Oracle slow SQL query against dba_segments solved

July 18, 2014 by 3 Comments 

I remember when long time ago one database consultant confused my manager saying that our Oracle 9i database had poor performance just taking into account a slow response from dba_segments data dictionary view.  That was a nasty trick to blame a DBA and the Oracle database for poor performance at that time. In fact there were a few Oracle bugs related to those performance issues after switching from dictionary to locally managed tablesspaces at that time. Recently I’ve noticed similar performance degradation on Oracle 11gR2 (11.2.0.2 and 11.2.0.3) by querying DBA_SEGMENTS or USER_SEGMENTS data dictionary views involving the columns BYTES, BLOCKS, or EXTENTS. Queries on DBA_TS_QUOTAS or USER_TS_QUOTES on columns BYTES or BLOCKS were also slow.

Even if you personally do not care about these dictionary views they are still very important since they are used by some Oracle internal components and the other database tools including Oracle Enterprise Manager (OEM) Cloud Control and its Database Home Page. Thus, I’ll describe below the problematic of those data dictionary views and the way how to fix their performance issues.

First of all do not wonder why queries against those views often seem to slow. DBA_SEGEMENTS for example is a very complex view that is built on another SYS_DBA_SEGS view. In summary DBA_SEGMENTS view on Oracle 11gR2 consists of the following components:

– 25 columns
– around 110 lines of SQL code
– 3 UNION ALL clauses
– A lot of joins between following tables: sys.user$, sys.ts$, sys.undo$, sys.seg$, sys.file$

Read more »

Column-Oriented Databases vs RDBMS and Oracle

May 30, 2014 by Leave a comment 

This is the second part of my article about Column-Store databases. In the first part Column-Oriented Databases – Old Idea, New wave I was focusing on topics like performance and functionality of Column-Oriented Databases and their comparison to RDBMS, specifically to Oracle database. This time I will continue the comparison of two database camps – Column-Stores vs Row-Stores – in areas of compression, partitioning. I’ll mention also the usage of Column-oriented storage benefits in Oracle products, like for example a new Oracle 12c database In-Memory Option.

Compression of columns vs rows

One of the potential advantages of column-oriented storage is the possibility of good compression. It is important to understand why compressing the data can be advantageous. It is not primarily the pure cost of having enough disk space to cover the physical size of the data that matters – disks are relatively cheap and are getting larger and cheaper at a steady rate. Rather, the potential benefit is when data has to be retrieved from disk as part of processing queries. Good I/O bandwidth is not cheap and techniques, such as compression, that reduce the size of the data that is retrieved from storage can be very advantageous, although there is usually some CPU-cost associated with compressing and uncompressing the data.

Oracle for example provides several major mechanisms for utilizing compression to benefit query processing. One is the row-level objects compression feature; another is Exadata Hybrid Columnar Compression – HCC (see below).

Partitioning VERTICAL vs HORIZONTAL

Column-oriented storage is a form of vertical partitioning of the data. One of the disadvantages of this type of partitioning is Read more »

Column-Oriented Databases – Old Idea, New wave

May 23, 2014 by Leave a comment 

During the last few years I went through several POC of different Column-Store databases reviewing their functionality, performance and use cases. Usually at the beginning of every exercise I saw the impressive vendor promises of reach functionality, great performance and scalability. Some even said: this is a new trend in database world, even a standard! You do not need RDBMS anymore!
In this type of cases I usually act as conservative database architect. And you know what – that always helped eliminating additional companies’ efforts and frustrations in implementing specialized database solutions. This time I share some experiences in evaluating Column-Store databases. But let start with basics first.

While most commercial RDBMS products store data in some form of row format, some database vendors provide column-oriented storage of data. The supposed advantages of storing the data by column rather than by row include a better ability to compress the data, something that would reduce the need for disk-I/O. The idea of column-based storage is not new and has been used in commercial products from former Sybase and Sand Technology for well over a decade. In reality, each storage format has its own set of advantages and disadvantages and there is no free lunch – only tradeoffs.

The tradeoffs associated with column-based storage include the cost of tracking and eventual reconstruction of the rows to which the column values belong as well as additional complexity for ETL and OLTP processing. While recognizing that each storage format has its pros and cons and that there are scenarios where a column-based format has some merit, it is worth examining whether the column-based format lives up to its recent hype.

Beware of disingenuous benchmark numbers

Yes folks – PERFORMANCE is the main sales factor of the columnar databases!
There are claims that Column-Stores outperform a commercial row-store RDBMS by large factors. I just want to warn you to not rely blindly on magic performance benchmarks the vendors have done, in house themselves. Usually these performance test cases are not similar to the real production database loads, created often for read-only data using database engines that lacks RDBMS features and functionality that would be required in a production system.

A second observation is that the often benchmarks against Column-Stores do not test joins. Read more »

Oracle PatchSet 11.2.0.4 upgrade issues ORA- PLS-

May 15, 2014 by 4 Comments 

Below is a list of issues (ORA- and PLS- errors) I encountered after upgrading Oracle 11gR2 Database Enterprise Servers to the latest Patchset 11.2.0.4.
The upgrade mostly done:
– from 11.2.0.3.6-8
– to 11.2.0.4.1 (including Patchset Update PSU 1)
– on platforms: HP-UX Itanium, Linux

ORA-01979: missing or invalid password for role

Problem: Roles with passwords are failing after Oracle database Patchset upgrade

Solution: Recreate a role with a new password or without it.
Example:
alter role REPORTING_RW not identified;

ORA-01791: not a SELECTed expression

Problem: SQL having different number of columns in DISTINCT and ORDER BY clauses failing after Oracle database upgrade but it was working on previous release before last Patchset 11.2.0.4 since developers happily used an Oracle Bug that was fixed in 11.2.0.4. So the correct behavior is on 11.2.0.4 and not on older versions.
SQL> select distinct sal, empno from scott.emp order by deptno;
select distinct sal, empno from scott.emp order by deptno
*
ERROR at line 1:
ORA-01791: not a SELECTed expression

Solution: include all ORDER BY columns into Read more »

Oracle Configuration Manager OCM installation administration

May 9, 2014 by Leave a comment 

OCM Proactive database monitoring with MOS

OCM proactive database monitoring with MOS

The Oracle Configuration Manager (OCM) is a tool to proactively monitor your Oracle environment (your Oracle database in particular) with combination to My Oracle Support (MOS) website. OCM uploads this configuration information to Oracle Customer Configuration Repository on a regular basis and replicates this to My Oracle Support so that you and MOS engineers can view your Oracle database configuration, see alerts, and perform health-checks against your Oracle database. OCM also simplifies and speeds up a creation and handling of MOS Service Requests.

How to download latest OCM

All Oracle customers are enabled for Configuration Manager by default and they obtain the latest version of Configuration Manager (OCM) with different ways. Read more »

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