Get the rows with highest id - mysql

So i have this problem where I'm trying to get the row with highest id, the reason why i did a group restresults.id in the first example is because it show two of the same rows for some reason, but thats eliminated with that, but since the TestSuiteCollectionId and TestCaseId has the same TestCaseId but a different TestSuiteCollectionId and I need the row with highest id or as it's used here testresults.id, I thought I could group the Id's and do a ORDER BY testresult.id DESC, to get the highest id first, but for some reason it's not taking the first two rows, from example 1. Here is my pretty long sql code, don't mind all the nameId's. Have in mind that LIMIT 2 won't work, because I have more TestCaseId's this is just for the Id 1841, so it has to be the highest id for each group by TestSuiteCollectionId, TestCaseId with different TestCaseId's
SELECT
testresults.id, nameId, TestSuiteId, TestCaseId, TestSuiteCollectionId, TestCaseName, TestSuiteName, TestSuiteCollectionName, StatusId
FROM
Testreportingdebug.testresults
LEFT JOIN
TestResultRequirementLink ON testresults.id = TestResultRequirementLink.testresultid
LEFT JOIN
TestCaseRequirement ON TestResultRequirementLink.requirementId = TestCaseRequirement.id
LEFT JOIN
testcase ON testresults.TestCaseId = testcase.id
LEFT JOIN
testsuite ON testresults.TestSuiteId = testsuite.id
LEFT JOIN
testsuitecollection ON testresults.TestSuiteCollectionId = testsuitecollection.id
WHERE
TRUE
AND Testcaserequirement.nameId IN ('49971' , '49974',
'49976',
'305652',
'305653',
'305648',
'46486',
'46487',
'46440',
'46432',
'46447',
'46474',
'46441',
'651706',
'651709',
'305655',
'309133',
'46488',
'46317',
'46364',
'46365',
'46336',
'46342',
'49963',
'49956',
'49961',
'46467',
'46468',
'46469',
'171651',
'171652',
'171654',
'171655',
'190800',
'190799',
'190801',
'171232',
'171647',
'171648',
'171650',
'226065',
'226064',
'236257',
'46344',
'46332',
'46345',
'46331',
'46347',
'46330',
'46346',
'46720',
'46723',
'46725',
'46728',
'46737',
'46740',
'46743',
'46527',
'46530',
'46534',
'46535',
'46550',
'46557',
'46528',
'46533',
'46551',
'46559',
'46560',
'46703',
'46704',
'46706',
'46574',
'46708',
'46537',
'46543',
'46563',
'46567',
'46326',
'46328',
'46680',
'46643',
'46627',
'46626',
'46625',
'46622',
'46623',
'46644',
'46645',
'46647',
'46648',
'46714',
'46673',
'46674',
'46677',
'46679',
'46683',
'46689',
'46713',
'46678',
'46684',
'46699',
'46707',
'49994',
'46601',
'46604',
'46579',
'46602',
'46603',
'46605',
'46690',
'46456',
'46437',
'46438',
'46439',
'46475',
'46455',
'83985',
'46472',
'46471',
'1178127',
'1178128',
'1178129',
'1178132',
'1271718',
'46473',
'1178137',
'1301190',
'1308824',
'1273524',
'1273525',
'1273526',
'1273527',
'1273528',
'1273529',
'1308825',
'1308827',
'1308826',
'1336930',
'1308828',
'991788',
'1273496',
'1308819',
'1273497',
'1273500',
'1273503',
'1273508',
'1273510',
'1273512',
'1273518',
'1308822',
'1273515',
'1284164',
'1301195',
'1273516',
'1273517',
'1271722',
'1271723',
'1271724',
'1284162',
'1271720',
'1271728',
'1271731',
'1271727',
'1271730',
'1271733',
'1280758',
'1271736',
'1271738',
'1271740',
'1271743',
'1271747',
'1271746',
'1271744',
'1271745',
'1301193',
'1271726',
'1271729',
'1271732',
'1271735',
'1271737',
'1271739',
'1271741',
'1301632',
'1273520',
'1273522',
'1280762',
'1280765',
'1284168',
'1284167',
'1301196',
'1284165',
'1284166',
'1273509',
'1273511',
'1273514',
'1308820',
'1308821',
'1273498',
'1273499',
'1273501',
'1273502',
'1273504',
'1273505',
'1308829',
'1308830',
'1308831',
'1273530',
'1273531',
'1273532',
'1273533',
'1273534',
'1273535',
'1308832',
'1308833',
'1308834',
'1273537',
'1273542',
'1273543',
'1273539',
'1280768',
'1273540',
'1273544',
'1273541',
'1301197',
'1280766',
'1273538',
'1280767',
'1280769',
'1284169',
'1308835',
'1308836',
'1308837',
'1273545',
'1273546',
'1273547',
'1273548',
'1273549',
'1273550',
'1308838',
'1308839',
'1308840',
'1273552',
'1273557',
'1273558',
'1280770',
'1273553',
'1280771',
'1273559',
'1273556',
'1280773',
'1273554',
'1280772',
'1301198',
'1273555',
'1284170',
'1273521',
'1280761',
'1280763',
'1280764')
AND `TestSuiteCollectionName` LIKE '%GiM10%' AND TestCaseId = 1841
GROUP BY testresults.id
ORDER BY testresults.id DESC;
OUTPUT
Sorry for posting this as a picture but it's too wide
Table output
Then i tried to group by the id's and get them from highest testresult.id to lowest. but it shows lowest no matter that when without DESC or with.
Group by TestCaseId, TestSuiteCollectionId


Sounds like you want the row with the highest TestResults.Id for every TestSuiteCollection, TestCase. There are a couple of ways to go about it like a group by and joining that. For the cleanest, easiest to read approach, I'd recommend a window function for this.
You can do something like this:
SELECT * FROM
(
SELECT
ROW_NUMBER() OVER (PARTITION BY TestSuiteCollectionId, TestCaseId ORDER BY TestResults.Id DESC) AS RowNumber,
testresults.id,
nameId,
TestSuiteId,
TestCaseId,
TestSuiteCollectionId,
TestCaseName,
TestSuiteName,
TestSuiteCollectionName,
StatusId
FROM
Testreportingdebug.testresults
LEFT JOIN
TestResultRequirementLink ON testresults.id = TestResultRequirementLink.testresultid
LEFT JOIN
TestCaseRequirement ON TestResultRequirementLink.requirementId = TestCaseRequirement.id
LEFT JOIN
testcase ON testresults.TestCaseId = testcase.id
LEFT JOIN
testsuite ON testresults.TestSuiteId = testsuite.id
LEFT JOIN
testsuitecollection ON testresults.TestSuiteCollectionId = testsuitecollection.id
--WHERE
--any additional criteria
)foo
WHERE foo.RowNumber = 1


if the id's are integer then you can try using aggregate function max():
max(Testcaserequirement.nameId)


If i understand you correctly, you need max Id for each TestSuiteCollectionId and TestCaseId, thats why i put the max(id) and group by in the FROM statement and then Joined other tables to that max ID.
SQL:
select
testresults.id,
nameId,
TestSuiteId,
TestCaseId,
TestSuiteCollectionId,
TestCaseName,
TestSuiteName,
TestSuiteCollectionName,
StatusId
from(
select TestSuiteCollectionId, TestCaseId, max(testresults.id) id
FROM Testreportingdebug.testresults
LEFT JOIN testsuitecollection ON testresults.TestSuiteCollectionId = testsuitecollection.id
WHERE TRUE AND Testcaserequirement.nameId IN ('49971' , '49974','49976',........,'1280764')
AND `TestSuiteCollectionName` LIKE '%GiM10%' AND TestCaseId = 1841
GROUP BY TestSuiteCollectionId, TestCaseId) testresults
LEFT JOIN
TestResultRequirementLink ON testresults.id = TestResultRequirementLink.testresultid
LEFT JOIN
TestCaseRequirement ON TestResultRequirementLink.requirementId = TestCaseRequirement.id
LEFT JOIN
testcase ON testresults.TestCaseId = testcase.id
LEFT JOIN
testsuite ON testresults.TestSuiteId = testsuite.id
LEFT JOIN
testsuitecollection ON testresults.TestSuiteCollectionId = testsuitecollection.id

Related

SQL is intermittently returning no data in response to a LEFT JOIN

I am trying to hunt down a bug in a SQL query but can't seem to get to the bottom of it. The query looks like this:
SELECT
DATE(BT.DateCheckedIn) AS X,
DAYOFWEEK(BT.DateCheckedIn) AS DayX,
SUM(IR.QtyCheckedIn) AS C,
AU.AdminUsername,
AU.AdminFirstName,
AU.AdminLastName,
IF(BTE.ProdLogID IS NULL, 'No', 'Yes') AS Exclude
FROM
buying_issuesreceived IR
JOIN buying_transactions BT ON IR.TransactionID = BT.TransactionID
JOIN adminusers AU ON BT.CheckedInByAdminUserID = AU.AdminUserID
LEFT JOIN log_production_bt BTE
ON DATE(BT.DateCheckedIn) = DATE(BTE.ProductionDate)
AND BTE.ProductionSection = 'wtransactions'
AND AU.AdminUsername = BTE.ProductionUsername
WHERE
DATE(BT.DateCheckedIn) BETWEEN DATE '2018-09-24' AND DATE '2018-09-30'
GROUP BY
DATE(BT.DateCheckedIn),
AU.AdminUsername
When this query is run, it has about a 50/50 chance of returning the correct data or returning nothing at all. There is no error message. I know, or rather should say, am pretty certain, that the LEFT JOIN is the culprit because when I delete it from the code I stop getting empty tables, but can't, for the life of me, figure out why this query would return inconsistent results in the first place.

This sounds like a MySQL bug. As a workaround, you can use EXISTS with a correlated subquery.
SELECT
DATE(BT.DateCheckedIn) AS X,
DAYOFWEEK(BT.DateCheckedIn) AS DayX,
SUM(IR.QtyCheckedIn) AS C,
AU.AdminUsername,
AU.AdminFirstName,
AU.AdminLastName,
IF(EXISTS(
SELECT 1
FROM log_production_bt BTE
WHERE
DATE(BT.DateCheckedIn) = DATE(BTE.ProductionDate)
AND BTE.ProductionSection = 'wtransactions'
AND AU.AdminUsername = BTE.ProductionUsername), 'NO', 'YES') AS Exclude
FROM
buying_issuesreceived IR
JOIN buying_transactions BT ON IR.TransactionID = BT.TransactionID
JOIN adminusers AU ON BT.CheckedInByAdminUserID = AU.AdminUserID
WHERE
DATE(BT.DateCheckedIn) BETWEEN DATE '2018-09-24' AND DATE '2018-09-30'
GROUP BY
DATE(BT.DateCheckedIn),
AU.AdminUsername

how to perform count using nested select in a select statement

So here is the issue. I'm trying to write a new fillrate report because the one built in is not good enough... I'm trying to run a single select statement to return both, a count of how many times an item was ordered for a specific month, and then also a count of how many times it was invoiced/shipped in full.
This code is obviously wrong, I also currently have it restricted to only look at AUG of 2015, but that is just to simplify results during testing.
I can't figure out how to do the 2nd count... This is what I was trying (brain stuck on old for each loop logic):
select inv_mast.item_id,
inv_mast.item_desc,
"YEAR" = year(oe_line.required_date),
"MONTH" = month(oe_line.required_date),
"ORDERS" = count(1),
"HITS" = (
select count(1)
from invoice_line
where invoice_line.order_no = oe_line.order_no
and invoice_line.oe_line_number = oe_line.line_no
and invoice_line.qty_shipped = oe_line.qty_ordered
)
from oe_line,
inv_mast,
inv_loc
where inv_mast.inv_mast_uid = oe_line.inv_mast_uid
and inv_mast.delete_flag = 'N'
and inv_mast.inv_mast_uid = inv_loc.inv_mast_uid
and inv_loc.location_id = '101'
and year(oe_line.required_date) = '2015'
and month(oe_line.required_date) = '8'
group by inv_mast.item_id,
inv_mast.item_desc,
year(oe_line.required_date),
month(oe_line.required_date)
order by inv_mast.item_id

