Implement per column compression

[rahil-c]

Rationale for this change

Issue Raised here: apache/parquet-format#553

The Parquet spec already supports per-column compression, each column chunk stores its own CompressionCodecName in the footer metadata. However, the parquet-java writer API currently forces a single compression codec for all columns in a file. This PR address that gap by exposing per-column compression configuration through the existing ColumnProperty infrastructure.

What changes are included in this PR?

• ParquetProperties: Added ColumnProperty following the same pattern used for dictionary encoding, bloom filters.
• ColumnChunkPageWriteStore: Added a new constructor that accepts CompressionCodecFactory + ParquetProperties
• InternalParquetRecordWriter: Added a new constructor accepting CompressionCodecFactory instead of a single BytesInputCompressor.
• ParquetWriter: Added withCompressionCodec(String,CompressionCodecName) builder method. Updated the core constructor to pass the CompressionCodecFactory through to the writer stack.
• ParquetOutputFormat: Added ColumnConfigParser entry so per-column compression can be configured via Hadoop config keys (parquet.compression#=CODEC).
• ParquetRecordWriter: Updated to pass CompressionCodecFactory to InternalParquetRecordWriter.

Are these changes tested?

• Added test within this pr

Are there any user-facing changes?

Two new public APIs are introduced:

  ParquetWriter.builder(path)
      .withCompressionCodec(CompressionCodecName.SNAPPY)
         // default for all columns
      .withCompressionCodec("embeddings",
  CompressionCodecName.UNCOMPRESSED)  // per-column override
      .build();

  Hadoop configuration (new key pattern):
  parquet.compression#<column_path>=<CODEC_NAME>

cc @julienledem @emkornfield