grain | Websocket library

 by   dianbaer Java Version: v1.0 License: MIT

kandi X-RAY | grain Summary

kandi X-RAY | grain Summary

grain is a Java library typically used in Networking, Websocket applications. grain has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However grain has 37 bugs. You can download it from GitHub.

grain是一个极简的、组件式的RPC框架,灵活且适合渐进学习,可与任何框架整合。同时包含(系统通用多线程模型与消息通讯 || 多对多关系的分布式锁 || 基于Servlet的HTTP框架 || 基于系统通用多线程模型的Websocket框架 || 支持行级锁的多线程锁 )等组件,按需选择组件,不绑架开发者。
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    Quality
      Security
        License
          Reuse

            kandi-support Support

              grain has a low active ecosystem.
              It has 583 star(s) with 214 fork(s). There are 56 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              grain has no issues reported. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of grain is v1.0

            kandi-Quality Quality

              grain has 37 bugs (0 blocker, 0 critical, 11 major, 26 minor) and 961 code smells.

            kandi-Security Security

              grain has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              grain code analysis shows 0 unresolved vulnerabilities.
              There are 3 security hotspots that need review.

            kandi-License License

              grain 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

              grain releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              grain saves you 8051 person hours of effort in developing the same functionality from scratch.
              It has 16566 lines of code, 1656 functions and 226 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed grain and discovered the below as its top functions. This is intended to give you an instant insight into grain implemented functionality, and help decide if they suit your requirements.
            • Initialize config manager
            • Read template
            • Read json
            • Filter http
            • Decode response string
            • Read content from http request
            • Initialize HttpConfig
            • Init server
            • Decodes the TCP channel
            • Store remaining data in the session
            • Add http listener
            • Add tcp listener
            • Find documents
            • Send string
            • Init thread manager
            • Unlock
            • Reply file
            • Add IWS listener
            • Convert object to byte array
            • Add new msg listener
            • Handle TCP packet
            • Filter request header
            • Filter http request
            • Main loop
            • Send a file
            • Get lock
            Get all kandi verified functions for this library.

            grain Key Features

            No Key Features are available at this moment for grain.

            grain Examples and Code Snippets

            No Code Snippets are available at this moment for grain.

            Community Discussions

            QUESTION

            Does each `yield` of a synchronous generator unavoidably allocate a fresh `{value, done}` object?
            Asked 2021-Jun-13 at 03:59

            MDN says:

            The yield keyword causes the call to the generator's next() method to return an IteratorResult object with two properties: value and done. The value property is the result of evaluating the yield expression, and done is false, indicating that the generator function has not fully completed.

            I ran a test in Chrome 91.0.4472.77 and it appears to be a fresh object every single time. Which seems very wasteful if the processing is fine grained (high numbers of iterations, each with low computation). To avoid unpredictable throughput and GC jank, this is undesirable.

            To avoid this, I can define an iterator function, where I can control (ensure) the reuse of the {value, done} object by each next() causing the property values to be modified in place, ie. there's no memory allocation for a new {value, done} object.

            Am I missing something, or do generators have this inherent garbage producing nature? Which browsers are smart enough to not allocate a new {value, done} object if all I do is const {value, done} = generatorObject.next(); ie. I can't possibly gain a handle on the object, ie. no reason for the engine to allocate a fresh object?

            ...

            ANSWER

            Answered 2021-Jun-13 at 03:59

            It is a requirement of the ECMAScript specification for generators to allocate a new object for each yield, so all compliant JS engines have to do it.

            It is possible in theory for a JS engine to reuse a generator's result object if it can prove that the program's observable behavior would not change as a result of this optimization, such as when the only use of the generator is in a const {value, done} = generatorObject.next() statement. However, I am not aware of any engines (at least those that are used in popular web browsers) that do this. Optimizations like this are a very hard problem in JavaScript because of its dynamic nature.

            Source https://stackoverflow.com/questions/67953984

            QUESTION

            Store Pricing Combinations and Sums w/ SQL
            Asked 2021-Jun-12 at 18:13

            I have a table that looks something like

            ...

            ANSWER

            Answered 2021-Jun-12 at 18:09

            QUESTION

            Why are the vertical lines in my table different lengths?
            Asked 2021-Jun-11 at 07:54

            I'm working in overleaf, and the vertical lines I've inserted into my table (using tabular) are different lengths. I've attached code and a pic of the output.

            Specifically, I'm wondering why the two lines on either side of the "year" column are longer than all the others and why they extend beyond the top and bottom horizontal lines. I'm also wondering why the vertical lines on either side of the other columns are not continuous (see the gaps under the horizontal line under each crop name and below the double horizontal line at the top of the table). If it's important, this table was generated using stargazer in RStudio. I manually added the vertical lines. Thanks!

            ...

            ANSWER

            Answered 2021-Jun-11 at 07:54
            • the stray lines below and above the table are caused by all these \\[-1.8ex] used even though there is no line to finish

            • the stray lines on the right comes from a mismatch of how many columns there are actually in the table (8) and how many columns you tell latex there would be in the table (9).

            • please reconsider such a table layout. Using vertical lines does not exactly look like a professional done table, see the booktabs package documentation for further inspiration http://mirrors.ctan.org/macros/latex/contrib/booktabs/booktabs.pdf

            • please also have a look at the siunitx package to correctly align and format your numbers. At the very minimum, you shouldn't abuse hyphens as minus signs.

            • If your table is already too wide to fit in the available text area, the last thing you should do is adding extra wide space between the columns

            Your fixed MWE:

            Source https://stackoverflow.com/questions/67926594

            QUESTION

            Proper finalization in Python
            Asked 2021-Jun-07 at 09:06

            I have a bunch of instances, each having a unique tempfile for its use (save data from memory to disk and retrieve them later).

            I want to be sure that at the end of the day, all these files are removed. However, I want to leave a room for a fine-grained control of their deletion. That is, some files may be removed earlier, if needed (e.g. they are too big and not important any more).

            What is the best / recommended way to achieve this?

            May thoughts on that

            • The try-finalize blocks or with statements are not an option, as we have many files, whose lifetime may overlap each other. Also, it hardly admits the option of finer control.

            • From what I have read, __del__ is also not a feasible option, as it is not even guaranteed that it will eventually run (although, it is not entirely clear to me, what are the "risky" cases). Also (if it is still the case), the libraries may not be available when __del__ runs.

            • tempfile library seems promising. However, the file is gone after just closing it, which is definitely a bummer, as I want them to be closed (when they perform no operation) to limit the number of open files.

              • The library promises that the file "will be destroyed as soon as it is closed (including an implicit close when the object is garbage collected)."

                How do they achieve the implicit close? E.g. in C# I would use a (reliable) finalizer, which __del__ is not.

            • atexit library seems to be the best candidate, which can work as a reliable finalizer instead of __del__ to implement safe disposable pattern. The only problem, compared to object finalizers, is that it runs truly at-exit, which is rather inconvenient (what if the object eligible to be garbage-collected earlier?).

              • Here, the question still stands. How the library achieves that the methods always run? (Except in a really unexpected cases with which is hard to do anything)

            In ideal case, it seems that a combination of __del__ and atexit library may perform best. That is, the clean-up is both at __del__ and the method registered in atexit, while repeated clean-up would be forbidden. If __del__ was called, the registered will be removed.

            The only (yet crucial) problem is that __del__ won't run if a method is registered at atexit, because a reference to the object exists forever.

            Thus, any suggestion, advice, useful link and so on is welcomed.

            ...

            ANSWER

            Answered 2021-Jun-07 at 09:06

            I suggest considering weakref built-in module for this task, more specifically weakref.finalize simple example:

            Source https://stackoverflow.com/questions/67868287

            QUESTION

            Logstash throwing 401 while connecting with AWS Elasticservice
            Asked 2021-Jun-03 at 16:51

            I have AWS Elastic service domain setup, I'm trying to push some data from an ec2 instance to the AWS elasticservice via Logstash.

            I have setup the AWS ES domain with Open access policy - Allow all traffic. I have also enabled Fine Grained Control and setup a master user account to access the AWS ES service.

            It all works fine with Kibana or regular cURL calls, but logstash fails with a request sending to https:///_license with a 401 response.

            I'm not able to figure out why is this call happening. When I try to hit this in browser, I get {"Message":"Your request: '/_license' is not allowed."}

            Here is the sample log that I get from logstash:

            ...

