I have this query here
SELECT a.FileTrackingTag, a.DataSetName FROM TempTable a
LEFT JOIN FinalTable b ON a.Title = b.Title
WHERE b.FileTrackingTag IS NULL
AND b.DataSetName IS NULL
And I want to update the Filetrackingtag and the datasetname in finaltable with the values in temptable only if they are null and having the same Title and SampleID between the two tables
table structure is as such,
both tables have Title, Filetrackingtag, and Datasetname
Any recommendations?
I think the statement you're looking for is this:
UPDATE f SET
Filetrackingtag = isnull(f.Filetrackingtag, t.Filetrackingtag),
Datasetname = isnull(f.Datasetname, t.Datasetname)
FROM FinalTable f
JOIN TempTable t
ON f.Title = t.Title and f.SampleID = t.SampleID
(I haven't tested the code, but I'm pretty confident it should work)
Use derived table in UPDATE statement
UPDATE x
SET x.FileTrackingTag = x.newFileTrackingTag,
x.DataSetName = x.newDataSetName
FROM (
SELECT a.FileTrackingTag AS newFileTrackingTag, a.DataSetName AS newDataSetName,
b.FileTrackingTag, b.DataSetName
FROM TempTable a LEFT JOIN FinalTable b ON a.Title = b.Title AND a.SampleID = b.SampleID
WHERE b.FileTrackingTag IS NULL AND b.DataSetName IS NULL
) x
Related
I have bd hf3 and 5 tables there:
active_preset with columns (id , preset_id)
preset with columns (id , birja_id, trend_id, fractal, interval_up)
birja with columns (id , name)
trend with columns (id , name)
uq_active_preset with columns (id , birja, trend, fractal, interval_up)
In table preset I have a few records. Some of them are in table active_preset by foreign key preset_id. In table active_preset a few records exist once , a few more than once.
I need to update table uq_active_preset with records from table active_preset disregarding repetitions of records if they are present.
I did query from active_preset and it works good:
SELECT
b.name AS birja, p.fractal AS fractal , tre.name AS trend, p.interval_up AS interval_up
FROM hf3.active_preset AS ap
INNER JOIN hf3.preset AS p on p.id = ap.preset_id
INNER JOIN hf3.birja AS b on b.id = p.birja_id
INNER JOIN hf3.trend AS tre on tre.id = p.trend_id
GROUP BY b.name, p.fractal, tre.name, p.interval_up
HAVING COUNT(*) >= 1
But I don't know how to update uq_active_preset
I tried this and it returns syntax error:1064 :
UPDATE hf3.uq_active_preset uap SET
uap.birja = st.birja ,
uap.fractal = st.fractal,
uap.trend = st.trend,
uap.interval_up = st.interval_up,
FROM (SELECT b.name AS birja, p.fractal AS fractal , tre.name AS trend, p.interval_up AS interval_up
from hf3.active_preset AS ap
INNER JOIN hf3.preset AS p on p.id = ap.preset_id
INNER JOIN hf3.birja AS b on b.id = p.birja_id
INNER JOIN hf3.trend AS tre on tre.id = p.trend_id
GROUP BY b.name, p.fractal, tre.name, p.interval_up
HAVING COUNT(*) >= 1
) st
when you make an update using from is like you join the updated table with your query result. So, you need also a where statement in order to tell where those two are connected. Also, don't use alias of your updated table on set statement.
You need something like that:
UPDATE hf3.uq_active_preset uap SET birja=st.birja,fractal=st.fractal,trend=st.trend,interval_up=st.interval_up
FROM (SELECT b.name AS birja, p.fractal AS fractal , tre.name AS trend, p.interval_up AS interval_up
from hf3.active_preset AS ap
INNER JOIN hf3.preset AS p on p.id = ap.preset_id
INNER JOIN hf3.birja AS b on b.id = p.birja_id
INNER JOIN hf3.trend AS tre on tre.id = p.trend_id
GROUP BY b.name, p.fractal, tre.name, p.interval_up
HAVING COUNT(*) >= 1
) st
where uap.fkey=st.fkey
I have a table refs with citations (AU NAMES, which are separated by ; in one field authors)
and a table called aunames with the AU-NAMES at each row. Now I would like to
update my table aunames with the total number of authors for each citation.
rec ID NAME AUCOUNT
1 3 AU1
2 3 AU2
...
...
How can I do that? (auname_copy is a copy of auname.)
I tried:
update aunames
set aucount = (select count(rec)
from refs
join aunames_copy on refs.id=aunames_copy.id
GROUP BY refs.id) ;
But I get the error:
[Err] 1242 - Subquery returns more than 1 row
WHen I try only one row it works.
update aunames
set aucount = (select count(rec)
from refs
join aunames_copy on refs.id=aunames_copy.id
where refs.id='1'
GROUP BY refs.id )
where id='1';
How can I loop through all rows?
