Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/21427
Thing is, we already do similar thing via createDataFrame with list and
dictionary. I believe @icexelloss borrowed this idea from there:
```
>>> spark.createDataFrame([["a", 1], ["c", 2]], "a: string, b: int").show()
+---+---+
| a| b|
+---+---+
| a| 1|
| c| 2|
+---+---+
>>> spark.createDataFrame([{"b":1, "a": "a"}, {"b": 2, "a": "c"}], "a:
string, b: int").show()
+---+---+
| a| b|
+---+---+
| a| 1|
| c| 2|
+---+---+
```
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