To me it would seem like you could rewrite the query to use a left join on the invoice_line table instead. Without any proper test data I can't guarantee it is correct, but I think it should be.
Besides the left join I also changed to explicit joins and moved the aliases as I don't think MySQL supports the alias = column syntax.
select inv_mast.item_id,
inv_mast.item_desc,
year(o.required_date) as "YEAR",
month(o.required_date) as "MONTH",
count(1) as "ORDERS",
count(invoice_line.order_no) as "HITS"
from oe_line o
join inv_mast on inv_mast.inv_mast_uid = o.inv_mast_uid
join inv_loc on inv_mast.inv_mast_uid = inv_loc.inv_mast_uid
left join invoice_line on invoice_line.order_no = o.order_no
and invoice_line.oe_line_number = o.line_no
and invoice_line.qty_shipped = o.qty_ordered
where inv_mast.delete_flag = 'N'
and inv_loc.location_id = '101'
and year(o.required_date) = '2015'
and month(o.required_date) = '8'
group by inv_mast.item_id,
inv_mast.item_desc,
year(o.required_date),
month(o.required_date)
order by inv_mast.item_id;

mysql select from a view with where condition gives different result than executing the view definition with where condition

I have a view with the following definition:
select
`cb_trans_detail`.`numero_partida` AS `numero_partida`,
`cb_trans_head`.`fecha_partida` AS `fecha_partida`,
`cb_trans_detail`.`concepto_partida` AS `concepto_partida`,
`cb_cuenta`.`nombre_cuenta` AS `nombre_cuenta`,
`cb_cuenta`.`codigo_mayor` AS `codigo_mayor`,
`cb_mayor`.`nombre_mayor` AS `nombre_mayor`,
`cb_mayor`.`categoria` AS `categoria`,
`cb_categoria`.`nombre` AS `nombre`,
`cb_categoria`.`presentacion` AS `presentacion`,
`cb_trans_detail`.`codigo_cuenta` AS `codigo_cuenta`,
sum(`cb_trans_detail`.`debito_partida`) AS `Debitos`,
sum(`cb_trans_detail`.`credito_partida`) AS `Creditos`,
`cb_cuenta`.`saldo_inicial` AS `saldo_inicial`,
((`cb_cuenta`.`saldo_inicial` +
sum(`cb_trans_detail`.`debito_partida`)) -
sum(`cb_trans_detail`.`credito_partida`)) AS `Saldo`,
concat(`cb_mayor`.`categoria`,`cb_cuenta`.`codigo_mayor`,`cb_trans_detail`.`codigo_cuenta`)
AS `Codigo`
from
((((`cb_trans_detail` join `cb_cuenta`
on(((`cb_trans_detail`.`codigo_cuenta` = `cb_cuenta`.`codigo_cuenta`)
and (`cb_trans_detail`.`categoria` = `cb_cuenta`.`categoria`)
and (`cb_trans_detail`.`codigo_mayor` = `cb_cuenta`.`codigo_mayor`))))
join `cb_mayor` on(((`cb_cuenta`.`codigo_mayor` = `cb_mayor`.`codigo_mayor`)
and (`cb_cuenta`.`categoria` = `cb_mayor`.`categoria`))))
join `cb_categoria` on(((`cb_mayor`.`categoria` = `cb_categoria`.`categoria`)
and (`cb_trans_detail`.`categoria` = `cb_categoria`.`categoria`))))
left join `cb_trans_head` on((`cb_trans_detail`.`numero_partida` =
`cb_trans_head`.`numero_partida`)))
where
(`cb_categoria`.`presentacion` = '1')
group by concat(`cb_mayor`.`categoria`,`cb_cuenta`.`codigo_mayor`,
`cb_trans_detail`.`codigo_cuenta`)
If I select from this view as follows:
SELECT
`balance_general_view`.`numero_partida`,
`balance_general_view`.`fecha_partida`,
`balance_general_view`.`concepto_partida`,
`balance_general_view`.`nombre_cuenta`,
`balance_general_view`.`codigo_mayor`,
`balance_general_view`.`nombre_mayor`,
`balance_general_view`.`categoria`,
`balance_general_view`.`nombre`,
`balance_general_view`.`presentacion`,
`balance_general_view`.`codigo_cuenta`,
`balance_general_view`.`Debitos`,
`balance_general_view`.`Creditos`,
`balance_general_view`.`saldo_inicial`,
`balance_general_view`.`Saldo`,
`balance_general_view`.`Codigo`
FROM
`balance_general_view`
WHERE
`balance_general_view`.`fecha_partida` BETWEEN '2014-01-01' AND '2014-01-31'
this yields a different result than if I execute the query as follows:
select
`cb_trans_detail`.`numero_partida` AS `numero_partida`,
`cb_trans_head`.`fecha_partida` AS `fecha_partida`,
`cb_trans_detail`.`concepto_partida` AS `concepto_partida`,
`cb_cuenta`.`nombre_cuenta` AS `nombre_cuenta`,
`cb_cuenta`.`codigo_mayor` AS `codigo_mayor`,
`cb_mayor`.`nombre_mayor` AS `nombre_mayor`,
`cb_mayor`.`categoria` AS `categoria`,
`cb_categoria`.`nombre` AS `nombre`,
`cb_categoria`.`presentacion` AS `presentacion`,
`cb_trans_detail`.`codigo_cuenta` AS `codigo_cuenta`,
sum(`cb_trans_detail`.`debito_partida`) AS `Debitos`,
sum(`cb_trans_detail`.`credito_partida`) AS `Creditos`,
`cb_cuenta`.`saldo_inicial` AS `saldo_inicial`,
((`cb_cuenta`.`saldo_inicial` + sum(`cb_trans_detail`.`debito_partida`)) - sum(`cb_trans_detail`.`credito_partida`)) AS `Saldo`,
concat(`cb_mayor`.`categoria`,`cb_cuenta`.`codigo_mayor`,`cb_trans_detail`.`codigo_cuenta`) AS `Codigo`
from
((((`cb_trans_detail` join `cb_cuenta` on(((`cb_trans_detail`.`codigo_cuenta` = `cb_cuenta`.`codigo_cuenta`) and (`cb_trans_detail`.`categoria` = `cb_cuenta`.`categoria`) and (`cb_trans_detail`.`codigo_mayor` = `cb_cuenta`.`codigo_mayor`)))) join `cb_mayor` on(((`cb_cuenta`.`codigo_mayor` = `cb_mayor`.`codigo_mayor`) and (`cb_cuenta`.`categoria` = `cb_mayor`.`categoria`)))) join `cb_categoria` on(((`cb_mayor`.`categoria` = `cb_categoria`.`categoria`) and (`cb_trans_detail`.`categoria` = `cb_categoria`.`categoria`)))) left join `cb_trans_head` on((`cb_trans_detail`.`numero_partida` = `cb_trans_head`.`numero_partida`)))
where
(`cb_categoria`.`presentacion` = '1') and `cb_trans_head`.`fecha_partida` BETWEEN '2014-01-01' and '2014-01-31'
group by
concat(`cb_mayor`.`categoria`,`cb_cuenta`.`codigo_mayor`,`cb_trans_detail`.`codigo_cuenta`)
My question is: How to get the result I need using the view and filtering programatically instead of hard-coding the where condition? Thank you. If you need the individual table definitions let me know. Much appreciated.

If you use a left join to a table X and a condition in the WHERE-clause to this table X, you change your left join to an inner one. If you want to restrict the results by the values of this left joined table, you must use this condition in the ON clause of the left join instead:
...
LEFT JOIN
cb_trans_head
ON
cb_trans_detail.numero_partida = cb_trans_head.numero_partida
AND
cb_trans_head.fecha_partida BETWEEN '2014-01-01' and '2014-01-31'
...
If there's another one that I overlook, tread it the same way.

can't get select query to work

I want to use a Select query from mysql database in C:
mysql_query(conn,"SELECT SI AS SUBSCRIBER_ID ,TG2 AS TAG_ID, SUM(CTR) AS NBR FROM (SELECT H.SUBSCRIBER_ID AS SI, TG.TAG_ID AS TG1,T.TAG_ID AS TG2, COUNT(TG.TAG_ID) AS COUNTER,CASE WHEN (TG.TAG_ID = T.TAG_ID) THEN COUNT(TG.TAG_ID) ELSE 0 END AS CTR from content_hits H left join CONTENT_TAG TG ON TG.CONTENT_ID = H.CONTENT_ID LEFT JOIN TAG T ON 1= 1 GROUP BY H.SUBSCRIBER_ID, TG.TAG_ID,T.TAG_ID) AS TAB GROUP BY SI,TG2");
After that, I want to use 'NBR' to fill an array of one dimension.
I tried this:
result = mysql_store_result(conn);
while ((row = mysql_fetch_row(result)))
{
t[i]=*row['NBR'];
printf("%d",t[i]);
}
But it didn't work.

You cannot access the row columns by name like you have t[i]=*row['NBR'];. Use for example fields = mysql_fetch_fields(result); to get the column names and iterate through the fields array to find which column id 'NBR' has. This id can then be used in t[i]=row[id];. This is all in the mysql connectors doc http://dev.mysql.com/doc/refman/5.0/en/mysql-fetch-fields.html

MySQL view returns more results with an AND?

When I do this:
select * from vw_active_employees where division IS NULL; --319 results
Makes sense. And, then I do this...
select * from vw_active_employees where division IS NULL AND udds IS NULL; -- over 1000 results
Whaaaaat?? MORE results??
So, I had to wrap the view as a subselect for it to return what I was expecting. Like this:
select vw_active_employees.* from (select * from vw_active_employees) tmp where division IS NULL AND udds IS NULL; --317 results
Can someone explain this? I've never had to do this in MS SQLSERVER - so this is foreign to me.
The SQL used to create this view actually joins a number of other views together. I'm not entirely sure it's helpful to see, but you asked for it :) It's basically
CREATE VIEW `vw_active_employees` AS
select
e.*,
`vw_employee_attributes_map`.`med_school_faculty`, `vw_employee_attributes_map`.`paid_clinic_faculty`, `vw_employee_attributes_map`.`volunteer_clinic_faculty`, `vw_employee_attributes_map`.`dept_vote_rights`, `vw_employee_attributes_map`.`emeritus`, `vw_employee_attributes_map`.`aoa_member`, `vw_employee_attributes_map`.`faculty_senate`, `vw_employee_attributes_map`.`faculty_senator_elect`, `vw_employee_attributes_map`.`faculty_senator_alt_elect`, `vw_employee_attributes_map`.`exec_comm_member`, `vw_employee_attributes_map`.`ucc`, `vw_employee_attributes_map`.`icc`, `vw_employee_attributes_map`.`va`, `vw_employee_attributes_map`.`uwmf`, `vw_employee_attributes_map`.`affiliate`, `vw_employee_attributes_map`.`aurora`, `vw_employee_attributes_map`.`website_searchable`,
`vw_employee_current_appointment_info`.`termination_date`, `vw_employee_current_appointment_info`.`last_promotion_date`, `vw_employee_current_appointment_info`.`promotion_due_date`, `vw_employee_current_appointment_info`.`last_reappointment_date`, `vw_employee_current_appointment_info`.`reappointment_duration`, `vw_employee_current_appointment_info`.`reappointment_due_date`, `vw_employee_current_appointment_info`.`non_renewal_date`, `vw_employee_current_appointment_info`.`roster`, `vw_employee_current_appointment_info`.`payroll`, `vw_employee_current_appointment_info`.`on_probation`, `vw_employee_current_appointment_info`.`probation_complete`, `vw_employee_current_appointment_info`.`probation_notify_sent_date`, `vw_employee_current_appointment_info`.`probation_end_date`, `vw_employee_current_appointment_info`.`uw_appointment_id`, `vw_employee_current_appointment_info`.`effective_date`, `vw_employee_current_appointment_info`.`percent`, `vw_employee_current_appointment_info`.`end_date`, `vw_employee_current_appointment_info`.`continuity_status`, `vw_employee_current_appointment_info`.`guaranteed_length`, `vw_employee_current_appointment_info`.`end_reason`, `vw_employee_current_appointment_info`.`midterm_eval_received`, `vw_employee_current_appointment_info`.`final_eval_received`, `vw_employee_current_appointment_info`.`annual_eval_letter_sent`, `vw_employee_current_appointment_info`.`annual_eval_sent_date`, `vw_employee_current_appointment_info`.`annual_eval_received`, `vw_employee_current_appointment_info`.`annual_eval_received_date`, `vw_employee_current_appointment_info`.`probation_month_done`, `vw_employee_current_appointment_info`.`seniority_date`, `vw_employee_current_appointment_info`.`represented`, `vw_employee_current_appointment_info`.`work_schedule`, `vw_employee_current_appointment_info`.`evaluation_end_date`, `vw_employee_current_appointment_info`.`evaluation_month_end`, `vw_employee_current_appointment_info`.`evaluation_sent_date`, `vw_employee_current_appointment_info`.`evaluation_completed`, `vw_employee_current_appointment_info`.`hiring_pi`, `vw_employee_current_appointment_info`.`appointment_type`, `vw_employee_current_appointment_info`.`appointment_type_code`, `vw_employee_current_appointment_info`.`appointment_classified`, `vw_employee_current_appointment_info`.`termination_type`, `vw_employee_current_appointment_info`.`head`, `vw_employee_current_appointment_info`.`secretary`, `vw_employee_current_appointment_info`.`division`, `vw_employee_current_appointment_info`.`supervisor_first_name`, `vw_employee_current_appointment_info`.`supervisor_last_name`, `vw_employee_current_appointment_info`.`title`, `vw_employee_current_appointment_info`.`title_code`, `vw_employee_current_appointment_info`.`udds`, `vw_employee_current_appointment_info`.`udds_code`,
`vw_employee_current_background_info`.`visa_holder`, `vw_employee_current_background_info`.`visa_type`, `vw_employee_current_background_info`.`visa_expiration_date`, `vw_employee_current_background_info`.`license`, `vw_employee_current_background_info`.`license_exp_date`, `vw_employee_current_background_info`.`dea`, `vw_employee_current_background_info`.`dea_expiration_date`, `vw_employee_current_background_info`.`national_provider_number`, `vw_employee_current_background_info`.`residency_location`, `vw_employee_current_background_info`.`residency_end_date`, `vw_employee_current_background_info`.`fellowship_location`, `vw_employee_current_background_info`.`fellowship_end_date`, `vw_employee_current_background_info`.`primary_board_cert`, `vw_employee_current_background_info`.`primary_cert_date`, `vw_employee_current_background_info`.`specialty_board_cert`, `vw_employee_current_background_info`.`specialty_cert_date`, `vw_employee_current_background_info`.`degree_info_reports`, `vw_employee_current_background_info`.`healthlink_id`, `vw_employee_current_background_info`.`uwmf_general_ledger_id`, `vw_employee_current_background_info`.`uwmf_employee_id`, `vw_employee_current_background_info`.`specialty`,
`vw_employee_current_compliance_info`.`hipaa_training_completed`, `vw_employee_current_compliance_info`.`sic_training_completed`, `vw_employee_current_compliance_info`.`background_check_completed`, `vw_employee_current_compliance_info`.`i9_completed`, `vw_employee_current_compliance_info`.`caregiver_applies`, `vw_employee_current_compliance_info`.`caregiver_check_completed`, `vw_employee_current_compliance_info`.`tb_completed`, `vw_employee_current_compliance_info`.`rubella_immunity_comfirmed`, `vw_employee_current_compliance_info`.`respiratory_test_completed`, `vw_employee_current_compliance_info`.`health_link`, `vw_employee_current_compliance_info`.`access_request_uwhc`, `vw_employee_current_compliance_info`.`rn_credentialing`, `vw_employee_current_compliance_info`.`bls_cert_expiration`, `vw_employee_current_compliance_info`.`uwhc_cred_submitted`,
`vw_employee_current_contact_info`.`employee_id`, `vw_employee_current_contact_info`.`ext_office`, `vw_employee_current_contact_info`.`area_code_office`, `vw_employee_current_contact_info`.`number_office`, `vw_employee_current_contact_info`.`country_code_office`, `vw_employee_current_contact_info`.`ext_home`, `vw_employee_current_contact_info`.`area_code_home`, `vw_employee_current_contact_info`.`number_home`, `vw_employee_current_contact_info`.`country_code_home`, `vw_employee_current_contact_info`.`address1_office`, `vw_employee_current_contact_info`.`address2_office`, `vw_employee_current_contact_info`.`city_office`, `vw_employee_current_contact_info`.`state_office`, `vw_employee_current_contact_info`.`zip_office`, `vw_employee_current_contact_info`.`mail_code_office`, `vw_employee_current_contact_info`.`address1_home`, `vw_employee_current_contact_info`.`address2_home`, `vw_employee_current_contact_info`.`city_home`, `vw_employee_current_contact_info`.`state_home`, `vw_employee_current_contact_info`.`zip_home`, `vw_employee_current_contact_info`.`email`
from employee e
left join vw_employee_attributes_map on e.id = vw_employee_attributes_map.employee_id
left join vw_employee_current_appointment_info on e.id = vw_employee_current_appointment_info.employee_id
left join vw_employee_current_background_info on e.id = vw_employee_current_background_info.employee_id
