[SPARK-3676][SQL] Fix hive test suite failure due to diffs in JDK 1.6/1.7

This is a bug in JDK6: http://bugs.java.com/bugdatabase/view_bug.do?bug_id=4428022

this is because jdk get different result to operate ```double```,
```System.out.println(1/500d)``` in different jdk get different result
jdk 1.6.0(_31) ---- 0.0020
jdk 1.7.0(_05) ---- 0.002
this leads to HiveQuerySuite failed when generate golden answer in jdk 1.7 and run tests in jdk 1.6, result did not match

Author: w00228970 <wangfei1@huawei.com>

Closes #2517 from scwf/HiveQuerySuite and squashes the following commits:

0cb5e8d [w00228970] delete golden answer of division-0 and timestamp cast #1
1df3964 [w00228970] Jdk version leads to different query output for Double, this make HiveQuerySuite failed
[SPARK-3680][SQL] Fix bug caused by eager typing of HiveGenericUDFs

Typing of UDFs should be lazy as it is often not valid to call `dataType` on an expression until after all of its children are `resolved`.

Author: Michael Armbrust <michael@databricks.com>

Closes #2525 from marmbrus/concatBug and squashes the following commits:

5b8efe7 [Michael Armbrust] fix bug with eager typing of udfs
[SPARK-3681] [SQL] [PySpark] fix serialization of List and Map in SchemaRDD

Currently, the schema of object in ArrayType or MapType is attached lazily, it will have better performance but introduce issues while serialization or accessing nested objects.

This patch will apply schema to the objects of ArrayType or MapType immediately when accessing them, will be a little bit slower, but much robust.

Author: Davies Liu <davies.liu@gmail.com>

Closes #2526 from davies/nested and squashes the following commits:

2399ae5 [Davies Liu] fix serialization of List and Map in SchemaRDD