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https://issues.apache.org/jira/browse/IMPALA-3091?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Smith updated IMPALA-3091:
----------------------------------
    Description: 
LLVM can use a lot of memory optimizing the module in pathological cases, which 
is only accounted for in the process mem tracker. For instance, the following 
query:
{noformat}
select * from functional_text_lzo.widetable_1000_cols;
{noformat}
Causes the process tracker to go to 3GB, while the query tracker reports almost 
nothing:
{noformat}
Process: Limit=12.44 GB Consumption=2.98 GB
  RequestPool=default-pool: Consumption=16.02 KB
    Query(2d44bf2d595eb55f:3641ee051e509f82) Limit: Consumption=16.02 KB
      Fragment 2d44bf2d595eb55f:3641ee051e509f83: Consumption=8.00 KB
        EXCHANGE_NODE (id=1): Consumption=0
        DataStreamRecvr: Consumption=0
      Block Manager: Limit=9.95 GB Consumption=0
      Fragment 2d44bf2d595eb55f:3641ee051e509f84: Consumption=8.02 KB
        HDFS_SCAN_NODE (id=0): Consumption=0
        DataStreamSender: Consumption=16.00 B
{noformat}
This is related to IMPALA-967.

As addressed in [https://gerrit.cloudera.org/c/20697/] - and reverted in 
[https://gerrit.cloudera.org/c/20796] - Impala currently under-estimates memory 
used by LLVM's Memory Manager. It allocates at least a memory page (usually 
4KB) for every code section (at least 3 per Module). Trying to account for that 
starts to introduce significant unplanned memory 

  was:
LLVM can use a lot of memory optimizing the module in pathological cases, which 
is only accounted for in the process mem tracker. For instance, the following 
query:
{noformat}
select * from functional_text_lzo.widetable_1000_cols;
{noformat}
Causes the process tracker to go to 3GB, while the query tracker reports almost 
nothing:
{noformat}
Process: Limit=12.44 GB Consumption=2.98 GB
  RequestPool=default-pool: Consumption=16.02 KB
    Query(2d44bf2d595eb55f:3641ee051e509f82) Limit: Consumption=16.02 KB
      Fragment 2d44bf2d595eb55f:3641ee051e509f83: Consumption=8.00 KB
        EXCHANGE_NODE (id=1): Consumption=0
        DataStreamRecvr: Consumption=0
      Block Manager: Limit=9.95 GB Consumption=0
      Fragment 2d44bf2d595eb55f:3641ee051e509f84: Consumption=8.02 KB
        HDFS_SCAN_NODE (id=0): Consumption=0
        DataStreamSender: Consumption=16.00 B
{noformat}

This is related to IMPALA-967.


> LLVM memory is not accounted for in query mem tracker
> -----------------------------------------------------
>
>                 Key: IMPALA-3091
>                 URL: https://issues.apache.org/jira/browse/IMPALA-3091
>             Project: IMPALA
>          Issue Type: Improvement
>          Components: Backend
>    Affects Versions: Impala 2.2
>            Reporter: Skye Wanderman-Milne
>            Priority: Major
>              Labels: codegen, resource-management
>
> LLVM can use a lot of memory optimizing the module in pathological cases, 
> which is only accounted for in the process mem tracker. For instance, the 
> following query:
> {noformat}
> select * from functional_text_lzo.widetable_1000_cols;
> {noformat}
> Causes the process tracker to go to 3GB, while the query tracker reports 
> almost nothing:
> {noformat}
> Process: Limit=12.44 GB Consumption=2.98 GB
>   RequestPool=default-pool: Consumption=16.02 KB
>     Query(2d44bf2d595eb55f:3641ee051e509f82) Limit: Consumption=16.02 KB
>       Fragment 2d44bf2d595eb55f:3641ee051e509f83: Consumption=8.00 KB
>         EXCHANGE_NODE (id=1): Consumption=0
>         DataStreamRecvr: Consumption=0
>       Block Manager: Limit=9.95 GB Consumption=0
>       Fragment 2d44bf2d595eb55f:3641ee051e509f84: Consumption=8.02 KB
>         HDFS_SCAN_NODE (id=0): Consumption=0
>         DataStreamSender: Consumption=16.00 B
> {noformat}
> This is related to IMPALA-967.
> As addressed in [https://gerrit.cloudera.org/c/20697/] - and reverted in 
> [https://gerrit.cloudera.org/c/20796] - Impala currently under-estimates 
> memory used by LLVM's Memory Manager. It allocates at least a memory page 
> (usually 4KB) for every code section (at least 3 per Module). Trying to 
> account for that starts to introduce significant unplanned memory 



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