gaborgsomogyi opened a new pull request #30592:
URL: https://github.com/apache/spark/pull/30592


   ### What changes were proposed in this pull request?
   `spark.buffer.size` not applied in driver from pyspark. In this PR I've 
fixed this issue.
   
   ### Why are the changes needed?
   Apply the mentioned config on driver side.
   
   ### Does this PR introduce _any_ user-facing change?
   No.
   
   ### How was this patch tested?
   Existing unit tests + manually.
   
   Added the following code temporarily:
   ```
   def local_connect_and_auth(port, auth_secret):
   ...
               sock.connect(sa)
               print("SPARK_BUFFER_SIZE: %d" % 
int(os.environ.get("SPARK_BUFFER_SIZE", 65536))) <- This is the addition
               sockfile = sock.makefile("rwb", 
int(os.environ.get("SPARK_BUFFER_SIZE", 65536)))
   ...
   ```
   
   Test:
   ```
   #Compile Spark
   
   echo "spark.buffer.size 10000" >> conf/spark-defaults.conf
   $ ./bin/pyspark 
   Python 3.8.5 (default, Jul 21 2020, 10:48:26) 
   [Clang 11.0.3 (clang-1103.0.32.62)] on darwin
   Type "help", "copyright", "credits" or "license" for more information.
   20/12/03 13:38:13 WARN NativeCodeLoader: Unable to load native-hadoop 
library for your platform... using builtin-java classes where applicable
   Setting default log level to "WARN".
   To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
setLogLevel(newLevel).
   20/12/03 13:38:14 WARN SparkEnv: I/O encryption enabled without RPC 
encryption: keys will be visible on the wire.
   Welcome to
         ____              __
        / __/__  ___ _____/ /__
       _\ \/ _ \/ _ `/ __/  '_/
      /__ / .__/\_,_/_/ /_/\_\   version 3.1.0-SNAPSHOT
         /_/
   
   Using Python version 3.8.5 (default, Jul 21 2020 10:48:26)
   Spark context Web UI available at http://192.168.0.189:4040
   Spark context available as 'sc' (master = local[*], app id = 
local-1606999094506).
   SparkSession available as 'spark'.
   >>> sc.setLogLevel("TRACE")
   >>> sc.parallelize([0, 2, 3, 4, 6], 5).glom().collect()
   ...
   SPARK_BUFFER_SIZE: 10000
   ...
   [[0], [2], [3], [4], [6]]
   >>> 
   ```
   


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