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Hive QA commented on HIVE-21210: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12957520/HIVE-21210.1.patch {color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified. {color:red}ERROR:{color} -1 due to 17 failed/errored test(s), 15726 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[acid_table_stats] (batchId=57) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[input42] (batchId=81) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[masking_1] (batchId=91) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[masking_3] (batchId=59) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[masking_disablecbo_1] (batchId=55) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[masking_disablecbo_3] (batchId=39) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[mm_all] (batchId=73) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[nonmr_fetch] (batchId=22) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[orc_int_type_promotion] (batchId=45) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[partition_wise_fileformat12] (batchId=90) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[partition_wise_fileformat16] (batchId=41) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[pcs] (batchId=54) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[pointlookup3] (batchId=7) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[ppd_vc] (batchId=91) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[ppr_pushdown3] (batchId=30) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[rand_partitionpruner2] (batchId=59) org.apache.hadoop.hive.cli.TestLocalSparkCliDriver.testCliDriver[spark_local_queries] (batchId=277) {noformat} Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/15925/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/15925/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-15925/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.YetusPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 17 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12957520 - PreCommit-HIVE-Build > 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 > > > 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}}. -- This message was sent by Atlassian JIRA (v7.6.3#76005)