ignite | Infinite Red's battle-tested React Native project boilerplate, along with a CLI, component/model gen | Frontend Framework library

 by   infinitered TypeScript Version: v8.8.2 License: MIT

kandi X-RAY | ignite Summary

kandi X-RAY | ignite Summary

ignite is a TypeScript library typically used in User Interface, Frontend Framework, React Native, Boilerplate applications. ignite has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Infinite Red's battle-tested React Native project boilerplate, along with a CLI, component/model generators, and more!
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              ignite has a medium active ecosystem.
              It has 15400 star(s) with 1287 fork(s). There are 241 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 35 open issues and 1225 have been closed. On average issues are closed in 78 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ignite is v8.8.2

            kandi-Quality Quality

              ignite has no bugs reported.

            kandi-Security Security

              ignite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ignite is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ignite releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ignite
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            ignite Key Features

            No Key Features are available at this moment for ignite.

            ignite Examples and Code Snippets

            Initiates an Ignite instance .
            javadot img1Lines of Code : 10dot img1License : Permissive (MIT License)
            copy iconCopy
            @Bean
                public Ignite igniteInstance() {
                    IgniteConfiguration config = new IgniteConfiguration();
                    
                    CacheConfiguration cache = new CacheConfiguration("baeldungCache");
                    
                    cache.setIndexedTypes(Integer.class, Empl  

            Community Discussions

            QUESTION

            List to List
            Asked 2021-Jun-15 at 06:44

            I have a SQL query which returns an array.

            ...

            ANSWER

            Answered 2021-Jun-14 at 14:16

            SQL SUM function return type is mapped to Long for integral-type columns in Java, so you'll probably need to change the list to List and process it then.

            See for example https://docs.oracle.com/cd/E19226-01/820-7627/bnbvy/index.html

            Source https://stackoverflow.com/questions/67971794

            QUESTION

            Make first row of igx-grid not editable
            Asked 2021-Jun-14 at 09:41

            I've got a normal igx-grid where the rows are all editable. However, the first row should never be editable. How do I handle that? Also, in the code-snippet below, can you tell me what I've done wrong with the last column? I just want a trash can icon to show up there, but the cell is blank.

            ...

            ANSWER

            Answered 2021-Jun-14 at 09:41

            You can use the IgxGridComponent's rowEditEnter event and cancel it in order to prevent entering edit mode, effectively making it uneditable.

            Regarding your question about setting an icon in the column, you should wrap the content in a template like this:

            Source https://stackoverflow.com/questions/67735137

            QUESTION

            In Apache Ignite, how to control on which node cache is created
            Asked 2021-Jun-07 at 14:42

            In ignite, how can I control on which node cache is created? If I need to guarantee one cache is created on all nodes, how can I do that?

            Will following codes create cache on all nodes or just some of them?

            ...

            ANSWER

            Answered 2021-Jun-07 at 10:12

            In short, to have a cache on all nodes you need to configure REPLICATED cache mode. The default mode is PARTITIONED one which means data will be spread equally across cluster nodes.

            I think configuring nodeFilters is the easiest way of adjusting the default behavior, you can say to Ignite which nodes should not keep the data depending on some user-defined node attributes. Please, be aware that you should have a good reason behind changing the default distribution and understand the trade-offs.

            Source https://stackoverflow.com/questions/67869248

            QUESTION

            Trying to make a real time object detection with TFjs and React Native, always gives the same prediction and stops when camera is opened
            Asked 2021-Jun-07 at 04:03

            When the camera opens a blank camera appears for a few seconds and it always gives the same below output and stops.

            prediction: [{"className":"nematode, nematode worm, roundworm","probability":0.050750732421875},{"className":"matchstick","probability":0.043731689453125},{"className":"lighter, light, igniter, ignitor","probability":0.021453857421875}]

            Any idea how I can make the real time prediction work? without getting a false prediction as above just for one time

            Below is the Camera Screen code where the prediction should happen in real time camera feed when user scans a certain surrounding

            ...

            ANSWER

            Answered 2021-Jun-07 at 04:03

            In the function handleCameraStream you stop looping the function once a prediction is found. In your case you would want to constantly run the loop as you want to make predictions on all the frames not a single one.

