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Index FFS Cost

There are a number of unexpected issues with the optimizer’s treatment of the index fast full scan, the access path where Oracle ignores the structure of the B-tree and uses multiblock reads to do a brute-force segment scan as if the index were a “skinny table” with a few blocks of irrelevant garbage (i.e. the branch blocks) that could be ignored.

Oracle 19c Automatic Indexing: Data Skew Fixed By Baselines Part II (Sound And Vision)

  In my previous post, I discussed how the Automatic Indexing task by using Dynamic Sampling Level=11 can correctly determine the correct query cardinality estimates and assume the CBO will likewise determine the correct cardinality estimate and NOT use an index if it would cause performance to regress. However, if other database sessions DON’T use […]

Oracle 19c Automatic Indexing: Data Skew Fixed By Baselines Part I (The Prettiest Star))

In my previous few blog posts, I’ve been discussing some issues in relation to how Automatic Indexes handle SQL statements that accesses skewed data. In this post, I’m going to setup the scenario in which Automatic Indexing can potentially use Baselines to help address some of these issues. BUT, as we’ll see, I’m having to […]

Oracle 19c Automatic Indexing: CBO Incorrectly Using Auto Indexes Part II ( Sleepwalk)

As I discussed in Part I of this series, problems and inconsistencies can appear between what the Automatic Indexing processing thinks will happen with newly created Automatic Indexing and what actually happens in other database sessions. This is because the Automatic Indexing process session uses a much higher degree of Dynamic Sampling (Level=11) than other […]

Oracle 19c Automatic Indexing: CBO Incorrectly Using Auto Indexes Part I (Neighborhood Threat)

Following on from my previous few posts on “data skew”, I’m now going to look at it from a slightly different perspective, where there is an inherent relationship between columns. The CBO has difficulties in recognising (by default) that some combinations of column values are far more common than other combinations, resulting in incorrect cardinality […]

Oracle 19c Automatic Indexing: Data Skew Part III (The Good Son)

  I’m going to expand just a tad on my previous posts on data skew and run a simple query that returns a few rows based on a column predicate AND another query on the same column that returns many rows. The following table has a CODE column as with previous posts with the data […]

Bloom Upgrade

It’s a common pattern of Oracle features that they start with various restrictions or limitations that disappear over time. This note is about an enhancement to Bloom filter processing that appeared in the 18.1 optimizer and, for some people, may be a good enough reason for upgrading to a newer version of Oracle. This enhancement came to my attention through a question on the Oracle Developer forum asking how to get a Bloom filter pushed inside a UNION ALL view. The original requirement wasn’t a trivial one so I’ll demonstrate the problem with a very simple example – first the data set:

Oracle 19c Automatic Indexing: Poor Data Clustering With Autonomous Databases Part III (Star)

In Part I we looked at a scenario where an index was deemed to be too inefficient for Automatic Indexing to create a VALID index, because of the poor clustering of data within the table. In Part II we improved the data clustering but the previous SQLs could still not generate a new Automatic Index […]

Recursive WITH upgrade

There’s a notable change in the way the optimizer does cost and cardinality calculations for recursive subquery factoring that may make some of your execution plans change – with a massive impact on performance – as you upgrade to any version of Oracle from 12.2.0.1 onwards. The problem appeared in a question on the Oracle Developer Community forum a little while ago, with a demonstration script to model the issue.

I’ve copied the script – with a little editing – and reproduced the change in execution plan described by the OP. Here’s my copy of the script, with the insert statements that generate the data (all 1,580 of them) removed.

Oracle 19c Automatic Indexing: Common Index Creation Trap (Rat Trap)

When I go to a customer site to resolve performance issues, one of the most common issues I encounter is in relation to inefficient SQL. And one of the most common causes for inefficient SQL I encounter is because of deficiencies the default manner by which the index Clustering Factor is calculated. When it comes […]