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[PIG-793] Improving memory efficiency of Tuple implementation
...Currently, our tuple is a real pig and uses a lot of extra memory. There are several places where we can improve memory efficiency:(1) Laying out memory for the fields rather than using java...
, 2012-08-22, 22:55
[PIG-243] Make pig work on Windows
...Currently a large number of unit tests is failing on Windows. We need to fix that....
, 2012-07-07, 00:18
[PIG-2079] Transition Grunt parser to antlr
, 2012-06-21, 01:08
[PIG-2399] Documentation is missing info about some builtin functions
...JSonLoader/Store not documented: https://issues.apache.org/jira/browse/PIG-2332 PigStorage schema support is not documented: https://issues.apache.org/jira/browse/PIG-2143...
, 2012-04-26, 20:33
[PIG-2092] Grunt help is missing sh command
...This is a trivial patch that I am planning to commit asap without review...
, 2012-04-26, 20:33
[PIG-853] EXPERIMENTAL: code generating backend
...We want to try out and produce generated code that gets compiled and run at the backend. This is in contrast to our current, interpreted pipeline.The purpose of this experiment is to determi...
, 2009-06-16, 20:44
[PIG-686] PERFORMANCE: improve how data is stored between M-R jobs and between Map and Reduce
...Currently, there is quite a bit of overhead in how the data is serialized in both cases because a type information is stored with each field.However, most of the time the data has known and ...
, 2009-06-12, 00:38
[PIG-351] PERFORMANCE: filters are 10-20% slower
...We ran some tests and filters are consistently underperforming the trunk. We actually expected some improvement and need to investigate what happened....
, 2009-06-12, 00:30
[PIG-467] PERFORMANCE: compressing intermediate results
...It is recommended with Hadoop 18 and later versions to compress data passed between Map and Reduce. We need to test to make sure that it gives performance gain...
, 2009-06-12, 00:12
[PIG-357] PERFORMANCE: progress reported on every tuple
...Currently, if the reporter is set, we report progress on every tuple. This could be too expensive and impact performance. In the old code, we used to do it on every 1000th tuple or something...
, 2009-05-06, 15:13
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