How to insert large amounts of data in SQL table?
The table in which i am inserting the records contains around 10 millions records and it is a actively used table. I have tried disabling the indexes and then again re-building then and i found that this process takes more time than the insert only. First of all, optimize the SELECT part of INSERT…SELECT….:
Is there a better way to avoid update statement locking out the table?
Does NOLOCK even make sense in this case, because the SQL Server would have to anyways get update locks for UPDATE. Is there a better way of achieving this? I know hints are to be avoided and SQL Server usually makes smarter choices, but I don’t want to get the table locked out during this update.
Why do I have to update a table every time?
Keeping in mind the columns in the clustered index key are used (duplicated) in every non-clustered index, the space savings from right-sizing the data might be substantial. Rather than update, and most likely have to keep updating this table, why not create computed columns once?
What’s the fastest way to insert in Stack Overflow?
So I’ve focused on what’s happening when you reduce batch size to value somewhere in between 10 and 100, and here are my results (I’m using different row contents, so my times are of different value): Based on my results, actual optimum is around value of 30 for batch size. It’s less than both 10 and 100.
How to insert / update a large amount of data in MySQL?
ON DUPLICATE KEY UPDATE syntax to automatically handle the insert/update logic. 40,000 is not that many rows – I’d be surprised if that command took more than a few seconds. If you’re worried about hitting a memory limit (possible) then try loading the rows in batches of a few thousand at a time and looping through.
When to do large updates in SQL Server?
Do large updates during low peak usage times to minimize blocking of other processes. If triggers are used on a table, it is helpful to disable the triggers prior to doing large updates if possible. Make sure you have the correct indexes in place to optimize the update.
Which is the best update statement for SQL Server?
Learn about the best of breed SQL Server monitoring tools from SolarWinds that combine the best features of Database Performance Analyzer and SQL Sentry, giving you the power to have a complete SQL monitoring solution. In SQL Server we use the UPDATE statement for modifying data.