Reputation: 149
I need to set a "waived" flag in my table for all but the newest result per id. I thought I had a query that will work here, but when I run a select on the query, I'm getting incorrect results - I saw one case where it selected both of the only two results for a particular id. I'm also getting multiple results with the same exact data. What am I doing wrong here?
Here's my select statement:
select t.test_row_id, t.test_result_id, t.waived, t.pass, t.comment
from EV.Test_Result
join EV.Test_Result as t on EV.Test_Result.test_row_id = t.test_row_id and EV.Test_Result.start_time < t.start_time and t.device_id = 1219 and t.waived = 0
order by t.test_row_id
Here's the actual query I want to run:
update EV.Test_Result
set waived = 1
from EV.Test_Result
join EV.Test_Result as t on EV.Test_Result.test_row_id = t.test_row_id and EV.Test_Result.start_time < t.start_time and t.device_id = 1219 and t.waived = 0
Upvotes: 0
Views: 94
Reputation: 1298
If I understand this correctly, you are having problems because the Cardinality of the ON
predicate returns all matching rows.
EV.Test_Result.test_row_id = t.test_row_id
and EV.Test_Result.start_time < t.start_time
This ON
will compare all of the start_time values that have the same id and return every combination of result sets where start_time is lesser than the t.start_time. Clearly, this is not what you want.
and t.device_id = 1219
and t.waived = 0
This is actually a predicate (ON
technically is one), but I would prefer to use this in a subquery
/CTE
for several reasons: You limit the number of rows SQL
has to retrieve and compare.
Something like the following might be what you needed:
SELECT A.test_row_id
, A.test_result_id
, A.waived
, A.pass
, A.comment
FROM EV.Test_Result A
INNER JOIN (SELECT MAX(start_time) AS start_time
, test_row_id
FROM EV.Test_Result
WHERE device_id = 1219
AND waived = 0
GROUP BY test_row_id
) AS T ON A.test_row_id = T.test_row_id
AND A.start_time < T.start_time
ORDER BY A.test_row_id
This query then returns a 1:M
relationship between the values in the ON
predicate, unlike the M:M
query you had run.
UPDATE:
Since I sheepishly screwed up trying to alter my Query on SO
, I'll redeem myself by explaining the physical and logical orders of basic SQL
Query operators:
As you know, you write a simple SELECT
statement like the following:
SELECT <aggregate column>, SUM(<non-aggregate column>) AS Cost
FROM <table_name>
WHERE <column> = 'some_value'
GROUP BY <aggregate column>
HAVING SUM(<non-aggregate column>) > some_value
ORDER BY <column>
Note that if you use a aggregate function, all other columns MUST appear in the GROUP BY or another function.
Now, SQL Server requires them to be written in that order although it actually processes this logically by the following order that is worth memorizing:
There are more details found on SELECT - MSDN, but this is why any columns in the SELECT
operator must be in the group by or in a aggregate function (SUM
, MIN
, MAX
, etc)...and also why my lazy code failed on your first attempt. :/
Note also that the ORDER BY
is last (technically TOP
operator occurs after this), and that without it the result is not deterministic unless a function such as DENSE_RANK
enforces it (thought this occurs in the SELECT
statement).
Hope this helps solve the problem and better yet how SQL works. Cheers
Upvotes: 1
Reputation: 898
Can you try ROW_NUMBER () function order by timestamp descending and filtering out values having ROW_NUMBER 1 ;
Below query should fetch all records per id except the latest one
I tried below query in Oracle with a table having fields : id,user_id, record_order adn timestamp and it worked :
select
<table_name_alias>.*
from
(
select
id,
user_id,
row_number() over (partition by id order by record_order desc) as record_number
from
<your_table_name>
) <table_name_alias>
where
record_number <>1;
If you are using Teradata DB, you can also try QUALIFY statement. I'm not sure if all DBs support this.
Select
table_name.*
from table_name
QUALIFY row_number() over (partition by id order by record_order desc) <>1;
Upvotes: 0