dgraph | Native GraphQL Database with graph backend | Database library

The issue is because the dgraph also wants a DType to be passed via dql mutation like so:

It is not possible: every Web Dyno exposes only one port which is provided at runtime with the $PORT env variable.

You can deploy each component into its own Dyno (they will then communicate over HTTPS).

Or you could look at Heroku Private Spaces which is an enterprise feature.

Found the issue, it is because the Dgraph yaml hard coded .svc.cluster.local.

Opened the pull request at https://github.com/dgraph-io/dgraph/pull/7976 to resolve the issue.

To model a pivot table that is only a linking pivot table holding no additional information, then you model it as you did above. However, if your pivot table contains additional information regarding the relationship, then you will need to model it with an intermediate linking type. Almost the same idea as above. I prefer these linking types to have a name describing the link. For instance I named it in this case Stock but that name could be anything you want it to be. I also prefer camelCase for field names so my example reflects this preference as well. (I added some search directives too)

Just move chart initialization to inside click

What a well-asked first question. Welcome to Stackoverflow.

Your code is fine. You are running into a limitation of networkx, which does not keep track of the arc of the edge when labelling edges. Instead, it places edge labels on a straight line between the two nodes; by default, it chooses the center of that straight line. This has two consequences for your plot:

1. the edge labels are slightly offset w.r.t. your edge paths, and
2. labels on bi-directional edges are plotted on top of each other.

There is no solution for the first issue; however, you can work around the second issue by specifying the argument label_pos to anything other than 0.5. For example, changing your code to

Yes, 4 billions in Neo4j, reference here : https://neo4j.com/docs/operations-manual/current/tools/store-info/#neo4j-admin-store-format-versions

You'll need to create your namespace as one claim within the authorization server, then add each of the claims within the namespace inside of that claim's value inside of {} as if you were writing JSON.

Value for copy paste simplicity {"one":"one", "two":"two", "username": appuser.userName}

The expression language will still be evaulated so you can use conditionals and values from the user's profile as you would normally.

The primary difference between htop and ps aux is that htop shows each individual thread belonging to a process rather than the process only - this is similar to ps auxm. Using the htop interactive command H, you can hide threads to get to a list that more closely corresponds to ps aux.

In terms of memory usage, those additional entries representing individual threads do not affect the actual memory usage total because threads share the address space of the associated process.

RSS (resident set size) in general is problematic because it does not adequately represent shared pages (due to shared memory or copy-on-write) for your purpose - the sum can be higher than expected in those cases. You can use smem -t to get a better picture with the PSS (proportional set size) column. Based on the facts you provided, that is not your issue, though.

In your case, it might make sense to dig deeper via smem -tw to get a memory usage breakdown that includes (non-cache) kernel resources. /proc/meminfo provides further details.