feat: add RDF bloom payload model

[discord9]

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Refer to a related PR or issue link (optional)

This is PR 1a of the RDF Bloom stack. Follow-up fork-only stack PRs:

• PR1b probe expression: feat: add RDF bloom probe expression discord9/greptimedb#5
• PR1c hash lookup encoder: feat: encode hash lookup RDF bloom payloads discord9/greptimedb#6
• PR2 wiring: feat: wire RDF bloom typed payloads discord9/greptimedb#2

Depends on greptime-proto payload PR: GreptimeTeam/greptime-proto#325

Part of original umbrella draft PR: #8342

What's changed and what's your intention?

This PR introduces only the typed RDF Bloom payload model and serialization plumbing:

• adds DynFilterPayload::JoinHashBloom as a typed remote dynamic filter payload variant
• adds slim JoinHashBloomPayload model/proto conversion/validation
• updates initial remote dynamic filter snapshot serde and payload-size accounting
• updates greptime-proto dependency to PR feat: timestamp column support i64 #325
• keeps the proto surface slim: no JoinHashKind, no BloomHashAlgorithm, and no serialized distinct_hash_count; df_seed0..3 remain for receiver-side DataFusion hash reconstruction

Bloom probing and HashTableLookupExpr encoding are intentionally split into follow-up PR1b/PR1c to keep this review bounded.

Validation run locally:

• cargo fmt --all -- --check
• git diff --check
• CARGO_PROFILE_DEV_DEBUG=0 CARGO_PROFILE_TEST_DEBUG=0 cargo test -p common-query request --lib

PR Checklist

Please convert it to a draft if some of the following conditions are not met.

• I have written the necessary rustdoc comments.
• I have added the necessary unit tests and integration tests.
• This PR requires documentation updates.
• API changes are backward compatible.
• Schema or data changes are backward compatible.

[gemini-code-assist]

Code Review

This pull request transitions the project's DataFusion dependency to a new fork and introduces a join-hash Bloom filter payload model (JoinHashBloomPayload) along with its corresponding probe expression (JoinHashBloomProbeExpr) to optimize remote dynamic filter updates. It also adds robust encoding, decoding, and fallback mechanisms, supported by extensive unit tests. The code review feedback suggests restoring the deleted documentation comments for DynFilterUpdate and QueryRequest to preserve code clarity, and simplifying the ceiling division math in num_bits_ceil_bytes using a more standard integer arithmetic pattern.

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