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How do I delete data from a huge table?
Options to Delete the Data
- Using TOP Clause. Another approach is to use a TOP clause with a DELETE statement to limit the number of rows deleted as shown below.
- Using ROWCOUNT property.
- Using a Cursor.
- Using a While Loop.
- Using GO with a count.
- Generating the DELETE Statements.
- Executing the File using SQLCMD.
How do I truncate a large table?
4 Answers
- Truncate table.
- Script out the table, then drop table and recreate the table using the script.
- Assuming the table has a PK, then create a similar table, and using partition switch in/out to switch the table to the new table, and then drop the newly created table.
Which is faster TRUNCATE or DROP?
TRUNCATE is a DDL(Data Definition Language) command. It is used to delete all the tuples from the table. The TRUNCATE command is faster than both the DROP and the DELETE command. Like the DROP command we also can’t rollback the data after using the this command.
What’s the best way to delete a large table?
If you have a scheduled maintenance downtime window and you are able to take a consistent backup of the table immediately before the delete, you can use several methods: OPTION ONE: Use a vanilla delete with a COMMITs. Note that it is common for super-large tables to reside within their own tablespace for ease of management.
How to delete data from a large table in Oracle?
Vanilla delete: On a super-large table, a delete statement will required a dedicated rollback segment (UNDO log), and in some cases, the delete is so large that it must be written in PL/SQL with a COMMIT every million rows. Note that Oracle parallel DML allows you to parallelize large SQL deletes.
How to delete large data of table without log?
This will delete the data in selected partition (s) only and should be the most efficient way to delete data from part of table since it will not create transaction logs and will be done just as fast as regular truncate but without having all the data deleted from the table.
What happens when you delete a large amount of data?
But when you delete a considerable amount of data the row locking escalates into a page or even a table lock which causes blocking issues. When I was asked to remove historical data from a 120 GB unpartitioned table for an online payment service I tried different approaches, all with the same basic idea of limiting blocking issues.