I am having troubles to insert correct data into my tables. I have tables as below:
Here are tables with data:
• Theatre(Theatre#, Name)
• Trow(TR#, RowName, RowType, Theatre#)
• Tseat(TS#, SeatNo, TR#)
• Season(Season#, SeasonName, Year)
• Production(P#, Season#, Title)
• ProductionRun(P#, Theatre#)
• Performance(Per#, P#, Theatre#,Weekday)
• Client(Client#,name )
• TicketPurchase(Purchase#, Client#, Per#,TotalAmount, TS#)
My tables are for example as below:
• ProductionMy(P#,Title)
Into this table I would like to insert columns P# and Title from table Production and to insert only rows where column Per# from table Performance matches column Per# in table TicketPurchase
Another table for example is :
• TimeID(TimeID,Month,Year,Weekday,SeasonName)
I would need to insert unique instances of time from table Performance and SeasonName from Season table based on criteria if Per# in Performance table and Per# in TicketPurchase table matches. I tried for example below with no success:
insert into time select time_seq.nextval,month,year,weekday,SeasonNAme from
(select distinct
extract(month from pDate) month,
extract(year from pDate) year,
Weekday,
SeasonName
from Performance, Season);
Or another example .I have table:
TRowMY(TR#,RowType)
I would like to insert here data from RowType,TR# columns in RowType table based on the criteria that TS# column in TicketPurchase table matches TS# column in TSeat table.
Or another example, my table:
ClientMy(Client#,Name)
I want to insert columns Client#,Name from column Client only when Client# in Client table matches CLient# in TicketPurchase table.
Basically I need to insert data that has been involved in ticket sales as not all performance, seasons, or productions/clients that are in tables are in the TicketPurchase table.
I really stuck in here, please could you at least help me with some tables, so that I will have idea who to deal with rest, please.
Hope i have explained this well...
Regards,
I believe you are looking for something like this.
INSERT INTO ClientMy(id, name)
SELECT Client#,Name FROM Client AS C1 WHERE Client# IN (SELECT Client# FROM
TicketPurchase WHERE Client# = C1.Client#)
Maybe I am wrong, but I think I didn't fully understood what you wanted.
Related
I have a problem I have been working on the past several hours. It is complex (for me) and I don't expect someone to do it for me. I just need the right direction.
Problem: We had the tables (below) added to our database and I need to update them based off of data already in our DailyCosts table. The tricky part is that I need to take DailyCosts.Notes and move it to PurchaseOrder.PoNumber. Notes is where we currenlty have the PONumbers.
I started with the Insert below, testing it out on one WellID. This is Inserting records from our DailyCosts table to the new PurchaseOrder table:
Insert Into PurchaseOrder (PoNumber,WellId,JObID,ID)
Select Distinct Cast(Notes As nvarchar(20)), WellID, JOBID,
DailyCosts.DailyCostID
From DailyCosts
Where WellID = '24A-23'
It affected 1973 rows (The Notes are in Ntext)
However, I need to update the other new tables because we need to see the actual PONumbers in the application.
This next Insert is Inserting records from our DailyCost table and new PurchaseOrder table (from above) to a new table called PurchaseOrderDailyCost
Insert Into PurchaseOrderDailyCost (WellID, JobID, ReportNo, AccountCode, PurchaseOrderID,ID,DailyCostSeqNo, DailyCostID)
Select Distinct DailyCosts.WellID,DailyCosts.JobID,DailyCosts.ReportNo,DailyCosts.AccountCode,
PurchaseOrder.ID,NEWID(),0,DailyCosts.DailyCostID
From DailyCosts join
PurchaseOrder ON DailyCosts.WellID = PurchaseOrder.WellID
Where DailyCosts.WellID = '24A-23'
Unfortunately, this produces 3,892,729 records. The Notes field contains the same list of PONumbers each day. This is by design so that the people inputting the data out in the field can easily track their PO numbers. The new PONumber column that we are moving the Notes to would store just unique POnumbers. I modified the query by replacing NEWID() with DailyCostID and the Join to ON DailyCosts.DailyCostID = PurchaseOrder.ID
This affected 1973 rows the same as the first Insert.
The next Insert looks like this:
Insert Into PurchaseOrderAccount (WellID, JobID, PurchaseOrderID, ID, AccountCode)
Select PurchaseOrder.WellID, PurchaseOrder.JobID, PurchaseOrder.ID, PurchaseOrderDailyCost.DailyCostID,PurchaseOrderDailyCost.AccountCode
From PurchaseOrder Inner Join
PurchaseOrderDailyCost ON PurchaseOrder.ID = PurchaseOrderDailyCost.DailyCostID
Where PurchaseOrder.WellID = '24A-23'
The page in the application now shows the PONumbers in the correct column. Everything looks like I want it to.
