Conditional UPDATE for non-related tables in SQLServer 2008 - sql

I'm trying to update historicTable (8k records containing employee data) when 2 IDs match (one company id and the other area id) with the tempTable, which is a temporary table with the data I want to update (SUBG_ROT), else (the column stays empty), it should copy data from colx to coly from the same historic table. I was thinking of a JOIN/INNER JOIN but I can't get the structure at all, so I did a stored procedure with a conditional update, but I can't figure out how to call the temporary table. Any hints on the logic/code are appreciated, I'm starting on SQL Server so I'm kinda clueless.
In my mind the code should do:
Update historicTable set SUBG when h.id1 = t.id1 and h.id2 = t.id2 then h.SUBG = t.SUBG else h.id1 = h.SUBG
And this is the code
CREATE PROCEDURE updateHistoric
AS
UPDATE dbo.historicTable
SET SUBG_ROT = CASE
WHEN id1 = temptable.id1 AND id2 = temptable.id2
THEN SUBG_ROT = temptable.SUBG_ROT
ELSE SUBG_ROT = AREA
END
GO

You can try using OUTER APPLY like follownig.
UPDATE t
SET t.subg_rot = CASE
WHEN o.subg_rot IS NOT NULL THEN o.subg_rot
WHEN t.subg_rot IS null then t.area
ELSE t.subg_rot
END
FROM dbo.historictable t
OUTER APPLY (SELECT TOP 1 subg_rot
FROM temptable t2
WHERE t1.id1 = t2.id1
AND t1.id2 = t2.id2)o
Note: Same thing is also possible using LEFT JOIN or sub queries.

Related

Run second query if first query does not return any results and return

I am trying to keep this to the minimal table queries to ensure less database usage. I am using Microsoft SQL Server Management Server.
I have a query which will sometimes return nothing depending on the user's current status. If this first query does not return any results, I would like the second query to run.
This is inside of a function and requires returning a single row of column data. I will include the queries with names changed for an example. I will do my own optimization after to make a temp table so the database is not accessed as often. I just need to figure out how to make this work first.
-- Query #1
INSERT #tlbReturn (returnInfo1, returnInfo2)
SELECT TOP(1) returnInfo1, returnInfo2
FROM table1 AS t1a
INNER JOIN table1 AS t1b ON t1a.someData1 = t1b.someData1
AND t1a.someData2 = t1b.someData2
AND t1a.someData3 = t1b.someData3
AND t1a.someData4 = t1b.someData4
INNER JOIN table2 AS t2 ON t2.someData6 = t1b.someData7
AND t2.someData8 = t1b.someData9
WHERE t1a.someData10 = 'value'
AND t1b.someData11 IN ('value1', 'value2')
ORDER BY t1b.someDate DESC;
-- Query #2
INSERT #tlbReturn (returnInfo1, returnInfo2)
SELECT TOP(1) returnInfo1, returnInfo2
FROM table1 AS t1a
INNER JOIN table1 AS t1b ON t1a.someData1 = t1b.someData1
AND t1a.someData5 = t1b.someData5
INNER JOIN table2 AS t2 ON t2.someData6 = t1b.someData7
AND t2.someData8 = t1b.someData9
WHERE t1a.someData10 = 'value'
AND t1b.someData11 IN ('value1', 'value2')
ORDER BY t1b.someDate DESC;
In theory I would like something like,
IF EXISTS(QUERY1) THEN RETURN
ELSE RETURN QUERY2
Check the value of ##ROWCOUNT after the first query.
Do a first select, check ##ROWCOUNT and if it's a zero do a second select

single-row subquery returns more than one row in Redshift when I try to use CASE in UPDATE

