Saint Louis Db2 Users Group – Juni 2018

STLDUG – Saint Louis Db2 Users Group, MO, USA – Juni 2018

SEGUS & SOFTWARE ENGINEERING präsentieren

Total environment simulation – Workload Replay in an agile world

> Pdf Präsentation

Is your production cloning for development/testing a quick and fully automated procedure? Does it consider differences of the underlying hardware and does it allow to choose and automatically run SQL workloads?

Maybe your Db2 cloning needs an upgrade!

By using a highly customizable XML script and by exploiting virtualization features we can make a clone YOUR clone and even make it behave like production. However, most importantly SQL Capture/Replay fills the gap of automatically running your production workload for testing. It captures production SQL 24/7 by exploiting highly efficient IFCID-via-OPx technology and it filters and prepares statements for replay. This enables shops to capture any SQL being ever executed and keep them in sets of workloads to be selected for testing. As an integrated part of Db2 cloning, this adds up to a comprehensive cloning solution, not only for objects and data, but even for production workloads.

Learn how to integrate individual task for flexible automation and how to choose from four different levels of testing. The levels include simple anomaly alerting, access path verification, cloning and workload capture/replay to easily discover different behavior resulting from changes, like new application releases, or environment upgrades. Find out how easily you can pick and choose from KPI based test automation.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

  1. Testing, virtualizing and simulating – the aspects of reliable quality assurance
  2. Db2 database/object cloning – what’s state of the art and what’s beyond
  3. XML commander – The comprehensive automation of flexibility, covering
    • FTP/Routing
    • JCL
    • ISPF file tailoring, panels, messages
    • Db2 Commands
  4. Emphasizing the Data – what has changed since July and what are the hybrid aspects managing Data
    – Anomaly alerting based on Incompatibility Change Indicators (ICIs)
    – Dyn./Stat.Access Path Change Detection e.g.via Plan Management
    – Cloning exploiting Backup System
    – Workload-KPI verification using SQL replay and KPI comparison
  5. Top 10 list of tips and gotchas from a year of Db2 12 production Data bases around the world

Audience Experience:   Intermediate Advanced
Platform:                         Db2 z/OS
Presentation Length    60 minutes
Presentation Category:  Database Administration, Performance Management, Db2 Migration

Speaker biography

Ulf Heinrich is the Director of Solutions Delivery at SOFTWARE ENGINEERING GmbH. He specializes in Db2 operations and performance tuning, focusing on the growing requirement for cost reduction and 24×7 operations. As a consultant at large customer sites, he has implemented database maintenance procedures and recovery strategies, and also experienced the pitfalls of recovery scenarios under realworld recovery pressure. His activities cover EMEA, as well as North America through SE’s U.S. subsidiary, SEGUS Inc. As a member of SE’s Request Board he’s working closely with customers and the development labs.

 

Central Canada DB2 Users Group 2018

CCDB2UG – Central Canada DB2 Users Group 2018, Toronto, ON, Kanada – 4-5. Juni 2018

SEGUS & SOFTWARE ENGINEERING präsentieren

Db2 12 – 12 months agile production experience with more focus on the Data and less on the base

> Pdf Präsentation

Migrating to Db2 12 is pretty much the same procedure like every 3 years. Then we get introduced to a variety of levels that control new features and functions being delivered and realize that the every-3-years-same-procedure is history. The levels, their dependencies and behavior are a fundamental change, which was implemented to control agile and more specifically it’s associated Continuous Delivery of future upgrades and fixes. As usual, it comes with benefits, but also challenges.

This presentation not only covers customers experiences migrating to Db2 12, but also how the changed maintenance approach has forced them to change existing procedures.

The second part is the daily operation and exploitation using Db2 12 enhancements from customers of different industries.

The over-all results aren’t bad, but a major conclusion is also that this Db2 version is significantly different than other versions before. It’s the first agile version with all its pros and cons. According to IBMs July 2017 announcement, the new database design “represents the elemental nature of Db2 (think periodic table) and connotes the fundamental importance of hybrid data management“. Where does this materialize in our daily work with Db2? Join this presentation and benefit from the experience of other Db2 customers around the world running Db2 12.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

  1. a – Db2 migration and maintenance – meet the agile and continuous delivery face of Db2.
    b – Db2 Code, Catalog, Function and Application Levels – differences, dependencies and how to successfully manage them.
  2. Running Db2 12 and exploiting new features – what’s hot and how to exploit it best?
  3. Emphasizing the Data – what has changed since July and what are the hybrid aspects managing Data?
  4. Top 10 list of tips and gotchas from a year of Db2 12 production Data bases around the world

Audience Experience:   Intermediate Advanced
Platform:                         Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration, Performance Management, Db2 Migration

Speaker biography

Ulf Heinrich is the Director of Solutions Delivery at SOFTWARE ENGINEERING GmbH. He specializes in Db2 operations and performance tuning, focusing on the growing requirement for cost reduction and 24×7 operations. As a consultant at large customer sites, he has implemented database maintenance procedures and recovery strategies, and also experienced the pitfalls of recovery scenarios under realworld recovery pressure. His activities cover EMEA, as well as North America through SE’s U.S. subsidiary, SEGUS Inc. As a member of SE’s Request Board he’s working closely with customers and the development labs.

IDUG Db2 Tech Conference 2018 in Philadelphia

IDUG Db2 Tech Conference 2018 in Philadelphia, Pennsylvania, USA

IDUG North America

SEGUS & SOFTWARE ENGINEERING präsentieren:

Db2 12 – 12 months agile production experience with more focus on the Data and less on the base

> Pdf Präsentation


Migrating to Db2 12 is pretty much the same procedure like every 3 years. Then we get introduced to a variety of levels that control new features and functions being delivered and realize that the every-3-years-same-procedure is history. The levels, their dependencies and behavior are a fundamental change, which was implemented to control agile and more specifically it’s associated Continuous Delivery of future upgrades and fixes.https://www.seg.de/media/p-cd-dc-2018-db2-12-agile.pdf As usual, it comes with benefits, but also challenges.

This presentation not only covers customers experiences migrating to Db2 12, but also how the changed maintenance approach has forced them to change existing procedures.

The second part is the daily operation and exploitation using Db2 12 enhancements from customers of different industries.

The over-all results aren’t bad, but a major conclusion is also that this Db2 version is significantly different than other versions before. It’s the first agile version with all its pros and cons. According to IBMs July 2017 announcement, the new database design “represents the elemental nature of Db2 (think periodic table) and connotes the fundamental importance of hybrid data management“. Where does this materialize in our daily work with Db2? Join this presentation and benefit from the experience of other Db2 customers around the world running Db2 12.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

  1. a – Db2 migration and maintenance – meet the agile and continuous delivery face of Db2.
    b – Db2 Code, Catalog, Function and Application Levels – differences, dependencies and how to successfully manage them.
  2. Running Db2 12 and exploiting new features – what’s hot and how to exploit it best?
  3. Emphasizing the Data – what has changed since July and what are the hybrid aspects managing Data?
  4. Top 10 list of tips and gotchas from a year of Db2 12 production Data bases around the world

Audience Experience:   Intermediate Advanced
Platform:                         Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration, Performance Management, Db2 Migration

Speaker biography

Roy Boxwell has more than 32 years of experience in MVS, OS/390, and z/OS environments – 30 of those in Db2. He specializes in installation, migration, and performance monitoring and tuning. Roy leads the SEG development team responsible for the real time database maintenance solutions. He is also an active participant, speaker and contributor on the IDUG Db2 Listserv and sends out a monthly Db2 z/OS Newsletter.

2018-03 RTS RUNSTATS

„Breaking the rules is often fun, although we cannot condone it. But breaking the rules of Real Time Statistics (RTS) in Db2 12 can really land you in hot water.

We provide two queries that may give you a Get Out of Jail Free Card – at least as far as RTS is concerned…”

In this short newsletter, I wish to briefly discuss a change in behavior of the Real Time Statistics (RTS) tables that I have now seen at customer sites. I am not too happy about it! Before we start, a quick resumé of the RTS is required.
In this short newsletter, I wish to briefly discuss a change in behavior of the Real Time Statistics (RTS) tables that I have now seen at customer sites. I am not too happy about it! Before we start, a quick resumé of the RTS is required.

The Arrival of RTS

The Real Time Statistics were basically created by Dr Jim Teng in Db2 V7 and have always obeyed a few quite simple rules.


Real Time Statistics (RTS) rules:


  1. Rule Number one
    If in doubt set to NULL.
    This might read a bit odd but the idea from Jim was that if any value is not 100% known then the column must be set to the NULL value.


  2. Rule Number two
    Externalize when asked, or by timer.


  3. Rule Number three
    No DEFINE NO data.


  4. Rule Number four
    Utilities will always update the RTS unless it cannot – see Rule Number one.


  5. Rule Number five
    SQL updates the counters unless they cannot – Think Mass Delete in a multi-table tablespace. Totalrows cannot be updated.

Rules are made to be broken

A couple of years into RTS usage and the clamor for changing various insert values got too big, so IBM enhanced the RTS so that on creation the REORGLASTTIME got set to the created timestamp and all the counter columns got set to zero instead of NULL. Now this was a good change as adding 1,000,000 to NULL you get NULL, whereas adding 1,000,000 to zero means you get 1,000,000 which is obviously better for working out whether or not you need a utility to run. The REORGLASTTIME was also accepted as when you create a nice empty object or you insert one row into an object, then by definition, it is in a perfectly reorganized state!

RTS rule one broken

Mass delete always caused problems, as mentioned earlier, so IBM then made a “half way” fix for the INDEX statistics in Db2 9 by zeroing the TOTALENTRIES when there is a Mass Delete as Db2 knows that the index is now empty.

(PM34730: RTS SYSINDEXSPACESTATS TOTALENTRIES INCORRECT AFTER MASS DELETE.)

Of course it did not update the TOTALROWS, as it didn’t “know” how many rows were mass deleted or truncated. This causes “drift” between the TS and IX statistics, but is only a minor annoyance.

Db2 12 breaks rule one

Now in Db2 12 Rule one has been broken again. Not that much of a break, but still not brilliant! What they have done, is change the STATSLASTTIME to now also be, nearly, the created TS – as if creating an object sets the runstats columns to valid data!

Naturally, the Db2 Catalog is still all -1’s. This makes generating utilities based on the RTS a little bit tricky, as you cannot trust the STATSLASTTIME to now ever actually be the time a RUNSTATS utility really ran – which was the *whole*, and only, purpose of this column! If only they had set the STATSLASTTIME to ‘0001-01-01-00.00.00.00.000000’ then all would be well…

Who woke the dogs up? (Or: Who let the dogs out? I.e. American jargon)

PI79234: SYSIBM.SYSTABLESPACESTATS.STATSINSERTS IS NOT UPDATED BY RTS EXTERNALIZATION SINCE OBJECT IS CREATED.
Is the APAR (PTF UI48494) that caused me all the trouble.

