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Posted to issues@spark.apache.org by "Enrico Minack (Jira)" <ji...@apache.org> on 2020/06/28 18:51:00 UTC
[jira] [Created] (SPARK-32120) Single GPU is allocated multiple
times
Enrico Minack created SPARK-32120:
-------------------------------------
Summary: Single GPU is allocated multiple times
Key: SPARK-32120
URL: https://issues.apache.org/jira/browse/SPARK-32120
Project: Spark
Issue Type: Bug
Components: Scheduler
Affects Versions: 3.0.0
Reporter: Enrico Minack
Running spark in a {{local-cluster[2,1,1024]}} with one GPU per worker, task and executor and two GPUs provided through a GPU discovery script, the same GPU is allocated to both executors.
Discovery script output:
{code}
{"name": "gpu", "addresses": ["0", "1"]}
{code}
Spark local cluster setup through `spark-shell`:
{code}
./spark-3.0.0-bin-hadoop2.7/bin/spark-shell --master "local-cluster[2,1,1024]" --conf spark.worker.resource.gpu.discoveryScript=/tmp/gpu.json --conf spark.worker.resource.gpu.amount=1 --conf spark.task.resource.gpu.amount=1 --conf spark.executor.resource.gpu.amount=1
{code}
Executor of this cluster:
Code run in the Spark shell:
{code}
scala> import org.apache.spark.TaskContext
import org.apache.spark.TaskContext
scala> def fn(it: Iterator[java.lang.Long]): Iterator[(String, (String, Array[String]))] = { TaskContext.get().resources().mapValues(v => (v.name, v.addresses)).iterator }
fn: (it: Iterator[Long])Iterator[(String, (String, Array[String]))]
scala> spark.range(0,2,1,2).mapPartitions(fn).collect
res0: Array[(String, (String, Array[String]))] = Array((gpu,(gpu,Array(1))), (gpu,(gpu,Array(1))))
{code}
The result shows that each task got GPU {{1}}. The executor page shows that each task has been run on different executors:
The expected behaviour would have been to have GPU `0` assigned to one executor and GPU {{1}} to the other executor. Consequently, each partition / task should then see a different GPU.
With Spark 3.0.0-preview2 the allocation was as expected (identical code and Spark shell setup):
{code}
res0: Array[(String, (String, Array[String]))] = Array((gpu,(gpu,Array(0))), (gpu,(gpu,Array(1))))
{code}
Happy to contribute a patch if this is an accepted bug.
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