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author | Jason Lee <cjlee@us.ibm.com> | 2016-01-27 09:55:10 -0800 |
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committer | Yin Huai <yhuai@databricks.com> | 2016-01-27 09:55:10 -0800 |
commit | edd473751b59b55fa3daede5ed7bc19ea8bd7170 (patch) | |
tree | f05e166a4fd9959182f72a66a15f6118684c9468 /NOTICE | |
parent | 41f0c85f9be264103c066935e743f59caf0fe268 (diff) | |
download | spark-edd473751b59b55fa3daede5ed7bc19ea8bd7170.tar.gz spark-edd473751b59b55fa3daede5ed7bc19ea8bd7170.tar.bz2 spark-edd473751b59b55fa3daede5ed7bc19ea8bd7170.zip |
[SPARK-10847][SQL][PYSPARK] Pyspark - DataFrame - Optional Metadata with `None` triggers cryptic failure
The error message is now changed from "Do not support type class scala.Tuple2." to "Do not support type class org.json4s.JsonAST$JNull$" to be more informative about what is not supported. Also, StructType metadata now handles JNull correctly, i.e., {'a': None}. test_metadata_null is added to tests.py to show the fix works.
Author: Jason Lee <cjlee@us.ibm.com>
Closes #8969 from jasoncl/SPARK-10847.
Diffstat (limited to 'NOTICE')
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