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Which is an example of archiving SQL Server data?
For example, let’s assume that you need to archive the year 2012 data from orders table. Since this is order table, you will have billions of records and year 2012 may have few millions of rows. When deleting those records, obviously it takes considerable time to delete as each delete will be a physical operation on the table.
When to delete data from SQL Server archive?
If your users are unsure about the archive process, play it safe and just try to move the data to another set of tables first and then perhaps to another system. If you are overly cautious and your users just want to delete the data, consider moving the data to another database for 1 to 3 months before permanently deleting the data.
How to automate the archiving process in SQL Server?
Automate the data archiving process – Setup rules with the users to be able to automate the archive process so it occurs regularly on a weekly, monthly or quarterly basis Once you understand how the data can be archived, now the technical decisions need to be made.
Is it possible to archive data from a partition table?
Since this partition table data is moved to the newly created table, though the data is archived from the original table, the database still has the data. Some database administrators still favor this approach as it can be kept as temporary data store so that you can recover the data in case of a need.
How big should a SQL archive file be?
Data archiving processes should cause appreciable growth of the database log file. Clients should have the full week of historical data. The average daily historical data for one client grows to about 100,000 rows, and we have 40+ clients with 5 to 10 such tables.
How to copy a huge table data into another table?
TempDB won’t block or lock the source and it won’t hold up the destination. Those are a few options to try. Simple Insert/Select sp’s work great until the row count exceeds 1 mil. I’ve watched tempdb file explode trying to insert/select 20 mil + rows.
Is there an automated process to archive big tables?
When I started to analyze the client’s historical data, I realized that there were no existing archive processes and the data was not archived, neither automatically nor manually. Some data goes back up to 5 years, resulting in a substantial increase of the database size.