[GitHub] [spark] HyukjinKwon commented on issue #24614: [SPARK-27712][PySpark][SQL] Returns correct schema even under different column order when creating dataframe

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HyukjinKwon commented on issue #24614: [SPARK-27712][PySpark][SQL] Returns correct schema even under different column order when creating dataframe
URL: https://github.com/apache/spark/pull/24614#issuecomment-492880929
 
 
   yea, I think actually I discussed this with @BryanCutler somewhere before. I forget what we ended up with. Bryan, do you remember which one we considered as the correct case?
   
   ```
   >>> spark.createDataFrame([Row(A="1", B="2")], "B string, A string").first()
   Row(B='2', A='1') # correct
   >>> spark.createDataFrame(spark.sparkContext.parallelize([Row(A="1", B="2")]), "B string, A string").first()
   Row(B='1', A='2') # incorrect        
   ```
   
   I remember we considered `__from_dict__` is being mistakenly lost and therefore it should be considered as a dict but maybe I am recalling wrongly.

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