What changes are proposed in this pull request?

Add a new table property to enable parquet-mr's adaptive bloom filter sizing
(PARQUET-2326) for Iceberg-managed Parquet writes:

• write.parquet.bloom-filter-adaptive-enabled (boolean, default false)

When enabled, parquet-mr's ColumnValueCollector.initBloomFilter() constructs an
AdaptiveBlockSplitBloomFilter instead of BlockSplitBloomFilter. The adaptive variant evaluates
N candidate filter sizes and picks the smallest that satisfies actual NDV at the configured FPP,
instead of always pre-allocating bloom-filter-max-bytes.

Why are the changes needed?

Today, when bloom filter is enabled on a column without per-column NDV, parquet-mr's
ColumnValueCollector.initBloomFilter() allocates a fixed bloom-filter-max-bytes buffer:

// from ColumnValueCollector
} else {
  this.bloomFilter = new BlockSplitBloomFilter(maxBloomFilterSize, maxBloomFilterSize);
}

The buffer is then written to disk via ParquetFileWriter.serializeBloomFilters() regardless of
how many values were inserted. For low-row-count writes this produces a file dominated by an
empty bloom filter.

Empirical observations from a Spark Structured Streaming + Iceberg pipeline (~720 silver
tables on warm 600s trigger):

For workloads that produce frequent low-row-count microbatches (CDC streaming, frequent commits),
this is a significant storage and S3 PUT cost reduction.

How was this patch tested?

• New unit test TestParquetAdaptiveBloomFilter covers both:
  • Adaptive enabled — verifies file is at least 2x smaller than non-adaptive
  • Default behavior — verifies existing (non-adaptive) behavior is preserved when
    the property is not set
• Empirically verified on a production Spark Structured Streaming + Iceberg pipeline.
  File sizes dropped 4 MiB → ~268 KiB on streaming microbatch outputs.

Backward compatibility

Default value is false, so existing tables and writers see no behavior change.
Operators opt in by setting write.parquet.bloom-filter-adaptive-enabled=true.

Scope

This PR modifies the createWriterFunc code path (used by Spark, Flink, and other engines for
data writes). The legacy ParquetWriteBuilder fallback path (createWriterFunc == null) is
unchanged. If maintainers want adaptive support on the legacy path as well, happy to extend in
a follow-up.

Files changed

• core/src/main/java/org/apache/iceberg/TableProperties.java — add 1 constant + default
• parquet/src/main/java/org/apache/iceberg/parquet/Parquet.java — wire the property through
  Context + use in WriteBuilder
• parquet/src/test/java/org/apache/iceberg/parquet/TestParquetAdaptiveBloomFilter.java — new test