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https://issues.apache.org/jira/browse/IMPALA-7501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16629621#comment-16629621
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Paul Rogers edited comment on IMPALA-7501 at 9/27/18 7:35 PM:
--------------------------------------------------------------
So the above was probably looking in the wrong haystack. Todd's comment is the
key: {{LocalCatalog}}. The local catalog caches the HMS Thrift objects,
including {{Partition}}.
As it turns out, in the current build, all {{LocalCatalogTest}}s fail in the
current build, so the following analysis had to be done based on source code,
not live debugging.
Work is further complicated because Cloudera does not provide source jars for
its Hive jars, so we cannot simply step into or inspect the HMS source code.
There are three separate schema trees to consider:
* That in the parse tree which represent table and column refs in the query.
{{TableRef}}, {{SlotRef}}.
* The coordinator catalog classes: {Db}}, {{Table}}, {{Column}}, and their many
subclasses.
* The Local catalog implementation: {{LocalDb}}, {{LocalTable}}, and their
subclasses.
The issue here is with the local catalog. The earlier note showed that the
coordinator catalog classes are already Impala-specific, slimmed down
implementations. Local catalog, because it is fairly new, still uses Hive (HMS)
classes as part of its implementation. Here we need to figure out the structure
that leads to {{Partition}} objects being cached.
The chain is:
* {{LocalDb}} contains a map of {LocalTable}}.
* {{LocalTable.load()}} creates the proper table class for each data source one
of which is {{LocalFsTable}}.
* {{LocalTable}} holds a Hive {{Table}} object. As noted above, {{Table}} does
not hold partitions.
* {{LocalFsTable}} holds a map of {{LocalPartitionSpec}}, which does not hold a
Hive partition.
Here things get a bit muddy because I can’t actually execute the code. The
relevant bits seem to be:
* {{LocalFsPartition}} holds onto the Hive {{Partition}}, which holds onto the
{{FieldSchema}} objects.
* {{LocalFsTable.loadParitions()}} fetches {{Partition}}s from HMS, wraps them
in a {{LocalFsPartition}} (which extends {{FeFsPartition}}) and returns them.
We may be able to add a couple of lines to the {{LocalFsPartition}} constructor:
{noformat}
msPartition_.getSd().unsetCols();
{noformat}
Again, the above cannot yet be tested because the local catalog tests don’t yet
work.
Longer term, the note earlier does apply. While the query-specific metadata
goes to pains to avoid caching HMS objects, LocalCatalog (and presumably the
similar version in the {{catalogd}} do cache HMS objects which, as noted
earlier, are rather bloated for our needs.
was (Author: paul.rogers):
So the above was probably looking in the wrong haystack. Todd's comment is the
key: {{LocalCatalog}}. The local catalog caches the HMS Thrift objects,
including {{Partition}}.
The chain is:
* {{LocalDb}} contains a map of {LocalTable}}.
* {{LocalTable}} has a subclass {{LocalFsTable}} which contains a map of
{{LocalPartitionSpec}} objects.
* {{LocalPartitionSpec}} has a relation (need to research) to
{{LocalFsPartition}}.
* {{LocalFsPartition}} holds onto the Hive {{Partition}}, which holds onto the
{{FieldSchema}} objects.
Short term, just need to track down how we cache the {{Partition}} and nuke the
{{FieldSchema}}, then retest.
Longer term, the note earlier does apply. While the query-specific metadata
goes to pains to avoid caching HMS objects, LocalCatalog (and presumably the
similar version in the {{catalogd}} do cache HMS objects which, as noted
earlier, are rather bloated for our needs.
> Slim down metastore Partition objects in LocalCatalog cache
> -----------------------------------------------------------
>
> Key: IMPALA-7501
> URL: https://issues.apache.org/jira/browse/IMPALA-7501
> Project: IMPALA
> Issue Type: Sub-task
> Reporter: Todd Lipcon
> Priority: Minor
>
> I took a heap dump of an impalad running in LocalCatalog mode with a 2G limit
> after running a production workload simulation for a couple hours. It had
> 38.5M objects and 2.02GB heap (the vast majority of the heap is, as expected,
> in the LocalCatalog cache). Of this total footprint, 1.78GB and 34.6M objects
> are retained by 'Partition' objects. Drilling into those, 1.29GB and 33.6M
> objects are retained by FieldSchema, which, as far as I remember, are ignored
> on the partition level by the Impala planner. So, with a bit of slimming down
> of these objects, we could make a huge dent in effective cache capacity given
> a fixed budget. Reducing object count should also have the effect of improved
> GC performance (old gen GC is more closely tied to object count than size)
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