Daily backups of the DB are already in place. Wouldn't that result in a non-growing ldf log without risk of losing more than 1 day of data? Florian Yes, daily database backups will provide losing maximum 24 hours of data. For the scenario you described, you don't need the Full recovery model and auto-shrinking. Having a database in Simple recovery and daily full database backups should be enough.
Full recovery model is used only for a point in time recovery, and auto-shrink might cause performance problems: support. No, please do not ever set auto shrink to true for any file in SQL Server. I was about to post this link here before seeing that AaronBertrand had commented this itself. You could check Paul Randal's article on the topic as well. You can take a look at the answers I received and posted in this thread: SQL Server virtual log size I'm not sure if it's possible to disable the log completely, but the way I solved it has kept the logs from growing out of control.
Petter Brodin Petter Brodin 2 2 gold badges 10 10 silver badges 18 18 bronze badges. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta. New post summary designs on greatest hits now, everywhere else eventually. The disk space intended for a data file in a database is logically divided into pages numbered contiguously from 0 to n. This means SQL Server databases have pages per megabyte. That is, SQL Server reads or writes whole data pages.
Thus, when compact data types are used, the buffer pool stores larger amount of data on the same amount of pages. As a result, you will not waste the memory and reduce a number of logical operations. Are the selected data types correct? The most probable answer is no. The following execution plan demonstrates the cost difference which depends on a row size and expected number of rows. As you can see, the usage of non-redundant data types is a keystone for the best query performance.
It also allows reducing the size of problem tables. By the way, you can execute the following query for measuring a table size:. The server part is quite simple over there and consists of a single table:. This data subsequently were used for determining of most popular formatting styles. There were plans to add these styles to SQL Complete default formatting styles. However, the service popularity rise led to a significant table rows increase, and profiles processing became slow.
The settings had the following XML structure:. Each row takes 33 KB in the table. The daily data growth exceeds MB. As an obvius outcome, the database has been expanding day by day, thus making data analysis yet more complicated.
Surprisingly, the salvation turned out to be quite easy: all unique profiles were placed into a separate table, where a hash was defined for every set of options. As of SQL Server , you can use the sys. If we compare the execution time for two queries, we can hardly see the advantages of the schema changes. The file growth increment on a log file should be sufficiently large to avoid frequent expansion.
A good pointer to properly size a transaction log is monitoring the amount of log occupied during:. A small growth increment can generate too many small VLFs and can reduce performance. To determine the optimal VLF distribution for the current transaction log size of all databases in a given instance, and the required growth increments to achieve the required size, see this script. A large growth increment can generate too few and large VLFs and can also affect performance.
Even with autogrow enabled, you can receive a message that the transaction log is full, if it cannot grow fast enough to satisfy the needs of your query. Having multiple log files in a database does not enhance performance in any way, because the transaction log files do not use proportional fill like data files in a same filegroup. Log files can be set to shrink automatically.
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