merge sql condition is null issue - sql

I have two very similar SQL statements. On of them work and on not. The SQL error message seems to be misleading. Can you figure it out?
SQL 1 -- this works just fine
Merge into t1
Using (
Select art_ref_nr, channel, some_value From s1 ) t2
On ( t1.art_ref_nr = t2.art_ref_nr and t1.channel = t2.channel
and ( t1.datasource is null
or (t1.datasource = 'no such value' ) -- only null values will be found
))
WHEN MATCHED THEN UPDATE SET
t1.some_value = t2.some_value
, t1.datasource = 'value 1'
;
SQL 2 -- this fails
Merge into t1
Using (
Select art_ref_nr, channel, some_value From s1 ) t2
On ( t1.art_ref_nr = t2.art_ref_nr and t1.channel = t2.channel
and ( t1.datasource is null
))
WHEN MATCHED THEN UPDATE SET
t1.some_value = t2.some_value
, t1.datasource = 'value 2'
;
SQL1 runs fine.
SQL2 messages:
Columns referenced in the ON Clause cannot be updated: string Cause:
LHS of UPDATE SET contains the columns referenced in the ON Clause
On the other side I reference the on-clause "datasource", in both SQLs, so the error message cannot be full truth.
It seems like the problem is that one time I only check for null value entries. But why does this affect the SQL logic?
Many greetings,
Peter

My guess is that your first query doesn't produce an error because a matching row is never found.
For the second query, it has to do an UPDATE, but can't because you are refering the column to UPDATE into the ON clause.
To overcome this,try to move into a WHERE clause, the part of the ON clause refering the column(s) you are trying to UPDATE:
Merge into t1
Using (
Select art_ref_nr, channel, some_value From s1 ) t2
On (t1.art_ref_nr = t2.art_ref_nr and t1.channel = t2.channel)
WHEN MATCHED THEN UPDATE SET
t1.some_value = t2.some_value
, t1.datasource = 'value 2'
WHERE t1.datasource is null
;

Related

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;

ORA-01407: cannot update ("schema"."UTILISATEUR"."ID_PERSONNE") to NULL

Can you pleas help me ?
I have this issue ORA-01407: cannot update ("schema"."UTILISATEUR"."ID_PERSONNE") to NULL.
*** But I checked and "schema"."UTILISATEUR"."ID_PERSONNE" is not null !!
Every record is filled.
Below the query :
UPDATE schema.utilisateur
SET schema.utilisateur.ID_Personne = (select testtable.New_ID_Personne
from testtable
where TESTTABLE.Login = schema.utilisateur.Login
and testtable.New_id_personne is not null)
It's probably due to there being logins in the schema.utilisateur table that aren't present in testtable, meaning the corresponding new_id_personne will be null. You need to add a where clause to your update statement to make sure that you're only updating rows that exist in testtable, e.g.:
UPDATE schema.utilisateur su
SET su.ID_Personne = (select testtable.New_ID_Personne
from testtable tt1
where tt1.Login = su.Login
and tt1.New_id_personne is not null)
where exists (select null
from testtable tt2
where tt2.Login = su.Login
and tt2.New_id_personne is not null);
or you could convert it into a merge statement, e.g.:
merge into schema.utilisateur tgt
using (select testtable.New_ID_Personne
from testtable tt
where tt1.New_id_personne is not null) src
on (tgt.login = src.login)
when matched then
update set tgt.id_personne = src.new_id_personne;

update rows from joined tables in oracle

I'm trying to migrate some tables into an existing table, I need to perform the updates only where DET_ATTACHMENT_ID equals DET_ATTACHMENT.ID, here's the query I have so far.
UPDATE DET_ATTACHMENT
SET attachment_type = 'LAB', -- being added by the query, to replace the table difference
payer_criteria_id = (
SELECT PAYER_CRITERIA_ID
FROM DET_LAB_ATTACHMENT
WHERE DET_LAB_ATTACHMENT.DET_ATTACHMENT_ID = DET_ATTACHMENT.ID)
WHERE exists(
SELECT DET_ATTACHMENT_ID
FROM DET_ATTACHMENT
JOIN DET_LAB_ATTACHMENT ON (ID = DET_ATTACHMENT_ID)
WHERE DET_ATTACHMENT_ID = DET_ATTACHMENT.ID
the problem with the existing query is that it's setting every row to have an attachment_type of "LAB", and nulling out the payer_criteria_id where it didn't match. What am I doing wrong?
The problem might be that your exists(...) predicate always evaluates to true, thus making the update run for all rows of det_attachment. Try it this way:
UPDATE DET_ATTACHMENT X
SET X.attachment_type = 'LAB',
X.payer_criteria_id = (
SELECT C.PAYER_CRITERIA_ID
FROM DET_LAB_ATTACHMENT C
WHERE C.DET_ATTACHMENT_ID = X.ID
)
WHERE
exists(
SELECT 1
FROM DET_ATTACHMENT A
JOIN DET_LAB_ATTACHMENT B
ON B.DET_ATTACHMENT_ID = A.ID
where B.det_attachment_id = X.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
);