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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
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12 changed files with 651 additions and 4 deletions
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@ -10,6 +10,9 @@ local images = import "values/images.jsonnet";
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local container =
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engine.container("memgraph")
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.with_image(images.memgraph_mage)
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.with_environment({
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MEMGRAPH: "--storage-properties-on-edges=true --storage-enable-edges-metadata=true"
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})
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.with_limits("1.0", "1000M")
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.with_reservations("0.5", "1000M")
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.with_port(7474, 7474, "api")
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