Where’s the beef?

Well, the problem is, if you are generating RUNSTATS based on the RTS – and who isn’t these days? – Then you are probably using this column. Now it *looks* like a RUNSTATS has been run at least once.

This is false and can lead to the not running of RUNSTATS when it most definitely should have been run. Check all your home-grown RUNSTATS checkers. Remember DSNACCOX is also a little bit broken, as it uses these predicates:

(STATSLASTTIME IS NULL OR
 STATSLASTTIME<LOADRLASTTIME OR
 STATSLASTTIME<REORGLASTTIME OR
 STATSLASTTIME< latest PROFILE_UPDATE for the table space1 OR

Make sure you do not use the STATSLASTTIME, but instead join across to the SYSINDEXPART or SYSTABLEPART and pull out the STATSTIME column. This data is still ok and not fake news!

The scope of the problem

To find out the scope of the problem at your site, or even if you have this problem, you can run these two queries which simply list out all the objects that have, according to the Db2 Catalog, never been RUNSTATted, but according to the RTS they have been RUNSTATted:

Query 1

-- SELECT LIST OF TABLESPACES THAT ACCORDING TO DB2 CATALOG HAVE NOT 
-- BEEN RUNSTATTED BUT ACCORDING TO RTS HAVE BEEN.  
-- IGNORE DSNDB01 AS NO RUNSTATS FOR DIRECTORY OBJECTS 
-- IGNORE WORK DEFINED DATABASES AS NO RUNSTATS FOR THESE 
-- ONLY CHECK FOR TABLE TYPES H,M,P,R AND T 
-- DISTINCT IT FOR MULTI TABLE TABLESPACES 
SELECT DISTINCT A.DBNAME, A.NAME, A.PARTITION 
      ,A.REORGLASTTIME, A.STATSLASTTIME 
      ,B.STATSTIME, B.CREATEDTS 
FROM SYSIBM.SYSTABLESPACESTATS A 
   ,SYSIBM.SYSTABLEPART        B 
   ,SYSIBM.SYSDATABASE         C 
   ,SYSIBM.SYSTABLES           D 
WHERE   B.STATSTIME       = TIMESTAMP('0001-01-01-00.00.00.000000') 
  AND NOT COALESCE(A.STATSLASTTIME 
                           ,TIMESTAMP('0001-01-01-00.00.00.000000')) 
                          = TIMESTAMP('0001-01-01-00.00.00.000000') 
  AND NOT A.DBNAME        = 'DSNDB01' 
  AND A.DBNAME            = C.NAME 
  AND NOT C.TYPE          = 'W' 
  AND A.DBNAME            = B.DBNAME 
  AND A.NAME              = B.TSNAME 
  AND A.PARTITION         = B.PARTITION 
  AND A.DBNAME            = D.DBNAME 
  AND A.NAME              = D.TSNAME 
  AND D.TYPE            IN ('H' , 'M' , 'P' , 'R' , 'T') 
ORDER BY 1 , 2 , 3 
; 

Query 2

-- SELECT LIST OF INDEXSPACES THAT ACCORDING TO DB2 CATALOG HAVE NOT 
-- BEEN RUNSTATTED BUT ACCORDING TO RTS HAVE BEEN. 
-- IGNORE DSNDB01 AS NO RUNSTATS FOR DIRECTORY OBJECTS 
-- IGNORE HASH INDEXES AS NO RUNSTATS ALLOWED 
-- ONLY CHECK FOR TABLE TYPES H,M,P,R AND T 
SELECT A.DBNAME, A.INDEXSPACE, A.PARTITION 
      ,A.REORGLASTTIME, A.STATSLASTTIME 
      ,B.STATSTIME, B.CREATEDTS 
FROM SYSIBM.SYSINDEXSPACESTATS A 
    ,SYSIBM.SYSINDEXPART       B 
    ,SYSIBM.SYSINDEXES         C 
    ,SYSIBM.SYSTABLES          D 
WHERE   B.STATSTIME       = TIMESTAMP('0001-01-01-00.00.00.000000') 
  AND NOT COALESCE(A.STATSLASTTIME 
                          ,TIMESTAMP('0001-01-01-00.00.00.000000')) 
                          = TIMESTAMP('0001-01-01-00.00.00.000000') 
  AND NOT A.DBNAME        = 'DSNDB01' 
  AND A.CREATOR           = B.IXCREATOR 
  AND A.NAME              = B.IXNAME 
  AND A.PARTITION         = B.PARTITION 
  AND A.CREATOR           = C.CREATOR 
  AND A.NAME              = C.NAME 
  AND NOT C.HASH          = 'Y' 
  AND C.TBCREATOR         = D.CREATOR 
  AND C.TBNAME            = D.NAME 
  AND D.TYPE            IN ('H' , 'M' , 'P' , 'R' , 'T') 
ORDER BY 1 , 2 , 3 -
;

You can run these in any version of Db2 you like, but you will only get results from a Db2 12 system with this APAR applied and you have created an index or a tablespace. When I run them here on my Db2 10 and 11 systems I get zero rows back and on my test Db2 12 FL501 system I get 172 rows.

The good news is…

Our product for helping you all get “agile” in Db2 12, CDDC – ContinuousDelivery DeploymentCheck, detects and reports these data constellations as does our Statistics Health Check, of course.

I would be very interested to hear your opinions about this “little change in behavior”. Have you come across this at your site?

 

As always, any questions or comments would be most welcome!

TTFN,

Roy Boxwell

Southwest Db2 Users Group – Februar 2018

Db2 Forum.  Southwest Db2 Users Group – Februar 2018 – Grapevine (Dallas), TX, USA

SEGUS & SOFTWARE ENGINEERING sponsern diese Veranstaltung & präsentieren 

1 – Pdf Präsentation  –  Compliance with compliments! Viable Db2 z/OS workload tracking.

2 – Pdf Präsentation –   Db2 12 Continuous Delivery – New challenges for deployment.

3 – Pdf Präsentation –   Db2 z/OS Lies, Damn Lies, and Statistics… 


1 – Db2 z/OS Security Audit: Compliance with compliments! Viable Db2 z/OS workload tracking.

Audit and Compliance is a need that many companies want and have to fulfill.

There’s different ways and tools that promise to be able to do it, but what can they really do and what are the associated costs? This presentation introduces Db2 10/11 technology exploitation that delivers any DML, DDL, DCL being executed in a Db2 environment along with identification details. Learn how you can run Audit analytics against a long‐term repository, pinpointing who executed a query, when and from where. Analyze your entire workload to understand access patterns and abnormalities.


Mehr über Db2 Audit

Presentation Outline

  • Audit needs and musts Take a journey to GLB HIPAA PCI‐DSS Basel III Sarbanes‐Oxley CA SB1386 Federal Information Security Management Act “ed Flag”Rules (FRCA)5.
  • Solution overview and their Pros/Cons Get an overview about the existing solutions and understand how they work.
  • The viable way – let Db2 do the magic! Learn about Db2 enhancements in Db2 10/11 that deliver the Db2 workload being processed and understand why it’s so efficient.
  • Customer results from the banking industry Receive some experience from a large banking company and how they successfully replaced their Db2 Audit feature based reporting by a modern SQL tracking and analytics process.

 


2 – Db2 12 Continuous Delivery – New challenges for deployment.

Fundamental changes in the Db2 z world often lead to concerns. Let’s face it – some changes force us to change! While a Db2 version migration usually took months, or even years, there will be no new Db2 version after 12, but continuous code drops.

This will have a tremendous impact on migration strategies, because we have to find a reliable way to test these code deliveries in a fraction of time. If we make it, Business Divisions will become enthused at how quickly new technology becomes available for new applications. This presentation will describe the difference between Code, Catalog, Function and Application Levels, how you can control them and how you can fallback in case of anomalies. It also illustrates how we still can be pro-active in testing without burning weeks and months.
Learn how to choose from four different levels of testing and a new way of automation. CD-Screening allows you to pick and choose from KPI based test automation. The levels include simple anomaly alerting, access path verification, clone Pre-apply and even workload capture/replay to easily discover different behaviour resulting from a new code Level.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

Joining this presentation, you’ll learn how to align Continuous Delivery to your Continuous Availability.

  • Agile, Continuous Delivery, DevOps – just buzz words, or new methodologies?
  • Db2 Code, Catalog, Function and Application Levels – differences and dependencies.
  • Activation/Deactivation of new code and how to fallback and when you can’t.
  • Different flavors of (pro-active) CD-Screening and how it can be automated:

* Anomaly alerting based on Incompatibility Change Indicators (ICIs)
* Dyn./Stat.Access Path Change Detection e.g.via Plan Management
* Clone based code change pre-apply exploiting Backup System
* Workload-KPI verification using SQL replay and KPI comparison

Audience Experience:   Intermediate Advanced
Platform:                        Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration Performance Management Db2 Migration

 


3 – Db2 z/OS Lies, Damn Lies, and Statistics…

– Benjamin Disraeli, Prime Minister of England (1868, 1874-1880)

The above line may, or may not, have been spoken well over 100 years ago, but the need for statistics and, above all else, accurate statistics is more important than ever in the Db2 world of today.


Mehr über Db2 RUNSTATS

Presentation Outline

  • Db2 RUNSTATS basics & catalog tables and Columns used for access path
  • IBM recommendations through the ages : from Db2 V3 to Db2 12
  • Db2 RUNSTATS advanced
  • SYSCOLDIST explained
  • RUNSTATS real world Q&A :
    use of SAMPLE, COLGROUP, PROFILE, REOPT (ONCE), TABLESAMPLE SYSTEM, HISTOGRAM, …
  • RUNSTATS reversal

Speaker biography

Roy Boxwell has more than 32 years of experience in MVS, OS/390, and z/OS environments – 30 of those in Db2. He specializes in installation, migration, and performance monitoring and tuning. Roy leads the SEG development team responsible for the real time database maintenance solutions. He is also an active participant, speaker and contributor on the IDUG Db2 Listserv and sends out a monthly Db2 z/OS Newsletter.

Heart of Texas Db2 Users Group – Februar 2018

HOTDUG – Heart of Texas Db2 User Group – Februar 2018 –  Austin, TX, USA

SEGUS & SOFTWARE ENGINEERING sponsern diese Veranstaltung & präsentieren

1 – Pdf Präsentation : Compliance with compliments! Viable Db2 z/OS workload tracking.

2 Pdf Präsentation : Db2 12 Continuous Delivery – New challenges for deployment.

3 Pdf Präsentation : Db2 z/OS Lies, Damn lies, and Statistics… 


1 – Db2 z/OS Security Audit: Compliance with compliments! Viable Db2 z/OS workload tracking.

