You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "John Zhuge (Jira)" <ji...@apache.org> on 2023/02/27 07:56:00 UTC

[jira] [Updated] (SPARK-42596) [YARN] OMP_NUM_THREADS not set to number of executor cores by default

     [ https://issues.apache.org/jira/browse/SPARK-42596?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

John Zhuge updated SPARK-42596:
-------------------------------
    Description: 
Run this PySpark script with `spark.executor.cores=1`
{code:python}
import os
from pyspark.sql import SparkSession
from pyspark.sql.functions import udf

spark = SparkSession.builder.getOrCreate()

var_name = 'OMP_NUM_THREADS'

def get_env_var():
  return os.getenv(var_name)

udf_get_env_var = udf(get_env_var)
spark.range(1).toDF("id").withColumn(f"env_{var_name}", udf_get_env_var()).show(truncate=False)
{code}
Output with release `3.3.2`:
{noformat}
+---+-----------------------+
|id |env_OMP_NUM_THREADS    |
+---+-----------------------+
|0  |null                   |
+---+-----------------------+
{noformat}
Output with release `3.3.0`:
{noformat}
+---+-----------------------+
|id |env_OMP_NUM_THREADS    |
+---+-----------------------+
|0  |1                      |
+---+-----------------------+
{noformat}

  was:
Run this PySpark script with `spark.executor.cores=1`
{code:python}
import os
from pyspark.sql import SparkSession
from pyspark.sql.functions import udf

spark = SparkSession.builder.getOrCreate()

var_name = 'OMP_NUM_THREADS'

def get_env_var():
  return os.getenv(var_name)

udf_get_env_var = udf(get_env_var)
spark.range(1).toDF("id").withColumn(f"env_{var_name}", udf_get_env_var()).show(truncate=False)
{code}
Output with release `3.3.2`:
{noformat}
+---+-----------------------+
|id |env_OMP_NUM_THREADS    |
+---+-----------------------+
|0  |null                   |
+---+-----------------------+
{noformat}
Output with release `3.3.0`:
{noformat}
+---+-----------------------+
|id |env_OMP_NUM_THREADS|
+---+-----------------------+
|0  |1                   |
+---+-----------------------+
{noformat}


> [YARN] OMP_NUM_THREADS not set to number of executor cores by default
> ---------------------------------------------------------------------
>
>                 Key: SPARK-42596
>                 URL: https://issues.apache.org/jira/browse/SPARK-42596
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, YARN
>    Affects Versions: 3.3.2
>            Reporter: John Zhuge
>            Priority: Major
>
> Run this PySpark script with `spark.executor.cores=1`
> {code:python}
> import os
> from pyspark.sql import SparkSession
> from pyspark.sql.functions import udf
> spark = SparkSession.builder.getOrCreate()
> var_name = 'OMP_NUM_THREADS'
> def get_env_var():
>   return os.getenv(var_name)
> udf_get_env_var = udf(get_env_var)
> spark.range(1).toDF("id").withColumn(f"env_{var_name}", udf_get_env_var()).show(truncate=False)
> {code}
> Output with release `3.3.2`:
> {noformat}
> +---+-----------------------+
> |id |env_OMP_NUM_THREADS    |
> +---+-----------------------+
> |0  |null                   |
> +---+-----------------------+
> {noformat}
> Output with release `3.3.0`:
> {noformat}
> +---+-----------------------+
> |id |env_OMP_NUM_THREADS    |
> +---+-----------------------+
> |0  |1                      |
> +---+-----------------------+
> {noformat}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org