I have two tables. TableA and TableB.
TableA holds a varbinary(max) column - named [BinaryA]
TableB holds a column (named "Volume", type "Long") that contains each varbinary volume.
in order to select all volumes I query
SELECT ID, MyVolume = DATALENGTH([Binary])
FROM [VAULT].[TABLEA]
than, I want to update tableB with its volume.
I then write
update [TableB]
set [VOLUME] = ( SELECT MyVolume = DATALENGTH([Binary])
FROM [VAULT].[TABLEA] ab
WHERE id = ab.[Id])
I receive than
Cannot insert the value NULL into column 'Volume', table 'MySchema.Asset';
column does not allow nulls. UPDATE fails.
Though I dont receive any NULL when I run
SELECT ID, MyVolume = DATALENGTH([Binary])
FROM [VAULT].[TABLEA]
Try with this query:
UPDATE TableB
SET TableB.[VOLUME] = DATALENGTH([T2.Binary])
FROM TableB
INNER JOIN [VAULT].[TABLEA] T2 ON TableB.TAL_ID = T2.TAL_ID
Assuming that TableB and [VAULT].[TABLEA] are related by ID field.
UPDATE tableB
SET [volume] = (SELECT RetrieveAccountNumber.AccountNumber
FROM RetrieveAccountNumber
WHERE tableB.leadid =RetrieveAccountNumber.LeadID)
WHERE Sales_Import.leadid = (SELECT RetrieveAccountNumber.LeadID
FROM RetrieveAccountNumber
WHERE tableB.leadid = RetrieveAccountNumber.LeadID)
Related
I have a table with 5 columns (name, record, un, svun, svrecord):
Name
idrecord
un
svun
svrecord
John Doe
JD123
johndoe
NULL
JM123
Jane Doe
JaD123
janedoe
NULL
OR123
Olive Err
OR123
oliverr
NULL
GH123
I'm trying to populate the svun column with the value from the idrecord column when the svrecord matches an idrecord from another row.
For instance, row #2 should update the svun column to OR123 because the svrecord (OR123) matches the idrecord (OR123) from the table. Hope this makes sense.
I've started trying to come up with a query for this below but can't quite figure it out...I'm sure i'm missing a parameter to make this work or maybe an additional select statement...:
UPDATE table
SET svun = idrecord
WHERE (svrecord = idrecord)
First, take a look at update joins here: https://www.sqlservertutorial.net/sql-server-basics/sql-server-update-join/
You will see this example:
UPDATE
t1
SET
t1.c1 = t2.c2,
t1.c2 = expression,
...
FROM
t1
[INNER | LEFT] JOIN t2 ON join_predicate
WHERE
where_predicate;
Now, we need to apply this for your table:
UPDATE
t1
SET
t1.svun = t1.idrecord
FROM
yourtable t1
JOIN
yourtable t2
ON
t1.svrecord = t2.idrecort
Your initial query will only update svun = idrecord where svrecord = idrecord in the same row.
UPDATE table SET svun = idrecord WHERE (svrecord = idrecord)
In order to update records based on values that match in different rows you'll have to use a self join
with new_results as (
select a.Name, a.svun, a.idrecord
from table a
inner join table b
where a.svrecord = b.idrecord
)
update new_results set svun = idrecord where svun is null
I don't recommend running this code without testing, but this should get you started
Update table1
SET table1.svun = table2.idrecord
FROM table table1
INNER JOIN table table2
ON table1.svrecord = table2.idrecord
You could join the table to itself.
UPDATE YourTable
SET a.svun = b.idrecord
FROM YourTable a
INNER JOIN YourTable b
ON a.svrecord = b.idrecord
I am trying to perform a merge into a table (let's call it table1) from a table2. In the USING condition I need a third table (table3). This third table contains some IDs that I need in table1. A simplified version of my merge looks like:
MERGE INTO table1 a
USING (
SELECT ID, address
FROM table3 b
Where address IN
(
SELECT address
FROM table3
WHERE address IS NOT NULL
AND ID> 0
GROUP BY address
HAVING COUNT(*) = 1
)
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0
I know that the error I get is usually caused by the query in the USING clause, but theoretically this problem should be eliminated by the count(*)=1 condition.
I have duplicates in table2, but they should all get an ID from table3 or ID 0 if the address is duplicated in table3.
IDs are unique for an address, so they should be distinct.