left join vw_employee_current_compliance_info on e.id = vw_employee_current_compliance_info.employee_id
left join vw_employee_current_contact_info on e.id = vw_employee_current_contact_info.employee_id
where e.active = 1
And the vw_employee_current_appointment_info which contains 'division' and 'udds' looks like:
CREATE VIEW `vw_employee_current_appointment_info` AS
select e.id as `employee_id`,
`appointment`.`termination_date`, `appointment`.`last_promotion_date`, `appointment`.`promotion_due_date`, `appointment`.`last_reappointment_date`, `appointment`.`reappointment_duration`, `appointment`.`reappointment_due_date`, `appointment`.`non_renewal_date`, `appointment`.`roster`, `appointment`.`payroll`, `appointment`.`on_probation`, `appointment`.`probation_complete`, `appointment`.`probation_notify_sent_date`, `appointment`.`probation_end_date`, `appointment`.`uw_appointment_id`, `appointment`.`effective_date`, `appointment`.`percent`, `appointment`.`end_date`, `appointment`.`continuity_status`, `appointment`.`guaranteed_length`, `appointment`.`end_reason`, `appointment`.`midterm_eval_received`, `appointment`.`final_eval_received`, `appointment`.`annual_eval_letter_sent`, `appointment`.`annual_eval_sent_date`, `appointment`.`annual_eval_received`, `appointment`.`annual_eval_received_date`, `appointment`.`probation_month_done`, `appointment`.`seniority_date`, `appointment`.`represented`, `appointment`.`work_schedule`, `appointment`.`evaluation_end_date`, `appointment`.`evaluation_month_end`, `appointment`.`evaluation_sent_date`, `appointment`.`evaluation_completed`, `appointment`.`hiring_pi`,
`appointment_type`.`name` as `appointment_type`, `appointment_type`.`code` as `appointment_type_code`, `appointment_type`.`classified` as `appointment_classified`,
`termination`.`name` as `termination_type`,
`appointment_division`.`head`, `appointment_division`.`secretary`,
`division`.`division_name` as `division`,
`supervisor`.`first_name` as `supervisor_first_name`, `supervisor`.`last_name` as `supervisor_last_name`,
`title`.`name` as `title`, `title`.`code` as `title_code`,
`udds`.`name` as `udds`, `udds`.`code` as `udds_code`
from employee e
left join appointment on appointment.employee_id = e.id and appointment.primary = 1
left join appointment_type on appointment.appointment_type_id = appointment_type.id
left join termination on appointment.termination_id = termination.id
left join appointment_division on appointment_division.appointment_id = appointment.id and appointment_division.primary = 1
left join division on appointment_division.division_id = division.id
left join appointment_supervisor on appointment_supervisor.appointment_id = appointment.id and appointment_supervisor.primary = 1
left join employee supervisor on appointment_supervisor.supervisor_id = supervisor.id
left join appointment_title on appointment_title.appointment_id = appointment.id and appointment_title.primary = 1
left join title on appointment_title.title_id = title.id
left join appointment_udds on appointment_udds.appointment_id = appointment.id and appointment_udds.primary = 1
left join udds on udds.id = appointment_udds.udds_id

you have used left join in your tables .when join condition is true than it has been select records those match in all tables than fetch records from left tables one by one and in this case your null condition is true and it is repeat the result set view

You are using left joins so your base table connects to the subsequent tables even if no value exists. However, when you begin to filter the subsequent tables you are specifying a that the subsequent table contain certain values. In this case there are probably only 319 values in the "vw_employee_current_appointment_info" with a null in the division field. When you add in the udds field there can be more fields that are null, because of the left join the division field is NULL by definition
So, the number of connections where "vw_employee_current_appointment_info" has udds as NULL is greater than the number of records where division is NULL, so it brings them all back. If you try this with equal joins then the number will be 319 max.