Oracle Scratchpad

October 5, 2012

SSD

Filed under: Exadata,Infrastructure,Oracle,Performance,redo — Jonathan Lewis @ 1:04 pm BST Oct 5,2012

There’s never enough time to read everything that’s worth reading, so even though Guy Harrison’s blog is one of the ones worth reading I find that it’s often months since I last read it. Visiting it late last night, I found an interesting batch of articles spread over the last year about the performance of SSD – the conclusions may not be what you expect, but make sure you read all the articles or you might end up with a completely misleading impression:

Don’t forget to read the comments as well. For other notes Guy has written about SSD, here’s a URL for his SSD tag.

October 1, 2012

Row sizes 2

Filed under: fragmentation,Infrastructure,Oracle — Jonathan Lewis @ 6:34 am BST Oct 1,2012

In an earlier post I showed you how you could generate SQL to analyze the distribution of row sizes in a table. In the introduction to the code I made a comment about how it failed to “allow for nulls at the end of rows”; a feature of Oracle storage that isn’t commonly known is that a set of consecutive null columns at the end of a row take up no storage space, while any null columns followed by a non-null column take up one byte (holding the value 0xFF) per column so that Oracle can “count its way” through the null columns to the non-null column. Consider this example:
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September 27, 2012

Row sizes

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 5:32 pm BST Sep 27,2012

A recent question on Oracle-L (a performance problem creating indexes that turned into an issue with migrated rows) prompted me to revisit a piece of code I first wrote about 20 years ago for an Oracle 6 system, and first published in November 2000. It addresses the question of analysing row-lengths in detail and, if you look at the example I’ve linked to, you’ll see that this could be very useful when you’re trying to work out suitable settings for pctfree and why you’re suffering from row migration.

The script is strictly limited to “simple” tables, by which I mean heap tables with columns that are basic data types and don’t include such things as Longs, LOBs, nested tables and all the other nasty things that usually break simple utilities. All it does is estimate the length of each row, then aggregating by row length. The estimate doesn’t allow for nulls at the ends of rows or columns longer than 254 bytes – technically the former don’t need length bytes and the latter use 3 bytes for the length when the column is more than 250 bytes. I don’t use the script often, and haven’t got around to including all the column types it won’t work for – that’s left as an exercise for the reader.
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September 17, 2012

Private Redo

Filed under: Infrastructure,Oracle,redo — Jonathan Lewis @ 8:28 pm BST Sep 17,2012

Following a question on the Oracle Core Addenda pages, here’s a little script to tell you about the sizes of the public and private redo threads currently active in the instance. It’s a minor variation of a script I published in Appendix D (Dumping and Debugging), page 237 to show the addresses of current activity in the various log buffers:
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September 8, 2012

DDL triggers

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 5:14 pm BST Sep 8,2012

One of the partitioning features that Oracle introduced relatively recently was the “interval partition”, for example:

create table transactions (
	account_id		number(8)	not null,
	transaction_date	date		not null,
	transaction_type	varchar2(2)	not null,
	transaction_id		varchar2(10)	not null,
	amount			number(10,2)	not null,
	padding			varchar2(100)
)
partition by range (transaction_date)
interval (numtoyminterval(1,'MONTH'))
(
   partition p200801 values less than (to_date('01-FEB-2008','DD-MON-YYYY'))
)
;

When I insert data into this table for a partition that doesn’t yet exist, Oracle will work out which partition it should be and create it automatically before doing the insert. The benefit of this trick, of course, is that the DBAs and developers don’t have to write any code to add partitions in anticipation of time passing and new data appearing.
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August 27, 2012

Fragmentation ?

Filed under: fragmentation,Infrastructure,LOBs,Oracle — Jonathan Lewis @ 5:15 pm BST Aug 27,2012

Here’s a simple piece of SQL that could, in theory, compare the current size of  a table with the size it might be after a call to “alter table move” – and it’s followed by the results for a table that’s current in the database that I’m looking at:

select
	blocks, num_rows, avg_row_len, pct_free,
	ceil(num_rows * avg_row_len / (8000 * ((100 - pct_free)/100))) blocks_needed
from
	user_tables
where
	table_name = 'T1'
;

    BLOCKS   NUM_ROWS AVG_ROW_LEN   PCT_FREE BLOCKS_NEEDED
---------- ---------- ----------- ---------- -------------
        25       1000          22         10             4

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July 13, 2012

Recursive SQL

Filed under: Infrastructure,Oracle,Partitioning — Jonathan Lewis @ 4:41 pm BST Jul 13,2012

A question came up on the OTN database forum a few days ago asking why a very simple query against a hash partitioned table was doing so much physical I/O to get a very small amount of data from a single partition:

I have table hash-partitioned on an indexed column “id” which is non-unique and part of my primary key. Inside each partition, rows with the same id are located close to each other which is done by dbms_redefinition reorg using orderby_cols. The intention is to reduce the amount of physical reads since there are no queries that don’t filter on the id column.

What I’m seeing is a lot of physical reads though. The first partition has roughly 80K rows, an average row length of 347, block size of 8K and compression … resulting in 821 blocks. And when (after flushing buffered cache and shared pool) submit a query that filters on “id” only and results is 106 selected rows, I see roughly 1400 physical reads.

The poster has clearly applied some careful thought to minimising the work required – so what’s gone wrong ? To help us analyse the problem he posted the results from running a query through autotrace:

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June 14, 2012

PX and system allocation

Filed under: fragmentation,Infrastructure,Oracle,Parallel Execution — Jonathan Lewis @ 5:00 pm BST Jun 14,2012

A few years ago (2007) I wrote about a problem that could appear when you mixed parallel execution with system managed extent allocation. A couple of years later I added a note that Christian Antognini had observed a patch in 11.1.0.7 that addressed the specific issue I had raised. Today, thanks to an email exchange with Christo Kutrovsky of Pythian, I can report that there is a variation of this issue still available even in 11.2.0.3.

The basic problem is that you can end up with a very large number of very small extents, leading to poor performance in parallel queries and a significant waste of space in a data segment. Here’s a simple, though not particularly realistic, way to demonstrate the problem.
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June 7, 2012

File ID

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 5:31 pm BST Jun 7,2012

There was a question on the OTN database forum a little while ago about the different between the relative and absolute files numbers for a data file as reported in view dba_data_files – where they appear as file_id and relative_fno – or v$datafile – where they appear as file# and rfile#. In response, someone resurrected a very old posting of mine from the Usenet newsgroup comp.databases.oracle.server, which says the following:
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June 5, 2012

Truncate Partition

Filed under: Infrastructure,Oracle,Partitioning — Jonathan Lewis @ 5:11 pm BST Jun 5,2012

A recent posting on the OTN database forum (which I didn’t answer correctly on my first attempt) raised the problem of truncating partitions when there are referential integrity constraints in place. Let’s start with a demonstration of the problem:
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May 31, 2012

LMT Headers

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 5:57 pm BST May 31,2012

Here’s another one of those little changes that sidles in when you’re not looking.

When locally managed tablespaces first appeared, there were a number of posts on Usenet (comp.databases.oracle.server) and the metalink lists (the OTN database forum didn’t exist at the time) about “missing” space in data files. The commonest sort of comment was along the lines of

“I’ve created a data file of 100 MB, how come I can only create 99 extents of 1 MB each?”

“I’ve created a data file of 10 GB, how come I can only create 9 extents of 1 GB each?”

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May 28, 2012

Ch-ch-ch-ch-changes

Filed under: Index Rebuilds,Indexing,Infrastructure,Oracle — Jonathan Lewis @ 5:31 pm BST May 28,2012

For those not familiar with Richard Foote’s extensive blog about indexes (and if you’re not you should be) – the title of this note is a blatant hi-jacking of his preferred naming mechanism.

It’s just a short note to remind myself (and my readers) that anything you know about Oracle, and anything published on the Internet – even by Oracle Corp. and its employees – is subject to change without notice (and sometimes without being noticed). I came across one such change today while reading the Expert Oracle Exadata book by Kerry Osborne, Randy Johnson and Tanel Poder. It was just a little throwaway comment on page 429 to the effect that:

In NOARCHIVELOG mode all bulk operations (such as INSERT, APPEND, index REBUILD and ALTER TABLE MOVE) are automatically nologging.

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May 17, 2012

Index Sizing

Filed under: Indexing,Infrastructure,Oracle — Jonathan Lewis @ 8:53 am BST May 17,2012

I was in a discussion recently about how to estimate the size of a bitmap index before you build it, and why it’s much harder to do this for bitmap indexes than it is for B-tree indexes. Here’s what I wrote in “Practical Oracle 8i”:
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April 19, 2012

Drop Constraint

Filed under: Indexing,Infrastructure,Oracle — Jonathan Lewis @ 4:22 pm BST Apr 19,2012

If you drop a unique or primary key constraint the index that supports it may be dropped at the same time – but this doesn’t always happen. Someone asked me recently if it was possible to tell whether or not an index would be dropped without having to find out the hard way by dropping the constraint. The answer is yes – after all, Oracle has to make a decision somehow, so if we can find out how it makes the decision we can predict the decision.

So here’s my best theory so far – along with the observations that led to it. First, run a trace while dropping a primary key constraint and see if this gives you any clues; on an instance running 10gR2 I noticed the following statement appearing in the trace file immediately after the delete from cdef$ (constraint definitions).
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March 30, 2012

Quiz Night

Filed under: Infrastructure,Oracle — Jonathan Lewis @ 5:38 pm BST Mar 30,2012

I know I haven’t been very good about posting on the blog or replying to questions lately (and a big thank you to anyone who has answered some of the recent questions correctly), but tonight is a Friday night, and I have a few moments to spare, so here’s a question prompted by a recent comment on OTN.

I have a table declared as follows (and the ellipsis means repeat the column definitions according to the simplest and most obvious pattern to give you 1,000 columns all of type number(1)):
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