How do I delete multiple rows in a single query?

How do I delete multiple rows in a single query?

To remove one or more rows in a table:

1. First, you specify the table name where you want to remove data in the DELETE FROM clause.
2. Second, you put a condition in the WHERE clause to specify which rows to remove. If you omit the WHERE clause, the statement will remove all rows in the table.

What is the best way to delete millions of records in SQL?

How to Delete Millions of Rows Fast with SQL

1. Removing all the rows fast with truncate.
2. Using create-table-as-select to wipe a large fraction of the data.
3. Dropping or truncating partitions.
4. Using a filtered table move.

How do I delete a million records in SQL Server?

Why TRUNCATE is DDL?

Although TRUNCATE TABLE is similar to DELETE , it is classified as a DDL statement rather than a DML statement. Truncate operations drop and re-create the table, which is much faster than deleting rows one by one, particularly for large tables. Truncate operations cause an implicit commit, and so cannot be rolled back.

How to delete millions of rows in MySQL?

So, IMO, if you can afford to have the luxury of creating a partition in your table, go for the option #4, otherwise, you are stuck with option #3. Do it in batches of lets say 2000 rows at a time. Commit in-between. A million rows isn’t that much and this will be fast, unless you have many indexes on the table.

How many rows can mysql query at a time?

In this way we’d process the data 10-100,000 rows at a time (Join against id’s 1-100,000 then 100,001-200,000, etc). This was significantly faster than joining against the entire table. Using indexes on very large tables that aren’t based on the primary key is also much more difficult.

Is it possible to delete millions of rows in RDS?

Running on RDS, SELECT INTO OUTFILE is not an option. The easiest would be to run a single delete query, but with several millions of rows concerned and the lack of index on created_at, this would put the server on fire. Adding an index on created_at and status is too time consuming and would lock the table for too long.

How big is the largest MySQL database ever?

If you do absolutely need in-SQL access to individual datapoints ensure you reduce the size of each row to the bare minimum number of fields and the smallest datatype possible. The largest MySQL I’ve ever personally managed was ~100 million rows.