Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/13652
Question to check my conceptual understanding: if I don't use explicit
`java.sql.Date` functions or conversions and don't call any timezone functions,
etc., then should any time/date-related pure SQL query return the same results
irrespective of my machine's local timezone? I've found a confusing
counterexample:
```scala
sc.parallelize(Seq(1466036527, 1466036527)).toDF("ts").selectExpr("cast(ts
as timestamp)").filter("ts < '2016-06-15 17:22:07.0'").collect()
```
If I run this with `./bin/spark-shell --driver-java-options
'-Duser.timezone=America/Los_Angeles'` and `./bin/spark-shell
--driver-java-options '-Duser.timezone=Europe/Moscow'` then I get different
results, which I find somewhat perplexing.
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