P.S. This merge is performed automatically by a script that , so I can modify the query to add more conditions/restrictions, but I cannot change the structure [meaning I have to use these 3 tables as they are].
I hope this makes sense.
Any ideas why this still does not work for me?
Try this:
MERGE INTO table1 a
USING (
SELECT max(ID), address
FROM table3 b
WHERE address IS NOT NULL AND ID > 0
GROUP BY address
HAVING COUNT(*) = 1
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0;
you have where condition in inner query but not in outer query. If you want your original query please try:
MERGE INTO table1 a
USING (
SELECT ID, address
FROM table3 b
AND address IN
(
SELECT address
FROM table3
WHERE address IS NOT NULL
AND ID> 0
GROUP BY address
HAVING COUNT(*) = 1
)
WHERE address IS NOT NULL
AND ID> 0
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0
The issue is more than likely due to the duplicate rows from table2. Here's a simple test case demonstrating the issue:
Setup:
CREATE TABLE t1 (ID INTEGER PRIMARY KEY,
val VARCHAR2(1));
CREATE TABLE t2 (ID INTEGER,
val VARCHAR2(1));
INSERT INTO t1 (ID, val) VALUES (1, 'A');
INSERT INTO t2 (ID, val) VALUES (1, 'B');
INSERT INTO t2 (ID, val) VALUES (1, 'B');
COMMIT;
Merge that will error:
MERGE INTO t1 USING t2
ON (t1.id = t2.id)
WHEN MATCHED THEN
UPDATE SET t1.val = t2.val;
ORA-30926: unable to get a stable set of rows in the source tables
Merge that will succeed:
MERGE INTO t1 USING (SELECT DISTINCT id, val FROM t2) t2
ON (t1.id = t2.id)
WHEN MATCHED THEN
UPDATE SET t1.val = t2.val;
N.B. The second merge will still fail if you have different values returned for val for the same id; that means you will have more than one row returned for a given id, and Oracle won't know which one to use to update the target table with.
In order to make sure your merge statement will work, you will need to ensure that you will return at most 1 row per address in the source subquery.
I am using Oracle and I am trying to update a table(A) with data from another table(B). Not every field in B has a value so I have a number of NULL entries. When I run the update it says 6000 rows updated. Now there are 6000 rows in table B, however for this query only 14 have data in. When I select count(*) from both tables for this value they both return 14 rows each. Why is it reporting that 6000 rows have been updated?
UPDATE
table1 A
SET
phone_work = (
SELECT B.phone_work
FROM table2 B
WHERE B.id = A.applicant_id)
WHERE EXISTS (
SELECT 1
FROM table2 B
WHERE B.id = A.applicant_id);
I have also tried the following and I get the same result:
UPDATE
table1 A
SET
phone_work = (
SELECT B.phone_work
FROM table2 B
WHERE B.id = A.applicant_id
AND B.phone_work is not null
)
WHERE EXISTS (
SELECT 1
FROM table2 B
WHERE B.id = A.applicant_id);
Why is it reporting the update of 6000 rows? When I change the fields but use the same syntax it reports updating of the exact number of rows I expect e.g. a count of table B has 86 entries in the NAME field and it reports 86 rows updated. It seems that with the phone_work field I am getting every null value being counted as an update.
Perhaps you want to check for the non-NULL value in the exists:
UPDATE table1 A
SET phone_work = (SELECT B.phone_work
FROM table2 B
WHERE B.id = A.applicant_id
)
WHERE EXISTS (SELECT 1
FROM table2 B
WHERE B.id = A.applicant_id AND B.phone_work IS NOT NULL
);
Try this:
UPDATE
(
SELECT A.phone_work Aphone, B.phone_work Bphone
FROM table2 B, table1 A
WHERE B.id = A.applicant_id AND B.phone_work IS NOT NULL
)
SET
Aphone = Bphone;
Source: Oracle SQL: Update a table with data from another table
I have two tables, with a same column named user_name, saying table_a, table_b.
I want to, copy from table_b, column_b_1, column_b2, to table_b1, column_a_1, column_a_2, respectively, where the user_name is the same, how to do it in SQL statement?
As long as you have suitable indexes in place this should work alright:
UPDATE table_a
SET
column_a_1 = (SELECT table_b.column_b_1
FROM table_b
WHERE table_b.user_name = table_a.user_name )
, column_a_2 = (SELECT table_b.column_b_2
FROM table_b
WHERE table_b.user_name = table_a.user_name )
WHERE
EXISTS (
SELECT *
FROM table_b
WHERE table_b.user_name = table_a.user_name
)
UPDATE in sqlite3 did not support a FROM clause for a long time, which made this a little more work than in other RDBMS. UPDATE FROM was implemented in SQLite 3.33 however (2020-08-14) as mentioned at: https://stackoverflow.com/a/63079219/895245
If performance is not satisfactory, another option might be to build up new rows for table_a using a select and join with table_a into a temporary table. Then delete the data from table_a and repopulate from the temporary.
Starting from the sqlite version 3.15 the syntax for UPDATE admits a column-name-list
in the SET part so the query can be written as
UPDATE table_a
SET
(column_a_1, column_a_2) = (SELECT table_b.column_b_1, table_b.column_b_2
FROM table_b
WHERE table_b.user_name = table_a.user_name )
which is not only shorter but also faster
the last "WHERE EXISTS" part
WHERE
EXISTS (
SELECT *
FROM table_b
WHERE table_b.user_name = table_a.user_name
)
is actually not necessary
It could be achieved using UPDATE FROM syntax:
UPDATE table_a
SET column_a_1 = table_b.column_b_1
,column_a_2 = table_b.column_b_2
FROM table_b
WHERE table_b.user_name = table_a.user_name;
Alternatively:
UPDATE table_a
SET (column_a_1, column_a_2) = (table_b.column_b_1, table_b.column_b_2)
FROM table_b
WHERE table_b.user_name = table_a.user_name;
UPDATE FROM - SQLite version 3.33.0
The UPDATE-FROM idea is an extension to SQL that allows an UPDATE statement to be driven by other tables in the database. The "target" table is the specific table that is being updated. With UPDATE-FROM you can join the target table against other tables in the database in order to help compute which rows need updating and what the new values should be on those rows
There is an even much better solution to update one table from another table:
;WITH a AS
(
SELECT
song_id,
artist_id
FROM
online_performance
)
UPDATE record_performance
SET
op_song_id=(SELECT song_id FROM a),
op_artist_id=(SELECT artist_id FROM a)
;
Update tbl1
Set field1 = values
field2 = values
Where primary key in tbl1 IN ( select tbl2.primary key in tbl1
From tbl2
Where tbl2.primary key in tbl1 =
values);
The accepted answer was very slow for me, which is in contrast to the following:
CREATE TEMPORARY TABLE t1 AS SELECT c_new AS c1, table_a.c2 AS c2 FROM table_b INNER JOIN table_a ON table_b.c=table_a.c1;
CREATE TEMPORARY TABLE t2 AS SELECT t1.c1 AS c1, c_new AS c2 FROM table_b INNER JOIN t1 ON table_b.c=t1.c2;
I am trying to update my table 1 with some field value from table 2 based on a condition. But am unable to get the proper query. Here's the condition:
I have a table 1 with date field which should be updated from table 2 date field. The condition is that the id of table 1 should be equal to id of table 2 (Table 2 has id of table 1 as FK). Another condition should be there is a varchar field in table 2 which should have specific value, say "Test". Wherever the value of field in table 2 is "Test" I want to update the date of with that record in table 1 date field. But there is another catch. It may be possible that more than 1 records for same id in table 2 can have value as "Test"
I was trying the query as:
UPDATE A
SET A.Date = Max(B.[Date])
FROM Table1 A
INNER JOIN Table2 B ON A.ID = B.FK_ID
WHERE (B.Changed LIKE 'Test')
AND A.Date IS NULL
But this is not working as sql does not allow Max in update when there is no group by. Please help. A bit urgent.
You need to create another inner join where the ID's of Table1 are coupled with the maximum dates of Table2 like so:
UPDATE Table1
SET Date = BDate.MaxDate
FROM Table1 A
INNER JOIN Table2 B ON A.ID = b.FK_ID
INNER JOIN (
SELECT A.ID, [MaxDate] = MAX(B.Date)
FROM Table1 A
INNER JOIN Table2 B ON A.ID = b.FK_ID
GROUP BY A.ID
) BDate ON BDate.ID = A.ID
WHERE B.Changed LIKE 'Test'
A.Date IS NULL
You could always use subqueries:
UPDATE Table1 a SET
[Date] = (SELECT MAX([Date]) FROM Table2 b WHERE a.ID = b.FK_ID AND b.Changed LIKE 'Test')
WHERE [Date] IS NULL