micro-service | sample micro-service in C++ | Microservice library

by ivanmejiarocha C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | micro-service Summary

micro-service is a C++ library typically used in Architecture, Microservice, Spring applications. micro-service has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

sample micro-service in C++

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Quality

Security

License

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Support

micro-service has a low active ecosystem.

It has 248 star(s) with 116 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 9 have been closed. On average issues are closed in 69 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of micro-service is current.

Quality

micro-service has no bugs reported.

Security

micro-service has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

micro-service is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

micro-service releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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micro-service Key Features

No Key Features are available at this moment for micro-service.

micro-service Examples and Code Snippets

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Community Discussions

Trending Discussions on micro-service

Jackson can't deserialize date set from Golang Api

Why ActiveMQ Artemis auto delete address if all listeners are destroyed?

Godog Undefined Steps when Steps are present

Spring Reactive in Microservices using rest calls

blocked:mixed-content error after spring boot upgrade

Excessive claiming of tracking token

When to NOT use a message broker such as RabbitMQ in a micro-services architecture?

Azure Terraform APIM azurerm_api_management_api_policy for adding to specific api

Is it possible to create custom fields in a Kibana dashboard?

Spring boot consume 2 rest and merge some fields

QUESTION

Jackson can't deserialize date set from Golang Api

Asked 2021-Jun-11 at 19:00

I'm working on a Golang Micro-service which uses Java based Cucumber tests for BDDs.

There is a date variable inside the schema and it is defined as:

...

ANSWER

Answered 2021-Jun-11 at 11:49

The Go code you provided will not impact the way how the Time instance will be serialized as you are parsing it back into Time after serializing it to a string.

If you have control over how your date fields are serialized, you can apply the following format that should be aligned with what you provided to Jackson's ObjectMapper:

Source https://stackoverflow.com/questions/67931707

QUESTION

Why ActiveMQ Artemis auto delete address if all listeners are destroyed?

Asked 2021-Jun-02 at 16:28

We are develop a micro-service system that use ActiveMQ Artemis as the communication method between service. Since the requirement ask to be able to stop the listeners at runtime, we can not use @JmsListener provide by spring-artemis. After digging the internet and finding out that spring use MessageListenerContainer behind the scence, we come up with the idea of maintain a list of MessageListenerContainer our self.

...

ANSWER

Answered 2021-Jun-01 at 20:15

By default the broker will auto-create addresses and queues as required when a message is sent or a consumer is created by the core JMS client. These resources will also be auto-deleted by default when they're no longer needed (i.e. when a queue has no consumers and messages or when an address no longer has any queues bound to it). This is controlled by these settings in broker.xml which are discussed in the documentation:

auto-create-queues
auto-delete-queues
auto-create-addresses
auto-delete-addresses

To be clear, auto-deletion should not cause any message loss by default as queues should only be deleted when they have 0 consumers and 0 messages. However, you can always set auto-deletion to false to be 100% safe.

Queues representing durable JMS topic subscriptions won't be deleted as they are meant to stay and gather messages while the consumer is offline. In other words, a durable topic subscription will remain if the client using the subscription is shutdown without first explicitly removing the subscription. That's the whole point of durable subscriptions - they are durable. Any client can use a durable topic subscription if it connects with the same client ID and uses the same subscription name. However, unless the durable subscription is a "shared" durable subscription then only one client at a time can be connected to it. Shared durable topic subscriptions were added in JMS 2.0.

Source https://stackoverflow.com/questions/67793305

QUESTION

Godog Undefined Steps when Steps are present

Asked 2021-May-25 at 07:43

I've been implementing feature file tests for a microservice in Golang using Godog.

There are 54 steps in my feature file and I generated the step definitions for all of them.

When I run the test using go test command, the first 22 scenarios pass and the 23 is declared as Undefined even though its definition is present.

My Console output after any test:

...

ANSWER

Answered 2021-May-25 at 06:51

It turns out Godog doesn't trim the Steps from the feature files.

So, In my feature files, the steps for the above lines included:

When reading resource of id "ID1"_____(blank space)

The regex pattern therefore wasn't able to map the step definitions to these lines for some reason.

As soon as I removed the empty spaces, it worked great.

