Inside MySQL Binary Logs

The MySQL Binary Log files are important to the proper functioning of the
database and facilitate replication, and recovery. This article discusses
some of the inner workings of these important files, and explains how
ordering of transactions also plays into how they work.


The MySQL binary logs are an important part of your database server, so it’s a
good idea to get acquainted with them. Essentially, these files are logs of
transactions that occur in your database. They can be used to restore the
database to a point in time, and are also used by replication, as we’ll see

What are Binary Logs?

The best way to understand binary logs is by looking at their contents. Let’s
follow an example using mysqlbinlog. This tool will read the binary log and
return it’s contents as readable text.

$ mysqlbinlog /var/lib/mysql/db1-bin.000004
# at 35804
#100802 20:47:31 server id 120 end_log_pos 35953 Query thread_id=6 exec_time=0 error_code=0
SET TIMESTAMP=1280782051/*!*/;
ALTER TABLE event MODIFY name char(64) CHARACTER SET utf8 NOT NULL default ''
# at 35953
#100802 20:47:31 server id 120 end_log_pos 36089 Query thread_id=6 exec_time=0 error_code=0
SET TIMESTAMP=1280782051/*!*/;

So now the binary logs become more visible. We
can see that MySQL is dumping specific details about queries that have completed
in the database. The "at" line indicates the starting position in the
binary log file, end_log_pos is the ending position and so on. You can also see
a timestamp, which will be used by replication, as we’ll see later. Also,
notice the server_id. This is the ID set in the my.cnf file, and should be
unique among your MySQL servers. It’s basically how MySQL replication avoids an
infinite loop in various replication topologies.

How do they support replication?

The binary log is written to as transactions commit. The slave server monitors
the master server for activity in its binary log file using its IO thread. If
it finds a new transaction, it copies those lines into its own relay log file,
which is similar to a binary log file in contents. Its SQL thread then applies
those transactions in the order they occurred to the slave side.

How do they support point-in-time recovery?

The first thing you’ll want to do is restore your database from your last
backup, say last night, or last Sunday. You can use a dump file and import it,
or perhaps a cold backup or volume snapshot. Whatever method you use, be sure
you’ve restored to that point in time and make sure the database is up and
running, and no new users can connect.

Binary logs support point-in-time recovery through creative use of the
mysqlbinlog command. Using the command on a file by itself will simple dump out
its contents. However, it also has other options. For instance, you can specify
a beginning date and an ending date. For example:

$ mysqlbinlog --start-datetime='2010-08-01 11:00:00' --stop-datetime='2010-08-01 14:00:00' db1-bin.000004 

So with this command we’ll display all the transactions in the file on August
1st, between 11am and 2pm. We can start to see how point-in-time recovery can
be achieved here. There are just a couple more pieces to fall into place. Next,
we’ll want to add the –to-last-log option, so the mysqlbinlog command will
continue reading, even past the end of the file we pass on the command line.

The last piece to put into place is to use the Unix pipe command. This dumps
the standard output – what would normally be output to the screen – into a
pipe. At the other end of the pipe is another Unix program, in this case the MySQL
client. So essentially, we’ll send those commands directly into the MySQL
server to be executed, by using the MySQL client program as follows:

$ mysqlbinlog --to-last-log 
	--start-datetime='2010-08-01 11:00:00' 
	--stop-datetime='2010-08-01 14:00:00' db1-bin.000004 | mysql -u root -ppass

That will start applying transactions to the running MySQL server starting from
11am August 1st and through to 2pm August 1st, reading all the binary logs it
requires to get all transactions in that window.

Isolation Levels and Non-Transactional Tables

MySQL supports a number of different isolation levels for your transactions.

Repeatable Read is the default and means that inside of a transaction reads
will be repeatable. Remember there are many other sessions changing rows of
data in the database at the same time. If those changes can be seen by your
transaction, at different states before a commit, that can cause your
application problems.

Read Committed means that your transaction is in isolation, however if another
transaction in another session commits, your transaction will then be able to
see those changes immediately. So if you did a SELECT on rows affected by that
other transaction earlier in your own, they may now be different when you
SELECT again, hence you don’t have repeatable reads anymore.

Read Uncommitted means that your transaction will have dirty reads. It will see
work-in-progress from other transactions. This is usually a bad thing for
concurrent database applications.

As it turns out only repeatable reads are supported for statement based and
mixed replication. In earlier versions before MySQL 5.1, this would break
replication, but no error was returned. As of newer versions of 5.1, you now
get an error back to your application if you are not in Repeatable Read
isolation level. This makes sense if you think about it, as replication
correctness and consistency relies on the order of commits. If MySQL can’t
write the statements to the binary log in an absolutely consistent way, then
replication slaves may apply them in a different order, and hence have
databases in a different, potentially inconsistent state.


Binary logs are a core component of the MySQL database, providing point-in-time
recovery, and facilitating replication as well. They also provide a window into
the inner workings of the database, giving us some insight into how
transactions work, and why they are important to replication.


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Sean Hull

Sean Hull
Sean Hull
Sean Hull is a business and technology consultant, author and speaker. He is the founder and senior consultant at Heavyweight Internet Group in New York and has worked as a database consultant and expert for ten years. He is the author of "Oracle and Open Source" on O'Reilly & Associates and his articles have appeared in Oracle's own OTN website, DBA Zine,, and many others. Using techniques, technologies, and perspectives discussed in the book, articles, and seminars, he has taken his career into exciting areas. He has served as Technology Consultant, Project Manager, CEO, and mentor with a background in programming, systems integration & administration, project development and management. He can be reached at or visit for more info about consulting services.

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