perf(parquet): encode dictionary indices in RLE batches

[fallintoplace]

What

• Encode Parquet dictionary indices in RLE batches.

Why

• WriteIndices currently sends every index through Put, including long repeated runs and complete literal groups.

Implementation

• Add PutBatchIndices for int32 indices.
• Encode repeated runs and complete literal groups directly.
• Pack literal groups through one batched bit-writer call.
• Keep scalar handling for partial literal groups.
• Preserve encoded bytes and dictionary state on write errors.

Benchmark

Command, run six times per version with before/after order alternated:

go test -run '^$' -bench '^BenchmarkDictEncoderWriteIndices$' -benchmem -benchtime=500ms -count=1 ./parquet/internal/encoding

Apple M1 Pro, Go 1.26.3, GOMAXPROCS=1. WriteIndices on 65,536 indices.

Input	Before	After	Time change
Constant	187.7 µs	26.0 µs	-86.1%
Runs of 8	388.9 µs	200.9 µs	-48.3%
Runs of 32	219.4 µs	67.0 µs	-69.5%
Runs of 256	197.6 µs	41.9 µs	-78.8%
Random, 16 entries	580.7 µs	306.3 µs	-47.3%
Random, 256 entries	452.8 µs	302.8 µs	-33.1%
Alternating	400.7 µs	270.6 µs	-32.5%

Allocations stay at 232 B/op and 4 allocs/op. The benchmark also covers 64-index batches.

Compatibility

• Encoded bytes match the existing scalar path.
• No Parquet format or public API changes.

Tests

• go test ./parquet/...
• go test -race ./parquet/internal/utils ./parquet/internal/encoding
• go test -tags noasm ./parquet/internal/utils ./parquet/internal/encoding
• go vet -composites=false ./parquet/internal/utils ./parquet/internal/encoding

[samueleresca]

Reproduced on linux/amd64 (AMD Ryzen 9 9950X, Go 1.26.0): BenchmarkDictEncoderWriteIndices is 33–86% faster across all 14 cases (geomean −55%), with no change in allocations (232 B/op, 4 allocs/op). six runs per side, alternating order, benchstat p=0.002 on every case.

Small nit: PutBatchLevels int16 and int32 functions can be merged into a generic. Not a blocker.