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https://issues.apache.org/jira/browse/HIVE-21210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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BELUGA BEHR updated HIVE-21210:
-------------------------------
Status: Patch Available (was: Open)
One more patch to fix whitespace and JavaDoc issues.
> CombineHiveInputFormat Thread Pool Sizing
> -----------------------------------------
>
> Key: HIVE-21210
> URL: https://issues.apache.org/jira/browse/HIVE-21210
> Project: Hive
> Issue Type: Improvement
> Affects Versions: 4.0.0, 3.2.0
> Reporter: BELUGA BEHR
> Assignee: BELUGA BEHR
> Priority: Major
> Attachments: HIVE-21210.1.patch, HIVE-21210.2.patch,
> HIVE-21210.3.patch, HIVE-21210.4.patch, HIVE-21210.5.patch, HIVE-21210.6.patch
>
>
> Threadpools.
> Hive uses threadpools in several different places and each implementation is
> a little different and requires different configurations. I think that Hive
> needs to reign in and standardize the way that threadpools are used and
> threadpools should scale automatically without manual configuration. At any
> given time, there are many hundreds of threads running in the HS2 as the
> number of simultaneous connections increases and they surely cause contention
> with one-another.
> Here is an example:
> {code:java|title=CombineHiveInputFormat.java}
> // max number of threads we can use to check non-combinable paths
> private static final int MAX_CHECK_NONCOMBINABLE_THREAD_NUM = 50;
> private static final int DEFAULT_NUM_PATH_PER_THREAD = 100;
> {code}
> When building the splits for a MR job, there are up to 50 threads running per
> query and there is not much scaling here, it's simply 1 thread : 100 files
> ratio. This implies that to process 5000 files, there are 50 threads, after
> that, 50 threads are still used. Many Hive jobs these days involve more than
> 5000 files so it's not scaling well on bigger sizes.
> This is not configurable (even manually), it doesn't change when the hardware
> specs increase, and 50 threads seems like a lot when a service must support
> up to 80 connections:
> [https://www.cloudera.com/documentation/enterprise/5/latest/topics/admin_hive_tuning.html]
> Not to mention, I have never seen a scenario where HS2 is running on a host
> all by itself and has the entire system dedicated to it. Therefore it should
> be more friendly and spin up fewer threads.
> I am attaching a patch here that provides a few features:
> * Common module that produces {{ExecutorService}} which caps the number of
> threads it spins up at the number of processors a host has. Keep in mind that
> a class may submit as much work units ({{Callables}} as they would like, but
> the number of threads in the pool is capped.
> * Common module for partitioning work. That is, allow for a generic
> framework for dividing work into partitions (i.e. batches)
> * Modify {{CombineHiveInputFormat}} to take advantage of both modules,
> performing its same duties in a more Java OO way that is currently implemented
> * Add a partitioning (batching) implementation that enforces partitioning of
> a {{Collection}} based on the natural log of the {{Collection}} size so that
> it scales more slowly than a simple 1:100 ratio.
> * Simplify unit test code for {{CombineHiveInputFormat}}
> My hope is to introduce these tools to {{CombineHiveInputFormat}} and then to
> drop it into other places. One of the things I will introduce here is a
> "direct thread" {{ExecutorService}} so that even if there is a configuration
> for a thread pool to be disabled, it will still use an {{ExecutorService}} so
> that the project can avoid logic like "if this function is services by a
> thread pool, use a {{ExecutorService}} (and remember to close it later!)
> otherwise, create a single thread" so that things like [HIVE-16949] can be
> avoided in the future. Everything will just use an {{ExecutorService}}.
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