Edited on Sep 12, 2016 to correct the description of how ProxySQL handles session variables. Many thanks to Francisco Miguel for pointing this out.
ProxySQL is becoming more and more popular as SQL-aware load balancer for MySQL and MariaDB. In previous blog posts, we covered installation of ProxySQL and its configuration in a MySQL replication environment. We’ve covered how to set up ProxySQL to perform failovers executed from ClusterControl. At that time, Galera support in ProxySQL was a bit limited - you could configure Galera Cluster and split traffic across all nodes but there was no easy way to implement read-write split of your traffic. The only way to do that was to create a daemon which would monitor Galera state and update weights of backend servers defined in ProxySQL - a much more complex task than to write a small bash script.
In one of the recent ProxySQL releases, a very important feature was added - a scheduler, which allows to execute external scripts from within ProxySQL even as often as every millisecond (well, as long as your script can execute within this time frame). This feature creates an opportunity to extend ProxySQL and implement setups which were not possible to build easily in the past due to too low granularity of the cron schedule. In this blog post, we will show you how to take advantage of this new feature and create a Galera Cluster with read-write split performed by ProxySQL.
First, we need to install and start ProxySQL:
[root@ip-172-30-4-215 ~]# wget https://github.com/sysown/proxysql/releases/download/v1.2.1/proxysql-1.2.1-1-centos7.x86_64.rpm
[root@ip-172-30-4-215 ~]# rpm -i proxysql-1.2.1-1-centos7.x86_64.rpm
[root@ip-172-30-4-215 ~]# service proxysql start
Starting ProxySQL: DONE!
Next, we need to download a script which we will use to monitor Galera status. Currently it has to be downloaded separately but in the next release of ProxySQL it should be included in the rpm. The script needs to be located in /var/lib/proxysql.
[root@ip-172-30-4-215 ~]# wget https://raw.githubusercontent.com/sysown/proxysql/master/tools/proxysql_galera_checker.sh
[root@ip-172-30-4-215 ~]# mv proxysql_galera_checker.sh /var/lib/proxysql/
[root@ip-172-30-4-215 ~]# chmod u+x /var/lib/proxysql/proxysql_galera_checker.sh
If you are not familiar with this script, you can check what arguments it accepts by running:
[root@ip-172-30-4-215 ~]# /var/lib/proxysql/proxysql_galera_checker.sh
Usage: /var/lib/proxysql/proxysql_galera_checker.sh <hostgroup_id write> [hostgroup_id read] [number writers] [writers are readers 0|1} [log_file]
As we can see, we need to pass couple of arguments - hostgroups for writers and readers, number of writers which should be active at the same time. We also need to pass information if writers can be used as readers and, finally, path to a log file.
Next, we need to connect to ProxySQL’s admin interface. For that you need to know credentials - you can find them in a configuration file, typically located in /etc/proxysql.cnf:
admin_variables=
{
admin_credentials="admin:admin"
mysql_ifaces="127.0.0.1:6032;/tmp/proxysql_admin.sock"
# refresh_interval=2000
# debug=true
}
Knowing the credentials and interfaces on which ProxySQL listens, we can connect to the admin interface and begin configuration.
[root@ip-172-30-4-215 ~]# mysql -P6032 -uadmin -padmin -h 127.0.0.1
First, we need to fill mysql_servers table with information about our Galera nodes. We will add them twice, to two different hostgroups. One hostgroup (with hostgroup_id of 0) will handle writes while the second hostgroup (with hostgroup_id of 1) will handle reads.
MySQL [(none)]> INSERT INTO mysql_servers (hostgroup_id, hostname, port) VALUES (0, '172.30.4.238', 3306), (0, '172.30.4.184', 3306), (0, '172.30.4.67', 3306);
Query OK, 3 rows affected (0.00 sec)
MySQL [(none)]> INSERT INTO mysql_servers (hostgroup_id, hostname, port) VALUES (1, '172.30.4.238', 3306), (1, '172.30.4.184', 3306), (1, '172.30.4.67', 3306);
Query OK, 3 rows affected (0.00 sec)
Next, we need to add information about users which will be used by the application. We used a plain text password here but ProxySQL accepts also hashed passwords in MySQL format.
MySQL [(none)]> INSERT INTO mysql_users (username, password, active, default_hostgroup) VALUES ('sbtest', 'sbtest', 1, 0);
Query OK, 1 row affected (0.00 sec)
What’s important to keep in mind is the default_hostgroup setting - we set it to ‘0’ which means that, unless one of query rules say different, all queries will be sent to the hostgroup 0 - our writers.
At this point we need to define query rules which will handle read/write split. First, we want to match all SELECT queries:
MySQL [(none)]> INSERT INTO mysql_query_rules (active, match_pattern, destination_hostgroup, apply) VALUES (1, '^SELECT.*', 1, 0);
Query OK, 1 row affected (0.00 sec)
It is important to make sure you get the regex correctly. It is also crucial to note that we set ‘apply’ column to ‘0’. This means that our rule won’t be the final one - a query, even if it matches the regex, will be tested against next rule in the chain. You can see why we’ve done that when you look at our second rule:
MySQL [(none)]> INSERT INTO mysql_query_rules (active, match_pattern, destination_hostgroup, apply) VALUES (1, '^SELECT.*FOR UPDATE', 0, 1);
Query OK, 1 row affected (0.00 sec)
We are looking for SELECT … FOR UPDATE queries, that’s why we couldn’t just finish checking our SELECT queries on the first rule. SELECT … FOR UPDATE should be routed to our write hostgroup, where UPDATE will happen.
Those settings will work fine if autocommit is enabled and no explicit transactions are used. If your application uses transactions, one of the methods to make them work safely in ProxySQL is to use the following set of queries:
SET autocommit=0;
BEGIN;
...
The transaction is created and it will stick to the host where it was opened. You also need to have a query rule for BEGIN, which would route it to the hostgroup for writers - in our case we leverage the fact that, by default, all queries executed as ‘sbtest’ user are routed to writers’ hostgroup (‘0’) so there’s no need to add anything.
Second method would be to enable persistent transactions for our user (transaction_persistent column in mysql_users table should be set to ‘1’).
ProxySQL’s handling of other SET statements and user-defined variables is another thing we’d like to discuss a bit here. ProxySQL works on two levels of routing. First - query rules. You need to make sure all your queries are routed accordingly to your needs. Then, connection mutiplexing - even when routed to the same host, every query you issue may in fact use a different connection to the backend. This makes things hard for session variables. Luckily, ProxySQL treats all queries containing ‘@’ character in a special way - once it detects it, it disables connection multiplexing for the duration of that session - thanks to that, we don’t have to be worried that the next query won’t know a thing about our session variable.
The only thing we need to make sure of is that we end up in the correct hostgroup before disabling connection multiplexing. To cover all cases, the ideal hostgroup in our setup would be the one with writers. This would require slight change in the way we set our query rules (you may require to run ‘DELETE FROM mysql_query_rules’ if you already added the query rules we mentioned earlier).