I am trying to use a case statement with sub query in a Update statement but I am facing an Issue like
single-row sub query returns more than
Please find my Query which I tried
update r_gl.ac
set meeting_cost = case currency_code when 'IND'
then amount
else round(tgt.amount)
from r_gl.ac tgt
join
(
select distinct
a.frm_cur,
a.to_cur,
a.exch_rate
from b_gl.currncy_conv_dim a
join r_gl.ac b
on (a.frm_cur = 123 and a.to_cur = b.cur_cd and f_rate = 'ABC')
join b_gl.int_fg
on b.in_s=c.in_s and a.cal_sk = trunc(c.intact_dt_key,-2)
) src
on tgt.cur_cd=src.to_cur
)
end
Please help me to solve this issue
Your current CASE expression is missing its END. That aside, I see even bigger problems with your UPDATE statement. Redshift is based on an old version of Postgres, and hence I expect that it would adhere to the same syntax Postgres would use for an update join:
UPDATE table1 AS t1
SET some_column = t2.some_other_column
FROM table2 AS t2
WHERE t1.id = t2.id
Applying this syntax to your current query along with the fix for the CASE expression leaves us with the following:
update r_gl.ac tgt
set meeting_cost = case when currency_code = 'IND'
then tgt.amount
else round(tgt.amount) end
from
(
select distinct
a.frm_cur,
a.to_cur,
a.exch_rate
from b_gl.currncy_conv_dim a
inner join r_gl.ac b
on (a.frm_cur = 123 and a.to_cur = b.cur_cd and f_rate = 'ABC')
inner join b_gl.int_fg
on b.in_s=c.in_s and a.cal_sk = trunc(c.intact_dt_key,-2)
) src
where tgt.cur_cd = src.to_cur
The table to which you are joining r_gl.ac has no effect on the data being used to update, but rather would only affect the update by targeting certain rows. If this be not your intended logic, then you might have to rethink the entire query.

Error FROM Clause on update sql (postgres) [duplicate]

Basically, I want to do this:
update vehicles_vehicle v
join shipments_shipment s on v.shipment_id=s.id
set v.price=s.price_per_vehicle;
I'm pretty sure that would work in MySQL (my background), but it doesn't seem to work in postgres. The error I get is:
ERROR: syntax error at or near "join"
LINE 1: update vehicles_vehicle v join shipments_shipment s on v.shi...
^
Surely there's an easy way to do this, but I can't find the proper syntax. So, how would I write this In PostgreSQL?
The UPDATE syntax is:
[ WITH [ RECURSIVE ] with_query [, ...] ]
UPDATE [ ONLY ] table [ [ AS ] alias ]
SET { column = { expression | DEFAULT } |
( column [, ...] ) = ( { expression | DEFAULT } [, ...] ) } [, ...]
[ FROM from_list ]
[ WHERE condition | WHERE CURRENT OF cursor_name ]
[ RETURNING * | output_expression [ [ AS ] output_name ] [, ...] ]
In your case I think you want this:
UPDATE vehicles_vehicle AS v
SET price = s.price_per_vehicle
FROM shipments_shipment AS s
WHERE v.shipment_id = s.id
Or if you need to join on two or more tables:
UPDATE table_1 t1
SET foo = 'new_value'
FROM table_2 t2
JOIN table_3 t3 ON t3.id = t2.t3_id
WHERE
t2.id = t1.t2_id
AND t3.bar = True;
The answer of Mark Byers is the optimal in this situation.
Though in more complex situations you can take the select query that returns rowids and calculated values and attach it to the update query like this:
with t as (
-- Any generic query which returns rowid and corresponding calculated values
select t1.id as rowid, f(t2, t2) as calculatedvalue
from table1 as t1
join table2 as t2 on t2.referenceid = t1.id
)
update table1
set value = t.calculatedvalue
from t
where id = t.rowid
This approach lets you develop and test your select query and in two steps convert it to the update query.
So in your case the result query will be:
with t as (
select v.id as rowid, s.price_per_vehicle as calculatedvalue
from vehicles_vehicle v
join shipments_shipment s on v.shipment_id = s.id
)
update vehicles_vehicle
set price = t.calculatedvalue
from t
where id = t.rowid
Note that column aliases are mandatory otherwise PostgreSQL will complain about the ambiguity of the column names.
Let me explain a little more by my example.
Task: correct info, where abiturients (students about to leave secondary school) have submitted applications to university earlier, than they got school certificates (yes, they got certificates earlier, than they were issued (by certificate date specified). So, we will increase application submit date to fit certificate issue date.
Thus. next MySQL-like statement:
UPDATE applications a
JOIN (
SELECT ap.id, ab.certificate_issued_at
FROM abiturients ab
JOIN applications ap
ON ab.id = ap.abiturient_id
WHERE ap.documents_taken_at::date < ab.certificate_issued_at
) b
ON a.id = b.id
SET a.documents_taken_at = b.certificate_issued_at;
Becomes PostgreSQL-like in such a way
UPDATE applications a
SET documents_taken_at = b.certificate_issued_at -- we can reference joined table here
FROM abiturients b -- joined table
WHERE
a.abiturient_id = b.id AND -- JOIN ON clause
a.documents_taken_at::date < b.certificate_issued_at -- Subquery WHERE
As you can see, original subquery JOIN's ON clause have become one of WHERE conditions, which is conjucted by AND with others, which have been moved from subquery with no changes. And there is no more need to JOIN table with itself (as it was in subquery).
For those actually wanting to do a JOIN you can also use:
UPDATE a
SET price = b_alias.unit_price
FROM a AS a_alias
LEFT JOIN b AS b_alias ON a_alias.b_fk = b_alias.id
WHERE a_alias.unit_name LIKE 'some_value'
AND a.id = a_alias.id;
You can use the a_alias in the SET section on the right of the equals sign if needed.
The fields on the left of the equals sign don't require a table reference as they are deemed to be from the original "a" table.
For those wanting to do a JOIN that updates ONLY the rows your join returns use:
UPDATE a
SET price = b_alias.unit_price
FROM a AS a_alias
LEFT JOIN b AS b_alias ON a_alias.b_fk = b_alias.id
WHERE a_alias.unit_name LIKE 'some_value'
AND a.id = a_alias.id
--the below line is critical for updating ONLY joined rows
AND a.pk_id = a_alias.pk_id;
This was mentioned above but only through a comment..Since it's critical to getting the correct result posting NEW answer that Works
Here we go:
update vehicles_vehicle v
set price=s.price_per_vehicle
from shipments_shipment s
where v.shipment_id=s.id;
Simple as I could make it.
To add something quite important to all the great answers above, when you want to update a join-table, you may have 2 problems:
you cannot use the table you want to update to JOIN another one
Postgres wants a ON clause after the JOIN so you cannot only use where clauses.
This means that basically, the following queries are not valid:
UPDATE join_a_b
SET count = 10
FROM a
JOIN b on b.id = join_a_b.b_id -- Not valid since join_a_b is used here
WHERE a.id = join_a_b.a_id
AND a.name = 'A'
AND b.name = 'B'
UPDATE join_a_b
SET count = 10
FROM a
JOIN b -- Not valid since there is no ON clause
WHERE a.id = join_a_b.a_id
AND b.id = join_a_b.b_id
a.name = 'A'
AND b.name = 'B'
Instead, you must use all the tables in the FROM clause like this:
UPDATE join_a_b
SET count = 10
FROM a, b
WHERE a.id = join_a_b.a_id
AND b.id = join_a_b.b_id
AND a.name = 'A'
AND b.name = 'B'
It might be straightforward for some but I got stuck on this problem wondering what's going on so hopefully, it will help others.
Here's a simple SQL that updates Mid_Name on the Name3 table using the Middle_Name field from Name:
update name3
set mid_name = name.middle_name
from name
where name3.person_id = name.person_id;
The link below has a example that resolve and helps understant better how use update and join with postgres.
UPDATE product
SET net_price = price - price * discount
FROM
product_segment
WHERE
product.segment_id = product_segment.id;
See: http://www.postgresqltutorial.com/postgresql-update-join/
First Table Name: tbl_table1 (tab1).
Second Table Name: tbl_table2 (tab2).
Set the tbl_table1's ac_status column to "INACTIVE"
update common.tbl_table1 as tab1
set ac_status= 'INACTIVE' --tbl_table1's "ac_status"
from common.tbl_table2 as tab2
where tab1.ref_id= '1111111'
and tab2.rel_type= 'CUSTOMER';
To UPDATE one Table using another, in PostGRE SQL / AWS (SQL workbench).
In PostGRE SQL, this is how you need to use joins in UPDATE Query:
UPDATE TABLEA set COLUMN_FROM_TABLEA = COLUMN_FROM_TABLEB FROM TABLEA,TABLEB WHERE FILTER_FROM_TABLEA = FILTER_FROM_TABLEB;
Example:
Update Employees Set Date_Of_Exit = Exit_Date_Recorded , Exit_Flg = 1 From Employees, Employee_Exit_Clearance Where Emp_ID = Exit_Emp_ID
Table A - Employees Columns in Table A - Date_Of_Exit,Emp_ID,Exit_Flg Table B is - Employee_Exit_Clearance Columns in Table B - Exit_Date_Recorded,Exit_Emp_ID
1760 rows affected
Execution time: 29.18s
--goal: update selected columns with join (postgres)--
UPDATE table1 t1
SET column1 = 'data'
FROM table1
RIGHT JOIN table2
ON table2.id = table1.id
WHERE t1.id IN
(SELECT table2.id FROM table2 WHERE table2.column2 = 12345)
The first way is slower than the second way.
First:
DO $$
DECLARE
page int := 10000;
min_id bigint; max_id bigint;
BEGIN
SELECT max(id),min(id) INTO max_id,min_id FROM opportunities;
FOR j IN min_id..max_id BY page LOOP
UPDATE opportunities SET sec_type = 'Unsec'
FROM opportunities AS opp
INNER JOIN accounts AS acc
ON opp.account_id = acc.id
WHERE acc.borrower = true
AND opp.sec_type IS NULL
AND opp.id >= j AND opp.id < j+page;
COMMIT;
END LOOP;
END; $$;
Second:
DO $$
DECLARE
page int := 10000;
min_id bigint; max_id bigint;
BEGIN
SELECT max(id),min(id) INTO max_id,min_id FROM opportunities;
FOR j IN min_id..max_id BY page LOOP
UPDATE opportunities AS opp
SET sec_type = 'Unsec'
FROM accounts AS acc
WHERE opp.account_id = acc.id
AND opp.sec_type IS NULL
AND acc.borrower = true
AND opp.id >= j AND opp.id < j+page;
COMMIT;
END LOOP;
END; $$;
WORKS PERFECT!!!
POSTGRE SQL - UPDATE With a JOIN
BELOW CODE - Check the positioning of columns and IDs as below:
If you place it exactly as below, then only it will work!
---IF you want to update FIRST table
UPDATE table1
SET attribute1 = table2.attribute1
FROM table2
WHERE table2.product_ID = table1.product_ID;
OR
---IF you want to update SECOND table
UPDATE table2
SET attribute1 = table1.attribute1
FROM table1
WHERE table1.product_ID = table2.product_ID;

