[SPARK-13922][SQL] Filter rows with null attributes in vectorized parquet reader

# What changes were proposed in this pull request?

It's common for many SQL operators to not care about reading `null` values for correctness. Currently, this is achieved by performing `isNotNull` checks (for all relevant columns) on a per-row basis. Pushing these null filters in the vectorized parquet reader should bring considerable benefits (especially for cases when the underlying data doesn't contain any nulls or contains all nulls).

## How was this patch tested?

        Intel(R) Core(TM) i7-4960HQ CPU  2.60GHz
        String with Nulls Scan (0%):        Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
        -------------------------------------------------------------------------------------------
        SQL Parquet Vectorized                   1229 / 1648          8.5         117.2       1.0X
        PR Vectorized                             833 /  846         12.6          79.4       1.5X
        PR Vectorized (Null Filtering)            732 /  782         14.3          69.8       1.7X

        Intel(R) Core(TM) i7-4960HQ CPU  2.60GHz
        String with Nulls Scan (50%):       Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
        -------------------------------------------------------------------------------------------
        SQL Parquet Vectorized                    995 / 1053         10.5          94.9       1.0X
        PR Vectorized                             732 /  772         14.3          69.8       1.4X
        PR Vectorized (Null Filtering)            725 /  790         14.5          69.1       1.4X

        Intel(R) Core(TM) i7-4960HQ CPU  2.60GHz
        String with Nulls Scan (95%):       Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
        -------------------------------------------------------------------------------------------
        SQL Parquet Vectorized                    326 /  333         32.2          31.1       1.0X
        PR Vectorized                             190 /  200         55.1          18.2       1.7X
        PR Vectorized (Null Filtering)            168 /  172         62.2          16.1       1.9X

Author: Sameer Agarwal <sameer@databricks.com>

Closes #11749 from sameeragarwal/perf-testing.