Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[BUG] Host column vectors are being leaked during tests #4422

Closed
jlowe opened this issue Dec 22, 2021 · 0 comments · Fixed by #4428
Closed

[BUG] Host column vectors are being leaked during tests #4422

jlowe opened this issue Dec 22, 2021 · 0 comments · Fixed by #4428
Assignees
Labels
bug Something isn't working

Comments

@jlowe
Copy link
Member

jlowe commented Dec 22, 2021

Seeing many occurrences of host column vectors being leaked in scala-test-detailed-output.log during the nightly build, For example:

21/12/22 14:53:35.098 Cleaner Thread ERROR HostColumnVector: A HOST COLUMN VECTOR WAS LEAKED (ID: 47963)
21/12/22 14:53:35.106 Cleaner Thread ERROR MemoryCleaner: Leaked vector (ID: 47963): 2021-12-22 14:53:33.0890 UTC: INC
java.lang.Thread.getStackTrace(Thread.java:1559)
ai.rapids.cudf.MemoryCleaner$RefCountDebugItem.<init>(MemoryCleaner.java:301)
ai.rapids.cudf.MemoryCleaner$Cleaner.addRef(MemoryCleaner.java:82)
ai.rapids.cudf.HostColumnVector.incRefCountInternal(HostColumnVector.java:147)
ai.rapids.cudf.HostColumnVector.<init>(HostColumnVector.java:78)
ai.rapids.cudf.ColumnView.copyToHost(ColumnView.java:4220)
com.nvidia.spark.rapids.GpuColumnVector.copyToHost(GpuColumnVector.java:1113)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$toHost$2(GpuColumnarToRowExec.scala:191)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
scala.collection.TraversableLike.map(TraversableLike.scala:286)
scala.collection.TraversableLike.map$(TraversableLike.scala:279)
scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$2(GpuColumnarToRowExec.scala:211)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$2$adapted(GpuColumnarToRowExec.scala:209)
com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
com.nvidia.spark.rapids.ColumnarToRowIterator.withResource(GpuColumnarToRowExec.scala:178)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$1(GpuColumnarToRowExec.scala:209)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$1$adapted(GpuColumnarToRowExec.scala:208)
scala.Option.foreach(Option.scala:407)
com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:208)
com.nvidia.spark.rapids.ColumnarToRowIterator.next(GpuColumnarToRowExec.scala:255)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$7(GpuColumnarToRowSuite.scala:61)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$6(GpuColumnarToRowSuite.scala:60)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$6$adapted(GpuColumnarToRowSuite.scala:57)
com.nvidia.spark.rapids.Arm.closeOnExcept(Arm.scala:87)
com.nvidia.spark.rapids.Arm.closeOnExcept$(Arm.scala:85)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.closeOnExcept(GpuColumnarToRowSuite.scala:25)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$4(GpuColumnarToRowSuite.scala:57)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$4$adapted(GpuColumnarToRowSuite.scala:54)
com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.withResource(GpuColumnarToRowSuite.scala:25)
com.nvidia.spark.rapids.GpuColumnarToRowSuite.$anonfun$new$3(GpuColumnarToRowSuite.scala:54)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
[...]

[...]

21/12/22 14:53:35.106 Cleaner Thread ERROR HostColumnVector: A HOST COLUMN VECTOR WAS LEAKED (ID: 47621)
1/12/22 14:53:35.106 Cleaner Thread ERROR MemoryCleaner: Leaked vector (ID: 47621): 2021-12-22 14:53:33.0623 UTC: INC
java.lang.Thread.getStackTrace(Thread.java:1559)
ai.rapids.cudf.MemoryCleaner$RefCountDebugItem.<init>(MemoryCleaner.java:301)
ai.rapids.cudf.MemoryCleaner$Cleaner.addRef(MemoryCleaner.java:82)
ai.rapids.cudf.HostColumnVector.incRefCountInternal(HostColumnVector.java:147)
ai.rapids.cudf.HostColumnVector.<init>(HostColumnVector.java:93)
ai.rapids.cudf.ColumnView.copyToHost(ColumnView.java:4196)
com.nvidia.spark.rapids.GpuColumnVector.copyToHost(GpuColumnVector.java:1113)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$toHost$2(GpuColumnarToRowExec.scala:191)
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
scala.collection.TraversableLike.map(TraversableLike.scala:286)
scala.collection.TraversableLike.map$(TraversableLike.scala:279)
scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$2(GpuColumnarToRowExec.scala:211)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$2$adapted(GpuColumnarToRowExec.scala:209)
com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
com.nvidia.spark.rapids.ColumnarToRowIterator.withResource(GpuColumnarToRowExec.scala:178)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$1(GpuColumnarToRowExec.scala:209)
com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$loadNextBatch$1$adapted(GpuColumnarToRowExec.scala:208)
scala.Option.foreach(Option.scala:407)
com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:208)
com.nvidia.spark.rapids.ColumnarToRowIterator.next(GpuColumnarToRowExec.scala:255)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$10(InternalColumnarRDDConverterSuite.scala:98)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$10$adapted(InternalColumnarRDDConverterSuite.scala:97)
scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$9(InternalColumnarRDDConverterSuite.scala:97)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$9$adapted(InternalColumnarRDDConverterSuite.scala:94)
com.nvidia.spark.rapids.Arm.closeOnExcept(Arm.scala:87)
com.nvidia.spark.rapids.Arm.closeOnExcept$(Arm.scala:85)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.closeOnExcept(InternalColumnarRDDConverterSuite.scala:28)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$7(InternalColumnarRDDConverterSuite.scala:94)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$7$adapted(InternalColumnarRDDConverterSuite.scala:91)
com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.withResource(InternalColumnarRDDConverterSuite.scala:28)
org.apache.spark.sql.rapids.execution.InternalColumnarRDDConverterSuite.$anonfun$new$6(InternalColumnarRDDConverterSuite.scala:91)
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
[...]
@jlowe jlowe added bug Something isn't working ? - Needs Triage Need team to review and classify labels Dec 22, 2021
@jlowe jlowe self-assigned this Dec 22, 2021
@sameerz sameerz removed the ? - Needs Triage Need team to review and classify label Jan 4, 2022
@sameerz sameerz added this to the Dec 13 - Jan 7 milestone Jan 4, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
bug Something isn't working
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants