Reuse hadoop file status and footer in ParquetRecordReader

## DESCRIPTION

Spark will send a listStatus RPC to get hadoop file status and read the parquet file footer before reading the parquet file. And send a same listStatus RPC to get the same hadoop file status and read the footer again in ParquetRecordReader. We can reuse the file status and the footer.
## PLANS

Save the hadoop file status in the ParquetMetadata and save the ParquetMetadata in the input split, so we can reuse them when init a new ParquetRecordReader.

**Reporter**: [Wan Kun](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=wankun)
#### PRs and other links:
- [GitHub Pull Request #1242](https://github.com/apache/parquet-mr/pull/1242)

_{**Note**: *This issue was originally created as [PARQUET-2415](https://issues.apache.org/jira/browse/PARQUET-2415). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Start by reviewing ParquetRecordReader and the input split path described in the issue, then inspect how ParquetMetadata currently carries the footer and how Hadoop file status is obtained. Compare the existing approach with GitHub Pull Request #1242. Done means the repeated status and footer lookup is avoided when initializing a new ParquetRecordReader.

Written by the indexing model from the issue text.