I posted a query yesterday (see here) that was horrible (took over a minute to run, resulting in 18,215 records):
SELECT DISTINCT
dbo.contacts_link_emails.Email, dbo.contacts.ContactID, dbo.contacts.First AS ContactFirstName, dbo.contacts.Last AS ContactLastName, dbo.contacts.InstitutionID,
dbo.institutionswithzipcodesadditional.CountyID, dbo.institutionswithzipcodesadditional.StateID, dbo.institutionswithzipcodesadditional.DistrictID
FROM
dbo.contacts_def_jobfunctions AS contacts_def_jobfunctions_3
INNER JOIN
dbo.contacts
INNER JOIN
dbo.contacts_link_emails
ON dbo.contacts.ContactID = dbo.contacts_link_emails.ContactID
ON contacts_def_jobfunctions_3.JobID = dbo.contacts.JobTitle
INNER JOIN
dbo.institutionswithzipcodesadditional
ON dbo.contacts.InstitutionID = dbo.institutionswithzipcodesadditional.InstitutionID
LEFT OUTER JOIN
dbo.contacts_def_jobfunctions
INNER JOIN
dbo.contacts_link_jobfunctions
ON dbo.contacts_def_jobfunctions.JobID = dbo.contacts_link_jobfunctions.JobID
ON dbo.contacts.ContactID = dbo.contacts_link_jobfunctions.ContactID
WHERE
(dbo.contacts.JobTitle IN
(SELECT JobID
FROM dbo.contacts_def_jobfunctions AS contacts_def_jobfunctions_1
WHERE (ParentJobID <> '1841')))
AND
(dbo.contacts_link_emails.Email NOT IN
(SELECT EmailAddress
FROM dbo.newsletterremovelist))
OR
(dbo.contacts_link_jobfunctions.JobID IN
(SELECT JobID
FROM dbo.contacts_def_jobfunctions AS contacts_def_jobfunctions_2
WHERE (ParentJobID <> '1841')))
AND
(dbo.contacts_link_emails.Email NOT IN
(SELECT EmailAddress
FROM dbo.newsletterremovelist AS newsletterremovelist))
ORDER BY EMAIL
With a lot of coaching and research, I’ve tuned it up to the following:
SELECT contacts.ContactID,
contacts.InstitutionID,
contacts.First,
contacts.Last,
institutionswithzipcodesadditional.CountyID,
institutionswithzipcodesadditional.StateID,
institutionswithzipcodesadditional.DistrictID
FROM contacts
INNER JOIN contacts_link_emails ON
contacts.ContactID = contacts_link_emails.ContactID
INNER JOIN institutionswithzipcodesadditional ON
contacts.InstitutionID = institutionswithzipcodesadditional.InstitutionID
WHERE
(contacts.ContactID IN
(SELECT contacts_2.ContactID
FROM contacts AS contacts_2
INNER JOIN contacts_link_emails AS contacts_link_emails_2 ON
contacts_2.ContactID = contacts_link_emails_2.ContactID
LEFT OUTER JOIN contacts_def_jobfunctions ON
contacts_2.JobTitle = contacts_def_jobfunctions.JobID
RIGHT OUTER JOIN newsletterremovelist ON
contacts_link_emails_2.Email = newsletterremovelist.EmailAddress
WHERE (contacts_def_jobfunctions.ParentJobID <> 1841)
GROUP BY contacts_2.ContactID
UNION
SELECT contacts_1.ContactID
FROM contacts_link_jobfunctions
INNER JOIN contacts_def_jobfunctions AS contacts_def_jobfunctions_1 ON
contacts_link_jobfunctions.JobID = contacts_def_jobfunctions_1.JobID
AND contacts_def_jobfunctions_1.ParentJobID <> 1841
INNER JOIN contacts AS contacts_1 ON
contacts_link_jobfunctions.ContactID = contacts_1.ContactID
INNER JOIN contacts_link_emails AS contacts_link_emails_1 ON
contacts_link_emails_1.ContactID = contacts_1.ContactID
LEFT OUTER JOIN newsletterremovelist AS newsletterremovelist_1 ON
contacts_link_emails_1.Email = newsletterremovelist_1.EmailAddress
GROUP BY contacts_1.ContactID))
While this query is now super fast (about 3 seconds), I’ve blown part of the logic somewhere – it only returns 14,863 rows (instead of the 18,215 rows that I believe is accurate).
The results seem near correct. I’m working to discover what data might be missing in the result set.
Can you please coach me through whatever I’ve done wrong here?
Thanks,
Russell Schutte
The main problem with your original query was that you had two extra joins just to introduce duplicates and then a
DISTINCTto get rid of them.Use this:
Create the following indexes: