GH-3466 Improve RunLengthBitPackingHybridDecoder.readNext to avoid per-call buffer allocation and DataInputStream wrapping

[arouel]

Rationale for this change

RunLengthBitPackingHybridDecoder.readNext() allocates a new int[] and byte[] on every PACKED-mode call. The existing code even acknowledges this with a // TODO: reuse a buffer comment at line 94. In workloads that decode many bit-packed runs (definition levels, repetition levels, RLE-encoded integers), these allocations become a significant source of GC pressure.

There are two issues:

1. Per-call buffer allocation. currentBuffer = new int[currentCount] and byte[] bytes = new byte[numGroups * bitWidth] are allocated fresh on every PACKED-mode readNext(). The individual allocations are modest (8–128 ints per run) but occur thousands of times per column chunk. In a custom JFR-profiled benchmark merging 60 Parquet files (180M rows, 10 columns), these two sites were the number 2 and number 6 allocation hotspots respectively: 2,402 out of 12,711 total allocation samples (18.9%), accounting for ~7.2 GB of allocation per operation.

2. Per-call DataInputStream wrapping. new DataInputStream(in).readFully(bytes, 0, bytesToRead) creates a wrapper object on every PACKED-mode call just to access readFully().

What changes are included in this PR?

Three changes to RunLengthBitPackingHybridDecoder:

• currentBuffer promoted from local to field, reused across readNext() calls with a grow-only strategy, only reallocated when the next run requires a larger buffer than currently held.
• byte[] bytes promoted to a field packedBytes, same grow-only reuse strategy.
• new DataInputStream(in).readFully(...) replaced with a private readFully() method that reads directly from the underlying InputStream, eliminating the per-call wrapper allocation and virtual dispatch.

Custom JFR-profiled benchmark results (merge of 60 Parquet files, 180M rows, 10 columns, JDK 26, macOS aarch64):

Metric	Before	After	Change
Throughput	44.2 s/op	42.5 s/op	-3.6%
Allocation rate	908.9 MB/s	793.9 MB/s	-12.7%
Allocation per op	42.1 GB	35.4 GB	-15.8%
RLE decoder alloc samples	2,402 (18.9%)	146 (1.2%)	-93.9%
RLE decoder alloc bytes	~7,245 MB	~417 MB	-94.2%

Are these changes tested?

Yes, changes are tested. We added a regression test in TestRunLengthBitPackingHybridEncoder called testTruncatedPackedRunAfterFullPackedRunDoesNotReuseStaleBytes to cover a truncated packed-run edge case after buffer reuse. We also ran the full TestRunLengthBitPackingHybridEncoder class and RunLengthBitPackingHybridIntegrationTest and all tests passed.

Are there any user-facing changes?

No. This is a transparent performance improvement internal to the RLE decoder. Decoded values are identical. No API changes, no configuration changes, no behavioral changes.

Closes #3466