Audit and Compliance is a need that many companies want and have to fulfill.

There’s different ways and tools that promise to be able to do it, but what can they really do and what are the associated costs? This presentation introduces Db2 10/11 technology exploitation that delivers any DML, DDL, DCL being executed in a Db2 environment along with identification details. Learn how you can run Audit analytics against a long‐term repository, pinpointing who executed a query, when and from where. Analyze your entire workload to understand access patterns and abnormalities.


Mehr über Db2 Audit

Presentation Outline

  • Audit needs and musts Take a journey to GLB HIPAA PCI‐DSS Basel III Sarbanes‐Oxley CA SB1386 Federal Information Security Management Act “ed Flag”Rules (FRCA)5.
  • Solution overview and their Pros/Cons Get an overview about the existing solutions and understand how they work.
  • The viable way – let Db2 do the magic! Learn about Db2 enhancements in Db2 10/11 that deliver the Db2 workload being processed and understand why it’s so efficient.
  • Customer results from the banking industry Receive some experience from a large banking company and how they successfully replaced their Db2 Audit feature based reporting by a modern SQL tracking and analytics process.

 


2Db2 12 Continuous Delivery – New challenges for deployment.

Fundamental changes in the Db2 z world often lead to concerns. Let’s face it – some changes force us to change! While a Db2 version migration usually took months, or even years, there will be no new Db2 version after 12, but continuous code drops.

This will have a tremendous impact on migration strategies, because we have to find a reliable way to test these code deliveries in a fraction of time. If we make it, Business Divisions will become enthused at how quickly new technology becomes available for new applications. This presentation will describe the difference between Code, Catalog, Function and Application Levels, how you can control them and how you can fallback in case of anomalies. It also illustrates how we still can be pro-active in testing without burning weeks and months.
Learn how to choose from four different levels of testing and a new way of automation. CD-Screening allows you to pick and choose from KPI based test automation. The levels include simple anomaly alerting, access path verification, clone Pre-apply and even workload capture/replay to easily discover different behaviour resulting from a new code Level.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

Joining this presentation, you’ll learn how to align Continuous Delivery to your Continuous Availability.

  • Agile, Continuous Delivery, DevOps – just buzz words, or new methodologies?
  • Db2 Code, Catalog, Function and Application Levels – differences and dependencies.
  • Activation/Deactivation of new code and how to fallback and when you can’t.
  • Different flavors of (pro-active) CD-Screening and how it can be automated:

* Anomaly alerting based on Incompatibility Change Indicators (ICIs)
* Dyn./Stat.Access Path Change Detection e.g.via Plan Management
* Clone based code change pre-apply exploiting Backup System
* Workload-KPI verification using SQL replay and KPI comparison

Audience Experience:   Intermediate Advanced
Platform:                        Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration Performance Management Db2 Migration

 


3Db2 z/OS Lies, Damn lies, and Statistics…

– Benjamin Disraeli, Prime Minister of England (1868, 1874-1880)

The above line may, or may not, have been spoken well over 100 years ago, but the need for statistics and, above all else, accurate statistics is more important than ever in the Db2 world of today.


Mehr über Db2 RUNSTATS

Presentation Outline

  • Db2 RUNSTATS basics & catalog tables and Columns used for access path
  • IBM recommendations through the ages : from Db2 V3 to Db2 12
  • Db2 RUNSTATS advanced
  • SYSCOLDIST explained
  • RUNSTATS real world Q&A :
    use of SAMPLE, COLGROUP, PROFILE, REOPT (ONCE), TABLESAMPLE SYSTEM, HISTOGRAM, …
  • RUNSTATS reversal

Speaker biography

Roy Boxwell has more than 32 years of experience in MVS, OS/390, and z/OS environments – 30 of those in Db2. He specializes in installation, migration, and performance monitoring and tuning. Roy leads the SEG development team responsible for the real time database maintenance solutions. He is also an active participant, speaker and contributor on the IDUG Db2 Listserv and sends out a monthly Db2 z/OS Newsletter.

2017-11 Db2 APAR list: An APAR a day keeps the bugs at bay

Db2 12 APAR – time saving list

With all the talk about “agile” going on, and referring to one of my older 2017-09 newsletters* on APARs, I think it is time to tell you all about another little service that our company offers.

(completely free, simple and no marketing spam)


* Db2 12 Agile & APAR previous newsletter:
2017-09: Db2 12 SQL Access path: Death by APAR :  How many APARs really can affect access paths?

APAR Database

The APAR database can be accessed by anyone with an IBM Userid and you can merrily search to see if the problem that you have hit is already found and fixed, or a fix is in the works.

The problem is: What about the bugs that you do not *know* you have hit?

Get someone else to do the donkey work

The answer is to get someone else to do all the research for you, and deliver the answer by e-mail every month for all current releases of Db2 going back two years.

Who is that donkey? You will never guess…  😉

Three is the key

There are three Excel spread sheets here.


  1. SQL Performance
    The first is RTS. This lists any and all APARs to do with the Real-Time Statistics tables. If you rely on these tables to decide when to run REORG, COPY and RUNSTATS, then you want to make sure that they are being correctly updated, don’t you?


  2. SQL Access Path
    The second is RUNSTATS. RUNSTATS is a critical utility program and contains bugs like any other non-trivial program. I count RUNSTATS bugs as *always* a personal HIPER. I rely on statistics and so does the Db2 Optimizer. If there is bad data here, then your access paths have no chance!


  3. Performance PTFs
    Finally, and the biggest list, is those APARs that have anything to do with SQL Performance and SQL Access paths (If not already in the RUNSTATS list of course!) Performance PTFs are pretty important!

Going hyper over HIPER

All the APARs have their related PTF. A handy little HIPER column tells you whether or not this is a really important fix. As I mentioned, I treat the RUNSTATS ones as personal HIPERS. Also added is a PE indicator when a PTF goes bad on you (PTF in Error) so you can see if you introduced a problem by correcting another.

One Excel Example: The SQL Performance spread sheet

Db2 12 APAR list free for Db2 z/OS: SQL Performance (RTS) - Performance PTFs - SQL Access Path (RUNSTATS) -

This is from the SQL Performance spread sheet and you can see how it looks.

The same table in HTML:

APARCLOSEDSTATUSDb2 10 Db2 11Db2 12HYPERDescription
PI85305
2017-11-01
Closed
N/A
UI51606
UI51601
INEFFICIENT INDEX CHOSEN WHEN INDEX CAN DO INDEX SKIPPING…
 PI85418
 2017-19-25
Modified
UI50098
UI50099
UI50582
PREPARE TAKES LONG TIME AND HIGH CPU IF THE QUERY CONTAINS MA…
 PI85463
New & Closed
 N/A
 N/A
UI51342
TABLESPACE SCAN INSTEAD OF INDEX ACCESS – WITH INDEX HAVIN…

 …

 …

 …

 …

 …

 …

 …

 …

Interested in making your life a little bit easier and safer?

If you are interested in Db2 APARs and you have *no* time to go and scrabble around the internet trying to find out which APARs are needed, worthwhile, or dangerous, then

just email our technical support techsupport@seg.de and ask to be added to the APAR Mailing list.

It is completely free, you will not get marketing spam and it really is as simple as that!

 

Get AGILE now!

With these handy lists, you can quickly and easily review the state of your Db2, and react quickly and in a timely manner when you have to.

 

As usual, if you have any comments or queries please feel free to drop me a line!

TTFN

 

Roy Boxwell

2017-09 Db2 12 SQL Access paths: Death by APAR

We recently held one of our Design Councils, this one was all about Db2 12 and going Agile. I was asked the following question after one of my presentations about verifying Db2 Code/Catalog/Function Levels:

“How many APARs really can affect access paths?”

I had to admit that I did not know the answer – I *hate* not knowing things, so I set off to find out how many Db2 Optimizer-relevant APARs there were in 2016 up until today (Oct 17th 2017).

 

Db2 12 APAR review sqlaccesspath

First I used this search argument, as I am only interested in Db2, sqlaccesspath keyword related APARs, those that have an Optimizer relevant CSECT, are HIPER and in Db2 12:

5740xyr00 AND sqlaccesspath AND dsnxo* AND yesHIPER AND C10

1.     PI69349: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query       2017-04-14

 

Remove the yesHIPER and you get 22:


1.     PI82797: LESS FILTERING INDEX SELECTED FOR INNER TABLE OF NESTED LOOP JOIN
A smaller, less filtering index is selected for the inner table with a Nested Loop Join.      2017-10-02

2.     PI78122: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-10-02

3.     PI83289: QUERY ACCESS PATH MAY BE UNPREDICTABLE FOR A QUERY WHERE THERE ARE EQUAL PREDICATES COVERING ALL THE COLUMNS ...
Query access path may be unpredictable for a query where there are equal predicates covering all the columns of a unique index.        2017-09-02

4.     PI83454: INEFFICIENT ACCESS PATH IS USED BECAUSE OF AN INCORRECT COMPOUND FILTER FACTOR OF RANGE PREDICATES
The compound filter factor of two range predicates on the same column is underestimated, that causes an inefficient access      2017-09-02

5.     PI83547: NON-MATCHING INDEX CHOSEN WHEN A MATCHING INDEX EXISTS
A non-matching index could be chosen when an index with good matching exists.    2017-09-02

6.     PI82634: MULTI INDEX ACCESS CHOSEN WHEN A BETTER MATCHING INDEX EXISTS
MULTI-INDEX ACCESS WAS CHOSEN WHEN A MORE EFFICIENT INDEX USING BETTER MATCHING EXISTS.       2017-08-02

7.     PI77792: ABSTRACT:INEFFICIENT ACCESS PATH WITH SORT DISTINCT IN CTE
AN INEFFICIENT ACCESS PATH CAN BE CHOSEN WHEN A SORT FOR DISTINCT IS NEEDED INSIDE A CTE.     2017-06-02

8.     PI73290: Db2 FOR Z/OS USERS OF QUERIES WITH GROUP BY, DISTINCT, IN SUBQUERY OR NOT IN SUBQUERY.
Db2 may choose an inefficient access path as non-matching index access without matching predicates and screening predicates when     2017-05-01

9.     PI73368: ABSTRACT=INEFFICIENT ACCESS PATH WITH SINGLE VALUE PAGE RANGE PREDICATE.An inefficient access path can be chosen when page range access is used for a join predicate and the columns has a cardinality 2017-05-01

10.    PI75966: INEFFICIENT ACCESS PATH IS SELECTED.
List prefetch plan with higher cost may be chosen mistakenly when there is one table in the query block and the index covers        2017-05-01