Thanks
You can use the UPDATE ... JOIN ... SET syntax:
UPDATE aunames a
INNER JOIN (
SELECT r.id, count(rec) cnt
FROM refs r
INNER JOIN aunames_copy c ON r.id = c.id
GROUP BY r.id
) x ON x.id = a.id
SET a.aucount = x.cnt
NB: if, as commented by #MadhurBhaiya, you created table aunames_copy as a copy of original table aunames, your query can probably be simplified as:
UPDATE aunames a
INNER JOIN (SELECT id, count(rec) cnt FROM refs GROUP BY id) x ON x.id = a.id
SET a.aucount = x.cnt
I have this query, which works fine:
select table_1.*, coalesce(test_1.type) as type
from `tbl_1`
left join `table_2` on `table_1`.`table_1_id` = `table_1`.`id`
inner join `table_3` as `test_1` on `test_1`.`code` = `table_2`.`column` and `table_2`.`column` = 'L'
So, it's a query on table 1 with a join on table 2, then subsequent joins from multiple aliased joins of table 3 on table 2, but as soon as I add further joins, I get no results and I'm not sure why, for example:
select table_1.*, coalesce(test_1.type, test_2.type) as type
from `tbl_1`
left join `table_2` on `table_1`.`table_1_id` = `table_1`.`id`
inner join `table_3` as `test_1` on `test_1`.`code` = `table_2`.`column` and `table_2`.`column` = 'L'
inner join `table_3` as `test_2` on `test_2`.`code` = `table_2`.`column` and `table_2`.`column` = 'H'
Can anyone explain what I have done wrong?
Try LEFT join on table_3 . If there are no records for table_3, that's why you yield no results, due to the INNER join.
And actually, you're not joining any columns on table_3. Is most likely the issue.
What is the expected sample result of the second of your query ?
Could you please try this query ?
select table_1.*, coalesce(test_1.type) as type
from `tbl_1`
left join `table_2` on `table_1`.`table_1_id` = `table_1`.`id`
inner join `table_3` as `test_1` on `test_1`.`code` = `table_2`.`column` and
(`table_2`.`column` = 'L' or `table_2`.`column` = 'H')
I have two tables.
table_a:
id | data_x | data_y
--------------------
1 person joe
2 person bob
3 amount 200
4 addres philville
tableB:
map_id | table_a_id
-------------------
7 1
7 3
7 4
8 4
8 2
The result I want is the map_id if it has an entry in table_a for both data_x = 'person' and data_y = '200'
So with the above table B, the result should be
map_id
------
7
How can I write that query in SQL?
This situation is a perfect fit for an unusual SQL operator: INTERSECT. It is a very declarative, efficient and elegant solution for this problem.
SELECT Map.map_id
FROM Table_B AS Map JOIN Table_A AS Person ON (Person.id = Map.table_a_id) AND (Person.data_x = 'person')
INTERSECT
SELECT Map.map_id
FROM Table_B AS Map JOIN Table_A AS Amount ON (Amount.id = Map.table_a_id) AND (Amount.data_y = '200')
Formally what you are asking for is exactly the intersection of two disjoint sets: the set of map id's that are persons and the set of map id's that have a value of 200.
Please note the INTERSECT operator does not exists in MySQL, but it does in almost all advanced relational DBMS, including PostgreSQL.
This is less elegant than the INTERSECT solution #Malta posted, but it works with the limited capabilities of MySQL as well:
SELECT b1.map_id
FROM table_a a1
JOIN tableb b1 ON a1.id = b1.table_a_id AND a1.data_x = 'person'
JOIN tableb b2 ON b2.map_id = b1.map_id AND b2.table_a_id <> b1.table_a_id
JOIN table_a a2 ON a2.id = b2.table_a_id AND a2.data_y = '200';
SQL Fiddle for MySQL.
SQL Fiddle for Postgres.
Based on your input, the following should get you started using MySQL:
SELECT
map_id
FROM TableB
JOIN Table_A
ON TableB.table_a_id = Table_A.id
AND
((Table_A.data_x = 'person')
OR
(Table_A.data_y = '200')
)
GROUP BY map_id
HAVING COUNT(table_a_id) = 2
;
See it in action: SQL Fiddle.
Update
As Erwin Brandstetter made explicit: If the data can't be trusted to be inherently consistent (along the lines of your inquiry), one option is:
SELECT map_id FROM (
SELECT map_id, 'data_x' t
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_x = 'person'
UNION
SELECT map_id, 'data_y'
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_y = '200'
) T
GROUP BY map_id
HAVING COUNT(DISTINCT t) = 2
;
This should ensure "at least one each". (Alternatives have been suggested by others.) To get "exactly one each", you could try
SELECT map_id FROM (
SELECT map_id, 'data_x' t, data_y
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_x = 'person'
UNION
SELECT map_id, 'data_y', data_y
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_y = '200'
) T
GROUP BY map_id
HAVING COUNT(DISTINCT t) = 2 AND COUNT(DISTINCT data_y) = 2
;
See it in action (with additional test data): SQL Fiddle.
And it works in PostgreSQL as well: SQL Fiddle
Please comment if and as this requires adjustment / further detail.