            Source https://stackoverflow.com/questions/67862669

            QUESTION

            How to get image exif data via cURL PHP
            Asked 2021-Jun-03 at 14:09

            I download an image by cURL on KOBO Collect server. The download is fine, however it overwrites the exif data in the image. I use Code Igniter 4.

            I would like to get the exif data contained in the image before or after the download, with PHP or javascript. This data must be stored in my database (gps etc) My code :

            ...

            ANSWER

            Answered 2021-Jun-03 at 14:09

            I finally found a solution. By using "copy" the exif data is not altered. Also insert username and password in url far auth.

            Source https://stackoverflow.com/questions/67803253

            QUESTION

            How to add X-Total-Count to header response in Rocket Rust REST API?
            Asked 2021-Jun-02 at 18:30

            I create a REST API with Rust and Rocket that works with swagger. Now I'm trying to consumes this API with React react-admin to be precise. Everything works OK until I need to call a list where the famous X-Total-Count problem appears, and I am not able to solve it, probably due to lack of experience with Rust.

            This is the message "The X-Total-Count header is missing in the HTTP Response. The jsonServer Data Provider expects responses for lists of resources to contain this header with the total number of results to build the pagination. If you are using CORS, did you declare X-Total-Count in the Access-Control-Expose-Headers header"

            This is my response header

            ...

            ANSWER

            Answered 2021-Jun-02 at 18:30

            Try to add a header to the response by wrapping Json> (that implement Responder trait) with a custom struct (see Rocket docs on custom responders:

            Source https://stackoverflow.com/questions/67806960

            QUESTION

            A fatal error has been detected by the Java Runtime Environment when ignite native persistence is on
            Asked 2021-Jun-01 at 11:11

            I try to put Apache Arrow vector in Ignite, this is working fine when I turn off native persistence, but after I turn on native persistence, JVM is crashed every time. I create IntVector first then put it in Ignite:

            ...

            ANSWER

            Answered 2021-Jun-01 at 11:11

            Apache Arrow utilizes a pretty similar idea of Java off-heap storage as Apache Ignite does. For Apache Arrow it means that objects like IntVector don't actually store data in their on-heap layout. They just store a reference to a buffer containing an off-heap address of a physical representation. Technically it's a long offset pointing to a chunk of memory within JVM address space.

            When you restart your JVM, address space changes. But in your Apache Ignite native persistence there's a record holding an old pointer. It leads to a SIGSEGV because it's not in the JVM address anymore (in fact it doesn't even exist after a restart).

            You could use Apache Arrow serialization machinery to store data permanently in Apache Ignite or even somewhere else. But in fact after that you're going to lose Apache Arrow preciousness as a fast in-memory columnar store. It was initially designed to share off-heap data across multiple data-processing solutions.

            Therefore I believe that technically it could be possible to leverage Apache Ignite binary storage format. In that case a custom BinarySerializer should be implemented. After that it would be possible to use it with the Apache Arrow vector classes.

            Source https://stackoverflow.com/questions/67734205

            QUESTION

            Which part of Orleans is actually distributed?
            Asked 2021-May-30 at 02:05

            There is a couple of confusing points in the documentation that make me struggle to understand how exactly distribution across the cluster happens in Orleans. Hence, the questions.

            Question #1

            Orleans claims to have a built-in distribution capabilities to distribute across multiple servers. To me it sounds that Orleans can act as a load balancer itself and can scale out automatically. Thus, if I deploy Orleans app to several servers, then service discovery and load management should happen automatically, correct?

            In this case, why some docs and articles suggest using other tools, like Ocelot or Consul, as a single entry point to Orleans cluster?

            Question #2

            I would like to use simple but distributed in-memory storage across several servers, like Redis or Apache Ignite, and I would like to know if it's possible to use a simple grain as this kind of a data storage?

            Let's say, one grain will store a collection of restaurants and some other grain will keep track of the last 1000 visitors for selected restaurant. Can I activate these 2 grains only once as a singleton collection, add or remove records to each collection, and use these 2 grains as in-memory storage evenly available to all nodes in the cluster? Also, if answer is yes, do I need to add locks to these collections or each grain always exists in a single thread?

            ...

            ANSWER

            Answered 2021-May-30 at 02:05
            1. Service discovery and load management happen automatically indeed. Consul is not a strong required. The only external requirement is a Membership table provider - something that is used internally by Orleans Clustering. There are many build in Membership table providers that come already built-in with Orleans. For example, Azure table storage. all you need is to configure Orleans to use it and of course have Azure storage account. Consul is another alternative to Membership table provider and there are more.

            Another thing that does not come built-in is infrastructure scaling. If your service demand increases, something need to ask the infrastructure provider (Cloud Provider) to add more Servers. Once servers are added, Orleans will automatically adjust the workload and load balance across the new servers as well. But figuring out that more servers are needed and adding them is not done by Orleans itself (there likely some externally contributed tools to do that. maybe K8 can be configured to do that? I am not completely sure about that).

            1. Yes, you can use those 2 grains as in-memory storage, just like you wrote. And no, you do not need to use locks. All grains are single threaded.

            Source https://stackoverflow.com/questions/67756387

            QUESTION

            No module named 'numpy' during docker build
            Asked 2021-May-27 at 16:31

            I am following the instruction (https://github.com/huggingface/transfer-learning-conv-ai) to install conv-ai from huggingface, but I got stuck on the docker build step: docker build -t convai .

            I am using Mac 10.15, python 3.8, increased Docker memory to 4G.

            I have tried the following ways to solve the issue:

            1. add numpy in requirements.txt
            2. add RUN pip3 install --upgrade setuptools in Dockerfile
            3. add --upgrade to RUN pip3 install -r /tmp/requirements.txt in Dockerfile
            4. add RUN pip3 install numpy before RUN pip3 install -r /tmp/requirements.txt in Dockerfile
            5. add RUN apt-get install python3-numpy before RUN pip3 install -r /tmp/requirements.txt in Dockerfile
            6. using python 3.6.13 because of this post, but it has exact same error.
            7. I am currently working on debugging inside the container by entering right before the RUN pip3 install requirements.txt

            Can anyone help me on this? Thank you!!

            The error:

            ...

            ANSWER

            Answered 2021-Mar-12 at 15:47

            Did you try adding numpy into the requirements.txt? It looks to me that it is missing.

            Source https://stackoverflow.com/questions/66602656

            QUESTION

            Correct Namespace and DsicoverSpi for Ignite running on Kubernetes
            Asked 2021-May-27 at 10:57

            I have two questions regarding how to set up Ignite in Kubernetes.

            1. Do all nodes need to be in the same namespace? E.G. If I have a thick client and a server node, do both need to be in the same name space to form a cluster?

            From my research I think the answer is yes they need to be in the same namespace but I have not found any definitive documentation

            1. Do both the client and server nodes need to be running the TcpDiscoveryKubernetesIpFinder or can nodes use a mix of the TcpDiscoveryKubernetesIpFinder and the static IPfinder?

            From my resaerch I am fairly confident that all nodes must be running with the TcpDiscoveryKubernetesIpFinder but again I have not found any definitive documentation.

            ...

            ANSWER

            Answered 2021-May-27 at 10:57

            As far as I know, there are no restrictions from Ignite's side. But one of the main issues that need to be addressed is - how to configure discovery and communication in a dynamic K8s world and additional network virtualization. Technically, it's possible to use the default TcpDiscoveryVmIpFinder with a predefined set of IPs, but you need to keep track of the real pods IPs and change them accordingly on restarts. To address this issue it's recommended to use TcpDiscoveryKubernetesIpFinder that uses a configured K8s Service controller to resolve IPs instead.

            Therefore answering your questions:

            1. I can't see why different namespaces won't work. At least if RBAC is configured properly and pods in both namespaces can access the service and each other.

            2. No, you can use any IpFinder, but it's way simpler and recommended to use TcpDiscoveryKubernetesIpFinder as mentioned above. Note, if you need to access a cluster from outside of K8s you might need to have an additional configuration: https://ignite.apache.org/docs/latest/clustering/running-client-nodes-behind-nat

            Source https://stackoverflow.com/questions/67712558

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

            Vulnerabilities

            No vulnerabilities reported

            Install ignite

            Ignite will walk you through the rest. If you'd like to follow a tutorial, check out this one from Robin Heinze.
            For Expo-powered React Native apps, no prerequisites are necessary (why choose Expo?)
            For vanilla React Native, make sure you're set up for React Native by following our free Infinite Red Academy course for macOS or for Windows 10 first

            Support

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            gh repo clone infinitered/ignite

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