Showing posts with label temporary. Show all posts
Showing posts with label temporary. Show all posts

Friday, March 30, 2012

Performance Tuning for Row-by-Row Update Statement

hi

For an unavoidable reason, I have to use row-by-row processing
(update) on a temporary table to update a history table every day.
I have around 60,000 records in temporary table and about 2 million in
the history table.

Could any one please suggest different methods to imporve the runtime
of the query?

Would highly appreciate!Is the row-by-row processing done in a cursor? Must you update exactly one
row at a time (if so, why?) or would it be acceptable to update 2,3 or 50
rows at a time?

You can use SET ROWCOUNT and a loop to fine-tune the batch size of rows to
be updated. Bigger batches should improve performance over updating single
rows.

SET ROWCOUNT 50

WHILE 1=1
BEGIN

UPDATE SomeTable
SET ...
WHERE /* row not already updated */

IF @.@.ROWCOUNT=0
BREAK

END

SET ROWCOUNT 0

--
David Portas
SQL Server MVP
--|||Is the row-by-row processing done in a cursor? Must you update exactly one
row at a time (if so, why?) or would it be acceptable to update 2,3 or 50
rows at a time?

You can use SET ROWCOUNT and a loop to fine-tune the batch size of rows to
be updated. Bigger batches should improve performance over updating single
rows.

SET ROWCOUNT 50

WHILE 1=1
BEGIN

UPDATE SomeTable
SET ...
WHERE /* row not already updated */

IF @.@.ROWCOUNT=0
BREAK

END

SET ROWCOUNT 0

--
David Portas
SQL Server MVP
--|||"Muzamil" <muzamil@.hotmail.com> wrote in message
news:5a998f78.0405211023.24b40513@.posting.google.c om...
> hi
> For an unavoidable reason, I have to use row-by-row processing
> (update) on a temporary table to update a history table every day.
> I have around 60,000 records in temporary table and about 2 million in
> the history table.

Not much you can do if you absolutely HAVE to do row-by-row updating.

You might want to post DDL, etc. so others can take a crack at it. I've
seen many times someone will say, "I have to use a cursor", "I have to
update one row at a time" and then someone posts a much better/faster
solution.

Also, how are you handling transactions? Explicitly or implicitely? If
you're doing them implicitely, are you wrapping each update in its own, or
can up batch say 20 updates?

Finally, where's your log files? Separate physical drives?

> Could any one please suggest different methods to imporve the runtime
> of the query?
> Would highly appreciate!|||Hi
Thanks for your reply.

The row-by-row update is mandatory becuase the leagacy system is
sending us the information such as "Add", "Modify" or "delete" and
this information HAS to be processed in the same order otherwise we'll
get the erroneous data.
I know it's a dumb way of doing things but this is what our and their
IT department has chosen to be correct way of action after several
meetings. Hence the batch idea will not work here.

I am not using Cursors, instead I am using the loop based on the
primary key.

The log files are on different drives.

I've also tried using "WITH (ROWLOCK)" in the update statement but
it's not helping much.

Can you please still throw in some idea? Would be great help!

Thanks

"Greg D. Moore \(Strider\)" <mooregr_deleteth1s@.greenms.com> wrote in message news:<tOxrc.234090$M3.65389@.twister.nyroc.rr.com>...
> "Muzamil" <muzamil@.hotmail.com> wrote in message
> news:5a998f78.0405211023.24b40513@.posting.google.c om...
> > hi
> > For an unavoidable reason, I have to use row-by-row processing
> > (update) on a temporary table to update a history table every day.
> > I have around 60,000 records in temporary table and about 2 million in
> > the history table.
> Not much you can do if you absolutely HAVE to do row-by-row updating.
> You might want to post DDL, etc. so others can take a crack at it. I've
> seen many times someone will say, "I have to use a cursor", "I have to
> update one row at a time" and then someone posts a much better/faster
> solution.
> Also, how are you handling transactions? Explicitly or implicitely? If
> you're doing them implicitely, are you wrapping each update in its own, or
> can up batch say 20 updates?
> Finally, where's your log files? Separate physical drives?
>
> > Could any one please suggest different methods to imporve the runtime
> > of the query?
> > Would highly appreciate!|||Muzamil (muzamil@.hotmail.com) writes:
> The row-by-row update is mandatory becuase the leagacy system is
> sending us the information such as "Add", "Modify" or "delete" and
> this information HAS to be processed in the same order otherwise we'll
> get the erroneous data.