11.    PI71368: R-SCAN ACCESS PATH CHOSEN OVER MULTI-INDEX ACCESS FOR A TABLE WHICH QUALIFIES FOR NPGTHRSH BEHAVIOR
R-scan access path chosen over multi-index access for a table which qualifies for NPGTHRSH behavior.        2017-04-20

12.    PI75963: ACCESS PATH FOR A QUERY WITH GROUP BY AND ORDER BY CLAUSES INCLUDES AN UNNECESSARY SORT
For the following query the access path includes a sort although it is not necessary: 2017-04-20

13.    PI69349: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query    2017-04-14

14.    PI74019: DEFECT 40316 - TPCD (REVISTIT) QUERY #UV1B2 CL2 CPU REGRESSION IN V12
There is a regression for performance test. In V11, it could choose good access path, in V12, it chooses bad access path.   2017-04-03

15.    PI72887: INEFFICIENT ACCESS PATH WITH EARLY OUT
INEFFICIENT ACCESS PATH WITH EARLY OUT 2017-04-03

16.    PI71495: ABEND04E RC00E70005 AT DSNXGRDS DSNXOB2 M105 ON SQL STATEMENT WITH CONCENTRATE STATEMENTS WITH LITERALS
ABEND04E rc00e70005 at dsnxgrds dsnxob2 M105 in prepare SQL statement with attributes clause CONCENTRATE STATEMENTS WITH       2017-02-01

17.    PI72800: INCORRECT FILTER FACTOR FOR PARTITION KEY OF VOLATILE TABLE
Db2 may calculate a incorrect filter factor for using BETWEEN and RANGE predicates, when a volatile table is defined as 2017-02-01

18.    PI71110: FORWARDFIT OF PI70237
Performance problem when a user query choose R-scan in a single-table correlated subquery.    2017-02-01

19.    PI68238: SQLACCESSPATH OF THE ENTRY WITH LATEST TIMESTAMP AND ACCESSTYPE NR IS NOT SELECTED WHEN BIND PKG WITH OPTHINT ...
When BIND PACKAGE with OPTHINT and EXPLAIN(YES), the latest timestamp NR path will lost the chance to compete with other 2017-01-12

20.    PI68551: FF OF PI66289-INDEX WITH LESS MATCHING COLUMNS IS CHOSEN FOR INNER TABLE WHICH MAY CAUSE BAD PERFORMANCE
Index with less matching columns is chosen for inner table which may cause bad performance    2017-01-12

21.    PI69414: POOR SQL PERFORMANCE FOR MERGE STATEMENT
Poor SQL performance for MERGE statement       2017-01-03

22.    PI68086: ALLOW MORE TABLES TO BE ELIGIBLE FOR SPARSE INDEX ACCESS.
Due to a code bug, sometimes a table with very big non-correlated subquery (big means expensive in terms of elapsed    2016-12-01

 

Remove the filter for optimizer csects and you get 26:


1.     PI82797: LESS FILTERING INDEX SELECTED FOR INNER TABLE OF NESTED LOOP JOIN
A smaller, less filtering index is selected for the inner table with a Nested Loop Join.      2017-10-02

2.     PI78122: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-10-02

3.     PI83289: QUERY ACCESS PATH MAY BE UNPREDICTABLE FOR A QUERY WHERE THERE ARE EQUAL PREDICATES COVERING ALL THE COLUMNS ...
Query access path may be unpredictable for a query where there are equal predicates covering all the columns of a unique index.        2017-09-02

4.     PI83454: INEFFICIENT ACCESS PATH IS USED BECAUSE OF AN INCORRECT COMPOUND FILTER FACTOR OF RANGE PREDICATES
The compound filter factor of two range predicates on the same column is underestimated, that causes an inefficient access      2017-09-02

5.     PI83547: NON-MATCHING INDEX CHOSEN WHEN A MATCHING INDEX EXISTS
A non-matching index could be chosen when an index with good matching exists.    2017-09-02

6.     PI82634: MULTI INDEX ACCESS CHOSEN WHEN A BETTER MATCHING INDEX EXISTS
MULTI-INDEX ACCESS WAS CHOSEN WHEN A MORE EFFICIENT INDEX USING BETTER MATCHING EXISTS.       2017-08-02

7.     PI77792: ABSTRACT:INEFFICIENT ACCESS PATH WITH SORT DISTINCT IN CTE
AN INEFFICIENT ACCESS PATH CAN BE CHOSEN WHEN A SORT FOR DISTINCT IS NEEDED INSIDE A CTE.     2017-06-02

8.     PI73290: Db2 FOR Z/OS USERS OF QUERIES WITH GROUP BY, DISTINCT, IN SUBQUERY OR NOT IN SUBQUERY.
Db2 may choose an inefficient access path as non-matching index access without matching predicates and screening predicates when     2017-05-01

9.     PI75966: INEFFICIENT ACCESS PATH IS SELECTED.
List prefetch plan with higher cost may be chosen mistakenly when there is one table in the query block and the index covers        2017-05-01

10.    PI73368: ABSTRACT=INEFFICIENT ACCESS PATH WITH SINGLE VALUE PAGE RANGE PREDICATE.
An inefficient access path can be chosen when page range access is used for a join predicate and the columns has a cardinality 2017-05-01

11.    PI71368: R-SCAN ACCESS PATH CHOSEN OVER MULTI-INDEX ACCESS FOR A TABLE WHICH QUALIFIES FOR NPGTHRSH BEHAVIOR
R-scan access path chosen over multi-index access for a table which qualifies for NPGTHRSH behavior.        2017-04-20

12.    PI75963: ACCESS PATH FOR A QUERY WITH GROUP BY AND ORDER BY CLAUSES INCLUDES AN UNNECESSARY SORT
For the following query the access path includes a sort although it is not necessary: 2017-04-20

13.    PI67390: SQLCODE100 MAY OCCUR FOR SQL STATEMENTS USING LIST PREFETCH OR MULTI INDEX ACCESS
SQLCODE +100 may occur for sql statements using List Prefetch or multi index access    2017-04-14

14.    PI69349: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query    2017-04-14

15.    PI69054: TOTALENTRIES TRUNCATED IN RTS FOR LARGE LOAD RESULTS IN REBUILD INDEX FAILING
2.6 billion row table load is truncating totalentries in RTS.      2017-04-12

16.    PI74019: DEFECT 40316 - TPCD (REVISTIT) QUERY #UV1B2 CL2 CPU REGRESSION IN V12
There is a regression for performance test. In V11, it could choose good access path, in V12, it chooses bad access path.   2017-04-03

17.    PI76121: REMOTE CONNECTION ATTEMPT RESULTS IN NONMATCHING INDEX SCAN OF DSNFEX01 WHEN ROW FOR AUTHID IS MISSING FROM ...
Db2DDF See APAR PI71693 for Db2 11/10 for z/OS.       2017-04-03

18.    PI72887: INEFFICIENT ACCESS PATH WITH EARLY OUT
INEFFICIENT ACCESS PATH WITH EARLY OUT 2017-04-03

19.    PI71495: ABEND04E RC00E70005 AT DSNXGRDS DSNXOB2 M105 ON SQL STATEMENT WITH CONCENTRATE STATEMENTS WITH LITERALS
ABEND04E rc00e70005 at dsnxgrds dsnxob2 M105 in prepare SQL statement with attributes clause CONCENTRATE STATEMENTS WITH       2017-02-01

20.    PI72800: INCORRECT FILTER FACTOR FOR PARTITION KEY OF VOLATILE TABLE
Db2 may calculate a incorrect filter factor for using BETWEEN and RANGE predicates, when a volatile table is defined as 2017-02-01

21.    PI71110: FORWARDFIT OF PI70237
Performance problem when a user query choose R-scan in a single-table correlated subquery.    2017-02-01

22.    PI68238: SQLACCESSPATH OF THE ENTRY WITH LATEST TIMESTAMP AND ACCESSTYPE NR IS NOT SELECTED WHEN BIND PKG WITH OPTHINT ...
When BIND PACKAGE with OPTHINT and EXPLAIN(YES), the latest timestamp NR path will lost the chance to compete with other 2017-01-12

23.    PI68551: FF OF PI66289-INDEX WITH LESS MATCHING COLUMNS IS CHOSEN FOR INNER TABLE WHICH MAY CAUSE BAD PERFORMANCE
Index with less matching columns is chosen for inner table which may cause bad performance    2017-01-12

24.    PI69414: POOR SQL PERFORMANCE FOR MERGE STATEMENT
Poor SQL performance for MERGE statement       2017-01-03

25.    PI68086: ALLOW MORE TABLES TO BE ELIGIBLE FOR SPARSE INDEX ACCESS.
Due to a code bug, sometimes a table with very big non-correlated subquery (big means expensive in terms of elapsed    2016-12-01

26.    PI69029: REBIND APREUSESOURCE(PREVIOUS) IS NOT FINDING PREVIOUS ACCESSPATH WHEN USING PLANMGMT(BASIC)
When running this sample statement: REBIND PACKAGE(TEST.ABC00999.()) EXPLAIN(Y) -      2016-12-01

 

So we are talking about just over two per month…

 

Db2 11 APAR Review sqlaccesspath

Just drop the C10 and add B10 to the search and do it all again.


1.     PI78532: NON-MATCHING INDEX CHOSEN WHEN A MATCHING INDEX EXISTS 17/08/30 PTF PECHANGE
A non-matching index could be chosen when an index with good matching exists. 2017-08-30

2.     PI58411: INCORROUT CAN OCCUR FOR AN UPDATE QUERY USING TEMPORAL TABLES.
Temporal table has multiple indexes. One index to support the primary key constraint and one to support queries against the       2017-01-04

3.     PI62713: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query with LEFT OUTER JOIN and ORDER BY and also running with Sort     2016-11-02

4.     PI64779: SELECT DISTINCT RETURNS DUPLICATE VALUES.
Incorrect output can occur when the DISTINCT keyword is used, matching index access is used on the IN-list, but the IN-list   2016-10-03

5.     PI61893: INCORROUT WITH UPDATE STATEMENT AND CORRELATED SUBQUERY
A INCORROUT conditions occurs when a UPDATE statement is coded with a correlated subquery that contains a DISTINCT and FETCH     2016-08-02

 

Again, remove the yesHIPER and now there are 54:


1.     PI79438: INEFFICIENT ACCESS PATH FOR QUERY WITH MIN/MAX AND NO GROUP BY
An inefficient access path can be chosen when a query contains a MIN/MAX function with no Group BY.        2017-10-02

2.     PI84286: JOIN PREDICATE WITH CAST FUNCTION NON-INDEXABLE
A join predicate can become non-indexable if the predicate contains a decimal function without the length and scale    2017-10-02

