Kategorie: News from the Labs

Yes, I admit it, I was surprised that IBM actually called it Db2 13 for z/OS in the end. I know IMS also had a 13 release but I still believed they would jump to 14! After all Apollo 13 was a disaster, albeit with a happy ending caused by a whole bunch of engineers working really well with the hardware and the design. I guess that was the reason for the „Apollo“ code name of this release of Db2. Anyways, on to my review of all things new and interesting in Db2 13.

What’ve We Got?

The most important bit is that you *must* be on Db2 12 FL510 to even think about getting to Db2 13. This is done to make the migration as easy as possible with no gotcha’s happening along the way!

System Check First!

Remember that automatic rebind will occur for any packages created before Db2 11. This should not happen but is never a good idea in production! Further, a whole bunch of ZPARMs have been removed and so you must check to see if you set these differently than default, if so then check what will happen in your shop with the „new“ values. Here’s a direct link to the docu all about new, changed and deprecated ZPARMs: https://www.ibm.com/docs/en/db2-for-zos/13?topic=13-subsystem-parameter-changes-in-db2

FL100 Hits

FL100 allows you to fallback to Db2 12 FL510 and also permits co-existence in data-sharing. This enables 24×7 availability as you go round-robin with the load libraries and bounce your Db2 members.

What Else do You get at FL100?

Index look-aside optimizations are there for INSERT, UPDATE and DELETE.

Sort

It gets seriously enhanced:

• the ability to generate machine code enabling DECFLOAT
• if you use grouping set, multiple distincts and PERCENTILE you also get generated machine code
• Sort can use its very own workfile
• larger sort tree size
• a check for ordered data on first iteration
• LISTAGG gets SUBSTR support
• Ability to avoid rereading a workfile, but only if Watson Machine learning is enabled
• Shrinking the length of long varchars (over 100 bytes), again only if Watson Machine learning is enabled
• z15 expanded support of SORTL, this also requires Watson Machine learning to be enabled

PBG Insert

The insert mechanism for PBGs got a nice update to drive a retry if the partition lock fails on the first insert attempt. This could well stop excessive growth of PBGs with heavy insert activity.

Below-the-Bar (BTB) Reduced and Above-the-Bar (ATB) Enhanced

As in all releases of Db2, the amount of BTB storage has been reduced primarily by reducing the agent BTB storage to use ATB storage instead. This applies to dynamic SQL statement text and attribute strings. When BTB storage exceeds 64% Db2 will automatically trigger a storage contraction of all private storage pools. Further, if you are at z/OS 2.5 you can use a new dynamic allocation function by updating the ALLOCxx parmlib member and set the SYSTEM SWBSTORAGE to ATB. This reduces the overhead per open dataset from 5KB down to 4KB. It might not sound much but when you have 200,000 open datasets it all adds up! The ATB storage clean-up also got improved to stop the usage of the IARV64 REQUEST(DISCARDDATA) during thread deallocation. Now a system level timer is used to trigger these clean-ups.

ECSA Reduced

For IFI users the ECSA usage has also been reduced from 50MB down to 8MB, however, you must make sure that you set aside around 50MB in HVCOMMON and 25MB for private storage to compensate for this. There is no such thing as a free lunch after all! The DDF per thread ECSA is now down to be the same as a local thread whereas before it was always 2KB more for a remote than a local thread. When the ECSA exceeds 85% Db2 will automatically trigger a storage contraction of all allocated pools within the ECSA.

DBAT Optimizations

These reduce the frequency and number of terminations and also flatten the spike when a surge of short-term DBATs increase usage quickly.

External Security Improvements

Db2 13 now caches the plan authorization checks as long as you have z/OS 2.5 and zparm AUTHEXIT_CACHEREFRESH set to ALL. At the same time, more IDs per plan are now cached.

Enhance RECOVERY Feature

RECOVER is enhanced so that it can use TP/IP level copies when a DSNUM ALL recover is requested. Pre-requisite is that it is only allowed on objects that are based on a UTS. Previously, RECOVER required a TS/IX level Image Copy to process this. Now it will check to see if it can do the RECOVER based upon the TP/IP copies that have been done.

FL500 Hits

AI

Artificial Intelligence finally comes to Db2 for z/OS with SQL data insights. These give cognitive intelligence to Built-in-Functions and can be used in SQL queries. More on these new functions later!

Role-Based Package Ownership

This completes the ability to use Trusted Context which assigns a ROLE to an inbound connection. It can now use this role as the package owner.

Utility Changes

Page sampling is now allowed for inline statistics. Within a REORG TABLESPACE or a LOAD utility you can now use page sampling (Like you can within RUNSTATS). Before this, only row sampling was allowed and page sampling can give a much bigger saving in CPU and elapsed time.

Online Conversion from PBG to PBR

As long as you have some sort of usable partitioning key you can now use ALTER to migrate from PBGs, which are getting very big and unwieldy, to the new and much better PBR RPN type UTS spaces. After the ALTER, a REORG simply completes the migration.

FTB Expanded

Unique index maximum size for FTB is now raised up to 128 bytes and for duplicate indexes up to 120 bytes. This greatly increases the possible scope of FTB usage.

Lock Timeout Controls

CURRENT LOCK TIMEOUT special register can be used to change the TIMEOUT by the application or even the SQL Statement. This can help reduce lock contention.

Profile Updates

The profile table can now be used for local threads as long as DDF is started with AUTO or COMMAND. These tables can now also contain CURRENT LOCK TIMEOUT and also the RELEASE_PACKAGE keyword with one of the COMMIT attributes.

Active LOG Delete

You can now delete an active log while Db2 is running, using the new REMOVELOG option from the -SET LOG command without having to stop and start D2b afterwards. This is very handy when you wish to resize all of your active logs!

How fast? – Very fast!

The first „real“ FL version 500 has *no* catalog changes! This simplifies migration again as there is no „real“ CATMAINT. There is still a CATMAINT job but it just sets internal flags and does *not* do any changes to the Catalog.

FL501 Hits

Deadlock Priority

New built-in global variable SYSIBMADM.DEADLOCK_RESOLUTION_PRIORITY gives you the ability to set your relative weighting about „who should die“ when a deadlock is detected. This is also added to the profile tables by the way.

Catalog Changes!

One duplicate catalog index is, finally, dropped and the brand new SYSIBM.SYSUTILITIES table is created and will start to be INSERTed into, more about this table later! Some of the real-time statistics (RTS) statistical columns got uprated from INTEGER to BIGINT or SMALLINT to INTEGER. This helps for really big shops where the RTS numbers just maxxed out all the time! Further, lock escalation is disabled on all RTS and RTS History tables.

Index Splits

The RTS also got three new columns in the SYSINDEXSPACESTATS table:

• REORGTOTALSPLITS – How many index splits since last REORG
• REORGSPLITTIME – Aggregated elapsed time for all index splits since last REORG
• REORGEXCSPLITS – Number of abnormally long (over one second) index splits since last REORG

All of these columns give good data about your index structures and possible changes to their definitions.

AI BiFs

We get three new Built-in Functions in Db2 13 FL500:

• AI_ANALOGY – Computes an analogy score between two values
• AI_SEMANTIC_CLUSTER – Computes a semantic clustering score of a member argument against a set of clustering arguments
• AI_SIMILARITY – Computes a similarity score between two values

In fact, these are the *only* BiF changes in Db2 13 up to FL501! I will not go into detail about how they work here but there is a bit of work that must be done „behind the scenes“ to get these beasts working… again – no such thing as a free lunch!

SYSIBM.SYSUTILITIES

Is a very interesting catalog table that contains a list of all Utilities that have run on the machine. It is updateable by anyone with the necessary rights so I recommend at least a yearly purge or it could grow to crazy sizes… The first support is pretty basic, just EVENTID, NAME, JOBNAME, UTILID, USERID, STARTTS, ENDTS, ELAPSEDTIME, CPUTIME, ZIIPTIME, RETURNCODE, CONDITION: Blank – Active or stopped utility, E – Execution has ended, F – Execution terminated by -STA db(x) sp(x) ACCESS(FORCE) or T – Execution terminated by -TERM UTILITY, RESTART: N – not restarted, Y – restarted, NUMOBJECTS, LISTNAME, STARTLOGPOINT: RBA for non-data-sharing or LRSN for data-sharing, GROUP_MEMBER, SORTNAME, SORTCPUTIME and SORTZIIPTIME. All of the other columns are „for future use“ but with those columns that are filled you can do some interesting Utility analysis! The interesting factoid about this table is that all the time columns were originally planned as being CHAR(8)… Thankfully IBM decided to change them to BIGINT columns containing microseconds thus making the table actually usable!

Getting there…

Of course you have to get to Db2 13 before you can start using all the stuff I have just been discussing. To make sure you get there as quickly and painlessly as possible, why not download our Migration HealthCheck software? It is free-of-charge, with licenced extensions, software that lists out the „state“ of your Db2. This includes all the prereqs for Db2 12 FL510 which must be reached before going to Db2 13 FL100 as well as all other deprecated features!

Any Plans?

What are your plans for going to Db2 13? I would be delighted to hear from you!

TTFN

Roy Boxwell

Update: One of my valued readers asked me if I could check whether or not LISTAGG accepts ORDER BY or not in Db2 13. Sadly I can confirm that only SUBSTR was added. ORDER BY still dies a death with an SQLCODE -390. My reader had even opened an AHA Idea request for this support, which I also voted for by the way, but it was rejected by Db2 support. The question that both of us have is „Why not?“ What is so hard about adding sort support? My personal theory is that, internally, it uses a LOB style object format which is not sortable, but why not just tell us? In Boston I will ask around…

This month I will delve into the wonderful new field QUERY_HASH in the SYSIBM.SYSPACKSTMT Db2 Catalog table.

Isn’t it Old?

The QUERY_HASH column first appeared back in the Db2 11 tables SYSQUERY and DSN_STATEMENT_CACHE_TABLE, where it is used to identify dynamic SQL and enable joining between these two tables.

Now it Gets Interesting

In Db2 12 it was added throughout the Catalog to tables SYSDYNQRY, SYSPACKSTMT and DSN_STATEMNT_TABLE, thus adding the availability to Static SQL as well as finishing the Dynamic SQL support.

For Static SQL, the column is actually very interesting. I will now show you a list of little queries that you can use to see what it is and how to use it at your site.

First up: Baseline

How many static SQL statements do you have in the Db2 catalog at this moment?

SELECT COUNT(*)
FROM SYSIBM.SYSPACKSTMT A
FOR FETCH ONLY
WITH UR
;

Gives me:

---------+---------+---------+---------+---------+---------+
324675
DSNE610I NUMBER OF ROWS DISPLAYED IS 1
DSNE616I STATEMENT EXECUTION WAS SUCCESSFUL, SQLCODE IS 100

0 = 0 = 0 ?

But that includes the „dummy“ stuff in all packages, so let’s rerun with a better predicate:

SELECT COUNT(*)
FROM SYSIBM.SYSPACKSTMT A
WHERE NOT (A.SEQNO  = 0
       AND A.STMTNO = 0
       AND A.SECTNO = 0)
FOR FETCH ONLY
WITH UR
;

Which shows my true list of actual SQLs:

---------+---------+---------+---------+---------+---------
319015
DSNE610I NUMBER OF ROWS DISPLAYED IS 1
DSNE616I STATEMENT EXECUTION WAS SUCCESSFUL, SQLCODE IS 100

So how many different hashes do I have?

SELECT COUNT(*)
     , HEX(A.QUERY_HASH) AS QUERY_HASH
FROM SYSIBM.SYSPACKSTMT A
WHERE NOT (A.SEQNO  = 0 
       AND A.STMTNO = 0 
       AND A.SECTNO = 0)
GROUP BY A.QUERY_HASH
ORDER BY 1 DESC
FETCH FIRST 100 ROWS ONLY
FOR FETCH ONLY
WITH UR
;

Gives me:

---------+---------+---------+---------+-----
      QUERY_HASH
---------+---------+---------+---------+-----
73671 00000000000000000000000000000000
27228 40404040404040404040404040404040
12161 00000000000000000000000025B72000
 9821 40C7C5D7C9E240404040404040404040
 7372 00000000000000000000000024CC5000
 5989 000000000000000000000000257CD000
 5324 000000000000000000000000257CB000
 4530 40404070580000800000000000000000
 4265 1372041862047A61177D116D03002220
 4033 00000000000000000000000024E2F000
 3791 000000000000000000000000257EB000
 3114 27B830EAC5C4D44040C7C5D7C9E24040
 3089 7A69031C0174677E6844533C59555533
 2881 7B7F67796A17051E04077C027E142055
 2690 1473780D166A031F575A2F432047382F
 2446 6C166B000A6E13186161751F1A255340
 2264 6D760D7A75066A7A111A691E62592154
 2248 27B8353AC5C4D44040C7C5D7C9E24040
 2098 000000000000000000000000257BA000

Now I was a bit worried about all the low-values and all the 4040 entries but thought „The low-values are probably not bound or not executable or some such.“ The spaces were more worrying! Then I noticed the rows with lots of leading zeroes…

Details, Details…

At this point I thought we needed to break down the SQLs between true „real“ SQLs and „fake“ ones – FETCH, OPEN, CLOSE, SET etc. which are not EXPLAINable. So I added the EXPLAINABLE column to the select to see if I was right:

SELECT COUNT(*)
     , A.EXPLAINABLE
     , HEX(A.QUERY_HASH) AS QUERY_HASH
FROM SYSIBM.SYSPACKSTMT A
WHERE NOT (A.SEQNO  = 0 
       AND A.STMTNO = 0 
       AND A.SECTNO = 0)
GROUP BY A.EXPLAINABLE, A.QUERY_HASH
ORDER BY 1 DESC, 2
FETCH FIRST 100 ROWS ONLY
FOR FETCH ONLY
WITH UR
;

Gives me:

---------+---------+---------+---------+---------+--------
      EXPLAINABLE QUERY_HASH
---------+---------+---------+---------+---------+--------
73485 N           00000000000000000000000000000000
27228 N           40404040404040404040404040404040
12161 N           00000000000000000000000025B72000
 9821 N           40C7C5D7C9E240404040404040404040
 7372 N           00000000000000000000000024CC5000
 5989 N           000000000000000000000000257CD000
 5324 N           000000000000000000000000257CB000
 4530 N           40404070580000800000000000000000
 4055 N           1372041862047A61177D116D03002220
 4033 N           00000000000000000000000024E2F000
 3791 N           000000000000000000000000257EB000

Aha! So I guessed right all these, well over a third of *all* SQLs are not actually explainable and so a QUERY_HASH would be a little bit pointless.

Getting There…

So, now I added a predicate to remove all those:

SELECT COUNT(*)
     , A.EXPLAINABLE
     , HEX(A.QUERY_HASH) AS QUERY_HASH
FROM SYSIBM.SYSPACKSTMT A
WHERE NOT (A.SEQNO  = 0 
       AND A.STMTNO = 0 
       AND A.SECTNO = 0)
  AND NOT A.EXPLAINABLE = 'N'
GROUP BY A.EXPLAINABLE, A.QUERY_HASH
ORDER BY 1 DESC, 2
FETCH FIRST 100 ROWS ONLY
FOR FETCH ONLY
WITH UR
;

Which gives me much better data:

---------+---------+---------+---------+---------+--------
    EXPLAINABLE QUERY_HASH
---------+---------+---------+---------+---------+--------
372 Y           6014030D641C1325583D214B504C3750
372 Y           3E4E5C30101603600A60620574076268
312 Y           70106E0C106E150F7274790C53255340
307 Y           49335C5B4A1C6B6276101914001D6D73
248 Y           53473E64001574120C191862767E1360

Enhanced It All!

