Mall-Server | 基于SSH的商城API服务器

 by   PowerDos Java Version: Current License: MIT

kandi X-RAY | Mall-Server Summary

kandi X-RAY | Mall-Server Summary

Mall-Server is a Java library. Mall-Server has build file available, it has a Permissive License and it has low support. However Mall-Server has 11 bugs and it has 1 vulnerabilities. You can download it from GitHub.

基于SSH的商城API服务器
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            kandi-support Support

              Mall-Server has a low active ecosystem.
              It has 44 star(s) with 44 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 7 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Mall-Server is current.

            kandi-Quality Quality

              Mall-Server has 11 bugs (0 blocker, 0 critical, 9 major, 2 minor) and 204 code smells.

            kandi-Security Security

              Mall-Server has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Mall-Server code analysis shows 1 unresolved vulnerabilities (0 blocker, 1 critical, 0 major, 0 minor).
              There are 1 security hotspots that need review.

            kandi-License License

              Mall-Server 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

              Mall-Server 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 not available. Examples and code snippets are available.
              Mall-Server saves you 1979 person hours of effort in developing the same functionality from scratch.
              It has 4354 lines of code, 623 functions and 93 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Mall-Server and discovered the below as its top functions. This is intended to give you an instant insight into Mall-Server implemented functionality, and help decide if they suit your requirements.
            • Method to get the list of Goods
            • Retrieves the list of Goods with pagination
            • Create user
            • Validate token
            • Add second process
            • Add order to cart
            • Delete merchant
            • Intercept user request
            • Add admin group
            • Add admin user
            • Add Goods
            • Add home extend
            • Returns the count of GoodsId with comment level
            • Returns the count of GoodsCat in the given category
            • Add the related comment
            • Returns the count of items for a given merchantId
            • Returns the list of Goods comments
            • Download upload file
            • Intercept the action
            • Update Goods
            • Login
            • Add merchant
            Get all kandi verified functions for this library.

            Mall-Server Key Features

            No Key Features are available at this moment for Mall-Server.

            Mall-Server Examples and Code Snippets

            No Code Snippets are available at this moment for Mall-Server.

            Community Discussions

            QUESTION

            optimise server operations with elasticsearch : addressing low disk watermarks
            Asked 2020-May-14 at 17:03

            EDITED - Based on comments of @opster elasticsearch ninja, I edited original question to keep it focused on low disk watermarks error for ES.

            For more general server optimization on small machine, see: Debugging Elasticsearch and tuning on small server, single node

            For original follow up on the original question and considerations related to debugging ES failures, also: https://chat.stackoverflow.com/rooms/213776/discussion-between-opster-elasticsearch-ninja-and-user305883

            Problem : I noticed that elasticsearch is failing frequently, and need to restart the server manually.

            This question may relate to: High disk watermark exceeded even when there is not much data in my index

            I want to have a better understanding about what elasticsearch will do if the disk size fails, how to optimise configuration and only afterwards eventually restart automatically when system fails.

            Could you help in understanding how to read the elasticsearch journal and make a choice to fix the problems accordingly, suggesting best practices to tune server ops on a small server machine ?

            My priority is not to have system crash; it is ok to have a bit less performance, no budget to increase server size.

            Hardware

            I am running elasticsearch on a single small server (2GB), have 3 index (500mb, 20mb and 65mb of store size) and several GB free on disk (state solid) : I would like to allow use virtual memory VS consuming RAM.

            Below what I did:

            What does the journal say?

            journalctl | grep elasticsearch> explore failures related to ES.

            ...

            ANSWER

            Answered 2020-May-14 at 17:03

            Please read the detailed explanation of opster's guide on what is low disk watermark and how to temp and permamnent fix it.

            Explanation of your question:

            Shards will be relocated away from this node" if I only have one server and one instance working?

            Elasticsearch considers the available disk space before deciding whether to allocate new shards, relocate shards away or put all indices on reading mode based on a different threshold of this error, Reason being Elasticsearch indices consists of different shards which are persisted on data nodes and low disk space can cause the above issues.

            In your case, as you have just one data node, all the indices on the same data node will be put into reading mode and even if you free up space it wouldn't come in writing mode until you explicitly hit the API mentioned in opster's guide.

            Edit: On a single node it would be better to disable replica as Elasticsearch would not allocate replica of a shard to the same data node. So it doesn't make sense to have replicas on a single node Elasticasearch cluster and doing that will unnecessary mark your index and cluster health to yellow(missing replica).

            Source https://stackoverflow.com/questions/61698562

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

            Vulnerabilities

            No vulnerabilities reported

            Install Mall-Server

            You can download it from GitHub.
            You can use Mall-Server 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 Mall-Server 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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            CLONE
          • HTTPS

            https://github.com/PowerDos/Mall-Server.git

          • CLI

            gh repo clone PowerDos/Mall-Server

          • sshUrl

            git@github.com:PowerDos/Mall-Server.git

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