3.     PI83769: AN INEFFICIENT INDEX CAN BE SELECTED TO PARTICIPATE IN MULTI-INDEX ACCESS
AN INEFFICIENT INDEX CAN BE SELECTED TO PARTICIPATE IN MULTI-INDEX ACCESS WHEN THERE IS A HIGH DEGREE OF UNCERTAINTY      2017-09-26

4.     PI82601: LESS FILTERING INDEX SELECTED FOR INNER TABLE OF NESTED LOOP JOIN
A smaller, less filtering index is selected for the inner table with a Nested Loop Join.      2017-09-02

5.     PI82772: INEFFICIENT ACCESS PATH IS USED BECAUSE OF AN INCORRECT COMPOUND FILTER FACTOR OF RANGE PREDICATES
The compound filter factor of two range predicates on the same column is underestimated, that causes an inefficient access      2017-09-02

6.     PI63607: INEFFICIENT ACCESS PATH COULD OCCUR WITH CARTESIAN JOIN
An inefficient access path could occur when the result of a Cartesian join does not produce better index matching on the      2017-08-30

7.     PI78532: NON-MATCHING INDEX CHOSEN WHEN A MATCHING INDEX EXISTS 17/08/30 PTF PECHANGE
A non-matching index could be chosen when an index with good matching exists.    2017-08-30

8.     PI79775: INDEX PROBING NOT BEING INVOKED
Under certain conditions, index probing is not being utilized for predicates that calculate a FF with no matching rows    2017-08-02

9.     PI80690: AE PI76369 FIX COMPLETION
AE PI76369 fix completion.        2017-07-05

10.    PI76369: ABSTRACT:INEFFICIENT ACCESS PATH WITH SORT DISTINCT IN CTE
AN INEFFICIENT ACCESS PATH CAN BE CHOSEN WHEN A SORT FOR DISTINCT IS NEEDED INSIDE A CTE.     2017-06-05

11.    PI75212: DURING AUTOBIND USING QUERYACCELERATION (ENABLE) BIND OPTION, STATIC QUERY IS BOUND FOR ACCELERATION ...
During AUTOBIND for a package bound QUERYACCELERATION(ENABLE), Db2 unexpectedly selects an IDAA access path and binds the query   2017-06-02

12.    PI59793: UNDERESTIMATED TOTAL INDEX FILTERING WITH PAGE RANGE SCREENING WHEN THE PAGE RANGE COLUMNS ARE NOT IN THE INDEX
An inaccurate IMFFADJ value will be generated in instances where when page range screening is performed and the columns used for      2017-05-03

13.    PI62376: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-04-11

14.    PI75342: ACCESS PATH FOR A QUERY WITH GROUP BY AND ORDER BY CLAUSES INCLUDES AN UNNECESSARY SORT.
For the following query the access path includes a sort although it is not necessary: 2017-04-03

15.    PI72177: INEFFICIENT ACCESS PATH IS SELECTED.
List prefetch plan with higher cost may be chosen mistakenly when there is one table in the query block and the index covers        2017-04-03

16.    PI70394: ABSTRACT=INEFFICIENT ACCESS PATH WITH SINGLE VALUE PAGE RANGE PREDICATE.
An inefficient access path can be chosen when page range access is used for a join predicate and the columns has a cardinality 2017-03-09

17.    PI73338: INEFFICIENT JOIN ACCESS ON PARTITIONED TABLE
Nested loop join may be chosen as the join type when hybrid join would likely have been a better choice.      2017-02-01

18.    PI66289: INDEX WITH LESS MATCHING COLUMNS IS CHOSEN FOR INNER TABLE WHICH MAY CAUSE BAD PERFORMANCE
Index with less matching columns is chosen for inner table which may cause bad performance    2017-01-12

19.    PI65041: SQLACCESSPATH OF THE ENTRY WITH LATEST TIMESTAMP AND ACCESSTYPE NR IS NOT SELECTED WHEN BIND PKG WITH OPTHINT ...
When BIND PACKAGE with OPTHINT and EXPLAIN(YES), the latest timestamp NR path will lost the chance to compete with other 2017-01-12

20.    PI58411: INCORROUT CAN OCCUR FOR AN UPDATE QUERY USING TEMPORAL TABLES.
Temporal table has multiple indexes. One index to support the primary key constraint and one to support queries against the       2017-01-04

21.    PI69685: ABEND04E RC00E70005 AT DSNXGRDS DSNXOB2 M105 ON AN SQL STATEMENT WITH ATTRIBUTE CONCENTRATE STATEMENTS WITH ...
ABEND04E rc00e70005 at dsnxgrds dsnxob2 M105 in a prepared SQL statement with prepared attributes clause CONCENTRATE STATEMENTS     2017-01-03

22.    PI71365: R-SCAN ACCESS PATH CHOSEN OVER MULTI-INDEX ACCESS FOR A TABLE WHICH QUALIFIES FOR NPGTHRSH BEHAVIOR
R-scan access path chosen over multi-index access for a table which qualifies for NPGTHRSH behavior.        2017-01-03

23.    PI68896: INCORRECT FILTER FACTOR FOR PARTITION KEY OF VOLATILE TABLE
Db2 may calculate a incorrect filter factor for using BETWEEN and RANGE predicates, when a volatile table is defined as 2017-01-03

24.    PI71415: POOR SQL PERFORMANCE WHEN THE ACCESS PATH USES NON-MATCHING INDEX FOR INDEX SKIPPING
Poor SQL Performance when the access path uses non-matching index for index skipping . 2017-01-03

25.    PI63541: INEFFICIENT ACCESS PATH WITH EARLY OUT
Ineffecient access path can be chosen when the access plan qualifies for index skipping but no index covers the join     2017-01-03

26.    PI68380: SUBOPTIMAL ACCESS PATH WITH A NESTED LOOP JOIN AND MULTI-INDEX ACCESS
A suboptimal access path is chosen when multi-index access is chosen as the inner table for a nested loop join. A hybrid join   2016-12-01

27.    PI67499: INEFFICIENT NON-MATCHING INDEX SCAN IS SELECTED WHEN THERE ARE MORE THAN 1 TABLES IN THE QUERY BLOCK WITH ...
Inefficient non-matching index scan is selected when when the query contains DISTINCT in the query and there are more than 1 2016-12-01

28.    PI70237: INEFFICIENT ACCESS PATH WHEN A QUERY HAS INSUBQ OR EXISTS-SUBQ AND THE SUBQUERY HAS A SINGLE TABLE
Inefficient access path when a query has INSUBQUERY or EXISTS-SUBQUERY and the subquery has a single table. Optimizer    2016-12-01

29.    PI66248: INEFFICIENT ACCESS PATH WHEN NESTED LOOP JOIN USED TO ACCESS A INNER MATERIALIZED QUERY BLOCK
An inefficient rscan access path for the inner table of a nested loop join when the the inner table is a materialized workfile.       2016-12-01

30.    PI64874: INDEX PROBING MAY ACCESS UNQUALIFIED PARTITION AT PREPARE TIME
Unqualified partitions are claimed by index probing at prepare time, that causes unnecessary locking issue and group buffer     2016-11-02

31.    PI62713: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query with LEFT OUTER JOIN and ORDER BY and also running with Sort     2016-11-02

32.    PI52204: INCORRECT DPSI LEAF PAGE ESTIMATION WHEN ALL THE PARTITION KEYS CONTAINS LOCAL PREDICATES
Inefficient access path is selected due to incorrect DPSI leaf page estimation when all the partition keys contains local 2016-10-03

33.    PI64779: SELECT DISTINCT RETURNS DUPLICATE VALUES.
Incorrect output can occur when the DISTINCT keyword is used, matching index access is used on the IN-list, but the IN-list   2016-10-03

34.    PI64234: INEFFICIENT ACCESS PATH INVOLVING RANGE LIST PREDICATE(S)
A Range list access path could be chosen when a more efficient access path is available.      2016-10-03

35.    PI64089: PERFORMANCE IMPACT WITH CTE SELECTED FROM A VIEW
When a CTE is defined in a view, a sub-optimal access path may occur. A optimal access path will be estimated for the CTE, and        2016-10-03

36.    PI61435: INCORRECT FILTER FACTOR MAY BE ASSIGNED FOR PAGE RANGE SCREENING PREDICATES WHEN PARTITION KEYS ARE DEFINED AS ...
Incorrect filter factor may be assigned for page range screening predicates when partition keys are defined as VARCHAR 2016-10-03

37.    PI60761: Enable NPGTHRSH for qualified partitions of a partitioned table based on partition level NPAGES.
The code to enable NPGTHRSH for qualified partitions of a partitioned table based on partition level stats (NPAGES)      2016-09-02

38.    PI61886: IN SUBQUERY FAILS TO MATCH ON INDEXABLE IN LIST COLUMN
For a query which contains an IN list on a subquery, Db2 currently will use the IN list column in an index match if the 2016-09-02

39.    PI60056: INEFFICIENT ACCESS PATH WITH AGGREGATE FUNCTIONS SELECT(MAX) OR SELECT(MIN).
Less than optimal performance is the result when the optimizer makes a inefficient access path decision when the aggregate       2016-08-02

40.    PI60333: UNNECESSARY SORT FOR ORDER BY WHEN DISTINCT/GROUP BY LIST COVERS A UNIQUE INDEX AND SELECTED INDEX SUPPORT ...
When a query contains an ORDER BY and DISTINCT/GROUP BY clause whose columns cover a unique index, Db2 selects an index with 2016-08-02

41.    PI61893: INCORROUT WITH UPDATE STATEMENT AND CORRELATED SUBQUERY
A INCORROUT conditions occurs when a UPDATE statement is coded with a correlated subquery that contains a DISTINCT and FETCH     2016-08-02

42.    PI60206: POOR SQL PERFORMANCE OF A QUERY THAT HAS A CORRELATED SUBQUERY COST REDUCTION
Poor SQL performance of a query that has a correlated subquery cost reduction . 2016-08-02

43.    PI59348: INEFFICIENT INDEX SELECTION FOR THE INNER TABLE OF A JOIN
Less than optimal performance is the result when the optimizer makes a inefficient index selection for the inner table of a   2016-07-15

44.    PI57513: GROUP BY/DISTINCT/MIN/MAX CLAUSES RESULT IN INCORRECT ACCESS PATH DUE TO INVALID COST REDUCTION
In V11, materialized work files which are used as the inner tables for left joins are being processed using a nested loop 2016-07-04

45.    PI61155: INCORRECT COMPOUND FILTER FACTOR ESTIMATION FOR TWO RANGE PREDICATES
Inefficient index is selected due to incorrect compound filter factor estimation for two range predicates. 2016-07-04

46.    PI50999: INCORRECT MATCHING FILTER FACTOR ESTIMATION FOR DPSI WHEN THE JOIN PREDICATES INVOLVE PARTITION KEY
Inefficient access path is used in a join or correlated subquery because IMFF of DPSI is not correctly estimated when the join       2016-06-02

47.    PI58329: INCORRECT VALUE IN QW0022RX FIELD FOR IFCID022 WHEN UNDER REOPT(ONCE) OR REOPT(AUTO)
Incorrect value in QW0022RX field for IFCID022 when under REOPT ONCE OR REOPT AUTO .   2016-05-04

48.    PI53774: INEFFICIENT ACCESS PATH CHOSEN WHEN Db2 INCORRECTLY ESTIMATES THE FILTERING WHEN COMBINING TWO RANGE ...
Inefficient access path may be chosen when Db2 incorrectly estimates the filtering when combining two range predicates into      2016-04-05

49.    PI54988: OPTIMAL INDEX ACCESS MAY NOT BE USED WHEN STATISTICS IS NOT COLLECTED
Optimal index access may not be used when statistics is not collected.    2016-04-05

50.    PI44963: INCORRECT COST ESTIMATION FOR I1 INDEX SCAN
Cost estimation in DSN_STATEMNT_TABLE is very high for one-fetch index scan(I1). Prefetch method is 'D' in the   2016-03-10

51.    PI53790: INCORRECT ACCESS PATH CHOSEN FOR OPTIMIZE FOR 1 ROW
Db2 is producing an incorrect and inefficient access path in V11 when the OPTIMIZE FOR 1 ROW clause is added to a query which 2016-03-02

52.    PI50063: AN INACCURATE COMPOUND FILTER FACTOR MAY BE PRODUCED FOR A PREDICATE WITH AN OR CLAUSE
AN INACCURATE COMPOUND FILTER FACTOR MAY BE PRODUCED FOR A PREDICATE WITH AN OR CLAUSE 2016-02-01

53.    PI49507: DIFFERENT ACCESS PATH IS USED WHEN QUERY ON VIEW INSTEAD OF BASE TABLE.
A view is directly created on a base table. SQL statement on the view should be equivalent to the SQL on the base table. 2016-02-01

54.    PI49557: INEFFICIENT ACCESS PATH FOR QUERY WITH FUNCTION MIN OR MAX BY INCORRECT REDUCTION FOR EARLY OUT
Inefficient access path for query with function MIN or MAX by incorrect reduction for early out        2016-01-04

 

Remove the filter for optimizer csects and you get 56:


1.     PI79438: INEFFICIENT ACCESS PATH FOR QUERY WITH MIN/MAX AND NO GROUP BY
An inefficient access path can be chosen when a query contains a MIN/MAX function with no Group BY.        2017-10-02

2.     PI84286: JOIN PREDICATE WITH CAST FUNCTION NON-INDEXABLE
A join predicate can become non-indexable if the predicate contains a decimal function without the length and scale    2017-10-02

3.     PI83769: AN INEFFICIENT INDEX CAN BE SELECTED TO PARTICIPATE IN MULTI-INDEX ACCESS
AN INEFFICIENT INDEX CAN BE SELECTED TO PARTICIPATE IN MULTI-INDEX ACCESS WHEN THERE IS A HIGH DEGREE OF UNCERTAINTY      2017-09-26

4.     PI86573: BETTER MATCHING INDEX NOT CHOSEN WHEN COMPETING INDEXES CONTAIN A SUBSET OF THE SAME COLUMNS.
A better matching index can be overlooked when the competing indexes share a set of the same columns.        2017-09-21

5.     PI82772: INEFFICIENT ACCESS PATH IS USED BECAUSE OF AN INCORRECT COMPOUND FILTER FACTOR OF RANGE PREDICATES
The compound filter factor of two range predicates on the same column is underestimated, that causes an inefficient access      2017-09-02

6.     PI82601: LESS FILTERING INDEX SELECTED FOR INNER TABLE OF NESTED LOOP JOIN
A smaller, less filtering index is selected for the inner table with a Nested Loop Join.      2017-09-02

7.     PI78532: NON-MATCHING INDEX CHOSEN WHEN A MATCHING INDEX EXISTS 17/08/30 PTF PECHANGE
A non-matching index could be chosen when an index with good matching exists.    2017-08-30

8.     PI63607: INEFFICIENT ACCESS PATH COULD OCCUR WITH CARTESIAN JOIN
An inefficient access path could occur when the result of a Cartesian join does not produce better index matching on the      2017-08-30

9.     PI79775: INDEX PROBING NOT BEING INVOKED
Under certain conditions, index probing is not being utilized for predicates that calculate a FF with no matching rows    2017-08-02

10.    PI80690: AE PI76369 FIX COMPLETION
AE PI76369 fix completion.        2017-07-05

11.    PI76369: ABSTRACT:INEFFICIENT ACCESS PATH WITH SORT DISTINCT IN CTE
AN INEFFICIENT ACCESS PATH CAN BE CHOSEN WHEN A SORT FOR DISTINCT IS NEEDED INSIDE A CTE.     2017-06-05

12.    PI75212: DURING AUTOBIND USING QUERYACCELERATION (ENABLE) BIND OPTION, STATIC QUERY IS BOUND FOR ACCELERATION ...
During AUTOBIND for a package bound QUERYACCELERATION(ENABLE), Db2 unexpectedly selects an IDAA access path and binds the query   2017-06-02

13.    PI59793: UNDERESTIMATED TOTAL INDEX FILTERING WITH PAGE RANGE SCREENING WHEN THE PAGE RANGE COLUMNS ARE NOT IN THE INDEX
An inaccurate IMFFADJ value will be generated in instances where when page range screening is performed and the columns used for      2017-05-03

14.    PI62376: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-04-11

15.    PI75342: ACCESS PATH FOR A QUERY WITH GROUP BY AND ORDER BY CLAUSES INCLUDES AN UNNECESSARY SORT.
For the following query the access path includes a sort although it is not necessary: 2017-04-03

16.    PI72177: INEFFICIENT ACCESS PATH IS SELECTED.
List prefetch plan with higher cost may be chosen mistakenly when there is one table in the query block and the index covers        2017-04-03

17.    PI70394: ABSTRACT=INEFFICIENT ACCESS PATH WITH SINGLE VALUE PAGE RANGE PREDICATE.
An inefficient access path can be chosen when page range access is used for a join predicate and the columns has a cardinality 2017-03-09

18.    PI73338: INEFFICIENT JOIN ACCESS ON PARTITIONED TABLE
Nested loop join may be chosen as the join type when hybrid join would likely have been a better choice.      2017-02-01

19.    PI66289: INDEX WITH LESS MATCHING COLUMNS IS CHOSEN FOR INNER TABLE WHICH MAY CAUSE BAD PERFORMANCE
Index with less matching columns is chosen for inner table which may cause bad performance    2017-01-12

20.    PI65041: SQLACCESSPATH OF THE ENTRY WITH LATEST TIMESTAMP AND ACCESSTYPE NR IS NOT SELECTED WHEN BIND PKG WITH OPTHINT ...
When BIND PACKAGE with OPTHINT and EXPLAIN(YES), the latest timestamp NR path will lost the chance to compete with other 2017-01-12

21.    PI58411: INCORROUT CAN OCCUR FOR AN UPDATE QUERY USING TEMPORAL TABLES.
Temporal table has multiple indexes. One index to support the primary key constraint and one to support queries against the       2017-01-04

22.    PI69685: ABEND04E RC00E70005 AT DSNXGRDS DSNXOB2 M105 ON AN SQL STATEMENT WITH ATTRIBUTE CONCENTRATE STATEMENTS WITH ...
ABEND04E rc00e70005 at dsnxgrds dsnxob2 M105 in a prepared SQL statement with prepared attributes clause CONCENTRATE STATEMENTS     2017-01-03

23.    PI71365: R-SCAN ACCESS PATH CHOSEN OVER MULTI-INDEX ACCESS FOR A TABLE WHICH QUALIFIES FOR NPGTHRSH BEHAVIOR
R-scan access path chosen over multi-index access for a table which qualifies for NPGTHRSH behavior.        2017-01-03

24.    PI68896: INCORRECT FILTER FACTOR FOR PARTITION KEY OF VOLATILE TABLE
Db2 may calculate a incorrect filter factor for using BETWEEN and RANGE predicates, when a volatile table is defined as 2017-01-03

25.    PI71415: POOR SQL PERFORMANCE WHEN THE ACCESS PATH USES NON-MATCHING INDEX FOR INDEX SKIPPING
Poor SQL Performance when the access path uses non-matching index for index skipping . 2017-01-03

26.    PI63541: INEFFICIENT ACCESS PATH WITH EARLY OUT
Ineffecient access path can be chosen when the access plan qualifies for index skipping but no index covers the join     2017-01-03

27.    PI68380: SUBOPTIMAL ACCESS PATH WITH A NESTED LOOP JOIN AND MULTI-INDEX ACCESS
A suboptimal access path is chosen when multi-index access is chosen as the inner table for a nested loop join. A hybrid join   2016-12-01

28.    PI67499: INEFFICIENT NON-MATCHING INDEX SCAN IS SELECTED WHEN THERE ARE MORE THAN 1 TABLES IN THE QUERY BLOCK WITH ...
Inefficient non-matching index scan is selected when when the query contains DISTINCT in the query and there are more than 1 2016-12-01

29.    PI70237: INEFFICIENT ACCESS PATH WHEN A QUERY HAS INSUBQ OR EXISTS-SUBQ AND THE SUBQUERY HAS A SINGLE TABLE
Inefficient access path when a query has INSUBQUERY or EXISTS-SUBQUERY and the subquery has a single table. Optimizer    2016-12-01

30.    PI66248: INEFFICIENT ACCESS PATH WHEN NESTED LOOP JOIN USED TO ACCESS A INNER MATERIALIZED QUERY BLOCK
An inefficient rscan access path for the inner table of a nested loop join when the the inner table is a materialized workfile.       2016-12-01

31.    PI64874: INDEX PROBING MAY ACCESS UNQUALIFIED PARTITION AT PREPARE TIME
Unqualified partitions are claimed by index probing at prepare time, that causes unnecessary locking issue and group buffer     2016-11-02

32.    PI62713: INCORROUT WITH SQLSTATE 01003 OCCURRED FOR A QUERY WITH LEFT OUTER JOIN AND ORDER BY AND ALSO RUNNING WITH ...
incorrout (wrong data) with SQLSTATE 01003 occurred for a query with LEFT OUTER JOIN and ORDER BY and also running with Sort     2016-11-02

33.    PI52204: INCORRECT DPSI LEAF PAGE ESTIMATION WHEN ALL THE PARTITION KEYS CONTAINS LOCAL PREDICATES
Inefficient access path is selected due to incorrect DPSI leaf page estimation when all the partition keys contains local 2016-10-03

34.    PI64234: INEFFICIENT ACCESS PATH INVOLVING RANGE LIST PREDICATE(S)
A Range list access path could be chosen when a more efficient access path is available.      2016-10-03

35.    PI64779: SELECT DISTINCT RETURNS DUPLICATE VALUES.
Incorrect output can occur when the DISTINCT keyword is used, matching index access is used on the IN-list, but the IN-list   2016-10-03

36.    PI64089: PERFORMANCE IMPACT WITH CTE SELECTED FROM A VIEW
When a CTE is defined in a view, a sub-optimal access path may occur. A optimal access path will be estimated for the CTE, and        2016-10-03

37.    PI61435: INCORRECT FILTER FACTOR MAY BE ASSIGNED FOR PAGE RANGE SCREENING PREDICATES WHEN PARTITION KEYS ARE DEFINED AS ...
Incorrect filter factor may be assigned for page range screening predicates when partition keys are defined as VARCHAR 2016-10-03

38.    PI60761: Enable NPGTHRSH for qualified partitions of a partitioned table based on partition level NPAGES.
The code to enable NPGTHRSH for qualified partitions of a partitioned table based on partition level stats (NPAGES)      2016-09-02

39.    PI61886: IN SUBQUERY FAILS TO MATCH ON INDEXABLE IN LIST COLUMN
For a query which contains an IN list on a subquery, Db2 currently will use the IN list column in an index match if the 2016-09-02

40.    PI60056: INEFFICIENT ACCESS PATH WITH AGGREGATE FUNCTIONS SELECT(MAX) OR SELECT(MIN).
Less than optimal performance is the result when the optimizer makes a inefficient access path decision when the aggregate       2016-08-02

41.    PI60333: UNNECESSARY SORT FOR ORDER BY WHEN DISTINCT/GROUP BY LIST COVERS A UNIQUE INDEX AND SELECTED INDEX SUPPORT ...
When a query contains an ORDER BY and DISTINCT/GROUP BY clause whose columns cover a unique index, Db2 selects an index with 2016-08-02

42.    PI61893: INCORROUT WITH UPDATE STATEMENT AND CORRELATED SUBQUERY
A INCORROUT conditions occurs when a UPDATE statement is coded with a correlated subquery that contains a DISTINCT and FETCH     2016-08-02

43.    PI60206: POOR SQL PERFORMANCE OF A QUERY THAT HAS A CORRELATED SUBQUERY COST REDUCTION
Poor SQL performance of a query that has a correlated subquery cost reduction . 2016-08-02

44.    PI59348: INEFFICIENT INDEX SELECTION FOR THE INNER TABLE OF A JOIN
Less than optimal performance is the result when the optimizer makes a inefficient index selection for the inner table of a   2016-07-15

45.    PI54868: PERFORMANCE DEGRADATION WITH PAGE RANGE FILTERING ON A JOIN PREDICATE AND NO LOCAL PREDICATES
Db2 is not estimating the correct index filtering when page range filtering is available on a join predicate and no local     2016-07-12

46.    PI57513: GROUP BY/DISTINCT/MIN/MAX CLAUSES RESULT IN INCORRECT ACCESS PATH DUE TO INVALID COST REDUCTION
In V11, materialized work files which are used as the inner tables for left joins are being processed using a nested loop 2016-07-04

47.    PI61155: INCORRECT COMPOUND FILTER FACTOR ESTIMATION FOR TWO RANGE PREDICATES
Inefficient index is selected due to incorrect compound filter factor estimation for two range predicates. 2016-07-04

48.    PI50999: INCORRECT MATCHING FILTER FACTOR ESTIMATION FOR DPSI WHEN THE JOIN PREDICATES INVOLVE PARTITION KEY
Inefficient access path is used in a join or correlated subquery because IMFF of DPSI is not correctly estimated when the join       2016-06-02

49.    PI58329: INCORRECT VALUE IN QW0022RX FIELD FOR IFCID022 WHEN UNDER REOPT(ONCE) OR REOPT(AUTO)
Incorrect value in QW0022RX field for IFCID022 when under REOPT ONCE OR REOPT AUTO .   2016-05-04

50.    PI53774: INEFFICIENT ACCESS PATH CHOSEN WHEN Db2 INCORRECTLY ESTIMATES THE FILTERING WHEN COMBINING TWO RANGE ...
Inefficient access path may be chosen when Db2 incorrectly estimates the filtering when combining two range predicates into      2016-04-05

51.    PI54988: OPTIMAL INDEX ACCESS MAY NOT BE USED WHEN STATISTICS IS NOT COLLECTED
Optimal index access may not be used when statistics is not collected.    2016-04-05

52.    PI44963: INCORRECT COST ESTIMATION FOR I1 INDEX SCAN
Cost estimation in DSN_STATEMNT_TABLE is very high for one-fetch index scan(I1). Prefetch method is 'D' in the   2016-03-10

53.    PI53790: INCORRECT ACCESS PATH CHOSEN FOR OPTIMIZE FOR 1 ROW
Db2 is producing an incorrect and inefficient access path in V11 when the OPTIMIZE FOR 1 ROW clause is added to a query which 2016-03-02

54.    PI50063: AN INACCURATE COMPOUND FILTER FACTOR MAY BE PRODUCED FOR A PREDICATE WITH AN OR CLAUSE
AN INACCURATE COMPOUND FILTER FACTOR MAY BE PRODUCED FOR A PREDICATE WITH AN OR CLAUSE 2016-02-01

55.    PI49507: DIFFERENT ACCESS PATH IS USED WHEN QUERY ON VIEW INSTEAD OF BASE TABLE.
A view is directly created on a base table. SQL statement on the view should be equivalent to the SQL on the base table. 2016-02-01

56.    PI49557: INEFFICIENT ACCESS PATH FOR QUERY WITH FUNCTION MIN OR MAX BY INCORRECT REDUCTION FOR EARLY OUT
Inefficient access path for query with function MIN or MAX by incorrect reduction for early out        2016-01-04

 

So we are still talking about just over two per month…

 

Db2 10 APAR Review sqlaccesspath

Just drop the B10 and add A10 to the search and do it all again.


1.     PI49116: TOTALENTRIES TRUNCATED IN RTS FOR LARGE LOAD RESULTS IN REBUILD INDEX FAILING
2.6 billion row table load is truncating totalentries in RTS.                                                         2016-12-01

2.     PI66401: POOR PERF FOR XMLTABLE FUNCTION WITH PREDICATE BEING PUSHED INSIDE XPATH PRODUCES LOOSE HIGH KEY VALUE FOR ...
The XMLTABLE function is producing a loose high key value for MSIKEYP2 when searching for a specific docid.           2016-12-01

3.     PI15740: INCORROUT DUPLICATED RECORDS RETURNED FOR QUERY WITH SQLACCESSPATH OF RANGELIST
The problem can happen when 1) range list access is used,                                                            2016-01-30

Again, remove the yesHIPER and now there are 16 APARs

 


1.     PI85418: PREPARE TAKES LONG TIME AND HIGH CPU IF THE QUERY CONTAINS MANY OR PREDICATES WHICH MAY QUALIFY RANGE LIST ...
A complex query contains many OR predicates that potentially qualifies range list access(ACCESSTYPE=NR), the prepare of the      2017-09-25

2.     PI76372: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-05-01

3.     PI49116: TOTALENTRIES TRUNCATED IN RTS FOR LARGE LOAD RESULTS IN REBUILD INDEX FAILING
2.6 billion row table load is truncating totalentries in RTS.      2016-12-01

4.     PI66135: INEFFICIENT INDEX MAY BE SELECTED
An inefficient index may be chosen by the optimizer when certain levels of uncertainly exist on some predicates. 2016-12-01

5.     PI66401: POOR PERF FOR XMLTABLE FUNCTION WITH PREDICATE BEING PUSHED INSIDE XPATH PRODUCES LOOSE HIGH KEY VALUE FOR ...
The XMLTABLE function is producing a loose high key value for MSIKEYP2 when searching for a specific docid.       2016-12-01

6.     PI58274: Inefficient access path for a query with OPTIMIZE FOR 1 ROW or FETCH FIRST 1 ROW when an inner index matches ...
When the outer composite is guaranteed to be a single row and OPTIMIZE FOR 1 ROW or FETCH FIRST 1 ROW is specified, Db2 is not   2016-07-04

7.     PI59200: AN INDEX WITH LESS MATCHING COLUMN IS USED WHEN QUERY CONTAINS IN LIST PREDICATE
Optimal index may not be used for below query, SELECT * FROM TB1   2016-07-04

8.     PI39053: CLAIM ACQUIRE FOR SET STATEMENTS AGAINST SYSTSTAB RESULTS IN DSNT501I RC00C200EA DURING CATALOG REORG
Claim acquire for SET statements against SYSTSTAB results in DSNT501I RC00C200EA during Db2 CATALOG REORG 2016-05-19

9.     PI54892: DIFFERENT ACCESS PATH IS USED DUE TO A TIMING ISSUE IN OPTIMIZER
Different access path is used due to a timing issue in optimizer. 2016-05-04

10.    PI53633: PERFORMANCE IMPACT WHEN DSNZPARM MAXRBLK IS SET GREATER THAN ACCEPTABLE VALUE
When MAXRBLK is set to a value of 16777216 or higher, the run time evaluation will be incorrect with the threshold       2016-05-04

11.    PI57655: DIRECT ROW ACCESS IS DEFEATED WHEN THE QUERY HAS FFNR
Poor performance due to Direct Row Access through ROWID column being degraded to index/tablespace scan when the query has a 2016-05-04

12.    PI54978: MERGE STATEMENT USES DEFAULT TABLE CARDINALITY WHEN CARDINALITY IS PROVIDED VIA THE "FOR N ROWS" CLAUSE
The merge statement uses the default table cardinality of 10000 when the cardinality is provided via the "FOR n ROWS" clause.   2016-05-04

13.    PI56300: POOR BIND PERFORMANCE MAY OCCUR DUE TO UNNECESSARY ACCESS TO PLAN_TABLE WHEN SET STATEMENT IS APPLIED
Poor bind performance may occur due to unnecessary access to PLAN_TABLE when SET statement is applied.     2016-04-05

14.    PI49018: ACCESS PATH ENHANCEMENT FOR A QUERY CONTAINING A JOIN PREDICATE ON A TABLE WITH DEFAULT COLUMN CARDINALITY ...
Db2 recognizes cases in which an ordered outer table can provide benefit on access to the inner table. When the outer table is    2016-03-02

15.    PI53169: POOR SQL PERFORMANCE WHEN RANGE LIST ACCESS IS USED AND PTF UI22717 IS APPLIED 15/11/25 PTF PECHANGE
Poor SQL performance when range list access is used and PTF UI22717 is applied .       2016-03-02

16.    PI15740: INCORROUT DUPLICATED RECORDS RETURNED FOR QUERY WITH SQLACCESSPATH OF RANGELIST
The problem can happen when 1) range list access is used,   2016-01-30

 

Remove the filter for optimizer csects and you get 17:


1.     PI85418: PREPARE TAKES LONG TIME AND HIGH CPU IF THE QUERY CONTAINS MANY OR PREDICATES WHICH MAY QUALIFY RANGE LIST ...
A complex query contains many OR predicates that potentially qualifies range list access(ACCESSTYPE=NR), the prepare of the      2017-09-25

2.     PI76372: INEFFICIENT ACCESS PATH CHOSEN WHEN NO MATCHING INDEX EXISTS TO SATISFY THE JOIN PREDICATE.
An inefficient access path can be selected for a query with no matching index to cover the join predicate.   2017-05-01

3.     PI71693: REMOTE CONNECTION ATTEMPT RESULTS IN NONMATCHING INDEX SCAN OF DSNFEX01 WHEN ROW FOR AUTHID IS MISSING FROM ...
Db2DDF See APAR PI76121 for Db2 12 for z/OS.   2017-03-02

4.     PI49116: TOTALENTRIES TRUNCATED IN RTS FOR LARGE LOAD RESULTS IN REBUILD INDEX FAILING
2.6 billion row table load is truncating totalentries in RTS.      2016-12-01

5.     PI66135: INEFFICIENT INDEX MAY BE SELECTED
An inefficient index may be chosen by the optimizer when certain levels of uncertainly exist on some predicates. 2016-12-01

6.     PI66401: POOR PERF FOR XMLTABLE FUNCTION WITH PREDICATE BEING PUSHED INSIDE XPATH PRODUCES LOOSE HIGH KEY VALUE FOR ...
The XMLTABLE function is producing a loose high key value for MSIKEYP2 when searching for a specific docid.       2016-12-01

7.     PI58274: Inefficient access path for a query with OPTIMIZE FOR 1 ROW or FETCH FIRST 1 ROW when an inner index matches ...
When the outer composite is guaranteed to be a single row and OPTIMIZE FOR 1 ROW or FETCH FIRST 1 ROW is specified, Db2 is not   2016-07-04

8.     PI59200: AN INDEX WITH LESS MATCHING COLUMN IS USED WHEN QUERY CONTAINS IN LIST PREDICATE
Optimal index may not be used for below query, SELECT * FROM TB1   2016-07-04

9.     PI39053: CLAIM ACQUIRE FOR SET STATEMENTS AGAINST SYSTSTAB RESULTS IN DSNT501I RC00C200EA DURING CATALOG REORG
Claim acquire for SET statements against SYSTSTAB results in DSNT501I RC00C200EA during Db2 CATALOG REORG 2016-05-19

10.    PI54892: DIFFERENT ACCESS PATH IS USED DUE TO A TIMING ISSUE IN OPTIMIZER
Different access path is used due to a timing issue in optimizer. 2016-05-04

11.    PI53633: PERFORMANCE IMPACT WHEN DSNZPARM MAXRBLK IS SET GREATER THAN ACCEPTABLE VALUE
When MAXRBLK is set to a value of 16777216 or higher, the run time evaluation will be incorrect with the threshold       2016-05-04

12.    PI57655: DIRECT ROW ACCESS IS DEFEATED WHEN THE QUERY HAS FFNR
Poor performance due to Direct Row Access through ROWID column being degraded to index/tablespace scan when the query has a 2016-05-04

13.    PI54978: MERGE STATEMENT USES DEFAULT TABLE CARDINALITY WHEN CARDINALITY IS PROVIDED VIA THE "FOR N ROWS" CLAUSE
The merge statement uses the default table cardinality of 10000 when the cardinality is provided via the "FOR n ROWS" clause.   2016-05-04

14.    PI56300: POOR BIND PERFORMANCE MAY OCCUR DUE TO UNNECESSARY ACCESS TO PLAN_TABLE WHEN SET STATEMENT IS APPLIED
Poor bind performance may occur due to unnecessary access to PLAN_TABLE when SET statement is applied.     2016-04-05

15.    PI49018: ACCESS PATH ENHANCEMENT FOR A QUERY CONTAINING A JOIN PREDICATE ON A TABLE WITH DEFAULT COLUMN CARDINALITY ...
Db2 recognizes cases in which an ordered outer table can provide benefit on access to the inner table. When the outer table is    2016-03-02

16.    PI53169: POOR SQL PERFORMANCE WHEN RANGE LIST ACCESS IS USED AND PTF UI22717 IS APPLIED 15/11/25 PTF PECHANGE
Poor SQL performance when range list access is used and PTF UI22717 is applied .       2016-03-02

17.    PI15740: INCORROUT DUPLICATED RECORDS RETURNED FOR QUERY WITH SQLACCESSPATH OF RANGELIST
The problem can happen when 1) range list access is used,   2016-01-30

So we are still talking about just over one per month, which implies that Db2 10 was “more stable” in this area. To be fair, Db2 10 is a lot older (GA date 2010-10-22) than 11 and 12 so I am not surprised that after seven years the bug rate is dropping off!

What does all this mean?

What it means to me, is that just looking at sqlaccesspath shows a pretty high turnover rate that must be tested. There are HIPERs in here that could really hurt, and so applying maintenance, especially now in the Agile Db2 12 world, becomes even more critical to your business.

Are you ready for this?


More about : Db2 12 SQL access paths; Agile, SQL Codes/Catalog/Function Levels


See also our CDDC tool suite: Continuous Delivery – Deployment Check

CDDC Supports fully automated testing of the new Db2 agile delivery:

– BIF/ICI Detection: Checks incompatibilities on FUNCTION LEVEL
– Access Path PreCheck
– Creates quality environments from a production clone
– Capture the entire workload incl. DCL, DDL, commands…


 

As usual, if you have any comments or queries please feel free to drop me a line!

TTFN

Roy Boxwell

 

 

Tridex Oktober 2017

TRIDEX – Tri-State Db2 Technology Exchange

am Donnerstag den 5. Oktober, 2017 in New York, USA

SEGUS & SOFTWARE ENGINEERING sponsern und präsentieren

Db2 12 Continuous Delivery – New challenges for deployment.

pdf Präsentation

Fundamental changes in the Db2 z world often lead to concerns. Let’s face it – some changes force us to change! While a Db2 version migration usually took months, or even years, there will be no new Db2 version after 12, but continuous code drops.

This will have a tremendous impact on migration strategies, because we have to find a reliable way to test these code deliveries in a fraction of time. If we make it, Business Divisions will become enthused at how quickly new technology becomes available for new applications. This presentation will describe the difference between Code, Catalog, Function and Application Levels, how you can control them and how you can fallback in case of anomalies. It also illustrates how we still can be pro-active in testing without burning weeks and months.

Learn how to choose from four different levels of testing and a new way of automation. CD-Screening allows you to pick and choose from KPI based test automation. The levels include simple anomaly alerting, access path verification, clone Pre-apply and even workload capture/replay to easily discover different behaviour resulting from a new code Level.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

Joining this presentation, you’ll learn how to align Continuous Delivery to your Continuous Availability.


1 – Agile, Continuous Delivery, DevOps – just buzz words, or new methodologies?


2 – Db2 Code, Catalog, Function and Application Levels – differences and dependencies.


3 – Activation/Deactivation of new code and how to fallback and when you can’t.


4 – Different flavors of (pro-active) CD-Screening and how it can be automated:

* Anomaly alerting based on Incompatibility Change Indicators (ICIs)
* Dyn./Stat.Access Path Change Detection e.g.via Plan Management
* Clone based code change pre-apply exploiting Backup System
* Workload-KPI verification using SQL replay and KPI comparison


Audience Experience:    Intermediate Advanced
Platform:                          Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration Performance Management Db2 Migration

Speaker Biography

Ulf Heinrich is the Director of Solutions Delivery at SOFTWARE ENGINEERING GmbH. He specializes in Db2 recovery issues and database maintenance, focusing on the growing requirement for cost reduction and 24×7 operations. As a consultant at large customer sites, he has implemented database maintenance procedures and recovery strategies, and also experienced the pitfalls of recovery scenarios under real‐world recovery pressure. His activities cover EMEA, as well as North America through SE’ U.S. subsidiary, SEGUS Inc. He’s involved in the development of SE’ maintenance and recovery Solutions.

IDUG 2017 EMEA Db2 Tech Conference

IDUG 2017 EMEA Db2 Tech Conference, Lissabon, Portugal. IDUG EMEA.

2ten Oktober 2017

SEGUS & SOFTWARE ENGINEERING präsentieren

Db2 12 Continuous Delivery – New challenges for deployment.

Pdf Präsentation

Fundamental changes in the Db2 z world often lead to concerns. Let’s face it – some changes force us to change! While a Db2 version migration usually took months, or even years, there will be no new Db2 version after 12, but continuous code drops.

This will have a tremendous impact on migration strategies, because we have to find a reliable way to test these code deliveries in a fraction of time. If we make it, Business Divisions will become enthused at how quickly new technology becomes available for new applications. This presentation will describe the difference between Code, Catalog, Function and Application Levels, how you can control them and how you can fallback in case of anomalies. It also illustrates how we still can be pro-active in testing without burning weeks and months.

Learn how to choose from four different levels of testing and a new way of automation. CD-Screening allows you to pick and choose from KPI based test automation. The levels include simple anomaly alerting, access path verification, clone Pre-apply and even workload capture/replay to easily discover different behaviour resulting from a new code Level.


Mehr über Db2 Continuous Delivery – CD

Presentation Outline

Joining this presentation, you’ll learn how to align Continuous Delivery to your Continuous Availability.


1 – Agile, Continuous Delivery, DevOps – just buzz words, or new methodologies?


2 – Db2 Code, Catalog, Function and Application Levels – differences and dependencies.


3 – Activation/Deactivation of new code and how to fallback and when you can’t.


4 – Different flavors of (pro-active) CD-Screening and how it can be automated:

* Anomaly alerting based on Incompatibility Change Indicators (ICIs)
* Dyn./Stat.Access Path Change Detection e.g.via Plan Management
* Clone based code change pre-apply exploiting Backup System
* Workload-KPI verification using SQL replay and KPI comparison


Audience Experience:   Intermediate Advanced
Platform:                        Db2 z/OS
Presentation Length:     60 minutes
Presentation Category:  Database Administration Performance Management Db2 Migration

Speaker Biographie

Roy Boxwell has more than 31 years of experience in MVS, OS/390, and z/OS environments – 29 of those in Db2. He specializes in installation, migration, and performance monitoring and tuning. Roy leads the SEG development team responsible for the real time database maintenance solutions. He is also an active participant, speaker and contributor on the IDUG Db2 Listserv and sends out a monthly Db2 z/OS Newsletter.