[SPARK-17108][SQL] Fix BIGINT and INT comparison failure in spark sql

## What changes were proposed in this pull request?

Add a function to check if two integers are compatible when invoking `acceptsType()` in `DataType`.
## How was this patch tested?

Manually.
E.g.

```
    spark.sql("create table t3(a map<bigint, array<string>>)")
    spark.sql("select * from t3 where a[1] is not null")
```

Before:

```
cannot resolve 't.`a`[1]' due to data type mismatch: argument 2 requires bigint type, however, '1' is of int type.; line 1 pos 22
org.apache.spark.sql.AnalysisException: cannot resolve 't.`a`[1]' due to data type mismatch: argument 2 requires bigint type, however, '1' is of int type.; line 1 pos 22
    at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
    at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:82)
    at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:74)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:307)
```

After:
 Run the sql queries above. No errors.

Author: Weiqing Yang <yangweiqing001@gmail.com>

Closes #15448 from weiqingy/SPARK_17108.