Month: May 2013

Performance, Partitioning, DBA

Improving data move on EXADATA III

TweetShareSharePin0 SharesMoving to history tables In the last post I talked about how we made the speed of actually writing all those log-records much faster. It has to date been so fast that no a single report of a problem has been filed. you find that post here. Once the data was written to the log-tables, it had to be moved to the history tables.This was a process that took around 16 hours. It was never allowed to run for […]

Performance, Partitioning, DBA

Improving data move on EXADATA II

TweetShareSharePin0 SharesWriting log records The last post in this series introduced the problem briefly. You find that post here. In this post I’ll talk about the changes made to make that writing of log records fast enough. There were 50 million records that was written. Each of them pretty much in its own transaction. Of course the commit activity caused problem, as did log buffer issues. Some of this could be somewhat remedied with configuration. The big issue though was that […]

DBA, Performance, Partitioning

Faster data move on EXADATA I

TweetShareSharePin0 SharesIntroduction In my work among other things I tune and tweak solutions for EXADATA. Today I’ll write about a big improvement we achieved with a process that moves data from the operational tables to the ones where the history is stored. This will not be a technical post. While I talk about using advanced technologies, I will not discuss code or deep details of them in this post. And yes, when I say post, I mean a series of […]