I have 3 tables in a m2m relationship in a mysql database as follows:
tbltest (test_id, testdescription)
tblprofile (profile_id, profiledescription)
tbltestprofile(testprofile_id,test_id,profile_id)
I need to display test_id and description from the test table where I have no matching records in tbltestprofile and where the profile_id = x
I've tried various combinations using NOT IN but without the desired results. Can anyone assist?
SELECT test_id
, testdescription
FROM tbltest AS t
WHERE NOT EXISTS
( SELECT *
FROM tbltestprofile tp
WHERE t.test_id = tp.test_id
AND tp.profile_id = X
)
Sidenote. It would help if you kept table (and field) names simple and not add the tbl prefix, like test, profile, testprofile. A simple 3-table join you have probably used:
SELECT tbltest.test_id
, tbltest.testdescription
, tblprofile.profile_id
, tblprofile.profiledescription
FROM tbltest
JOIN tbltestprofile
ON tbltest.test_id = tbltestprofile.test_id
JOIN tblprofile
ON tblprofile.profile_id = tbltestprofile.profile_id
ORDER BY tblprofile.profiledescription
makes me rather dizzy. Wouldn't it be better like this? Even without aliases:
SELECT test.id AS test_id
, test.description AS test
, profile.id AS profile_id
, profile.description AS profile
FROM test
JOIN testprofile
ON test.id = testprofile.test_id
JOIN profile
ON profile.id = testprofile.profile_id
ORDER BY profile.description
SELECT test_id, testdescription
FROM tbltest
LEFT JOIN tbltestprofile ON tbltest.test_id = tbltestprofile.test_id
WHERE tbltestprofile.test_id IS NULL;
Related
I have a table in SQL which will contain multiple rows for one id, as below
accountid Productname
1 GL
1 IP
1 MI
2 GL
2 IP
2 PA
3 MI
3 CP
3 IP
4 GL
4 CP
4 CI
I want to be able to select all accounts which have certain products but not other. For example all that have IP or GL but not MI, using the sample table above this would return accounts 2 and 4.
SELECT ccx_accountidname
FROM (
SELECT ccx_accountidname, ccx_productname
FROM Filteredccx_leadresearch
WHERE ccx_productname IN ('GL','IP')
AND ccx_accountidname IS NOT NULL
) AS T
WHERE ccx_productname NOT IN ('MI')
ORDER BY ccx_accountidname
and
SELECT DISTINCT LR1.ccx_accountidname
FROM Filteredccx_leadresearch LR1
LEFT JOIN Filteredccx_leadresearch LR2 ON LR1.ccx_accountid = LR2.ccx_accountid
AND LR2.ccx_productname IN ('GL', 'IP')
WHERE LR1.ccx_productname NOT IN ('MI')
AND LR1.ccx_accountidname IS NOT NULL
ORDER BY LR1.ccx_accountidname
Both give basically the same results, is there any way this can be done?
Thanks in advance for any help
Could you try this:
SELECT DISTINCT T1.Accountidname FROM TheTableThatContainsAccountnames as T1
JOIN AccountProductsTable as T2 on T1.AccountId=T2.AccountId
WHERE T2.ProductName = 'ProductYouWant'
AND T2.ProductName = 'AnOtherProductYouWant'
According to your post, all you really need is a simple query with the correct and logic. You want all accounts with Product name GL or IP but not in MI. This will do it without any other joins.
SELECT ccx_accountidname
FROM Filteredccx_leadresearch
WHERE
ccx_productname in ('GL','IP')
and ccx_productname not in ('MI')
EDIT
This will get you the account, though I doubt it will work in your overall solution. It's just hard to tell without seeing your complete dataset. This could be done with parameters too.
IF OBJECT_ID('tempdb..#TempTable') IS NOT NULL
DROP TABLE #TempTable
IF OBJECT_ID('tempdb..#TempTableTwo') IS NOT NULL
DROP TABLE #TempTableTwo
create table #TempTable (accountid int, productname char(2))
insert into #TempTable (accountid,productname) values
(1,'GL'),
(1,'IP'),
(1,'MI'),
(2,'GL'),
(2,'IP'),
(2,'MA')
select distinct
t1.accountid,
1 as T
into #TempTableTwo
from
#TempTable t1
where
productname in ('GL','IP')
union all
select distinct
t1.accountid,
-1 as T
from
#TempTable t1
where
productname in ('MI')
select
accountid
from #TempTableTwo
group by accountid
having sum(T) > 0
I might be late for the game, but this should do the trick, if anyone is trying to solve a similar problem. I renamed your table and it's columns:
Filteredccx_leadresearch -> l_search
ccx_accountidname -> a_name
ccx_productname -> p_name
And here's the SQL:
(SELECT DISTINCT t1.a_name
FROM l_search t1
JOIN l_search t2 ON t1.a_name = t2.a_name
WHERE t1.p_name = 'IP'
OR t2.p_name = 'GL')
MINUS
(SELECT DISTINCT t1.a_name
FROM l_search t1
JOIN l_search t2 ON t1.a_name = t2.a_name
WHERE ((t1.p_name = 'IP'OR t1.p_name = 'GL') AND t2.p_name = 'MI')
OR
(t1.p_name = 'MI' AND (t1.p_name = 'IP' OR t1.p_name = 'GL')));
First set:
cross product of table on itself with same IDs, get account IDs which have a product 'IP' or 'GL'.
