Search

Top 60 Oracle Blogs

Recent comments

12cR1

Bloom Filter Efficiency And Cardinality Estimates

I've recently came across an interesting observation I've not seen documented yet, so I'm publishing a simple example here to demonstrate the issue.

In principle it looks like that the efficiency of Bloom Filter operations are dependent on the cardinality estimates. This means that in particular cardinality under-estimates of the optimizer can make a dramatic difference how efficient a corresponding Bloom Filter operation based on such a cardinality estimate will work at runtime. Since Bloom Filters are crucial for efficient processing in particular when using Exadata or In Memory column store this can have significant impact on the performance of affected operations.

Chinar Aliyev's Blog

Chinar Aliyev has recently started to pick up on several of my blog posts regarding Parallel Execution and the corresponding new features introduced in Oracle 12c.

It is good to see that obviously Oracle has since then improved some of these and added new ones as well.

Here are some links to the corresponding posts:

New automatic Parallel Outer Join Null Handling in 18c

Improvements regarding automatic parallel distribution skew handling in 18c

Chinar has also put some more thoughts on the HASH JOIN BUFFERED operation:

No Asynchronous I/O When Using Shared Server (Also Known As MTS)

I've recently had a case at a client where it was questioned why a particular application was seemingly not making full use of the available I/O capabilities - in comparison to other databases / applications using similar storage.

Basically it ended up in a kind of finger pointing between the application vendor and the IT DBA / storage admins, one side saying that the infrastructure used offers insufficient I/O capabilities (since the most important application tasks where dominated by I/O waits in the database), and the other side saying that the application doesn't make use of the I/O capabilities offered - compared to other databases / applications that showed a significantly higher IOPS rate and/or I/O throughput using the same kind of storage.

Activating and Deactivating Performance Feedback

Performance feedback is one of the adaptive query optimizer features introduced in Oracle Database 12c. The aim of this short post isn’t to explain how it works, but to simply warn you about a buggy behavior in its configuration.

The parameters that control performance feedback in 12c are the following:

  • OPTIMIZER_ADAPTIVE_FEATURES (12.1 only): if set to TRUE (default), performance feedback is enabled. Otherwise, it is disabled.
  • OPTIMIZER_ADAPTIVE_STATISTICS (12.1 with patch 22652097, and 12.2): if set to TRUE, performance feedback is enabled. Otherwise, which is the default, it is disabled.
  • PARALLEL_DEGREE_POLICY (12.1 and 12.2): it has to be set to ADAPTIVE (default is MANUAL) to enable performance feedback.

So far, so good.

Offline Analysis of ASH Data with ASHDUMP

From time to time, it happens to me to carry out offline analyses of ASH data. For that, I mean to analyze the ASH data without having access to the database instance that generated it. For that purpose, Oracle Database provides the possibility to dump the content of the ASH buffer as well as information on how to load it through SQL*Loader to a file. The typical steps to carry out to move the data from the source to the destination database (the best thing is to use a destination database with exactly the same version as the source database) are the following:

On the source database…

12c Adaptive Joins Plus Statistics Feedback For Joins Cardinality Estimate Bug

I've encountered a bug at several clients that upgraded to Oracle 12c - 12.1.0.2 - that requires the combination of several new adaptive features introduced with Oracle 12c.It needs an execution plan that makes use of adaptive join methods, plus at runtime the activation of the new "statistics feedback for joins" feature that was also introduced with Oracle 12c. Note that in 11.2 there was already the "cardinality feedback" feature that only applies to single table cardinality misestimates, but not to join cardinality misestimates.In case then the join method used at runtime is a Nested Loop join - not necessarily the join method preferred initially, so a runtime switch from Hash to Nested Loop join also reproduces the problem - the "statistics feedback for joins" feature generates a bad OPT_ESTIMATE hint for the join cardinality that always seems to be one, like the following: OPT_ESTIMATE(...

Ad – Oracle Database 12c Release 1 and 2: New Performance Features

In the past I gave a number of 1-day seminars about the new performance features available in Oracle Database 12c Release 1. On the 22nd of February, for the first time, I’ll give an updated version of that seminar with content about both Release 1 and Release 2. Note that because there is more content, I extended it from one day to two days.

Queue-based Concurrent Stats Prototype Implementation

This is just a prototype of a queue-based concurrent statistics implementation - using the same basic implementation I've used a a couple of years ago to create indexes concurrently.There are reasons why such an implementation might be useful - in 11.2.0.x the built-in Concurrent Stats feature might turn out to be not really that efficient by creating lots of jobs that potentially attempt to gather statistics for different sub-objects of the same table at the same time - which can lead to massive contention on Library Cache level due to the exclusive Library Cache locks required by DDL / DBMS_STATS calls.In 12.1 the Concurrent Stats feature obviously got a major re-write by using some more intelligent processing what and how should be processed concurrently - some of the details are exposed via the new view DBA_OPTSTAT_OPERATION_TASKS, but again I've seen it running lots of very

Initialization Parameters Set at the PDB Level Are Not Always Honored

Before describing the issue that lead to this post, let’s shortly review how the handling of initialization parameters works in a multitenant environment.