[SPARK-12610][SQL] Left Anti Join

### What changes were proposed in this pull request?

This PR adds support for `LEFT ANTI JOIN` to Spark SQL. A `LEFT ANTI JOIN` is the exact opposite of a `LEFT SEMI JOIN` and can be used to identify rows in one dataset that are not in another dataset. Note that `nulls` on the left side of the join cannot match a row on the right hand side of the join; the result is that left anti join will always select a row with a `null` in one or more of its keys.

We currently add support for the following SQL join syntax:

    SELECT   *
    FROM      tbl1 A
              LEFT ANTI JOIN tbl2 B
               ON A.Id = B.Id

Or using a dataframe:

    tbl1.as("a").join(tbl2.as("b"), $"a.id" === $"b.id", "left_anti)

This PR provides serves as the basis for implementing `NOT EXISTS` and `NOT IN (...)` correlated sub-queries. It would also serve as good basis for implementing an more efficient `EXCEPT` operator.

The PR has been (losely) based on PR's by both davies (https://github.com/apache/spark/pull/10706) and chenghao-intel (https://github.com/apache/spark/pull/10563); credit should be given where credit is due.

This PR adds supports for `LEFT ANTI JOIN` to `BroadcastHashJoin` (including codegeneration), `ShuffledHashJoin` and `BroadcastNestedLoopJoin`.

### How was this patch tested?

Added tests to `JoinSuite` and ported `ExistenceJoinSuite` from https://github.com/apache/spark/pull/10563.

cc davies chenghao-intel rxin

Author: Herman van Hovell <hvanhovell@questtec.nl>

Closes #12214 from hvanhovell/SPARK-12610.