GraphQL improvements for v4

[ljeub-pometry]

What changes were proposed in this pull request?

• support for atomic replacements of graphs/folders/namespaces
• rework of the internal folder structures

Why are the changes needed?

fixes #2377 (reenables the tests and fixes serialisation)
fixes #2384

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

How was this patch tested?

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: 680901d	Previous: 102a9fe	Ratio
local_triangle_count/local_triangle_count	1549513 ns/iter (± 125874)	706696 ns/iter (± 8298)	2.19
lotr_graph/num_edges	4 ns/iter (± 0)	0 ns/iter (± 0)	+∞
lotr_graph/num_nodes	79 ns/iter (± 0)	1 ns/iter (± 0)	79
lotr_graph_materialise/materialize	3137711 ns/iter (± 8991)	1468616 ns/iter (± 9419)	2.14
lotr_graph_window_100/num_edges	27 ns/iter (± 0)	8 ns/iter (± 0)	3.38
lotr_graph_window_100/num_nodes	90 ns/iter (± 0)	5 ns/iter (± 0)	18
lotr_graph_window_100_materialise/materialize	3530994 ns/iter (± 5857)	1616091 ns/iter (± 5804)	2.18
lotr_graph_window_10/iterate nodes	32000 ns/iter (± 60)	13145 ns/iter (± 247)	2.43
lotr_graph_window_10/iterate edges	105645 ns/iter (± 229)	49732 ns/iter (± 628)	2.12
lotr_graph_subgraph_10pc/has_edge_existing	474 ns/iter (± 5)	94 ns/iter (± 2)	5.04
lotr_graph_subgraph_10pc/has_node_existing	226 ns/iter (± 2)	35 ns/iter (± 0)	6.46
lotr_graph_subgraph_10pc/iterate nodes	3760 ns/iter (± 7)	1145 ns/iter (± 3)	3.28
lotr_graph_subgraph_10pc_windowed/iterate nodes	3849 ns/iter (± 8)	1763 ns/iter (± 30)	2.18
lotr_graph_window_50_layered/num_nodes	100417 ns/iter (± 2676)	23723 ns/iter (± 2295)	4.23
lotr_graph_window_50_layered/has_node_existing	1581 ns/iter (± 224)	140 ns/iter (± 15)	11.29
lotr_graph_window_50_layered/max_id	110826 ns/iter (± 3173)	30054 ns/iter (± 341)	3.69
lotr_graph_window_50_layered/max_degree	2125979 ns/iter (± 36938)	301176 ns/iter (± 12201)	7.06
lotr_graph_window_50_layered/iterate nodes	237328 ns/iter (± 563)	22036 ns/iter (± 207)	10.77
lotr_graph_window_50_layered/iterate edges	218695 ns/iter (± 498)	94360 ns/iter (± 2143)	2.32
lotr_graph_window_50_layered/max_neighbour_degree	3610312 ns/iter (± 36936)	405979 ns/iter (± 4756)	8.89
lotr_graph_window_50_layered_materialise/materialize	7994150 ns/iter (± 144807)	3369999 ns/iter (± 23217)	2.37
lotr_graph_persistent_window_50_layered/num_edges_temporal	579117 ns/iter (± 6275)	213894 ns/iter (± 3659)	2.71
lotr_graph_persistent_window_50_layered/num_nodes	147977 ns/iter (± 4242)	33955 ns/iter (± 907)	4.36
lotr_graph_persistent_window_50_layered/has_node_existing	1634 ns/iter (± 451)	179 ns/iter (± 93)	9.13
lotr_graph_persistent_window_50_layered/max_id	151678 ns/iter (± 4505)	42737 ns/iter (± 2220)	3.55
lotr_graph_persistent_window_50_layered/max_degree	3008263 ns/iter (± 43880)	466749 ns/iter (± 14768)	6.45
lotr_graph_persistent_window_50_layered/iterate nodes	324909 ns/iter (± 718)	41506 ns/iter (± 354)	7.83
lotr_graph_persistent_window_50_layered/max_neighbour_degree	4834904 ns/iter (± 34175)	525340 ns/iter (± 4113)	9.20
lotr_graph_persistent_window_50_layered_materialise/materialize	13977171 ns/iter (± 18993)	5151712 ns/iter (± 94249)	2.71
lotr_graph/proto_decode	20129430 ns/iter (± 107772)	1911611 ns/iter (± 25778)	10.53
lotr_graph/proto_encode	9228254 ns/iter (± 110930)	1153254 ns/iter (± 20173)	8.00

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