Wrap object stores in python with Compat layer

[robert3005]

object_store requires tokio, Compat makes sure all object store futures are run
on tokio runtime

fix #8279

[codspeed-hq]

Merging this PR will not alter performance

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚡ 5 improved benchmarks
❌ 7 regressed benchmarks
✅ 1507 untouched benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	Simulation	bitwise_not_vortex_buffer_mut[128]	216.9 ns	275.3 ns	-21.19%
❌	Simulation	bitwise_not_vortex_buffer_mut[1024]	278.6 ns	336.9 ns	-17.31%
❌	Simulation	chunked_varbinview_opt_canonical_into[(1000, 10)]	191.4 µs	227.9 µs	-16.01%
❌	Simulation	chunked_varbinview_opt_into_canonical[(1000, 10)]	205.7 µs	242.1 µs	-15.03%
❌	Simulation	decompress_rd[f32, (100000, 0.0)]	499.1 µs	586.4 µs	-14.89%
❌	Simulation	bitwise_not_vortex_buffer_mut[2048]	342.2 ns	400.6 ns	-14.56%
❌	Simulation	decompress_rd[f64, (100000, 0.0)]	845.5 µs	981.6 µs	-13.86%
⚡	Simulation	chunked_bool_canonical_into[(1000, 10)]	46.9 µs	32 µs	+46.78%
⚡	Simulation	chunked_varbinview_canonical_into[(100, 100)]	311.3 µs	276.2 µs	+12.72%
⚡	Simulation	chunked_varbinview_into_canonical[(100, 100)]	363.2 µs	328.3 µs	+10.64%
⚡	Simulation	decompress_rd[f64, (100000, 0.01)]	981.3 µs	889.3 µs	+10.35%
⚡	Simulation	decompress_rd[f64, (100000, 0.1)]	981.2 µs	889.2 µs	+10.35%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing rk/python-reactor (415a8c9) with develop (998bc65)}