Second set:
cross product of table on itself with same IDs, get account IDs which have p_name ('IP' OR 'GL') on first cross property AND 'MI' on second.
Also, get those IDs, which have the same but the other way around: p_name 'MI' on first cross property AND ('IP' OR 'GL') on second.
And finally subtract the second from the first.
Here is a simple way to include the accounts that match either IP or GL and exclude those accounts if they have an record for MI without using a subquery.
This is assuming t1 is a table that has unique account numbers in accountid and t2 is the table you have shown above that has accountid and Productname columns.
SELECT DISTINCT
t1.accountid
FROM t1
LEFT JOIN t2 AS t2_match
ON t1.accountid = t2_match.accountid
AND
(
t2_match.Productname = 'IP'
OR t2_match.Productname = 'GL'
)
LEFT JOIN t2 AS t2_not_match
ON t1.accountid = t2_not_match.accountid
AND t2_not_match.Productname = 'MI'
WHERE
t2_match.accountid IS NOT NULL
AND t2_not_match.accountid IS NULL
This is really late, but it might help some one.
I'll focus only on using the columns we have on the table we are shown (won't combine it with other tables we were not given).
Since the only table in the example is not clearly named, I'll call it some_table
SELECT t.accountidname, t.productname
FROM some_table t
WHERE t.productname IN ('GL','IP')
AND t.accountidname NOT IN (
SELECT accountidname
FROM some_table
WHERE productname = 'MI'
);
The idea here is to:
Select all accountid and productname that have productname either GL or IP (3rd line)
Select all accountid that have a productname MI and remove them from the values we already have (4th line onwards)
With this values, filtering or combining it with other tables should be rather trivial.
You might want to replace the SELECT with SELECT DISTINCT if the combinations of accountid and productname could be repeated in the table.
I have the following code and I'm trying to group the messages
Here is a picture of database table and how the groups should be
and here is the SQL statement
SELECT a.* FROM `user_messages` `a`
JOIN (
SELECT `sender`, MAX(`id`) `last_id` FROM `user_messages` WHERE `receiver` = '1' GROUP BY `sender`
) `b`
ON `a`.`sender` = `b`.`sender` AND `a`.`id` = `b`.`last_id`
WHERE `a`.`receiver` = '1'
ORDER BY `id` DESC
OUTPUT:
I want to get somehow the last record where "receiver" is not my id, but "sender" is and name receiver column as "id" or something.
...so what i want is following result:
id | msg
13852 123
48 Hello!
17 321
Here is a fiddle: http://sqlfiddle.com/#!9/e06d57/3/0
To map my generic answer to your particular use case (using example 1):
SELECT receiver AS id, msg
FROM user_messages outerTable
WHERE NOT EXISTS
( SELECT *
FROM user_messages innerTable
WHERE innerTable.sender = outerTable.sender
AND innerTable.receiver = outerTable.receiver
AND innerTable.added > outerTable.added
)
AND sender = 1
This is a very common use case. There are several ways to write this code. Depending on the SQL engine used, they will be of different speeds.
I will use fairly generic column names. Tweak as needed.
SELECT common_id, msg
FROM myTable outerTable
WHERE NOT EXISTS
( SELECT *
FROM myTable innerTable
WHERE innerTable.common_id = outerTable.common_id
AND innerTable.time > outerTable.time
)
Please note that if there are two rows with identical common_id and time columns, then both will show up in the output. You can replace the > with >= to hide both of those rows.
The other common approach is kind of difficult to make sense of, but here goes. Notice the similarities to the NOT EXISTS approach.
SELECT outerTable.common_id, outerTable.msg
FROM myTable outerTable
LEFT JOIN myTable innerTable
ON innerTable.common_id = outerTable.common_id
AND innerTable.time > outerTable.time
WHERE innerTable.common_id IS NULL
According to your description, you seem to want something like this:
select um.receiver as id, um.msg
from user_messages um
where um.sender = 1 and
um.id = (select max(um2.id)
from user_messages um2
where um2.msg = um.msg and um2.receiver <> 1 and um.sender = 1
);
It doesn't produce the desired output, but that is because the output is inconsistent with the text description.
