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Seeing many occurrences of host column vectors being leaked in scala-test-detailed-output.log during the nightly build, For example:
scala-test-detailed-output.log
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) [...]
The text was updated successfully, but these errors were encountered:
jlowe
Successfully merging a pull request may close this issue.
Seeing many occurrences of host column vectors being leaked in
scala-test-detailed-output.log
during the nightly build, For example:The text was updated successfully, but these errors were encountered: