demo-rest-jersey-spring | Project described on Codingpedia.org in the blog | Microservice library

 by   CodepediaOrg Java Version: Current License: MIT

kandi X-RAY | demo-rest-jersey-spring Summary

kandi X-RAY | demo-rest-jersey-spring Summary

demo-rest-jersey-spring is a Java library typically used in Architecture, Microservice, Spring Boot, Spring, Docker, Hibernate applications. demo-rest-jersey-spring has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However demo-rest-jersey-spring has 1 bugs. You can download it from GitHub.

Project described on Codingpedia.org in the blog post: "Tutorial – REST API design and implementation in Java with Jersey and Spring"
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            kandi-support Support

              demo-rest-jersey-spring has a low active ecosystem.
              It has 230 star(s) with 192 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1854 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of demo-rest-jersey-spring is current.

            kandi-Quality Quality

              demo-rest-jersey-spring has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 42 code smells.

            kandi-Security Security

              demo-rest-jersey-spring has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              demo-rest-jersey-spring code analysis shows 0 unresolved vulnerabilities.
              There are 8 security hotspots that need review.

            kandi-License License

              demo-rest-jersey-spring 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

              demo-rest-jersey-spring releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              demo-rest-jersey-spring saves you 927 person hours of effort in developing the same functionality from scratch.
              It has 2115 lines of code, 161 functions and 44 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed demo-rest-jersey-spring and discovered the below as its top functions. This is intended to give you an instant insight into demo-rest-jersey-spring implemented functionality, and help decide if they suit your requirements.
            • Creates a response from an exception
            • Sets the HTTP status code to the error message
            • Set the code
            • Set the developer message
            • Get a list of all episodes that match the orderByInsertionDate and orderByInsertionDate
            • Creates a list of evidence from a list of episodes
            • Check if orderByInsertionDate is valid
            • Update a specific podcast
            • Get the short description
            • Returns a list of recent episodes from the given date
            • Create a new podcast
            • Filter the response
            • Adds a new evidence to the experiment
            • Retrieves a list of registered Podcast entities
            • Update the podcast
            • Delete a podcast
            • Retrieve the podcast with the given id
            • Retrieves a podcast from the database
            • Returns the Podcast with the given id
            • Retrieve detailed information for a specific episode
            • Returns the evidence for the given feed
            • Look up a podcast by id
            • Retrieves a list of episodes
            • Adds CORS headers to the response
            • Adds gzip to the output stream
            • Updates the details of a podcast
            Get all kandi verified functions for this library.

            demo-rest-jersey-spring Key Features

            No Key Features are available at this moment for demo-rest-jersey-spring.

            demo-rest-jersey-spring Examples and Code Snippets

            No Code Snippets are available at this moment for demo-rest-jersey-spring.

            Community Discussions

            QUESTION

            Exclude Logs from Datadog Ingestion
            Asked 2022-Mar-19 at 22:38

            I have a kubernetes cluster that's running datadog and some microservices. Each microservice makes healthchecks every 5 seconds to make sure the service is up and running. I want to exclude these healthcheck logs from being ingested into Datadog.

            I think I need to use log_processing_rules and I've tried that but the healthcheck logs are still making it into the logs section of Datadog. My current Deployment looks like this:

            ...

            ANSWER

            Answered 2022-Jan-12 at 20:28

            I think the problem is that you're defining multiple patterns; the docs state, If you want to match one or more patterns you must define them in a single expression.

            Try somtething like this and see what happens:

            Source https://stackoverflow.com/questions/70687054

            QUESTION

            Custom Serilog sink with injection?
            Asked 2022-Mar-08 at 10:41

            I have create a simple Serilog sink project that looks like this :

            ...

            ANSWER

            Answered 2022-Feb-23 at 18:28

            If you refer to the Provided Sinks list and examine the source code for some of them, you'll notice that the pattern is usually:

            1. Construct the sink configuration (usually taking values from IConfiguration, inline or a combination of both)
            2. Pass the configuration to the sink registration.

            Then the sink implementation instantiates the required services to push logs to.

            An alternate approach I could suggest is registering Serilog without any arguments (UseSerilog()) and then configure the static Serilog.Log class using the built IServiceProvider:

            Source https://stackoverflow.com/questions/71145751

            QUESTION

            How to manage Google Cloud credentials for local development
            Asked 2022-Feb-14 at 23:35

            I searched a lot how to authenticate/authorize Google's client libraries and it seems no one agrees how to do it.

            Some people states that I should create a service account, create a key out from it and give that key to each developer that wants to act as this service account. I hate this solution because it leaks the identity of the service account to multiple person.

            Others mentioned that you simply log in with the Cloud SDK and ADC (Application Default Credentials) by doing:

            ...

            ANSWER

            Answered 2021-Oct-02 at 14:00

            You can use a new gcloud feature and impersonate your local credential like that:

            Source https://stackoverflow.com/questions/69412702

            QUESTION

            using webclient to call the grapql mutation API in spring boot
            Asked 2022-Jan-24 at 12:18

            I am stuck while calling the graphQL mutation API in spring boot. Let me explain my scenario, I have two microservice one is the AuditConsumeService which consume the message from the activeMQ, and the other is GraphQL layer which simply takes the data from the consume service and put it inside the database. Everything well when i try to push data using graphql playground or postman. How do I push data from AuditConsumeService. In the AuditConsumeService I am trying to send mutation API as a string. the method which is responsible to send that to graphQL layer is

            ...

            ANSWER

            Answered 2022-Jan-23 at 21:40

            You have to send the query and body as variables in post request like shown here

            Source https://stackoverflow.com/questions/70823774

            QUESTION

            Jdeps Module java.annotation not found
            Asked 2022-Jan-20 at 22:48

            I'm trying to create a minimal jre for Spring Boot microservices using jdeps and jlink, but I'm getting the following error when I get to the using jdeps part

            ...

            ANSWER

            Answered 2021-Dec-28 at 14:39

            I have been struggling with a similar issue In my gradle spring boot project I am using the output of the following for adding modules in jlink in my dockerfile with (openjdk:17-alpine):

            Source https://stackoverflow.com/questions/70105271

            QUESTION

            How to make a Spring Boot application quit on tomcat failure
            Asked 2022-Jan-15 at 09:55

            We have a bunch of microservices based on Spring Boot 2.5.4 also including spring-kafka:2.7.6 and spring-boot-actuator:2.5.4. All the services use Tomcat as servlet container and graceful shutdown enabled. These microservices are containerized using docker.
            Due to a misconfiguration, yesterday we faced a problem on one of these containers because it took a port already bound from another one.
            Log states:

            ...

            ANSWER

            Answered 2021-Dec-17 at 08:38

            Since you have everything containerized, it's way simpler.

            Just set up a small healthcheck endpoint with Spring Web which serves to see if the server is still running, something like:

            Source https://stackoverflow.com/questions/70378200

            QUESTION

            Deadlock on insert/select
            Asked 2021-Dec-26 at 12:54

            Ok, I'm totally lost on deadlock issue. I just don't know how to solve this.

            I have these three tables (I have removed not important columns):

            ...

            ANSWER

            Answered 2021-Dec-26 at 12:54

            You are better off avoiding serializable isolation level. The way the serializable guarantee is provided is often deadlock prone.

            If you can't alter your stored procs to use more targeted locking hints that guarantee the results you require at a lesser isolation level then you can prevent this particular deadlock scenario shown by ensuring that all locks are taken out on ServiceChange first before any are taken out on ServiceChangeParameter.

            One way of doing this would be to introduce a table variable in spGetManageServicesRequest and materialize the results of

            Source https://stackoverflow.com/questions/70377745

            QUESTION

            Rewrite host and port for outgoing request of a pod in an Istio Mesh
            Asked 2021-Nov-17 at 09:30

            I have to get the existing microservices run. They are given as docker images. They talk to each other by configured hostnames and ports. I started to use Istio to view and configure the outgoing calls of each microservice. Now I am at the point that I need to rewrite / redirect the host and the port of a request that goes out of one container. How can I do that with Istio?

            I will try to give a minimum example. There are two services, service-a and service-b.

            ...

            ANSWER

            Answered 2021-Nov-16 at 10:56

            There are two solutions which can be used depending on necessity of using istio features.

            If no istio features are planned to use, it can be solved using native kubernetes. In turn, if some istio feature are intended to use, it can be solved using istio virtual service. Below are two options:

            1. Native kubernetes

            Service-x should be pointed to the backend of service-b deployment. Below is selector which points to deployment: service-b:

            Source https://stackoverflow.com/questions/69901156

            QUESTION

            Checking list of conditions on API data
            Asked 2021-Aug-31 at 00:23

            I am using an API which is sending some data about products, every 1 second. on the other hand I have a list of user-created conditions. And I want to check if any data that comes, matches any of the conditions. and if so, I want to notify the user.

            for example , user condition maybe like this : price < 30000 and productName = 'chairNumber2'

            and the data would be something like this : {'data':[{'name':'chair1','price':'20000','color':blue},{'name':'chairNumber2','price':'45500','color':green},{'name':'chairNumber2','price':'27000','color':blue}]

            I am using microservice architecture, and on validating condition I am sending a message on RabbitMQ to my notification service

            I have tried the naïve solution (every 1 second, check every condition , and if any data meets the condition then pass on data my other service) but this takes so much RAM and time(time order is in n*m,n being the count of conditions, and m is the count of data), so I am looking for a better scenario

            ...

