Feature/memgraph optim (#193)

* Separate memgraph query/write modules to optimise for memgraph
* Used 1GB memory for Memgraph
* Deployed specialised memgraph query/write processors, created memgraph indexes
* One triple is loaded as a single transaction
* Fixed index creation
This commit is contained in:
cybermaggedon 2024-12-06 00:12:49 +00:00 committed by GitHub
parent e3d06ab80b
commit bffaf62490
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
12 changed files with 651 additions and 4 deletions

View file

@ -10,6 +10,9 @@ local images = import "values/images.jsonnet";
local container =
engine.container("memgraph")
.with_image(images.memgraph_mage)
.with_environment({
MEMGRAPH: "--storage-properties-on-edges=true --storage-enable-edges-metadata=true"
})
.with_limits("1.0", "1000M")
.with_reservations("0.5", "1000M")
.with_port(7474, 7474, "api")