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2015-12-24 10:55:17

原文地址:RRDtool中英文翻译使用手册 作者:exp07

Note: This is the print view with all the tutorial pages on one page. The paginated version is available here, if you prefer that.

RRDtool是由Tobias Oetiker 编写并由全球各地的许多人贡献的工具。本篇文档的作者是Alex van den Bogaerdt ,主要是帮助你理解RRDtool是什么,它能够帮助你作些什么。 RRDtool的文档对于有些人来说过于技术化。本教程帮助你理解RRDtool的基本概念。它为你自学RRDtool的文档做好准备。本文档还重点介绍了网络统计方面的知识。
Please don't skip ahead in this document! The first part of this document explains the basics and may be boring. But if you don't understand the basics, the examples will not be as meaningful to you.

RRDtool refers to Round Robin Database tool. Round robin is a technique that works with a fixed amount of data, and a pointer to the current element. Think of a circle with some dots plotted on the edge -- these dots are the places where data can be stored. Draw an arrow from the center of the circle to one of the dots -- this is the pointer. When the current data is read or written, the pointer moves to the next element. As we are on a circle there is neither a beginning nor an end, you can go on and on and on. After a while, all the available places will be used and the process automatically reuses old locations. This way, the dataset will not grow in size and therefore requires no maintenance. RRDtool works with with Round Robin Databases (RRDs). It stores and retrieves data from them.

RRDtool是指Round Robin Database 工具(环状数据库)。Round robin是一种处理定量数据、以及当前元素指针的技术。想象一个周边标有点的圆环--这些点就是时间存储的位置。从圆心画一条到圆周的某个点的箭头--这就是指针。就像我们在一个圆环上一样,没有起点和终点,你可以一直往下走下去。过来一段时间,所有可用的位置都会被用过,该循环过程会自动重用原来的位置。这样,数据集不会增大,并且不需要维护。RRDtool处理RRD数据库。它用向RRD数据库存储数据、从RRD数据库中提取数据。
You name it, it will probably fit as long as it is some sort of time-series data. This means you have to be able to measure some value at several points in time and provide this information to RRDtool. If you can do this, RRDtool will be able to store it. The values must be numerical but don't have to be integers, as is the case with MRTG (the next section will give more details on this more specialized application).

Many examples below talk about SNMP which is an acronym for Simple Network Management Protocol. Simple refers to the protocol -- it does not mean it is simple to manage or monitor a network. After working your way through this document, you should know enough to be able to understand what people are talking about. For now, just realize that SNMP can be used to query devices for the values of counters they keep. It is the value from those counters that we want to store in the RRD.

RRDtool originated from MRTG (Multi Router Traffic Grapher). MRTG started as a tiny little script for graphing the use of a university's connection to the Internet. MRTG was later (ab-)used as a tool for graphing other data sources including temperature, speed, voltage, number of printouts and the like.

Most likely you will start to use RRDtool to store and process data collected via SNMP. The data will most likely be bytes (or bits) transfered from and to a network or a computer. But it can also be used to display tidal waves, solar radiation, power consumption, number of visitors at an exhibition, noise levels near an airport, temperature on your favorite holiday location, temperature in the fridge and whatever you imagination can come up with.

You only need a sensor to measure the data and be able to feed the numbers into RRDtool. RRDtool then lets you create a database, store data in it, retrieve that data and create graphs in PNG format for display on a web browser. Those PNG images are dependent on the data you collected and could be, for instance, an overview of the average network usage, or the peaks that occurred.

First of all: read it again! You may have missed something. If you are unable to compile the sources and you have a fairly common OS, it will probably not be the fault of RRDtool. There may be pre-compiled versions around on the Internet. If they come from trusted sources, get one of those.

If on the other hand the program works but does not give you the expected results, it will be a problem with configuring it. Review your configuration and compare it with the examples that follow.

There is a mailing list and an archive of it. Read the list for a few weeks and search the archive. It is considered rude to just ask a question without searching the archives: your problem may already have been solved for somebody else! This is true for most, if not all, mailing lists and not only for this particular one. Look in the documentation that came with RRDtool for the location and usage of the list.

I suggest you take a moment to subscribe to the mailing list right now by sending an email to with a subject of subscribe . If you ever want to leave this list, just write an email to the same address but now with a subject of unsubscribe .

我建议你马上就花点时间订阅邮件列表,只要发送一封主题为 subscribe 的邮件到 就可以了。如果要退定该邮件列表,只需要发送主题为 unsubscribe 到同样的地址即可。
In my opinion the best way to learn something is to actually do it. Why not start right now? We will create a database, put some values in it and extract this data again. Your output should be the same as the output that is included in this document.

We will start with some easy stuff and compare a car with a router, or compare kilometers (miles if you wish) with bits and bytes. It's all the same: some number over some time.

Assume we have a device that transfers bytes to and from the Internet. This device keeps a counter that starts at zero when it is turned on, increasing with every byte that is transfered. This counter will probably have a maximum value. If this value is reached and an extra byte is counted, the counter starts over at zero. This is the same as many counters in the world such as the mileage counter in a car.

Most discussions about networking talk about bits per second so lets get used to that right away. Assume a byte is eight bits and start to think in bits not bytes. The counter, however, still counts bytes! In the SNMP world most of the counters are 32 bits. That means they are counting from 0 to 4'294'967'295. We will use these values in the examples. The device, when asked, returns the current value of the counter. We know the time that has passes since we last asked so we now know how many bytes have been transfered *on average* per second. This is not very hard to calculate. First in words, then in calculations:

关于网络的讨论通常用每秒比特数来衡量,因此我们要习惯这种用法。把一个字节看成是8个比特,并且开始用比特而不是字节来思考问题。不过,计数器仍然用字节数为单位来计量!在SNMP世界里,大部分的计数器都是32比特的。这就意味着他们计数范围是0-4294967。我们在例子里会用到这些数值。该设备在被查询时,会返回计数器的当前值。我们知道从上次查询设备开始到现在的时间,因此我们现在就知道每秒 平均 传输了多少字节数。这不难计算。首先用文字来描述,然后计算:
Take the current counter, subtract the previous value from it.
Do the same with the current time and the previous time (in seconds).
Divide the outcome of (1) by the outcome of (2), the result is the amount of bytes per second. Multiply by eight to get the number of bits per second (bps).
bps = (counter_now - counter_before) / (time_now - time_before) * 8

For some people it may help to translate this to an automobile example. Do not try this example, and if you do, don't blame me for the results!

People who are not used to think in kilometers per hour can translate most into miles per hour by dividing km by 1.6 (close enough). I will use the following abbreviations:

M: meter
KM: kilometer (= 1'000 meters).
H: hour
S: second
KM/H: kilometers per hour
M/S: meters per second
M : 米
KM: 公里(1000米)
H: 小时
S: 秒
M/S: 米/秒
You are driving a car. At 12:05 you read the counter in the dashboard and it tells you that the car has moved 12'345 KM until that moment. At 12:10 you look again, it reads 12'357 KM. This means you have traveled 12 KM in five minutes. A scientist would translate that into meters per second and this makes a nice comparison toward the problem of (bytes per five minutes) versus (bits per second).

We traveled 12 kilometers which is 12'000 meters. We did that in five minutes or 300 seconds. Our speed is 12'000M / 300S or 40 M/S.

We could also calculate the speed in KM/H: 12 times 5 minutes is an hour, so we have to multiply 12 KM by 12 to get 144 KM/H. For our native English speaking friends: that's 90 MPH so don't try this example at home or where I live :)

我们可以用公里/小时来计算速度:12乘以5分钟就是一个小时,因此我们必须把12公里乘以12得到144公里/小时。对于和我一样说英语的朋友来说,就是90英里/小时,因此不要在家里或我生活的地方尝试这个速度 :)
Remember: these numbers are averages only. There is no way to figure out from the numbers, if you drove at a constant speed. There is an example later on in this tutorial that explains this.

I hope you understand that there is no difference in calculating M/S or bps; only the way we collect the data is different. Even the K from kilo is the same as in networking terms k also means 1'000.

We will now create a database where we can keep all these interesting numbers. The method used to start the program may differ slightly from OS to OS, but I assume you can figure it out if it works different on your's. Make sure you do not overwrite any file on your system when executing the following command and type the whole line as one long line (I had to split it for readability) and skip all of the '' characters.

我们现在要创建一个数据库,在此数据库中我们能够保存所有这些有趣的数字。启动这个程序的方法可能在各个操作系统上各不相同,但是我假设你可以搞清楚它是否与你的操作系统不同,键入下面的行作为一个长长的行(为了可读性,我得把他分成几行)并且用 \ 来风格。
rrdtool create test.rrd \
--start 920804400 \
DS:speed:COUNTER:600:U:U \
RRA:AVERAGE:0.5:1:24 \

(So enter: rrdtool create test.rrd --start 920804400 DS ...)

