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August 2019

AUSOUG Connect 2019 Conference Series

  AUSOUG will again be running their excellent CONNECT 2019 conference series this year at the following great venues: Monday 14th October – Rendezvous Hotel In Melbourne Wednesday 16th October –  Mercure Hotel in Perth As usual, there’s a wonderful lineup of speakers from both Australia and overseas including: Connor McDonald Scott Wesley Guy Harrison […]

Join View

It’s strange how one thing leads to another when you’re trying to check some silly little detail. This morning I wanted to find a note I’d written about the merge command and “stable sets”, and got to a draft about updatable join views that I’d started in 2016 in response to a question on OTN (as it was at the time) and finally led to a model that I’d written in 2008 showing that the manuals were wrong.

pgbench retry for repeatable read transactions — first (re)tries

pgbench retry for repeatable read transactions — first (re)tries

Trying a no-patch solution for pgbench running on repeatable read transactions, using a custom script with PL/pgSQL

In a previous post I was running pgBench on YugaByteDB in serializable isolation level. But Serializable is optimistic and requires that the transactions are re-tried when failed. But pgBench has no retry mode. There was a patch proposed in several commit fests for that, but patch acceptance is a long journey in PostgreSQL:

WIP: Pgbench Errors and serialization/deadlock retries

DDL invalidates your SQL right ?

I stumbled upon this post by optimizer guru Nigel Bayliss last week, so please have a read of that first before proceeding. But I wanted to show a simple demo of how management of cursors continues to improve with each version of the database.

Oracle 19c Automatic Indexing: My First Auto Index (Absolute Beginners)

I am SOOOO struggling with this nightmare block editor but here goes. Please excuse any formatting issues below: I thought it was time to show the new Oracle 19c Automatic Indexing feature in action and what better way than to go through how I created my first ever Automatic Index. To start, I create a […]

ORA-14300 partitioning key maps to a partition outside maximum permitted number of partitions and NULLs

While researching interval partitioning in Oracle 19c I came across a phenomenon I had already solved a long time ago but then forgot about. This time I decided to write about it so I don’t have to spend 5 minutes rediscovering the wheel. As always, if you are following along, make sure you are appropriately licensed for this feature

The Situation

Consider the following example:

Oracle Connection Manager (CMAN) quick reporting script

Here is a script I use to parse Connection Manager “show service”

List services registered by instance

CMCTL can show the services in a long list, but I want something quick like this, with one line per service, and one column per endpoint that registers to CMAN:

script output, a bit obfuscated

The following script

No more stale statistics in 19c

There is an odd contradiction that we all encounter for most databases, especially if they are predominantly used during the business day. Here is how that contradiction comes to be – it is in the way that we obtain and use optimizer  statistics on those databases. The contradiction runs like this:

  • To minimize service disruption, we gather statistics at a quiet time, for example, in the middle of the night
  • We then use those statistics during the business day whilst user activity is at its highest.
  • Highest user activity will typically mean the highest frequency of data changes.
  • Hence the statistics are at their peak accuracy when no-one is using them to optimize queries, and they are at their least accurate when everyone is using them to optimize queries!

We can demonstrate this easily with the following script run in 18c.

2019 Public Appearances (What In The World)

I’ll be presenting at a number of Oracle events over the remainder of the year. Details as follows: Oracle Open World – San Francisco (16-19 September 2019)


What happens when you execute dbms_stats.gather_system_stats() with the ‘Exadata’ option ?

Here’s what my system stats look like ( test results) after doing so. (The code to generate the two different versions is at the end of the note).