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Upgrades

MySQL Upgrades

I read Wim Coekaerts post about the MySQL 5.6.20-4 this morning. I logged on to my server and did the following command as root.

# yum update -y

That’ll be the upgrade done then… :)

If you are using MySQL on Linux you can use the MySQL Repository for your distribution, rather than using the bundled MySQL version, to make sure you stay up to date with the latest and greatest. As long as you stay within a point release (5.6, 5.7 etc.) of the latest version, upgrades should really be as simple as a “yum update”.

NVL() change

One of the problems of functions is that the optimizer generally doesn’t have any idea on how a predicate based on function(col) might affect the cardinality. However,  the optimizer group are constantly refining the algorithms to cover an increasing number of special cases more accurately. This is a good thing, of course – but it does mean that you might be unlucky on an upgrade where a better cardinality estimate leads to a less efficient execution plan. Consider for example the simple query (where d1 is column of type date):

select	*
from	t1
where	nvl(d1,to_date('01-01-1900','dd-mm-yyyy')) < sysdate

Now, there are many cases in many versions of Oracle, where the optimizer will appear to calculate the cardinality of

nvl(columnX,{constant}) operator {constant}

as if it were:

NVL() change

One of the problems of functions is that the optimizer generally doesn’t have any idea on how a predicate based on function(col) might affect the cardinality. However,  the optimizer group are constantly refining the algorithms to cover an increasing number of special cases more accurately. This is a good thing, of course – but it does mean that you might be unlucky on an upgrade where a better cardinality estimate leads to a less efficient execution plan. Consider for example the simple query (where d1 is column of type date):

select	*
from	t1
where	nvl(d1,to_date('01-01-1900','dd-mm-yyyy')) < sysdate

Now, there are many cases in many versions of Oracle, where the optimizer will appear to calculate the cardinality of

nvl(columnX,{constant}) operator {constant}

as if it were:

Subquery Anomaly

Here’s an oddity that appeared on the OTN database forum last night:

We have this query in our application which works fine in 9i but fails in 11gR2 (on Exadata) giving an “ORA-00937: not a single-group group function” error….

… The subquery is selecting a column and it doesn’t have a group by clause at all. I am not sure how is this even working in 9i. I always thought that on a simple query using an aggregate function (without any analytic functions / clause), we cannot select a column without having that column in the group by clause. So, how 11g behaves was not a surprise but surprised to see how 9i behaves. Can someone explain this behaviour?

Upgrades to 11g are finally complete

Just a little slice of reality to cut through all the 12c stuff that is floating around at the moment. I’ve just moved the last of our databases to 11g. Yay! As well as upgrading, we’ve been culling or consolidating old and unused stuff, which has drastically reduced and simplified our Oracle database landscape.

We currently have four projects running databases on HP-UX on Itanium (spit), one project on Solaris and the rest on Oracle Linux under VMware. If I had my way we would kick out HP-UX and Solaris and do everything on Oracle Linux.

We’ve still got one project on 11gR1, but that is being held back intentionally because of some issues with the vendor of the application that runs against it. Hopefully that will soon be on 11gR2 also.

Hash Clusters – 3

This note is a quick summary of an oddity that came to light after a twitter conversation with Christian Antognini yesterday. First a little test script to get things going:

STS, OFE and SPM

That’s SQL Tuning Sets, optimizer_features_enable, and SQL Plan Management.

There’s a recent post on OTN describing an issue when using SQL Tuning Sets to enforce plan stability when upgrading from 10.2.0.3 to 11.2.0.3 – it doesn’t always work. Here’s a very simple model to demonstrate the type of thing that can happen (the tables are cloned from a completely different demo, so don’t ask why I picked the data they hold):

ACS

You’ve probably heard about adaptive cursor sharing, and possibly you’ve wondered why you haven’t seen it happening very often on your production systems (assuming you’re running a modern version of Oracle). Here’s a little bug/fix that may explain the non-appearance.

MOS Doc ID 9532657.8 Adaptive cursor sharing ignores SELECTs which are not fully fetched.

This bug is confirmed in 11.2.0.1, and fixed in 11.2.0.3. The problem is that the ACS code doesn’t process the statistical information from the cursor unless the cursor reaches “end of fetch” – i.e. if you don’t select all the data in your query, Oracle doesn’t consider the statistics of that execution when deciding whether or not to re-optimise a statement.

Index Upgrades

Listening to a presentation by Paul Matuszyk on extended statistics yesterday, I learned something that I should have spotted ages ago. Here’s a little demo script to introduce the point:

create table t1
as
with generator as (
	select	--+ materialize
		rownum id
	from dual
	connect by
		level <= 1000)
select
	rownum			id,
	mod(rownum,100)		n1,
	mod(rownum,100)		n2,
	mod(rownum,100)		n3,
	lpad(rownum,10,'0')	small_vc,
	rpad('x',100)		padding
from
	generator	v1,
	generator	v2
where
	rownum <= 1000000;

create index t1_i1 on t1(n1, n2, n3);

-- collect stats, no histograms.

Subquery Factoring

When I wrote a note last week about the fixes to the subquery factoring optimizer code in 11.2.0.3, I finished with a comment about having more to say on the test case if I materialized the subquery. Today’s the day to talk about it. As a reminder, here’s the query, but with the /*+ materialize */ hint in place:

with subq as (
	select
	/*+ materialize */
		outer.*
	from
		emp outer
	where
		sal > 1000000
	and	outer.sal > (
			select
				avg(inner.sal)
 			from	emp inner
			where	inner.dept_no = outer.dept_no
		)
	)
select	*
from	subq
;

Here are the three plans – from 10.2.0.5, 11.1.0.7, and 11.2.0.3 respectively: