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# Tag: mycheckpoint

## mycheckpoint, discontinued

MySQL Monitoring mycheckpoint March 6, 2014

Time to admit to myself: mycheckpoint has to be discontinued.

I started mycheckpoint back in 2009, as a free & open source lightweight monitoring tool for MySQL. Over some years it evolved and became an actual (lightweight) monitoring solution, used by many. It has a unique and original design, which, alas, is also its bane.

mycheckpoint uses the relational model & SQL to store and query monitored metrics. This leads to quite a sophisticated service, which can make practically anything visible to the user. The raw data is just numbers. but with some SQL-Fu one can generate charts out of it, (interactive ones as well), human readable reports and full blown email messages. It is still the only common solution I’m aware of that keeps track of variable changes and provides with clear “what changed, when, from value & to_value”. I caught many deployment bugs by just observing this. It’s a single file that provides with full blown HTTP service, alerting, mail notifications, multi-database monitoring, custom monitoring queries, query execution time monitoring, OS metrics, …

While developing mycheckpoint I learned a lot on MySQL status & configuration, complex SQL queries, Python, linux, packaging and more. I got a lot of feedback from users, as I still do (thank you!). Didn’t always manage to fix all bugs or answer all questions.

The design of mycheckpoint does not meet today’s reality. Heck, today there are more counters & variables than possible table columns. The schema-per-monitored-instance design makes for simplicity, but does not fare well with dozens or hundreds of servers to monitor. There is no cross-instance aggregation or visualization of data. The per-10 minute aggregation is too rough. There isn’t a test suite.

Some of the above issues can be fixed, and if you like, the source code is still freely available. I’ll even migrate the entire SVN to GitHub at some stage. But I believe the current state might only be good for small scale deployments; not something you would consider to scale up with.

For me, there’s nothing more motivating in code development than knowing the code will go public. The efforts in making the code look as best it can, as easily deployable as possibly can, with good documentation, makes for a lot of effort – but very satisfying. Open Source FTW!!!1

## mycheckpoint revision 231 released

MySQL Development Monitoring mycheckpoint Open Source May 23, 2013May 23, 2013

A new release for mycheckpoint: lightweight, SQL oriented MySQL monitoring solution.

If you’re unfamiliar with mycheckpoint, well, the one minute sales pitch is: it’s a free and open source monitoring tool for MySQL, which is extremely easy to install and execute, and which includes custom queries, alerts (via emails), and out of the box HTTP server and charting.

This is mostly a maintenance release, with some long-time requested features, and of course solved bugs. Here are a few highlights:

- Supports MariaDB and MySQL 5.6 (issues with new variables, space padded variables, text-valued variables)
- Supports alerts via function invocation on monitored host (so not only checking alerts via aggregated data like ‘Seconds_behind_master’ but also by SELECT my_sanity_check_function() on monitored instance). See alerts.
- Supports single-running-instance via “–single” command line argument
- Supports strict sql_mode, including ONLY_FULL_GROUP_BY, overcoming bug #69310.
- Supports sending of pending email HTML report
- Better re-deployment process
- Better recognizing of SIGNED/UNSIGNED values
- Some other improvements in charting, etc.

mycheckpoint is released under the BSD license.

Downloads are available from the project’s page.

## MySQL monitoring: storing, not caching

MySQL Monitoring mycheckpoint February 22, 2012

I’ve followed with interest on Baron’s Why don’t our new Nagios plugins use caching? and Sheeri’s Caching for Monitoring: Timing is Everything. I wish to present my take on this, from mycheckpoint‘s point of view.

So mycheckpoint works in a completely different way. On one hand, it doesn’t bother with caching. On the other hand, it doesn’t bother with re-reads of data.

There are no staleness issues, the data is consistent as it can get (you can never get a completely atomic read of everything in MySQL), and you can issue as many calculations as you want at the price of one take of monitoring. As in Sheere’s example, you can run Threads_connected/max_connections*100, mix status variables, system variables, meta-variables (e.g. Seconds_behind_master), user-created variables (e.g. number of purchases in your online shop) etc.

mycheckpoint‘s concept is to store data. And store it in relational format. That is, INSERT it to a table.

A sample-run generates a row, which lists all status, server, OS, user, meta variables. It’s a huge row, with hundreds of columns. Columns like threads_connected, max_connections, innodb_buffer_pool_size, seconds_behind_master, etc.

mycheckpoint hardly cares about these columns. It identifies them dynamically. Have you just upgraded to MySQL 5.5? Oh, there’s a new bunch of server and status variables? No problem, mycheckpoint will notice it doesn’t have the matching columns and will add them via ALTER TABLE. There you go, now we have a place to store them.

Running a formula like Threads_connected/max_connections*100 is as easy as issuing the following query:

>     SELECT Threads_connected/max_connections*100 FROM status_variables WHERE id = ...

Hmmm. This means I can run this formula on the most recent row I’ve just added. But wait, this also means I can run this formula on any row I’ve ever gathered. Continue reading » “MySQL monitoring: storing, not caching”

## Documentation in SQL: CALL for help()

Development MySQL common_schema documentation mycheckpoint Open Source openark kit Stored routines January 11, 2012

Documentation is an important part of any project. On the projects I maintain I put a lot of effort on documentation, and, frankly, the majority of time spent on my projects is on documentation.

The matter of keeping the documentation faithful is a topic of interest. I’d like to outline a few documentation bundling possibilities, and the present the coming new documentation method for common_schema. I’ll talk about any bundling that is NOT man pages.

#### High level: web docs

This is the initial method of documentation I used for openark kit and mycheckpoint. It’s still valid for mycheckpoint. Documentation is web-based. You need Internet access to read it. It’s in HTML format.

Well, not exactly HTML format: I wrote it in WordPress. Yes, it’s HTML, but there’s a lot of noise around (theme, menus, etc.) which is not strictly part of the documentation.

While this is perhaps the easiest way to go, here’s a few drawbacks: Continue reading » “Documentation in SQL: CALL for help()”

## Generating Google line charts with SQL, part II

MySQL Graphs mycheckpoint SQL March 3, 2011March 3, 2011

This post continues Generating Google line charts with SQL, part I, in pursue of generating time series based image charts.

We ended last post with the following chart:

>     http://chart.apis.google.com/chart?cht=lc&chs=400x200&chtt=SQL%20chart&chxt=x,y&chxr=1,-4716.6,5340.0&chd=s:dddddddddeeeeeefffffffffeeeedddcccbbaaZZZYYYXXXXXXXXXYYYZZabbcdeefghhijkkllmmmmmmmmllkkjihgfedcbZYXWVUTSRRQQPPPPQQQRSTUVWXZacdfgijlmnpqrssttuuuttssrqonmkigfdbZXVTSQONMLKJIIIIIIJKLMOPRTVXZbegilnprtvwyz01111110zyxvtrpnkifcaXUSPNLJHFECBBAAABBCEFHJLNQTWZcfilortwy1346789999876420yvspmjfcYVSOL

which has a nice curve, and a proper y-legend, but incorrect x-legend and no ticks nor grids.

To date, Google Image Charts do not support time-series charts. We can’t just throw timestamp values and expect the chart to properly position them. We need to work these by hand.

This is not easily done; if our input consists of evenly spread timestamp values, we are in a reasonable position. If not, what do we do?

There are several solutions to this:

- We can present whatever points we have on the chart, making sure to position them properly. This makes for an uneven distribution of ticks on the x-axis, and is not pleasant to watch.
- We can extrapolate values for round hours (or otherwise round timestamp resolutions), and so show evenly spread timestamps. I don’t like this solution one bit, since we’re essentially inventing values here. Extrapolation is nice when you know you have nice curves, but not when you’re doing database monitoring, for example. You must have the precise values.
- We can do oversampling, then group together several measurements within round timestamp resolutions. For example, we can make a measurement every 2 minutes, yet present only 6 measurements per hour, each averaging up 10 round minutes. This is the approach I take with mycheckpoint.

The latest approach goes even beyond that: what if we missed 30 minutes of sampling? Say the server was down. We then need to “invent” the missing timestamps. Note that we invent the timestamps, we do not invent values. We must present the chart with missing values on our invented timestamps.

I may show how to do this in a future post. Meanwhile, let’s simplify and assume our values are evenly spread. Continue reading » “Generating Google line charts with SQL, part II”

## Generating Google line charts with SQL, part I

MySQL Graphs mycheckpoint SQL February 1, 2011March 3, 2011

In this series of posts I wish to show how Google Charts can be generated via SQL. We discuss the Google Charts limitations which must be challenged, and work towards a simple chart.

