English | 中文简介

🦉owlcache is a lightweight, high-performance, non-centralized, distributed Key/Value memory-cached data sharing application written by Go (used as a lightweight database in certain scenarios).

• 💡Cross-platform operation
• 🚀Single node ultra high performance
• ⛓Non-centralized, distributed
• 🌈Data concurrency security
• 🔍Support data expiration
• 🖥Key/Value Data storage
• 🎨Easy to use, only a few operating commands
• ⚔️Authentication
• 📝Logging
• 🔭Support both TCP and HTTP/HTTPS connections

• 📝中文简体
• 📝English

• Don't like Memcache, Redis (cache usage) cluster mode
• Increase the cache access mode
• Easily build efficient data sharing clusters

owl🦉 is clever and cute. Their heads range from 270°🦉.

Compilation environment requirements

• golang >= 1.9

Source download

• Go command download (will automatically download the dependent library, if you directly download the source code will prompt the class library is missing)

go get -u github.com/xssed/owlcache

Open the owlcache home directory to execute the compile command

go build

• Note that the owlcache.conf file should be in the same directory as the main program
• Set the option in the configuration file owlcache.conf.

Linux

./owlcache

Windows (DOS)

• Note: In the Windows production environment deployment, it is found that the memory release will be relatively slow after the query request processing, and will be released within about half an hour. Linux does not have this problem, which is related to Go's internal mechanism.

owlcache

Parameter help

• You can check out the help before running.
• Note that the runtime configuration parameters take precedence over the configuration parameters in the *.conf file.

owlcache -help

Welcome to use owlcache. Version:XXX
If you have any questions,Please contact us: [email protected]
Project Home:https://github.com/xssed/owlcache
                _                _
   _____      _| | ___ __ _  ___| |__   ___
  / _ \ \ /\ / / |/ __/ _' |/ __| '_ \ / _ \
 | (_) \ V  V /| | (_| (_| | (__| | | |  __/
  \___/ \_/\_/ |_|\___\__,_|\___|_| |_|\___|

Usage of owlcache:
  -config string
        owlcache config file path.[demo:/var/home/owl.conf] (default "owlcache.conf")
  -host string
        binding local host ip address. (default "0.0.0.0")
  -log string
        owlcache log file path.[demo:/var/log/] (default "./log_file/")
  -pass string
        owlcache Http connection password. (default "")

Example with configuration parameter run

owlcache -config /var/home/owl.conf -host 127.0.0.1 -log /var/log/ -pass 1245!df2A

• TCP command: get <key>

get hello

• HTTP Note: HTTP access data is not verified by password, only other operations that change data require authentication.

http://127.0.0.1:7721/data/?cmd=get&key=hello

Response result example:

{
    "Cmd": "get",
    "Status": 200,
    "Results": "SUCCESS",
    "Key": "hello",
    "Data": "world",
    "ResponseHost": "127.0.0.1:7721",
    "KeyCreateTime": "2019-04-24T18:05:10.9132377+08:00"
}

• Suppose there are now three owlcache services: 127.0.0.1: 7721, 127.0.0.1:7723, 127.0.0.1:7725. Each service has a data called Key called hello.

http://127.0.0.1:7721/group_data/?cmd=get&key=hello

Response result example:

{
    "Cmd": "get",
    "Status": 200,
    "Results": "SUCCESS",
    "Key": "hello",
    "Data": [
        {
            "Address": "127.0.0.1:7723",
            "Data": "world7723",
            "KeyCreateTime": "2019-04-10T13:43:01.6576413+08:00",
            "Status": 200
        },
        {
            "Address": "127.0.0.1:7721",
            "Data": "world7721",
            "KeyCreateTime": "2019-04-09T17:50:59.458104+08:00",
            "Status": 200
        },
        {
            "Address": "127.0.0.1:7725",
            "Data": "world7725",
            "KeyCreateTime": "2019-04-08T14:32:20.6934487+08:00",
            "Status": 200
        }
    ],
    "ResponseHost": "127.0.0.1:7721",
    "KeyCreateTime": "0001-01-01T00:00:00Z"
}

Each node data is independent. The data of the duplicate key in the cluster will not be deleted (the default cluster mode of owlcache). When querying, it will get a list of data sorted according to time, and the latest data will be displayed first.

• Email📪:[email protected]
• Homepage🛀:https://www.xsser.cc