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: 6bfbced	Previous: 102a9fe	Ratio
local_triangle_count/local_triangle_count	1603139 ns/iter (± 211662)	706696 ns/iter (± 8298)	2.27
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	3057237 ns/iter (± 3536)	1468616 ns/iter (± 9419)	2.08
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	3412155 ns/iter (± 11335)	1616091 ns/iter (± 5804)	2.11
lotr_graph_window_10/iterate nodes	32485 ns/iter (± 79)	13145 ns/iter (± 247)	2.47
lotr_graph_window_10/iterate edges	105127 ns/iter (± 445)	49732 ns/iter (± 628)	2.11
lotr_graph_subgraph_10pc/has_edge_existing	476 ns/iter (± 5)	94 ns/iter (± 2)	5.06
lotr_graph_subgraph_10pc/has_node_existing	230 ns/iter (± 1)	35 ns/iter (± 0)	6.57
lotr_graph_subgraph_10pc/iterate nodes	3655 ns/iter (± 13)	1145 ns/iter (± 3)	3.19
lotr_graph_subgraph_10pc_windowed/iterate nodes	3923 ns/iter (± 13)	1763 ns/iter (± 30)	2.23
lotr_graph_window_50_layered/num_nodes	97960 ns/iter (± 4467)	23723 ns/iter (± 2295)	4.13
lotr_graph_window_50_layered/has_node_existing	1294 ns/iter (± 207)	140 ns/iter (± 15)	9.24
lotr_graph_window_50_layered/max_id	106022 ns/iter (± 2727)	30054 ns/iter (± 341)	3.53
lotr_graph_window_50_layered/max_degree	1986476 ns/iter (± 13998)	301176 ns/iter (± 12201)	6.60
lotr_graph_window_50_layered/iterate nodes	246739 ns/iter (± 636)	22036 ns/iter (± 207)	11.20
lotr_graph_window_50_layered/iterate edges	214214 ns/iter (± 382)	94360 ns/iter (± 2143)	2.27
lotr_graph_window_50_layered/max_neighbour_degree	3605677 ns/iter (± 15121)	405979 ns/iter (± 4756)	8.88
lotr_graph_window_50_layered_materialise/materialize	7776929 ns/iter (± 8802)	3369999 ns/iter (± 23217)	2.31
lotr_graph_persistent_window_50_layered/num_edges_temporal	577313 ns/iter (± 3209)	213894 ns/iter (± 3659)	2.70
lotr_graph_persistent_window_50_layered/num_nodes	134175 ns/iter (± 19432)	33955 ns/iter (± 907)	3.95
lotr_graph_persistent_window_50_layered/has_node_existing	1666 ns/iter (± 500)	179 ns/iter (± 93)	9.31
lotr_graph_persistent_window_50_layered/max_id	146526 ns/iter (± 3357)	42737 ns/iter (± 2220)	3.43
lotr_graph_persistent_window_50_layered/max_degree	2883210 ns/iter (± 17532)	466749 ns/iter (± 14768)	6.18
lotr_graph_persistent_window_50_layered/iterate nodes	325856 ns/iter (± 951)	41506 ns/iter (± 354)	7.85
lotr_graph_persistent_window_50_layered/max_neighbour_degree	4973150 ns/iter (± 76278)	525340 ns/iter (± 4113)	9.47
lotr_graph_persistent_window_50_layered_materialise/materialize	13943193 ns/iter (± 25165)	5151712 ns/iter (± 94249)	2.71
lotr_graph/proto_decode	19811967 ns/iter (± 105407)	1911611 ns/iter (± 25778)	10.36
lotr_graph/proto_encode	9187490 ns/iter (± 150270)	1153254 ns/iter (± 20173)	7.97

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