Given the following table structure
Locations
LocationName|Easting|Northing
Incidents
LocationString|Easting|Northing|LocationName
LocationString is a badly formatted Subway Station Name that the user of the application can type any old rubbish in to. The eastings and Northings (Co-ordinates) are consistent however. Using them i can give the location a consistent name by looking those values up in a look up table.
In ACCESS SQL i would do the following
UPDATE INCIDENTS, Locations
SET Incidents.LocationName = Locations.LocationsName
WHERE Incidents.Easting = Locations.Easting
AND
Incidents.Northing = Locations.Northing
How do i accomplish the same in T-SQL?
UPDATE I
SET I.LocationName = L.LocationsName
FROM Incidents I
JOIN Locations L
ON I.Easting = L.Easting AND I.Northing = L.Northing
Related
I have 2 tables, 1 containing the main body of information, the second contains information on country naming convensions. in the information table, countries are identified by Name, I would like to update this string to contain an ISO alpha 3 value which is contained in the naming convention table. e.g turning "United Kingdom" -> "GBR"
I have wrote the following query to make the update, but it effects 0 rows
UPDATE
`db.catagory.test_votes_ds`
SET
`db.catagory.test_votes_ds`.country = `db.catagory.ISO-Alpha`.Alpha_3_code
FROM
`db.catagory.ISO-Alpha`
WHERE
`LOWER(db.catagory.ISO-Alpha`.Country) = LOWER(`db.catagory.test_votes_ds`.country)
I've done an inner join outside of the update between the 2 to make sure that the values are compatable and it returns the correct value, any ideas as to why it isn't updating?
The join used to validate the result is listed below, along with the result:
SELECT
`db.catagory.test_votes_ds`.country, `db.catagory.ISO-Alpha`.Alpha_3_code
from
`db.catagory.test_votes_ds`
inner join
`db.catagory.ISO-Alpha`
on
LOWER(`db.catagory.test_votes_ds`.country) = LOWER(`db.catagory.ISO-Alpha`.Country)
1,Ireland,IRL
2,Australia,AUS
3,United States,USA
4,United Kingdom,GBR
This is not exactly an answer. But your test may not be sufficient. You need to check where the values do not match. So, to return those:
select tv.*
from `db.catagory.test_votes_ds` tv left join
`db.catagory.ISO-Alpha` a
on LOWER(tv.country) = LOWER(a.Country)
where a.Country IS NULL;
I suspect that you will find countries that do not match. So when you run the update, the matches are getting changed the first time. Then the non-matches are never changed.
I have a complex set of schema that I am trying to pull data out of for a report. The query for it joins a bunch of tables together and I am specifically looking to pull a subset of data where everything for it might be null. The original relations for the tables look as such.
Location.DeptFK
Dept.PK
Section.DeptFK
Subsection.SectionFK
Question.SubsectionFK
Answer.QuestionFK, SubmissionFK
Submission.PK, LocationFK
From here my problems begin to compound a little.
SELECT Section.StepNumber + '-' + Question.QuestionNumber AS QuestionNumberVar,
Question.Question,
Subsection.Name AS Subsection,
Section.Name AS Section,
SUM(CASE WHEN (Answer.Answer = 0) THEN 1 ELSE 0 END) AS NA,
SUM(CASE WHEN (Answer.Answer = 1) THEN 1 ELSE 0 END) AS AnsNo,
SUM(CASE WHEN (Answer.Answer = 2) THEN 1 ELSE 0 END) AS AnsYes,
(select count(distinct Location.Abbreviation) from Department inner join Plant on location.DepartmentFK = Department.PK WHERE(Department.Name = 'insertParameter'))
as total
FROM Department inner join
section on Department.PK = section.DepartmentFK inner JOIN
subsection on Subsection.SectionFK = Section.PK INNER JOIN
question on Question.SubsectionFK = Subsection.PK INNER JOIN
Answer on Answer.QuestionFK = question.PK inner JOIN
Submission on Submission.PK = Answer.SubmissionFK inner join
Location on Location.DepartmentFK = Department.PK AND Location.pk = Submission.PlantFK
WHERE (Department.Name = 'InsertParameter') AND (Submission.MonthTested = '1/1/2017')
GROUP BY Question.Question, QuestionNumberVar, Subsection.Name, Section.Name, Section.StepNumber
ORDER BY QuestionNumberVar;
There are 15 total locations, with this query I get 12. If I remove a relation in the join for Location I get 15 total locations but my answer data gets multiplied by 15. My issue is that not all locations are required to test at the same time so their answers should default to NA, They don't get records placed in the DB so the relationship between Location/Submission is absent.