Source https://stackoverflow.com/questions/67682657

QUESTION

Spring Reactive in Microservices using rest calls

Asked 2021-May-24 at 07:34

I work on a micro-service project using spring boot web flux and here are some services:

baseInfoService
notificationService
accountService
orderService
performService

I'm implementing a service in OrderService which would has this flow:

...

ANSWER

Answered 2021-May-23 at 12:49

First, if you use reactor you shouldnt call blocking apis, as you did it in the save method. When you use webflux, you have a small number of threads and if you block those threads your application performance will be very poor. I suggest using reactive database driver instead.

1, You shouldnt use plane object in the controller, because you have to block the thread to get the object itself. In reactor, you mustnt call blocking operation. Also suggest to use blockhound if you are not sure about what is blocking. It will throw an exception during tests if blocking methods are called.

2, In reactive stream, you have to use the reactive operations, like map, flatmap, etc.. to do operations on your objects.

For example, suppose you want to go through a list of objects, load some data from web to each and save those into the database (note that here I'm going to use mock db and webservice, but you can change those into real services and the essence of the example is the processor. Also I use Kotlin here, which is similar to Java)

Source https://stackoverflow.com/questions/67657710

QUESTION

blocked:mixed-content error after spring boot upgrade

Asked 2021-Apr-21 at 07:11

I have upgraded some micro services that talk to each other from Spring Boot 1.5.3 to 2.3.5. Now when my micro service A calls micro service B, the call fails with the following status on the network tab of chrome's developer tools (blocked:mixed-content)

I am not sure what has changed that I start getting this error.

In browser's console I get the below error:

...

ANSWER

Answered 2021-Apr-21 at 07:11

Understood the issue and found the solution.

Looks like the security hooks used in SpringBoot 1 are deprecated in SpringBoot 2. So in my micro-service B the below config in properties file wasn't working after upgrade

Source https://stackoverflow.com/questions/67166854

QUESTION

Excessive claiming of tracking token

Asked 2021-Apr-15 at 19:54

We have noticed excessive logging from the TrackingEventProcessor class when scaling up the micro-service to 2 replicas:

Our Axon setup:

axon version 3.4.3
spring-boot version 2.1.6.RELEASE
an in-house couchbase implementation as the TokenStore, i.e. CouchBaseTokenStore
PostgreSQL v11.7 as event store
Segment count for each tracking event processor = 1
Tracking Event Processors are configured forSingleThreadedProcessing

We are seeing the following messages a lot:

...

ANSWER

Answered 2021-Apr-15 at 19:54

I managed to fix the problem with the help of Allard (see comments on question). The fix was to also persist the token after it has been claimed in the fetch() method. We also started making use of the replace() method supplied by the Couchbase SDK instead of the upsert() method, to better harness the CAS (Compare-and-Swap) optimistic concurency:

Source https://stackoverflow.com/questions/67003360

QUESTION

When to NOT use a message broker such as RabbitMQ in a micro-services architecture?

Asked 2021-Apr-09 at 12:19

I am new to the concept of messaging brokers such as RabbitMQ and wanted to learn some best practices.

RabbitMQ seems to be a great way to facilitate asynchronous communication between micro-services, however, I have a beginners question that I could not find an answer to anywhere else.

When would one NOT use a message broker such as RabbitMQ in a micro-services architecture?

As an example:

Let's say I have two services. Service A and Service B (auth service)

The client makes a request to service A which in turn must communicate with service B (auth service) to authenticate the user and authorize the request. (using Basic Auth)

...

ANSWER

Answered 2021-Apr-09 at 12:19

Well actually what you are describing is mostly close to the HTTP.

HTTP is synchronous which means that you have to wait for a response. The solution to this issue is AMQP as you mention. With AMQP you don't necessarily need to wait(you can configure it).

Its not necessarily a bad idea but what most microservices depend on is something called eventual consistency. As this will be a quite long answer with a lot of ifs I would suggest taking a look into Microservices Architecture

For example here is the part about the http vs amqp since its mostly a question about sychronous vs asychronous communication It goes into great detail about different approaches of microservices design listing pros and cons for your specific question and others.

For example in your case the Auth would happen at the API gateway as its not considered best practice to leave the microservices open for all the client applications.

Source https://stackoverflow.com/questions/67020936

QUESTION

Azure Terraform APIM azurerm_api_management_api_policy for adding to specific api

Asked 2021-Apr-05 at 21:51

data "azurerm_api_management_api" "example" {
  api_name            = "my-api"
  api_management_name = "example-apim"
  resource_group_name = "search-service"
}

resource "azurerm_api_management_api_policy" "example" {
  api_name            = data.azurerm_api_management_api.example.name
  api_management_name = data.azurerm_api_management_api.example.api_management_name
  resource_group_name = data.azurerm_api_management_api.example.resource_group_name

  xml_content = <
  
    
  

XML
}

...

ANSWER

Answered 2021-Apr-05 at 18:53

Found a way, there is something called azurerm_api_management_api_operation_policy

https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/api_management_api_operation_policy

operation id is something you can get it from api-spec file, which uniquely identifies individual apis

Source https://stackoverflow.com/questions/66956662

QUESTION

Is it possible to create custom fields in a Kibana dashboard?

Asked 2021-Mar-31 at 04:40

I am using a Java micro-service architecture in my application and generating separate log files for each micro-service.

I am using ELK stack approach to visualize the logs in Kibana, but the problem is whatever the fields that I'm getting from Elastic Search that are related to server logs fields. some example fields are @timestamp,@version,@path,@version.keyword,@host.

i want to customize this fields by adding some fields like customerId,txn-Id,mobile no so that we can analyze the data easily.

I'm using org.apache.logging.log4j2 to write the logs. Can I set above fields (customerId,txn-Id,mobile) to log files? And then Elastic will store these fields with the above default fields and then these custom fields should available in a Kibana dashboard. Is this possible?

...

ANSWER

Answered 2021-Mar-30 at 09:27

It's definitely possible to do that. I've not done it with the log4j2 stack (I have with slf4j/logback), but the basic approach is:

set those fields in the Mapped Diagnostic Context (I'm fairly sure log4j2 supports that)
use a log appender which logs to logstash-structured JSON
configure filebeat to ship the JSON logs
if filebeat is shipping to logstash, you'll need to configure logstash to pass those preformatted JSON logs directly to elasticsearch

Source https://stackoverflow.com/questions/66856244

QUESTION

Spring boot consume 2 rest and merge some fields

Asked 2021-Mar-30 at 14:03

Im new to Spring Boot and got a problem were i need to consume 2 remote Rest services and merge the results. Would need some insight on the right approach. I got something like this:

...

ANSWER

Answered 2021-Mar-30 at 08:50

I assume the following from the information you provide:

You have two Datatypes (Java classes). They should be merged together to one Java class
You have to load this data from different sources
Non of the classes are leading

I can provide you some example code. The code is based on the previos adoptions. This will give you an idea. It's not a simple copy and paste solution.

At first create a class with all fields you want to include in the result:

Source https://stackoverflow.com/questions/66853134

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

Vulnerabilities

No vulnerabilities reported

Install micro-service

Install git, CMake, boost, openssl on your system, if you are using macOS this can be acomplished easily with the following command:.
Install git, CMake, boost, openssl on your system, if you are using macOS this can be acomplished easily with the following command: $ brew install cmake git openssl boost zlib
Clone the repository.
Execute the below command: $ export OPENSSL_ROOT_DIR=/usr/local/opt/openssl
Go to the directory micro-service/libs and execute the script: ./build_dependencies.sh that'll clone the C++ REST SDK repository and will build the static version of the library, if you want to build the dynamic link version of the library just on the build_dependencies.sh script remove the flag: -DBUILD_SHARED_LIBS=OFF.
Go to the directory micro-service and type the following commands: $ mkdir build $ cd build $ cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Debug ..
Finally type the command: $ make -j 8
On ./build directory type and you should see the following output: $ ./micro-service $ Modern C++ Microservice now listening for requests at: http://<your computer's IP>:6502/v1/ivmero/api
To perform a benchmark on the Modern C++ Microservice I had included two lua scritps which can be executed using WRK2 HTTP Benckmark Tool, using the following command: $ ./wrk -c100 -t8 -d60s -s benchmark_microsvc.lua http://192.168.100.6:6502 --latency --rate 2000 and see results similar to these: Running 1m test @ http://192.168.100.16:6502 8 threads and 100 connections Thread calibration: mean lat.: 1.524ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.536ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.485ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.505ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.490ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.496ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.486ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.508ms, rate sampling interval: 10ms Thread Stats Avg Stdev Max +/- Stdev Latency 1.51ms 0.85ms 25.66ms 86.53% Req/Sec 263.60 98.75 1.00k 78.74% Latency Distribution (HdrHistogram - Recorded Latency) 50.000% 1.45ms 75.000% 1.85ms 90.000% 2.23ms 99.000% 3.07ms 99.900% 14.38ms 99.990% 23.30ms 99.999% 25.50ms 100.000% 25.68ms Detailed Percentile spectrum: Value Percentile TotalCount 1/(1-Percentile) 0.197 0.000000 1 1.00 0.758 0.100000 10021 1.11 0.975 0.200000 20018 1.25 1.153 0.300000 30007 1.43 1.309 0.400000 40011 1.67 1.453 0.500000 49964 2.00 1.526 0.550000 54957 2.22 1.601 0.600000 59976 2.50 1.677 0.650000 64919 2.86 1.760 0.700000 69927 3.33 1.850 0.750000 74946 4.00 1.898 0.775000 77400 4.44 1.950 0.800000 79900 5.00 2.007 0.825000 82423 5.71 2.071 0.850000 84903 6.67 2.147 0.875000 87415 8.00 2.191 0.887500 88683 8.89 2.235 0.900000 89922 10.00 2.285 0.912500 91143 11.43 2.341 0.925000 92421 13.33 2.405 0.937500 93643 16.00 2.443 0.943750 94257 17.78 2.485 0.950000 94884 20.00 2.533 0.956250 95498 22.86 2.591 0.962500 96139 26.67 2.661 0.968750 96766 32.00 2.699 0.971875 97060 35.56 2.743 0.975000 97384 40.00 2.787 0.978125 97689 45.71 2.841 0.981250 97995 53.33 2.909 0.984375 98310 64.00 2.941 0.985938 98466 71.11 2.977 0.987500 98619 80.00 3.027 0.989062 98776 91.43 3.091 0.990625 98931 106.67 3.165 0.992188 99090 128.00 3.207 0.992969 99166 142.22 3.263 0.993750 99245 160.00 3.317 0.994531 99321 182.86 3.405 0.995313 99399 213.33 3.485 0.996094 99477 256.00 3.537 0.996484 99519 284.44 3.623 0.996875 99557 320.00 3.767 0.997266 99594 365.71 4.111 0.997656 99633 426.67 6.319 0.998047 99672 512.00 8.943 0.998242 99692 568.89 10.247 0.998437 99711 640.00 11.415 0.998633 99731 731.43 12.871 0.998828 99750 853.33 14.503 0.999023 99770 1024.00 15.215 0.999121 99780 1137.78 15.759 0.999219 99789 1280.00 16.215 0.999316 99799 1462.86 16.911 0.999414 99809 1706.67 18.751 0.999512 99819 2048.00 19.279 0.999561 99825 2275.56 19.743 0.999609 99828 2560.00 20.383 0.999658 99834 2925.71 21.263 0.999707 99838 3413.33 21.375 0.999756 99843 4096.00 21.615 0.999780 99846 4551.11 21.647 0.999805 99848 5120.00 21.839 0.999829 99850 5851.43 22.303 0.999854 99853 6826.67 22.799 0.999878 99855 8192.00 23.295 0.999890 99857 9102.22 23.567 0.999902 99858 10240.00 23.631 0.999915 99859 11702.86 23.823 0.999927 99860 13653.33 24.415 0.999939 99861 16384.00 24.895 0.999945 99862 18204.44 25.135 0.999951 99863 20480.00 25.135 0.999957 99863 23405.71 25.183 0.999963 99864 27306.67 25.183 0.999969 99864 32768.00 25.391 0.999973 99865 36408.89 25.391 0.999976 99865 40960.00 25.391 0.999979 99865 46811.43 25.503 0.999982 99866 54613.33 25.503 0.999985 99866 65536.00 25.503 0.999986 99866 72817.78 25.503 0.999988 99866 81920.00 25.503 0.999989 99866 93622.86 25.679 0.999991 99867 109226.67 25.679 1.000000 99867 inf #[Mean = 1.510, StdDeviation = 0.851] #[Max = 25.664, Total count = 99867] #[Buckets = 27, SubBuckets = 2048] ---------------------------------------------------------- 119986 requests in 1.00m, 12.36MB read Requests/sec: 1999.74 Transfer/sec: 210.91KB

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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