I’m going to present the algorithm I use in mycheckpoint, a MySQL monitoring utility, which generates Google charts by raw data using views. An example of such chart follows:

>     http://chart.apis.google.com/chart?cht=lc&chs=370x180&chts=303030,12&chtt=Latest+24+hours:+Nov+9,+05:50++-++Nov+10,+05:50&chf=c,s,ffffff&chdl=Rentals+rate:+custom_1_psec&chdlp=b&chco=ff8c00&chd=s:GDGKGFLFGMJHRLMPPNULJRPLTOPRUMYPPVRNbQUSUSbSNWUOfSWTObVSUVWSVYVPbTPjfTbRTdXReUWhcTQRQZbTWYVYPaVZXdYYWPTabYUTbW99QLgLNIOIRNNMIKRJEHGFHGJGGFIFDFGDK&chxt=x,y&chxr=1,0,8.720000&chxl=0:|+||08:00||+||12:00||+||16:00||+||20:00||+||00:00||+||04:00||&chxs=0,505050,10,0,lt&chg=4.17,25,1,2,0.69,0&chxp=0,0.69,4.86,9.03,13.20,17.37,21.54,25.71,29.88,34.05,38.22,42.39,46.56,50.73,54.90,59.07,63.24,67.41,71.58,75.75,79.92,84.09,88.26,92.43,96.60&tsstart=2010-11-09+05:50:00&tsstep=600

mycheckpoint does not actually call on Google to do the chart rendering, but invokes its own JavaScript code to visualize the URL locally.

Here are some downsides for using Google charts:

- The URL cannot be as long as you like. 2048 characters is an upper bound you’ll want to keep behind. [Google charts POST method calls are available, which leads to 16K equivalent of URL length — this is still not too helpful due to the nature of POST calls]
- Features are inconsistent. To specify label or tick positions, one must specify exact positions. To specify grid positions, one must supply with step, offset, etc. There are more such inconsistencies.
- Google charts are not too friendly. Taking the ticks and grids example from above, there really shouldn’t be a reason why grids would not be automatically generated according to ticks definitions. But we are required to specify positions for the ticks as well as for the grids.
- There is no support for time-series. One must translate time as x-axis values.
- Perhaps most intimidating to many people: to generate a Google chart, once must send data to Google. Which is the main reason I used local JavaScript rendering.

Anyway, let’s build a very simple chart. Since I will not cover everything in this post, we make for some relaxed conditions. Continue reading » “Generating Google line charts with SQL, part I”

## mycheckpoint (rev 208): aggregation tables, enhanced charting, RPM distribution

MySQL Monitoring mycheckpoint Open Source python scripts Web November 8, 2010

Revision 208 of mycheckpoint, a MySQL monitoring solution, has been released. New and updated in this revision:

- Aggregation tables: aggregated data makes for fast reports on previously slow queries.
- Enhanced charting: interactive charts now present time stamps dynamically (see demo); “Zoom in” charts are available (see demo) on mycheckpoint‘s HTTP server.
- RPM distribution: a “noarch” RPM mycheckpoint build is now available.
- Initial work on formalizing test environment

mycheckpoint celebrates one year of existence!

#### Aggregation tables

I really wanted to avoid using these: everything was so more beautiful with one single dataset and dozens of supporting views (OK, the views themselves are hardly “beautiful”).

However it was impossible (for my level of expertise) to optimize query performance what with all those views on per-hour and per-day aggregation. The GROUP BYs and the JOINs did not make it possible for condition pushdown (i.e. using MERGE algorithm) where desired.

As result, mycheckpoint now manages aggregation tables: per-hour and per-day. The impact on sample taking is neglect able (making for two additional fast queries), but the impact on reading aggregated data is overwhelming. Generating a HTML full report could take a few minutes to complete. It now returns in no time. This makes charting more attractive, and allows for enhanced charting, such as zooming in on charts, as described following.

Aggregation tables will automatically be created and retroactively populated upon using revision 208. There’s nothing special to do; be advised that for one single execution of mycheckpoint, many INSERT queries are going to be executed. Shouldn’t take more than a couple minutes on commodity hardware and a few months of history.

It is possible to disable aggregation tables, or make for a complete rebuild of tables; by default, though, aggregation is ON.

#### Enhanced charting

Two enhancements here: Continue reading » “mycheckpoint (rev 208): aggregation tables, enhanced charting, RPM distribution”

## openark-kit, Facebook Online Schema Change, and thoughts on open source licenses

MySQL mycheckpoint Open Source openark kit Opinions September 16, 2010

MySQL@Facebook team have recently published an Online Schema Change code for non blocking ALTER TABLE operations. Thumbs Up!

The code is derived from oak-online-alter-table, part of openark-kit, a toolkit I’m authoring. Looking at the documentation I can see many ideas were incorporated as well. And of course many things are different, a lot of work has been put to it by MySQL@Facebook.

openark-kit is currently released under the new BSD license, and, as far as I can tell (I’m not a lawyer), Facebook’s work has followed the license to the letter. It is a strange thing to see your code incorporated into another project. While I knew work has begun on the tool by Facebook, I wasn’t in on it except for a few preliminary email exchanges.

#### And this is the beauty

You release code under open source license, and anyone can pick it up and continue working on it. One doesn’t have to ask or even let you know. Eventually one may release back to the community improved code, more tested (not many comments on oak-online-alter-table in the past 18 months).

It is a beauty, that you can freely use one’s patches, and he can then use yours.

#### And here is my concern

When I created both openark-kit and mycheckpoint, I licensed them under the BSD license. A very permissive license. Let anyone do what they want with it, I thought. However Facebook’s announcement suddenly hit me: what license would other people use for their derived work?

The OSC has been release under permissive license back to the community (again, I am not a lawyer). But, someone else could have made it less friendly. Perhaps not release the code at all: just sell it, closed-source, embedded in their product. And I found out that I do not want anyone to do whatever they want with my code.

#### I want all derived work to remain open!

Which is why in next releases of code I’m authoring the license will change to less permissive and more open license, such as GPL or LGPL. (Of course, all code released so far remains under the BSD license).

## mycheckpoint (rev. 190): HTTP server; interactive charts

MySQL Monitoring mycheckpoint Open Source python scripts Web September 7, 2010

Revision 190 of mycheckpoint, a MySQL monitoring solution, has been released. New and updated in this revision:

- HTTP server: mycheckpoint can now act as a web server. Point your browser and start browsing through HTML reports. See mock up demo.
- Interactive charts: HTML line charts are now interactive, presenting with accurate data as you move over them. See sample.
- Enhanced auto-deploy: now auto-recognizing failed upgrades.
- Reduced footprint: much code taken out of the views, leading to faster loading times.
- Better configuration file use: now supporting all command line options in config file.
- Remote host monitoring accessibility: now supporting complete configurable accessibility details.
- Bug fixes: thanks to the bug reporters!

mycheckpoint is free, simple, easy to use (now easier with HTTP server) and useful. I encourage you to try it out: even compared with other existing and emerging monitoring tools, I believe you will find it a breeze; it’s low impact and lightness appealing; it’s alerts mechanism assuring; its geeky SQL-based nature with ability to drill down to fine details — geeky-kind-of-attractive.

#### HTTP server

You can now run mycheckpoint in http mode:

>     bash$ mycheckpoint http

mycheckpoint will listen on port 12306, and will present you with easy browsing through the reports of your mycheckpoint databases. Continue reading » “mycheckpoint (rev. 190): HTTP server; interactive charts”

## mycheckpoint (rev. 170): improved custom queries; local charting; page/swap I/O monitoring; improved HTML reports

MySQL Graphs Linux Monitoring mycheckpoint Open Source July 16, 2010July 16, 2010

Revision 170 of mycheckpoint, a MySQL monitoring solution, has been released. New and updated in this revision:

- Improved custom queries: lifting of limitations from previous, introductory revision; better HTML presentation
- Local, inline charting: no rendering of Google Charts, unless explicitly requested. All charts are now rendered locally using JavaScript. No data is now sent over the network.
- Page/Swap I/O monitoring: now monitoring for page ins and outs, swap ins and outs (Linux only).
- Improved HTML reports: several improvements on presentation (see sample, more follow).

#### Improved custom queries

Some limitations, introduced in revision 132, are now lifted. New features are introduced.

- There is now no limit to the number of custom queries (well, an INT limit).
- In fact, the data tables adjust themselves to the existing custom queries in the form of auto-deploy: once a new custom query is added or an old one removed, mycheckpoint will add or remove the relevant columns from the data tables.
- The chart_order column is now utilized: HTML reports which include custom query charts now order those charts according to chart_order values. This makes for nicer reports.
- The standard HTML brief report (SELECT html FROM sv_report_html_brief) now automatically includes all custom charts. The HTML brief report is the report one usually wants to look at: it provides with the latest 24 hours metrics for selected values. It now becomes a centralized place for all that is interesting in the past 24 hours.
- Custom queries are now allowed to return NULL, treated as a missing value. This is a bugfix from previous revisions.

#### Local charting

Motivation for local charting is clear: no one likes having their data being sent over the network. And no one likes Google to know about their DML values.

I’ve been playing around with quite a few charting solutions, and have gone into depths with two of them, adding and rewriting quite a lot of code. Eventually, I settled on my very own rendering. Here’s what I’ve seen & tested: Continue reading » “mycheckpoint (rev. 170): improved custom queries; local charting; page/swap I/O monitoring; improved HTML reports”