Join the 2 tables, group by map_id, use conditional counting with either count() or sum(), and filter in having clause (I use mysql syntax below):
select map_id,
sum(
case
when a.data_x='person' or a.data_y='200' then 1
else 0
end
) as matches
from a
inner join b on a.id=b.a_id
group by b.map_id
having matches=2
The above query assumes that you cannot have more than one record for any map_id where data_x is person or data_y is 200. If this assumption is incorrect, then you need to use either exists subqueries or 2 derived tables.
Sounds like you want a standard INNER JOIN.
But I do beg to differ on your result:
map_id if it has an entry in table_a for both data_x = 'person' and data_y = '200'
There is not a record in your data set that has both 'person' and data_y = '200' and therefore no mp_id can be returned
Here is a typical INNER JOIN relating to your narrative.
SELECT DISTINCT
b.map_id
FROM
TableA a
INNER JOIN TableB b
ON a.id = b.table_a_id
WHERE
a.data_x = 'person'
AND a.data_y = '200'
If more than one map_id exists with data_x = 'person' and data_y = '200' then you will get multiple results but only 1 row per map_id
If you want the map_id(s) for records with data_x = 'person' or data_y = '200' then switch the and in the where statement to or and you will receive map_id 7 & 8.
SELECT DISTINCT
b.map_id
FROM
TableA a
INNER JOIN TableB b
ON a.id = b.table_a_id
WHERE
a.data_x = 'person'
OR a.data_y = '200'
Note this encompasses (7,1)(8,2) because 1 & 2 both have data_x = 'person' and then (7,3) because 3 has data_y = '200' therefore it would return map_id 7 & 8.
select map_id from
table_b b
left outer join table_a a1 on (b.table_a_id = a1.id and a1.data_x = 'person')
left outer join table_a a2 on (b.table_a_id = a2.id and a2.data_y = '200')
group by map_id
having count(a1.id) > 0 and count(a2.id) > 0
Lets do it simple:
SELECT * FROM
(
SELECT map_id
FROM table_a a1
inner join TableB b1 ON a1.id = b1.table_a_id
where a1.data_x = 'person'
) as p
inner join
(
SELECT map_id
FROM table_a a1
inner join TableB b1 ON a1.id = b1.table_a_id
where a1.data_y = '200'
) as q
on p.map_id = q.map_id
You may replace SELECT * FROM with SELECT p.map_id FROM.
You may add more sub-set-joins to have more conditions.
sql-fiddle
I have the below query to find the row prior to MAX row. i feel like i am missing something, can somebody please help with it. I ammlooking forward to get the b.usercode_1 as row prior to a.usercode_1 not the min or any other random row but the ROW prior to the MAX.
Please suggest.
Select distinct
c.ssn
, c.controlled_group_Status CG_status
, c.last_name || ' , '|| c.first_name FULL_NAME
, a.usercode_1 Current_REG
, a.eff_date effective_since1
, b.usercode_1 PRIOR_REG
, b.eff_date effective_since2
, d.term_eff_date
from employee_eff_date c
, emp_cg_data a
, emp_cg_data b
, emp_ben_elects d
where c.control_id = 'XYZ'
and c.controlled_group_Status <> 'D'
and c.eff_date = (select max( c1.eff_date)
from emp_cg_data c1
where c.control_id = c1.control_id
and c.ssn = c1.ssn)
and a.control_id = c.control_id
and a.ssn = c.ssn
and a.eff_date = (select max(a1.eff_date )
from emp_cg_data a1
where a.control_id = a1.control_id
and a.ssn = a1.ssn)
and a.usercode_1 = 'REG26'
and b.control_id = c.control_id
and b.ssn = c.ssn
and b.eff_date = (select max( b1.eff_date)
from emp_cg_data b1
where b.control_id = b1.control_id
and b.ssn = b1.ssn
and b1.eff_date < a.eff_date)
and b.usercode_1 like 'REG%'
and d.control_id = c.control_id
and d.ssn = c.ssn
and d.life_event_date = (select max( d1.life_event_date)
from emp_ben_elects d1
where d.control_id = d1.control_id
and d.ssn = d1.ssn)
and d.le_seq_no= (select max( d1.le_seq_no)
from emp_ben_elects d1
where d.control_id = d1.control_id
and d.ssn = d1.ssn
and d.life_event_date = d1.life_event_date)
and d.term_eff_date is null
;
NOTE: this is not a complete answer... its a helpful suggestion of what you should start with.
you are doing a Cartesian Product of the four tables, filtered by a WHERE... so something like this
Implicit Join -- generally not a good practice as it can be very difficult to keep the where filters apart from the join conditions.
SELECT *
FROM tableA a, TableB b
WHERE b.id = a.id
another way to write a JOIN (the more generally accepted way)
SELECT *
FROM tableA a
JOIN tableB b ON b.id = a.id
Use the ON clause to join two tables together.
You should change your joins to this format so that others can read your query and understand it better.
suggestion to solve your problem
a fairly simple way to get the second to last row is to use a row counter.
so something like
SELECT *, #row_count := #row_count + 1
FROM tableA a
JOIN tableB b on b.id = a.id AND -- any other conditions for the join.
CROSS JOIN (SELECT #row_count := 0) t
then from here you can get the MAX row, whether thats the ID or something else. and then get the #row_num -1. aka the previous row.