Ouch. Life is cruel, sometimes.

I wonder what possibilities there could be to find parallel streams,
that is updates that could be performed independently. Maybe you
can modify 10 rows at a time then. But it does not sound like a very
easy thing to do.

Without knowing the details of the system, it is difficult to give
much advice. But any sort of pre-aggregation you can do, is probably
going to pay back.

--
Erland Sommarskog, SQL Server MVP, sommar@.algonet.se

Books Online for SQL Server SP3 at
http://www.microsoft.com/sql/techin.../2000/books.asp|||Details of the system:
The leagcy system sends us records flagged with "Add", "modify" or
"delete".
The purpose of these flags is self-explnatory. But the fun began when
we noticed that within same file , legacy system sends us "Add" and
then "Modify". Thus, we were left with no other option except to do
row-by-row processing.
We came up with the following logic:

a)If records StatusFlag is A' and records key does not exist in
DataWareHouse's Table, then the record is inserted into
DataWareHouse's Table.

b)If records StatusFlag is A', but records key exists in
DataWareHouse's Table, then the record is marked as invalid and will
be inserted into InvalidTable..

c)If records StatusFlag is M' and records key exists in
DataWareHouse's Table and record is active, then the corresponding
record in DataWareHouse's Table will be updated.

d)If records StatusFlag is M' and records key exists in
DataWareHouse's Table but record is inactive, then the record is
marked as invalid and will be inserted into InvalidTable.

e)If records StatusFlag is M' and records key does not exist in
DataWareHouse's Table, then the record is marked as invalid and will
be inserted into InvalidTable.

f)If records StatusFlag is D' and records key exists in
DataWareHouse's Table and record is active, then the corresponding
record in DataWareHouse's Table will be updated as inactive.

g)If records StatusFlag is D' and records key exists in
DataWareHouse's Table but record is inactive, then the record is
marked as invalid and will be inserted into InvalidTable.

h)If records StatusFlag is D' and records key does not exist in
DataWareHouse's Table, then the record is marked as invalid and will
be inserted into InvalidTable.

This logic takes care of ALL the anomalies we were facing before but
at the cost of long processing time.

I await your comments.

Thanks

Erland Sommarskog <sommar@.algonet.se> wrote in message news:<Xns94F53BF51111Yazorman@.127.0.0.1>...
> Muzamil (muzamil@.hotmail.com) writes:
> > The row-by-row update is mandatory becuase the leagacy system is
> > sending us the information such as "Add", "Modify" or "delete" and
> > this information HAS to be processed in the same order otherwise we'll
> > get the erroneous data.
> Ouch. Life is cruel, sometimes.
> I wonder what possibilities there could be to find parallel streams,
> that is updates that could be performed independently. Maybe you
> can modify 10 rows at a time then. But it does not sound like a very
> easy thing to do.
> Without knowing the details of the system, it is difficult to give
> much advice. But any sort of pre-aggregation you can do, is probably
> going to pay back.|||Muzamil (muzamil@.hotmail.com) writes:
> Details of the system:
> The leagcy system sends us records flagged with "Add", "modify" or
> "delete".
> The purpose of these flags is self-explnatory. But the fun began when
> we noticed that within same file , legacy system sends us "Add" and
> then "Modify". Thus, we were left with no other option except to do
> row-by-row processing.
> We came up with the following logic:

Hm, you might be missing a few cases. What if you get an Add, and record
exists in DW, but is marked inactive? With your current logic, the
input record moved to the Invalid table.

And could that feediug system be as weird as to send Add, Modify, Delete,
and Add again? Well, for a robust solution this is what we should assume.

It's a tricky problem, and I was about to defer the problem, when I
recalled a solution that colleague did for one of our stored procedures.
The secret word for tonight is bucketing! Assuming that there are
only a couple of input records for each key value, this should be
an excellent solution. You create buckets, so that each bucket has
at most one row per key value. Here is an example on how to do it:

UPDATE inputtbl
SET bucket = (SELECT count(*)
FROM inputtbl b
WHERE a.keyval = b.keyval
AND a.rownumber < b.rownumber) + 1
FROM inputtbl a

input.keyval is the keys for the records in the DW table. Rownumber
is a column which as describes the processing order. I assume that
you have such a column.

So now you can iterate over the buckets, and for each bucket, you can do
set- based processing. You still have to iterate, but instead over 60000
rows, only over a couple of buckets.

--
Erland Sommarskog, SQL Server MVP, sommar@.algonet.se

Books Online for SQL Server SP3 at
http://www.microsoft.com/sql/techin.../2000/books.asp|||I think I was not articulate enough to convey the logic properly.
Anyways, thanks to everyone for your help.
By using the ROWLOCK and proper indexes, I was ale to reduce the time considerably.

Erland Sommarskog <sommar@.algonet.se> wrote in message news:<Xns94F6821D6ABYazorman@.127.0.0.1>...
> Muzamil (muzamil@.hotmail.com) writes:
> > Details of the system:
> > The leagcy system sends us records flagged with "Add", "modify" or
> > "delete".
> > The purpose of these flags is self-explnatory. But the fun began when
> > we noticed that within same file , legacy system sends us "Add" and
> > then "Modify". Thus, we were left with no other option except to do
> > row-by-row processing.
> > We came up with the following logic:
> Hm, you might be missing a few cases. What if you get an Add, and record
> exists in DW, but is marked inactive? With your current logic, the
> input record moved to the Invalid table.
> And could that feediug system be as weird as to send Add, Modify, Delete,
> and Add again? Well, for a robust solution this is what we should assume.
> It's a tricky problem, and I was about to defer the problem, when I
> recalled a solution that colleague did for one of our stored procedures.
> The secret word for tonight is bucketing! Assuming that there are
> only a couple of input records for each key value, this should be
> an excellent solution. You create buckets, so that each bucket has
> at most one row per key value. Here is an example on how to do it:
> UPDATE inputtbl
> SET bucket = (SELECT count(*)
> FROM inputtbl b
> WHERE a.keyval = b.keyval
> AND a.rownumber < b.rownumber) + 1
> FROM inputtbl a
> input.keyval is the keys for the records in the DW table. Rownumber
> is a column which as describes the processing order. I assume that
> you have such a column.
> So now you can iterate over the buckets, and for each bucket, you can do
> set- based processing. You still have to iterate, but instead over 60000
> rows, only over a couple of buckets.|||Muzamil (muzamil@.hotmail.com) writes:
> I think I was not articulate enough to convey the logic properly.
> Anyways, thanks to everyone for your help. By using the ROWLOCK and
> proper indexes, I was ale to reduce the time considerably.

Good indexes is always useful, and of course for iterative processing
it is even more imperative, since the cost a less-than-optimal plan
is multiplied.

I'm just curious, would my bucketing idea be applicable to your problem?
It should give you even more speed, but if you have good-ebough now, there
is of course no reason to spend more time on it.

--
Erland Sommarskog, SQL Server MVP, sommar@.algonet.se

Books Online for SQL Server SP3 at
http://www.microsoft.com/sql/techin.../2000/books.asp

