I need to generate 10 business reports based on the following tables and I'm having some troubles. I know I do not have enough for 10 reports yet, but I am having troubles starting.
CARE_CENTER
Care Center ID|Care Center Name |Care Center Address |Nurse In Charge
------------------+--------------------------+-----------------------------------+--------------------
11111 |Centers Health Care |4770 White Plains Rd, Bronx, NY |Nurse Johnson
22222 |Bronx Urgent Care |1733 E 174th Street, Bronx, NY |Nurse Robinson
33333 |BronxCare Special Care Center|1265 Fulton Avenue, Bronx, NY |Nurse Jones
44444 |Gold Crest Care Center |2316 Bruner Avenue, Bronx, NY |Nurse Gonzalez
55555 |Regeis Care Center |3200 Baychester Avenue, Bronx, NY |Nurse Waterman
66666 |MedCarePlus |1643 Westchester Avenue, Bronx, NY |Nurse Connor
77777 |ArchCare Senior Center |900 Intervale, Avenue, Bronx, NY |Nurse Rodriguez
88888 |Bronx Center for Rehab |1010 Underhill Avenu, Bronx, NY |Nurse Morales
VISIT_CARE_CENTER
Patient ID|Visit Number|Care Center ID
-------------+-----------------+-----------------
1122 |78945 |11111
2233 |89123 |22222
3344 |91456 |33333
4455 |64981 |44444
5566 |12065 |55555
6677 |98106 |66666
7788 |40169 |77777
8899 |26013 |88888
Volunteer_Assigned_Care_Center
Volunteer ID|Care Center ID
----------------+------------------
12333 |11111
23444 |22222
34555 |33333
45666 |44444
56777 |55555
67888 |66666
78999 |77777
89000 |88888
VOLUNTEER
Volunteer ID|Interest ID
---------------+-------------
12333 |00001
23444 |00002
34555 |00003
45666 |00004
56777 |00005
67888 |00006
78999 |00007
89000 |00008
INTEREST
Interest ID|Interest Description
--------------+--------------------
00001 |Organzing
00002 |Coordinating
00003 |Daily Activites
00004 |Assisting with fundraising
00005 |Planning Special Events
00006 |Feeding Patients
00007 |Cleaning Social Rooms
00008 |Caring for Visitors
I need to generate a report that shows the Care centers and the volunteer relationships.
How would I write the SQL query to generate this report based on the above table structure?
You basically need a join first
Select c.CareCenterID,
c.CareCenterName,
c.CareCenterAddress,
c.NurseInCharge, v.VolunteerID,
i.InterestID, i.InterestDescription
From
CARE_CENTER c
Join
Volunteer_Assigned_Care_Center va
On
c.CareCenterID =va.CareCenterID
Join
VOLUNTEER v
On va.VOLUNTEERId=
v.VOLUNTEERId
Join
Interest i
v.InterestId=i.InterestId
Related
Hello Everyone I have a problem…
Table 1 (sorted) is laid out like this:
User ID Producer ID Company Number
JWROSE 23401 234
KXPEAR 23903 239
LMWEEM 27902 279
KJMORS 18301 183
Table 2 (unsorted) looks like this:
Client Name City Company Number
Rajat Smith London JWROSE
Robert Singh Cleveland KXPEAR
Alberto Johnson New York City LMWEEM
Betty Lee Dallas KJMORS
Chase Galvez Houston 23401
Hassan Jackson Seattle 23903
Tooti Fruity Boise 27902
Joe Trump Tokyo 18301
Donald Biden Cairo 234
Mike Harris Rome 239
Kamala Pence Moscow 279
Adolf Washington Bangkok 183
Now… Table 1 has all of the User IDs and Producer IDs properly rowed with the Company Number.
I want to pull all the data and correctly sorted….
Client Name City User ID Producer ID Company Number
Rajat Smith London JWROSE 23401 234
Robert Singh Cleveland KXPEAR 23903 239
Alberto Johnson New York City LMWEEM 27902 279
Betty Lee Dallas KJMORS 18301 183
Chase Galvez Houston JWROSE 23401 234
Hassan Jackson Seattle KXPEAR 23903 239
Tooti Fruity Boise LMWEEM 27902 279
Joe Trump Tokyo KJMORS 18301 183
Donald Biden Cairo JWROSE 23401 234
Mike Harris Rome KXPEAR 23903 239
Kamala Pence Moscow LMWEEM 27902 279
Adolf Washington Bangkok KJMORS 18301 183
Query:
Select
b.client_name,
b.city.,
a.user_id,
a.producer_id,
a.company_number
From Table 1 A
Left Join Table 2 B On a.company….
And this is where I don’t know what do to….because both tables have all the same variables, but Company Number in Table 2 is mixed with User IDs and Producer IDs... however we know what company Number those ID's are associated to.
As I mention in the comments, and others do, the real problem is your design. "The fact that UserID is clearly a varchar, while the other 2 columns are an int really does not make this any better", and makes this not simple (and certainly not SARGable).
To get the data in the correct order, as well, you need a column to order it on which the data lacks. I have therefore added a pseudo column, MissingIDColumn, to represent this missing column you need to add to your data; which you can do when you fix the design:
SELECT T2.ClientName,
T2.City,
T1.UserID,
T1.ProducerID,
T1.CompanyNumber
FROM (VALUES('JWROSE',23401,234),
('KXPEAR',23903,239),
('LMWEEM',27902,279),
('KJMORS',18301,183))T1(UserID,ProducerID,CompanyNumber)
JOIN (VALUES(1,'Rajat Smith ','London ','JWROSE'),
(2,'Robert Singh ','Cleveland ','KXPEAR'),
(3,'Alberto Johnson ','New York City','LMWEEM'),
(4,'Betty Lee ','Dallas ','KJMORS'),
(5,'Chase Galvez ','Houston ','23401'),
(6,'Hassan Jackson ','Seattle ','23903'),
(7,'Tooti Fruity ','Boise ','27902'),
(8,'Joe Trump ','Tokyo ','18301'),
(9,'Donald Biden ','Cairo ','234'),
(10,'Mike Harris ','Rome ','239'),
(11,'Kamala Pence ','Moscow ','279'),
(12,'Adolf Washington','Bangkok ','183'))T2(MissingIDColumn,ClientName,City,CompanyNumber) ON T2.CompanyNumber IN (T1.UserID,CONVERT(varchar(6),T1.ProducerID),CONVERT(varchar(6),T1.CompanyNumber))
ORDER BY MissingIDColumn;
I have a SQL table consisting of names, addresses and some associated numerical data paired with a code. The table is structured such that each number-code pair has its own row with redundant address info. abbreviated version below, let's call it tblPeopleData
Name Address ArbitraryCode ArbitraryData
----------------------------------------------------------------------------
John Adams 45 Main St, Rochester NY a 111
John Adams 45 Main St, Rochester NY a 231
John Adams 45 Main St, Rochester NY a 123
John Adams 45 Main St, Rochester NY b 111
John Adams 45 Main St, Rochester NY c 111
John Adams 45 Main St, Rochester NY d 123
John Adams 45 Main St, Rochester NY d 124
Jane McArthur 12 1st Ave, Chicago IL a 111
Jane McArthur 12 1st Ave, Chicago IL a 231
Jane McArthur 12 1st Ave, Chicago IL a 123
Jane McArthur 12 1st Ave, Chicago IL b 111
Jane McArthur 12 1st Ave, Chicago IL c 111
Jane McArthur 12 1st Ave, Chicago IL e 123
Jane McArthur 12 1st Ave, Chicago IL e 124
My problem is that this table is absolutely massive (~10 million rows) and I'm trying to split it up to make traversal less staggeringly sluggish.
