should not use seek() for skipping very small column chunks. better to read and ignore data.

### Describe the enhancement requested

When reading some column chunks but not all, parquet is building a list of "ConsecutivePartList", then trying to call the Hadoop api for vectorized reader of FSDataInputStream#readVectored(List ...)

Unfortunatly, many implementations of "FSDataInputStream" do not override the readVectored() method, which trigger many distinct calls to read.

For example on hadoop-azure, the Azure Datalake Storage is much slower at establishing a new Https connection (using infamous calls HttpURLConnection for jdk 1.0, then doing TLS hand-shake), that to get only few more megas of data on an existing socket !!

The case with small wholes to avoid reading is very frequent when having columns in parquet files that are not read, and are highly compressed because of RLE encoding. Typically, a very sparse column with only few values, or even always null within a page. Such a column could be encoded in only few hundred of bytes by parquet, so it is NOT a problem of reading 100 bytes more.

Parquet should at least honor the following method from hadoop class FileSystem, that says that a seek of less than 4096 bytes is NOT reasonable.
```
/**
* What is the smallest reasonable seek?
* @return the minimum number of bytes
*/
default int minSeekForVectorReads() {
return 4 * 1024;
}
```

The logic for building this List for a list of column chunks is here:
org.apache.parquet.hadoop.ParquetFileReader#internalReadRowGroup
```
private ColumnChunkPageReadStore internalReadRowGroup(int blockIndex) throws IOException {
...
for (ColumnChunkMetaData mc : block.getColumns()) {
...
// first part or not consecutive => new list
if (currentParts == null || currentParts.endPos() != startingPos) { // <===== SHOULD honor minSeekForVectorReads()
currentParts = new ConsecutivePartList(startingPos);
allParts.add(currentParts);
}
currentParts.addChunk(new ChunkDescriptor(columnDescriptor, mc, startingPos, mc.getTotalSize()));
}
}
// actually read all the chunks
ChunkListBuilder builder = new ChunkListBuilder(block.getRowCount());
readAllPartsVectoredOrNormal(allParts, builder);
rowGroup.setReleaser(builder.releaser);
for (Chunk chunk : builder.build()) {
readChunkPages(chunk, block, rowGroup);
}

return rowGroup;
}
```

maybe a possible implementation could be to add fictive "ConsecutivePartList" that are to be ignored while receiving the data, but that would avoid having some wholes in the ranges to read.

### Component(s)

_No response_

Beginnen Sie in org.apache.parquet.hadoop.ParquetFileReader#internalReadRowGroup und verfolgen Sie, wie ConsecutivePartList aufgebaut wird, bevor readAllPartsVectoredOrNormal aufgerufen wird. Verwenden Sie Hadoop FileSystem#minSeekForVectorReads als Schwellenwert, um kleine Lücken zu bewerten, und überprüfen Sie anschließend, dass die ausgewählten Spaltenblöcke weiterhin geladen werden, während kleine Lücken innerhalb der umgebenden Bereiche gelesen werden, anstatt separate Suchvorgänge zu verursachen.

Vom Indexierungsmodell aus dem Issue-Text verfasst.