flot

flot chart extend lines to end of chart

自古美人都是妖i — Thu, 11 Feb 2021 09:47:42 +0000

flot chart extend lines to end of chart 自古美人都是妖i 2021-02-11 17:47:42

问题

I have been trying to extend the "LineChart" in the chart to beginning and the end of the canvas. But i am having no luck with it

The options for Flot Charts are .

///initialize default chart options
chartCtx.options = {
    grid: {
        hoverable: true,
        clickable: true,
        tickColor: "#d5d5d5",
        borderWidth: 0,
        color: '#d5d5d5'
    },
    colors: ["#1ab394", "#464f88"],
    tooltip: true,
    xaxis: {
        mode: "time",
        timezone: "browser",
        tickSize: [5, 'minute'],
        tickLength: 0,
        axisLabel: "Minutes",
        axisLabelUseCanvas: true,
        axisLabelFontSizePixels: 12,
        axisLabelFontFamily: 'Arial',
        axisLabelPadding: 10,
        color: "#d5d5d5"
    },
    yaxes: [
        {
            position: "left",
            max: 2370,
            color: "#d5d5d5",
            axisLabelUseCanvas: true,
            axisLabelFontSizePixels: 12,
            axisLabelFontFamily: 'Arial',
            axisLabelPadding: 3
        },
        {
            position: "right",
            color: "#d5d5d5",
            axisLabelUseCanvas: true,
            axisLabelFontSizePixels: 12,
            axisLabelFontFamily: ' Arial',
            axisLabelPadding: 67,
            tickFormatter: function (x) {
                return x;
            }
        }
    ],
    legend: {
        noColumns: 2,
        labelBoxBorderColor: "#d5d5d5",
        position: "sw",
        margin:[0 , -40]
    }
};

//init default chart dataset
chartCtx.dataset = [
    {
        label: chartCtx.Bar.Label,
        data: chartCtx.Bar.Dataset,
        color: "#1ab394",
        bars: {
            show: true,
            align: "center",
            barWidth: 5 * 60 * 600,
            lineWidth:1
        }
    },
    {
        label: chartCtx.Line.Label,
        data: chartCtx.Line.Dataset,
        yaxis: 2,
        color: "#464f88",
        lines: {
            lineWidth: 1,
            show: true,
            fill: true,
            fillColor: {
                colors: [
                    {
                        opacity: 0.2
                    },
                    {
                        opacity: 0.2
                    }
                ]
            }
        },
        points : {
            show : true ,
            radius : 4
        }
    }
];

Dataset for barGraph is

[[1439351830973,464],[1439352130973,574],[1439352430973,177],[1439352730973,784],[1439353030973,902],[1439353330973,2586],[1439353630973,7061],[1439353930973,1091],[1439354230973,2451],[1439354530973,182],[1439354830973,3557]]

Dataset for the lineGraph is

[[1439351830973,936],[1439352130973,619],[1439352430973,1981],[1439352730973,448],[1439353030973,297],[1439353330973,982],[1439353630973,5606],[1439353930973,5865],[1439354230973,1979],[1439354530973,4495],[1439354830973,2305]]

Could you guys point me in the right direction. Thanks..

回答1:

You're mapping the line to the bars with the same x-values.

You could add two more values to the beginning and end of your line graph array, so it extends beyond the canvas.

var buffer = 5 * 60 * 600; // or whatever number to change the timestamp

[[1439351830973-buffer,936] // new array element
[[1439351830973,936],[1439352130973,619],[1439352430973,1981],[1439352730973,448],[1439353030973,297],[1439353330973,982],[1439353630973,5606],[1439353930973,5865],[1439354230973,1979],[1439354530973,4495],[1439354830973,2305]],
[1439354830973+buffer,2305]] // new array element

But then the question is, which values to use for the y-values on these new array items? You could use the same value as the penultimate values so the line graph tails off horizontally.

来源：https://stackoverflow.com/questions/32063222/flot-chart-extend-lines-to-end-of-chart

标签

javascript

jquery

flot

Struts 2 jquery plugin, chart plugin does not support categories

依然范特西╮ — Sun, 24 Jan 2021 00:31:54 +0000

Struts 2 jquery plugin, chart plugin does not support categories 依然范特西╮ 2021-01-24 08:31:54

问题

The chart component in the Struts 2 jQuery plugin version 3.6 seems not supporting the category plugin for the sjc:chart.

I want to use Flot With “String” x-axis for chart and the best solution is to use jquery.flot.categories.js (Described at Flot With "String" x-axis).

As I reviewed some struts-jquery-plugin code, I found that the jquery.chart.struts2.js does not use this plugin, on the other hand the jquery.flot.categories.js file is in the struts2-jquery-chart-plugin-3.7.1.jar file.

Please let me know how can I fix it ?! I think I can extend the used jquery objects ( may be $.struts2_jquery_chart ) and add it but don't know how ?!

回答1:

It's easily fixable, just modify your jquery.chart.struts2.js and add the following code.

if ((o.xaxis && o.xaxis.mode === "categories") || (o.yaxis && o.yaxis.mode === "categories")) {
    self.require("js/flot/jquery.flot.categories" + self.minSuffix + ".js");
}

If you like to know how to use custom theme with Struts2 jQuery plugin, you should read Overriding Struts2 jqGrid CSS.

References:

Struts2 jQuery Plugin 3.4.0 with improved Chart Tag released
ChartTag
Categories

来源：https://stackoverflow.com/questions/36673782/struts-2-jquery-plugin-chart-plugin-does-not-support-categories

标签

Struts 2 jquery plugin, chart plugin does not support categories

孤街浪徒 — Sun, 24 Jan 2021 00:31:09 +0000

Struts 2 jquery plugin, chart plugin does not support categories 孤街浪徒 2021-01-24 08:31:09

问题

The chart component in the Struts 2 jQuery plugin version 3.6 seems not supporting the category plugin for the sjc:chart.

I want to use Flot With “String” x-axis for chart and the best solution is to use jquery.flot.categories.js (Described at Flot With "String" x-axis).

Please let me know how can I fix it ?! I think I can extend the used jquery objects ( may be $.struts2_jquery_chart ) and add it but don't know how ?!

回答1:

It's easily fixable, just modify your jquery.chart.struts2.js and add the following code.

if ((o.xaxis && o.xaxis.mode === "categories") || (o.yaxis && o.yaxis.mode === "categories")) {
    self.require("js/flot/jquery.flot.categories" + self.minSuffix + ".js");
}

If you like to know how to use custom theme with Struts2 jQuery plugin, you should read Overriding Struts2 jqGrid CSS.

References:

Struts2 jQuery Plugin 3.4.0 with improved Chart Tag released
ChartTag
Categories

来源：https://stackoverflow.com/questions/36673782/struts-2-jquery-plugin-chart-plugin-does-not-support-categories

标签

Struts 2 jquery plugin, chart plugin does not support categories

旧街凉风 — Sun, 24 Jan 2021 00:30:10 +0000

Struts 2 jquery plugin, chart plugin does not support categories 旧街凉风 2021-01-24 08:30:10

问题

The chart component in the Struts 2 jQuery plugin version 3.6 seems not supporting the category plugin for the sjc:chart.

I want to use Flot With “String” x-axis for chart and the best solution is to use jquery.flot.categories.js (Described at Flot With "String" x-axis).

Please let me know how can I fix it ?! I think I can extend the used jquery objects ( may be $.struts2_jquery_chart ) and add it but don't know how ?!

回答1:

It's easily fixable, just modify your jquery.chart.struts2.js and add the following code.

if ((o.xaxis && o.xaxis.mode === "categories") || (o.yaxis && o.yaxis.mode === "categories")) {
    self.require("js/flot/jquery.flot.categories" + self.minSuffix + ".js");
}

If you like to know how to use custom theme with Struts2 jQuery plugin, you should read Overriding Struts2 jqGrid CSS.

References:

Struts2 jQuery Plugin 3.4.0 with improved Chart Tag released
ChartTag
Categories

来源：https://stackoverflow.com/questions/36673782/struts-2-jquery-plugin-chart-plugin-does-not-support-categories

标签

9款好用的bi数据可视化工具

左心房为你撑大大i — Tue, 11 Aug 2020 22:52:20 +0000

9款好用的bi数据可视化工具左心房为你撑大大i 2020-08-12 06:52:20

大数据、数据分析的兴起和火爆，也带动了数据可视化的广泛应用。说起数据分析和可视化的关系，就好比你为一堆散乱的拼图写了一份说明，告诉他这个数据是什么样子，代表什么。可以说，数据可视化虽然不是必不可少的，但却是可以加快效率，为报告锦上添花的。

555.jpg

下面分享几款好用的数据可视化工具给大家，以作参考选择：

D3
D3（Data Driven Documents）是支持SVG渲染的另一种Java库。但是D3能够提供大量线性图和条形图之外的复杂图表样式，例如Voronoi图、树形图、圆形集群和单词云等。D3.js是数据驱动文件（Data-Driven Documents）的缩写，他通过使用HTMLCSS和SVG来渲染精彩的图表和分析图。D3对网页标准的强调足以满足在所有主流浏览器上使用的可能性，使你免于被其他类型架构所捆绑的苦恼，它可以将视觉效果很棒的组件和数据驱动方法结合在一起。

DataV
阿里出品的数据可视化解决方案，之所以推荐DataV这个后起之秀，完全是因为淘宝双“11”活动中实时互动大屏幕太抢眼了。DataV支持多种数据源，尤其是和阿里系各种数据库完美衔接，如果你的数据本身就存在阿里云上，那选用DataV肯定是个省时省力的好办法。图表方面，DataV内置了丰富的图表模板，支持实时数据采集和解析。

Echarts
一个纯java的数据可视化库，百度的产品，常应用于软件产品开发或者系统的图表模块，图表种类多，动态可视化效果，开源免费。Echarts中主要还是以图表为主，没有提供文本和表格方面的展现库，如果有相关需求还需要引入表格和文本方面的其他可视化库。

Flot
Flot是一个很棒的线图和条形图创建工具，可以运用于支持canvas的所有浏览器——意味着大多数主流浏览器。这是一个jQuery库，如果你已经熟悉jQuery，你就可以容易的对图像进行回调、风格和行为操作。浮悬的优点是你可以访问大量的调用函数，这样就可以运行你自己的代码。设定一种风格，可以让在用户悬停鼠标、点击、移开鼠标时展示不同的效果。比起其他制图工具，浮悬给予你更多的灵活空间。浮悬提供的选项不多，但它可以很好地执行常见的功能。

Tableau
Tableau 是桌面系统中最简单的商业智能工具软件，Tableau 没有强迫用户编写自定义代码，新的控制台也可完全自定义配置。在控制台上，不仅能够监测信息，而且还提供完整的分析能力。Tableau控制台灵活，具有高度的动态性。

Tableau公司将数据运算与美观的图表完美地嫁接在一起。它的程序很容易上手，各公司可以用它将大量数据拖放到数字“画布”上，转眼间就能创建好各种图表。这一软件的理念是，界面上的数据越容易操控，公司对自己在所在业务领域里的所作所为到底是正确还是错误，就能了解得越透彻。

Power BI
Power BI 是一套商业分析工具，用于在组织中提供见解。可连接数百个数据源、简化数据准备并提供即席分析。生成美观的报表并进行发布，供组织在 Web 和移动设备上使用。每个人都可创建个性化仪表板，获取针对其业务的全方位独特见解。在企业内实现扩展，内置管理和安全性。

Smartbi
Smartbi作为成熟的大数据分析平台，具备可复用、动静结合独特的展示效果，使得数据可视化灵活强大，动静皆宜，为广大用户提供了无限的应用能力和想象空间。

除了支持使用Excel作为报表设计器，完美兼容Excel的配置项。支持Excel所有内置图形、背景图、条件格式等设计复杂的仪表盘样式，同时支持完整ECharts 图形库，支持各种各样的图形，包含瀑布图、关系图、雷达图、油量图、热力图、树图等几十种动态交互的图形，借助于地理信息技术，还打造了地图分析功能。

Processing
Processing 是用 Java 编程语言写的，并且 Java 语言也是在语言树中最接近 Processing 的。所以，如果您熟悉 C 或 Java 语言，Processing 将很容易学。Processing 并不包括 Java 语言的一些较为高级的特性，但这些特性中的很多特性均已集成到了 Processing。如今，围绕它已经形成了一个专门的社区，致力于构建各种库以供用这种语言和环境进行动画、可视化、网络编程以及很多其他的应用。

Processing 是一个很棒的进行数据可视化的环境，具有一个简单的接口、一个功能强大的语言以及一套丰富的用于数据以及应用程序导出的机制。

Weka
Weka是一个能根据属性分类和集群大量数据的优秀工具，Weka不但是数据分析的强大工具，还能生成一些简单的图表。weka首先是一个数据挖掘的利器，它能够快速导入我们的结构化数据，然后对数据属性做分类、聚类分析，帮助我们理解数据。但他的可视化功能同样不逊色，选择界面中的visualization，你会立刻明白：是它让你理解数据，然后你才让用户可视化数据。

来源：oschina

链接：https://my.oschina.net/u/4375893/blog/4411599

标签

Linear Regression in Javascript

試著忘記壹切 — Sat, 09 May 2020 10:17:21 +0000

Linear Regression in Javascript 試著忘記壹切 2020-05-09 18:17:21

问题

I want to do Least Squares Fitting in Javascript in a web browser.

Currently users enter data point information using HTML text inputs and then I grab that data with jQuery and graph it with Flot.

After the user had entered in their data points I would like to present them with a "line of best fit". I imagine I would calculate the linear, polynomial, exponential and logarithmic equations and then choose the one with the highest R^2 value.

I can't seem to find any libraries that will help me to do this though. I stumbled upon jStat, but it is completely missing documentation (as far as I can find) and after digging through the the source code it doesn't seem to have any linear regression functionality built in--I'm basing this purely on function names however.

Does anyone know any Javascript libraries that offer simple regression analysis?

The hope would be that I could use the library like so...

If I had some set of scatter points in an array var points = [[3,4],[15,45],...[23,78]], I would be able to hand that to some function like lin_reg(points) and it would return something like [7.12,3] if the linear equation was y = 7.12 x + 3.

回答1:

What kind of linear regression? For something simple like least squares, I'd just program it myself:

http://mathworld.wolfram.com/LeastSquaresFitting.html

The math is not too hard to follow there, give it a shot for an hour or so and let me know if it's too hard, I can try it.

EDIT:

Found someone that did it:

http://dracoblue.net/dev/linear-least-squares-in-javascript/159/

回答2:

The simplest solution I found for the question at hand can be found in the following post: http://trentrichardson.com/2010/04/06/compute-linear-regressions-in-javascript/

Note that in addition to the linear equation, it also returns the R2 score, which can be useful.

** EDIT **

Here is the actual code snippet:

function linearRegression(y,x){
        var lr = {};
        var n = y.length;
        var sum_x = 0;
        var sum_y = 0;
        var sum_xy = 0;
        var sum_xx = 0;
        var sum_yy = 0;

        for (var i = 0; i < y.length; i++) {

            sum_x += x[i];
            sum_y += y[i];
            sum_xy += (x[i]*y[i]);
            sum_xx += (x[i]*x[i]);
            sum_yy += (y[i]*y[i]);
        } 

        lr['slope'] = (n * sum_xy - sum_x * sum_y) / (n*sum_xx - sum_x * sum_x);
        lr['intercept'] = (sum_y - lr.slope * sum_x)/n;
        lr['r2'] = Math.pow((n*sum_xy - sum_x*sum_y)/Math.sqrt((n*sum_xx-sum_x*sum_x)*(n*sum_yy-sum_y*sum_y)),2);

        return lr;
}

To use this you just need to pass it two arrays, known_y's and known_x's, so this is what you might pass:

var known_y = [1, 2, 3, 4];
var known_x = [5.2, 5.7, 5.0, 4.2];

var lr = linearRegression(known_y, known_x);
// now you have:
// lr.slope
// lr.intercept
// lr.r2

回答3:

I found this great JavaScript library.

It's very simple, and seems to work perfectly.

I also can't recommend Math.JS enough.

回答4:

Check out https://web.archive.org/web/20150523035452/https://cgwb.nci.nih.gov/cgwbreg.html (javascript regression calculator) - pure JavaScript, not CGI calls to server. The data and processing remains on your computer. Complete R style results and R code to check the work and a visualization of the results.

See the source code for the embedded JavaScript implementations of OLS and statistics associated with the results.

The code is my effort to port the GSL library functions to JavaScript.

The codes is released under GPL because it's basically line for line porting of GPL licensed Gnu Scientific Library (GSL) code.

EDIT: Paul Lutus also provides some GPL code for regression at: http://arachnoid.com/polysolve/index.html

回答5:

Simple linear regression with measures of variation ( Total sum of squares = Regression sum of squares + Error sum of squares ), Standard error of estimate SEE (Residual standard error), and coefficients of determination R2 and correlation R.

const regress = (x, y) => {
    const n = y.length;
    let sx = 0;
    let sy = 0;
    let sxy = 0;
    let sxx = 0;
    let syy = 0;
    for (let i = 0; i < n; i++) {
        sx += x[i];
        sy += y[i];
        sxy += x[i] * y[i];
        sxx += x[i] * x[i];
        syy += y[i] * y[i];
    }
    const mx = sx / n;
    const my = sy / n;
    const yy = n * syy - sy * sy;
    const xx = n * sxx - sx * sx;
    const xy = n * sxy - sx * sy;
    const slope = xy / xx;
    const intercept = my - slope * mx;
    const r = xy / Math.sqrt(xx * yy);
    const r2 = Math.pow(r,2);
    let sst = 0;
    for (let i = 0; i < n; i++) {
       sst += Math.pow((y[i] - my), 2);
    }
    const sse = sst - r2 * sst;
    const see = Math.sqrt(sse / (n - 2));
    const ssr = sst - sse;
    return {slope, intercept, r, r2, sse, ssr, sst, sy, sx, see};
}
regress([1, 2, 3, 4, 5], [1, 2, 3, 4, 3]);

回答6:

Here is a snippet that will take an array of triplets (x, y, r) where r is the weight of the (x, y) data point and return [a, b] such that Y = a*X + b approximate the data.

// return (a, b) that minimize
// sum_i r_i * (a*x_i+b - y_i)^2
function linear_regression( xyr )
{
    var i, 
        x, y, r,
        sumx=0, sumy=0, sumx2=0, sumy2=0, sumxy=0, sumr=0,
        a, b;

    for(i=0;i<xyr.length;i++)
    {   
        // this is our data pair
        x = xyr[i][0]; y = xyr[i][1]; 

        // this is the weight for that pair
        // set to 1 (and simplify code accordingly, ie, sumr becomes xy.length) if weighting is not needed
        r = xyr[i][2];  

        // consider checking for NaN in the x, y and r variables here 
        // (add a continue statement in that case)

        sumr += r;
        sumx += r*x;
        sumx2 += r*(x*x);
        sumy += r*y;
        sumy2 += r*(y*y);
        sumxy += r*(x*y);
    }

    // note: the denominator is the variance of the random variable X
    // the only case when it is 0 is the degenerate case X==constant
    b = (sumy*sumx2 - sumx*sumxy)/(sumr*sumx2-sumx*sumx);
    a = (sumr*sumxy - sumx*sumy)/(sumr*sumx2-sumx*sumx);

    return [a, b];
}

回答7:

Somewhat based on Nic Mabon's answer.

function linearRegression(x, y)
{
    var xs = 0;  // sum(x)
    var ys = 0;  // sum(y)
    var xxs = 0; // sum(x*x)
    var xys = 0; // sum(x*y)
    var yys = 0; // sum(y*y)

    var n = 0;
    for (; n < x.length && n < y.length; n++)
    {
        xs += x[n];
        ys += y[n];
        xxs += x[n] * x[n];
        xys += x[n] * y[n];
        yys += y[n] * y[n];
    }

    var div = n * xxs - xs * xs;
    var gain = (n * xys - xs * ys) / div;
    var offset = (ys * xxs - xs * xys) / div;
    var correlation = Math.abs((xys * n - xs * ys) / Math.sqrt((xxs * n - xs * xs) * (yys * n - ys * ys)));

    return { gain: gain, offset: offset, correlation: correlation };
}

Then y' = x * gain + offset.

来源：https://stackoverflow.com/questions/6195335/linear-regression-in-javascript

标签

Prometheus监控 Redis & Redis Cluster 说明

こ雲淡風輕ζ — Fri, 24 Apr 2020 00:19:22 +0000

Prometheus监控 Redis & Redis Cluster 说明こ雲淡風輕ζ 2020-04-24 08:19:22

说明

在前面的Prometheus + Grafana 部署说明之「安装」文章里，大致介绍说明了Prometheus和Grafana的一些安装使用，现在开始如何始部署Prometheus+Grafana 来监控Redis

部署

在之前介绍的Prometheus系列文章里，已经了解了Prometheus是通过拉取的方式来保存监控数据的，可以自己写一个服务来去Redis来获取需要监控的相关指标，也可以直接用现成的exporter，如GitHub上redis_exporter，本文对Redis的监控是通过该导出器进行的。

下载&解压：

#下载
wget
 https://github.com/oliver006/redis_exporter/releases/download/v1.3.5/redis_exporter-v1.3.5.linux-amd64.tar.gz
#解压
tar xvf redis_exporter-v1.3.5.linux-amd64.tar.gz

注意：redis_exporter 版本从 0.x to 1.x 有了很大的改变：为了使redis_exporter更紧密地遵循“编写导出器的最佳实践”，不再直接支持配置（和抓取）多个Redis实例，而是将这一任务推给了Prometheus服务器，具体情况可以看作者说明。如果需要抓取多个实例，请查看如何配置Prometheus服务器以刮取多个实例。

但如果已经按照Prometheus项目的推荐使用了导出器，并且仅scrape了一个实例（例如使用--redis.addr和--redis.password 标志），那么没有任何改变。

准备：

1）在开启redis_exporter [v1.3.5]之前，需要先配置Prometheus，按照Prometheus + Grafana 部署说明之「安装」装好Prometheus之后，修改其配置文件。本次示例是通过文件服务发现来处理的，因为监控服务的同时也要监控系统相关的指标，所以需要node_exporter和redis_exporter。文件发现机制有2种方式：exporter配置可以放到一个文件，也可以为每个实例单独配置文件。如放到一个配置文件：

① 多实例相同密码的抓取（只需要一个redis-exporter），集群信息：

3节点无从，密码 abc
192.168.163.132、133、134 -- 6379
192.168.163.132、133、134 -- 6380

1.1 exporter配置放到一个文件的相关配置：

prometheus.yml：

global:
  scrape_interval:     10s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/nodes-instances.json
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/redis-instances.json
    metrics_path: /scrape
    relabel_configs:
      - action: replace
        source_labels: ['__address__']
        regex: (.*):(.*)
        replacement: $1
        target_label: hostip
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
         target_label: instance
      - target_label: __address__
        replacement: 192.168.163.132:9123

View Code

nodes-instances.json：

[
  {
    "targets": [ "192.168.163.132:9199", "192.168.163.133:9199","192.168.163.134:9199"]
  }
]

View Code

redis-instances.json：

[
  {
    "targets": [ "192.168.163.132:6379","192.168.163.133:6379","192.168.163.134:6379"],
    "labels":  {"env":"test","cluster":"test_one"}
  },
  {
    "targets": [ "192.168.163.132:6380","192.168.163.133:6380","192.168.163.134:6380"],
    "labels":  {"env":"test","cluster":"test_two"}
  }
]

View Code

以后如果有相关的实例集群包括主从加进来，只要修改以上2个exporter文件即可。最后开启exporter：

#各个节点执行 node-exporter：
./node_exporter --web.listen-address=:9199

#指定节点执行 redis_exporter:
./redis_exporter  -redis-only-metrics  -redis.password abc -web.listen-address=:9123

1.2 exporter配置独立存放的相关配置：

prometheus.yml：

global:
  scrape_interval:     10s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/*.yml
    metrics_path: /scrape
    relabel_configs:
      - action: replace
        source_labels: ['__address__']
        regex: (.*):(.*)
        replacement: $1
        target_label: hostip
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: 192.168.163.132:9123

View Code

targets/node/*.yml：

# ls -lh /etc/prometheus/targets/node/*.yml
-rw-r--r-- 1 root root 117 4月  18 14:51 /etc/prometheus/targets/node/test2_node_exporter.yml
-rw-r--r-- 1 root root 117 4月  18 14:51 /etc/prometheus/targets/node/test3_node_exporter.yml
-rw-r--r-- 1 root root 117 4月  18 14:51 /etc/prometheus/targets/node/test4_node_exporter.yml

# cat /etc/prometheus/targets/node/test2_node_exporter.yml 
[
  {
    "targets": ["192.168.163.132:9199"],
    "labels": {"env":"test","alias":"test2"}
  }
]


# cat /etc/prometheus/targets/node/test3_node_exporter.yml 
[
  {
    "targets": ["192.168.163.133:9199"],
    "labels": {"env":"test","alias":"test3"}
  }
]


# cat /etc/prometheus/targets/node/test4_node_exporter.yml 
[
  {
    "targets": ["192.168.163.134:9199"],
    "labels": {"env":"test","alias":"test4"}
  }
]

View Code

targets/redis/*.yml：

# ls -lh /etc/prometheus/targets/redis/*.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/test2_6379_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/test2_6380_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/test3_6379_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:15 /etc/prometheus/targets/redis/test3_6380_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/test4_6379_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:15 /etc/prometheus/targets/redis/test4_6380_redis_exporter.yml

# cat /etc/prometheus/targets/redis/test2_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.132:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test2"}
  }
]

# cat /etc/prometheus/targets/redis/test3_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.133:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test3"}
  }
]

# cat /etc/prometheus/targets/redis/test4_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.134:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test4"}
  }
]

# cat /etc/prometheus/targets/redis/test2_6380_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.132:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test2"}
  }
]

# cat /etc/prometheus/targets/redis/test3_6380_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.133:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test3"}
  }
]

# cat /etc/prometheus/targets/redis/test4_6380_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.134:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test4"}
  }
]

View Code

以后如果有相关的实例集群加进来包括主从，只要新增2类exporter文件即可。最后开启exporter：

#各个节点执行 node-exporter：
./node_exporter --web.listen-address=:9199

#指定节点执行 redis_exporter:
./redis_exporter  -redis-only-metrics  -redis.password abc -web.listen-address=:9123

以上2种通过文件服务发现的方法，推荐第2个。因为新增的文件有问题也不影响服务，修改文件可能会引发问题；并且也可以为各个节点打需要的labels。

最后配置Grafana，效果：

JSON Model：

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": 13,
  "iteration": 1587194136640,
  "links": [],
  "panels": [
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群个数",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 0,
        "y": 0
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(count(redis_up{cluster=~\"$cluster\"}>0) by (cluster))",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 5,
        "y": 0
      },
      "id": 4,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群活跃节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 4,
        "x": 10,
        "y": 0
      },
      "id": 6,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"}>0)",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群活跃节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorPrefix": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "主节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{cluster=~\"$cluster\", role=\"master\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "主节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "从节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 19,
        "y": 0
      },
      "id": 12,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{cluster=~\"$cluster\", role=\"slave\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "从节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "Redus  Cluster OPS指标",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 3
      },
      "hiddenSeries": false,
      "id": 16,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "nullPointMode": "null",
      "options": {
        "dataLinks": []
      },
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "ceil(sum(rate(redis_commands_processed_total{cluster=~\"$cluster\",instance=~\"$master\"}[$interval])) by (cluster))",
          "interval": "5s",
          "legendFormat": "{{cluster}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Redis Cluster OPS",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "Redis 内存使用大小值",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 12,
        "y": 3
      },
      "hiddenSeries": false,
      "id": 18,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "nullPointMode": "null",
      "options": {
        "dataLinks": []
      },
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "redis_memory_used_bytes{instance=~\"$instance\"} ",
          "interval": "5s",
          "legendFormat": "{{instance}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Redis 内存使用大小",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
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        "includeAll": true,
        "index": -1,
        "label": "Role",
        "multi": true,
        "name": "role",
        "options": [],
        "query": "label_values(redis_instance_info,role)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "instance",
        "multi": true,
        "name": "instance",
        "options": [],
        "query": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{cluster=~\"$cluster\",role=\"master\"},instance)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "master",
        "multi": true,
        "name": "master",
        "options": [],
        "query": "label_values(redis_instance_info{cluster=~\"$cluster\",role=\"master\"},instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_up{cluster=~\"$cluster\"}, hostip)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "host",
        "multi": true,
        "name": "host",
        "options": [],
        "query": "label_values(redis_up{cluster=~\"$cluster\"}, hostip)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-5m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Redis_Cluster_V1.35",
  "uid": "5FfBHG3Zz",
  "variables": {
    "list": []
  },
  "version": 3
}

View Code

②：不同密码多实例抓取，因为使用的是 >1.x 的redis_exporter [v1.3.5]，不支持多实例。因为一个export只能指定一个密码，如果想进行多实例不同密码抓取的话，所以需要在Prometheus配置多个redis_exporter，集群信息为：

3节点无从
192.168.163.132、133、134 -- 6379  密码 abc
192.168.163.132、133、134 -- 6380  密码 cba

prometheus.yml：

global:
  scrape_interval:     10s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter_A'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/A*.yml
    metrics_path: /scrape
    relabel_configs:
      - action: replace
        source_labels: ['__address__']
        regex: (.*):(.*)
        replacement: $1
        target_label: hostip
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: 192.168.163.132:9123

  - job_name: 'redis_exporter_B'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/B*.yml
    metrics_path: /scrape
    relabel_configs:
      - action: replace
        source_labels: ['__address__']
        regex: (.*):(.*)
        replacement: $1
        target_label: hostip
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: 192.168.163.132:9124

View Code

targets/redis/*.yml：

# ls -lh /etc/prometheus/targets/redis/A*.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/Atest2_6379_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/Atest3_6379_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/Atest4_6379_redis_exporter.yml

# ls -lh /etc/prometheus/targets/redis/B*.yml
-rw-r--r-- 1 root root 121 4月  18 13:14 /etc/prometheus/targets/redis/Btest2_6380_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:15 /etc/prometheus/targets/redis/Btest3_6380_redis_exporter.yml
-rw-r--r-- 1 root root 121 4月  18 13:15 /etc/prometheus/targets/redis/Btest4_6380_redis_exporter.yml

# cat /etc/prometheus/targets/redis/Atest2_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.132:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test2"}
  }
]
# cat /etc/prometheus/targets/redis/Atest3_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.133:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test3"}
  }
]
# cat /etc/prometheus/targets/redis/Atest4_6379_redis_exporter.yml
[
  {
    "targets": [ "192.168.163.134:6379"],
    "labels":  {"env":"test","cluster":"test_one","alias":"test4"}
  }
]
# cat /etc/prometheus/targets/redis/Btest2_6380_redis_exporter.yml 
[
  {
    "targets": [ "192.168.163.132:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test2"}
  }
]
# cat /etc/prometheus/targets/redis/Btest3_6380_redis_exporter.yml 
[
  {
    "targets": [ "192.168.163.133:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test3"}
  }
]
# cat /etc/prometheus/targets/redis/Btest4_6380_redis_exporter.yml 
[
  {
    "targets": [ "192.168.163.134:6380"],
    "labels":  {"env":"test","cluster":"test_two","alias":"test4"}
  }
]

View Code

以后如果有相关的实例集群包括主从加进来，只要新增2类exporter文件即可。最后开启exporter：

#指定节点执行 redis_exporter:
./redis_exporter  -redis-only-metrics  -redis.password abc -web.listen-address=:9123

#指定节点执行 redis_exporter:
./redis_exporter  -redis-only-metrics  -redis.password cba -web.listen-address=:9124

最后配置Grafana，效果和①一样，唯一的区别就是②开多个exporter。这样会导致一个问题：每次增加不同密码的节点都会修改Prometheus配置文件，既不安全也不方便。可以通过下面方法来实现多实例不同密码抓取。按照编写导出器的最佳实践，需要像nodes_exporter一样在不同实例的主机上安装和开启redis_exporter，即为每个redis instance开启一个exporter。集群信息为：

集群1：密码 cc
M: 
192.168.163.132:15389
192.168.163.133:15389
192.168.163.134:15389
S:
192.168.163.132:15489
192.168.163.133:15489
192.168.163.134:15489

集群2：密码abc
M:
192.168.163.132:6379
192.168.163.133:6379
192.168.163.134:6379
S:
192.168.163.132:6381
192.168.163.133:6381
192.168.163.134:6381

prometheus.yml：

global:
  scrape_interval:     10s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/node*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/redis*.yml
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostip
    - action: labeldrop
      regex: __meta_filepath

View Code

targets/redis/redis*.yml

root@test2:/etc/prometheus/targets/redis# ls -lh redis*
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:02 redis_test2_15389_exporter.yml
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:05 redis_test2_15489_exporter.yml
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:02 redis_test3_15389_exporter.yml
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:05 redis_test3_15489_exporter.yml
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:03 redis_test4_15389_exporter.yml
-rw-r--r-- 1 prometheus prometheus 117 4月  18 22:05 redis_test4_15489_exporter.yml

root@test2:/etc/prometheus/targets/redis# cat redis_test2_15389_exporter.yml 
[
  {
    "targets": ["192.168.163.132:9121"],
    "labels": {"env":"test","cluster":"test","alias":"test2"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat redis_test3_15389_exporter.yml 
[
  {
    "targets": ["192.168.163.133:9121"],
    "labels": {"env":"test","cluster":"test","alias":"test3"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat redis_test4_15389_exporter.yml 
[
  {
    "targets": ["192.168.163.134:9121"],
    "labels": {"env":"test","cluster":"test","alias":"test4"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat redis_test2_15489_exporter.yml 
[
  {
    "targets": ["192.168.163.132:9122"],
    "labels": {"env":"test","cluster":"test","alias":"test2"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat redis_test3_15489_exporter.yml 
[
  {
    "targets": ["192.168.163.133:9122"],
    "labels": {"env":"test","cluster":"test","alias":"test3"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat redis_test4_15489_exporter.yml 
[
  {
    "targets": ["192.168.163.134:9122"],
    "labels": {"env":"test","cluster":"test","alias":"test4"}
  }
]

View Code

通过文件服务发现，实现动态添加节点（exporter），一个Redis实例一个exporter，这里只开集群1的exporter，即在test2、test3、test4上各开启2个exporter，共6个exporter对应6个Redis实例，配置完成之后，可以直接到各个监控主机上启动redis_exporter：

test2:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.132:15389 -redis.password cc -web.listen-address=:9121
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.132:15489 -redis.password cc -web.listen-address=:9122
test3:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.133:15389 -redis.password cc -web.listen-address=:9121
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.133:15489 -redis.password cc -web.listen-address=:9122
test4:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.134:15389 -redis.password cc -web.listen-address=:9121
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.134:15489 -redis.password cc -web.listen-address=:9122