Then I enhanced the query to now join back to the SYSPACKAGE and show me columns of interest from there, especially TYPE as I had a suspicion!

SELECT A.COLLID, A.NAME, A.CONTOKEN, A.TIMESTAMP
      ,A.BINDTIME, A.VALID, A.OPERATIVE, A.LASTUSED
      ,A.TYPE, B.STATUS, B.EXPLAINABLE, B.STATEMENT
FROM SYSIBM.SYSPACKAGE  A
    ,SYSIBM.SYSPACKSTMT B
WHERE NOT (B.SEQNO  = 0 
       AND B.STMTNO = 0 
       AND B.SECTNO = 0)
  AND     A.LOCATION    = ''
  AND     A.LOCATION    = B.LOCATION
  AND     A.COLLID      = B.COLLID
  AND     A.NAME        = B.NAME
  AND     A.CONTOKEN    = B.CONTOKEN
  AND     B.QUERY_HASH  = X'00000000000000000000000000000000'
  AND NOT B.EXPLAINABLE = 'N'
ORDER BY 2 , 1
FOR FETCH ONLY
WITH UR
;

Not my TYPE

Scrolling right to the TYPE column:

----+---------+---------+---------+---------+---------+---------+----
VALID OPERATIVE LASTUSED   TYPE STATUS EXPLAINABLE STATEMENT
----+---------+---------+---------+---------+---------+---------+----
Y     Y         2021-12-23      C      Y      DECLARE DB2JCCCURSOR8 C
Y     Y         0001-01-01      H      Y      DECLARE DB2JCCCURSOR1 C
Y     Y         0001-01-01      C      Y      DECLARE DB2JCCCURSOR3 C
Y     Y         2016-09-02 1
Y     Y         2016-09-02 1
Y     Y         2016-09-02 1
Y     Y         0001-01-01 1
Y     Y         0001-01-01 1
Y     Y         2022-05-12 N
Y     Y         2022-05-12 N
Y     Y         0001-01-01 T
Y     Y         0001-01-01 T

Aha! Advanced Triggers (1) , Procedures (N) and Normal Triggers (T). Functions(F) would also be there. There’s a Gotcha here, too: RESTful Services identify themselves like a normal package but with HOSTLANG=’R‘, yet they do not have a usable Hash. So then I removed all of these from the picture like this:

SELECT A.COLLID, A.NAME, A.CONTOKEN, A.TIMESTAMP
      ,A.BINDTIME, A.VALID, A.OPERATIVE, A.LASTUSED
      ,HEX(B.QUERY_HASH) AS QUERY_HASH
      ,B.STATUS, B.STATEMENT
FROM SYSIBM.SYSPACKAGE  A
    ,SYSIBM.SYSPACKSTMT B
WHERE NOT (B.SEQNO  = 0 
       AND B.STMTNO = 0 
       AND B.SECTNO = 0)
  AND A.LOCATION    = ''
  AND A.LOCATION    = B.LOCATION
  AND A.COLLID      = B.COLLID
  AND A.NAME        = B.NAME
  AND A.CONTOKEN    = B.CONTOKEN
  AND A.TYPE        = ' ' -- ONLY REAL PACKAGES
  AND B.EXPLAINABLE = 'Y' -- ONLY EXPLAINABLE SQL
  AND NOT B.HOSTLANG = 'R' -- NO RESTFUL SERVICES 
ORDER BY 2 , 1
FETCH FIRST 100 ROWS ONLY
FOR FETCH ONLY
WITH UR
;

Then I got the real data out:

---------+---------+---------+---------+---------+---------+---------
COLLID     NAME    CONTOKEN TIMESTAMP
---------+---------+---------+---------+---------+---------+---------
PTFCOLL008 ADMDMEM +oæ (p8  2021-10-08-12.40.14.562716
PTFCOLL008 ADMDMEM +oæ (p8  2021-10-08-12.40.14.562716
PTFCOLL008 BUILDS  ?À ã     2016-12-28-08.50.58.486446
PTFCOLL008 CLEAN   â­â  r4   2016-12-28-08.50.59.911739
PTFCOLL008 CLEAN   â­â  r4   2016-12-28-08.50.59.911739

-+---------+---------+---------+---------+--
BINDTIME                   VALID OPERATIVE
-+---------+---------+---------+---------+--
2022-01-20-15.26.20.128052 Y     Y
2022-01-20-15.26.20.128052 Y     Y
2022-01-20-15.26.20.533383 Y     Y
2022-01-20-15.26.20.639940 Y     Y
2022-01-20-15.26.20.639940 Y     Y

-----+---------+---------+---------+---------+------
LASTUSED   QUERY_HASH                       STATUS
-----+---------+---------+---------+---------+------
2022-03-21 48534A5F7A741F0E75131067686F066A C
2022-03-21 585850457A760F066F091067686F0668 C
2022-02-18 6A0A777E720B7B671E703E40232C584B C
0001-01-01 59283E494E332341514B37572A29376F C
0001-01-01 6F051C041E1C136A0024374B293F3742 C

--------+---------+---------+---------+---------+---
STATEMENT
--------+---------+---------+---------+---------+---
DECLARE PTFTOOL-02 CURSOR FOR SELECT A . PMEMBERNAME
DECLARE PTFTOOL-01 CURSOR FOR SELECT A . PMEMBERNAME
DECLARE GET-MEMBER CURSOR FOR SELECT A . RMEMBERNAME
DECLARE PTFTOOL-02 CURSOR FOR SELECT D . PTFNO , D .
DECLARE PTFTOOL-01 CURSOR WITH HOLD FOR SELECT D . P

Finally, I got my „real“ useful HASH data with text.

And Now?

So what can you do with the QUERY_HASH? One simple thing, is to just use it to pull out all the duplicate (see note below!) SQLs that you have in different collections or packages:

SELECT A.COLLID, A.NAME, A.CONTOKEN, A.TIMESTAMP
      ,A.BINDTIME, A.VALID, A.OPERATIVE, A.LASTUSED
      ,B.STATUS, B.STATEMENT
FROM SYSIBM.SYSPACKAGE  A
    ,SYSIBM.SYSPACKSTMT B
WHERE NOT (B.SEQNO  = 0 
       AND B.STMTNO = 0 
       AND B.SECTNO = 0)
  AND A.LOCATION    = ''
  AND A.LOCATION    = B.LOCATION
  AND A.COLLID      = B.COLLID
  AND A.NAME        = B.NAME
  AND A.CONTOKEN    = B.CONTOKEN
  AND A.TYPE        = ' ' -- ONLY REAL PACKAGES
  AND B.QUERY_HASH  = X'621B6C6564170F63151C5E45544E4A40'
  AND B.EXPLAINABLE = 'Y' -- ONLY EXPLAINABLE SQL
  AND NOT B.HOSTLANG = 'R' -- NO RESTFUL SERVICES 
ORDER BY 2 , 1
FETCH FIRST 100 ROWS ONLY
FOR FETCH ONLY
WITH UR
;

This shows me all the packages with the selected QUERY_HASH value:

---------+---------+---------+---------+
COLLID           NAME     CONTOKEN
---------+---------+---------+---------+
MDB2VNEX_TEST    DSMALTER ) }_8
RTDX0510RCH      DSMALTER î Ö t Y
RTDX0510_AT      DSMALTER À´ Â ¢
RTDX0510_BE      DSMALTER _K W y
RTDX0510_COLL_AN DSMALTER À´ Â ¢
RTDX0510_DA      DSMALTER î Ö t Y