MySQL [(none)]> INSERT INTO mysql_query_rules (active, match_pattern, destination_hostgroup, apply) VALUES (1, '.*@.*', 0, 1);
Query OK, 1 row affected (0.00 sec)
MySQL [(none)]> INSERT INTO mysql_query_rules (active, match_pattern, destination_hostgroup, apply) VALUES (1, '^SELECT.*', 1, 0);
Query OK, 1 row affected (0.00 sec)
MySQL [(none)]> INSERT INTO mysql_query_rules (active, match_pattern, destination_hostgroup, apply) VALUES (1, '^SELECT.*FOR UPDATE', 0, 1);
Query OK, 1 row affected (0.00 sec)
Those two cases could become a problem in our setup but as long as you are not affected by them (or if you used the proposed workarounds), we can proceed further with configuration. We still need to setup our script to be executed from ProxySQL:
MySQL [(none)]> INSERT INTO scheduler (id, active, interval_ms, filename, arg1, arg2, arg3, arg4, arg5) VALUES (1, 1, 1000, '/var/lib/proxysql/proxysql_galera_checker.sh', 0, 1, 1, 1, '/var/lib/proxysql/proxysql_galera_checker.log');
Query OK, 1 row affected (0.01 sec)
Additionally, because of the way how Galera handles dropped nodes, we want to increase the number of attempts that ProxySQL will make before it decides a host cannot be reached.
MySQL [(none)]> SET mysql-query_retries_on_failure=10;
Query OK, 1 row affected (0.00 sec)
Finally, we need to apply all changes we made to the runtime configuration and save them to disk.
MySQL [(none)]> LOAD MYSQL USERS TO RUNTIME; SAVE MYSQL USERS TO DISK; LOAD MYSQL QUERY RULES TO RUNTIME; SAVE MYSQL QUERY RULES TO DISK; LOAD MYSQL SERVERS TO RUNTIME; SAVE MYSQL SERVERS TO DISK; LOAD SCHEDULER TO RUNTIME; SAVE SCHEDULER TO DISK; LOAD MYSQL VARIABLES TO RUNTIME; SAVE MYSQL VARIABLES TO DISK;
Query OK, 0 rows affected (0.00 sec)
Query OK, 0 rows affected (0.02 sec)
Query OK, 0 rows affected (0.00 sec)
Query OK, 0 rows affected (0.02 sec)
Query OK, 0 rows affected (0.00 sec)
Query OK, 0 rows affected (0.02 sec)
Query OK, 0 rows affected (0.00 sec)
Query OK, 0 rows affected (0.01 sec)
Query OK, 0 rows affected (0.00 sec)
Query OK, 64 rows affected (0.05 sec)
Ok, let’s see how things work together. First, verify that our script works by looking at /var/lib/proxysql/proxysql_galera_checker.log:
Fri Sep 2 21:43:15 UTC 2016 Check server 0:172.30.4.184:3306 , status ONLINE , wsrep_local_state 4
Fri Sep 2 21:43:15 UTC 2016 Check server 0:172.30.4.238:3306 , status OFFLINE_SOFT , wsrep_local_state 4
Fri Sep 2 21:43:15 UTC 2016 Changing server 0:172.30.4.238:3306 to status ONLINE
Fri Sep 2 21:43:15 UTC 2016 Check server 0:172.30.4.67:3306 , status OFFLINE_SOFT , wsrep_local_state 4
Fri Sep 2 21:43:15 UTC 2016 Changing server 0:172.30.4.67:3306 to status ONLINE
Fri Sep 2 21:43:15 UTC 2016 Check server 1:172.30.4.184:3306 , status ONLINE , wsrep_local_state 4
Fri Sep 2 21:43:15 UTC 2016 Check server 1:172.30.4.238:3306 , status ONLINE , wsrep_local_state 4
Fri Sep 2 21:43:16 UTC 2016 Check server 1:172.30.4.67:3306 , status ONLINE , wsrep_local_state 4
Fri Sep 2 21:43:16 UTC 2016 Number of writers online: 3 : hostgroup: 0
Fri Sep 2 21:43:16 UTC 2016 Number of writers reached, disabling extra write server 0:172.30.4.238:3306 to status OFFLINE_SOFT
Fri Sep 2 21:43:16 UTC 2016 Number of writers reached, disabling extra write server 0:172.30.4.67:3306 to status OFFLINE_SOFT
Fri Sep 2 21:43:16 UTC 2016 Enabling config
Looks ok. Next we can check mysql_servers table:
MySQL [(none)]> select hostgroup_id, hostname, status from mysql_servers;
+--------------+--------------+--------------+
| hostgroup_id | hostname | status |
+--------------+--------------+--------------+
| 0 | 172.30.4.238 | OFFLINE_SOFT |
| 0 | 172.30.4.184 | ONLINE |
| 0 | 172.30.4.67 | OFFLINE_SOFT |
| 1 | 172.30.4.238 | ONLINE |
| 1 | 172.30.4.184 | ONLINE |
| 1 | 172.30.4.67 | ONLINE |
+--------------+--------------+--------------+
6 rows in set (0.00 sec)
Again, everything looks as expected - one host is taking writes (172.30.4.184), all three are handling reads. Let’s start sysbench to generate some traffic and then we can check how ProxySQL will handle failure of the writer host.