最后配置Grafana，效果：

JSON Model：

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": 13,
  "iteration": 1587219062782,
  "links": [],
  "panels": [
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群个数",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 0,
        "y": 0
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(count(redis_up{cluster=~\"$cluster\"}>0) by (cluster))",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 5,
        "y": 0
      },
      "id": 4,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群活跃节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 4,
        "x": 10,
        "y": 0
      },
      "id": 6,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"}>0)",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群活跃节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorPrefix": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "主节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{cluster=~\"$cluster\", role=\"master\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "主节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "从节点数量",
      "format": "none",
      "gauge": {
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        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "各个节点 的负载",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 43
      },
      "hiddenSeries": false,
      "id": 34,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "nullPointMode": "null",
      "options": {
        "dataLinks": []
      },
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "node_load1{hostname=~\"$host\"}",
          "interval": "",
          "legendFormat": "{{hostname}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "负载（Load）",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    }
  ],
  "refresh": "5s",
  "schemaVersion": 22,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "auto": true,
        "auto_count": 100,
        "auto_min": "1s",
        "current": {
          "selected": true,
          "text": "5s",
          "value": "5s"
        },
        "hide": 0,
        "label": "interval",
        "name": "interval",
        "options": [
          {
            "selected": false,
            "text": "auto",
            "value": "$__auto_interval_interval"
          },
          {
            "selected": true,
            "text": "5s",
            "value": "5s"
          },
          {
            "selected": false,
            "text": "30s",
            "value": "30s"
          },
          {
            "selected": false,
            "text": "1m",
            "value": "1m"
          },
          {
            "selected": false,
            "text": "10m",
            "value": "10m"
          },
          {
            "selected": false,
            "text": "30m",
            "value": "30m"
          },
          {
            "selected": false,
            "text": "1h",
            "value": "1h"
          },
          {
            "selected": false,
            "text": "6h",
            "value": "6h"
          },
          {
            "selected": false,
            "text": "12h",
            "value": "12h"
          },
          {
            "selected": false,
            "text": "1d",
            "value": "1d"
          }
        ],
        "query": "5s,30s,1m,10m,30m,1h,6h,12h,1d",
        "refresh": 2,
        "skipUrlSync": false,
        "type": "interval"
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_up,cluster)",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Cluster",
        "multi": true,
        "name": "cluster",
        "options": [],
        "query": "label_values(redis_up,cluster)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info,role)",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Role",
        "multi": true,
        "name": "role",
        "options": [],
        "query": "label_values(redis_instance_info,role)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "instance",
        "multi": true,
        "name": "instance",
        "options": [],
        "query": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{cluster=~\"$cluster\",role=\"master\"},instance)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "master",
        "multi": true,
        "name": "master",
        "options": [],
        "query": "label_values(redis_instance_info{cluster=~\"$cluster\",role=\"master\"},instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_up{cluster=~\"$cluster\"}, hostip)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "host",
        "multi": true,
        "name": "host",
        "options": [],
        "query": "label_values(redis_up{cluster=~\"$cluster\"}, hostip)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-5m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Redis_Cluster_V1.35",
  "uid": "5FfBHG3Zz",
  "variables": {
    "list": []
  },
  "version": 4
}

View Code

③：旧版本redis_exporter [v0.34.1]支持多实例不同密码，集群信息：

集群1：密码 cc
M: 
192.168.163.132:15389
192.168.163.133:15389
192.168.163.134:15389
S:
192.168.163.132:15489
192.168.163.133:15489
192.168.163.134:15489

集群2：密码abc
M:
192.168.163.132:6379
192.168.163.133:6379
192.168.163.134:6379
S:
192.168.163.132:6381
192.168.163.133:6381
192.168.163.134:6381

prometheus.yml：

global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/nodes-instances.json
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__'] 
      regex: (.*):(.*) 
      replacement: $1
      target_label: hostip
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    static_configs:
    - targets: ['192.168.163.132:9128']

View Code

redis_exporter直接用命令行启动：对应的参数有-redis.addr、-redis.alias、-redis.password：

# ./redis_exporter -redis-only-metrics -redis.addr 192.168.163.132:15389,192.168.163.133:15389,192.168.163.134:15389,192.168.163.132:15489,192.168.163.133:15489,192.168.163.134:15489,192.168.163.132:6379,192.168.163.133:6379,192.168.163.134:6379,192.168.163.132:6381,192.168.163.133:6381,192.168.163.134:6381 -redis.alias test,test,test,test,test,test,test123,test123,test123,test123,test123,test123 -redis.password cc,cc,cc,cc,cc,cc,abc,abc,abc,abc,abc,abc -web.listen-address :9128
INFO[0000] Redis Metrics Exporter v0.34.1    build date: 2019-05-09-15:42:21    sha1: 1c168d07eff09e64efb18600a35664d6666926e6    Go: go1.12.5 
INFO[0000] Providing metrics at :9128/metrics           
INFO[0000] Connecting to redis hosts: []string{"192.168.163.132:15389", "192.168.163.133:15389", "192.168.163.134:15389", "192.168.163.132:15489", "192.168.163.133:15489", "192.168.163.134:15489", "192.168.163.132:6379", "192.168.163.133:6379", "192.168.163.134:6379", "192.168.163.132:6381", "192.168.163.133:6381", "192.168.163.134:6381"} 
INFO[0000] Using alias: []string{"test", "test", "test", "test", "test", "test", "test123", "test123", "test123", "test123", "test123", "test123"}

注意：参数、密码和实例的他们是一一对应的。最后配置Grafana，效果：

JSON Model：

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": 14,
  "iteration": 1587221739977,
  "links": [],
  "panels": [
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群个数",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 0,
        "y": 0
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(count(redis_up{alias=~\"$cluster\"}>0) by (alias))",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 5,
        "y": 0
      },
      "id": 4,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{alias=~\"$cluster\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群活跃节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 4,
        "x": 10,
        "y": 0
      },
      "id": 6,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{alias=~\"$cluster\"}>0)",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群活跃节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorPrefix": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "主节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{alias=~\"$cluster\", role=\"master\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "主节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "从节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 19,
        "y": 0
      },
      "id": 12,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{alias=~\"$cluster\", role=\"slave\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "从节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "Redus  Cluster OPS指标",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 3
      },
      "hiddenSeries": false,
      "id": 16,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
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          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    }
  ],
  "refresh": "5s",
  "schemaVersion": 22,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "auto": true,
        "auto_count": 100,
        "auto_min": "1s",
        "current": {
          "selected": true,
          "text": "5s",
          "value": "5s"
        },
        "hide": 0,
        "label": "interval",
        "name": "interval",
        "options": [
          {
            "selected": false,
            "text": "auto",
            "value": "$__auto_interval_interval"
          },
          {
            "selected": true,
            "text": "5s",
            "value": "5s"
          },
          {
            "selected": false,
            "text": "30s",
            "value": "30s"
          },
          {
            "selected": false,
            "text": "1m",
            "value": "1m"
          },
          {
            "selected": false,
            "text": "10m",
            "value": "10m"
          },
          {
            "selected": false,
            "text": "30m",
            "value": "30m"
          },
          {
            "selected": false,
            "text": "1h",
            "value": "1h"
          },
          {
            "selected": false,
            "text": "6h",
            "value": "6h"
          },
          {
            "selected": false,
            "text": "12h",
            "value": "12h"
          },
          {
            "selected": false,
            "text": "1d",
            "value": "1d"
          }
        ],
        "query": "5s,30s,1m,10m,30m,1h,6h,12h,1d",
        "refresh": 2,
        "skipUrlSync": false,
        "type": "interval"
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_up,alias)",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Cluster",
        "multi": true,
        "name": "cluster",
        "options": [],
        "query": "label_values(redis_up,alias)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{alias=~\"$cluster\"},role)",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Role",
        "multi": true,
        "name": "role",
        "options": [],
        "query": "label_values(redis_instance_info{alias=~\"$cluster\"},role)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{alias=~\"$cluster\",role=~\"$role\"},addr)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "instance",
        "multi": true,
        "name": "instance",
        "options": [],
        "query": "label_values(redis_instance_info{alias=~\"$cluster\",role=~\"$role\"},addr)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{alias=~\"$cluster\",role=\"master\"},addr)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "master",
        "multi": true,
        "name": "master",
        "options": [],
        "query": "label_values(redis_instance_info{alias=~\"$cluster\",role=\"master\"},addr)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_up{alias=~\"$cluster\"}, addr)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "host",
        "multi": true,
        "name": "host",
        "options": [],
        "query": "label_values(redis_up{alias=~\"$cluster\"}, addr)",
        "refresh": 1,
        "regex": "(.*):.*",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-5m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Redis_Cluster_V0.34",
  "uid": "5FfBHG3Zz1",
  "variables": {
    "list": []
  },
  "version": 1
}

View Code

3）导入dashboard（763）到Grafana，展示的监控图：

需要注意的是，监控面板上看到的是exporter的IP和端口，看不到Redis实例的端口，如果是一台机器部署一台Redis实例，则可以直接使用主机名。或则修改相应的labels来自定义需求。除了修改labels之外，还可以自定义数据源，如使用MySQL作为新数据源。

5）MySQL做为数据源定制模板

添加数据源：

表结构：

CREATE TABLE `cluster_info` (
  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键',
  `cluster_type` varchar(64) DEFAULT NULL COMMENT '集群类型',
  `cluster_name` varchar(64) DEFAULT NULL COMMENT '集群名',
  `hostname` varchar(64) DEFAULT NULL COMMENT '主机名',
  `host_ip` varchar(64) DEFAULT NULL COMMENT 'IP',
  `port` int(11) DEFAULT NULL COMMENT '服务端口',
  `role` varchar(64) DEFAULT NULL COMMENT '服务角色',
  `comments` varchar(500) DEFAULT NULL COMMENT '集群描述',
  `create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
  `update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
  PRIMARY KEY (`id`),
  KEY `idx_create_time` (`create_time`),
  KEY `idx_update_time` (`update_time`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8 COMMENT='集群信息'

表记录：

mysql> select * from cluster_info;
+----+---------------+--------------+----------+-----------------+------+--------+--------------+---------------------+---------------------+
| id | cluster_type  | cluster_name | hostname | host_ip         | port | role   | comments     | create_time         | update_time         |
+----+---------------+--------------+----------+-----------------+------+--------+--------------+---------------------+---------------------+
|  1 | Redis_Cluster | testX        | test2    | 192.168.163.132 | 6380 | master | 测试集群     | 2020-04-08 19:22:56 | 2020-04-09 11:19:13 |
|  2 | Redis_Cluster | testX        | test3    | 192.168.163.133 | 6380 | master | 测试集群     | 2020-04-08 19:24:29 | 2020-04-09 11:19:16 |
|  3 | Redis_Cluster | testX        | test4    | 192.168.163.134 | 6380 | master | 测试集群     | 2020-04-08 19:24:33 | 2020-04-09 11:19:16 |
+----+---------------+--------------+----------+-----------------+------+--------+--------------+---------------------+---------------------+

5.1 使用编写导出器的最佳实践：

prometheus.yml：

global:
  scrape_interval:     10s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']

  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/node*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/redis/Xredis*.yml
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostip
    - action: labeldrop
      regex: __meta_filepath

View Code

targets/node/node*.yml

root@test2:/etc/prometheus/targets/node# ls -lh node*.yml
-rw-r--r-- 1 prometheus prometheus 103 4月  19 01:24 node_test2_exporter.yml
-rw-r--r-- 1 prometheus prometheus 103 4月  18 16:18 node_test3_exporter.yml
-rw-r--r-- 1 prometheus prometheus 103 4月  18 16:18 node_test4_exporter.yml
root@test2:/etc/prometheus/targets/node# cat node_test2_exporter.yml
[
  {
    "targets": ["192.168.163.132:9199"],
    "labels": {"env":"test","instance":"test2"}
  }
]


root@test2:/etc/prometheus/targets/node# cat node_test3_exporter.yml
[
  {
    "targets": ["192.168.163.133:9199"],
    "labels": {"env":"test","instance":"test3"}
  }
]


root@test2:/etc/prometheus/targets/node# cat node_test4_exporter.yml
[
  {
    "targets": ["192.168.163.134:9199"],
    "labels": {"env":"test","instance":"test4"}
  }
]

View Code

targets/redis/Xredis*.yml

root@test2:/etc/prometheus/targets/redis# ls -lh Xredis*.yml
-rw-r--r-- 1 root root 118 4月  19 00:34 Xredis_test2_6380_exporter.yml
-rw-r--r-- 1 root root 118 4月  19 00:36 Xredis_test3_6380_exporter.yml
-rw-r--r-- 1 root root 118 4月  19 00:35 Xredis_test4_6380_exporter.yml
root@test2:/etc/prometheus/targets/redis# cat Xredis_test2_6380_exporter.yml
[
  {
    "targets": ["192.168.163.132:9123"],
    "labels": {"env":"test","cluster":"testX","alias":"test2"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat Xredis_test3_6380_exporter.yml
[
  {
    "targets": ["192.168.163.133:9123"],
    "labels": {"env":"test","cluster":"testX","alias":"test3"}
  }
]


root@test2:/etc/prometheus/targets/redis# cat Xredis_test4_6380_exporter.yml
[
  {
    "targets": ["192.168.163.134:9123"],
    "labels": {"env":"test","cluster":"testX","alias":"test4"}
  }
]

View Code

配置完成之后，可以直接到各个监控主机上启动redis_exporter：

test2:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.132:6380 -redis.password cba  -web.listen-address=:9123

test3:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.133:6380 -redis.password cba  -web.listen-address=:9123

test4:
./redis_exporter  -redis-only-metrics -redis.addr 192.168.163.134:6380 -redis.password cba  -web.listen-address=:9123

最后配置Grafana，效果：

JSON Model：

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": 13,
  "iteration": 1587231669738,
  "links": [],
  "panels": [
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群个数",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 0,
        "y": 0
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(count(redis_up{cluster=~\"$cluster\"}) by (cluster))",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 5,
        "y": 0
      },
      "id": 4,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群活跃节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 4,
        "x": 10,
        "y": 0
      },
      "id": 6,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{cluster=~\"$cluster\"}>0)",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群活跃节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorPrefix": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "主节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{cluster=~\"$cluster\", role=\"master\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "主节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "从节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 19,
        "y": 0
      },
      "id": 12,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{cluster=~\"$cluster\", role=\"slave\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "从节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
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          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    }
  ],
  "refresh": "5s",
  "schemaVersion": 22,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "auto": true,
        "auto_count": 100,
        "auto_min": "1s",
        "current": {
          "selected": false,
          "text": "5s",
          "value": "5s"
        },
        "hide": 0,
        "label": "interval",
        "name": "interval",
        "options": [
          {
            "selected": false,
            "text": "auto",
            "value": "$__auto_interval_interval"
          },
          {
            "selected": true,
            "text": "5s",
            "value": "5s"
          },
          {
            "selected": false,
            "text": "30s",
            "value": "30s"
          },
          {
            "selected": false,
            "text": "1m",
            "value": "1m"
          },
          {
            "selected": false,
            "text": "10m",
            "value": "10m"
          },
          {
            "selected": false,
            "text": "30m",
            "value": "30m"
          },
          {
            "selected": false,
            "text": "1h",
            "value": "1h"
          },
          {
            "selected": false,
            "text": "6h",
            "value": "6h"
          },
          {
            "selected": false,
            "text": "12h",
            "value": "12h"
          },
          {
            "selected": false,
            "text": "1d",
            "value": "1d"
          }
        ],
        "query": "5s,30s,1m,10m,30m,1h,6h,12h,1d",
        "refresh": 2,
        "skipUrlSync": false,
        "type": "interval"
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select cluster_name from cluster_info where cluster_type = \"Redis_Cluster\"",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Cluster",
        "multi": true,
        "name": "cluster",
        "options": [],
        "query": "select cluster_name from cluster_info where cluster_type = \"Redis_Cluster\"",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select role from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "hide": 0,
        "includeAll": true,
        "index": -1,
        "label": "Role",
        "multi": true,
        "name": "role",
        "options": [],
        "query": "select role from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "host",
        "multi": true,
        "name": "host",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"master\"",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "master",
        "multi": true,
        "name": "master",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"master\"",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"slave\"",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "slave",
        "multi": true,
        "name": "slave",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"slave\"",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "Prometheus",
        "definition": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "instance",
        "multi": true,
        "name": "instance",
        "options": [],
        "query": "label_values(redis_instance_info{cluster=~\"$cluster\",role=~\"$role\"},instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-5m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Redis_Cluster_V1.35",
  "uid": "5FfBHG3Zz",
  "variables": {
    "list": []
  },
  "version": 9
}

View Code

5.2 使用老版本的exporter：

prometheus.yml

global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.132:9099']


  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/node*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    static_configs:
    - targets: ['192.168.163.132:9128']

View Code

配置完成之后，可以直接到监控主机上启动redis_exporter：

./redis_exporter -redis-only-metrics -redis.addr 192.168.163.132:6380,192.168.163.133:6380,192.168.163.134:6380 -redis.alias test2,test3,test4 -redis.password cba,cba,cba -web.listen-address :9128

最后配置Grafana，效果：

JSON Model：

{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": 13,
  "iteration": 1587234344797,
  "links": [],
  "panels": [
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": "MySQL",
      "description": "集群个数",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 0,
        "y": 0
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "format": "table",
          "group": [],
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": "select count(distinct cluster_name) from cluster_info where cluster_type = 'Redis_Cluster'",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "id"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "cluster_info",
          "timeColumn": "create_time",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 5,
        "y": 0
      },
      "id": 4,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{alias=~\"$all_host\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "集群活跃节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 4,
        "x": 10,
        "y": 0
      },
      "id": 6,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_up{alias=~\"$all_host\"}>0)",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "集群活跃节点数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorPrefix": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "主节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 10,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{alias=~\"$master\", role=\"master\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "主节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "cacheTimeout": null,
      "colorBackground": false,
      "colorValue": true,
      "colors": [
        "#299c46",
        "rgba(237, 129, 40, 0.89)",
        "#d44a3a"
      ],
      "datasource": null,
      "description": "从节点数量",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 5,
        "x": 19,
        "y": 0
      },
      "id": 12,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false,
        "ymax": null,
        "ymin": null
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "count(redis_instance_info{alias=~\"$slave\", role=\"slave\"})",
          "interval": "",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": "",
      "timeFrom": null,
      "timeShift": null,
      "title": "从节点个数",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "N/A",
          "value": "null"
        }
      ],
      "valueName": "current"
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "Redus  Cluster OPS指标",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 3
      },
      "hiddenSeries": false,
      "id": 16,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "nullPointMode": "null",
      "options": {
        "dataLinks": []
      },
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "ceil(sum(rate(redis_commands_processed_total{alias=~\"$master\"}[$interval])))",
          "interval": "5s",
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Redis Cluster OPS",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": null,
      "description": "Redis 内存使用大小值",
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 12,
        "y": 3
      },
      "hiddenSeries": false,
      "id": 18,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "nullPointMode": "null",
      "options": {
        "dataLinks": []
      },
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "redis_memory_used_bytes{alias=~\"$host\"} ",
          "interval": "5s",
          "legendFormat": "{{alias}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Redis 内存使用大小",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
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        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "host",
        "multi": true,
        "name": "host",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)  and  role in ($role)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"master\"",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "master",
        "multi": true,
        "name": "master",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"master\"",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"slave\"",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "slave",
        "multi": true,
        "name": "slave",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster) and role=\"slave\"",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {
          "text": "All",
          "value": [
            "$__all"
          ]
        },
        "datasource": "MySQL",
        "definition": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "hide": 2,
        "includeAll": true,
        "index": -1,
        "label": "all_host",
        "multi": true,
        "name": "all_host",
        "options": [],
        "query": "select hostname from cluster_info where cluster_type  = \"Redis_Cluster\"  and cluster_name in ($cluster)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-5m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Redis_Cluster_V1.35",
  "uid": "5FfBHG3Zz",
  "variables": {
    "list": []
  },
  "version": 14
}

View Code

从上面的图中看到，其中OPS的Legend展示的是表达式，按照老版本的的redis_exporter，不能自定义label，虽然监控不同密码多实例比较方便，但作图的时候不好看。目前想到二种方法：

1. 使用推荐的一个实例一个exporter。

2. 在老版本redis_exporter基础上，对指标进行重新定义和打label，此时需要自己编写一个exporter来对指标进行重写。

如：老版本的redis_exporter部署在137这台机器上，并且端口为9128：使用python的prometheus_client模块编写一个服务（5000）来抓取数据进行label修改：

#!/bin/env python
# -*- encoding: utf-8 -*-

import requests
import re
import json
import MySQLdb
import prometheus_client
from prometheus_client import Gauge,Counter
from flask import Response, Flask
app = Flask(__name__)


def redis_cluster_metadata():
    conn = MySQLdb.connect(host="192.168.163.133", port=3306, user="dba", passwd="dba", db='test', charset='utf8')
    query = ''' 
SELECT
    concat( host_ip, ':', PORT ) ip,
    cluster_name 
FROM
    cluster_info 
WHERE
    cluster_type = 'Redis_Cluster'
    '''
    cursor = conn.cursor()
    cursor.execute(query)
    conn.commit()
    result = cursor.fetchall()
    cursor.close()
    return result


def gauge_init(pair):
    result = {}
    for k, v in pair.items():
        name = v
        documentation = v
        label = ("alias", "addr", "cluster")
        gauge = Gauge(name, documentation, label)
        result[v] = gauge
    return result


def redis_cluster_metric(pair):
    url = "http://192.168.163.137:9128/metrics"
    pat = re.compile(r'addr="(.*)",alias="(.*)"')
    request_data = requests.get(url, timeout=3)
    metrics_info = request_data.text
    metrics_dict = {}
    for metrics in metrics_info.split('\n'):
        for metric in pair:
            if metrics.find(metric) == 0:
                value = metrics.split(' ')[1]
                pat_info = pat.search(metrics)
                ip = pat_info.group(1)
                alias = pat_info.group(2)
                metrics_dict.setdefault(ip, {})
                metrics_dict[ip]['alias'] = alias
                metrics_dict[ip][metrics_pair[metric]] = value
    return metrics_dict


@app.route("/metrics")
def prometheus_for_redis(): 
    redis_cluster_info = redis_cluster_metadata()
    metadata_dict = {}
    for redis_cluster_item in redis_cluster_info:
        ip,clustername = redis_cluster_item
        metadata_dict[ip] = clustername

    metrics_dict = redis_cluster_metric(metrics_pair)

    
    for k,v in metrics_dict.items():
        for _k,_v in metadata_dict.items():
            if k == _k:
                metrics_dict[k]['cluster'] = _v

    print metadata_dict
    print metrics_dict

    result = ''
    for metric_name, gauge in gauge_dict.items():
        for k, v in metrics_dict.items():
            if k in metadata_dict.keys():
                gauge.labels(alias=v['alias'], addr=k, cluster=v['cluster']).set(v[metric_name])

        result = result + prometheus_client.generate_latest(gauge).decode()
    return Response(result, mimetype="text/plain")
    
if __name__ == "__main__":
    metrics_pair = {'redis_commands_processed_total': 'cluster_redis_commands_processed_total','redis_cluster_size':'cluster_redis_cluster_size'}
    gauge_dict = gauge_init(metrics_pair)
    app.run(host="0.0.0.0")

View Code

大致的思想是：对原始的redis_exporter的指标进行过滤，拿出需要的指标进行label指定，最后作为一个导出器服务启动（5000），并配置到prometheus.yml里：

global:
  scrape_interval:     5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 5s # Evaluate rules every 15 seconds. The default is every 1 minute.

alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
    - targets: ['192.168.163.137:9099']


  - job_name: 'node_exporter'
    scrape_interval: 1s
    file_sd_configs:
      - files:
        - targets/node/node*.yml
        refresh_interval: 10s
    relabel_configs:
    - action: replace
      source_labels: ['__address__']
      regex: (.*):(.*)
      replacement: $1
      target_label: hostname
    - action: labeldrop
      regex: __meta_filepath

  - job_name: 'redis_exporter'
    scrape_interval: 1s
    static_configs:
    - targets: ['192.168.163.137:9128']

  - job_name: 'redisx_exporter'
    metrics_path: /redisx_cluster/metrics
    scrape_interval: 1s
    static_configs:
    - targets: ['192.168.163.137:5000']

View Code

/Users/jinyizhou [18:51:25] ~$ curl http://0.0.0.0:5000/metrics
# HELP cluster_redis_commands_processed_total cluster_redis_commands_processed_total
# TYPE cluster_redis_commands_processed_total gauge
cluster_redis_commands_processed_total{addr="192.168.163.137:6380",alias="test2",cluster="testX"} 1796512.0
cluster_redis_commands_processed_total{addr="192.168.163.133:6380",alias="test3",cluster="testX"} 1592838.0
cluster_redis_commands_processed_total{addr="192.168.163.134:6380",alias="test4",cluster="testX"} 1592053.0

View Code

最后OPS的Legend显示为：

小结：

上面的给出的这些参考指标以及监控项可以按照需要自行进行调整，如果需要做类似redis_exporter的导出器，可以连接Redis各个节点进行采样。具体的一些方法可以参考client_python。

总结：

本文大致介绍了Prometheus 监控Redis（cluster）的方法，后续会不定期进行对监控的完善。redis_exporter在v1.0之后做了比较大的调整，特别是对多实例不同密码这一块的改变，推荐还是最新版本的redis_exporter，按照推荐进行设置。如果需要，大家可以看官方文档进行相应的学习。

来源：oschina

链接：https://my.oschina.net/u/4353184/blog/3652000

标签

How can I make JsonResult return an array of arrays (without field names) rather than an array of objects?

笑着哭i — Fri, 21 Feb 2020 20:06:48 +0000

How can I make JsonResult return an array of arrays (without field names) rather than an array of objects? 笑着哭i 2020-02-22 04:06:48

问题

I have an IEnumerable list of date/value pairs that I am returning as a Json list to flot. However, when I call JsonResult(), the result looks like this:

[{"Date":date1, "Value":value1}, {"Date":date2, "Value":value2}...]

Flot is expecting

[[date1, value1], [date2, value2]...]

Is there any simple way to get the MVC framework to output objects like this or do I need to write my own seralizer / StringBuffer code? For that matter I don't even need to output the field names, just the values themselves.

回答1:

It sounds like you just need to return a string like this:

var builder = new StringBuilder();
builder.Append("[");
foreach (var item in listOfDateTimes)
    builder.AppendFormat("[{0}, {1}], ", item.Key, item.Value);
var result = builder.ToString().TrimEnd(new char[]{',',' '}) + "]";
return result;

回答2:

Are these date/value pairs type of System.Web.UI.Pair? If so, you can do this ;

return Json(yourIEnumerable.Select(x => new[] { x.First, x.Second }).ToArray());

It returns the way you want it to be ;

[["\/Date(1255686550232)\/","foo"],["\/Date(1255686550232)\/","bar"]]

Even if they're not type of System.Web.UI.Pair, I'm sure you get the idea.

回答3:

Your best bet is to write it yourself, but it is a trivial exercise to do.

In my mind, is it worth spending on hour looking for a way to do it, when you can spend 10 minutes and just do the serialization yourself.

来源：https://stackoverflow.com/questions/1573643/how-can-i-make-jsonresult-return-an-array-of-arrays-without-field-names-rather

标签

asp.net-mvc

json

flot

Create multidimensional object with multidimensional arrays

旧时模样 — Wed, 12 Feb 2020 07:23:02 +0000

Create multidimensional object with multidimensional arrays 旧时模样 2020-02-12 15:23:02

问题

Im trying to build a somewhat advanced "Flot" jQuery pluging graph. For that, I need a multidimensional object (or at least I think it is).

The structure should look like this:

var datasets = {
        "usa": {
            label: "USA",
            data: [[1988, 483994], [1989, 479060], [1990, 457648], [1991, 401949], [1992, 424705], [1993, 402375], [1994, 377867], [1995, 357382], [1996, 337946], [1997, 336185], [1998, 328611], [1999, 329421], [2000, 342172], [2001, 344932], [2002, 387303], [2003, 440813], [2004, 480451], [2005, 504638], [2006, 528692]]
        },        
        "russia": {
            label: "Russia",
            data: [[1988, 218000], [1989, 203000], [1990, 171000], [1992, 42500], [1993, 37600], [1994, 36600], [1995, 21700], [1996, 19200], [1997, 21300], [1998, 13600], [1999, 14000], [2000, 19100], [2001, 21300], [2002, 23600], [2003, 25100], [2004, 26100], [2005, 31100], [2006, 34700]]
        }
};

From my code-behind i've generated some lists looking like this (Not the same data, but dont mind that):

<ul id="MOBILISATION">
  <li data-key="2012/3/27">02:10</li>
  <li data-key="2012/3/28">05:25</li>
  <li data-key="2012/3/29">09:21</li>
  <li data-key="2012/3/30">00:00</li>
  <li data-key="2012/3/31">00:00</li>
</ul>
<ul id="OPERATIONS">
  <li data-key="2012/3/27">19:51</li>
  <li data-key="2012/3/28">18:35</li>
  <li data-key="2012/3/29">14:39</li>
  <li data-key="2012/3/30">07:46</li>
  <li data-key="2012/3/31">10:26</li>
</ul>

Where "USA/usa" is "MOBILISATION", "1988" is "2012/3/27" and "483994" is "02:10". You get picture!!??

I've tried writing some jQuery, but it obviously doesnt work:

    var objects = [];
    var array = [];
    var categoryName = "";
    $('div#Container ul').each(function () {
        catName = $(this).attr('id');
        $('li', this).each(function () {
            array.push([new Date($(this).data('key')).getTime(), $(this).text()]);
        });

        objects.push({ categoryName: { label: categoryName, data: array} });
    });
    var datasets = objects;

As you can see i've used push to objects array. Clearly thats not giving me the result I want. Im kindda loosing whats up and down in this, as its the first time im working with javascript/jQuery objects. Whats the best solution for this?

回答1:

Your datasets is an object, not an array - you can't push to it. Also, your variable categoryName does not work like that (read more on dot and bracket notation). Try this:

var datasets = {};
$('div#Container ul').each(function () {
    catName = this.id;
    var array = [];
    $('li', this).each(function () {
        array.push([
          new Date($(this).data('key')).getTime(),
          $(this).text()
        ]);
    });
    datasets[catName.toLowercase()] = {
        label: catName.toUppercase(),
        data: array
    };
});

Also, I'm not sure whether you really would need to create Date objects, but that depends on your in- and output format.

回答2:

Change var objects = []; to var objects = {}; and change

objects.push({ categoryName: { label: categoryName, data: array} });

objects[categoryName] = { label: categoryName, data: array};

The problem you have with JSON objects is in setting properties with a variable index. Yuo can use array notation to do that, as above.

回答3:

Try

    var data = {};
    $('div#Container ul').each(function() {
        var sub_obj = data[$(this).attr('id').toLowerCase()] = {
            label: $(this).attr('id').toUpperCase(),
            data: []
        };
        $(this).children('li').each(function() {
            sub_obj.data.push([$(this).data('key'), $(this).text()]);
        });
    });
    console.log(data);

回答4:

function convertObject(obj, key) {
    let returnObje = {};
    if (!key) key = "";
    else key = key + "_";
    Object.keys(obj).forEach(function (k1) {
        if (obj[k1] != null && typeof obj[k1] == "object") {
            returnObje = Object.assign({}, returnObje, convertObject(obj[k1], key + k1))
        } else
            returnObje[key + k1] = obj[k1];
    });
    return returnObje;
}

var hotels = { 
                     "hilton": {"name": "hilton hotel" },
                     "newton": {"name": "newton hotel"}
                 };

convertObject(hotels);

来源：https://stackoverflow.com/questions/11648586/create-multidimensional-object-with-multidimensional-arrays

标签

javascript

flot

jquery

Create multidimensional object with multidimensional arrays

╄→гoц情女王★ — Wed, 12 Feb 2020 07:21:29 +0000

Create multidimensional object with multidimensional arrays ╄→гoц情女王★ 2020-02-12 15:21:29

问题

Im trying to build a somewhat advanced "Flot" jQuery pluging graph. For that, I need a multidimensional object (or at least I think it is).

The structure should look like this:

var datasets = {
        "usa": {
            label: "USA",
            data: [[1988, 483994], [1989, 479060], [1990, 457648], [1991, 401949], [1992, 424705], [1993, 402375], [1994, 377867], [1995, 357382], [1996, 337946], [1997, 336185], [1998, 328611], [1999, 329421], [2000, 342172], [2001, 344932], [2002, 387303], [2003, 440813], [2004, 480451], [2005, 504638], [2006, 528692]]
        },        
        "russia": {
            label: "Russia",
            data: [[1988, 218000], [1989, 203000], [1990, 171000], [1992, 42500], [1993, 37600], [1994, 36600], [1995, 21700], [1996, 19200], [1997, 21300], [1998, 13600], [1999, 14000], [2000, 19100], [2001, 21300], [2002, 23600], [2003, 25100], [2004, 26100], [2005, 31100], [2006, 34700]]
        }
};

From my code-behind i've generated some lists looking like this (Not the same data, but dont mind that):

<ul id="MOBILISATION">
  <li data-key="2012/3/27">02:10</li>
  <li data-key="2012/3/28">05:25</li>
  <li data-key="2012/3/29">09:21</li>
  <li data-key="2012/3/30">00:00</li>
  <li data-key="2012/3/31">00:00</li>
</ul>
<ul id="OPERATIONS">
  <li data-key="2012/3/27">19:51</li>
  <li data-key="2012/3/28">18:35</li>
  <li data-key="2012/3/29">14:39</li>
  <li data-key="2012/3/30">07:46</li>
  <li data-key="2012/3/31">10:26</li>
</ul>

Where "USA/usa" is "MOBILISATION", "1988" is "2012/3/27" and "483994" is "02:10". You get picture!!??

I've tried writing some jQuery, but it obviously doesnt work:

    var objects = [];
    var array = [];
    var categoryName = "";
    $('div#Container ul').each(function () {
        catName = $(this).attr('id');
        $('li', this).each(function () {
            array.push([new Date($(this).data('key')).getTime(), $(this).text()]);
        });

        objects.push({ categoryName: { label: categoryName, data: array} });
    });
    var datasets = objects;

回答1:

Your datasets is an object, not an array - you can't push to it. Also, your variable categoryName does not work like that (read more on dot and bracket notation). Try this:

var datasets = {};
$('div#Container ul').each(function () {
    catName = this.id;
    var array = [];
    $('li', this).each(function () {
        array.push([
          new Date($(this).data('key')).getTime(),
          $(this).text()
        ]);
    });
    datasets[catName.toLowercase()] = {
        label: catName.toUppercase(),
        data: array
    };
});

Also, I'm not sure whether you really would need to create Date objects, but that depends on your in- and output format.

回答2:

Change var objects = []; to var objects = {}; and change

objects.push({ categoryName: { label: categoryName, data: array} });

objects[categoryName] = { label: categoryName, data: array};

The problem you have with JSON objects is in setting properties with a variable index. Yuo can use array notation to do that, as above.

回答3:

Try

    var data = {};
    $('div#Container ul').each(function() {
        var sub_obj = data[$(this).attr('id').toLowerCase()] = {
            label: $(this).attr('id').toUpperCase(),
            data: []
        };
        $(this).children('li').each(function() {
            sub_obj.data.push([$(this).data('key'), $(this).text()]);
        });
    });
    console.log(data);

回答4:

function convertObject(obj, key) {
    let returnObje = {};
    if (!key) key = "";
    else key = key + "_";
    Object.keys(obj).forEach(function (k1) {
        if (obj[k1] != null && typeof obj[k1] == "object") {
            returnObje = Object.assign({}, returnObje, convertObject(obj[k1], key + k1))
        } else
            returnObje[key + k1] = obj[k1];
    });
    return returnObje;
}

var hotels = { 
                     "hilton": {"name": "hilton hotel" },
                     "newton": {"name": "newton hotel"}
                 };

convertObject(hotels);

来源：https://stackoverflow.com/questions/11648586/create-multidimensional-object-with-multidimensional-arrays

标签

javascript

flot

jquery