---------+---------+---------+---------+---------+----
TIMESTAMP                  BINDTIME
---------+---------+---------+---------+---------+----
2019-04-08-14.40.11.723943 2022-01-20-15.23.56.457297
2021-11-10-08.34.22.949593 2022-02-28-09.51.35.203521
2021-11-09-10.25.16.043349 2022-05-10-09.05.47.146861
2021-11-17-06.25.25.922112 2022-03-21-13.44.10.759957
2017-11-09-13.17.35.820393 2022-04-25-14.27.48.875174
2021-12-01-11.36.44.218374 2022-03-21-13.44.49.788358

---+---------+---------+---------+--
VALID OPERATIVE LASTUSED   STATUS
---+---------+---------+---------+--
Y     Y         2021-11-22 C
Y     Y         0001-01-01 C
Y     Y         0001-01-01 C
Y     Y         0001-01-01 H
Y     Y         2021-03-24 C
Y     Y         0001-01-01 H

--+---------+---------+---------+---
STATEMENT
--+---------+---------+---------+---
INSERT INTO DSM_ALTER VALUES ( : H ,
INSERT INTO DSM_ALTER VALUES ( : H ,
INSERT INTO DSM_ALTER VALUES ( : H ,
INSERT INTO DSM_ALTER VALUES ( : H ,
INSERT INTO DSM_ALTER VALUES ( : H ,
INSERT INTO DSM_ALTER VALUES ( : H ,

This does add an extra, pretty neat, element to the DBA’s tool kit.

Useful for You?

Do you think you will be using this feature or just let external tooling handle all of this for your system?

I would be very interested to hear any, and all, of your thoughts!

TTFN

Roy Boxwell

Note: One thing that I have noticed is that the hash algorythm is not actually that good! I get duplicates which are not actually duplicate SQLs when only one – four characters are different (typically table names!) Not really a major problem but something you had all better be aware of!

This month I wish to finish off, what I started last month, my musings about UTS over the releases and years.

Db2 12 Changes to the UTS Picture

For Partitioned By Range (PBR), a brand-new space was created called the UTS PBR Relative Page Number (RPN) which was, in my opinion, the best thing in Db2 12! Quite simply, it allows the dynamic ALTERing of the partition and all of the related partitioned indexes DSSIZE on-the-fly even when a LOAD is running! This was great! Any users out there who have had a nightmare LOAD? Yep, now, as long as you are actively monitoring your data and index partition sizes, you can issue these ALTERs automatically and never hit the buffers like you do today.

DSSIZE gets propagated through

To enable this feature DSSIZE was improved to be settable at the data partition level and also extended to partitioned indexes. The available values were changed to allow any integer from 1 GB to 1024 GB. This allows extreme flexibility for all sizing requirements. Note, however, that NPSIs are still stuck in the middle of nowhere with just PIECESIZE as a helping hand…

Everything groovy???

So, what was wrong with this picture? Well, the change from PBR to PBR RPN was, shall we say, a little bit painful. The RID size got extended and as the RID is stored in *every* header page it required a tablespace reorg with partition-based inline image copies. Now, as you can well imagine, most people’s PBRs are pretty big, and allocating 4096 Virtual Tapes in parallel was just not going to happen! After a while IBM enhanced REORG so that you could put multiple copies on one tape, sort of like STACK, but much better – and not just for Tape but also for DASD. This has really accelerated the acceptance and usage of PBR RPN.

The future is bright!

Check this Blog entry:

https://www.idug.org/blogs/emil-kotrc1/2021/03/12/why-universal-table-spaces-uts

It is revealed that in Apollo (Db2 for z/OS vNext – Which has now been released as Db2 13 for z/OS), the ability to migrate from a PBG to a PBR will become available instead of the UNLOAD, DROP, CREATE, LOAD method which is the only way up until Db2 12. This will be very handy as the PBR RPN is the best way to go forward with large tablespaces (>60 GB) as long as you have *some* sort of available partitioning scheme, of course!

No more worries??

What do you need to worry about now? Well, you remember that huge LOAD I mentioned earlier that comes at the partition level? You must simply monitor the sizes of your partitioned objects and add a few GBs of space when required, on the fly, with no outage.

How?

Well, we have a little product called SAX+ which does exactly that! It starts the required OPx IFCID traces and computes the values against given thresholds, then automatically issues the ALTERs giving you a seamless experience with PBR RPNs. The only “problem” left now is when you are approaching the 1024 GB absolute PBR RPN physical limit. SAX+ warns you about this as well. Then you will have to either schedule a REBALANCE or a new LIMITKEY definition and REORG to spread the load again. However, when you know this well in advance it is no longer a serious problem!

Not yet at PBR RPN? – No problem!

PBRs which are not yet RPNs are monitored to warn when a threshold of usage in a data or index partition is exceeded. This also gives you more than enough lead time to get the REORG ready to switch it to RPN or just resize/rebalance your partitions.

What about PBGs?

PBGs are also fully supported within SAX+ as it can automatically add partitions, if desired, which additionally avoids SQLCODE -904’s. Plus, SAX+ adjusts the way it works depending on the MAXPARTITIONS and the actual number of allocated partitions. For example, MAXPARTITIONS 10 with a 90% warning would alert you when the ninth partition is allocated and in use. When the tenth partition gets allocated the warning switches from an LDS warning (Running out of available partitions) to a “last partition” filling up warning similar to PBRs which are not yet RPNs. This obviously helps a lot when you have MAXPARTITIONS 1 which is the IBM recommendation these days.

Anything else?

Naturally, SAX+ also takes care of the other problems that can catch you unawares:

• Running out of Linear Datasets (LOB, PBG, XML, non-UTS space and NPSI)
• Running out of space
• Running out of extents and also badly fragmented extents
• Running out of volumes
• Running out of physical range for SEQUENCES or IDENTITY columns
• Running out of physical range for Numeric Primary key columns
• Running out of DBATs
• Running out of space in SMS Storage Groups

All of the entries in the above list are very annoying when they hit you with no warning, especially running out of Linear Datasets. Think NPSIs here! Every PIECESIZE is an LDS and so you can run out of these quicker than you think.

LOG problems?

One last thing that SAX+ can help you with is detecting Db2 Log problems together with stalled logs… Not something you normally think of with a space management tool! When Db2 starts running out of space in active logs it issues the DSNJ110E message and I know shops who have „missed“ this alert. The problem was that the Db2 Log SMS Storage Group was getting full *and* the tape offload had stalled… As you can imagine this scenario is not pretty, so checking you Log storage groups is probably a good idea to guarantee you do not hit this problem!

That’s enough about UTS for this month. If IBM bring out another TLA for a TLA I will scream!

TTFN,

Roy Boxwell

To understand the UTS concept it helps to look back and see what we, at least in the Db2 world, started with!

In the beginning it was simple

In the beginning were simple tablespaces with the possibility of multiple tables all mixing rows with each other that meant performance got very bad after a very short period of time. We also got single table partitioned tablespaces that required a Partitioning Index (PI) to be created before you could use the table at all. You could also create non-partitioned indexes (NPIs) that were Unique or Non-Unique and were based on the data from all partitions. You could, sort of, manage the size of these using the PIECESIZE parameter, but most shops just took the default and never used it.

Something new in V2R1

Then in DB2 V2R1, we got segmented spaces where all of any given segment only held rows for one table. This improved performance a lot, especially for insert and mass delete processing. It stayed like this right up until DB2 V8.1 when the requirement for a PI was dropped as now you could “partition by table”. This was a leap forward and also brought in the new Data-Partitioned Secondary Index (DPSI) to allow a different partitioning scheme as opposed to the actual partitioning scheme. First, only non-unique DPSIs were allowed (Just think about up to 4096 index checks for breaking a unique rule!) Unique was then finally actually allowed in DB2 V9.1 as long as the DPSI columns were a superset of the partitioning columns. 

DB2 V8.1 the *big* release!

DB2 V8.1 was also the release that renamed our good old NPIs to be non-partitioned secondary indexes (NPSIs) The rules for “When is an index a partitioned index (PI or DPSI)?” or “When is it a non-partitioned secondary index (NPSI)?” are still pretty hard to explain – and most users just seem to guess! 

Death of a PI

The drop of the PI was very good but most shops kept them hanging around as the application code was using them all over the place. DPSIs became a problem right out of the get go causing massive index probes and performance headaches right up to this day. Nowadays, the vast majority of indexes are NPSIs with a few, hopefully well chosen, DPSIs and any required PIs.

DB2 V9.1 new things appearing

Then in DB2 V9.1 along came the new kid on the block – UTS.

IBM has mentioned on multiple occasions that any new Db2 features will only be developed for UTS usage, which has been seen with the developments of CLONE spaces, HASH spaces, Currently committed locking behavior, Pending DDL, Inline LOBs, XML multi-versioning, and ALTER TABLE with DROP COLUMN. This list just keeps on growing. 

The Universal TableSpace was born!

The UTS was created with two distinct and very different flavors.

Partition-By-Range (PBR) is a single-table, segmented tablespace that is partitioned on data values that are given at the table level. Partitions can be from 1 GB DSSIZE up to 64 GB DSSIZE in DB2 V9.1 (In DB2 10 it rose to 256 GB DSSIZE.) The maximum physical size of the partitions and the corresponding partitioned and non-partitioned indexes are all, relative to each other, the same. This was a modernization of the original partitioned table space with its index-based partitioning scheme. 

PBRs got used straightaway as the benefits of the segmented definition were quickly realized. They gave fast spacemap usage for variable length rows and much faster mass delete processing. Changing the maximum possible size, the DSSIZE, of a partition or even of a partitioned index was still very nasty as it required a complete tablespace REORG to action. For NPSIs there was no real change – still just PIECESIZE here to, sort of, manage the maximum size of the datasets.

Calculating the maximum possible sizes is also “non-trivial”. For the data partition it is relatively straightforward but for the PI, the DPSI, and the NPSI it is a pretty nasty set of calculations you must do – and any mistake can quickly lead to an SQLCODE -904!

Partition-By-Growth (PBG) is a single-table, segmented tablespace that can have from 1 to 4096 partitions, each of which can be from 1 GB DSSIZE up to 64 GB DSSIZE in DB2 V9.1 (In DB2 10 it rose to 256 GB DSSIZE.) The PBG cannot have a partitioning key but can have multiple NPSIs, if desired. The PBG was basically viewed as just one huge container where you could just insert rows forever. This has benefits and drawbacks! 

Benefits are: No worries about PI and DPSI definitions as you can only have NPSIs. No worries about running out of space – I mean 4096 huge partitions is a vast amount of space! 

Drawbacks are: No PI and so no way to balance the partitions, a terrible space map search algorithm that simply kills mass insert processes and a huge problem with utilities as it is “one huge space” – and reorganizing one part in the middle of 100’s just causes grief. Plus the inherent problems in copying or cloning data are more complicated, especially if the number of parts on source and target are not the same.

It all started so easily…

In the beginning people used MAXPARTITIONS 4096 thinking “I will never need to change this” but very very quickly it turned out that this was a disastrous idea! The problem being that *all* of the partitions required some control block storage in memory, even if not physically defined or even in use! This caused massive problems and the recommendation to drop down a *lot* in the usage of MAXPARTITIONS. Over the years it has dropped down even more and so now, as of Db2 12, the IBM recommendation for a PBG definition is:

MAXPARTITIONS 1 DSSIZE 64 GB

For the older readers amongst us it should be apparent that this is the good old Linear Dataset (LDS) limit for simple and segmented spaces but rolled out in a new way! For the younger people out there, when DB2 began you could only have 2GB in one VSAM dataset, and so simple and segmented datasets got the ability to allocate up to 32 VSAM datasets, thus giving us the *massive* amount of 64GB space! Coincidence? I think not!

That’s enough about UTS for this month, come back next month for a wrap up about how Db2 12 has changed this picture and all the ways to handle these spaces in the best possible way!

TTFN,

Roy Boxwell

This month I want to go through some of the absolutely most important ZPARMs that control how your Db2 systems behave in a very significant manner. All of the following ZPARMs have a performance impact of some sort and we are always trying to squeeze the last drop of performance out of our Db2 sub-systems, aren’t we?

Starting with the Easy Stuff…

CACHEDYN. YES/NO, default YES. Should always be set to YES unless you do not care about saving dynamic SQL performance. Back a few decades ago, the recommendation was to have this set to NO as default! Hard to believe that these days, where most shops have 80% – 90% dynamic SQL during the day!

Now we Get to the Numerics!

OUTBUFF. 400 – 400,000, default 4,000. This is *extremely* important and you really should set it to the highest possible value you can afford in real memory! As a minimum, it should be 102,400 KB (100MB). This is the buffer that Db2 uses to write log records before they are „really“ written to disk. The larger the buffer, the greater the chance that by a ROLLBACK the data required is in the buffer and not on disk. This is a big win and the default of 4,000 KB is crazy low!

Skeletons in the Closet?

EDM_SKELETON_POOL. 5,120 – 4,194,304, default 51,200. This is one of my personal favorites (I wrote a newsletter solely on this a few years ago) The default is way to small these days. I personally recommend at least 150,000 KB and actually even more if you can back it with real memory. Just like OUTBUFF, pour your memory in here but keep an eye on paging! If Db2 starts to page you are in serious trouble! Raising this can really help with keeping your DSC in control.

DBDs are Getting Bigger…

EDMDBDC. 5,000 – 4,194,304, default 23,400. The DBD Cache is getting more and more important as, due to UTS usage, the size of DBDs is increasing all the time. The default just doesn’t cut the mustard anymore so jump up to 40,960 as soon as you can.

DSC is Always too Small!

EDMSTMTC. 5,000 – 4,194,304, default 113,386. The EDM Statement Cache (really the Dynamic Statement Cache) is where Db2 keeps a copy of the prepared statements that have been executed. So when the exact same SQL statement with the exact same set of flags and qualifiers is executed, Db2 can avoid the full prepare and just re-execute the statement. This is basically a no-brainer and should be set to at least 122,880 KB. Even up to 2TB is perfectly ok. Remember: A read from here is *much* faster than a full prepare, so you get a very quick ROI and great value for the memory invested! Keep raising the value until your flushing rates for DSC drop down to just 100’s per hour, if you can! Remember to cross check with the EDM_SKELETON_POOL ZPARM as well. It always takes two to Tango…

How Many SQLs?

MAXKEEPD. 0 – 204,800, default 5,000. The Max Kept Dyn Stmts parameter is how many prepared SQLs to keep past commit or rollback. It should be set to a minimum of 8,000 or so. Raising this might well cause a large memory demand in the ssidDBM1 address space so care must be taken.

RIDs Keep Getting Longer…

MAXRBLK. 0, 128 – 2,000,000, default 1,000,000. RID POOL SIZE is the maximum amount of memory to be available for RID Block entries. It should be at least 1,000,000 and, if you can, push it to the maximum of 2,000,000. Unless you want to switch off all RID Block access plans in which case you set it to zero – Obviously not really recommended!

Sorts Always Need More Space

MAXSORT_IN_MEMORY. 1000 to SRTPOOL. The maximum in-memory sort size is the largest available space to complete ORDER BY, GROUP BY or both SQL Clauses. Remember that this is per thread, so you must have enough memory for lots of these in parallel. The number should be between 1,000 and 2,000, but whatever value you choose, it must be less than or equal to the SRTPOOL size.

Sparse or Pair-wise Access?

MXDTCACH. 0 – 512, default 20. Max data caching is the maximum size of the sparse index or pair-wise join data cache in megabytes. If you do not use sparse index, pair-wise join, or you are not a data warehouse shop, then you can leave this at its default. Otherwise, set it to be 41 MB or higher. If it is a data warehouse subsystem, then you could set this as high as 512 MB. (This ZPARM replaced the short-lived SJMXPOOL, by the way.)

