Technical

Just a quick code snippit. I do a lot of data pumps to move schemas between different databases; for example taking a copy of a schema to an internal database to try to reproduce a problem. Some of these schemas have some very large tables. The large tables aren’t always needed to research a particular problem.

Here’s a quick bit of SQL to list the 20 largest tables by total size – including space used by indexes and LOBs. A quick search on google didn’t reveal anything similar so I just wrote something up myself. I’m pretty sure this is somewhat efficient; if there’s a better way to do it then let me know! I’m posting here so I can reference it in the future. :)

Just a quick code snippit. I do a lot of data pumps to move schemas between different databases; for example taking a copy of a schema to an internal database to try to reproduce a problem. Some of these schemas have some very large tables. The large tables aren’t always needed to research a particular problem.

Here’s a quick bit of SQL to list the 20 largest tables by total size – including space used by indexes and LOBs. A quick search on google didn’t reveal anything similar so I just wrote something up myself. I’m pretty sure this is somewhat efficient; if there’s a better way to do it then let me know! I’m posting here so I can reference it in the future. :)

This is the fourth of twelve articles in a series called Operationally Scalable Practices. The first article gives an introduction and the second article contains a general overview. In short, this series suggests a comprehensive and cogent blueprint to best position organizations and DBAs for growth.

This is the fourth of twelve articles in a series called Operationally Scalable Practices. The first article gives an introduction and the second article contains a general overview. In short, this series suggests a comprehensive and cogent blueprint to best position organizations and DBAs for growth.

This is the fourth of twelve articles in a series called Operationally Scalable Practices. The first article gives an introduction and the second article contains a general overview. In short, this series suggests a comprehensive and cogent blueprint to best position organizations and DBAs for growth.

Tanel does offer a zip file with all of his scripts. The zip seems up-to-date now; I started doing this alternative technique awhile ago when the zip file didn’t seem to get updated as quickly as the raw scripts directory.

  mkdir tpt
  cd tpt

wget -r -nH --cut-dirs=2 --no-parent --reject="index.html*" http://blog.tanelpoder.com/files/scripts/

  cd ..

[svn/git] add tpt
[svn/git] commit tpt -m "added Tanel Poder's script library to our script repository"

Please remember that as Tanel says on his own website, “always proofread the scripts and test their effect out in a test environment before running in production.”

Tanel does offer a zip file with all of his scripts. The zip seems up-to-date now; I started doing this alternative technique awhile ago when the zip file didn’t seem to get updated as quickly as the raw scripts directory.

  mkdir tpt
  cd tpt

wget -r -nH --cut-dirs=2 --no-parent --reject="index.html*" http://blog.tanelpoder.com/files/scripts/

  cd ..

[svn/git] add tpt
[svn/git] commit tpt -m "added Tanel Poder's script library to our script repository"

Please remember that as Tanel says on his own website, “always proofread the scripts and test their effect out in a test environment before running in production.”

Just filing this away on my own blog because it seems that I always have hard finding it via google.  Here’s some code to convert raw/hex values into timestamps.  (I’ve come across this need in two situations: [1] bind variables recorded in trace files or sql monitor and [2] hi/low values in column statistics.)

As a query, without creating any objects in the database:

Just filing this away on my own blog because it seems that I always have hard finding it via google.  Here’s some code to convert raw/hex values into timestamps.  (I’ve come across this need in two situations: [1] bind variables recorded in trace files or sql monitor and [2] hi/low values in column statistics.)

As a query, without creating any objects in the database:

This is a little surprising to me because it’s so simple – but I couldn’t find a script anywhere on oracle support or on the internet which elegantly (IMHO) cleaned up archived logs on a standby system.  (Specifically, a RAC/thread aware script.)

There are a few scripts published: