0923c4f567
## What changes were proposed in this pull request? When we create a SparkSession at the Python side, it is possible that a SparkContext has been created. For this case, we need to set configs of the SparkSession builder to the Scala SparkContext's SparkConf (we need to do so because conf changes on a active Python SparkContext will not be propagated to the JVM side). Otherwise, we may create a wrong SparkSession (e.g. Hive support is not enabled even if enableHiveSupport is called). ## How was this patch tested? New tests and manual tests. Author: Yin Huai <yhuai@databricks.com> Closes #13931 from yhuai/SPARK-16224. |
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| .. | ||
| __init__.py | ||
| catalog.py | ||
| column.py | ||
| conf.py | ||
| context.py | ||
| dataframe.py | ||
| functions.py | ||
| group.py | ||
| readwriter.py | ||
| session.py | ||
| streaming.py | ||
| tests.py | ||
| types.py | ||
| utils.py | ||
| window.py | ||