Gowthami03B commented on code in PR #614:
URL: https://github.com/apache/iceberg-python/pull/614#discussion_r1573309559
##########
tests/conftest.py:
##########
@@ -2060,7 +2060,7 @@ def spark() -> "SparkSession":
.config("spark.sql.catalog.hive.warehouse", "s3://warehouse/hive/")
.config("spark.sql.catalog.hive.s3.endpoint", "http://localhost:9000";)
.config("spark.sql.catalog.hive.s3.path-style-access", "true")
- .config("spark.sql.execution.arrow.pyspark.enabled", "true")
+ .config("spark.sql.execution.arrow.pyspark.enabled", "false")
Review Comment:
tests/integration/test_inspect_table.py::test_inspect_files[1]
/home/codespace/.cache/pypoetry/virtualenvs/pyiceberg-FsHa-ZgB-py3.10/lib/python3.10/site-packages/pyspark/sql/pandas/conversion.py:198:
UserWarning: toPandas attempted Arrow optimization because
'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the
error below and can not continue. Note that
'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on
failures in the middle of computation.
An error occurred while calling o71.getResult.
: org.apache.spark.SparkException: Exception thrown in awaitResult:
at
org.apache.spark.util.SparkThreadUtils$.awaitResult(SparkThreadUtils.scala:56)
at
org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:310)
at
org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:98)
at
org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:94)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:75)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:52)
at java.base/java.lang.reflect.Method.invoke(Method.java:580)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0
in stage 0.0 (TID 0)
(85bf1d94-7064-4319-9250-09ddcbd80af7.internal.cloudapp.net executor driver):
java.lang.UnsupportedOperationException: sun.misc.Unsafe or
java.nio.DirectByteBuffer.<init>(long, int) not available
at
org.apache.arrow.memory.util.MemoryUtil.directBuffer(MemoryUtil.java:174)
at
org.apache.arrow.memory.ArrowBuf.getDirectBuffer(ArrowBuf.java:229)
at org.apache.arrow.memory.ArrowBuf.nioBuffer(ArrowBuf.java:224)
at
org.apache.arrow.vector.ipc.WriteChannel.write(WriteChannel.java:133)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.writeBatchBuffers(MessageSerializer.java:303)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:276)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:237)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.$anonfun$next$1(ArrowConverters.scala:119)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.next(ArrowConverters.scala:122)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.next(ArrowConverters.scala:77)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at
##########
tests/conftest.py:
##########
@@ -2060,7 +2060,7 @@ def spark() -> "SparkSession":
.config("spark.sql.catalog.hive.warehouse", "s3://warehouse/hive/")
.config("spark.sql.catalog.hive.s3.endpoint", "http://localhost:9000";)
.config("spark.sql.catalog.hive.s3.path-style-access", "true")
- .config("spark.sql.execution.arrow.pyspark.enabled", "true")
+ .config("spark.sql.execution.arrow.pyspark.enabled", "false")
Review Comment:
@kevinjqliu tests/integration/test_inspect_table.py::test_inspect_files[1]
/home/codespace/.cache/pypoetry/virtualenvs/pyiceberg-FsHa-ZgB-py3.10/lib/python3.10/site-packages/pyspark/sql/pandas/conversion.py:198:
UserWarning: toPandas attempted Arrow optimization because
'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the
error below and can not continue. Note that
'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on
failures in the middle of computation.
An error occurred while calling o71.getResult.
: org.apache.spark.SparkException: Exception thrown in awaitResult:
at
org.apache.spark.util.SparkThreadUtils$.awaitResult(SparkThreadUtils.scala:56)
at
org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:310)
at
org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:98)
at
org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:94)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:75)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:52)
at java.base/java.lang.reflect.Method.invoke(Method.java:580)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0
in stage 0.0 (TID 0)
(85bf1d94-7064-4319-9250-09ddcbd80af7.internal.cloudapp.net executor driver):
java.lang.UnsupportedOperationException: sun.misc.Unsafe or
java.nio.DirectByteBuffer.<init>(long, int) not available
at
org.apache.arrow.memory.util.MemoryUtil.directBuffer(MemoryUtil.java:174)
at
org.apache.arrow.memory.ArrowBuf.getDirectBuffer(ArrowBuf.java:229)
at org.apache.arrow.memory.ArrowBuf.nioBuffer(ArrowBuf.java:224)
at
org.apache.arrow.vector.ipc.WriteChannel.write(WriteChannel.java:133)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.writeBatchBuffers(MessageSerializer.java:303)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:276)
at
org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:237)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.$anonfun$next$1(ArrowConverters.scala:119)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.next(ArrowConverters.scala:122)
at
org.apache.spark.sql.execution.arrow.ArrowConverters$ArrowBatchIterator.next(ArrowConverters.scala:77)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at
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