[root@ip-172-30-4-215 ~]# while true ; do sysbench --test=/root/sysbench/sysbench/tests/db/oltp.lua --num-threads=6 --max-requests=0 --max-time=0 --mysql-host=172.30.4.215 --mysql-user=sbtest --mysql-password=sbtest --mysql-port=6033 --oltp-tables-count=32 --report-interval=1 --oltp-skip-trx=on --oltp-read-only=off --oltp-table-size=100000 run ;done
We are going to simulate a crash by killing the mysqld process on host 172.30.4.184. This is what you’ll see on the application side:
[ 45s] threads: 6, tps: 0.00, reads: 4891.00, writes: 1398.00, response time: 23.67ms (95%), errors: 0.00, reconnects: 0.00
[ 46s] threads: 6, tps: 0.00, reads: 4973.00, writes: 1425.00, response time: 25.39ms (95%), errors: 0.00, reconnects: 0.00
[ 47s] threads: 6, tps: 0.00, reads: 5057.99, writes: 1439.00, response time: 22.23ms (95%), errors: 0.00, reconnects: 0.00
[ 48s] threads: 6, tps: 0.00, reads: 2743.96, writes: 774.99, response time: 23.26ms (95%), errors: 0.00, reconnects: 0.00
[ 49s] threads: 6, tps: 0.00, reads: 0.00, writes: 1.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00
[ 50s] threads: 6, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00
[ 51s] threads: 6, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00
[ 52s] threads: 6, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00
[ 53s] threads: 6, tps: 0.00, reads: 0.00, writes: 0.00, response time: 0.00ms (95%), errors: 0.00, reconnects: 0.00
[ 54s] threads: 6, tps: 0.00, reads: 1235.02, writes: 354.01, response time: 6134.76ms (95%), errors: 0.00, reconnects: 0.00
[ 55s] threads: 6, tps: 0.00, reads: 5067.98, writes: 1459.00, response time: 24.95ms (95%), errors: 0.00, reconnects: 0.00
[ 56s] threads: 6, tps: 0.00, reads: 5131.00, writes: 1458.00, response time: 22.07ms (95%), errors: 0.00, reconnects: 0.00
[ 57s] threads: 6, tps: 0.00, reads: 4936.02, writes: 1414.00, response time: 22.37ms (95%), errors: 0.00, reconnects: 0.00
[ 58s] threads: 6, tps: 0.00, reads: 4929.99, writes: 1404.00, response time: 24.79ms (95%), errors: 0.00, reconnects: 0.00
There’s a ~5 seconds break but otherwise, no error was reported. Of course, your mileage may vary - all depends on Galera settings and your application. Such feat might not be possible if you use transactions in your application.
To summarize, we showed you how to configure read-write split in Galera Cluster using ProxySQL. There are a couple of limitations due to the way the proxy works, but as long as none of them are a blocker, you can use it and benefit from other ProxySQL features like caching or query rewriting. Please also keep in mind that the script we used for setting up read-write split is just an example which comes from ProxySQL. If you’d like it to cover more complex cases, you can easily write one tailored to your needs.
