[SPARK-47910][CORE] close stream when DiskBlockObjectWriter closeResources to avoid memory leak #46131

JacobZheng0927 · 2024-04-19T06:46:14Z

What changes were proposed in this pull request?

close stream when DiskBlockObjectWriter closeResources to avoid memory leak

Why are the changes needed?

SPARK-34647 replaced the ZstdInputStream with ZstdInputStreamNoFinalizer. This meant that all usages of CompressionCodec.compressedOutputStream would need to manually close the stream as this would no longer be handled by the finalizer mechanism.
When using zstd for shuffle write compression, if for some reason the execution of this process is interrupted(eg. enable spark.sql.execution.interruptOnCancel and cancel Job). The memory used by ZstdInputStreamNoFinalizer may not be freed, causing a memory leak.

Does this PR introduce any user-facing change?

No

How was this patch tested?

Spark Shell Configuration

$> export SPARK_SUBMIT_OPTS="-XX:+AlwaysPreTouch -Xms1g"
$> $SPARK_HOME/bin/spark-shell --conf spark.io.compression.codec=zstd

Test Script

import java.util.concurrent.TimeUnit
import scala.concurrent.Future
import scala.concurrent.ExecutionContext.Implicits.global
import scala.util.Random

sc.setJobGroup("jobA", "this is a job to be cancelled", interruptOnCancel = true)
(1 to 50).foreach { batch => {
  val jobA = Future {
    val df1 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d")
    val df2 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d")
    df1.join(df2,"b").show()  }
  Thread.sleep(5000)
  sc.cancelJobGroup("jobA")
}}

Memory Monitor

$> while true; do echo \"$(date +%Y-%m-%d' '%H:%M:%S)\",$(pmap -x <PID> | grep "total kB" | awk '{print $4}'); sleep 10; done;

Results

Before

"2024-05-13 16:54:23",1332384
"2024-05-13 16:54:33",1417112
"2024-05-13 16:54:43",2211684
"2024-05-13 16:54:53",3060820
"2024-05-13 16:55:03",3850444
"2024-05-13 16:55:14",4631744
"2024-05-13 16:55:24",5317200
"2024-05-13 16:55:34",6019464
"2024-05-13 16:55:44",6489180
"2024-05-13 16:55:54",7255548
"2024-05-13 16:56:05",7718728
"2024-05-13 16:56:15",8388392
"2024-05-13 16:56:25",8927636
"2024-05-13 16:56:36",9473412
"2024-05-13 16:56:46",10000380
"2024-05-13 16:56:56",10344024
"2024-05-13 16:57:07",10734204
"2024-05-13 16:57:17",11211900
"2024-05-13 16:57:27",11665524
"2024-05-13 16:57:38",12268976
"2024-05-13 16:57:48",12896264
"2024-05-13 16:57:58",13572244
"2024-05-13 16:58:09",14252416
"2024-05-13 16:58:19",14915560
"2024-05-13 16:58:30",15484196
"2024-05-13 16:58:40",16170324

After

"2024-05-13 16:35:44",1355428
"2024-05-13 16:35:54",1391028
"2024-05-13 16:36:04",1673720
"2024-05-13 16:36:14",2103716
"2024-05-13 16:36:24",2129876
"2024-05-13 16:36:35",2166412
"2024-05-13 16:36:45",2177672
"2024-05-13 16:36:55",2188340
"2024-05-13 16:37:05",2190688
"2024-05-13 16:37:15",2195168
"2024-05-13 16:37:26",2199296
"2024-05-13 16:37:36",2228052
"2024-05-13 16:37:46",2238104
"2024-05-13 16:37:56",2260624
"2024-05-13 16:38:06",2307184
"2024-05-13 16:38:16",2331140
"2024-05-13 16:38:27",2323388
"2024-05-13 16:38:37",2357552
"2024-05-13 16:38:47",2352948
"2024-05-13 16:38:57",2364744
"2024-05-13 16:39:07",2368528
"2024-05-13 16:39:18",2385492
"2024-05-13 16:39:28",2389184
"2024-05-13 16:39:38",2388060
"2024-05-13 16:39:48",2388336
"2024-05-13 16:39:58",2386916

Was this patch authored or co-authored using generative AI tooling?

No

JacobZheng0927 · 2024-04-22T02:08:16Z

cc @dongjoon-hyun
This is a similar to #35613. Please take a look, thanks!

dongjoon-hyun

Thank you for making a PR, @JacobZheng0927 .

However, your PR fails to compile. Please make GitHub Action CI green.

[error] (core / Compile / compileIncremental) Compilation failed

JacobZheng0927 · 2024-04-22T05:46:33Z

Thank you for making a PR, @JacobZheng0927 .

However, your PR fails to compile. Please make GitHub Action CI green.

[error] (core / Compile / compileIncremental) Compilation failed

Done.

dongjoon-hyun · 2024-04-22T22:12:38Z

core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala

nit. Redundant empty line. Please remove this.

dongjoon-hyun

Like #35613, do you think you can provide a way to validate your PR, @JacobZheng0927 ?

mridulm · 2024-04-23T06:20:58Z

core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala

+    } catch {
+      case e: IOException =>
+        logError(log"Exception occurred while closing the output stream" +
+          log"${MDC(ERROR, e.getMessage)}")


error -> info
and the exception stack trace would be useful

mridulm · 2024-04-23T06:24:14Z

core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala

+          objOut = closeIfNonNull(objOut)
+          bs = null
+        } {
+          bs = closeIfNonNull(bs)


Suggested change

objOut = closeIfNonNull(objOut)

bs = null

} {

bs = closeIfNonNull(bs)

if (null != objOut) objOut.close()

bs = null

} {

objOut = null

if (null != bs) bs.close()

bs = null

And remove closeIfNonNull

ok. I'll fix it.

JacobZheng0927 · 2024-04-23T11:12:06Z

Like #35613, do you think you can provide a way to validate your PR, @JacobZheng0927 ?

Ok, I'll try to reproduce the problem with a simple script.

JacobZheng0927 · 2024-05-13T09:07:22Z

I apologize for the long delay in updating. I've just added the steps for reproduction, please take a look. @dongjoon-hyun @mridulm

mridulm · 2024-05-13T18:24:19Z

@JacobZheng0927, please add it as a unit test.

JacobZheng0927 · 2024-05-15T07:22:40Z

@JacobZheng0927, please add it as a unit test.

I'm not sure how to test for native memory leak cases in unit tests. is there a relevant example I can refer to?

mridulm · 2024-05-23T06:47:57Z

One way I can quickly think of is to check if objOut.close() or bs.close() is being called or not.
For example, adapt the "calling closeAndDelete() on a partial write file" test and use either a custom serializer or a custom compression codec to check for close being invoked ?

(Sorry for the delay in getting back to you - this PR dropped off my todo list unfortunately)

JacobZheng0927 · 2024-06-07T02:39:41Z

SPARK-47910; add a check to see if the close method was called in UT

@mridulm I added some unit test code, but I'm not sure if this is the appropriate way to test it.

mridulm

The test looks good to me, just a minor comment to ensure this does not break as code evolves.

core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala

mridulm · 2024-06-10T21:08:03Z

core/src/test/scala/org/apache/spark/storage/DiskBlockObjectWriterSuite.scala

+}
+
+trait CloseDetecting {
+  var closed = false


nit:

Suggested change

var closed = false

def isClosed: Boolean

mridulm

Looks good to me.

+CC @dongjoon-hyun in case you have additional feedback, thanks !

mridulm · 2024-06-18T05:04:51Z

Merging to master and 3.5
@dongjoon-hyun's requested change is resolved as the CI is green.