            ANSWER

            Answered 2021-Aug-31 at 00:23

            It's an interesting problem. I have to confess I don't really know how I would do it - it depends a lot on exactly how fast the processing needs to occur, and a lot of other factors not mentioned - such as what constraints to do you have in terms of the technology stack you have, is it on-premise or in the cloud, must the solution be coded by you/your team or can you buy some $$ tool. For future reference, for architecture questions especially, any context you can provide is really helpful - e.g. constraints.

            I did think of Pub-Sub, which may offer patterns you can use, but you really just need a simple implementation that will work within your code base, AND very importantly you only have one consuming client, the RabbitMQ queue - it's not like you have X number of random clients wanting the data. So an off-the-shelf Pub-Sub solution might not be a good fit.

            Assuming you want a "home-grown" solution, this is what has come to mind so far:

            ("flow" connectors show data flow, which could be interpreted as a 'push'; where as the other lines are UML "dependency" lines; e.g. the match engine depends on data held in the batch, but it's agnostic as to how that happens).

            • The external data source is where the data is coming from. I had not made any assumptions about how that works or what control you have over it.
            • Interface, all this does is take the raw data and put it into batches that can be processed later by the Match Engine. How the interface works depends on how you want to balance (a) the data coming in, and (b) what you know the match engine expects.
            • Batches are thrown into a batch queue. It's job is to ensure that no data is lost before its processed, that processing can be managed (order of batch processing, resilience, etc).
            • Match engine, works fast on the assumption that the size of each batch is a manageable number of records/changes. It's job is to take changes and ask who's interested in them, and return the results to the RabbitMQ. So its inputs are just the batches and the user & user matching rules (more on that later). How this actually works I'm not sure, worst case it iterates through each rule seeing who has a match - what you're doing now, but...

            Key point: the queue would also allow you to scale-out the number of match engine instances - but, I don't know what affect that has downstream on the RabbitMQ and it's downstream consumers (the order in which the updates would arrive, etc).

            What's not shown: caching. The match engine needs to know what the matching rules are, and which users those rules relate to. The fastest way to do that look-up is probably in memory, not a database read (unless you can be smart about how that happens), which brings me to this addition:

            • Data Source is wherever the user data, and user matching rules, are kept. I have assumed they are external to "Your Solution" but it doesn't matter.
            • Cache is something that holds the user matches (rules) & user data. It's sole job is to hold these in a way that is optimized for the Match Engine to work fast. You could logically say it was part of the match engine, or separate. How you approach this might be determined by whether or not you intend to scale-out the match engine.
            • Data Provider is simply the component whose job it is to fetch user & rule data and make it available for caching.

            So, the Rule engine, cache and data provider could all be separate components, or logically parts of the one component / microservice.

            Source https://stackoverflow.com/questions/68970178

            QUESTION

            Traefik v2 reverse proxy without Docker
            Asked 2021-Jul-14 at 10:26

            I have a dead simple Golang microservice (no Docker, just simple binary file) which returns simple message on GET-request.

            ...

            ANSWER

            Answered 2021-Jul-14 at 10:26

            I've managed to find the answer.

            1. I'm not that smart if I've decided that Traefik would take /proxy and simply redicrect all request to /api/*. The official docs (https://doc.traefik.io/traefik/routing/routers/) says that (I'm quoting):

            Use Path if your service listens on the exact path only. For instance, Path: /products would match /products but not /products/shoes.

            Use a Prefix matcher if your service listens on a particular base path but also serves requests on sub-paths. For instance, PathPrefix: /products would match /products but also /products/shoes and /products/shirts. Since the path is forwarded as-is, your service is expected to listen on /products.

            1. I did not use any middleware for replacing substring of path

            Now answer as example.

            First at all: code for microservice in main.go file

            Source https://stackoverflow.com/questions/68111670

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

            Vulnerabilities

            No vulnerabilities reported

            Install demo-rest-jersey-spring

            Note: you could run a similar configuration from Eclipse if you have the m2e plugin installed - see pic below. Note: after you mvn install the application, you can deploy the generated .war file in any web container like Tomcat for example.
            download/clone the project
            prepare the database
            import in MySQL the self-contained file that comes with the project - demo-rest-jersey-spring / src / main / resources / input_data / DumpRESTdemoDB.sql
            username/password - rest_demo/rest_demo
            change to the root folder of the project and excute the following maven command
            mvn clean install jetty:run -Djetty.port=8888 -DskipTests=true
            now the REST api is up and running with Jetty on localhost:8888

            Support

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