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Should you store logs in a database?
Storing your logs in a database isn’t a HORRIBLE idea, but storing them in the same database as your other production data is. Maybe you’re conservative with your logging and only emit one log line per web request normally. Instead use something like Splunk, Loggly or plain old rotating flat files for your logs.
Should I log to file or database?
4 Answers. In very general terms, logging to a text file is much faster than logging to a database. That’s the main aspect of logging you need to consider.
Which NoSQL database should I use for logging?
MongoDB Capped Collections are extremely popular and suitable for logging, with the added bonus of being ‘schema less’, which is usually a semantic fit for logging.
Should we add logs to local files?
Either works. It’s up to your preference. We have one central database where ALL of our apps log their error messages. Every app we write is set up in a table with a unique ID, and the error log table contains a foreign key reference to the AppId.
Can a SQL server log file be placed on the same device?
Applies to: SQL Server (all supported versions) This rule checks whether data and log files are placed on separate logical drives. Placing both data AND log files on the same device can cause contention for that device, resulting in poor performance.
What happens when you put data and log files on the same device?
Placing both data AND log files on the same device can cause contention for that device, resulting in poor performance. Placing the files on separate drives allows the I/O activity to occur at the same time for both the data and log files. When you create a new database, specify separate drives for the data and logs.
Which is more efficient storing logs in databases or files?
The pros of storing logs to databases over files is that you can analyse your logs much more easily with the power of SQL, the cons, however, is that you have to pay much more time for database maintainence.
How big should a log storage system be?
It should be able to store at least 40 GB data per day. The total data size will be around 20 TB of data. Searching for log messages should be done in real time. The acceptable response time for a search query is less than 10 seconds.