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Retry OOM killed jobs with more memory [AN-539] #7786
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67 changes: 67 additions & 0 deletions
67
...sources/standardTestCases/retry_with_more_memory/retry_with_more_memory_assorted_ooms.wdl
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Original file line number | Diff line number | Diff line change |
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version 1.0 | ||
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workflow retry_with_more_memory_assorted_ooms { | ||
call java_oom_kill | ||
call python_oom_kill | ||
call tail_dev_zero_oom_kill | ||
} | ||
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# A Java-based task that sets the maximum heap size to 64 GB on a VM that has nowhere near that much memory. This task | ||
# should be OOM killed and retried with more memory. | ||
task java_oom_kill { | ||
command <<< | ||
echo "MEM_SIZE=$MEM_SIZE" >&2 | ||
echo "MEM_UNIT=$MEM_UNIT" >&2 | ||
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cat > Mem.java << EOF | ||
class Mem { | ||
public static void main(String[] args) throws Exception { | ||
int gb = (int)Math.pow(2, 30); | ||
System.out.println("Allocating memory..."); | ||
byte[][] byteArr = new byte[32][]; | ||
for (int i = 0; i < byteArr.length; i++) { | ||
byteArr[i] = new byte[gb]; | ||
} | ||
System.out.println("Sleeping a minute..."); | ||
Thread.sleep(60_000); | ||
System.out.printf("Heap size: %,.2f%n", (double)Runtime.getRuntime().totalMemory() / gb); | ||
System.out.println(byteArr.hashCode()); | ||
} | ||
} | ||
EOF | ||
java -Xms64g -Xmx64g Mem.java | ||
>>> | ||
runtime { | ||
docker: "eclipse-temurin:21" | ||
memory: "1 GB" | ||
maxRetries: 1 | ||
} | ||
} | ||
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task python_oom_kill { | ||
command <<< | ||
echo "MEM_SIZE=$MEM_SIZE" >&2 | ||
echo "MEM_UNIT=$MEM_UNIT" >&2 | ||
python3 -c 'print(len([0] * (2**34)))' | ||
>>> | ||
runtime { | ||
docker: "google/cloud-sdk:slim" | ||
memory: "1 GB" | ||
maxRetries: 1 | ||
} | ||
} | ||
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task tail_dev_zero_oom_kill { | ||
command <<< | ||
echo "MEM_SIZE=$MEM_SIZE" >&2 | ||
echo "MEM_UNIT=$MEM_UNIT" >&2 | ||
tail /dev/zero | ||
>>> | ||
runtime { | ||
docker: "ubuntu:latest" | ||
memory: "1 GB" | ||
maxRetries: 1 | ||
} | ||
} |
29 changes: 29 additions & 0 deletions
29
centaur/src/main/resources/standardTestCases/retry_with_more_memory_assorted_ooms.test
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name: retry_with_more_memory_assorted_ooms | ||
testFormat: workflowfailure | ||
backends: [GCPBATCH] | ||
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files { | ||
workflow: retry_with_more_memory/retry_with_more_memory_assorted_ooms.wdl | ||
options: retry_with_more_memory/retry_with_more_memory_2x.options | ||
} | ||
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metadata { | ||
workflowName: retry_with_more_memory_assorted_ooms | ||
status: Failed | ||
"failures.0.message": "Workflow failed" | ||
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"retry_with_more_memory_assorted_ooms.java_oom_kill.-1.1.runtimeAttributes.memory": "1 GB" | ||
"retry_with_more_memory_assorted_ooms.java_oom_kill.-1.1.executionStatus": "RetryableFailure" | ||
"retry_with_more_memory_assorted_ooms.java_oom_kill.-1.2.runtimeAttributes.memory": "2 GB" | ||
"retry_with_more_memory_assorted_ooms.java_oom_kill.-1.2.executionStatus": "Failed" | ||
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"retry_with_more_memory_assorted_ooms.python_oom_kill.-1.1.runtimeAttributes.memory": "1 GB" | ||
"retry_with_more_memory_assorted_ooms.python_oom_kill.-1.1.executionStatus": "RetryableFailure" | ||
"retry_with_more_memory_assorted_ooms.python_oom_kill.-1.2.runtimeAttributes.memory": "2 GB" | ||
"retry_with_more_memory_assorted_ooms.python_oom_kill.-1.2.executionStatus": "Failed" | ||
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"retry_with_more_memory_assorted_ooms.tail_dev_zero_oom_kill.-1.1.runtimeAttributes.memory": "1 GB" | ||
"retry_with_more_memory_assorted_ooms.tail_dev_zero_oom_kill.-1.1.executionStatus": "RetryableFailure" | ||
"retry_with_more_memory_assorted_ooms.tail_dev_zero_oom_kill.-1.2.runtimeAttributes.memory": "2 GB" | ||
"retry_with_more_memory_assorted_ooms.tail_dev_zero_oom_kill.-1.2.executionStatus": "Failed" | ||
} |
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Variants has encountered this one in the wild a few times but we don't currently have a test case to reproduce.
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Probably where the AI trained on:
https://hpc-discourse.usc.edu/t/exit-codes-and-their-meanings/414/3