Joining SQL statements Atrium Syntess Firebird DB - sql

I'm trying to get (one or multiple) number lines (PROGCODE) that are attached to an OBJECT (i.e. a building) that is connected to a Relation which in turn has a GC_ID (relation unique ID). I need all the buildings & progcodes connected to a relation ID in a firebird 2.5 database generated by my companies ERP system.
I can look through all the tables in the firebird database and run select queries on them.I like to think I have the join statement syntax down and I know how to find the unique ID belonging to a relation, unfortunately I'm unsure how I can find the correct table that houses the information I seek.
The table I think this data is in has the following fields:
GC_ID, DEVICE_GC_ID, USER_GC_ID, CODE, DESCRIPTION.
However when I query it using
select GC_ID, DEVICE_GC_ID, USER_GC_ID, CODE, DESCRIPTION
from AT_PROGCODE A
Then I get a description of the fields I'm trying to query.
i.e.
| GC_ ID : 100005 | DEVICE_GC_ID : 100174 | USER_GC_ID : 1000073 | DESCRIPTION: >description of what I'm trying to query< |
Can anyone shed some insight how I should handle this?
Update 7-09-2017
I spoke with the ERP consultant and was told the tables I needed (if anyone reading this is using syntess Atrium; the AT_BRENT table holds a description of all the tables.)
However, I've run into a new problem; the data I get from my sql query keeps streaming (it seems to never end with me stopping the script at 90 mil loops and the ERP program crashing if I ask for a count).
select A.GC_OMSCHRIJVING Bedrijf, A.GC_CODE ,M.GC_OMSCHRIJVING Werktitel,
M.TELEFOON1, M.TELEFOON2, M.MOBIEL, M.EMAIL,
M.URL, M.DOORKIES_NR, M.WERKLOCATIE, M.EMAIL_INTERN
from AT_MEDEW M , AT_RELATIE A
JOIN AT_MEDEW ON A.GC_ID = M.GC_ID
WHERE M.TELEFOON1 <> '' OR M.TELEFOON2 <> '' OR M.MOBIEL <> ''
Any ideas on what's the cause for my latest peril?

First I had to find the AT_BRENT table which holds all the descriptions for tables in Syntess Atrium
Then I was using a CROSS JOIN (as pointed out by https://stackoverflow.com/users/696808/bacon-bits )
I ended up using
select A.GC_OMSCHRIJVING Bedrijf, A.GC_CODE ,M.GC_OMSCHRIJVING Werktitel,
M.TELEFOON1, M.TELEFOON2, M.MOBIEL, M.EMAIL,
M.URL, M.DOORKIES_NR, M.WERKLOCATIE, M.EMAIL_INTERN
from AT_MEDEW M
JOIN AT_RELATIE A ON A.GC_ID = M.GC_ID
WHERE M.TELEFOON1 <> '' OR M.TELEFOON2 <> '' OR M.MOBIEL <> ''
Thank you all who helped.

Related

Microsoft SQL Server generates two select queries and puts data in separate columns

I am looking for a query that separate the data with the condition WHERE in the same output but in separates columns.
Example: I have the table Product_2:
I have two separates queries (to separate the products by Produt_Tag):
SELECT
Product_Mark AS "PIT-10_Product_Mark",
Product_Model AS "PIT-10_Product_Model"
FROM Product_2
WHERE Product_Tag = 'PIT-10';
SELECT
Product_Mark AS "PIT-11_Product_Mark",
Product_Model AS "PIT-11_Product_Model"
FROM Product_2
WHERE Product_Tag = 'PIT-11';
And I get this output:
But I need the output to be like this:
Can someone tell me how I need to modify my query to have the four columns in the same table/ output?
Thank you
I forgot to tell that in the data I Have the “Porduct_Mark” that only appears one time. (in reality the data in “Product_Mark” is the name of the place where the instrument is located and one place can have one or two instruments “Product_Model”. At the end I’m looking for the result show in the image here below. I tried to use LEFT JOIN but that don’t work.
here is the new table "Product_2"
Result that I'm looking for:
Luis Ardila
I am assuming Product_PK is the primary key for the table and the repeated value 1002 shown in the question is a mistake. Considering this assumption, you can get the result set using self join as below.
SELECT pa.Product_Mark AS "PIT-10_Product_Mark", pa.Product_Model AS "PIT-10_Product_Model",
pb.Product_Mark AS "PIT-11_Product_Mark", pb.Product_Model AS "PIT-11_Product_Model"
FROM Product_2 pa
INNER JOIN Product_2 pb
ON pa.Product_Mark = pb.Product_Mark
WHERE pa.product_pk != pb.product_pk
and pa.Product_Tag = 'PIT-10'
and pb.Product_Tag = 'PIT-11';
verified same in https://dbfiddle.uk/NiOO8zc1

Defaulting missing data

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.

Ways to Clean-up messy records in sql

I have the following sql data:
ID Company Name Customer Address 1 City State Zip Date
0108500 AAA Test Mish~Sara Newa Claims Chtiana CO 123 06FE0046
0108500 AAA.Test Mish~Sara Newa Claims Chtiana CO 123 06FE0046
1802600 AAA Test Company Ban, Adj.~Gorge PO Box 83 MouLaurel CA 153 09JS0025
1210600 AAA Test Company Biwel~Brce 97kehst ve Jacn CA 153 04JS0190
AAA Test, AAA.Test and AAA Test Company are considered as one company.
Since their data is messy I'm thinking either to do this:
Is there a way to search all the records in the DB wherein it will search the company name with almost the same name then re-name it to the longest name?
In this case, the AAA Test and AAA.Test will be AAA Test Company.
OR Is there a way to filter only record with company name that are almost the same then they can have option to change it?
If there's no way to do it via sql query, what are your suggestions so that we can clean-up the records? There are almost 1 million records in the database and it's hard to clean it up manually.
Thank you in advance.
You could use String matching algorithm like Jaro-Winkler. I've written an SQL version that is used daily to deduplicate People's names that have been typed in differently. It can take awhile but it does work well for the fuzzy match you're looking for.
Something like a self join? || is ANSI SQL concat, some products have a concat function instead.
select *
from tablename t1
join tablename t2 on t1.companyname like '%' || t2.companyname || '%'
Depending on datatype you may have to remove blanks from the t2.companyname, use TRIM(t2.companyname) in that case.
And, as Miguel suggests, use REPLACE to remove commas and dots etc.
Use case-insensitive collation. SOUNDEX can be used etc etc.
I think most Database Servers support Full-Text search ability, and if so there are some functions related to Full-Text search that support Proximity.
for example there is a Near function in SqlServer and here is its documentation https://msdn.microsoft.com/en-us/library/ms142568.aspx
You can do the clean-up in several stages.
Create new columns
Convert everything to upper case, remove punctuation & whitespace, then match on the first 6 to 10 characters (using self join). Assuming your table is called "vendor": add two columns, "status", "dupstr", then update as follows
/** Populate dupstr column for fuzzy match **/
update vendor v
set v.dupstr = left(upper(regex_replace(regex_replace(v.companyname,'.',''),' ','')),6)
;
Identify duplicate records
Add an index on the dupstr column, then do an update like this to identify "good" records:
/** Mark the good duplicates **/
update vendor v
set v.status = 'keep' --indicate keeper record
where
--dupes to clean up
exists ( select 1 from vendor v1 where v.dupstr = v1.dupstr
and v.id != v1.id )
and
( --keeper has longest name
length(v.companyname) =
( select max(length(v2.companyname)) from vendor v2
where v.dupstr = v2.dupstr
)
or
--keeper has latest record (assuming ID is sequential)
v.id =
( select max(v3.id) from vendor v3
where v.dupstr = v3.dupstr
)
)
group by v.dupstr
;
The above SQL can be refined to add "dupe" status to other records , or you can do a separate update.
Clean Up Stragglers
Report any remaining partial matches to be reviewed by a human (i.e. dupe records without a keeper record)
You can use SQL query with SOUDEX of DIFFRENCE
For example:
SELECT DIFFERENCE ('AAA Test','AAA Test Company')
DIFFERENCE returns 0 - 4 ( 4 = almost the same, 0 - totally diffrent)
See also: https://learn.microsoft.com/en-us/sql/t-sql/functions/difference-transact-sql?view=sql-server-2017

SQL returns the unique identifier instead of the value in my Access UNON ALL SQL

So here is my project using MS Access 2010,
I have developed 2 queries to select 2 different reading periods. These queries are called CycleStart and CycleEnd. When I run these 2 queries individually I get expected output results. these 2 queries pull data from tables with a couple lookup fields in them. So the lookup fields use other tables where there are only 2 columns. The next step I use SQL to create a UNION ALL query to bring these 2 cycle queries together for reporting purposes. The problem I run into is that my resulting Union query does not output the same information as the 2 individual cycle queries.
Now the specific issues. My cycle queries have a couple lookup fields referencing another table. For example the Read_Cycle field comes for a table(Read_Cycles) and only has 2 columns, the unique identifer assigned by Access and the Read_Cycle column with the data I enter. When I run the cycle queries the field for Read_Cycle returns the Read_Cycle data as expected, but the union query does not. So here is some structure of my project:
Read_Cycles Table
|ID Col1 | |Cycle_ID Col2|
1 Spring
2 Fall
3 Winter
The data tables behind the CycleStart and the CycleEnd have fields that are lookup values referencing the above described Read_Cycles table.
Query CycleStart and CycleEnd return Spring or fall or winter, which ever value is associated with the record, correctly.
however, the problem I have is that the Union SQL Query returns the ID instead of the value, so instead of getting Fall, I get the 2.
Here is my UNION ALL SQL........
SELECT "CycleEnd" AS source,
[CycleEnd].[Recloser_SerialNo],
[CycleEnd].[Read_Date],
[CycleEnd].[3_Phase_Reading],
[CycleEnd].[A_Phase_Reading],
[CycleEnd].[B_Phase_Reading],
[CycleEnd].[C_Phase_Reading],
[CycleEnd].[Read_Cycle],
[CycleEnd].[PoleNo],
[CycleEnd].[Substation],
[CycleEnd].[Feeder],
[CycleEnd].[Feeder_Description],
[CycleEnd].[Recloser_Location]
FROM [CycleEnd]
UNION ALL
SELECT "CycleStart" AS source,
[CycleStart].[Recloser_SerialNo],
[CycleStart].[Read_Date],
[CycleStart].[3_Phase_Reading] * - 1,
[CycleStart].[A_Phase_Reading] * - 1,
[CycleStart].[B_Phase_Reading] * - 1,
[CycleStart].[C_Phase_Reading] * - 1,
[CycleStart].[Read_Cycle],
[CycleStart].[PoleNo],
[CycleStart].[Substation],
[CycleStart].[Feeder],
[CycleStart].[Feeder_Description],
[CycleStart].[Recloser_Location]
FROM [CycleStart];
All other fields are coming across just fine and as expected, I have narrowed it down to only fields that are a lookup in the original tables.
Any help would be greatly appreciated. Also my SQL experience is really limited so example code would help greatly.
UPDATE:
here is the sql from the CycleEnd that works. I got this by building the query then changing to the SQL view...
SELECT Recloser_Readings.Recloser_SerialNo,
Recloser_Readings.Read_Date,
Recloser_Readings.[3_Phase_Reading],
Recloser_Readings.A_Phase_Reading,
Recloser_Readings.B_Phase_Reading,
Recloser_Readings.C_Phase_Reading,
Recloser_Locations.PoleNo,
Recloser_Locations.Substation,
Recloser_Locations.Feeder,
Recloser_Locations.Feeder_Description,
Recloser_Locations.Recloser_Location,
Recloser_Readings.Read_Cycle
FROM (
Recloser_Inventory LEFT JOIN Recloser_Locations
ON Recloser_Inventory.PoleNo = Recloser_Locations.PoleNo
)
RIGHT JOIN Recloser_Readings
ON Recloser_Inventory.Serial_No = Recloser_Readings.Recloser_SerialNo
WHERE (((Recloser_Readings.Read_Cycle) = "8"));
UPDATE#2
I noticed I grabbed the wrong code that references the Read_Cycles table. Here it is...
SELECT Read_Cycles.Cycle_ID, Read_Cycles.ID
FROM Read_Cycles
ORDER BY Read_Cycles.Cycle_ID DESC;
UPDATE : SYNTAX ERROR FROM THE FOLLOWING CODE!!
SELECT "CycleEnd" as source,
[CycleEnd].[Recloser_SerialNo],
[CycleEnd].[Read_Date],
[CycleEnd].[3_Phase_Reading],
[CycleEnd].[A_Phase_Reading],
[CycleEnd].[B_Phase_Reading],
[CycleEnd].[C_Phase_Reading],
[CycleEnd].[Read_Cycle],
[CycleEnd].[PoleNo],
[CycleEnd].[Substation],
[CycleEnd].[Feeder],
[CycleEnd].[Feeder_Description],
[CycleEnd].[Recloser_Location]
FROM [CycleEnd] JOIN [Read_Cycles] ON [CycleEnd].[Read_Cycle] = [Read_Cycles].[ID]
UNION ALL SELECT "CycleStart" as source,
[CycleStart].[Recloser_SerialNo],
[CycleStart].[Read_Date],
[CycleStart].[3_Phase_Reading]*-1,
[CycleStart].[A_Phase_Reading]*-1,
[CycleStart].[B_Phase_Reading]*-1,
[CycleStart].[C_Phase_Reading]*-1,
[CycleStart].[Read_Cycle],
[CycleStart].[PoleNo],
[CycleStart].[Substation],
[CycleStart].[Feeder],
[CycleStart].[Feeder_Description],
[CycleStart].[Recloser_Location]
FROM [CycleStart] JOIN [Read_Cycles] ON [CycleStart].[Read_Cycle] = [Read_Cycles].[ID];

SQL - Getting a column from another table to join this query

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.