Sort Node Expansion

SRTPOOL. 240 – 128,000, default 10,000. SORT POOL SIZE is the available memory that is needed for the sort pool. The default is 10,000 KB and should really be set to 20,000 KB at least, if not more! IFCID 96 can really help you size this parameter. Remember that the number of sort nodes leapt up from 32,000 in Db2 11 to 512,000 nodes for non-parallelism sorts and 128,000 nodes for a sort within a parallel child task in Db2 12. This means raising this ZPARM can have an even greater positive effect than before.

Your „Top Ten List“

These ten ZPARMs really influence how your Db2 system works and so must always be changed with great care and attention to detail. Always do a before and after appraisal to see whether or not changing them helped or hindered your system!

And Finally…

I have updated our Pocket Tool, Performance Health Check, to check and report all these ZPARMs, as well as all the other checks like the 6 Byte RBA/LRSN or the Mapping table changes or the reason for REORG etc etc. Feel free to download and run it, as it is but a click away!

If you have any comments, or other ZPARMs you think are also important for performance, feel free to drop me a line!

TTFN,

Roy Boxwell

This month I wish to do a quick run through, and review, of the effects of REBIND with active packages and how phases, both in and out, have given us some interesting problems to deal with!

Phase-In

As I mentioned in an earlier blog, the phase-in/phase-out was a very good idea indeed! It finally meant that we could do REBINDs whenever we wanted and no-one had to shut down servers to simply action a REBIND. This was always especially galling when it was an „empty“ package or just to get an FL upgrade.

Allowed?

Remember, Phase-in is only allowed with PLANMGMT(EXTENDED) style packages and if the package is not a generated package for a trigger or SQL routine, such as a procedure or user-defined function.

Problems ahead?

The problems began soon after it was introduced in June 2019 with PH09191 and FL505. Now, it looked really good, and indeed it was, but it had one little flaw… it still required a SIX lock to do the business.

Problem solved?

This was solved in January 2021 with APAR PH28693 which changed the lock from a SIX to a much better U lock. With this APAR all of our problems were fixed and life would be good!

Nope…

Sadly, we then found out that the inactive/phased-out packages were actually causing rapid space growth in the SYSPACKCOPY (Not in SYSPACKAGE!) Remember that the phased-out packages all get copied across with a new number to the „back-up“ SYSPACKCOPY for use until the active thread finally disconnects.

The Problem Gets Worse

Now these backed-up, old packages are sitting around in SYSPACKCOPY waiting until the next REBIND comes along whereupon Db2 will attempt a FREE. Various customers noticed that, for their intensely used packages, this free never really happened and so they „hit the buffers“ of 14 copy_ids for packages… very nasty!

Another APAR to the Rescue!

IBM then created a new APAR, PH33295, that enhanced the FREE PACKAGE command to have a new PLANMGMTSCOPE sub-clause PHASEOUT. All this does is delete all of those old, no longer used packages. However, I can testify that doing a:

FREE PACKAGE(*.*.(*)) PLANMGMTSCOPE(PHASEOUT)

in production is one of the scariest commands I have ever issued!!! Personally, I would have preferred a brand new command like FREE PHASEDOUT PACKAGES or so…

Invalid as Well

While you are ridding yourself of 100’s of packages you could also issue the PLANMGMTSCOPE(INVALID) command which removes the phased-out and also gets rid of the dead, invalid packages which cannot ever be used anyway.

Do not Forget to Tidy up!

Once all these commands have been done, a REORG of the tablespace DSNDB06.SYSTSPKC is very highly recommended!

How have you experienced phase-in and phase-out? Do you think it’s a great feature or not?

Whatever you think, I would love to hear from you!

TTFN,

Roy Boxwell

This month, I wish to discuss everything about indexes but focusing on Non-Partitioned Index’s (from now on NPIs). I must confess that the real name of an NPI is a Non-Partitioned Secondary Index but I really dislike that as a term…

In the Beginning was the Index

Well, actually, it was the data, but then we needed a quick way of accessing the data and so the index was born. In Db2, these are b-tree based indexes with a few system pages and then a hierarchy of non-leaf pages starting with the root page, which then branches down in levels until it finally hits the leaf page – and these contain the direct pointers to the data. Very fast and just a few getpage I/Os to read the non-leaf/leaf pages in.

Hope Springs Eternal

The hope is that all the system stuff, the root page, and quite a few other non-leaf pages will be hanging around in the bufferpool and so no real I/O is required, but you all know the real world? It never is like that!

Bigger and Bigger

Tables and tablespaces got bigger and bigger over time, so then the Partitioned Tablespace was born. At first it required a partitioning index (PI), but nowadays you should all be using table based partitioning.
Brief aside: Recently, there was a mega outage caused by a really nasty bug in Db2 that brought everything crashing down (PH41947). Root cause was the use of index-based partitioning – still! Do IBM test all these old things on all levels of code? Nope. Time to get my Migration HealthCheck freeware and migrate away from index-based partitioning as fast as you can!

A Star was Born

Well ok, not really a star but the PI started life a little bit dazed and confused, and the formula for calculating „how big can my PI can get before it goes *boom*“ is also impressive! (Check out my Know Your Limits presentation for the formulae!)

And Then Came the NPI

Now this PI was naturally unique, but we all needed a way to check for other data and possibly non-unique column combinations. So the non-partitioned index (NPI) was born. This is an index over the *complete* partition range and was normally heavily used by application SQL.

Pain points began

First major problem was the REORG of a single partition. It did the Tablepart (TP) data and it did the Index Part (IP), but it also had to update all the pointers within the NPI. This used to be terribly slow. At one shop, when reorging 22 partitions of a 254 partition TS it took 26 hours at the TP level and only 18 hours at the complete TS level. This is when we added to our RealTime DBAExpert utility generation software the ability to „roll up“ from a TP reorg to a TS reorg based on number of partitions being REORGed, percentage of partitions being REORGed, or whether or not at least one NPI existed.

A Piece of Cake?

The other major problem with NPIs is that they can have a PIECESIZE, which is how large a Linear Page Set (LPS) can get before a new one is created. You can have from 1 to 4096 pieces for a single NPI, and the calculation to work out how many pieces you are allowed to have is another brain-numbingly complex one – which is also in my limits presentation.

Some sample SQLs for you:

-- FIRST YOU MUST CALCULATE THE MAXIMUM NUMBER OF POSSIBLE PARTITIONS
SELECT INTEGER(MIN(4096 , POWER(2E00 , 32)
/ (
(64E00 * 1024E00 * 1024E00 * 1024E00) -- DSSIZE TS
/ (32 * 1024) -- TS PGSIZE
)
)) AS MAX_NBR_PARTS
FROM SYSIBM.SYSDUMMY1 ;
-- THEN YOU PLUG THAT NUMBER INTO HERE
SELECT MIN(
(64E00 * 1024E00 * 1024E00 * 1024E00) -- DSSIZE TS
, (POWER(2E00 , 32) / 2048 -- NBR PARTS
) * 4096 -- IX PGSIZE
) AS MAX_INDEX_SIZE
FROM SYSIBM.SYSDUMMY1 ;
-- FOR AN NPI YOU JUST NEED THE PIECESIZE AND THE INDEX PAGESIZE
SELECT INTEGER(MIN(4096 , POWER(2E00 , 32)
/ (
(8E00 * 1024E00 * 1024E00 * 1024E00) -- PIECESIZE
/ 4096 -- IX PGSIZE
)
)) AS MAX_PIECES
FROM SYSIBM.SYSDUMMY1 ;

Death by Index

Suffice it to say you can be killed by running out of space in your PI, running out of space in your NPI, or even running out of NPI LPS pieces…

A New Type of Index

A brand new index type, data-partitioned secondary index, DPSI was created in Db2 V8 so that you could access partitions without having to scan thousands of datasets. Naturally, DPSIs only work if the application SQL is cognizant of their definition and index. Failure to do so can give terrible performance. These are naturally also bound to their respective partitions. It was also at this time that NPIs got rebranded to be NPSIs…

Separation for Utilities is Good

The major utility benefit that partitioned TSs give, is the ability to run them in parallel, including RECOVER. It was a really great idea so that you would only REORG, COPY or RUNSTATS the partitions that required it, and all the partition level utilities could run in parallel.

Db2 9 was All Change

To make these REORGS faster, IBM changed the way REORG worked with partitioned objects in Db2 9. They did speed it up but it meant that you could no longer work in parallel! You could add ranges to the PARTs being reorged but still not in parallel. This caused much grief and gnashing of teeth amongst loads of customers. Thus, we developed the so-called NPI Job. Anything that has a dependency on an NPI could be squirreled away in the NPI job(s) to then be run sequentially by the job scheduler after all other jobs were finished. Nasty!

Faster, Better, Cheaper

Now, after over 35 years, the b-tree is showing its age. IBM came up with the FTB or FIT which, simply put, copies all the non-leaf pages into a private area of the bufferpool and then, using L2 cache-aware code, removes the need for I/Os, apart from the very last two, leaf and data page, and thus reduces I/O and CPU.

Limits Again

Of course this is not for *every* index. Only unique 64 bytes long or less with no IOE, TIMESTAMP with TIMEZONE, or versioning allowed. But hey, it was a start!

Duplicate Allowed

Now even duplicate indexes are there. Well, to start with, only 56 bytes or less but we are getting there! You will require PH30978 UI75643 and then set the new ZPARM FTB_NON_UNIQUE_INDEX to be YES.

Is an NPI Always an NPI?

Now to the core of the matter. As you should all be aware we can, talking about base tablespaces, only create Universal Table Spaces (UTS) in the three flavors we know and love – Partitioned by Growth, Partitioned by Range, and Partitioned by Range Relative Page Numbering.

And???

Well, imagine you have a TS with MAXPARTITIONS = 1 – by definition it cannot go to multiple partitions but all indexes created on it are also by definition NPIs. This is also sort of true for MAXPARTITIONS > 1 if the current number of defined and existing partitions (NUMPARTS) is equal to one.

„Fake“ NPIs

These are therefore, in my humble opinion, fake NPIs – You could argue that the NUMPARTS = 1 is „risky“, as Db2 could add a new partition by the next INSERT/UPDATE, but I think the risk is low. For these cases I think the jobs should not go to special NPI handling.

What are your Db2 maintenance jobs doing with these fake NPIs?

I would be very interested to hear from you all about your thoughts and plans here!

TTFN

Roy Boxwell

This month, I wish to review the changes we have seen for FIT or FTB (Fast Traversal Block) over the release of Db2 12 – including changes to the calculation, APARs of interest and updates to the basic functionality.

Way back when…

I wrote a blog back in 2019-08 all about FTB, where I mentioned that INCLUDE could kill you. Just include a one-byte column and you are over the limit of 64 bytes and your FIT-eligible index is no longer eligible…

All changed in FL508

In Db2 12 FL508, the docu got a significant update here: „Columns in the INCLUDE list do not count toward the size limit“ – YooHoo! Clarity! Sadly, that also means that the INCLUDED columns are naturally *not* used for FIT Access… You win some, You lose some.

What are eligible indexes?

The rules for this have not changed, (apart from the INCLUDE bit): 64 bytes or less, no versioning, no timezone, maximum of 10,000 FTBs per subsystem and not more than 2,000,000 leaf pages. What causes an index to be made FTB or not FTB can be gleaned from the list below. The FTB Daemon re-evaluates “traverse count” every 2 minutes, adjusts priority queue, internal threshold applied to priority queue:

• Any random index traversal, index only or index plus data (+1)
• Index lookaside (-1)
• Sequential access (-1)
• Index leaf page splits (/2)

So you can see that index splits really kill FTB candidates…

Do these look the same to you?

The massive change in FL508 was of course the introduction of duplicate index support! This was a fantastic improvement of course but, as always, someone has to pay the ferryman… In this case, duplicate index lengths can only be a maximum of 56 bytes.

Setting a good example?

The IBM supplied example queries cannot be correct… the calculation for index key length is missing a bunch of column types, and for duplicate indexes it has also got incorrect values.

Working Examples

Here are my two queries, updated for FL508, to find all of your FTB/FIT eligible indexes:

WITH INPUT (NLEVELS, LENGTH, TABLE_NAME, INDEX_NAME) AS
(SELECT B.NLEVELS
      , SUM(CASE D.COLTYPE
            WHEN 'DECIMAL'  THEN
                            SMALLINT(CEILING((D.LENGTH + 1 ) / 2 ))
            WHEN 'GRAPHIC'  THEN D.LENGTH * 2
            WHEN 'VARG'     THEN D.LENGTH * 2
            WHEN 'LONGVARG' THEN D.LENGTH * 2
            ELSE D.LENGTH
            END)
      + SUM(CASE B.PADDED
            WHEN 'Y' THEN 0
            ELSE
                CASE D.COLTYPE
                WHEN 'VARG'     THEN 2
                WHEN 'LONGVARG' THEN 2
                WHEN 'VARCHAR'  THEN 2
                WHEN 'LONGVAR'  THEN 2
                WHEN 'VARBIN'   THEN 2
                WHEN 'DECFLOAT' THEN 2
                ELSE 0
                END
            END)
      + SUM(CASE D.NULLS
            WHEN 'Y' THEN 1
            ELSE 0
            END) AS LENGTH
      , STRIP(D.TBCREATOR) CONCAT '.' CONCAT STRIP(D.TBNAME)
      , STRIP(B.CREATOR)   CONCAT '.' CONCAT STRIP(B.NAME)
 FROM SYSIBM.SYSINDEXES B
     ,SYSIBM.SYSKEYS    C
     ,SYSIBM.SYSCOLUMNS D
WHERE B.UNIQUERULE NOT IN ('D','N')         -- NOT DUPLICATE
  AND D.COLTYPE        <> 'TIMESTZ'         -- NOT TIMEZONE
  AND B.DBID            > 6                 -- NOT DIR/CAT
  AND B.OLDEST_VERSION  = B.CURRENT_VERSION -- NOT VERSIONED
  AND C.ORDERING       <> ' '               -- NO INCLUDE/IOE
  AND B.TBNAME          = D.TBNAME
  AND B.TBCREATOR       = D.TBCREATOR
  AND B.NAME            = C.IXNAME
  AND B.CREATOR         = C.IXCREATOR
  AND C.COLNAME         = D.NAME
GROUP BY D.TBCREATOR, D.TBNAME, B.CREATOR, B.NAME, B.NLEVELS)
SELECT NLEVELS, LENGTH , INDEX_NAME
FROM INPUT
WHERE LENGTH <= 64
-- ORDER BY NLEVELS DESC, LENGTH DESC -- IF STATISTICS ARE GOOD
ORDER BY LENGTH DESC, INDEX_NAME
FOR FETCH ONLY
WITH UR
;

And now for the duplicate ones:

WITH INPUT (NLEVELS, LENGTH, TABLE_NAME, INDEX_NAME) AS
(SELECT B.NLEVELS
      , SUM(CASE D.COLTYPE
            WHEN 'DECIMAL'  THEN
                             SMALLINT(CEILING((D.LENGTH + 1 ) / 2 ))
            WHEN 'GRAPHIC'  THEN D.LENGTH * 2
            WHEN 'VARG'     THEN D.LENGTH * 2
            WHEN 'LONGVARG' THEN D.LENGTH * 2
            ELSE D.LENGTH
            END)
      + SUM(CASE B.PADDED
            WHEN 'Y' THEN 0
            ELSE
                CASE D.COLTYPE
                WHEN 'VARG'     THEN 2
                WHEN 'LONGVARG' THEN 2
                WHEN 'VARCHAR'  THEN 2
                WHEN 'LONGVAR'  THEN 2
                WHEN 'VARBIN'   THEN 2
                WHEN 'DECFLOAT' THEN 2
                ELSE 0
                END
            END)
      + SUM(CASE D.NULLS
            WHEN 'Y' THEN 1
            ELSE 0
            END) AS LENGTH
      , STRIP(D.TBCREATOR) CONCAT '.' CONCAT STRIP(D.TBNAME)
      , STRIP(B.CREATOR)   CONCAT '.' CONCAT STRIP(B.NAME)
FROM SYSIBM.SYSINDEXES B
    ,SYSIBM.SYSKEYS    C
    ,SYSIBM.SYSCOLUMNS D
WHERE B.UNIQUERULE     IN ('D','N')         -- DUPLICATE
  AND D.COLTYPE        <> 'TIMESTZ'         -- NOT TIMEZONE
  AND B.DBID            > 6                 -- NOT DIR/CAT
  AND B.OLDEST_VERSION  = B.CURRENT_VERSION -- NOT VERSIONED
  AND C.ORDERING       <> ' '               -- NO INCLUDE/IOE
  AND B.TBNAME          = D.TBNAME
  AND B.TBCREATOR       = D.TBCREATOR
  AND B.NAME            = C.IXNAME
  AND B.CREATOR         = C.IXCREATOR
  AND C.COLNAME         = D.NAME
GROUP BY D.TBCREATOR, D.TBNAME, B.CREATOR, B.NAME, B.NLEVELS)
SELECT NLEVELS, LENGTH, INDEX_NAME
FROM INPUT
WHERE LENGTH <= 56
-- ORDER BY NLEVELS DESC, NLENGTH DESC -- IF STATISTICS ARE GOOD
ORDER BY LENGTH DESC, INDEX_NAME
FOR FETCH ONLY                  
WITH UR                         
;                               

APARs of Interest

Now FTB/FIT did have, shall we say, a difficult birth. Some people just said „Switch it off for now,“ and there are quite a few APARs out there for it… Here’s a list of APARs, all closed or opened within the last year.

APAR    Closed     PTF     Description
PH28182 2020-09-25 UI71784 INDEX LOOK ASIDE SUPPORT WHEN INDEX FAST TRAVERSE BLOCK(FTB) IS IN USE
PH29102 2020-10-27 UI72276 ABEND04E DSNKTRAV ERQUAL505B RC00C90101 FTB TRAVERSAL
PH29336 2020-09-22 UI71351 IRLM CORRECT RESULTANT HELD STATE FOR FTB PLOCKS WHEN PLOCK EXIT WOULD HAVE EXITTED WITH ERROR.
PH29676 2020-10-16 UI72118 ABEND04E RC00C90101 AT DSNKTRAV 5058 DURING INSERT VIA FTB
PH30978 2021-06-01 UI75643 SUBSYSTEM PARAMETER TO ENABLE INDEX IN-MEMORY OPTIMIZATION (FTB) FOR NON-UNIQUE INDEXES
PH34468 2021-04-20 UI75007 ABEND04E RC00C90101 AT DSNKTRAV ERQUAL5021 VIA FTB TRAVERSAL
PH34859 2021-05-05 UI75254 DB2 12 FOR Z/OS NEW FUNCTION FOR FTB (FAST TRAVERSE BLOCKS)
PH35596 2021-04-07 UI74814 INSERT SPLITTING PAGE INTO FTB LEAF NODE GOT DSNKFTIN:5002 ABEND BECAUSE OLD PAGE THAT CAUSE THE PAGE SPLIT WAT MISSING IN FTB.
PH36406 2021-05-07 UI75288 INSERT KEY INTO FTB PROCESS DETECTING INCONSISTENT STRUCTURE MODIFICATION NUMBER THEN GOT DSNKFTIN:5043 ABEND
PH36434 2021-05-13 UI75392 DB2 12 FOR Z/OS INTERNAL SERVICEABILITY UPDATE (Improve Create / Free FTB log recs)
PH36531 2021-05-13 UI75391 ABEND04E RC00C90101 AT DSNKINSN ERQUAL5009 AND DSNKFTIN ERQUAL5066 FOR FTB INSERT PLOCK FAILURE
PH36978 OPEN               FTB MESSAGE MSGDSNT351I ISSUED INCORRECTLY
PH38212 2021-07-07 UI76239 ABEND04E RC00C90101 AT DSNKFTBU ERQUAL5061 AND DSNK1CNE ERQUAL5006 DURING FTB CREATION
PH39105 OPEN               DB2 12 FTB INDEXTRAVERSECOUNT = 4294967295 FOR OBJECTS NOT ENABLED FOR FTB

FTB Monitor possibilities

Use of the -DISPLAY STATS command can show you what is going on in your system. Command format -DISPLAY STATS(INDEXMEMORYUSAGE), or the slightly easier to type -DISPLAY STATS(IMU) shows you the current indexes in the FTB and the memory allocated in message DSNT783I. The, newly delivered in APAR PH34859 PTF UI75254, variant -DISPLAY STATS(INDEXTRAVERSECOUNT) or the alias -DISPLAY STATS(ITC) gives you a list of traverse counts, in descending order, in message DSNT830I. You may filter this by using DBNAME, SPACENAM, or PART as in other commands.

IFICIDs as well?

Two new IFCIDS were created for FTBs:

• IFCID 389 is part of statistics trace class eight. It records all indexes that use fast index traversal in the system.

• IFCID 477 is part of performance trace class four and records the allocation and deallocation activities of FTBs for fast index traversal.

IFCID 2 (statistics record) got several new fields:

• Current threshold for FTB creation.
• Number of FTB candidates.
• Total size allocated for all FTBs.
• Number of FTBs currently allocated.
• Number of objects that meet the criteria for FTB creation.

FTB Limit possibilities

The big wrench is the ZPARM INDEX_MEMORY_CONTROL field with values AUTO, DISABLE, or nnnnnnn. Where AUTO sets the upper limit at 20% of allocated buffer space or 10MB (whichever is larger,) DISABLE turns off FTB completely and nnnnnn is the maximum number of megabytes to allocate for FTB storage in the range from 10 to 200,000. New in FL508 is the ZPARM FTB_NON_UNIQUE_INDEX with its default of NO to control whether or not duplicate indexes can be FTBed or not.

By the Index?

You can even micro-manage the FTBs, down to the individual index, by using catalog table SYSIBM.SYSINDEXCONTROL but I would not recommend doing that at all – that way lies madness.

Any plans for tonight?

Do any of you want to start using FTBs or indeed are you already using them? I would love to hear your positive, or negative, stories!

TTFN,

Roy Boxwell

Updates

Here I wish to keep any „new information and feedback“ that could be of interest.

First up is a positive update from one of my readers who said

„We had disabled FTB at IBM’s recommendation. About two months ago we turned it back on after I got information from John Campbell saying it was safe to turn it on. Since turning FTB back on we have had a very noticeable reduction in cpu usage. We are still at FL500 and have the zparm set to AUTO.“

Another reader is less impressed:

„Due to the number and frequency of PTFs for Fast Index Traversal our Db2 system DBAs have no plans to activate until it is more stable.  Just yesterday there was an All-Hands call where the upper echelon reiterated that the #1/2 priorities are Stable and Secure.   FIT is failing Stable.   Not a good showing by IBM on this significant performance feature.“

APAR List

• PH40269 2021-09-16 UI77189 ABEND04E RC00E72068 AT DSNXSRME OFFSET01024 DUE TO A TIMING WINDOW WHEN USING INDEX FAST TRAVERSE BLOCK (FTB)
• PH40273 2021-11-09 UI78000 IMPROVE PERFORMANCE OF FTB STORAGE POOL ADMF INDEX MANAGER CL20
• PH40539 2021-10-07 UI77500 FTB DEADLOCK OCCURS WITH SYSTEM ITASK – CORRID=014.IFTOMK01