Deleting large amounts of data

All,
I have several tables that have about 1 million plus rows of historical data that is no longer needed and I am considering deleting the data. I have heard that deleting the data will actually slow down performance as it will mess up the indexing, is this true? What if I recalculate statistics after deleting the data? In general, I am looking for advice what is best practices for deleting large amounts of data from tables.
For everyones reference I am running Oracle 9.2.0.1.0 on Solaris 9. Thanks in advance for the advice.
Thanks in advance!
Ron

Another problem with delete is that it generates a vast amount of redo log (and archived logs) information . The better way to get rid of the unneeded data would be to use TRUNCATE command:
http://download-west.oracle.com/docs/cd/B10501_01/server.920/a96540/statements_107a.htm#2067573
The problem with truncate that it removes all the data from the table. In order to save some data from the table you can do next thing:
1. create another_table as select * from <main_table> where <data you want to keep clause>
2. save the indexes, constraints, trigger definitions, grants from the main_table
3. drop the main table
4. rename <stage_table> to <main_table>.
5. recreate indexes, constraints and triggers.
Another method is to use partitioning to partition the data based on the key (you've mentioned "historical" - the key could be some date column). Then you can drop the historical data partitions when you need it.
As far as your question about recalculating the statistics - it will not release the storage allocated for index. You'll need to execute ALTER INDEX <index_name> REBUILD :
http://download-west.oracle.com/docs/cd/B10501_01/server.920/a96540/statements_18a.htm
Mike

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Delete large amounts of data from a table

I have a table with about 10 fields to store info for customers. Over time as we have added more customers that table has grown to about 14 million rows. As the data comes in a service constantly inserts a row into the table. 90% of the data is not revelent
i.e. I don't want data that is 3 months ago, but the most recent data is used to generate tracking reports. My goal is to write a sql to perform a purge of the data that is older than a month.
Here is my problem I can NOT use TRUNCATE TABLE as I would lose everything? Yesterday I wrote a delete table statement with a where clause. When I ran it on a test system it locked up my table and the simulation gps inserts were intermittently failing. Also
my transaction log grew to over 6GB as it attempted to log each delete.
My first thought was to delete the data a little at a time starting with the oldest first but I was wondering if there was a better way.I am expecting solutions apart from these :
1.Create a temp DB and copy the required data into temp Db and truncate the original.
2.Deleting in chunks(i.e.,1000 -10000 records at a time).
3.Set the Recovery mode as simple

I agree with Satish (+1)
This
is the right way to do it. Your database architect should think about this, and you can use partitioning by the condition for deleting (for example years if you are deleting old year data).
check this like for more details (but most of what you need
Satish already mentioned): http://www.sqlservercentral.com/scripts/Truncate+Table/69506/
* in the link you have SP named TRUNCATE_PARTITION which you can use
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With journaling, I have found that my computer is saving a large amount of data, logs of all the changes I make to files; how can I clean up these logs?

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What is the best practice of deleting large amount of records?

hi,
I need your suggestions on best practice of deleting large amount of records of SQL Azure regularly.
Scenario:
I have a SQL Azure database (P1) to which I insert data every day, to prevent the database size grow too fast, I need a way to remove all the records which is older than 3 days every day.
For on-premise SQL server, I can use SQL Server Agent/job, but, since SQL Azure does not support SQL Job yet, I have to use a Web job which scheduled to run every day to delete all old records.
To prevent the table locking when deleting too large amount of records, in my automation or web job code, I limit the amount of deleted records to
5000 and batch delete count to 1000 each time when calling the deleting records stored procedure:
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2. Get the total iterations: iteration = (total count/5000)
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for(int i=0;i<iterations;i++)
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And the stored procedure is something like this:
BEGIN
INSERT INTO @table
SELECT TOP (@MaxCount) [RecordId] FROM [MyTable] WHERE [CreateTime] < DATEADD(DAY, -3, GETDATE())
END
DECLARE @RowsDeleted INTEGER
SET @RowsDeleted = 1
WHILE(@RowsDeleted > 0)
BEGIN
  WAITFOR DELAY '00:00:01'
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END
It basically works, but the performance is not good. One example is, it took around 11 hours to delete around 1.7 million records, really too long time...
Following is the web job log for deleting around 1.7 million records:
[01/12/2015 16:06:19 > 2f578e: INFO] Start getting the total counts which is older than 3 days
[01/12/2015 16:06:25 > 2f578e: INFO] End getting the total counts to be deleted, total count:
1721586
[01/12/2015 16:06:25 > 2f578e: INFO] Max delete count per iteration: 5000, Batch delete count
1000, Total iterations: 345
[01/12/2015 16:06:25 > 2f578e: INFO] Start deleting in iteration 1
[01/12/2015 16:09:50 > 2f578e: INFO] Successfully finished deleting in iteration 1. Elapsed time:
00:03:25.2410404
[01/12/2015 16:09:50 > 2f578e: INFO] Start deleting in iteration 2
[01/12/2015 16:13:07 > 2f578e: INFO] Successfully finished deleting in iteration 2. Elapsed time:
00:03:16.5033831
[01/12/2015 16:13:07 > 2f578e: INFO] Start deleting in iteration 3
[01/12/2015 16:16:41 > 2f578e: INFO] Successfully finished deleting in iteration 3. Elapsed time:
00:03:336439434
Per the log, SQL azure takes more than 3 mins to delete 5000 records in each iteration, and the total time is around
11 hours.
Any suggestion to improve the deleting records performance?

This is one approach:
Assume:
1. There is an index on 'createtime'
2. Peak time insert (avgN) is N times more than average (avg). e.g. supposed if average per hour is 10,000 and peak time per hour is 5 times more, that gives 50,000. This doesn't have to be precise.
3. Desirable maximum record to be deleted per batch is 5,000, don't have to be exact.
Steps:
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3. Divide 3 days (4,320 minutes) with 1,000 gives 4.32 minutes.
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Frank

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LuI wrote:
>
> Hi all,
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