I have 2 tables
LoanApplications (Id, Name, CreationDate, LoanApplicationStatusId)
Positions(Id, Name, CreationDate, LoanApplicationId)
I need to find all loan applications that have more than 1 position and update LoanApplicationStatusId to 2
I write code to get these LoanApplications like this
SELECT e.Id, count(Name) FROM LoanApplications e
INNER JOIN Positions d ON e.Id=d.LoanApplicationId
GROUP BY e.Id
HAVING COUNT(Name)>1
But I don't understand how to make an update now.
Can you help me?
Straight ahead would be a simple subselect
UPDATE LoanApplications l
SET LoanApplicationStatusId = 2
where (select count(1) from Positions p where p.LoanApplicationId = l.id) > 1
Simply select id of apps which have more than one row, and use it in UPDATE as a condition
UPDATE LoanApplications
JOIN ( SELECT LoanApplicationId
FROM Positions
GROUP BY LoanApplicationId
HAVING COUNT(LoanApplicationId) > 1 ) multi_positional ON id = LoanApplicationId
SET LoanApplicationStatusId = 2
Unsafe query: 'Update' statement without 'where' updates all table rows at once Got this stuff – Eugene Sukh
Convert this query to
UPDATE LoanApplications
JOIN ( SELECT LoanApplicationId
FROM Positions
GROUP BY LoanApplicationId
HAVING COUNT(LoanApplicationId) > 1 ) multi_positional
SET LoanApplicationStatusId = 2
WHERE LoanApplications.id = multi_positional.LoanApplicationId
Im trying to change some records in my database but sadly my sql knowledge is a bit limited. After googling and reading stuff online I have managed to write a select statement in which i can find the records that I want to update but i dont understand the logic to write the update statement to do it. I have to make several similar update statements so I hope this one I can figure out the rest myself
This is the select statement I have:
SELECT
MG.id,
MG.status,
MG.fin,
MG.execDateTime,
EXISTS
(
SELECT 1
FROM Mtask T
JOIN MTaskHis TH ON TH.t_id= T.id
WHERE T.tg_id = MG.id
AND YEAR(TH.dateTime) = 2019
) AS hasExecStart,
NMG.id,
NMG.execDateTime,
EXISTS
(
SELECT 1
FROM Mtask T
JOIN MTaskHis TH ON TH.t_id = T.id
WHERE T.tg_id = NMG.id
AND YEAR(TH.dateTime) = 2019
) AS hasExecNext
FROM Management_Group MG
JOIN MT_Groupman MTGM ON
MG.tgm_id = MTGM.id
LEFT JOIN Management_Group NMG ON MTGM.id =
NMG.tgm_id AND YEAR(NMG.execDateTime) = 2019
JOIN Management_Man MM ON MTGM.man_id = MM.id
JOIN Location L ON MM.location_id = L.id
WHERE L.org_id = 69
AND MG.stat != 'DELETED'
AND YEAR(MG.execDateTime) = 2018
AND MM.Type= 9
AND MG.fin != 1
AND EXISTS
(
SELECT 1
FROM Mtask T
WHERE T.tg_id = MG.id
AND T.stat = 'execution'
)
HAVING hasExecNext = 0 AND hasExecStart = 1
I know standard updates in sql:
UPDATE <TABLENAME>
SET <fieldName> = <value>
WHERE <conditons>
Except I do not know how to convert this select statement I have made into an update statement, reason for that is:
- Where do I put the exist alias in the update statement
- I also dont understand when or where to put all the JOINS in the from statement
- What about the HAVING
What is the best way to do joined updates like this?
In an UPDATE you can join the table you want to update to a sub-query that contains your current query.
UPDATE YourTable t
JOIN
(
<< add your query here >>
) q ON q.SomeKeyField = t.SomeKeyField
SET t.FieldName = q.FieldNameFromSubquery,
t.OtherFieldName = q.OtherFieldNameFromSubquery
I have the following table structure:
tbl_catalogue_state
In tbl_catalogue there is a part number 58674 that has three states in the tbl_catalogue_state_lk table. Here is the result when I run a query inner joining the three tables.
As expected there are multiple rows returned.
Is there a way to only return one row having the values for each catalgue_state_id on the same row?
I would also like the ability to ignore a row for example:
select tbl_catalogue.catalogue_part, tbl_catalogue_state.catalogue_state_id from tbl_catalogue
inner join tbl_catalogue_state_lk on tbl_catalogue.catalogue_id = tbl_catalogue_state_lk.catalogue_id
inner join tbl_catalogue_state on tbl_catalogue_state_lk.catalogue_state_id = tbl_catalogue_state.catalogue_state_id
where tbl_catalogue_state_lk.catalogue_state_id <> 1;
The above select still returns two rows.
UPDATE
I was able to use GROUP_CONCAT:
select tbl_catalogue.catalogue_part, GROUP_CONCAT(tbl_catalogue_state.catalogue_state_id) as cat_state from tbl_catalogue
inner join tbl_catalogue_state_lk on tbl_catalogue.catalogue_id = tbl_catalogue_state_lk.catalogue_id
inner join tbl_catalogue_state on tbl_catalogue_state_lk.catalogue_state_id = tbl_catalogue_state.catalogue_state_id
where tbl_catalogue_state_lk.catalogue_state_id <> 1
group by tbl_catalogue.catalogue_id;
My issue is the above statement still returns a row. I need it to return nothing.
I was able to use not exists:
select tc.catalogue_part, GROUP_CONCAT(tcs.catalogue_state_id) as cat_state from tbl_catalogue as tc
inner join tbl_catalogue_state_lk as tcsl on tc.catalogue_id = tcsl.catalogue_id
inner join tbl_catalogue_state as tcs on tcsl.catalogue_state_id = tcs.catalogue_state_id
where
not exists
(
select tcsl2.catalogue_state_id from tbl_catalogue_state_lk as tcsl2
where tcsl2.catalogue_state_id = 6 and tcsl2.catalogue_id = tc.catalogue_id
)
and
not exists
(
select tcsl3.catalogue_state_id from tbl_catalogue_state_lk as tcsl3
where tcsl3.catalogue_state_id = 1 and tcsl3.catalogue_id = tc.catalogue_id
)
and
not exists
(
select tcsl3.catalogue_state_id from tbl_catalogue_state_lk as tcsl3
where tcsl3.catalogue_state_id = 2 and tcsl3.catalogue_id = tc.catalogue_id
)
group by tc.catalogue_id;
I have a master table called "parent" and a related table called "childs"
Now I run a query against the master table to update some values with the sum from the child table like this.
UPDATE master m SET
quantity1 = (SELECT SUM(quantity1) FROM childs c WHERE c.master_id = m.id),
quantity2 = (SELECT SUM(quantity2) FROM childs c WHERE c.master_id = m.id),
count = (SELECT COUNT(*) FROM childs c WHERE c.master_id = m.id)
WHERE master_id = 666;
Which works as expected but is not a good style because I basically make multiple SELECT querys on the same result. Is there a way to optimize that? (Making a query first and storing the values is not an option.
I tried this:
UPDATE master m SET (quantity1, quantity2, count) = (
SELECT SUM(quantity1), SUM(quantity2), COUNT(*)
FROM childs c WHERE c.master_id = m.id
) WHERE master_id = 666;
but that doesn't work.