SQLite inner join - update using values from another table

This is quite easy and has been asked multiple times but I can't get it to work.
The SQL query I think should work is:
UPDATE table2
SET dst.a = dst.a + src.a,
dst.b = dst.b + src.b,
dst.c = dst.c + src.c,
dst.d = dst.d + src.d,
dst.e = dst.e + src.e
FROM table2 AS dst
INNER JOIN table1 AS src
ON dst.f = src.f
Using the update statement it is not possible because in sqlite joins in an update statement are not supported. See docs:
update statement
If you only wanted to update a single column to a static value, you could use a subquery in the update statement correctly. See this example: How do I make an UPDATE while joining tables on SQLite?
Now in your example, making an assumption that there is a unique key on "column f" - a workaround/solution I have come up with is using the replace statement:
replace into table2
(a, b, c, d, e, f, g)
select src.a, src.b, src.c, src.d, src.e, dest.f, dest.g
from table1 src
inner join table2 dest on src.f = dest.f
I also added an extra column to table2 "column g" to show how you'd "update" only some of the columns with this method.
One other thing to be cautious about is if you use "PRAGMA foreign_keys = ON;" it's possible to have issues with this as the row is effectively deleted and inserted.
I came up with an alternative technique using a TRIGGER and "reversing" the direction of the update, albeit at the cost of a dummy field in the source table.
In general terms, you have a Master table and an Updates table. You want to update some/all fields of records in Master from the corresponding fields in Updates linked by a key field Key.
Instead of UPDATE Master SET ... FROM Master INNER JOIN Updates ON Mater.Key = Updates.Key you do the following:
Add a dummy field TriggerField to the Updates table to act as the focus of the trigger.
Create a trigger on this field:
CREATE TRIGGER UpdateTrigger AFTER UPDATE OF TriggerField ON Updates
BEGIN
UPDATE Master SET
Field1 = OLD.Field1,
Field2 = OLD.Field2,
...
WHERE Master.Key = OLD.Key
END;
Launch the update process with the following:
UPDATE Updates SET TriggerField = NULL ;
Notes
The dummy field is merely an anchor for the trigger so that any other UPDATE Updates SET ... won't trigger the update into Master. If you only ever INSERT into Updates then you don't need it (and can remove the OF TriggerField clause when creating the trigger).
From some rough-and-ready timings, this seems to work about the same speed as REPLACE INTO but avoids the feels-slightly-wrong technique of removing and adding rows. It is also simpler if you are only updating a few fields in Master as you only list the ones you want to change.
It is orders of magnitude faster than the other alternative I've seen to UPDATE ... FROM which is:
UPDATE Master SET
Field1 = ( SELECT Field1 FROM Updates WHERE Mater.Key = Updates.Key ),
Field1 = ( SELECT Field1 FROM Updates WHERE Mater.Key = Updates.Key ),
...
;
Updating six fields over 1700 records was roughly 0.05s for Tony and my methods but 2.50s for the UPDATE ... ( SELECT... ) method.
AFTER UPDATE triggers on Master seem to fire as expected.
As Tony says, the solution is the replace into way but you can use the sqlite hidden field rowid to simulate full update with join like:
replace into table2
(rowid,a, b, c, d, e, f, g)
select dest.rowid,src.a, src.b, src.c, src.d, src.e, dest.f, dest.g
from table1 src
inner join table2 dest on src.f = dest.f
With this you recreate full rows if you don't have primary key for the replace or as standard method to do the updates with joins.
SQLITE does not support UPDATE with INNER JOIN nor do several other DB's. Inner Joins are nice and simple however it can be accomplished using just a UPDATE and a subquery select. By using a where clause and the 'IN' with a subquery and a additional subquery for the 'SET' the same result can always be accomplished. Below is how it's done.
UPDATE table2
SET a = a + (select a from table1 where table1.f = table2.f),
b = b + (select b from table1 where table1.f = table2.f),
c = c + (select c from table1 where table1.f = table2.f),
d = d + (select d from table1 where table1.f = table2.f),
e = e + (select e from table1 where table1.f = table2.f)
WHERE RowId IN (Select table2.RowId from table1 where table1.f = table2.f)
Use below query:
UPDATE table2
SET a = Z.a,
b = Z.b,
c = Z.c,
d = Z.d,
e = Z.e
FROM (SELECT dst.id,
dst.a + src.a AS a,
dst.b + src.b AS b,
dst.c + src.c AS c,
dst.d + src.d AS d,
dst.e + src.e AS e
FROM table2 AS dst
INNER JOIN table1 AS src ON dst.f = src.f
)Z
WHERE table2.id = z.id

WHERE NOT EXISTS multiple conditions

How Do I set multiple AND conditions?
ex.
SELECT *
FROM CONFIRMED
WHERE NOT EXISTS
(
SELECT *
FROM Import_Orders
WHERE Import_Orders.Customer = CONFIRMED.Customer
AND Import_Orders.Reference = CONFIRMED.Reference
AND Import_Orders.[Index] = CONFIRMED.[Index]
AND Import_Orders.QuantityToDeliver = CONFIRMED.QuantityToDeliver
AND Import_Orders.DateToDeliver = CONFIRMED.DateToDeliver
);
I know this works on my tables with one WHERE & AND condition but not with several.
I Need a result of two tables where the above conditions do not match. I do not have identical keys in the two tables. Now with this code I get all the results that are in table CONFIRMED.
Here is the syntax for multiple tables:
WHERE NOT EXISTS (...) AND NOT EXISTS (...) AND NOT EXISTS (...)
However, if the database is so large that you care about performance, you'll need a much less obvious syntax along the following lines:
LEFT JOIN Some_Table t ON (t.xxx = Main_Table.xxx)
LEFT JOIN Another_Table t2 ON (t2.xxx = Main_Table.xxx)
LEFT JOIN Yet_Another_Table t3 ON (t3.xxx = Main_Table.xxx)
...
WHERE t.id IS NULL AND t2.id IS NULL AND t3.id IS NULL
For one table and one composed condition, like in the SQL sample in your question:
LEFT JOIN Some_Table t ON
t.xxx = Main_Table.xxx
AND t.yyy = Main_Table.yyy
AND t.zzz = Main_Table.zzz
WHERE t.id IS NULL
This is expected to return rows that exist in Main_Table but do not have matching rows in Some_Table, assuming the columns xxx, etc., are non-nullable.
If, for example, xxx is nullable, here is how you need to modify the query further:
LEFT JOIN Some_Table t ON
(t.xxx = Main_Table.xxx OR (t.xxx IS NULL AND Main_Table.xxx IS NULL))
AND t.yyy = Main_Table.yyy
AND t.zzz = Main_Table.zzz
WHERE t.id IS NULL
I am guessing that you have an ID on Import_Orders, if not use any field name that is turning up empty on the query. You would be better using field names rather than *. I have added an example for Import_Orders.
SELECT CONFIRMED.*, Import_Orders.ID, Import_Orders.Customer
FROM CONFIRMED
LEFT JOIN Import_Orders
ON Import_Orders.Customer = CONFIRMED.Customer
AND Import_Orders.Reference = CONFIRMED.Reference
AND Import_Orders.[Index] = CONFIRMED.[Index]
AND Import_Orders.QuantityToDeliver = CONFIRMED.QuantityToDeliver
AND Import_Orders.DateToDeliver = CONFIRMED.DateToDeliver
WHERE Import_Orders.ID Is Null
More information
Fundamental Microsoft Jet SQL for Access 2000
Intermediate Microsoft Jet SQL for Access 2000
Advanced Microsoft Jet SQL for Access 2000
You could just replace all the "=" with "<>" and you should get all the results that don't have a match on all criteria.
SELECT *
FROM CONFIRMED
WHERE EXISTS
(
SELECT *
FROM Import_Orders
WHERE Import_Orders.Customer <> CONFIRMED.Customer
AND Import_Orders.Reference <> CONFIRMED.Reference
AND Import_Orders.[Index] <> CONFIRMED.[Index]
AND Import_Orders.QuantityToDeliver <> CONFIRMED.QuantityToDeliver
AND Import_Orders.DateToDeliver <> CONFIRMED.DateToDeliver
);