因此实际键入的内容为:rrdtool create test.rrd --start 920804400 DS ...
We created the round robin database called test (test.rrd) which starts at noon the day I started writing this document, 7th of March, 1999 (this date translates to 920'804'400 seconds as explained below). Our database holds one data source (DS) named speed that represents a counter. This counter is read every five minutes (default). In the same database two round robin archives (RRAs) are kept, one averages the data every time it is read (e.g., there's nothing to average) and keeps 24 samples (24 times 5 minutes is 2 hours). The other averages 6 values (half hour) and contains 10 such averages (e.g., 5 hours).

我们创建的rrd数据库名为test (test.rrd), 它的起始时间是我写这篇文档的当天下午,也就是1999年3月7日(该日期转换成920804400秒)。我们的数据库存放一个名为 'speed' 的数据源(DS),它表示一个计数器。该计数器每5分钟(缺省)读取一次。在同一个数据库中,保存有2个环状归档(RRA),一个是每次读取时的平均数据(例如:没有东西进行平均)并保留24个样本(24乘以5分钟是2小时)。另一个RRA有6个平均值(半小时)并包含10个这样的平均值(例如5个小时)。
RRDtool works with special time stamps coming from the UNIX world. This time stamp is the number of seconds that passed since January 1st 1970 UTC. The time stamp value is translated into local time and it will therefore look different for different time zones.

Chances are that you are not in the same part of the world as I am. This means your time zone is different. In all examples where I talk about time, the hours may be wrong for you. This has little effect on the results of the examples, just correct the hours while reading. As an example: where I will see 12:05 the UK folks will see 11:05 .

可能你不是和我在地球的同一个地方。这就是说时区不同。在所有的例子中,我所说的时间当中,小时可能对你来说是错误的。这对这些例子中的结果有一点影响,在阅读时,只需要修正时间中的小时即可。例如:我看到 12:05 的话,在英国的家伙看到的时间就是 11:05 。
We now have to fill our database with some numbers. We'll pretend to have read the following numbers:

12:05 12345 KM
12:10 12357 KM
12:15 12363 KM
12:20 12363 KM
12:25 12363 KM
12:30 12373 KM
12:35 12383 KM
12:40 12393 KM
12:45 12399 KM
12:50 12405 KM
12:55 12411 KM
13:00 12415 KM
13:05 12420 KM
13:10 12422 KM
13:15 12423 KM

We fill the database as follows:

rrdtool update test.rrd 920804700:12345 920805000:12357 920805300:12363
rrdtool update test.rrd 920805600:12363 920805900:12363 920806200:12373
rrdtool update test.rrd 920806500:12383 920806800:12393 920807100:12399
rrdtool update test.rrd 920807400:12405 920807700:12411 920808000:12415
rrdtool update test.rrd 920808300:12420 920808600:12422 920808900:12423

This reads: update our test database with the following numbers

time 920804700, value 12345
time 920805000, value 12357


As you can see, it is possible to feed more than one value into the database in one command. I had to stop at three for readability but the real maximum per line is OS dependent.

We can now retrieve the data from our database using rrdtool fetch :

我们可以使用 rrdtool fetch 命令从数据库中提取数据。
rrdtool fetch test.rrd AVERAGE --start 920804400 --end 920809200

It should return the following output:


920804700: nan
920805000: 4.0000000000e-02
920805300: 2.0000000000e-02
920805600: 0.0000000000e+00
920805900: 0.0000000000e+00
920806200: 3.3333333333e-02
920806500: 3.3333333333e-02
920806800: 3.3333333333e-02
920807100: 2.0000000000e-02
920807400: 2.0000000000e-02
920807700: 2.0000000000e-02
920808000: 1.3333333333e-02
920808300: 1.6666666667e-02
920808600: 6.6666666667e-03
920808900: 3.3333333333e-03
920809200: nan

If it doesn't, something may be wrong. Perhaps your OS will print NaN in a different form. NaN stands for Not A Number. If your OS writes U or UNKN or something similar that's okay. If something else is wrong, it will probably be due to an error you made (assuming that my tutorial is correct of course :-). In that case: delete the database and try again. Sometimes things change. This example used to provide numbers like 0.04 in stead of 4.00000e-02. Those are really the same numbers, just written down differently. Don't be alarmed if a future version of rrdtool displays a slightly different form of output. The examples in this document are correct for version 1.2.0 of RRDtool.

如果不是像上面的输出结果,可能哪里有错误。也许你的操作系统会打印出不同的格式 NaN 。 NaN 表示 非数字 。 如果你的操作系统输出 U 或 UNKN 或者其他类似东西都是正常的。如果其他地方错误,可能是因为你的过程中的那些步骤出错了(当然假设我的教程是完全正确的 :-))。这样的话,删除数据库文件然后再重新尝试。 有时事情就会变化。本例哟难道的数据像 0.04 而不是 4.0000e-02 。这些实际上是一样的数字,只是写法不同而已。如果rrdtool今后的版本显示略有不同是输出也不要大惊小怪。本文档中的例子对于RRDtool 1.2.0版本都是正确的。
The meaning of the above output will become clear below.

Try the following command:


rrdtool graph speed.png \
--start 920804400 --end 920808000 \
DEF:myspeed=test.rrd:speed:AVERAGE \

This will create speed.png which starts at 12:00 and ends at 13:00. There is a definition of a variable called myspeed, using the data from RRA speed out of database test.rrd . The line drawn is 2 pixels high and represents the variable myspeed. The color is red (specified by its rgb-representation, see below).

该命令会创建名为speed.png的图像文件,该图像从12:00开始,到13:00。有一个名为myspeed的变量定义,它使用来自 test.rrd数据库的 speed RRA中的数据。绘制的线条是2像素高,表示myspeed变量。颜色是红色的(用rgb-表示法指定,见下文).
You'll notice that the start of the graph is not at 12:00 but at 12:05. This is because we have insufficient data to tell the average before that time. This will only happen when you miss some samples, this will not happen a lot, hopefully.

If this has worked: congratulations! If not, check what went wrong.

The colors are built up from red, green and blue. For each of the components, you specify how much to use in hexadecimal where 00 means not included and FF means fully included. The color white is a mixture of red, green and blue: FFFFFF The color black is all colors off: 000000

red #FF0000
green #00FF00
blue #0000FF
magenta #FF00FF (mixed red with blue)
gray #555555 (one third of all components)

Additionally you can add an alpha channel (transparency). The default will be FF which means non-transparent.

The PNG you just created can be displayed using your favorite image viewer. Web browsers will display the PNG via the URL file:///the/path/to/speed.png .

刚才创建的PNG文件可以用你喜欢的图像查看器来显示。通过URL file:///the/path/to/speed.png 可以在Web浏览器中显示该PNG图像。
When looking at the image, you notice that the horizontal axis is labeled 12:10, 12:20, 12:30, 12:40 and 12:50. Sometimes a label doesn't fit (12:00 and 13:00 would be candidates) so they are skipped.

查看图像时,你会注意到横轴下标为 12:10、12:20、12:30、12:40、12:59。有时某些下标不适合(可能是12:00和13:00)会被忽略掉。
The vertical axis displays the range we entered. We provided kilometers and when divided by 300 seconds, we get very small numbers. To be exact, the first value was 12 (12'357-12'345) and divided by 300 this makes 0.04, which is displayed by RRDtool as 40 m meaning 40/1'000. The m (milli) has nothing to do with meters, kilometers or millimeters! RRDtool doesn't know about the physical units of our data, it just works with dimensionless numbers.

纵轴显示我们输入的范围。下面提供的公里数,以及除以300妙的结果,我们得到非常小的数值。为了更加精确,第一个值是12(12567-12456),除以300后得到0.04,RRDtool显示时为 40m 表示 40/1000 。 其中的 m 与米、公里、或者毫米都没有任何关系!RRDtool不知道我们的数据单位,它只处理没有单位的数据。
If we had measured our distances in meters, this would have been (12'357'000-12'345'000)/300 = 12'000/300 = 40.

如果我们用米来衡量我们的距离,就会是这样:(12'357'000-12'345'000)/300 = 12'000/300 = 40.
As most people have a better feel for numbers in this range, we'll correct that. We could recreate our database and store the correct data, but there is a better way: we do some calculations while creating the png file!

rrdtool graph speed2.png \
--start 920804400 --end 920808000 \
--vertical-label m/s \
DEF:myspeed=test.rrd:speed:AVERAGE \
CDEF:realspeed=myspeed,1000,\* \

Note: Make sure not to forget the backslash in front of the multiplication operator * above. The backslash is needed to escape the * as some operating systems might interpret and expand * instead of passing it to the rrdtool command.

注意:不要忘记操作符 * 后面的 。这个反斜杆用来将*从操作系统可能解释的符号转义,而不是直接传递给rrdtool命令。
After viewing this PNG, you notice the m (milli) has disappeared. This it what the correct result would be. Also, a label has been added to the image. Apart from the things mentioned above, the PNG should look the same.

在查看PNG文件后,你会注意到 m 不见了。正确的结果就是这样。同样,在图像中加入了一个标注。出了上面提到的几点外,PNG看起来应当是一样的。
The calculations are specified in the CDEF part above and are in Reverse Polish Notation ( RPN ). What we requested RRDtool to do is: take the data source myspeed and the number 1000; multiply those . Don't bother with RPN yet, it will be explained later on in more detail. Also, you may want to read my tutorial on CDEFs and Steve Rader's tutorial on RPN. But first finish this tutorial.

计算是在CDEF部分中指定的,使用逆波兰表达式( RPN )表示的。我们要求RRDtool所作的事情是:`取数据源myspeed, 以及数值1000;把他们相乘` 。在此不要被RPN表达式困扰了,后面会详细介绍。同时,你可能想读一读关于CDEF的教程。以及Steve Rader的RPN表达式的教程。不过哦首先看我这篇教程吧。
Hang on! If we can multiply values with 1'000, it should also be possible to display kilometers per hour from the same data!

To change a value that is measured in meters per second:

计算米/小时: value * 3'600
计算公里/小时: value / 1'000
合起来: value * (3'600/1'000) 或者 value * 3.6

In our example database we made a mistake and we need to compensate for this by multiplying with 1'000. Applying that correction:

value * 3.6 * 1'000 == value * 3'600

Now let's create this PNG, and add some more magic ...

rrdtool graph speed3.png \
--start 920804400 --end 920808000 \
--vertical-label km/h \
DEF:myspeed=test.rrd:speed:AVERAGE \
"CDEF:kmh=myspeed,3600,*" \
CDEF:fast=kmh,100,GT,kmh,0,IF \
CDEF:good=kmh,100,GT,0,kmh,IF \
HRULE:100#0000FF:"Maximum allowed" \
AREA:good#00FF00:"Good speed" \
AREA:fast#FF0000:"Too fast"

Note: here we use another means to escape the * operator by enclosing the whole string in double quotes.

This graph looks much better. Speed is shown in KM/H and there is even an extra line with the maximum allowed speed (on the road I travel on). I also changed the colors used to display speed and changed it from a line into an area.

The calculations are more complex now. For speed measurements within the speed limit they are:

检查公里/小时是否大于100 ( kmh,100 ) GT
如果是,返回0,否则返回公里/小时。 ((( kmh,100 ) GT ), 0, kmh) IF

For values above the speed limit:

检查公里/小时是否大于100 ( kmh,100 ) GT
如果是,返回公里/小时,否则返回0。 ((( kmh,100) GT ), kmh, 0) IF

I like to believe there are virtually no limits to how RRDtool graph can manipulate data. I will not explain how it works, but look at the following PNG:

rrdtool graph speed4.png \
--start 920804400 --end 920808000 \
--vertical-label km/h \
DEF:myspeed=test.rrd:speed:AVERAGE \
"CDEF:kmh=myspeed,3600,*" \
CDEF:fast=kmh,100,GT,100,0,IF \
CDEF:over=kmh,100,GT,kmh,100,-,0,IF \
CDEF:good=kmh,100,GT,0,kmh,IF \
HRULE:100#0000FF:"Maximum allowed" \
AREA:good#00FF00:"Good speed" \
AREA:fast#550000:"Too fast" \
STACK:over#FF0000:"Over speed"

Let's create a quick and dirty HTML page to view the three PNGs:

Speed in meters per second

Speed in kilometers per hour

Traveled too fast?

Name the file speed.html or similar, and look at it in your web browser.

把这个文件命名为 speed.html 或者类似的文件名,在浏览器中看看。
Now, all you have to do is measure the values regularly and update the database. When you want to view the data, recreate the PNGs and make sure to refresh them in your browser. (Note: just clicking reload may not be enough, especially when proxies are involved. Try shift-reload or ctrl-F5).

现在,你所需要做的只有按照常规的方式度量数值,然后更新数据库。当你想查看数据时,重新创建PNG,确定在浏览器中刷新它们。(注意,点击刷新是不够的,特别是在有proxy代理服务器的情况下,试一试 shift-reload 或者ctrl-F5).
We've already used the update command: it took one or more parameters in the form of
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