Oracle Scratchpad

February 12, 2014

Caution – hints

Filed under: Hints,Oracle — Jonathan Lewis @ 6:57 pm BST Feb 12,2014

Here’s a little example of why you should be very cautious about implementing undocumented discoveries. If you take a look at the view v$sql_hints in 11.2.0.4 you’ll discover a hint (no_)cluster_by_rowid; and if you look in v$parameter you’ll discover two new parameters _optimizer_cluster_by_rowid and _optimizer_cluster_by_rowid_control.

It doesn’t take much imagination to guess that the parameters and hint have something to do with the costs of accessing compressed data by rowid on an Exadata system (see, for example, this posting) and it’s very easy to check what the hint does:

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June 20, 2011

Optimisation

Filed under: Oracle,Performance,Tuning — Jonathan Lewis @ 6:20 pm BST Jun 20,2011

A question came up on Oracle-L recently about the difference in work done by the following two queries:

SELECT /*+ RULE */
	DOM_NAME
FROM
	DOMAINS,
	TABLE(CAST(:B1 AS DOMAIN_LIST)) DL
WHERE
	DOM_NAME = DL.COLUMN_VALUE
;

SELECT
	DOM_NAME
FROM
	DOMAINS
WHERE
	DOM_NAME IN (
		SELECT	COLUMN_VALUE
		FROM	TABLE(CAST(:B1 AS  DOMAIN_LIST))
	)
;

Before saying anything else, I should point out that these two queries are NOT logically equivalent unless you can guarantee that the table() operator returns a unique set of values – and Oracle doesn’t allow uniqueness to be enforced on collections.

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April 19, 2011

More CR

Filed under: Infrastructure,Oracle,Performance,Read Consistency,Troubleshooting,undo — Jonathan Lewis @ 6:32 pm BST Apr 19,2011

Following on from yesterday’s post on consistent reads, I thought I’d make the point that the way you work can make an enormous difference to the amount of work you do. Here’s a silly little demo (in 10.2.0.3):
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January 21, 2011

Quiz Night

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 7:04 pm BST Jan 21,2011

Here’s an execution plan pulled from v$sql_plan in 10.2.0.3 with the “gather_plan_statistics” option enabled:

----------------------------------------------------------------------------------------
| Id  | Operation                    | Name   | Starts | A-Rows |   A-Time   | Buffers |
----------------------------------------------------------------------------------------
|   1 |  NESTED LOOPS                |        |      1 |      0 |00:00:00.01 |     608 |
|   2 |   TABLE ACCESS BY INDEX ROWID| PARENT |      1 |    200 |00:00:00.01 |       6 |
|   3 |    INDEX RANGE SCAN          | PAR_I1 |      1 |    200 |00:00:00.01 |       2 |
|   4 |   TABLE ACCESS BY INDEX ROWID| CHILD  |    200 |      0 |00:00:00.01 |     602 |
|   5 |    INDEX UNIQUE SCAN         | CHI_I1 |    200 |    200 |00:00:00.01 |     402 |
----------------------------------------------------------------------------------------

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June 12, 2009

Consistent Gets – 2

Filed under: Infrastructure — Jonathan Lewis @ 8:45 pm BST Jun 12,2009

How would you describe “db  block gets” and “consistent gets” in a couple of short paragraphs ? Having asked the question, I suppose I ought to offer my version of the answer up for scrutiny and dissection.

Before supplying my descriptions, I’d like to point out that there are (at least) two other mechanisms that Oracle uses to visit data blocks in the buffer cache: re-visiting pinned buffers, and doing a fast cleanout on commit. These buffer visits can be seen in the statistics: “buffer is pinned count” and “commit cleanouts successfully completed”. (The statistic “commit cleanouts” tells you how many times Oracle tried to do a commit cleanout and there are various statistics to explain the failures.)

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January 16, 2009

Concurrency

Filed under: Infrastructure — Jonathan Lewis @ 7:00 pm BST Jan 16,2009

When you get into big, busy, systems one of the final barriers you have to overcome is the concurrency issue; and after you’ve designed and fiddled and tweaked everything else it’s latch acquisition that is often the final barrier to extreme levels of concurrency.

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October 14, 2008

Going too fast

Filed under: CBO,Execution plans,Performance,Statistics,Troubleshooting,Tuning — Jonathan Lewis @ 6:10 pm BST Oct 14,2008

I received an email a litle while ago with an unusual problem. It said:

“One of the jobs which used to take more than one hour to complete is now completing in less than 10 minutes. Neither the application developer nor we (the DBA’s) made *any* changes in the environment/code/database. I can’t work out why it’s got better!”

 

It’s not often that “going faster” is a problem – but there’s a very good reason for being worried about jobs that go faster for no apparent reason – one day your luck is going to run out and the jobs are going to go slower again – and people really notice when things slow down.

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February 9, 2008

Index Rebuild 10g

Filed under: Infrastructure,Performance,Troubleshooting — Jonathan Lewis @ 9:12 am BST Feb 9,2008

I’ve written a few notes about the pros and cons of index rebuilds in the past. A comment on Richard Foote’s blog describes a bug in 10g (reminiscent of an old index root block bug in early versions of 8i) which adds a little extra twist to the issue.

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