In article <[email protected]> you wrote:
> One would expect reads to be faster with ZFS because of the caching but 
> what astonished me was the efficiency of writes. Writes to a ZFS file 
> system were well over 10x faster than QSAM. I profiled the
> tests and QSAM spent most of it's time waiting for I/O to complete. BSAM 
> was worse. Maybe if we had z/HFP it would be different.

> FWIW, I ported SQLite3 to z/OS a couple of years back. It was 
> significantly faster than DB2 in just about every benchmark I ran, 
> probably for the same reasons you mentioned.
> Of course, it won't scale or handle concurrent access anywhere close to 
> DB2 can but as a replacement for file I/O with heaps of value add 
> (embedded, ACID) it's very nice indeed.


> BTW, is the reason FBS is fast for seeks because it makes it easier to 
> calculate the track position for a POINT? I've never seen FBS used before.

I don't know what IBM uses under the covers, but it's probably the same
thing that SAS/C did. Calculate the CCHHR from the byte offset and use
EXCP to read the block directly. No need to use POINT. FBS is guaranteed 
not to have any short blocks, so the calculation is trivial.


> On 5/06/2013 1:24 PM, Bernd Oppolzer wrote:
> > Yes, I guess, that the freads on ZFS will be faster, but:
> >
> > - the customer wants the files to be classical z/OS data sets, and
> >
> > - because of the cache (least recently used algoritm), the I/O delays
> > are of no real concern any more - the elapsed time is much better than
> > in the DB2 case, anyway.
> >
> > But: we observed that RECFM=FBS is needed; otherwise the fseek
> > calls are very slow (the tables have indexes which are B*-tree structures
> > and operate based on record numbers, so an efficient fseek call is 
> > needed).
> >
> > Kind regards
> >
> > Bernd
> >
> >
> >
> > Am 05.06.2013 04:01, schrieb David Crayford:
> >> Did you try using a ZFS file system? On my system freads()/fwrites() 
> >> to a unix file are significantly faster than QSAM/BSAM.
> >>
> >> On 5/06/2013 9:33 AM, Bernd Oppolzer wrote:
> >>> Two weeks ago, I told you about tests with our table system,
> >>> which holds read-only data for our insurance math package.
> >>>
> >>> The data was stored in DB2 tables until now, and we tried to get better
> >>> CPU usage etc. by moving the data to our file based table system, which
> >>> we have in the Windows and Unix environments.
> >>>
> >>> First tests showed a reduction in CPU time, but an increased elapsed 
> >>> time,
> >>> due to I/O waits during fseek / fread calls. See below.
> >>>
> >>> Now we examined this more deeply, and, as it turned out, the main 
> >>> storage
> >>> cache simply didn't work due to configuration errors. This was the 
> >>> reason for
> >>> the many file I/Os that occured and for the massive I/O waits.
> >>>
> >>> We fixed this, and we set the cache size to 9 MB (the table sizes 
> >>> are some
> >>> hundred MB). Furthermore, the file attribute have to be RECFM = FBS,
> >>> to support the fseek operations in an optimal way.
> >>>
> >>> Doing this, we got the following results:
> >>>
> >>> CPU time and elapsed time is reduced to about 50 % of the original 
> >>> value;
> >>> and that is not only the time for the table access, but for the 
> >>> whole computation !!
> >>>
> >>> That means, that the reduction in table access times must me still 
> >>> much higher.
> >>>
> >>> This can be explained by the following things:
> >>>
> >>> a) because the table system and the cache is in the same address 
> >>> space as
> >>> the application, we have no address space switching traffic, as we 
> >>> have with
> >>> the DB2 solution
> >>>
> >>> b) DB2 is used by other requesters, too
> >>>
> >>> c) because the tables are read-only, the table system does nothing with
> >>> respect to transaction control etc, no locking and logging, which makes
> >>> it faster than DB2
> >>>
> >>> Of course, the drawback is:
> >>>
> >>> you have to spend 9 MB cache storage more in every region where the 
> >>> application
> >>> runs. But that's so little, that overall system control has no 
> >>> problem with it.
> >>>
> >>> We do a mass test tomorrow to check out the behaviour of the system, 
> >>> if there
> >>> are many computations in a large number of parallel jobs. If the 
> >>> results are the same,
> >>> we will migrate the system to the file based solution in the near 
> >>> future.
> >>>
> >>> Kind regards
> >>>
> >>> Bernd

-- 
Don Poitras - SAS Development  -  SAS Institute Inc. - SAS Campus Drive
[email protected]           (919) 531-5637                Cary, NC 27513

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