refactor: Bump OpenDAL 0.46, arrow 51, tonic 0.11, reqwest 0.12, hyper 1, http 1

[Xuanwo]

I hereby agree to the terms of the CLA available at: https://docs.databend.com/dev/policies/cla/

Summary

This PR will bump the following pacakges:

• OpenDAL 0.46
• arrow 51
• tonic 0.11
• reqwest 0.12
• hyper 1
• http 1

I have to submit them all in one PR to make sure databend can build.

Changes that worth of mention

OpenDAL v0.46 has transitioned from AsyncRead-based IO to Range-based IO. While some internal implementations have been refactored, not all are performing optimally. We need to address this regression.

We have transitioned to range-based IO for both Parquet and native formats; please give this area extra attention.

To minimize the number of changes in the PR, I refactored directly without robust abstraction, such as using opendal::Reader directly in the native format API. I intend to refine this aspect in upcoming PRs.

Benchmarks

Concurrent reading is enabled only for loading CSV/TSV files; other queries remain unaffected. I will first ensure there are no regressions, and then I'll optimize Parquet reading.

Qeury Performance

hits

tpch

Load (with 2 concurrent)

Load (with 4 concurrent)

Tests

• Unit Test
• Logic Test
• Benchmark Test
• No Test - Explain why

Type of change

• Bug Fix (non-breaking change which fixes an issue)
• New Feature (non-breaking change which adds functionality)
• Breaking Change (fix or feature that could cause existing functionality not to work as expected)
• Documentation Update
• Refactoring
• Performance Improvement
• Other (please describe):

---

This change is 

[Xuanwo]

I'm waiting for the benchmark results.

[github-actions]

Docker Image for PR

• tag: pr-15442-9e07209

note: this image tag is only available for internal use,
please check the internal doc for more details.

[Xuanwo]

The benchmark seems quiet slow, I'm working on this.

[github-actions]

ClickBench Report

• hits: https://benchmark.databend.rs/clickbench/pr/15442/9029935795/hits.html
• internal: https://benchmark.databend.rs/clickbench/pr/15442/9029935795/internal.html
• load: https://benchmark.databend.rs/clickbench/pr/15442/9029935795/load.html
• tpch: https://benchmark.databend.rs/clickbench/pr/15442/9029935795/tpch.html

[github-actions]

Docker Image for PR

• tag: pr-15442-3c97076

note: this image tag is only available for internal use,
please check the internal doc for more details.

[github-actions]

ClickBench Report

• hits: https://benchmark.databend.rs/clickbench/pr/15442/9031150618/hits.html
• internal: https://benchmark.databend.rs/clickbench/pr/15442/9031150618/internal.html
• load: https://benchmark.databend.rs/clickbench/pr/15442/9031150618/load.html
• tpch: https://benchmark.databend.rs/clickbench/pr/15442/9031150618/tpch.html

[github-actions]

Docker Image for PR

• tag: pr-15442-9013fda

note: this image tag is only available for internal use,
please check the internal doc for more details.

[github-actions]

ClickBench Report

• hits: https://benchmark.databend.rs/clickbench/pr/15442/9034679197/hits.html
• internal: https://benchmark.databend.rs/clickbench/pr/15442/9034679197/internal.html
• load: https://benchmark.databend.rs/clickbench/pr/15442/9034679197/load.html
• tpch: https://benchmark.databend.rs/clickbench/pr/15442/9034679197/tpch.html

[github-actions]

Docker Image for PR

• tag: pr-15442-41987a4

note: this image tag is only available for internal use,
please check the internal doc for more details.

[github-actions]

ClickBench Report

• hits: https://benchmark.databend.rs/clickbench/pr/15442/9035486915/hits.html
• internal: https://benchmark.databend.rs/clickbench/pr/15442/9035486915/internal.html
• load: https://benchmark.databend.rs/clickbench/pr/15442/9035486915/load.html
• tpch: https://benchmark.databend.rs/clickbench/pr/15442/9035486915/tpch.html

[Xuanwo]

Hi, @youngsofun, this PR is ready for review now!

[BohuTANG]

The data load times improved significantly in OpenDAL 0.46, but query performance as measured by the hits benchmark seems unchanged. What specific optimizations did 0.46 include that sped up loading but not queries?

[Xuanwo]

What specific optimizations did 0.46 include that sped up loading but not queries?

OpenDAL v0.46 introduces a new feature known as concurrent read, also referred to as auto ranged read. This feature allows us to read large files with concurrency.

However, I've only enabled concurrency in a few continuous reading areas like the bytes reader. Other areas remain unchanged, and I'm satisfied with the current performance since there's no significant regression. I plan to optimize additional areas in upcoming PRs.