MERGE TVP + sum the column while updating a record - sql

Source Table
Id, Name, hits
1 A 10
1 A 20
1 A 30
2 A 10
Target Table
Id, Name, hits
1 A NULL
After Merge
Id, Name, hits
1 A 60
2 A 10
is the above possible ? using Merge statement ?

Try below
MERGE targetTable AS [pi]
USING (
SELECT id,name,sum(hits) as hits from sourcetable
GROUP BY id,name
) AS src (id,name,hits) ON src.id= [pi].id and scr.name=pi.name
WHEN MATCHED
THEN UPDATE SET [pi].hits= src.hits
WHEN NOT MATCHED
THEN INSERT values (src.id, src.name,hits)

Related

Update multiple rows based on unique values in another column in same table

I have a table with two columns. The table columns are name, and companyID, and they are in the [dbo].[Suppliers] table.
I need to update the CompanyID values ONLY for Unique Names.
UPDATE [dbo].[Suppliers]
SET CompanyId = 46
WHERE Name IN
(
SELECT DISTINCT Name
FROM [dbo].[Suppliers]
);
i.e.
Trying to get this
Name CompanyID
A 5
B 5
C 5
A 5
To look like:
Name CompanyID
A 6
B 6
C 6
A 5
Unfortunately, my query above is not doing the trick.
Appreciate any and all help. Thanks.
You can use a Common Table Expression to add a row number to each name, then update that CTE but specify only the first row for each name...
WITH
uniquely_identified AS
(
SELECT
ROW_NUMBER() OVER (PARTITION BY name ORDER BY companyID) AS name_row_id,
*
FROM
[dbo].[Suppliers]
)
UPDATE
uniquely_identified
SET
CompanyId = 46
WHERE
name_row_id = 1
;
Example: https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=4b5eba30b3bed71216ec678e9cffa6b9

How to sum column values from two tables and preserve another column which is only in one table

i have created tables item and item2, I know maybe it's data redundancy but i want to know how can select it, and create a view?
create table item(
id number(10) primary key,
name varchar2(20),
mark number(10));
insert into item values(10,'Apple1',23);
insert into item values(11,'Apple2',0);
insert into item values(12,'Apple3',0);
insert into item values(13,'Apple4',0);
insert into item values(14,'Apple4',0);
insert into item values(15,'Apple4',0);
insert into item values(16,'Apple4',0);
create table item2(
id number(10),
mark number(10));
alter table item2 add(constraint id_fk FOREIGN KEY (id) references item(id));
Insert into item2 values(10,1);
Insert into item2 values(10,1);
Insert into item2 values(11,7);
Insert into item2 values(12,14);
I can query both:
select * from item;
ID Name Mark
10 Apple1 23
11 Apple2 0
12 Apple3 0
13 Apple4 0
14 Apple4 0
15 Apple4 0
16 Apple4 0
select * from item2;
ID Mark
10 1
10 1
11 7
12 14
I want to get the result set below using the select statement sum from the item and item2 tables:
ID Name Mark
10 Apple1 25
11 Apple2 7
12 Apple3 14
13 Apple4 0
14 Apple4 0
15 Apple4 0
16 Apple4 0
How can I combine my queries to produce that output?
If I understand this correctly, you want to "pretend" that the second table had the NAME column also, populated according to the first table; then you would want to GROUP BY id and get the sum of MARK.
If so, instead of joining the tables to get the names (either before or after combining the tables and computing the sums), you can use a UNION ALL, in which you insert a fake NAME column with NULL in it for the second table; then you group by id, you sum the MARK column, and you take the MAX over NAME. MAX ignores NULL, so it will just pick the name from table ITEM.
The solution below follows that logic in every detail.
select id, max(name) as name, sum(mark) as mark
from ( select id, name, mark
from item
union all
select id, null as name, mark
from item2
)
group by id
;
You can union the two tables together on the id and mark. The name you can either add a null name column into the union and do a max/min on that field to get one value from that table. Otherwise you can union the id and marks, and then join back to the original table with the name to grab it from there and include it in the group by.
select item_table.id, item_table.name, sum(mark_data_set.mark) as mark_score
from
(select
id, mark
from item
union all
select id, mark
from item2
) mark_data_set
inner join item item_table on (mark_data_set.id = item_table.id)
group by item_table.id, item_table.name
How about this?
select id,name,(m1 +nvl(m2,0)) mark
from
(select t1.id,t1.name,t1.mark m1,t2.mark m2
from
item t1
LEFT OUTER JOIN
(select id,sum(mark) mark from item2
group by id) t2
ON
t2.id = t1.id
)
order by id;

Oracle -- Update the exact column referenced in the ON clause

I think this requirement is rarely encountered so I couldn't search for similar questions.
I have a table that needs to update the ID. For example ID 123 in table1 is actually supposed to be 456. I have a separate reference table built that stores the mapping (e.g. old 123 maps to new id 456).
I used the below query but apparently it returned error 38104, columns referenced in the ON clause cannot be updated.
MERGE INTO table1
USING ref_table ON (table1.ID = ref_table.ID_Old)
WHEN MATCHED THEN UPDATE SET table.ID = ref_table.ID_New;
Is there other way to achieve my purpose?
Thanks and much appreciated for your answer!
Use the ROWID pseudocolumn:
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE TABLE1( ID ) AS
SELECT 1 FROM DUAL UNION ALL
SELECT 2 FROM DUAL UNION ALL
SELECT 3 FROM DUAL;
CREATE TABLE REF_TABLE( ID_OLD, ID_NEW ) AS
SELECT 1, 4 FROM DUAL UNION ALL
SELECT 2, 5 FROM DUAL;
MERGE INTO TABLE1 dst
USING ( SELECT t.ROWID AS rid,
r.id_new
FROM TABLE1 t
INNER JOIN REF_TABLE r
ON ( t.id = r.id_old ) ) src
ON ( dst.ROWID = src.RID )
WHEN MATCHED THEN
UPDATE SET id = src.id_new;
Query 1:
SELECT * FROM table1
Results:
| ID |
|----|
| 4 |
| 5 |
| 3 |
You can't update a column used in the ON clause in a MERGE. But if you don't need to make other changes that MERGE allows like WHEN NOT MATCHED or deleting, etc. you can just use a UPDATE to achieve this.
You mentioned this is an ID that needs an update. Here's an example using a scalar subquery. As it is an ID, this presumes UNIQUE ID_OLD values in REF_TABLE. I wasn't sure if Every row needs an update or only a sub-set, so set the update here to only update rows that have a value in REF_TABLE.
CREATE TABLE TABLE1(
ID NUMBER
);
CREATE TABLE REF_TABLE(
ID_OLD NUMBER,
ID_NEW NUMBER
);
INSERT INTO TABLE1 VALUES (1);
INSERT INTO TABLE1 VALUES (2);
INSERT INTO TABLE1 VALUES (100);
INSERT INTO REF_TABLE VALUES (1,10);
INSERT INTO REF_TABLE VALUES (2,20);
Initial State:
SELECT * FROM TABLE1;
ID
1
2
100
Then make the UPDATE
UPDATE TABLE1
SET TABLE1.ID = (SELECT REF_TABLE.ID_NEW
FROM REF_TABLE
WHERE REF_TABLE.ID_OLD = ID)
WHERE TABLE1.ID IN (SELECT REF_TABLE.ID_OLD
FROM REF_TABLE);
2 rows updated.
And check the change:
SELECT * FROM TABLE1;
ID
10
20
100

