dgraph | Native GraphQL Database with graph backend | Database library

 by   dgraph-io Go Version: v23.0.0 License: Non-SPDX

kandi X-RAY | dgraph Summary

kandi X-RAY | dgraph Summary

dgraph is a Go library typically used in Database applications. dgraph has no bugs, it has no vulnerabilities and it has medium support. However dgraph has a Non-SPDX License. You can download it from GitHub.

Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication, and linearizable reads. It's built from the ground up to perform for a rich set of queries. Being a native GraphQL database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster. Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real-time user queries, over terabytes of structured data. Dgraph supports GraphQL query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

            kandi-support Support

              dgraph has a medium active ecosystem.
              It has 19309 star(s) with 1455 fork(s). There are 374 watchers for this library.
              There were 4 major release(s) in the last 6 months.
              There are 192 open issues and 2317 have been closed. On average issues are closed in 109 days. There are 88 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dgraph is v23.0.0

            kandi-Quality Quality

              dgraph has 0 bugs and 0 code smells.

            kandi-Security Security

              dgraph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              dgraph code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              dgraph has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              dgraph releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 209904 lines of code, 7699 functions and 594 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            dgraph Key Features

            Native GraphQL Database with graph backend

            dgraph Examples and Code Snippets

            No Code Snippets are available at this moment for dgraph.

            Community Discussions


            etcd - save data to custom database
            Asked 2022-Jan-27 at 09:08
            Trying to figure out how to create a simple distributed database

            etcd is use to consensus metadata in Kubernetes. I can see Dgraph BadgerDB and other key value stores are using etcd, but I don't know quite how they are using it. Update: It looks like they are using a raft subset of etcd.

            My question:

            etcd is for storing metadata and not data as such - is it possible/recommended to combine etcd with another key value store to handle large data?

            I have also looked at hashicorp raft



            Answered 2022-Jan-27 at 09:08

            The etcd service was conceived to handle metadata: retrieve one key, get some data wich usually in the kilobytes range. Not megabytes.

            You cannot "offlad" etcd to another database / datastore. Etcd need to have its data with low latency on the majority of nodes.

            The biggest criticism about etcd are hardware requirements: 8GB RAM x 3 machines might be too much for some use cases.

            Is it etcd good for you? It depends a lot on:

            • Your workload (mostly read-oriented than write-oriented)
            • How many requests you need from etcd in a short time period: do not 'fire' too many requests at once to etcd or you might trigger a leader election.
            • And your data size: use --auto-compaction enabled to keep disk usage as low as possible removing old data versions.

            Source https://stackoverflow.com/questions/70608845


            Dgraph data is not accessible via graphql if added via DQL mutation
            Asked 2021-Oct-07 at 12:51
            What I want to do

            Add data using DQL mutation https://github.com/dgraph-io/dgo#running-a-mutation and these data to also be visible via graphql.

            Dgraph version: v21.03.2

            DQL schema:



            Answered 2021-Oct-07 at 12:51

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

            Source https://stackoverflow.com/questions/69439042


            Multiple $PORT on Heroku Docker deployment
            Asked 2021-Sep-28 at 09:40

            The current deployment Dockerfile contains this



            Answered 2021-Sep-28 at 09:40

            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.

            Source https://stackoverflow.com/questions/69357594


            Failed to install Dgraph. Got "Error while dialing dial tcp: lookup dgraph-zero-0.dgraph-zero.hm.svc.cluster.local: no such host"
            Asked 2021-Aug-09 at 15:13

            I am trying to install Dgraph. Here is what I did:

            I created a dev cluster by k3d by



            Answered 2021-Aug-09 at 15:13

            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.

            Source https://stackoverflow.com/questions/68671258


            Many to many with pivot data to dgraph using graphql schema
            Asked 2021-May-19 at 14:06

            I have the bellow many to many relation using a relational DB and I want to transition this to the dgraph DB.

            This relation has also extra columns in the pivot table: products_stores like price, disc_price.

            I have the bellow dgraph schema using graphql:



            Answered 2021-May-19 at 14:06

            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)

            Source https://stackoverflow.com/questions/67599129


            Getting problem in displaying chartist graph in html in button is clicked
            Asked 2021-Apr-20 at 03:57

            I am trying to display the chartist graph if the user clicks the button. But when I was doing this I was facing the problem that, if I display the graph normally then it will show properly but if I put the ajax show() the all the graph is getting shrink as given in the image below.

            Without button clicked

            On button clicked display of graph




            Answered 2021-Apr-20 at 03:57

            Just move chart initialization to inside click

            Source https://stackoverflow.com/questions/67172167


            Weight of edges is not showing
            Asked 2021-Feb-04 at 12:31

            I try to make graph like this using networkx:

            When I try to draw edges weight, weight of edge 1->2 (which is 2) is not showing in my graph.

            How can I fix this?



            Answered 2021-Feb-04 at 11:09

            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

            Source https://stackoverflow.com/questions/66044075


            In a graph db, is there a limit on how many node labels you can have?
            Asked 2021-Jan-05 at 18:35

            I'm considering making hundreds of thousands of nodes with their own labels and connecting them to each other via millions of edges.

            Has this sort of thing been benchmarked anywhere with Neo4j, Dgraph, or any other graph db?



            Answered 2021-Jan-05 at 18:35


            OKTA Authorization Server ‘namespace’ for custom claims
            Asked 2021-Jan-05 at 11:30

            I have an Authorization Server which is happily returning various ‘out of the box’ and custom claims as necessary which is great.

            The back-end (DGraph GraphQL hosted server https://slash.dgraph.io/) requires a ‘namespace’ for the claims I want it to use but all of the claims in my token are at the root of the payload.

            My example JWT payload from Okta is:



            Answered 2021-Jan-05 at 11:30

            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.

            Source https://stackoverflow.com/questions/65540184


            What is using so much memory on an idle linux server? Comparing output of "htop" and "ps aux"
            Asked 2021-Jan-02 at 20:49

            I am trying to understand and compare the output I see from htop (sorted by mem%) and "ps aux --sort=-%mem | grep query.jar" and determine why 24.2G out of 32.3G is in use on an idle server.

            The ps command shows a single parent (not child process I assume):



            Answered 2021-Jan-02 at 20:49

            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.

            Source https://stackoverflow.com/questions/65542577

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install dgraph

            The quickest way to install Dgraph is to run this command on Linux or Mac.
            If you're using Docker, you can use the official Dgraph image.
            If you want to install from source, install Go 1.13+ or later and the following dependencies:.
            Then clone the Dgraph repository and use make install to install the Dgraph binary to $GOPATH/bin.
            Installation to queries in 3 steps via dgraph.io/docs/.
            A longer interactive tutorial via dgraph.io/tour/.
            Tutorial and presentation videos on YouTube channel.


            Please use discuss.dgraph.io for documentation, questions, feature requests and discussions.Please use discuss.dgraph.io for filing bugs or feature requests.Follow us on Twitter @dgraphlabs.
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