of adding line breaks to Joep's mail.
Thanks for the great feedback Joep. The goal with 3.x is to maintain API
and wire compatibility with 2.x, which I think addresses most of your
concerns. A 2.x client running on JDK7 would then still be able to talk to
a 3.x server running on
Here are some of our thought on the discussions of the past few days with
respect to backwards compatibility.
In general at Twitter we're not necessarily against backwards incompatible
changes per se.
*It depends on the "Return on Pain". While it is hard to quantify the
returns in the a
Siqi Li created MAPREDUCE-6275:
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Summary: Potential race condition of mutiple file system rename in
FileOutputCommiter v2
Key: MAPREDUCE-6275
URL: https://issues.apache.org/jira/browse/MAPREDUCE-6275
Pro
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https://issues.apache.org/jira/browse/MAPREDUCE-1096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh J resolved MAPREDUCE-1096.
Resolution: Not a Problem
The vertica contrib connector does not exist anymore in the current so
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https://issues.apache.org/jira/browse/MAPREDUCE-410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh J resolved MAPREDUCE-410.
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Resolution: Cannot Reproduce
This has gone stale. Checkout the windows support in branch-1-win (or
Hi,
I tried reading data via HCatalog for 1 Hive table in MapReduce using
something similar to
https://cwiki.apache.org/confluence/display/Hive/HCatalog+InputOutput#HCatalogInputOutput-RunningMapReducewithHCatalog.
I was able to read successfully.
Now am trying to read 2 tables, as the requiremen
See https://builds.apache.org/job/Hadoop-Mapreduce-trunk-Java8/134/
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Java HotSpot(TM) 64-Bit Server