            ANSWER

            Answered 2021-Jun-03 at 16:51

            The issue is with Logstash Elasticsearch Output Plugin trying to verify license on the URL /_license.

            Refer LS should always perform ES license check · Issue #1004 · logstash-plugins/logstash-output-elasticsearch for reported issue/fix.

            While that fix gets released, you can follow these steps to get it working:

            • Head over to /usr/share/logstash/vendor/bundle/jruby/2.5.0/gems/logstash-output-elasticsearch-11.0.2-java/lib/logstash/outputs/elasticsearch
            • Open file license_checker.rb-> Change the method appropriate_license as per the fix suggested in the above github issue. Making method appropriate_license() return true in case of OSS setup.

            Source https://stackoverflow.com/questions/67804927

            QUESTION

            TypeError : not all arguments converted during string formatting
            Asked 2021-Jun-01 at 14:21
            print("The mangy, scrawny stray dog %s gobbled down" +
            "the grain-free, organic dog food." %'hurriedly')
            
            ...

            ANSWER

            Answered 2021-Jun-01 at 14:21

            + has lower precedence than %, so with your code, Python tries to evaluate "the grain-free, organic dog food." %'hurriedly', which does not make sense, because that format string does not contain the %s part.

            Remove the + between your string literals:

            Source https://stackoverflow.com/questions/67790531

            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

            Pandas multi-index unstack to single row
            Asked 2021-May-28 at 18:16

            I am pretty good with simple Pandas but am struggling with data reshaping and multi indices. I have a multindex dataframe that looks like so (it doesnt have to be a multindex but it seems the right thing to do)

            name index f1 f2 f3 calc1 calc2 calc3 fox 1 red white fur 0.21 1.67 -0.34 2 0.76 2.20 -1.02 3 0.01 1.12 -0.22 chicken 1 white yellow feathers 0.04 1.18 -2.01 2 0.18 0.73 -1.21 grain 1 yellow bag corn 0.89 1.65 -1.03 2 0.34 2.45 -0.45 3 0.87 1.11 -0.97

            and all I want is:

            name f1 f2 f3 calc1_1 calc2_1 calc3_1 calc1_2 calc2_2 calc3_2 calc1_3 calc2_3 calc3_3 fox red white fur 0.21 1.67 -0.34 0.76 2.20 -1.02 0.01 1.12 -0.22 chicken white yellow feathers 0.04 1.18 -2.01 0.18 0.73 -1.21 NaN NaN NaN grain yellow bag corn 0.89 1.65 -1.03 0.34 2.45 -0.45 0.87 1.11 -0.97

            I figure this has got to be an easy one for the pandas gurus out there. Thanks all for your help!!

            Drew

            ...

            ANSWER

            Answered 2021-May-28 at 18:16

            Try set_index + unstack to reshape to long format

            Source https://stackoverflow.com/questions/67743481

            QUESTION

            R: Aggregating raster to shapefile polygons
            Asked 2021-May-27 at 13:20

            I want to aggregate raster data to each polygon in a custom shapefile.

            In this case, I want to obtain the mean degree of urbanization within subnational regions in Subsaharan Africa.

            My sf looks like this:

            ...

            ANSWER

            Answered 2021-May-27 at 13:20

            Have a look to the extract function

            In your case something like

            Source https://stackoverflow.com/questions/67717866

            QUESTION

            Iterating over dictionary keys in order?
            Asked 2021-May-26 at 06:52

            I am trying to iterate over a dictionary (inside another dictionary specifically, but I don't think that part matters), and I'm unable to get the for loop to iterate over the values in the order that they were placed in. I would like to be able to take the first value of each dictionary. I thought that after python 3.6, dictionaries kept their order (here), but these wont stay in order.

            This is what my dictionary looks like:

            ...

            ANSWER

            Answered 2021-May-26 at 04:51

            Dictionaries (after python 3.6) maintain their insertion order (order in which keys and values are inserted), not the sorted order.

            I did get an answer.

            Source https://stackoverflow.com/questions/67698451

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

            Vulnerabilities

            No vulnerabilities reported

            Install grain

            You can download it from GitHub.
            You can use grain like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the grain component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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