Update: Here is the solution, thanks to everbody:
You can do something like this:
UPDATE master m
INNER JOIN childs c ON m.master_id = c.master_id
SET master.quantity1 = c.quantity1,
master.count = 1
If you have only one child record at a time. However if you want to use a group function like SUM() in the joined table that doesn't work. Either you get a "Invalid use of group function" if you leave the "group by" part or a "You have an error in your sql syntax if you use "GROUP BY c.master_id"
-- This doesnt work :(
UPDATE master m
INNER JOIN childs c ON m.master_id = c.master_id
SET master.quantity1 = SUM(c.quantity1),
master.count = COUNT(c.*)
GROUP by c.master_id
The solution is to use JOIN with a subquery:
UPDATE master m
INNER JOIN
(
SELECT master_id,
SUM(quantity1) as quantity1,
COUNT(*) as count
FROM childs c
GROUP BY master_id
) c
ON c.master_id = m.master_id
SET m.quantity1 = c.quantity1,
m.count = c.count
WHERE m.master_id = 666;
But since this pulls every row from the childtable the overhead would likely be bigger than using more subqueries like in the original sql. So you should add a WHERE clause to the joined table to get only the rows you need.
Another interesting approach is this syntax, which does the same as the JOIN with the WHERE clause but you should only use if if you want to update all rows with the same values and your subquery only returns one row, since the result from the subquery gets appended to the result and can be used like any column.
UPDATE master m,
(
SELECT SUM(c.quantity1) as sum_of_quantity,
COUNT(*) as rowcount FROM child c WHERE c.master_id = 666
) as c
SET m.quantity1 = c.sum_of_quantity,
m.count = c.rowcount
WHERE m.master_id = 666;
Rewriting Lieven's solution to MySQL:
UPDATE master m
JOIN (
SELECT master_id
, SUM(quantity1) as quantity1
, SUM(quantity2) as quantity2
, COUNT(*) as count
FROM childs c
GROUP BY
master_id
) c
ON c.master_id = m.master_id
SET
m.quantity1 = c.quantity1
,m.quantity2 = c.quantity2
,m.count = c.count
WHERE m.master_id = 666;
I don't know if it is allowed in MySQL, but SQL Server allows you to use the result of a select in an update.
UPDATE master m SET
quantity1 = c.quantity1
, quantity2 = c.quantity2
, count = c.count
FROM master m
INNER JOIN (
SELECT master_id
, quantity1 = SUM(quantity1)
, quantity2 = SUM(quantity2)
, count = COUNT(*)
FROM childs c
WHERE master_id = 666
GROUP BY
master_id
) c ON c.master_id = m.master_id
You could select your data into a temporary table, and then update using that data.
If you also want to insert "new" data in the same roundtrip, look into INSERT INTO ... SELECT FROM ... ON DUPLICATE KEY UPDATE ...
If you already are doing inserts if row doesn't exist, then that would be redundant with this example.
example:
INSERT INTO master m (id, quantity1, quantity2, count)
SELECT master_id, SUM(quantity1) q1, SUM(quantity2) q1, COUNT(*) c
FROM childs
GROUP BY master_id
ON DUPLICATE KEY UPDATE
m.quantity1 = q1,
m.quantity2 = q2,
m.count = c
NOTE! This is untested code, but I think it should be possible to backreference the select result in the UPDATE.
Syntax reference: http://dev.mysql.com/doc/refman/5.0/en/insert.html
I need to check (from the same table) if there is an association between two events based on date-time.
One set of data will contain the ending date-time of certain events and the other set of data will contain the starting date-time for other events.
If the first event completes before the second event then I would like to link them up.
What I have so far is:
SELECT name as name_A, date-time as end_DTS, id as id_A
FROM tableA WHERE criteria = 1
SELECT name as name_B, date-time as start_DTS, id as id_B
FROM tableA WHERE criteria = 2
Then I join them:
SELECT name_A, name_B, id_A, id_B,
if(start_DTS > end_DTS,'VALID','') as validation_check
FROM tableA
LEFT JOIN tableB ON name_A = name_B
Can I then, based on my validation_check field, run a UPDATE query with the SELECT nested?
You can actually do this one of two ways:
MySQL update join syntax:
UPDATE tableA a
INNER JOIN tableB b ON a.name_a = b.name_b
SET validation_check = if(start_dts > end_dts, 'VALID', '')
-- where clause can go here
ANSI SQL syntax:
UPDATE tableA SET validation_check =
(SELECT if(start_DTS > end_DTS, 'VALID', '') AS validation_check
FROM tableA
INNER JOIN tableB ON name_A = name_B
WHERE id_A = tableA.id_A)
Pick whichever one seems most natural to you.
UPDATE
`table1` AS `dest`,
(
SELECT
*
FROM
`table2`
WHERE
`id` = x
) AS `src`
SET
`dest`.`col1` = `src`.`col1`
WHERE
`dest`.`id` = x
;
Hope this works for you.
Easy in MySQL:
UPDATE users AS U1, users AS U2
SET U1.name_one = U2.name_colX
WHERE U2.user_id = U1.user_id
If somebody is seeking to update data from one database to another no matter which table they are targeting, there must be some criteria to do it.
This one is better and clean for all levels:
UPDATE dbname1.content targetTable
LEFT JOIN dbname2.someothertable sourceTable ON
targetTable.compare_field= sourceTable.compare_field
SET
targetTable.col1 = sourceTable.cola,
targetTable.col2 = sourceTable.colb,
targetTable.col3 = sourceTable.colc,
targetTable.col4 = sourceTable.cold
Traaa! It works great!
With the above understanding, you can modify the set fields and "on" criteria to do your work. You can also perform the checks, then pull the data into the temp table(s) and then run the update using the above syntax replacing your table and column names.
Hope it works, if not let me know. I will write an exact query for you.
UPDATE
receipt_invoices dest,
(
SELECT
`receipt_id`,
CAST((net * 100) / 112 AS DECIMAL (11, 2)) witoutvat
FROM
receipt
WHERE CAST((net * 100) / 112 AS DECIMAL (11, 2)) != total
AND vat_percentage = 12
) src
SET
dest.price = src.witoutvat,
dest.amount = src.witoutvat
WHERE col_tobefixed = 1
AND dest.`receipt_id` = src.receipt_id ;
Hope this will help you in a case where you have to match and update between two tables.
I found this question in looking for my own solution to a very complex join. This is an alternative solution, to a more complex version of the problem, which I thought might be useful.
I needed to populate the product_id field in the activities table, where activities are numbered in a unit, and units are numbered in a level (identified using a string ??N), such that one can identify activities using an SKU ie L1U1A1. Those SKUs are then stored in a different table.
I identified the following to get a list of activity_id vs product_id:-
SELECT a.activity_id, w.product_id
FROM activities a
JOIN units USING(unit_id)
JOIN product_types USING(product_type_id)
JOIN web_products w
ON sku=CONCAT('L',SUBSTR(product_type_code,3), 'U',unit_index, 'A',activity_index)
I found that that was too complex to incorporate into a SELECT within mysql, so I created a temporary table, and joined that with the update statement:-
CREATE TEMPORARY TABLE activity_product_ids AS (<the above select statement>);
UPDATE activities a
JOIN activity_product_ids b
ON a.activity_id=b.activity_id
SET a.product_id=b.product_id;
I hope someone finds this useful
UPDATE [table_name] AS T1,
(SELECT [column_name]
FROM [table_name]
WHERE [column_name] = [value]) AS T2
SET T1.[column_name]=T2.[column_name] + 1
WHERE T1.[column_name] = [value];
You can update values from another table using inner join like this
UPDATE [table1_name] AS t1 INNER JOIN [table2_name] AS t2 ON t1.column1_name] = t2.[column1_name] SET t1.[column2_name] = t2.column2_name];
Follow here to know how to use this query http://www.voidtricks.com/mysql-inner-join-update/
or you can use select as subquery to do this
UPDATE [table_name] SET [column_name] = (SELECT [column_name] FROM [table_name] WHERE [column_name] = [value]) WHERE [column_name] = [value];
query explained in details here http://www.voidtricks.com/mysql-update-from-select/
You can use:
UPDATE Station AS st1, StationOld AS st2
SET st1.already_used = 1
WHERE st1.code = st2.code
For same table,
UPDATE PHA_BILL_SEGMENT AS PHA,
(SELECT BILL_ID, COUNT(REGISTRATION_NUMBER) AS REG
FROM PHA_BILL_SEGMENT
GROUP BY REGISTRATION_NUMBER, BILL_DATE, BILL_AMOUNT
HAVING REG > 1) T
SET PHA.BILL_DATE = PHA.BILL_DATE + 2
WHERE PHA.BILL_ID = T.BILL_ID;
I had an issue with duplicate entries in one table itself. Below is the approaches were working for me. It has also been advocated by #sibaz.
Finally I solved it using the below queries:
The select query is saved in a temp table
IF OBJECT_ID(N'tempdb..#New_format_donor_temp', N'U') IS NOT NULL
DROP TABLE #New_format_donor_temp;
select *
into #New_format_donor_temp
from DONOR_EMPLOYMENTS
where DONOR_ID IN (
1, 2
)
-- Test New_format_donor_temp
-- SELECT *
-- FROM #New_format_donor_temp;
The temp table is joined in the update query.
UPDATE de
SET STATUS_CD=de_new.STATUS_CD, STATUS_REASON_CD=de_new.STATUS_REASON_CD, TYPE_CD=de_new.TYPE_CD
FROM DONOR_EMPLOYMENTS AS de
INNER JOIN #New_format_donor_temp AS de_new ON de_new.EMP_NO = de.EMP_NO
WHERE
de.DONOR_ID IN (
3, 4
)
I not very experienced with SQL please advise any better approach you know.
Above queries are for MySql server.
if you are updating from a complex query. The best thing is create temporary table from the query, then use the temporary table to update as one query.
DROP TABLE IF EXISTS cash_sales_sums;
CREATE TEMPORARY TABLE cash_sales_sums as
SELECT tbl_cash_sales_documents.batch_key, COUNT(DISTINCT tbl_cash_sales_documents.cash_sale_number) no_of_docs,
SUM(tbl_cash_sales_documents.paid_amount) paid_amount, SUM(A.amount - tbl_cash_sales_documents.bonus_amount - tbl_cash_sales_documents.discount_given) amount,
SUM(A.recs) no_of_entries FROM
tbl_cash_sales_documents
RIGHT JOIN(
SELECT
SUM(
tbl_cash_sales_transactions.amount
)amount,
tbl_cash_sales_transactions.cash_sale_document_id,
COUNT(transaction_id)recs
FROM
tbl_cash_sales_transactions
GROUP BY
tbl_cash_sales_transactions.cash_sale_document_id
)A ON A.cash_sale_document_id = tbl_cash_sales_documents.cash_sale_id
GROUP BY
tbl_cash_sales_documents.batch_key
ORDER BY batch_key;
UPDATE tbl_cash_sales_batches SET control_totals = (SELECT amount FROM cash_sales_sums WHERE cash_sales_sums.batch_key = tbl_cash_sales_batches.batch_key LIMIT 1),
expected_number_of_documents = (SELECT no_of_docs FROM cash_sales_sums WHERE cash_sales_sums.batch_key = tbl_cash_sales_batches.batch_key),
computer_number_of_documents = expected_number_of_documents, computer_total_amount = control_totals
WHERE batch_key IN (SELECT batch_key FROM cash_sales_sums);
INSERT INTO all_table
SELECT Orders.OrderID,
Orders.CustomerID,
Orders.Amount,
Orders.ProductID,
Orders.Date,
Customer.CustomerName,
Customer.Address
FROM Orders
JOIN Customer ON Orders.CustomerID=Customer.CustomerID
WHERE Orders.OrderID not in (SELECT OrderID FROM all_table)