Applications downs due to heavy MySQL server load - mysql

We have a 2GB Digital Ocean server, and it is dedicated for a MySQL server of other two PHP servers. we are using Percona MySQL Server 5.6 on this server. We configured MySQL replication and these configuration is working fine
Our issue is sometime our site monitoring tools reporting that some of the URL hosted with this server is down (May be this is happening once in a week or two). When I am checking, I could see that Mysql Master server load is too much high (May be 35 - 40), so the MySQL server was not responded. # that I usually do a MySQl service restart, this restart cause to server load become normal and the sites started working after service restart.
This is a back-end MySQL database server of 20-25 PHP applications (WordPress, Drupal and some custom applications server).
Here are my questions,
Why this server load automatically goes down, after a spikes happens?
Is there any way in which database is causing issues? So that I can identify the application too.
How can I identify the root cause of this issues

Depending upon your working dataset, a 2GB server providing access for 20-25 PHP applications (WordPress, Drupal and some custom applications server) could be the issue.
For example, if you have a 1.4GB buffer pool (assuming all tables are InnnoDB) and 10GB of data, then your various applications could end up competing for resources, such as I/O, buffer pool pages, Adaptive Hash Index, query cache. They could also, assuming caching is used, be invalidating theit caches within a similar timeframe, thus sending expensive queries to the database.
Whilst a load of 50 is something that you would normally want to avoid, the load average is not something that you should concern yourself with if showing in isolation.
The use of the uninterruptible state has since grown in the Linux
kernel, and nowadays includes uninterruptible lock primitives. If the
load average is a measure of demand in terms of running and waiting
threads (and not strictly threads wanting hardware resources), then
they are still working the way we want them to.
http://www.brendangregg.com/blog/2017-08-08/linux-load-averages.html
If the issue is happening once per week then it is starting to sound like a batch process, or cache expiration issue - too much happening at once for the resources available.
The best thing to do is to monitor and look for the cause. Since you are already using Percona Server, using PMM should give you the perfect insight to find the cause, although it works with Oracle MySQL, MariaDB, Aurora, etc. You can try a demo to see the insights that you can gain:
https://pmmdemo.percona.com. The software is Open Source and free to use.
You can look in QAN to find the most expensive queries, whilst looking at Prometheus data to give an insight into the host itself. There are some recommendations to get the most from PMM, depending upon your flavour of MySQL.

Related

Node and Deno servers accessing the same MySQL database

I want to test Node and Deno and try to redirect users via proxy to one MySQL DB.
How will it impact the database?
Can some timestamp conflicts via CRUD operations arise or does MySQL have some mechanism to cope with connections from multiple servers?
What about performance or memory footprint of the database in RAM? Will it be occupying the same amount of space as if there was only one server requesting the database to CRUD something?
What would happen if I added another server that will connect to the DB, for example, java or Go server?
It will virtually have no impact on the database other than having any other concurrent processes connecting to it.
This is not a deno issue but rather a database issue.
The exact same problems can happen even with your current single Node.js instance, because the nature of all systems these days is concurrent/parallel.
You might as well replace the Deno app with another Node.js instance, Java, etc. Or even your current Node.js app.
Data in a database can change once you loaded it to the client, and it is up to you to implement the code that will handle such scenarios.
The fact that MySQL is not "ACID" is neither negative nor relevant in and of itself because it is doesn't have context.
If you need complete absolute integrity on a registry make sure you lock it when you select it, but there will be a trade off.

MySQL hanging in Writing to Net

I have problem, when MySQL thread sometime stuck at status "Writing to net".
I have 4 Apache server (2.4) (requests are load-balanced on them) a 1 MySQL (MariaDB 10). Apache is executing php56. All Apache servers have same configuration. All servers runs on CentOS 7. SElinux is disabled on Apache servers for debug reasons. No problems in audit logs on DB server. All servers are virtual and located on same cluster (VMware).
Problem appear only on specific pages and specific queries to DB.
Usually there is around 100-200 separate queries on page and most of them takes 0.0001-0.0010 s. But then I have one query that takes around 1-2sec. The query itself take much lesser time (around 0.0045s).
Problematic query returns around 8984 rows and when executed from CLI from debug script, it is executed fast as expected.
Strange is that in time some Apache servers execute that page quickly, and some slowly. It changes (during day). Also I tried remove one Apache server from cluster and then send same request. If server is not under any load, it usually responds fast.
All server have enough resources (CPU and RAM) so it is definitely not load issue. They usually have around 4-10 active Apache workers (prefork) and have capacity for 100 active workers.
I tried debugging with tcpdump and when requesting page, I can see packet flow for fast queries and then it stops for a while and resumes. Not sure if the problem is on MySQL server or on Apache server.
My guess is that I am hitting some kind of limit, but I have no idea which one.
The solution is quite odd.
First few more details:
All Apache severs have same application data (PHP files, images, etc.) Mounted from NFS. The NFS share was working fine (low latency, no data corruption).
Solution:
When I was desperate I went through every possible log. Then I noticed that iptables are dropping some packets from NFS server. Well I said to myself that I should probably fix that, even when its not related.
But after I allowed all traffic from NFS to my Apache servers, MySQL status "writing to net" disappeared and all websites started to respond quickly.

How to configure Amazon EC2 t1.micro instance for Buddypress

We have installed WordPress on EC2 t1.micro instance and installed Buddypress on top of that, everything work fine for single user, but when two user access at same time, site goes down, because of RAM issue, httpd (Apache) takes maximum memory, how to overcome this, is there any configuration need to do in http.conf file or any network / traffic blocking tool do i need to install?
Micro instances are notoriously too small to handle WordPress and MySQL together. They're going to thrash (overuse the disk swap feature) or just run out of RAM and crash.
You are going to have to do a lot of tuning to get this right on a micro instance, and it is never going to be rock-stable. It's a pain in the neck. If your time is worth more than a dollar an hour compared to hosting fees, you should upgrade to an instance with more RAM, or sign up for one of the many US$6 per month shared hosting accounts available in the world.
Where to start tuning? Try setting a value in the Apache httpd.conf.
Set MaxRequestWorkers to a low number. You might try 4. When this number is low then you also won't have many simultaneous clients connecting from your Apache/php to your MySQL server.
Requests from web-browser clients will be enqueued when all your workers are busy. That works correctly, but may make your web site seem slow to your users. See the backlog parameter in the Linux documentation for listen(2) for an explanation of that queuing.
That will save both on Apache RAM and MySQL resources.
http://httpd.apache.org/docs/current/mod/mpm_common.html#maxrequestworkers
Then you probably should look at the my.conf file for MySQL, and see what you can play around with.
Edit MySQL, Apache, and php are all drawing on the same pool of RAM -- 512MB if I remember correctly. Reducing the number of Apache workers should help control RAM usage by Apache (and php, which is probably running in the Apache server's address space). Do that.
Then, go find the memory_limit in php.ini. It's set to 128M in many standard installations. Try reducing it to 64M or 40M. That will make each php instance use less RAM. But, if your WordPress installation is complex (lots of plugins, fancy theme), it may make some pages fail to load. WordPress will announce the problem as memory running out. http://php.net/memory-limit
Then, jump into MySQL's my.ini. The standard MySQL install comes with a file called my-small.ini, which contains the configuration parameters for a small MySQL instance. Yours can be small: WordPress's tables contain hundreds or a few thousands of rows, not hundreds of thousands. Save your old my.ini and then copy the contents of my-small.ini into my.ini. Restart your MySQL server after doing that.
Those steps may help you squeak by in a micro instance. They may not. They are, I suppose, worth a try.

Rails app generating MySQL load though now database access triggered

I have a Rails 4.x application running on server A and MySQL on server B.
Using ab to do a load test of my API calls I notice that the MySQL server is showing CPU activity. So I go back to the code and check, but no SQL statements are triggered, to be sure I also deactivate all before filters, but still the MySQL server shows CPU load.
I went to MySQL and run
show processlist;
but that also shows no active SQL statements
Why would there be load on the DB server?
A Rails application initializes connection pools to the configured database on app load and also loads basic schema data for each ActiveModel defined to populate runtime mappings from the DB to instances of that model.
These connections/queries will happen as soon as you have loaded the application and running traffic.
If this is not what is responsible for the activity on your database server, you will need to use other tools to see what is responsible. For example, NewRelic's system monitoring tools are great for snapshotting CPU/memory usage over time correlated to what processes were running. This will help you rule out MySQL itself using resources vs. other things running on the DB server.
According to this article, storage engines like Innodb may have their own per thread and/or global memory allocations which is probably accounting for the CPU overhead. If this is a stock (non-tuned) MySql install, you're probably just seeing baseline CPU activity. The article mentions a number of places to look that might indicate areas that can be tuned to reduce this footprint.

Using 2 servers for MySQL

I have 2 servers for my website
Web Server
For sending dynamic content, mostly created with PHP
A lot of RAM and a fast processor, only a few GBs of hard drive space.
and a
File Server
For sending static content, images, videos etc..
A few TBs of hard drive space, not as much RAM and a slower processor.
I want to Use the speed of the Web Server, but the space of the File Server. But I heard the overhead of NFS will make it so slow it will not matter...
I will be using MySQL and I want to know how I should optimize the database so I can keep the data on the File Server, but have the queries preformed, and processed by the Web Server.
The advice you received is correct in my experience... running mysqld on one box and using a remote server via NFS for file storage is not very fast (if the remote storage were a SAN that would be a different matter).
You can reduce the number of times your database is hit and leverage the RAM on the web server by caching on that tier. Look into introducing something like memcached to help with the most expensive MySQL operations.
If some of your tables are small but used frequently, you could consider running a second instance of MySQL on your web server just for those tables. Keep in mind, though, that you will have two separate points of database failure that need to be managed (appropriate backups, security updates, etc.).