Script Executes Ok But No Results

Apr 2, 2014

I am trying to bulk map products to a catergoryID table. Each product has a SKU code and then is mapped to a CategoryID table. The script executes fine but when I look the products are not mapped.

create table tmp_products (ProductID int, SKU nvarchar(100) collate SQL_Latin1_General_CP1_CI_AS, CategoryID int)

insert into tmp_products (SKU, CategoryID) values ('CLFLNW1',1252)
insert into tmp_products (SKU, CategoryID) values ('CLFROCR013',1252)
insert into tmp_products (SKU, CategoryID) values ('GBLGOKOM',1252)
insert into tmp_products (SKU, CategoryID) values ('HS008714',1252)
insert into tmp_products (SKU, CategoryID) values ('HS014928',1252)

[Code] .....

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Mar 10, 2006

Hi!



I have 2 DBs.

DB1
MID
event
date

DB2
MID
event
date
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DB1 contains a log of multiple events for each record while DB2 contains the latest log for the record. I have a trigger(trigger1) in DB1 that automatically updates/inserts the log in DB2 depending on whether the record already exists in DB2.

I also have another trigger that checks for a specific value in the 'tag' field.

I used to set this trigger(trigger2) up in DB2 but it was executed twice. The first one when trigger1 inserts/updates a DB2 record and the second one when trigger2 updates DB2. So instead of having only a value of 1 in tag, I get a 2.

So what I did is I moved trigger2 to DB1. My only problem is I don't know which trigger get executed first.

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SELECT
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Trigger:SnapshotUpdated

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6/1/2006 7:00:03 AM



6/1/2006 8:26:31 AM



7/1/2006 7:00:07 AM



8/1/2006 7:00:24 AM



9/1/2006 7:00:19 AM




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Portion of log file:
ReportingServicesService!dbpolling!f!9/1/2006-07:00:04:: EventPolling processing item e869f577-b189-4e6a-a9be-37b61d737340
ReportingServicesService!dbpolling!13!9/1/2006-07:00:04:: EventPolling processing item 2b275311-0ee4-4cef-972d-86de48f4f360
ReportingServicesService!dbpolling!c!9/1/2006-07:00:04:: EventPolling processing item 3df3960a-ee28-4d5e-a46e-326ab5a0060d
ReportingServicesService!library!c!9/1/2006-07:00:04:: Schedule e11a00d3-56b6-46b3-b2d3-9e3156805be8 executed at 9/1/2006 7:00:04 AM.
ReportingServicesService!library!13!9/1/2006-07:00:04:: Schedule 177e9473-2c81-4152-a89f-137d25a556e1 executed at 9/1/2006 7:00:04 AM.
ReportingServicesService!library!4!9/1/2006-07:00:04:: Schedule 89071f26-435c-4cc7-bd9a-23907ef32b5c executed at 9/1/2006 7:00:04 AM.
ReportingServicesService!library!f!9/1/2006-07:00:04:: Schedule 3720d20c-460e-4549-9b57-c3cc97919f5f executed at 9/1/2006 7:00:04 AM.
ReportingServicesService!schedule!13!9/1/2006-07:00:04:: Updating report execution snapshot for report /Client Services/Ops Specialists/1035 Exchange Issue - Details (200407-R01)
ReportingServicesService!schedule!c!9/1/2006-07:00:04:: Updating report execution snapshot for report /Client Services/Ops Specialists/1035 Exchange Bridged - Details (200407-R01)
ReportingServicesService!schedule!f!9/1/2006-07:00:04:: Updating report execution snapshot for report /Client Services/Ops Specialists/Policy Counts (200401-R01)
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All-
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I apologize for the long post but I am trying to give as much information as I can about the steps I've taken to troubleshoot this.


We have a stored procedure that builds a sql statement and executes it using the Execute command. When I execute the stored procedure through query analyzer it takes close to 5 seconds to execute. When I print out the exact same statement and execute it directly in query analyzer as "raw sql", it takes 0.5 seconds - meaning it takes 10 times longer for the code to execute in the stored proc. I altered the stored proc to execute the printed sql instead of building but it still takes the full 5 seconds and there were no changes in the execution plan. This makes me confident that the issue is not caused by the dynamic sql. I've used with recompile to make sure that the stored procedure caches the most recent execution plan. When I compare the execution plans, the stored proc uses a nested loop whereas the raw sql statement uses a hash join. Seeing that, I added the hash hint to the stored proc and doing so brought down the execution time down from 5 secs to 2 secs but still the raw sql statement uses a clustered index whereas the stored proc uses a non-clustered index and that makes the statement 4 times slower. This proves how efficient clustered indexes are over non-clustered ones, but it doesn't help me since, as far as I know, I can't force SQL Server to use the clustered index.


Does anyone know why sql server is generating such an inefficient execution plan for the stored proc compared to the execution plan that it generates when executing the raw sql statement? The only thing I can think of is that some stats are not updated and that somehow throws off the stored proc. But then again, shouldn't it affect the raw sql statement?


Thank you,


Michael Tzoanos

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