Rapid Database Recovery with Differential Backups

Introduction

Differential backups are a new feature in SQL 7 that can speed up your
recovery times when restoring from database and transaction log backups.

What is a differential backup?

A differential backup is a record of all the pages that have changed since
the last full database dump. They differ from Transaction Log backups in that
they always go back as far as the last full dump, so if you take two
differential backups one after the other, the second contains everything in the
first, plus all subsequent changes.

If you did two successive transaction log backups, the second backup would
only contain changes to the database made after you took the first transaction
log backup.

Creating more efficient backup strategies

The simplest way (and prior to SQL 7 the only way) to ensure you were
able to recover your database to a specific point in time would be to take
regular transaction log dumps, and to restore the database dump and all
subsequent transaction logs up to the desired recovery point.

In this example we take a full backup at midnight, and a transaction log
backup every hour. To recover the database to it’s status at 9:30 we have to
first restore the full database dump, then all the transaction log dumps from 1
am to 10 am, specifying "stop at 9:30" for the last (10 am) restore.

Standard Backup Procedure
Click image for full size

This technique works just fine, but we have just had to restore a total of 11
backup files. We can do better than this if we use differential backups. In this
next example we add in a differential backup at 8 am. Now to restore our
database to it’s state of play as at 9:30, we only have to restore 4 files, the
full database dump, the differential, and then the transaction log backups from
9 am and 10 am.

Differential Backup Procedure
Click image for full size

We can extend this into the day by making further differential dumps–you
only need to restore the original database dump, the most recent prior differential, and the subsequent transaction log dumps, to get back to any point in time.

Let’s take the example above and extend it later into the day. Here we take a
second differential backup at 5 pm, and we also continue to take out hourly
transaction log dumps. To restore the database to 5:30, all we need to restore
is the original database dump, the second differential dump (remember, it
includes the contents of the previous differential) and the 6 pm transaction log
dump with a "stop at" parameter of 5:30.

Extended Differential Backup Procedure
Click image for full size

In the example above we have only had to restore from 3 files. Without
differential dumps we would have had to restore every transaction log from 1 am
to 6 pm – a total of 19 files when you include the full database dump.

Timing is everything

I chose 8 am and 5 pm for the differential backups in the above example
because it represents more-or-less the boundaries of the normal working day.
Obviously timings for backups should be dictated by your own environment.

Remember–you still need all your transaction log dumps

Differential backups do not give you the ability to stop at a specific time,
so in the above examples if we wanted to restore the database to 4 am, you need
to restore the database dump and the subsequent transaction logs up until the 4
am one. The 5 am differential backup contains the data we need, but
because it’s internal structure is different to that of a transaction log
backup, it does not know how to stop at a given point in time.

Neil Boyle
Neil Boyle
Neil Boyle left school at the age of sixteen thinking that computers were things that only existed in Star Trek. After failed careers as a Diesel Mechanic, Industrial Cleaner, Barman and Bulldozer Driver he went back to college to complete his education. Since graduating from North Staffs Poly he has worked up through the ranks from Trainee COBOL Programmer to SQL Server Consultant, a role in which he has specialised for the past seven years.

Get the Free Newsletter!

Subscribe to Cloud Insider for top news, trends & analysis

Latest Articles