Loop In Select Lookup Statement

Apr 19, 2005

Hello All,

Below is a simple Select statement performing a Lookup into a SQL database and returning the columns (associated with the Row) in to Cells on an eForm. The issue I have is there are 42 rows (which go up and down) and do not feel like writing 42 select statements.

select RiskDescriptor, RiskImpactLowDescriptor, RiskImpactMediumDescriptor, RiskImpactHighDescriptor
from [Risk Descriptors]
where [RiskDescriptor ID] in (1)
order by [RiskDescriptor ID];
<<1@Cell104>>
<<2@Cell105>>
<<3@Cell106>>
<<4@Cell107>>


I would like to add a loop, adding 1 to the RiskDescriptor ID and 4 to the Cells. So on second pass in the loop:
RiskDescriptor ID = 2
<<1@Cell108>>
<<2@Cell109>>
<<3@Cell110>>
<<4@Cell111>>

Third pass in the loop:
RiskDescriptor ID = 3
<<1@Cell112>>
<<2@Cell113>>
<<3@Cell114>>
<<4@Cell115>>
and so on.

The Until portion of the loop can be hardcode (42 in this example) but would rather use an EOL or Query the DB for the total number of RiskDescriptor ID. This way when the DB changes (ID's go up or down) the SQL Statement does not need to be notified.

It is a JDBC call from within the eForm.

I would appreciate any help on how to format a loop in a SQL Statement

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Jul 4, 2012

What I wanted to do is I want to loop through each select result and at the same time use the result to do something while in a loop.

While (select field1,field2,field3 from table 1)
BEGIN
select count(*) as field4 from table1 where field1(current_record)>3
update table1 set field2(current_record)=field4
END

something like that...How do I do this?

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Oct 20, 2007

I am using the lookup transform with the following settings:

Reference table: Use results of an SQL query. The query retrieves the surrogate key and four business key columns from a dimension table which contains a few thousand rows.

Columns: business keys in the incoming data are mapped to the business keys in the reference table, and the surrogate key is looked up from the reference table.

Advanced: Enable memory restriction is OFF (and the other items on the Advanced tab are greyed out).

I assumed that this means that the lookup transform would cache all of the rows in the SQL query, and then perform the lookups against this cache. This is the behaviour that I saw when I was running the package in my local environment in the BIDS debugger.


However, a colleague was doing some profiling on our production database server, and noticed that the lookup transform is instead issuing a single SQL query for each row of input. Our production ETL server has many GBs of free RAM available (way more than enough to cache the contents of the lookup table in memory), and given that memory restriction is disabled, I don't understand why the lookup transform is behaving in this fashion. Does anyone have an explanation for this? I'm probably misunderstanding a key concept here.

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Apr 24, 2007

What I'm trying to do is this;

I have a table with Year , Account and Amount as fields. I want to



SELECT Year, Account, sum(Amount) AS Amt

FROM GLTable

WHERE Year <= varYear



varYear being a variable which is each year from a query



SELECT Distinct Year FROM GLTable



My thought was that I would need to pass a variable into a select statement which then would be used as the source in my Data Flow Task.



What I have done is to defined two variables as follows

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Scope: Package

Data type: String



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Scope: Package

Data type: String

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I've created a SQL Task as follows

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Connection Type: OLE DB

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Result Name: 0

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I'm not sure what is wrong or if this is the right way to accomplish what I am trying to do. I got this from another thread "Passing Variables" started 15 Nov 2005.



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Regards,

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Apr 21, 2006



Hi there,

I'm trying to modify the SQL statement of a Lookup Transformation.

In my DataSet I have 2 columns A, B - I join against a table on columns A and B by

But I only want to match on column B - where column A doesn't match. (I'm looking for duplicate values of B)

So I've tried modifying the SQL statement to:

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I'm I on the right track here?



Cheers,

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Oct 8, 2007

Hi all,


I recieve an error when I use the Lookup component in SSIS that reads:

Statement(s) could not be prepared.



I'm using a SQL 2005 DB as the source which runs into a lookup table and is use to compare records with an SQL 2000 Database. I've created connection managers successfully to both these databases. When trying to use the results of an SQL Query for the lookup to the SQL 2000 database (which is a linked server) and I try to map the columns, the error pops up and exits out of the lookup properties Window

The details to the error read:

Program Location:
at Microsoft.SqlServer.Dts.Tasks.ExecuteSQLTask.Connections.SQLTaskConnectionOleDbClass.PrepareSQLStatement(String sql, Boolean bypassPrepare)
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Hi guys,

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Hi

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I have created some sample data that can be used. I think i have an idea of how to do it, but i'm not totally sure if it will work that way, i have however included it in the sample data.





Code Snippet
DECLARE @ImportedStagingData TABLE
(
ID INT IDENTITY(1,1),
Name VARCHAR(50),
Surname VARCHAR(50),
Email VARCHAR(50),
[Chronic Heart Failure] INT,
[Colon Cancer] INT
)
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INSERT INTO @ImportedStagingData VALUES ('Sarah', 'Bolls', 'SarahB@Email.com', 0,1)
INSERT INTO @ImportedStagingData VALUES ('Bells', 'Scotch', 'BellsS@Email.com', 1,1)
INSERT INTO @ImportedStagingData VALUES ('Stroh', 'Rum', 'StrohR@Email.com', 0,0)
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(
ID INT IDENTITY(1,1),
Condition VARCHAR(50)
)
INSERT INTO @Conditions VALUES ('Chronic Heart Failure')
INSERT INTO @Conditions VALUES ('Colon Cancer')
DECLARE @Members TABLE
(
MemberID INT IDENTITY(1,1),
Name VARCHAR(50),
Surname VARCHAR(50),
Email VARCHAR(50)
)
DECLARE @memConditions TABLE
(
MemberID INT,
ConditionID INT
)
SELECT * FROM @ImportedStagingData
SELECT * FROM @Conditions
SELECT * FROM @Members
SELECT * FROM @memConditions
/* --- This is the part that i am battling with ---
DECLARE @CurrentValue INT
DECLARE @numValues INT
SET @numValues = (SELECT COUNT(ID) FROM @ImportedStagingData)
WHILE @numValues <> 0
BEGIN
INSERT INTO @Members
SELECT Name, surname, email
FROM @ImportedStagingData
GO
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INSERT INTO @memConditions (MemberID), (ConditionID)
VALUES (@CurrentValue, --ConditionValue from @ImportedStagingData, all the values that have a 1)

@numValues = @numValues - 1
END
END
*/






All help will be greatly appreciated.

Kind Regards
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-----------
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53597

sh_serial
-----------
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53597

sh_serial
-----------

sh_serial
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-----------
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53597
53565

Syntax:

declare @start int
select @start = 580
declare @stop int
select @stop = 900

while @start <= @stop
begin
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Oct 31, 2007

We did some "at scale" fuzzy lookup tests today and were rather disappointed with the performance. I'm wanting to know your experience so I can set my performance expectations appropriately.

We were doing a fuzzy lookup against a lookup table with 25 million rows. Each row has 11 columns used in the fuzzy lookup, each between 10-100 chars. We set CopyReferenceTable=0 and MatchIndexOptions=GenerateAndPersistNewIndex and WarmCaches=true. It took about 60 minutes to build that index table, during which, dtexec got up to 4.5GB memory usage. (Is there a way to tell what % of the index table got cached in memory? Memory kept rising as each "Finished building X% of fuzzy index" progress event scrolled by all the way up to 100% progress when it peaked at 4.5GB.) The MaxMemoryUsage setting we left blank so it would use as much as possible on this 64-bit box with 16GB of memory (but only about 4GB was available for SSIS).

After it got done building the index table, it started flowing data through the pipeline. We saw the first buffer of ~9,000 rows get passed from the source to the fuzzy lookup transform. Six hours later it had not finished doing the fuzzy lookup on that first buffer!!! Running profiler showed us it was firing off lots of singelton SQL queries doing lookups as expected. So it was making progress, just very, very slowly.

We had set MinSimilarity=0.45 and Exhaustive=False. Those seemed to be reasonable settings for smaller datasets.

Does that performance seem inline with expectations? Any thoughts to improve performance?

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Fuzzy Lookup Error When Adding Additional Lookup Columns

Sep 26, 2007

I'm working with an existing package that uses the fuzzy lookup transform. The package is currently working; however, I need to add some columns to the lookup columns from the reference table that is being used.

It seems that I am hitting a memory threshold of some sort, as when I add 3 or 4 columns, the package works, but when I add 5 columns, the fuzzy lookup transform fails pre-execute:

Pre-Execute
Taking a snapshot of the reference table
Taking a snapshot of the reference table
Building Fuzzy Match Index
component "Fuzzy Lookup Existing Member" (8351) failed the pre-execute phase and returned error code 0x8007007A.

These errors occur regardless of what columns I am attempting to add to the lookup list.

I have tried setting the MaxMemoryUsage custom property of the transform to 0, and to explicit values that should be much more than enough to hold the fuzzy match index (the reference table is only about 3000 rows, and the entire table is stored in less than 2MB of disk space.

Any ideas on what else could be causing this?

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