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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2021/12/14 19:00:45 UTC
[GitHub] [spark] ueshin commented on a change in pull request #34893: [SPARK-37638][PYTHON] Use existing active Spark session instead of SparkSession.getOrCreate in pandas API on Spark
ueshin commented on a change in pull request #34893:
URL: https://github.com/apache/spark/pull/34893#discussion_r768958909
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File path: python/pyspark/pandas/utils.py
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@@ -464,20 +464,12 @@ def is_testing() -> bool:
return "SPARK_TESTING" in os.environ
-def default_session(conf: Optional[Dict[str, Any]] = None) -> SparkSession:
- if conf is None:
- conf = dict()
+def default_session() -> SparkSession:
+ spark = SparkSession.getActiveSession()
+ if spark is not None:
+ return spark
builder = SparkSession.builder.appName("pandas-on-Spark")
- for key, value in conf.items():
- builder = builder.config(key, value)
- # Currently, pandas-on-Spark is dependent on such join due to 'compute.ops_on_diff_frames'
- # configuration. This is needed with Spark 3.0+.
- builder.config("spark.sql.analyzer.failAmbiguousSelfJoin", False)
-
- if is_testing():
- builder.config("spark.executor.allowSparkContext", False)
Review comment:
Where is this set?
This is for our testing to check our internal code doesn't create `SparkSession` in executors.
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