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Posted to reviews@spark.apache.org by "amogkam (via GitHub)" <gi...@apache.org> on 2024/07/30 00:34:02 UTC
Re: [PR] [SPARK-48210][DOC]Modify the description of whether dynamic partition… [spark]
amogkam commented on PR #46496:
URL: https://github.com/apache/spark/pull/46496#issuecomment-2257244720
also running into this error with 3.5.1 when trying to use stage level scheduling with `dynamicAllocation` set to False
```
: org.apache.spark.SparkException: ResourceProfiles are only supported on YARN and Kubernetes and Standalone with dynamic allocation enabled.
at org.apache.spark.resource.ResourceProfileManager.isSupported(ResourceProfileManager.scala:88)
at org.apache.spark.resource.ResourceProfileManager.addResourceProfile(ResourceProfileManager.scala:127)
at org.apache.spark.rdd.RDD.withResources(RDD.scala:1832)
at org.apache.spark.api.java.JavaRDD.withResources(JavaRDD.scala:59)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
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:829)
```
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