…urces to avoid memory leak ### What changes were proposed in this pull request? close stream when DiskBlockObjectWriter closeResources to avoid memory leak ### Why are the changes needed? [SPARK-34647](https://issues.apache.org/jira/browse/SPARK-34647) replaced the ZstdInputStream with ZstdInputStreamNoFinalizer. This meant that all usages of CompressionCodec.compressedOutputStream would need to manually close the stream as this would no longer be handled by the finalizer mechanism. When using zstd for shuffle write compression, if for some reason the execution of this process is interrupted(eg. enable spark.sql.execution.interruptOnCancel and cancel Job). The memory used by `ZstdInputStreamNoFinalizer` may not be freed, causing a memory leak. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? #### Spark Shell Configuration ``` $> export SPARK_SUBMIT_OPTS="-XX:+AlwaysPreTouch -Xms1g" $> $SPARK_HOME/bin/spark-shell --conf spark.io.compression.codec=zstd ``` #### Test Script ```scala import java.util.concurrent.TimeUnit import scala.concurrent.Future import scala.concurrent.ExecutionContext.Implicits.global import scala.util.Random sc.setJobGroup("jobA", "this is a job to be cancelled", interruptOnCancel = true) (1 to 50).foreach { batch => { val jobA = Future { val df1 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d") val df2 = spark.range(2000000).map { _ =>(Random.nextString(20),Random.nextInt(1000),Random.nextInt(1000),Random.nextInt(10))}.toDF("a","b","c","d") df1.join(df2,"b").show() } Thread.sleep(5000) sc.cancelJobGroup("jobA") }} ``` #### Memory Monitor ``` $> while true; do echo \"$(date +%Y-%m-%d' '%H:%M:%S)\",$(pmap -x <PID> | grep "total kB" | awk '{print $4}'); sleep 10; done; ``` #### Results ##### Before ``` "2024-05-13 16:54:23",1332384 "2024-05-13 16:54:33",1417112 "2024-05-13 16:54:43",2211684 "2024-05-13 16:54:53",3060820 "2024-05-13 16:55:03",3850444 "2024-05-13 16:55:14",4631744 "2024-05-13 16:55:24",5317200 "2024-05-13 16:55:34",6019464 "2024-05-13 16:55:44",6489180 "2024-05-13 16:55:54",7255548 "2024-05-13 16:56:05",7718728 "2024-05-13 16:56:15",8388392 "2024-05-13 16:56:25",8927636 "2024-05-13 16:56:36",9473412 "2024-05-13 16:56:46",10000380 "2024-05-13 16:56:56",10344024 "2024-05-13 16:57:07",10734204 "2024-05-13 16:57:17",11211900 "2024-05-13 16:57:27",11665524 "2024-05-13 16:57:38",12268976 "2024-05-13 16:57:48",12896264 "2024-05-13 16:57:58",13572244 "2024-05-13 16:58:09",14252416 "2024-05-13 16:58:19",14915560 "2024-05-13 16:58:30",15484196 "2024-05-13 16:58:40",16170324 ``` ##### After ``` "2024-05-13 16:35:44",1355428 "2024-05-13 16:35:54",1391028 "2024-05-13 16:36:04",1673720 "2024-05-13 16:36:14",2103716 "2024-05-13 16:36:24",2129876 "2024-05-13 16:36:35",2166412 "2024-05-13 16:36:45",2177672 "2024-05-13 16:36:55",2188340 "2024-05-13 16:37:05",2190688 "2024-05-13 16:37:15",2195168 "2024-05-13 16:37:26",2199296 "2024-05-13 16:37:36",2228052 "2024-05-13 16:37:46",2238104 "2024-05-13 16:37:56",2260624 "2024-05-13 16:38:06",2307184 "2024-05-13 16:38:16",2331140 "2024-05-13 16:38:27",2323388 "2024-05-13 16:38:37",2357552 "2024-05-13 16:38:47",2352948 "2024-05-13 16:38:57",2364744 "2024-05-13 16:39:07",2368528 "2024-05-13 16:39:18",2385492 "2024-05-13 16:39:28",2389184 "2024-05-13 16:39:38",2388060 "2024-05-13 16:39:48",2388336 "2024-05-13 16:39:58",2386916 ``` ### Was this patch authored or co-authored using generative AI tooling? No Closes #46131 from JacobZheng0927/zstdMemoryLeak. Authored-by: JacobZheng0927 <zsh517559523@163.com> Signed-off-by: Mridul Muralidharan <mridul<at>gmail.com> (cherry picked from commit e265c60) Signed-off-by: Mridul Muralidharan <mridulatgmail.com>

mridulm · 2024-06-18T05:07:24Z

Merged to master and 3.5
Thanks for fixing this @JacobZheng0927 !
Thanks for the review @dongjoon-hyun :-)

LuciferYang · 2024-06-19T05:15:23Z

If the PR includes a new log behavior, it may need to be manually submitted to branch-3.5/3.4 if backport is needed, because the structured log feature was only added in 4.0, which will cause the compilation of branch-3.5/branch-3.4 to fail. @JacobZheng0927 , do you have time to fix the compilation failure of branch-3.5?

https://github.com/apache/spark/actions/runs/9559284110/job/26349432514

[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:195:17: value log is not a member of StringContext
[error]         logInfo(log"Exception occurred while closing the output stream" +
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:11: value log is not a member of StringContext
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]           ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:17: not found: value MDC
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:21: not found: value ERROR
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                     ^
[error] four errors found

LuciferYang · 2024-06-19T05:21:13Z

If the PR includes a new log behavior, it may need to be manually submitted to branch-3.5/3.4 if backport is needed, because the structured log feature was only added in 4.0, which will cause the compilation of branch-3.5/branch-3.4 to fail. @JacobZheng0927 , do you have time to fix the compilation failure of branch-3.5?

https://github.com/apache/spark/actions/runs/9559284110/job/26349432514

[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:195:17: value log is not a member of StringContext
[error]         logInfo(log"Exception occurred while closing the output stream" +
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:11: value log is not a member of StringContext
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]           ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:17: not found: value MDC
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:21: not found: value ERROR
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                     ^
[error] four errors found

also cc @gengliangwang @panbingkun should we introduce a pseudo log MDC behavior in branch-3.5?

panbingkun · 2024-06-19T05:27:10Z

If the PR includes a new log behavior, it may need to be manually submitted to branch-3.5/3.4 if backport is needed, because the structured log feature was only added in 4.0, which will cause the compilation of branch-3.5/branch-3.4 to fail. @JacobZheng0927 , do you have time to fix the compilation failure of branch-3.5?

https://github.com/apache/spark/actions/runs/9559284110/job/26349432514
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:195:17: value log is not a member of StringContext
[error]         logInfo(log"Exception occurred while closing the output stream" +
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:11: value log is not a member of StringContext
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]           ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:17: not found: value MDC
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:21: not found: value ERROR
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                     ^
[error] four errors found
also cc @gengliangwang @panbingkun should we introduce a pseudo log MDC behavior in branch-3.5?

It seems that structured logs are only available in Spark 4.0

JacobZheng0927 · 2024-06-19T05:42:49Z

如果 PR 中包含了新的log行为，需要进行反向移植的话可能需要手动提交branch-3.5/3.4，因为结构化日志功能是 4.0 才加入的，这会导致编译branch-3.5/branch-3.4失败。@JacobZheng0927，你有时间修复branch-3.5的编译失败吗？

https://github.com/apache/spark/actions/runs/9559284110/job/26349432514

[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:195:17: value log is not a member of StringContext
[error]         logInfo(log"Exception occurred while closing the output stream" +
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:11: value log is not a member of StringContext
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]           ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:17: not found: value MDC
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                 ^
[error] /home/runner/work/spark/spark/core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala:196:21: not found: value ERROR
[error]           log"${MDC(ERROR, e.getMessage)}")
[error]                     ^
[error] four errors found

Okay, I will fix it in 3.5.

LuciferYang · 2024-06-19T05:44:07Z

Thanks @JacobZheng0927

### What changes were proposed in this pull request? The pull request #46131 was merged into the 3.5 branch. The log output in this PR uses MDC, which is not yet supported in version 3.5. ### Why are the changes needed? Remove the use of MDC. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? No need. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #47022 from JacobZheng0927/SPARK-47910-3.5. Authored-by: JacobZheng0927 <zsh517559523@163.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>

mridulm · 2024-06-19T11:16:18Z

Oh crap, forgot this is using structured logging ... should have caught it before merging to 3.5 !

github-actions bot added the CORE label Apr 19, 2024

JacobZheng0927 force-pushed the zstdMemoryLeak branch from 44a5604 to 6bb8917 Compare April 19, 2024 07:20

HyukjinKwon changed the title ~~SPARK-47910; close stream when DiskBlockObjectWriter closeResources to avoid memory leak~~ [SPARK-47910][CORE] close stream when DiskBlockObjectWriter closeResources to avoid memory leak Apr 19, 2024

dongjoon-hyun requested changes Apr 22, 2024

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JacobZheng0927 force-pushed the zstdMemoryLeak branch from 6bb8917 to 8088e75 Compare April 22, 2024 03:18

JacobZheng0927 requested a review from dongjoon-hyun April 22, 2024 05:44

dongjoon-hyun reviewed Apr 22, 2024

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mridulm reviewed Apr 23, 2024

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JacobZheng0927 added 2 commits May 11, 2024 11:01

SPARK-47910; close stream when DiskBlockObjectWriter closeResources

877acaf

SPARK-47910; Avoiding IOException thrown by closeResources

c90e9f4

github-actions bot added SQL ML MLLIB STRUCTURED STREAMING KUBERNETES WEB UI GRAPHX BUILD YARN EXAMPLES DOCS INFRA PYTHON R DSTREAM AVRO labels May 11, 2024

github-actions bot added SQL and removed AVRO PANDAS API ON SPARK CONNECT PROTOBUF labels May 11, 2024

JacobZheng0927 force-pushed the zstdMemoryLeak branch from 859a7f3 to 2db509c Compare May 13, 2024 08:01

github-actions bot removed the SQL label May 13, 2024

SPARK-47910; add a check to see if the close method was called in UT

7bf0556

mridulm reviewed Jun 10, 2024

View reviewed changes

SPARK-47910; Remove the use of reflection.

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JacobZheng0927 requested a review from dongjoon-hyun June 11, 2024 10:06

mridulm approved these changes Jun 12, 2024

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mridulm closed this in e265c60 Jun 18, 2024

JacobZheng0927 mentioned this pull request Jun 19, 2024

[SPARK-47910][CORE][3.5][FOLLOWUP] Remove the use of MDC #47022

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[SPARK-47910][CORE] close stream when DiskBlockObjectWriter closeResources to avoid memory leak #46131

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[SPARK-47910][CORE] close stream when DiskBlockObjectWriter closeResources to avoid memory leak #46131

[SPARK-47910][CORE] close stream when DiskBlockObjectWriter closeResources to avoid memory leak #46131

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JacobZheng0927 commented Apr 19, 2024 • edited Loading

What changes were proposed in this pull request?

Why are the changes needed?

Does this PR introduce any user-facing change?

How was this patch tested?

Spark Shell Configuration

Test Script

Memory Monitor

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Was this patch authored or co-authored using generative AI tooling?

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mridulm Apr 23, 2024 •

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LuciferYang commented Jun 19, 2024 •

edited

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