How to move millions of rows in SQL Server?
Are there any solutions more efficient than simple INSERT INTO or exporting and importing files to move millions of rows from a table with 3 columns to a similar table in another database, without blocking the destination database and not losing any of the records in transactions that can be rolled back in case of failure?
How to move rows from one table to another in MySQL?
All is in a Transaction to be sure nobody is disturbing INSERT INTO Persons_Table (person_id, person_name,person_email) SELECT person_id, customer_name, customer_email FROM customer_table ORDER BY `person_id` DESC LIMIT 0, 15 WHERE “insert your where clause here”; DELETE FROM customer_table WHERE “repeat your where clause here”;
How to transfer data to a new table?
You could also use BCP or SSIS to move data into new database into new table – which will not lock the actual destination table – and then use partition switching, this should result in minimum locking in the destination database. Thanks for contributing an answer to Database Administrators Stack Exchange!
How to efficiently copy millions of rows from one table to another?
SELECT it was taking a lot of time not to insert rows, but to update indexes. When i disabled indexes, it imported 3M rows in 10 seconds. Now i need to find faster way of reindexing the big table. Also you can write a shell script.
How to speed up query on table with millions of rows?
That leads to a clustered index scan and a missing index request for an index that covers the entire query. If you run the query with RECOMPILE, you allow for the parameter embedding optimization. Which gives us a different query plan, and a more accurate estimate. Hope this helps!
Why is MySQL could be slow with large tables?
Data retrieval, search, DSS, business intelligence applications which need to analyze a lot of rows run aggregates, etc., is when this problem is the most dramatic. Some joins are also better than others. For example, if you have a star join with dimension tables being small, it would not slow things down too much.