Sorted Hash Clusters have been around for several years, but I’ve not yet seen them being used, or even investigated in detail. This is a bit of a shame, really, because they seem to be engineered to address a couple of interesting performance patterns.
August 28, 2013
August 15, 2013
Here’s a funny little problem I came across some time ago when setting up some materialized views. I have two tables, orders and order_lines, and I’ve set up materialized view logs for them that allow a join materialized view (called orders_join) to be fast refreshable. Watch what happens if I refresh this view just before gathering stats on the order_lines table.
August 6, 2013
I’ve written a few notes about anomalies in subquery factoring (with subquery) in the past, principally making a fuss about the fact that moving an inline view into a “with subquery” can cause a plan to change even when the internal code moves the subquery back in line. With the arrival of 12c one of my first sets of tests was to rerun all the examples to see how many of them had been addressed. I hadn’t written about as many examples as I had thought, and some of them had been fixed before 12c, but here are few references to a couple of outstanding items that I thought worth a mention:
- Order by elimination disappeared – still broken
- Disappearance of semi-join transformation – fixed
- Consistency in view merging – fixed (in 184.108.40.206)
June 28, 2013
Now that 12c is out, here’s an idea that might save you some time even if you have no intention of migrating to, or even testing, the product for a couple of years. Download the “List of bugs fixed in 12c”: you may find that it’s the best starting point when you’re trying to solve a problem in your current version of Oracle.
A slightly more sophisticated version of the same thing – download and install the product, then take a dump of v$system_fix_control – that may also give you some insight into anomalies (that are not necessarily declared as bugs) in the way Oracle – and the optimizer in particular – behave. I updated the referenced note to add in a couple of figures for 12.1 – but one figure that’s not there is the number of database parameters: now at 368 in the v$ and 3,333 in the x$ (in my Beta 3 release).
June 21, 2013
I’ll probably have to file this one under “Optimizer ignoring hints” – except that it should also go under “bugs”, and that’s one of the get-out clauses I use in my “hints are not hints” argument.
Sometimes an invisible index isn’t completely invisible.
June 12, 2013
Actually it’s probably not the NOT IN that’s nasty, it’s the thing you get if you don’t use NOT IN that’s more likely to be nasty. Just another odd little quirk of the optimizer, which I’ll demonstrate with a simple example (running under 220.127.116.11 in this case):
June 10, 2013
Here’s a funny little bug – which probably won’t cause any damage – that may remind you that (most of) the people who work for Oracle are just ordinary people like you and me who make ordinary little mistakes in their programming. It’s a bug I discovered by accident because I just wanted to check something about how a particular undo tablespace had been defined, and I called dbms_metadata instead of querying dba_tablespaces. Here’s the cut-n-paste from an SQL*Plus session on 18.104.22.168:
June 4, 2013
Here’s a suggestion to help you avoid wasting time. If you ever include the rowid in a query – not that that should happen very commonly – make sure you give it an alias, especially if you’re using ANSI SQL. If you don’t, you may find yourself struggling to work out why you’re getting an irrational error message. Here’s an example that appeared recently on the OTN forum, with the output cut-n-pasted from a system running 22.214.171.124:
April 16, 2013
For your entertainment – there’s nothing up my sleeves, this was a simple cut-n-paste after real-time typing with no tricks:
20:39:51 SQL> create table t1 (t1 timestamp); Table created. 20:39:55 SQL> insert into t1 values(systimestamp); 1 row created. 20:39:59 SQL> select t1 - systimestamp from t1; T1-SYSTIMESTAMP --------------------------------------------------------------------------- +000000000 04:59:50.680620 1 row selected. 20:40:08 SQL>
March 29, 2013
From time to time I’ve looked at an AWR report and pointed out to the owner the difference in work load visible in the “SQL ordered by” sections of the report when they compare the summary figure with the sum of the work done by the individual statements. Often the summary will state that the captured SQL in the interval represents some percentage of the total workload in the high 80s to mid 90s – sometimes you might see a statement that the capture represents a really low percentage, perhaps in the 30s or 40s.
You have to be a little sensible about interpreting these figures, of course – at one extreme it’s easy to double-count the cost of SQL inside PL/SQL, at the other you may notice that every single statement reported does about the same amount of work so you can’t extrapolate from a pattern to decide how significant a low percentage might be. Nevertheless I have seen examples of AWR reports where I’ve felt justified in suggesting that at some point in the interval some SQL has appeared, worked very hard, and disappeared from the library cache before the AWR managed to capture it.
Now, from Nigel Noble, comes another explanation for why the AWR report might be hiding expensive SQL – a bug, which doesn’t get fixed until 12.2 (although there are backports in hand).
March 20, 2013
Here’s an oddity that I ran into a little while ago while trying to prepare a sample trace file showing a particular locking pattern; it was something that I’d done before, but trace files can change with different versions of Oracle so I decided to use a copy of 126.96.36.199 that happened to be handy at the time to check if anything had changed since the previous (11gR1) release. I never managed to finish the test; here are the steps I got through:
January 17, 2013
Here’s a very long post (which is mainly an example) demonstrating a little bug in the “explain plan” functionality. It’s a variation of a bug which I thought had been fixed in 11g, but it still appears in some cases. Take a look at this execution plan, which comes from explaining “select * from dba_tab_cols” – the bit I want to emphasise is in lines 1 to 10:
January 6, 2013
Just a quick note to say that I found a blog over the weekend with a number of interesting posts, so I thought I’d pass it on: http://www.bobbydurrettdba.com/
There’s a really cute example (complete with test case) of an optimizer bug (possibly only in 11.1) in the December archive: http://www.bobbydurrettdba.com/2012/12/04/index-causes-poor-performance-in-query-that-doesnt-use-it/
November 30, 2012
Sometimes you find bugs on MOS (Metalink, OCIS, whatever) that make you feel positively ill. I’ve just been on a customer site where (in passing) they mentioned that one of their historic queries against v$sqlstats now tool just over one second (CPU) in 188.8.131.52 when it had previously taken about 200ms on 10.2.0.4***. After a little checking it seemed likely that the change was possibly related to the fact that they had increased the size of the SGA significantly, allowing for a much larger shared pool and library cache; however there have been numerous code changes in the shared pool area on the route from 10g to 11g, so I decided to check MOS to see if anyone else had seen a similar problem. I found this:
September 11, 2012
A recent post on Oracle-l complained about an oddity when deleting through a function-based index.
I have a function based index but the CBO is not using it. The DML that I expect to have a plan with index range scan is doing a FTS. Its a simple DML that deletes 1000 rows at a time in a loop and is based on the column on which the FBI is created.
Although execution plans are mentioned, we don’t get to see the statement or the plan – and it’s always possible that there will be some clue in the (full) plan that tells us something about the code that the OP has forgotten to mention. However, function-based indexes have a little history of not doing quite what you expect, so I thought I’d take a quick look at the problem, starting with the simplest possible step – do function-based indexes and “normal” b-tree indexes behave differently on a delete. Here’s the data set I created for my test: