Defining SQL Command

I am trying to learn more about the Defining SQL Command in the Database Expert.
I understand from what I've read that it can be used to create a virtual table that can provide access to a smaller number of fields and records than the entire database, so that accessing the data is quicker. Also, if you need this data structure across reports, you can save the command to the Repository.
I understand that such a virtual table would be helpful with a large database having a lot of fields. It would reduce the number of fields in Field Explorer, which would make designing a report easier.
I don't understand why it would be necessary to parcel out certain records, though. Doesn't the Record Selection Formula do the same thing -- it only pulls into the report those records that are needed? If someone could explain this further, I'd appreciate it.
Are there other benefits (or disadvantages) of the SQL Command functionality that I'm missing?
If there are any readings out there that discuss the SQL Command in Crystal, I'd appreciate the reference.
Thanks.
Gary

When designing a Crystal Report using the tables directly, and there is a Record Selection formula, Crystal can (sometimes) push the record selection to the database. When the report is based on an SQL Command, Crystal can't to that (I don't think).
By adding record selection to the SQL Command, the number of records fed back to Crystal will be reduced to only those necessary, whereas if you put the selection in the Record Selection formula all of the data will be fed to Crystal, which will then have to sift through it all to select the records to report. On huge files, that can really hurt performance.
Another huge benefit of using the SQL Command is with data aggregation. If you are writing a summary report and let the database do the summing, it will return far fewer records to Crystal (can be many orders of magnitude depending on the data and aggregation level) and Crystal won't have to do the aggregation.
Table joins are also almost always quicker in a database than what Crystal can do (depending on database design).
IMHO, I would base (virtually) all of my reports on an SQL command that does all of the data manipulation required by the report, returning only the data required for Crystal to format and display. (I know there are arguments not to do this - some with great merit - but generally speaking I believe this to be the best performance-wise.) After all, that's what databases are built to do!
HTH,
Carl

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Dom,
I assume that the last edit was to remove a few curse words...
The reality is that we can give a good explanation as to why the sub-report version would execute faster that the command version w/o seeing the report (with the sub-reports included).
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The only thing that I can think of, and this is just a guess... With the sub-report version, each all queries are being run independently and then combined locally by CR, whereas the command version, everything is combined. The more complex the query, the harder the optimizer has to work to come up with the best execution plan... and the greater the likelihood that that the resulting plan isn't as optimized as it could be.
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Give this version of your SQL a test drive and see if it yields an improvement.
SELECT
PROJECT.PROJECTID,
PROJECT.TITLE,
PROJECT.REFERENCE,
PROJECTSTATUS.PROJECTSTATUS,
PROJECT.INPUT_DATE,
VPN.LastHeadline,
ISSUE.LastNewIssue,
ISSUE_NOTE.LastIssueNote,
VPR.LastRiskLogUpdate,
PC.LastChecklistUpdate,
VPA.LastGANTTUpdate,
V_PROJECT_KEYCONTACT.USERNAME AS KeyContact,
Supervisor.Supervisor
FROM PROJECT
INNER JOIN PROJECTSTATUS ON PROJECT.PROJECTSTATUSID = PROJECTSTATUS.PROJECTSTATUSID
LEFT OUTER JOIN V_PROJECT_KEYCONTACT ON PROJECT.PROJECTID = V_PROJECT_KEYCONTACT.PROJECTID
LEFT OUTER JOIN (
     SELECT PROJECTID,
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     FROM V_PROJECT_NOTE
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LEFT OUTER JOIN (
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AND ((PROJECT.TITLE NOT LIKE 'xxx%')
AND (PROJECT.TITLE NOT LIKE 'yyy%')
AND (PROJECT.TITLE NOT LIKE 'zzz%'))
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HTH,
Jason

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hi Teena,
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Message was edited by: Jamie Wiseman

Defining SQL Command

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