I have this query:
SELECT `assemblies`.`id`,
`assemblies`.`type`,
`assemblies`.`champion`,
`assemblies`.`name`,
`assemblies`.`author`,
`assemblies`.`githublastmod`,
( assemblies.forum IS NOT NULL ) AS forumExists,
Count(votes.id) AS votesCount,
Count(install_clicks.id) AS installCount,
Count(github_clicks.id) AS githubCount,
Count(forum_clicks.id) AS forumCount
FROM `assemblies`
INNER JOIN `votes`
ON `votes`.`assembly` = `assemblies`.`id`
INNER JOIN `install_clicks`
ON `install_clicks`.`assembly` = `assemblies`.`id`
INNER JOIN `github_clicks`
ON `github_clicks`.`assembly` = `assemblies`.`id`
INNER JOIN `forum_clicks`
ON `forum_clicks`.`assembly` = `assemblies`.`id`
WHERE `assemblies`.`type` = 'utility'
AND Unix_timestamp(Date(assemblies.githublastmod)) > '1419536536'
GROUP BY `assemblies`.`id`
ORDER BY `votescount` DESC,
`githublastmod` DESC
For some reason this query is very slow, I'm using the database engine MyISAM. I hope someone can help me out here :)
Explain command:
I believe this is a case where making the subqueries for the counts will make it run a lot faster (and the values will be correct).
The problem with the original query is the explosion of the number of intermediate rows: For each 'assembly', there were n1 votes, n2 installs, etc. That led to n1*n2*... rows per assembly.
SELECT `assemblies`.`id`, `assemblies`.`type`, `assemblies`.`champion`,
`assemblies`.`name`, `assemblies`.`author`, `assemblies`.`githublastmod`,
( assemblies.forum IS NOT NULL ) AS forumExists,
( SELECT Count(*)
FROM votes
WHERE `assembly` = `assemblies`.`id`
) AS votesCount,
( SELECT Count(*)
FROM install_clicks
WHERE `assembly` = `assemblies`.`id`
) AS installCount,
( SELECT Count(*)
FROM github_clicks
WHERE `assembly` = `assemblies`.`id`
) AS githubCount,
( SELECT Count(*)
FROM forum_clicks.id
WHERE `assembly` = `assemblies`.`id`
) AS forumCount
FROM `assemblies`
WHERE `assemblies`.`type` = 'utility'
AND Unix_timestamp(Date(assemblies.githublastmod)) > '1419536536'
ORDER BY `votescount` DESC, `githublastmod` DESC
Each secondary table needs an INDEX starting with assembly.
Your problem should be fixed using the right indices:
CREATE INDEX index_name_1 ON `votes`(`assembly`);
CREATE INDEX index_name_2 ON `install_clicks`(`assembly`);
CREATE INDEX index_name_3 ON `github_clicks`(`assembly`);
CREATE INDEX index_name_4 ON `forum_clicks`(`assembly`);
Try your query again after creating these indices and it should be quite faster.
Here are the relevant columns of my tables
bia_panels ( id, sign_id, value, project_id )
bia_clients ( id, name )
bia_projects ( id, name, client_id, city_id )
bia_cities ( id, name )
I am attempting to update the bia_panels.project_id to the bia_projects.id where the bia_panels.value = bia_clients.name and the panels.project_id =000 and the value is not blank of course I must use multiple joins to get there
-- UPDATE
SELECT * FROM
`bia_panels` AS t1
JOIN bia_clients AS t2
ON t1.value = t2.name
JOIN bia_projects AS t3
ON t2.id = t3.client_id
-- SET t1.project_id = t3.id
-- WHERE t1.value<>'' AND t1.project_id = '000'
WHERE t1.value <>''
The problem is that this is not giving me the correct results (my project ids are not correct somewhere in the joins multiple results are returned so they break
I know that once I am able to get the select portion correct I can use an update
For example there may be multiple panels where the value=client.name but not all of them are the same project ID
and bia_panels.ID = bia_panels.project_id
join condition is missing in your select query, this should be added like
JOIN bia_projects ON bia_clients.id = bia_projects.client_id and bia_panels.ID = bia_panels.project_id
following query should give right output
SELECT sign_id, value, left(sign_id, 3) AS city_ID ,
bia_clients.id AS 'client id', bia_projects.id AS proj_id , bia_cities.id
FROM bia_panels
JOIN bia_clients ON bia_panels.value = bia_clients.name
JOIN bia_projects ON bia_clients.id = bia_projects.client_id and bia_panels.ID = bia_panels.project_id
JOIN bia_cities ON bia_projects.city_id = bia_cities.id WHERE bia_panels.value<>'' AND bia_panels.project_id = '000' ORDER BY value
I would little bit reorganize your query into UPDATE query:
UPDATE bia_panels p, bia_clients c, bia_projects t
SET p.project_id=t.id
WHERE p.value=c.name
AND t.client_id=c.id
AND p.project_id=''
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)