dGraph | Create layered directed graphs with JavaScript and Scalable | Animation library

Just move chart initialization to inside click

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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.

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To get your code working locally with the docker "standalone" version of DGraph I had to change 2 things:

• use port 9080. The container exposes 3 ports: 8000, 8080, 9080. Using 8080 or 8000 I get the same error you mentioned.
• use the v2 imports. Not sure which version of DGraph server you are running, so you might not need to do this. But in case you have a new server you need these imports:

There is not currently. With the upcoming @lambda directive and javascript hook functions, you can have such features. Version 20.11 is exepected to be released early November, 2020.

It looks to me like you could be returning the appropriate data in your user resolver, with one exception: when Absinthe goes to resolve the fields for each user, the default resolver only looks for the fields as atom keys. When it can't find :uid, :email, or :name in the parent maps, it returns nil.

You could convert the result to have atoms as keys. One option if you want to go that route would just be to map over each user and explicitly copy what you want.

the following upsert seems to work: