read footer using 1 call readFully(byte[8]) instead of 5 calls ( 4 x read() for footer length + 1 x read(byte[4]) for magic marker )

### Describe the enhancement requested

This is a minor performance improvement, but worth when reading many files.
read footer using 1 call readFully(byte[8]) instead of 5 calls ( 4 x read() for footer length + 1 x read(byte[4]) for magic marker )

in summary the patch is for file ParquetFileReader.java, method "readFooter()" :

```
--- a/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetFileReader.java
+++ b/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetFileReader.java
@@ -585,14 +585,18 @@ public class ParquetFileReader implements Closeable {
}

// Read footer length and magic string - with a single seek
- byte[] magic = new byte[MAGIC.length];
- long fileMetadataLengthIndex = fileLen - magic.length - FOOTER_LENGTH_SIZE;
+ long fileMetadataLengthIndex = fileLen - MAGIC.length - FOOTER_LENGTH_SIZE;
LOG.debug("reading footer index at {}", fileMetadataLengthIndex);
f.seek(fileMetadataLengthIndex);
- int fileMetadataLength = readIntLittleEndian(f);
- f.readFully(magic);
+ byte[] magicAndLengthBytes = new byte[FOOTER_LENGTH_SIZE + MAGIC.length];
+ f.readFully(magicAndLengthBytes);
+ int fileMetadataLength = readIntLittleEndian(magicAndLengthBytes, 0);

boolean encryptedFooterMode;
+ // using JDK >= 9: if (Arrays.equals(MAGIC, 0, MAGIC.length, magicAndLengthBytes, FOOTER_LENGTH_SIZE, FOOTER_LENGTH_SIZE + MAGIC.length)) {
+ // using JDK <= 8: need extract sub array then compare
+ byte[] magic = new byte[MAGIC.length];
+ System.arraycopy(magicAndLengthBytes, FOOTER_LENGTH_SIZE, magic, 0, MAGIC.length);
if (Arrays.equals(MAGIC, magic)) {
encryptedFooterMode = false;
} else if (Arrays.equals(EFMAGIC, magic)) {
```

### Component(s)

Core

在 parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetFileReader.java 中，先检查 readFooter() 以及当前对 footer-length 和 magic 的读取。验证单次 readFully(byte[8]) 是否同时保留标准 footer 和加密 footer 的 magic 处理，然后运行相关的项目测试；当减少读取调用次数后 footer 解析仍然正确时，即表示完成。

由索引模型根据 Issue 内容生成。