improving documentation #7
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Contributor
jakobtroidl
commented
Jun 27, 2022
jakobtroidl
commented
- added hint that bucket must be public
- mentioned not to use dashes in bigtable name
clarified where to make resource adjustments.
added service account roles to description
clarified documentation
akhileshh
reviewed
Jun 27, 2022
| $ kubectl exec -ti deploy/master -- bash | ||
| // now you're in the container | ||
| > ingest graph <unique_test_bigtable_name> datasets/test.yml --test | ||
| > ingest graph <unique_test_bigtable_name> datasets/test.yml --test // avoid dashes in <unique_test_bigtable_name>, neuroglancer can't handle them |
Contributor
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I think it might be cave code that has issues with dashes. It is better to just say use underscores instead.
akhileshh
reviewed
Jun 27, 2022
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| > NOTE: Depending on your dataset, you will need to figure out the optimal limits for cpu and memory in your worker deployments. To do that adjust the `count` and `machine` variables in terraform.tfvars. It can vary with chunk size, size of supervoxels (atomic semgents in layer 1), number of edges per chunk and so on. | ||
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| > NOTE: The bucket storing the edges, components etc must be public. The bucket is also linked in `example_values.yaml` [here](https://github.com/seung-lab/CAVEpipelines/blob/4d0ee8d98fb8891074d6e1115ed9394e6a021cd5/helm/pychunkedgraph/example_values.yaml#L29). |
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The bucket with segmentation data needs to be public, not the one with edges and components. They do not need to be in the same bucket. It needs to be public for neuroglancer to read.
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