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https://issues.apache.org/jira/browse/HADOOP-17313?focusedWorklogId=503181&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-503181
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ASF GitHub Bot logged work on HADOOP-17313:
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Author: ASF GitHub Bot
Created on: 21/Oct/20 13:15
Start Date: 21/Oct/20 13:15
Worklog Time Spent: 10m
Work Description: steveloughran commented on pull request #2396:
URL: https://github.com/apache/hadoop/pull/2396#issuecomment-713560550
yeah, let me get that out the way before I forget about that cache. I'll use
a counter of discarded instances and test off that. I'll plan some tricks to
avoid the test being fussy about timing...have a semaphore inside the fake FS
I'll be instantiating to block its construction, as sleep() is brittle as well
as slowing down test runs
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Issue Time Tracking
-------------------
Worklog Id: (was: 503181)
Time Spent: 50m (was: 40m)
> FileSystem.get to support slow-to-instantiate FS clients
> --------------------------------------------------------
>
> Key: HADOOP-17313
> URL: https://issues.apache.org/jira/browse/HADOOP-17313
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs, fs/azure, fs/s3
> Affects Versions: 3.3.0
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Labels: pull-request-available
> Time Spent: 50m
> Remaining Estimate: 0h
>
> A recurrent problem in processes with many worker threads (hive, spark etc)
> is that calling `FileSystem.get(URI-to-object-store)` triggers the creation
> and then discard of many FS clients -all but one for the same URL. As well as
> the direct performance hit, this can exacerbate locking problems and make
> instantiation a lot slower than it would otherwise be.
> This has been observed with the S3A and ABFS connectors.
> The ultimate solution here would probably be something more complicated to
> ensure that only one thread was ever creating a connector for a given URL
> -the rest would wait for it to be initialized. This would (a) reduce
> contention & CPU, IO network load, and (b) reduce the time for all but the
> first thread to resume processing to that of the remaining time in
> .initialize(). This would also benefit the S3A connector.
> We'd need something like
> # A (per-user) map of filesystems being created <URI, FileSystem>
> # split createFileSystem into two: instantiateFileSystem and
> initializeFileSystem
> # each thread to instantiate the FS, put() it into the new map
> # If there was one already, discard the old one and wait for the new one to
> be ready via a call to Object.wait()
> # If there wasn't an entry, call initializeFileSystem) and then, finally,
> call Object.notifyAll(), and move it from the map of filesystems being
> initialized to the map of created filesystems
> This sounds too straightforward to be that simple; the troublespots are
> probably related to race conditions moving entries between the two maps and
> making sure that no thread will block on the FS being initialized while it
> has already been initialized (and so wait() will block forever).
> Rather than seek perfection, it may be safest go for a best-effort
> optimisation of the #of FS instances created/initialized. That is: its better
> to maybe create a few more FS instances than needed than it is to block
> forever.
> Something is doable here, it's just not quick-and-dirty. Testing will be
> "fun"; probably best to isolate this new logic somewhere where we can
> simulate slow starts on one thread with many other threads waiting for it.
> A simpler option would be to have a lock on the construction process: only
> one FS can be instantiated per user at a a time.
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