I have a workaround almost in place via the select count distinct but, The second part is a query for finding what each location answered instead of a sum which brings the problem right back around. It also has to be dynamic because the input parameters for a department won't bring a static number of locations back each time.
I am still learning my SQL so any additional material to look at for building this query would also be appreciated. So I guess the big question here is, How would I go about creating default data in this query for anytime the Location/Submission relation has a null value?
Edit: Dummy Data
QuestionNumberVar | Section | Subsection | Question | AnsYes | AnsNo | NA (expected)
1-1.1 Math Algebra Did you do your homework? 10 1 1(4)
1-1.2 Math Algebra Did your dog eat it? 9 3 0(3)
2-1.1 English Greek Did you do your homework? 8 0 4(7)
I have tried making left joins at various applicable portions of the code to no avail. All attempts at left joins have ended with no effect on info output. This query feeds into the Dataset for an SSRS report. There are a couple workarounds for this particular section via an expression to take total Locations and subtract AnsYes and AnsNo to get the true NA value but as explained above doesn't help with my next query.
Edit: SQL Server 2012 for those who asked
Edit: my attempt at an isnull() on the missing data returns nothing I suspect because the query already eliminates the "null/missing" data. Left joining while doing this has also failed. The point of failure is on Submissions. if we bind it to Locations there are locations missing but if we don't bind it there are multiplied duplicates because Department has a One-To-Many with Location and not vice versa. I am unable to make any schema changes to improve this process.
There is a previous report that I am trying to emulate/update. It used C# logic to process data and run multiple queries to attain the same data. I don't have this luxury. (previous report exports to excel directly instead of SSRS). Here is the previous logic used.
select PK from Department where Name = 'InsertParameter';
select PK from Submission where LocationFK = 'Location.PK_var' and MonthTested = '1/1/2017'
Then it runs those into a loop where it processes nulls into NA using C# logic
EDIT (Mediocre Solution): I ended up doing the workaround of making a calculated field that subtracts Yes and No from the total # of Locations that have that Dept. This is a mediocre solution because I didn't solve my original problem and made 3 datasets that should have been displayed as a singular dataset. One for question info, one for each locations answer and one for locations that didnt participate. If a true answer comes up I will check its validity but for now, Problem psuedo solved.
I'm using MS Access
The SQL below updates the CurrNumTees field in the Parent tblContact records with the number of tblTorTee records that have an end date (which is not the ultimate effect I am aiming for, but I provide it as a starting point.
UPDATE tblContact
INNER JOIN tblTorTee ON tblContact.ContactId = tblTorTee.TorId
SET tblContact!CurNumTees = DCount("[tblTorTee.EndDate]",
"tbltortee","Torid = " & [ContactId]);
I need to update the CurrNumTees field with the number of records in tblTorTee that do not have an EndDate, in other words, that field is blank. I’ve tried using WHERE and HAVING and IS NULL in various combinations and locations, but without success. Could you help point me in the right direction?
The MS Access COUNT function does not count nulls, so I think you have to do this in two stages.
Firstly create a query like this:
SELECT TorId, IIF(ISNULL(EndDate),1,0) AS isN
FROM tblTorTee
WHERE EndDate IS NULL;
And save it as QryEndDateNull
Now you can run an Update Query like this:
UPDATE tblContact
SET tblContact.CurNumTees = DSUM("IsN","QryEndDateNull","TorId = " & [ContactID]);
Saving calculated data (data dependent on other data) is usually a bad design, especially aggregate data. Should just calculate when needed.
Did you try the IS NULL criteria within the DCount()?
UPDATE tblContact Set CurNumTees = DCount("*", "tblTorTee", "EndDate Is Null AND TorId = " & [ContactId]);
I'm working with PeopleSoft Campus Solutions, and we need to update about 22,000 rows of data. This is data between the tables of ACAD_PLAN_VW and ACAD_PROG. Students are listed on both, so their IDs match between the two.
Basically what we are trying to do is say that when the ID, academic career, student career number, effective sequence, and effective date match, AND where the academic plan (their degree, as stored on the ACAD_PLAN_VW) is a specific value, update the ACAD_PROG on the ACAD_PROG table to X value.
I tried to do some very interesting combinations of FROM statements, constantly getting errors. After some researching, I found out that SQLTools doesn't really like FROM statements within UPDATE statements, so I rewrote it to just make the connections manually. I'm assuming I'm doing this right, unless I need to reword it.
The statement I have is:
UPDATE PS_ACAD_PROG SET PS_ACAD_PROG.ACAD_PROG = 'UGDS'
WHERE PS_ACAD_PLAN_VW.EMPLID = PS_ACAD_PROG.EMPLID
AND PS_ACAD_PLAN_VW.ACAD_CAREER = PS_ACAD_PROG.ACAD_CAREER
AND PS_ACAD_PLAN_VW.STDNT_CAR_NBR = PS_ACAD_PROG.STDNT_CAR_NBR
AND PS_ACAD_PLAN_VW.EFFSEQ = PS_ACAD_PROG.EFFSEQ
AND PS_ACAD_PLAN_VW.EFFDT = PS_ACAD_PROG.EFFDT
AND PS_ACAD_PLAN_VW.ACAD_PLAN = 'DSTDS'
Theoretically, I would assume that this would update any student who has those connections. However, the error that I'm currently getting is as follows:
ORA-00904: "PS_ACAD_PLAN_VW"."ACAD_PLAN": invalid identifier
I have, as of yet, been unable to figure out the issue. I do have the correct access to view and update those fields, and the field does indeed exist.
Oracle doesn't know it should use the PS_ACAD_PLAN_VW table. Somehow you should reference it.
For example can you try this way?
UPDATE (
select
PS_ACAD_PROG.ACAD_PROG,
PS_ACAD_PLAN_VW.ACAD_PLAN
from
PS_ACAD_PROG,
PS_ACAD_PLAN_VW
where
PS_ACAD_PLAN_VW.EMPLID = PS_ACAD_PROG.EMPLID
AND PS_ACAD_PLAN_VW.ACAD_CAREER = PS_ACAD_PROG.ACAD_CAREER
AND PS_ACAD_PLAN_VW.STDNT_CAR_NBR = PS_ACAD_PROG.STDNT_CAR_NBR
AND PS_ACAD_PLAN_VW.EFFSEQ = PS_ACAD_PROG.EFFSEQ
AND PS_ACAD_PLAN_VW.EFFDT = PS_ACAD_PROG.EFFDT
)
SET
ACAD_PROG = 'UGDS'
WHERE
ACAD_PLAN = 'DSTDS'
Try to use the table which is not getting identified,by keeping in where clause so that you can use the select statement.That will help identifying the tables.
The following implementation should work:
UPDATE PS_ACAD_PROG
SET ACAD_PROG = 'UGDS'
WHERE ROWID IN(SELECT PROG.ROWID
FROM PS_ACAD_PROG PROG
, PS_ACAD_PLAN_VW PLAN
WHERE PLAN.EMPLID = PROG.EMPLID
AND PLAN.ACAD_CAREER = PROG.ACAD_CAREER
AND PLAN.STDNT_CAR_NBR = PROG.STDNT_CAR_NBR
AND PLAN.EFFSEQ = PROG.EFFSEQ
AND PLAN.EFFDT = PROG.EFFDT
AND PLAN.ACAD_PLAN = 'DSTDS');
I've got the code below which displays the location_id and total number of antisocial crimes but I would like to get the location_name from a different table called location_dim be output as well. I tried to find a way to UNION it but couldn't get it to work. Any ideas?
SELECT fk5_location_id , COUNT(fk3_crime_id) as TOTAL_ANTISOCIAL_CRIMES
from CRIME_FACT
WHERE fk1_time_id = 3 AND fk3_crime_id = 1
GROUP BY fk5_location_id;
You want to use join to lookup the location name. The query would probably look like this:
SELECT ld.location_name, COUNT(cf.fk3_crime_id) as TOTAL_ANTISOCIAL_CRIMES
from CRIME_FACT cf join
LOCATION_DIM ld
on cf.fk5_location_id = ld.location_id
WHERE cf.fk1_time_id = 3 AND cf.fk3_crime_id = 1
GROUP BY ld.location_name;
You need to put in the right column names for ld.location_name and ld.location_id.
you need to find a relationship between the two tables to link a location to crime. that way you could use a "join" and select the fields from each table you are interested in.
I suggest taking a step back and reading up on the fundamentals of relational databases. There are many good books out there which is the perfect place to start.