Unfortunately, it slows down the application to an unacceptable level. I need to figure out how to either modify my Insert or delete duplicate records. The problem is that there are multiple foreign key constraints. I have some more information below for reference.
This shows the application after the inserts. These are all duplicate records that I am hoping to elminate
Here is some additional information I received from the vendor about the tables:
-- add a new purchase order
INSERT INTO PurchaseOrder
(WellID, JobID, ID, PONumber, Amount, Description)
VALUES ('MyWell', 'MyJob', NEWID(), 'PO444444', 500.0, 'A new Purchase Order')
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to a DailyCost record with SeqNo 0 and AccountCode 'MyAccount'
INSERT INTO PurchaseOrderDailyCost
(WellID, JobID, ReportNo, AccountCode, DailyCostSeqNo, PurchaseOrderID, ID)
VALUES ('MyWell', 'MyJob', 4, 'MyAccount', 0, 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID())
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to an account code 'MyAccount'
-- (i.e. make it choosable from the DailyCost PO-column dropdown for any DailyCost record whose account code is 'MyAccount')
INSERT INTO PurchaseOrderAccount
(WellID, JobID, PurchaseOrderID, ID, AccountCode)
VALUES ('MyWell', 'MyJob', 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID(), 'MyAccount')
-- link a purchase order with id 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3' to an AFE No. 'MyAFENo'
-- (same behavior as with the account codes above)
INSERT INTO PurchaseOrderAFE
(WellID, JobID, PurchaseOrderID, ID, AFENo)
VALUES ('MyWell', 'MyJob', 'A356FBF4-A19B-4466-9E5C-20C5FD0E95C3', NEWID(), 'MyAFENo')
So it turns out I missed some simple joining principles. The better I get the more silly mistakes I seem to make. Basically, on my very first insert, I did not include a Group By. Adding this took my INSERT from 1973 to 93. Then on my next insert, I joined DailyCosts.Notes on PurchaseOrder.PONumber since these are the only records from DailyCosts I needed. This was previously INSERT 2 on my question. From there basically, everything came together. Two steps forward an one step back. Thanks to everyone that responded to this.
Say I have two customer tables which have pretty much the same columns. One of them is a temporal one which periodically updates the other one. That is, updates and additions to the records are done to the temporal table only. Say they're names are CUSTOMER, and CUSTOMER_TEMP.
The tables got information like ID, NAME, LAST_NAME, and ADDRESS.
This temporal table has three extra fields, TEMP_ID, RECORD_TYPE, and DATE. The record type is used to record whether there was an addition or an update. So the thing is I need to select the latest record from both tables. That involves several cases
Main table has record, but temporal doesn't -> Select main table record.
Main table has no record, but temporal does -> Select latest temporal table record.
Main table has record and temporal has an add record -> Select temporal table record.
Main table has record and temporal table has update record -> Select temporal table record.
Main table has record and temporal table has add and update record. -> Select temporal table update record.
Main table has record and temporal table has various update records. -> Select latest temporal table update record.
Main table has record and temporal table has add record and various update records. -> Select latest temporal table update record.
Now, I don't know whether this is a good flow or not. I was just told to make the query, so I don't have access to the DB, I believe I could make suggestions though. The thing is My SLQ knowledge is not enough to build this query. I know there's an INNER_JOIN involved, as well as a filter by date, and probably and EXIST, to check whether the record exist or not in the CUSTOMER_TEMP table. But I don't quite know how to build it. I'm working on .Net And SQLServer. Any help on it is quite appreciated.
select m.*, 0 as [rn]
from main m
where not exists (select 1 from temp where temp.id = m.id)
union
select tt.*
from ( select temp.*
, row_number() over (partition by id order by RECORD_TYPE desc, date desc) as rn
from temp
-- join main
-- on temp.ID = main.ID
) tt
where tt.rn = 1
if update does not sort last then need to do a trick like in the answer from Tom H
;WITH CTE_Latest_Temporal AS
(
SELECT
id,
name,
..., -- Put the rest of your columns here
ROW_NUMBER OVER (PARTITION BY id
ORDER BY
CASE record_type
WHEN 'Update' THEN 0
ELSE 1
END, date DESC) AS row_num
FROM
Customer_Temp
)
SELECT
M.id,
CASE WHEN T.id IS NOT NULL THEN T.name ELSE M.name END AS name,
... -- Similar CASE statements for the rest of your columns
FROM
Customer M
LEFT OUTER JOIN CTE_Latest_Temporal T ON
T.id = M.id AND
T.row_num = 1
The CASE statements can be replaced by a simple COALESCE(T.column, M.column) for any columns that cannot be NULL. I had to use the CASE to cover situations where the row might exist in the temp table but the column might be NULL in the temp table, but have a value in the main table.
I'm trying to insert distinct values from one table into another. My target table has a primary key studentid and when I perform distinct id from source to target the load is successful. When I'm trying to load a bunch of columns from source to target including student_id, I'm getting an error unique constraint violated. There is only one constraint on target which is the primary key on studentid.
my query looks like this (just an example)
insert into target(studentid, age, schoolyear)
select distinct id, age, 2012 from source
Why does the above query returns an error where as the below query works perfectly fine
insert into target(studentid)
select distinct id from source
help me troubleshoot this.
Thanks for your time.
In your first query you are selecting for distinct combination of three columns ie,
select distinct id, age, 2012 from source
Not the distinct id alone. In such case there are possibility for duplicate id's.
For example, Your above query is valid for this
id age
1 23
1 24
1 25
2 23
3 23
But in your second query you are selecting only distinct id's
select distinct id from source
So this will return like,
id
1
2
3
In this case there is no way for duplicates and your insert into target will not
fail.
If you really want to do bulk insert with constrain on target then go for
any aggregate functions
select id, max(age), max(2012) group by id from source
Or if you dont want to loose any records from source to target then remove your constraint on target and insert it.
Hope this helps
I have a table with a certain number of columns and a primary key column (suppose OriginalKey). I perform a GROUP BY on a certain sub-set of those columns and store them in a temporary table with primary key (suppose GroupKey). At a later stage, I may need to get more details about one or more of those groupings (which can be found in the temporary table) i.e. I need to know which were the rows from the original table that formed that group. Simply put, I need to know the mappings between GroupKey and OriginalKey. What's the best way to do this? Thanks in advance.
Example:
Table Student(
StudentID INT PRIMARY KEY,
Level INT, --Grade/Class/Level depending on which country you are from)
HomeTown TEXT,
Gender CHAR)
INSERT INTO TempTable SELECT HomeTown, Gender, COUNT(*) AS NumStudents FROM Student GROUP BY HomeTown, Gender
On a later date, I would like to find out details about all towns that have more than 50 male students and know details of every one of them.
How about joining the 2 tables using the GroupKey, which, you say, are the same?
Or how about doing:
select * from OriginalTable where
GroupKey in (select GroupKey from my_temp_table)
You'd need to store the fields you grouped on in your temporary table, so you can join back to the original table. e.g. if you grouped on fieldA, fieldB, and fieldC, you'd need something like:
select original.id
from original
inner join temptable on
temptable.fieldA = original.fieldA and
temptable.fieldB = original.fieldB and
temptable.fieldC = original.fieldC
I'm trying to normalize a mysql database....
I currently have a table that contains 11 columns for "categories". The first column is a user_id and the other 10 are category_id_1 - category_id_10. Some rows may only contain a category_id up to category_id_1 and the rest might be NULL.
I then have a table that has 2 columns, user_id and category_id...
What is the best way to transfer all of the data into separate rows in table 2 without adding a row for columns that are NULL in table 1?
thanks!
You can create a single query to do all the work, it just takes a bit of copy and pasting, and adjusting the column name:
INSERT INTO table2
SELECT * FROM (
SELECT user_id, category_id_1 AS category_id FROM table1
UNION ALL
SELECT user_id, category_id_2 FROM table1
UNION ALL
SELECT user_id, category_id_3 FROM table1
) AS T
WHERE category_id IS NOT NULL;
Since you only have to do this 10 times, and you can throw the code away when you are finished, I would think that this is the easiest way.
One table for users:
users(id, name, username, etc)
One for categories:
categories(id, category_name)
One to link the two, including any extra information you might want on that join.
categories_users(user_id, category_id)
-- or with extra information --
categories_users(user_id, category_id, date_created, notes)
To transfer the data across to the link table would be a case of writing a series of SQL INSERT statements. There's probably some awesome way to do it in one go, but since there's only 11 categories, just copy-and-paste IMO:
INSERT INTO categories_users
SELECT user_id, 1
FROM old_categories
WHERE category_1 IS NOT NULL