Pivot in SQL: count not working as expected

I have in my Oracle Responsys Database a table that contains records with amongst other two variables:
status
location_id
I want to count the number of records grouped by status and location_id, and display it as a pivot table.
This seems to be the exact example that appears here
But when I use the following request :
select * from
(select status,location_id from $a$ )
pivot (count(status)
for location_id in (0,1,2,3,4)
) order by status
The values that appear in the pivot table are just the column names :
output :
status 0 1 2 3 4
-1 0 1 2 3 4
1 0 1 2 3 4
2 0 1 2 3 4
3 0 1 2 3 4
4 0 1 2 3 4
5 0 1 2 3 4
I also gave a try to the following :
select * from
(select status,location_id , count(*) as nbreports
from $a$ group by status,location_id )
pivot (sum(nbreports)
for location in (0,1,2,3,4)
) order by status
but it gives me the same result.
select status,location_id , count(*) as nbreports
from $a$
group by status,location_id
will of course give me the values I want, but displaying them as a column and not as a pivot table
How can I get the pivot table to have in each cell the number of records with the status and location in row and column?
Example data:
CUSTOMER,STATUS,LOCATION_ID
1,-1,1
2,1,1
3,2,1
4,3,0
5,4,2
6,5,3
7,3,4
The table data types :
CUSTOMER Text Field (to 25 chars)
STATUS Text Field (to 25 chars)
LOCATION_ID Number Field
Please check if my understanding for your requirement is correct, you can do vice versa for the location column
create table test(
status varchar2(2),
location number
);
insert into test values('A',1);
insert into test values('A',2);
insert into test values('A',1);
insert into test values('B',1);
insert into test values('B',2);
select * from test;
select status,location,count(*)
from test
group by status,location;
select * from (
select status,location
from test
) pivot(count(*) for (status) in ('A' as STATUS_A,'B' as STATUS_B))

Copy Data and increment PK in destination table

I have a temp table with data that needs to be split into 3 other tables. Each of those tables has a primary key that is not shared with each other or with the temp table. Here is a small sampling:
Table 1
RSN AGENT STATUS STATUS DECRIPTION
0 280151 51 Terminated
1 86 57 C/O Comp Agent Dele
2 94 57 C/O Comp Agent Dele
3 108 51 Terminated
Table 2
RSN AGENT CITY
1 10 Englewood
2 123 Jackson
3 35 Eatontown
4 86 Trenton
Table 3
RSN AGT SIGN NO_EMP START_DATE
0 241008 Y 1 2002-10-31 00:00:00.000
1 86 Y 0 2002-10-24 09:51:10.247
2 94 Y 0 2002-10-24 09:51:10.247
3 108 Y 0 2002-10-24 09:51:10.247
I need to check each table to see if the data in the temp table exists and if it does not I want to insert those rows with a RSN# starting with the max number in that table. So if I have 5000 records in the first table and I am adding 5000 new rows they will be numbered 5001 through 10000.
I then need to check to see if any columns have changed for matching rows and update them.
Thanks in advance for your assistance.
Scott
You have to repeat the code bellow for T1, 2 and 3 and update matching and not matching columns.
Insert new value:
Insert Into Table1(col1, col2, ...)
Select t.col1, t.col2
From temp as t
Left Join table1 as t1 On t.matchcol1 = t1.matchcol1 and t.matchcol2 = t1.matchcol2
Where t.col1 is null
replace matchcol1 by a list of matching columns between T and T1
update:
Update t1 set col1 = t.col1, t.col2 = t1.col2, ...
From table1 as t1
Inner Join temp as t On t.matchcol1 = t1.matchcol1 and t.matchcol2 = t1.matchcol2 and ...
Where col1 <> t.col1 or t.col2 <> t1.col2 or ...
This may work as well:
I am not sure you really need to update something or just insert and how you link temp and table1 in order to know if it has been changed.
Insert Into Table1(RSN, AGENT, STATUS, STATUS, DECRIPTION)
Select (Select max(RSN) From table1) + Row_number() over(order by agent)
, AGENT, STATUS, STATUS, DECRIPTION
From (
Select AGENT, STATUS, STATUS, DECRIPTION From TempTable
Except
Select AGENT, STATUS, STATUS, DECRIPTION From Table1
) as t1
Or you can upgrade to SQL Server 2008 and use Merge. It would be a lot easier
I ended up adding 4 new columns to my staging table; a temp rsn#, which is an identity column starting with 1, and an rsn# for each of my 3 destination tables. I created a variable getting the max value from each table and then added that to my temp rsn#.