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No, we are not qualifying but we are talking database field names here.
CUSTOMER_FACILITY_SUBSCRIBER_ID vs CFSID and we are not talking small
performance differences. Big differences.



On Mon, Dec 28, 2015 at 9:00 AM, Luis Rodriguez <luisro58@xxxxxxxxx> wrote:

Hi Alan,

As per the DB2 (7.1) DB Performance and Query optimization manual:







*Long object names are converted internally to system object names when
used in SQL statements. Thisconversion can have some performance
impacts.Qualify the long object name with a library name, and the
conversion to the short name happens atprecompile time. In this case, there
is no performance impact when the statement is executed. Otherwise,the
conversion is done at execution time, and has a small performance impact*
Are you qualifying your table names?

Regards,

Luis

Luis Rodriguez

--


On Mon, Dec 28, 2015 at 12:12 PM, Alan Campin <alan0307d@xxxxxxxxx> wrote:

We are doing data conversion of large amount of data and we are seeing
very
interesting behavior if we are using long names when we do the writes.

All the tables are defined using DDL using both long names and short. If
we
write to the tables using long names we see CPU shot straight up and
running iDoctor reveals that each write seems to be making function calls
to an internal system API that translates the long name to the short.

It would make sense to me that it would do this once but for every
records?

To wirte 50,000 records using long names takes 8 seconds and 2 seconds
using short names. We have a very big machine.

Turn on Job Watcher and looked at CPU consumption. Huge spike straight
up,
straight across and down for long names. Doesn’t even register for short
names.


Anybody else run into this?

We are V7R2.
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