Wednesday, March 28, 2012

performance Questions - Temp Databases

We have some internal applications that rely heavily on using temporary
databases with a lot of data. I have noticed that when these applications
run, they seem to starve the system of RAM. This is indicated by an
increase in the RAM used by the SQL process and a heavy amount of disk I/O.
My assumption is that when the temp db's are created, SQL tries to get as
much RAM from the OS as possible which creates swapping non-SQL memory to
the pagefile and SQL internally needs to free RAM and thus needs to write
cached data out to disk.
Questions:
1) Are my assumptions correct in the usage of the temp databases?
2) Are there any workarounds to this?
3) Since SQL optimizes RAM over time, I would guess that no matter what we
do, SQL will always fill up its internal RAM with cached data, thus adding
more RAM to the system won't resolve these symptoms, it will merely delay
them by taking more time to cache all the RAM. (Our applications are
already filling up SQL with 2 GB of RAM. I suspect moving to 4GB will not
have a significant improvement due to the memory address extensions. 64 bit
SQL would probably be our only solution to flood the system with enough RAM
that our apps can't fill up SQL's internal RAM usage, but 64 bit SQL and
enough RAM in a system for this would be significanlty expensive for our
needs.)
Thank You,Kevin,
What do you mean by Temp databases? Are you creating databases and then
dropping them? Or do you mean temporary tables being created in the tempdb
database? If you only have 2GB of ram and your using it all I would
suggest you set your max memory setting in sql server to around 1.5GB to
allow the OS and memtoleave areas some slack. If you are memory constrained
and it sounds like you are, then going to 4GB can make a huge difference.
You can set the /3gb switch to allow sql server use of up to 3GB and leave
1GB for the OS. This should alleviate most of the OS paging and sql server
can use it's caching mechanisims as designed without dealing with the OS
swap file.
--
Andrew J. Kelly SQL MVP
"Kevin Hammond" <kghammond@.nrscorp.com> wrote in message
news:c5jhcm$42i$1@.grandcanyon.binc.net...
> We have some internal applications that rely heavily on using temporary
> databases with a lot of data. I have noticed that when these applications
> run, they seem to starve the system of RAM. This is indicated by an
> increase in the RAM used by the SQL process and a heavy amount of disk
I/O.
> My assumption is that when the temp db's are created, SQL tries to get as
> much RAM from the OS as possible which creates swapping non-SQL memory to
> the pagefile and SQL internally needs to free RAM and thus needs to write
> cached data out to disk.
> Questions:
> 1) Are my assumptions correct in the usage of the temp databases?
> 2) Are there any workarounds to this?
> 3) Since SQL optimizes RAM over time, I would guess that no matter what
we
> do, SQL will always fill up its internal RAM with cached data, thus adding
> more RAM to the system won't resolve these symptoms, it will merely delay
> them by taking more time to cache all the RAM. (Our applications are
> already filling up SQL with 2 GB of RAM. I suspect moving to 4GB will not
> have a significant improvement due to the memory address extensions. 64
bit
> SQL would probably be our only solution to flood the system with enough
RAM
> that our apps can't fill up SQL's internal RAM usage, but 64 bit SQL and
> enough RAM in a system for this would be significanlty expensive for our
> needs.)
>
> Thank You,
>|||Yes I was referring to creating databases then dropping them. In one
particular application, a lot of the stored procedures are running
algorithms that do this.
Thank You for the feedback. Now that we have a monitoring system in place,
I will experiment with restricting SQL to 1.5 GB or so and monitor memory
swapping and related disk I/O.
"Andrew J. Kelly" <sqlmvpnoooospam@.shadhawk.com> wrote in message
news:OzqSg7oIEHA.3276@.TK2MSFTNGP09.phx.gbl...
> Kevin,
> What do you mean by Temp databases? Are you creating databases and then
> dropping them? Or do you mean temporary tables being created in the
tempdb
> database? If you only have 2GB of ram and your using it all I would
> suggest you set your max memory setting in sql server to around 1.5GB to
> allow the OS and memtoleave areas some slack. If you are memory
constrained
> and it sounds like you are, then going to 4GB can make a huge difference.
> You can set the /3gb switch to allow sql server use of up to 3GB and leave
> 1GB for the OS. This should alleviate most of the OS paging and sql
server
> can use it's caching mechanisims as designed without dealing with the OS
> swap file.
> --
> Andrew J. Kelly SQL MVP
>
> "Kevin Hammond" <kghammond@.nrscorp.com> wrote in message
> news:c5jhcm$42i$1@.grandcanyon.binc.net...
> > We have some internal applications that rely heavily on using temporary
> > databases with a lot of data. I have noticed that when these
applications
> > run, they seem to starve the system of RAM. This is indicated by an
> > increase in the RAM used by the SQL process and a heavy amount of disk
> I/O.
> > My assumption is that when the temp db's are created, SQL tries to get
as
> > much RAM from the OS as possible which creates swapping non-SQL memory
to
> > the pagefile and SQL internally needs to free RAM and thus needs to
write
> > cached data out to disk.
> >
> > Questions:
> > 1) Are my assumptions correct in the usage of the temp databases?
> > 2) Are there any workarounds to this?
> > 3) Since SQL optimizes RAM over time, I would guess that no matter what
> we
> > do, SQL will always fill up its internal RAM with cached data, thus
adding
> > more RAM to the system won't resolve these symptoms, it will merely
delay
> > them by taking more time to cache all the RAM. (Our applications are
> > already filling up SQL with 2 GB of RAM. I suspect moving to 4GB will
not
> > have a significant improvement due to the memory address extensions. 64
> bit
> > SQL would probably be our only solution to flood the system with enough
> RAM
> > that our apps can't fill up SQL's internal RAM usage, but 64 bit SQL and
> > enough RAM in a system for this would be significanlty expensive for our
> > needs.)
> >
> >
> > Thank You,
> >
> >
>sql