What I've done so far is to make a table of just addresses, using something like:
SELECT DISTINCT Address FROM tblPeopleData (etc.)
Leaving me with:
Name Address
------------------------------------------
John Adams 45 Main St, Rochester NY
Jane McArthur 12 1st Ave, Chicago IL
...just a list of addresses. I want to be able to look up each address and see which names reside at that address, so I assigned each address a UniqueID, such that now I have (this table is around ~500,000 rows in my dataset):
Name Address AddressID
--------------------------------------------------------
John Adams 45 Main St, Rochester NY 000001
Jane McArthur 12 1st Ave, Chicago IL 000002
In order to be able to look up people by address though, I need this AddressID field added to tblPeopleData, such that each address in tblPeopleData is associated with its AddressID and this is added to every row, such that I would have:
Name Address ArbitraryCode ArbitraryData AddressID
----------------------------------------------------------------------------------------
John Adams 45 Main St, Rochester NY a 111 00001
John Adams 45 Main St, Rochester NY a 231 00001
John Adams 45 Main St, Rochester NY a 123 00001
John Adams 45 Main St, Rochester NY b 111 00001
John Adams 45 Main St, Rochester NY c 111 00001
John Adams 45 Main St, Rochester NY d 123 00001
John Adams 45 Main St, Rochester NY d 124 00001
Jane McArthur 12 1st Ave, Chicago IL a 111 00002
Jane McArthur 12 1st Ave, Chicago IL a 231 00002
Jane McArthur 12 1st Ave, Chicago IL a 123 00002
Jane McArthur 12 1st Ave, Chicago IL b 111 00002
Jane McArthur 12 1st Ave, Chicago IL c 111 00002
Jane McArthur 12 1st Ave, Chicago IL e 123 00002
Jane McArthur 12 1st Ave, Chicago IL e 124 00002
How do I make this jump from having UniqueIDs for AddressID in my unique addresses table, to adding these all to each row with a corresponding address back in my tbPeopleData?
Just backfill the calculated AddressID back to tblPeopleData - you can combine an UPDATE with a FROM (like you would do in a select)
UPDATE tblPeopleData
SET AddressID = a.AddressID
FROM tblPeopleData pd
INNER JOIN tblAddressData a
ON pd.Address = a.Address
You would alter the table to have the address id:
alter table tblPeopleData add AddressId int references Address(AddressId);
Then you can update the value using a JOIN:
update tblPeopleData pd JOIN
Address a
ON pd.Address = a.Address
pd.AddressId = a.AddressId;
You will definitely want an index on Address(Address) for this.
Then, you can drop the old column:
alter table drop column Address;
Note:
It might be faster to save the results in a temporary table, because the update is going to generate lots and lots of log records. For this, truncate the original table, and re-load the data:
SELECT . . . , a.AddressId
INTO tmp_tblPeopleData
FROM tblPeopleData pd JOIN
Address a
ON pd.Address = a.Address;
TRUNCATE TABLE tblPeopleData;
INSERT INTO tblPeopleData( . . .)
SELECT . . .
FROM tmp_tblPeopleData;
![Cognost reports studio Query Explorer]
Below is the snapshot of a table.
**Acctno ClientNo ClientName PrimaryOffId SecondaryOffID**
101 11111 ABC corp 3 Not Defined
102 11116 XYZ Inc 5 Not Defined
103 11113 PQRS Corp 2 9
104 55555 Food LLC 4 11
105 99999 Kwlg Co 1 Not Defined
106 99999 Kwlg Co 1 Not Defined
107 11112 LMN Corp Not Defined 6
108 11112 LMN Corp Not Defined 6
109 11115 Sleep Co 4 10
110 44444 Cool Co Not Defined 8
111 11114 Sail LLC 3 Not Defined
112 66666 Fun Inc 1 Not Defined
113 88888 Job LLC 5 12
114 22222 Acc Co Not Defined Not Defined
115 77777 Good Corp 2 Not Defined
116 33333 City LLC Not Defined 7
117 33333 City LLC Not Defined 7
118 33333 City LLC Not Defined 7
119 11111 ABC corp 3 Not Defined
I want to replace PrimaryOffID and SecondaryOffID with their Names coming from this table
EmpID Names
1 Cathy
2 Chris
3 John
4 Kevin
5 Mark
6 Celine
7 Jane
8 Phil
9 Jess
10 Jose
11 Nick
12 Rosy
The Result should look like this: Notice that, If Cathy is the PrimaryOfficer, she can't be the Secondary Officer and vice versa. This logic is applicable for all the Names
Acctno ClientNo Client Name PrimOffName SecondaryOffName
101 11111 ABC corp John Not Defined
102 11116 XYZ Inc Mark Not Defined
103 11113 PQRS Corp Chris Jess
104 55555 Food LLC Kevin Nick
105 99999 Kwlg Co Cathy Not Defined
106 99999 Kwlg Co Cathy Not Defined
107 11112 LMN Corp Not Defined Celine
108 11112 LMN Corp Not Defined Celine
109 11115 Sleep Co Kevin Jose
110 44444 Cool Co Not Defined Phil
111 11114 Sail LLC John Not Defined
112 66666 Fun Inc Cathy Not Defined
113 88888 Job LLC Mark Rosy
114 22222 Acc Co Not Defined Not Defined
115 77777 Good Corp Chris Not Defined
116 33333 City LLC Not Defined Jane
117 33333 City LLC Not Defined Jane
118 33333 City LLC Not Defined Jane
119 11111 ABC corp John Not Defined
But Instead it looks like this:
Acctno ClientNo ClientName PrimOffName SecondaryOffName
101 11111 ABC corp John Not Defined
102 11116 XYZ Inc Mark Not Defined
103 11113 PQRS Corp Chris Not Defined
103 11113 PQRS Corp Not Defined Jess
104 55555 Food LLC Kevin Not Defined
104 55555 Food LLC Not Defined Nick
105 99999 Kwlg Co Cathy Not Defined
106 99999 Kwlg Co Cathy Not Defined
107 11112 LMN Corp Not Defined Celine
108 11112 LMN Corp Not Defined Celine
109 11115 Sleep Co Kevin Not Defined
109 11115 Sleep Co Not Defined Jose
110 44444 Cool Co Not Defined Phil
111 11114 Sail LLC John Not Defined
112 66666 Fun Inc Cathy Not Defined
113 88888 Job LLC Mark Not Defined
113 88888 Job LLC Not Defined Rosy
114 22222 Acc Co Not Defined Not Defined
115 77777 Good Corp Chris Not Defined
116 33333 City LLC Not Defined jane
117 33333 City LLC Not Defined jane
118 33333 City LLC Not Defined jane
119 11111 ABC corp John Not Defined
Notice that, now the Acctno is no more unique, Where ever the Names should have been in both the fields together, it separates and gives the output in the next row creating multiple records. i tried various options but it didn't work. Please be aware, that I am creating this report in Cognos Studio. Please suggest the possible query to get the desired result. Thanks in Advance. Appreciate your help.
You don't state which version of Cognos you're using. "Cognos Studio" is ambiguous. I'm most familiar with 8.4.1, but even then you don't say if you're trying to define this in the Cognos model, Query Studio, Event Studio or Report Studio.
Second, you should always show what you've got so far when asking questions on StackOverflow. People want to see what you have done to show you want to fix, not repeat the lion's share of the work. That's why you got downvotes.
As far as plain SQL, you'll want to do this:
SELECT a.Acctno, a.ClientNo, a.ClientName, coalesce(e1.Names,'Not Defined') "PrimaryOffName", coalesce(e2.Names,'Not Defined') "SecondaryOffName"
FROM Account a
LEFT OUTER JOIN Emp e1
ON t.PrimaryOffID = e1.EmpID
LEFT OUTER JOIN Emp e2
ON t.PrimaryOffID = e2.EmpID
I made up table names. You can do this in Report Studio by creating two queries for Emp and outer joining them in succession to the Account query.
If you're able to, you'll want to move the OffID fields to a separate juntion table and remove them from the Account table. You can then create a Status field or flag in that junction table that identifies primary and secondary.
I am having a problem trying to get Nintex to group by and send out an update email to that group.
In short I have a list with two fields, primary contact and who their account is. I want a workflow that will group all the accounts listed to the individual contact and send out an email monthly to that individual for them to if they still cover their accounts… I’m new to Nintex and tried a few things and was not able to get them to group together. Any ideas?
Here is an example of the data:
Customer Account # Sales Rep
Dons Bakery 121 Dave Williams
Dons Bakery 131 Dave Williams
Dons Bakery 140 Dave Williams
Dons Bakery 201 Dave Williams
Spa West 500 Mario Davis
Spa West 501 Mario Davis
Spa West 800 Mario Davis
Spa West 1512 Mario Davis
Spa West 1800 Mario Davis
Spa West 1801 Mario Davis
Spa West 1802 Mario Davis
Spa West 1854 Mario Davis
Spa West 1895 Mario Davis
Spa West 1900 Mario Davis
Spa West 20000 Mario Davis
Atlantic 100 Janet Rogers
Atlantic 150 Janet Rogers
Atlantic 151 Janet Rogers
Atlantic 168 Janet Rogers
Atlantic 175 Janet Rogers
Atlantic 2 Janet Rogers
As you can each account number is unique ( no rhyme or reason to the numbers), and each sales rep only serves one customer. My goal is at the end of month to send out an email to say Fave Williams, and ask him to confirm that those account numbers are still accurate ( they have a tendency to change) and still corresponds to those sales reps.
Figured it out, need to use Query List
Here is a great example:
http://thijsdeschepper.be/?p=854
I don't understand what this order_by clause is doing and whether I need it or not:
select c.customerid, c.firstname, c.lastname, i.order_date, i.item, i.price from
items_ordered i, customers c
where i.customerid = c.customerid
group by c.customerid, i.item, i.order_date
order by i.order_date desc;
This produces this data:
10330 Shawn Dalton 30-Jun-1999 Pogo stick 28.00
10101 John Gray 30-Jun-1999 Raft 58.00
10410 Mary Ann Howell 30-Jan-2000 Unicycle 192.50
10101 John Gray 30-Dec-1999 Hoola Hoop 14.75
10449 Isabela Moore 29-Feb-2000 Flashlight 4.50
10410 Mary Ann Howell 28-Oct-1999 Sleeping Bag 89.22
10339 Anthony Sanchez 27-Jul-1999 Umbrella 4.50
10449 Isabela Moore 22-Dec-1999 Canoe 280.00
10298 Leroy Brown 19-Sep-1999 Lantern 29.00
10449 Isabela Moore 19-Mar-2000 Canoe paddle 40.00
10413 Donald Davids 19-Jan-2000 Lawnchair 32.00
10330 Shawn Dalton 19-Apr-2000 Shovel 16.75
10439 Conrad Giles 18-Sep-1999 Tent 88.00
10298 Leroy Brown 18-Mar-2000 Pocket Knife 22.38
10299 Elroy Keller 18-Jan-2000 Inflatable Mattress 38.00
10438 Kevin Smith 18-Jan-2000 Tent 79.99
10101 John Gray 18-Aug-1999 Rain Coat 18.30
10449 Isabela Moore 15-Dec-1999 Bicycle 380.50
10439 Conrad Giles 14-Aug-1999 Ski Poles 25.50
10449 Isabela Moore 13-Aug-1999 Unicycle 180.79
10101 John Gray 08-Mar-2000 Sleeping Bag 88.70
10299 Elroy Keller 06-Jul-1999 Parachute 1250.00
10438 Kevin Smith 02-Nov-1999 Pillow 8.50
10101 John Gray 02-Jan-2000 Lantern 16.00
10315 Lisa Jones 02-Feb-2000 Compass 8.00
10449 Isabela Moore 01-Sep-1999 Snow Shoes 45.00
10438 Kevin Smith 01-Nov-1999 Umbrella 6.75
10298 Leroy Brown 01-Jul-1999 Skateboard 33.00
10101 John Gray 01-Jul-1999 Life Vest 125.00
10330 Shawn Dalton 01-Jan-2000 Flashlight 28.00
10298 Leroy Brown 01-Dec-1999 Helmet 22.00
10298 Leroy Brown 01-Apr-2000 Ear Muffs 12.50
While if I remove the order_by clause completely, as in this query:
select c.customerid, c.firstname, c.lastname, i.order_date, i.item, i.price from
items_ordered i, customers c
where i.customerid = c.customerid
group by c.customerid, i.item, i.order_date;
I get these results:
10101 John Gray 30-Dec-1999 Hoola Hoop 14.75
10101 John Gray 02-Jan-2000 Lantern 16.00
10101 John Gray 01-Jul-1999 Life Vest 125.00
10101 John Gray 30-Jun-1999 Raft 58.00
10101 John Gray 18-Aug-1999 Rain Coat 18.30
10101 John Gray 08-Mar-2000 Sleeping Bag 88.70
10298 Leroy Brown 01-Apr-2000 Ear Muffs 12.50
10298 Leroy Brown 01-Dec-1999 Helmet 22.00
10298 Leroy Brown 19-Sep-1999 Lantern 29.00
10298 Leroy Brown 18-Mar-2000 Pocket Knife 22.38
10298 Leroy Brown 01-Jul-1999 Skateboard 33.00
10299 Elroy Keller 18-Jan-2000 Inflatable Mattress 38.00
10299 Elroy Keller 06-Jul-1999 Parachute 1250.00
10315 Lisa Jones 02-Feb-2000 Compass 8.00
10330 Shawn Dalton 01-Jan-2000 Flashlight 28.00
10330 Shawn Dalton 30-Jun-1999 Pogo stick 28.00
10330 Shawn Dalton 19-Apr-2000 Shovel 16.75
10339 Anthony Sanchez 27-Jul-1999 Umbrella 4.50
10410 Mary Ann Howell 28-Oct-1999 Sleeping Bag 89.22
10410 Mary Ann Howell 30-Jan-2000 Unicycle 192.50
10413 Donald Davids 19-Jan-2000 Lawnchair 32.00
10438 Kevin Smith 02-Nov-1999 Pillow 8.50
10438 Kevin Smith 18-Jan-2000 Tent 79.99
10438 Kevin Smith 01-Nov-1999 Umbrella 6.75
10439 Conrad Giles 14-Aug-1999 Ski Poles 25.50
10439 Conrad Giles 18-Sep-1999 Tent 88.00
10449 Isabela Moore 15-Dec-1999 Bicycle 380.50
10449 Isabela Moore 22-Dec-1999 Canoe 280.00
10449 Isabela Moore 19-Mar-2000 Canoe paddle 40.00
10449 Isabela Moore 29-Feb-2000 Flashlight 4.50
10449 Isabela Moore 01-Sep-1999 Snow Shoes 45.00
10449 Isabela Moore 13-Aug-1999 Unicycle 180.79
I'm not sure what the order_by is doing here and if it's having the intended effects.
It looks like it is ordering on i.ordered_date, but using string comparison rather than date comparison, which is why 30-Jun-1999 is placed before 29-Feb-2000. As a string "30-Jun-1999" > "28-Feb-2000", but as dates, the reverse is true.
Check the type of i.ordered_date in the items_ordered table - it should be datetime or similar - if it's varchar, then you will need to either change it to a date type, or cast the value to a date in the order-by clause. E.g.
order by CAST(i.order_date AS DATE) desc
You should always use proper DATETIME datatype to store dates