New cache implementation for the server

[ljeub-pometry]

What changes were proposed in this pull request?

• new cache based on quick_cache
• no more evicting of dirty graphs
• atomic replace of cached graphs
• specifying port=0 for server start now works
• starting a server without specifying a port now falls back to using an arbitrary port if the default port is in use
• python tests now work even if there is a graphql server running on 1736
• server startup no longer pings the network interface to figure out if the server has started (it uses messaging between threads instead).

Why are the changes needed?

• race conditions in the server when replacing graphs

Does this PR introduce any user-facing change? If yes is this documented?

How was this patch tested?

• improved the tests such that they fail when the flush on drop fails (but only when compiled with a special test feature)

Are there any further changes required?

[github-actions]

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'Rust Benchmark'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 2.

Benchmark suite	Current: 592431a	Previous: 9823ef7	Ratio
lotr_graph/num_edges	5 ns/iter (± 0)	0 ns/iter (± 0)	+∞
lotr_graph/num_nodes	5 ns/iter (± 0)	1 ns/iter (± 0)	5
lotr_graph/iterate_exploded_edges	588205 ns/iter (± 1922)	285473 ns/iter (± 2920)	2.06
lotr_graph/graph_latest	3 ns/iter (± 0)	0 ns/iter (± 0)	+∞
lotr_graph_materialise/materialize	7837181 ns/iter (± 113918)	1564816 ns/iter (± 35303)	5.01
lotr_graph_window_100/num_nodes	13 ns/iter (± 0)	5 ns/iter (± 0)	2.60
lotr_graph_window_100/iterate_exploded_edges	766188 ns/iter (± 3342)	325242 ns/iter (± 847)	2.36
lotr_graph_window_100_materialise/materialize	8161389 ns/iter (± 39733)	1669150 ns/iter (± 10700)	4.89
lotr_graph_window_10/has_node_existing	148 ns/iter (± 6)	62 ns/iter (± 11)	2.39
lotr_graph_window_10/iterate nodes	32062 ns/iter (± 709)	11339 ns/iter (± 40)	2.83
lotr_graph_window_10/iterate edges	97695 ns/iter (± 1116)	48684 ns/iter (± 211)	2.01
lotr_graph_window_10/iterate_exploded_edges	398391 ns/iter (± 2216)	155788 ns/iter (± 1001)	2.56
lotr_graph_window_10_materialise/materialize	3601056 ns/iter (± 24862)	971980 ns/iter (± 4278)	3.70
lotr_graph_subgraph_10pc_materialise/materialize	1665463 ns/iter (± 18088)	334634 ns/iter (± 1287)	4.98
lotr_graph_subgraph_10pc_windowed/has_node_existing	150 ns/iter (± 6)	62 ns/iter (± 14)	2.42
lotr_graph_subgraph_10pc_windowed/iterate nodes	5547 ns/iter (± 104)	1365 ns/iter (± 3)	4.06
lotr_graph_subgraph_10pc_windowed_materialise/materialize	1024134 ns/iter (± 9268)	230399 ns/iter (± 2617)	4.45
lotr_graph_window_50_layered/num_edges_temporal	150074 ns/iter (± 2812)	70121 ns/iter (± 7586)	2.14
lotr_graph_window_50_layered/has_node_existing	427 ns/iter (± 17)	129 ns/iter (± 12)	3.31
lotr_graph_window_50_layered/iterate nodes	74071 ns/iter (± 1897)	19308 ns/iter (± 47)	3.84
lotr_graph_window_50_layered/iterate edges	187566 ns/iter (± 8667)	83616 ns/iter (± 1318)	2.24
lotr_graph_window_50_layered/graph_latest	78801 ns/iter (± 1766)	36649 ns/iter (± 916)	2.15
lotr_graph_window_50_layered_materialise/materialize	31836273 ns/iter (± 94868)	3488825 ns/iter (± 24948)	9.13
lotr_graph_persistent_window_50_layered/num_edges_temporal	604350 ns/iter (± 8461)	192686 ns/iter (± 1569)	3.14
lotr_graph_persistent_window_50_layered/has_node_existing	462 ns/iter (± 311)	174 ns/iter (± 83)	2.66
lotr_graph_persistent_window_50_layered/iterate nodes	98519 ns/iter (± 844)	35886 ns/iter (± 191)	2.75
lotr_graph_persistent_window_50_layered/iterate edges	174431 ns/iter (± 671)	84161 ns/iter (± 596)	2.07
lotr_graph_persistent_window_50_layered/iterate_exploded_edges	4388997 ns/iter (± 52137)	1659940 ns/iter (± 19402)	2.64
lotr_graph_persistent_window_50_layered_materialise/materialize	56440067 ns/iter (± 734323)	5298035 ns/iter (± 147912)	10.65
lotr_graph/proto_encode	9438456 ns/iter (± 88389)	1157897 ns/iter (± 73709)	8.15

This comment was automatically generated by workflow using github-action-benchmark.

[fabianmurariu]

LGTM, small changes