If I want to display Order_Number data1 data2 data3 (most current by date changed OtherData1, OtherData2, OtherData3) date_changed the problem is I wasn't just one line, I was getting multiple lines for each order number.
What I would love to get is
1, a, f,q, cc,ccc,abc, 12/2/2014, bob
3, c, b,h, aa,aaa,abc, 12/2/2014, bob
Thanks!
I was working with
SELECT
t.Order_Number,
cr.data1, cr.data2, cr.data3,
t.OtherData1, t.OtherData2, t.OtherData3,
x.date_changed, cr.name
FROM
(SELECT
Order_Number,
Max(date_changed) as date_changed
FROM
table2
GROUP BY
Order_Number) x
JOIN
table2 t ON x.date_changed = t.date_changed
LEFT JOIN
table1 cr ON x.Order_Number = cr.Order_Number
WHERE cr.name = 'bob'
Here are example tables.
Table1:
Order_Number data1 data2 data3 name
1 a f q bob
2 b g g john
3 c b h bob
4 d s j john
Table2:
Order_Number date_changed OtherData1 OtherData2 OtherData3
1 11/30/2014 aa aaa abc
1 12/1/2014 bb bbb def
1 12/2/2014 cc ccc abc
3 12/1/2014 dd aaa def
2 11/30/2014 dd bbb abc
2 12/1/2014 ss ccc def
3 12/2/2014 aa aaa abc
4 11/26/2014 fc wer wsd
Your Join to config_log (Table2) needs to include the entire composite key if you want to retrieve unique rows.
JOIN
conf_log t ON x.date_changed = t.date_changed
And x.Order_Number = t.Order_number
I think you need to have 2 sub querys:
SELECT
Data.Order_Number,
Data.data1, Data.data2, Data.data3,
Data.OtherData1, Data.OtherData2, Data.OtherData3,
Data.date_changed, Data.name
FROM
(SELECT
Order_Number,
Max(date_changed) as date_changed
FROM
table2
GROUP BY
Order_Number) x
JOIN (SELECT
t.Order_Number,
cr.data1, cr.data2, cr.data3,
t.OtherData1, t.OtherData2, t.OtherData3,
t.date_changed, cr.name
FROM table2 t
JOIN table1 cr
ON t.Order_Number = cr.Order_Number) AS Data
ON x.date_changed = data.date_changed
AND x.Order_Number = data.Order_number
WHERE cr.name = 'bob'
The fact that you had cr.name in the where clause means the LEFT JOIN had the same affect as just JOIN.
Related
I have 2 tables in Big Query:
TABLE A
ID
Name
Date_A
field_x
field_y
field_z
xxx
tata
10/11/2021
a
0
1
xxx
tata
11/11/2021
a
1
1
zzz
tutu
01/11/2021
b
0
1
zzz
tutu
05/11/2021
b
1
1
yyy
titi
02/11/2021
c
0
1
uuu
tata
08/11/2021
d
0
0
TABLE B
ID
Name
Date_B
field_A
field_B
xxx
tata
13/11/2021
AA
BB
zzz
tutu
01/11/2021
CC
DD
yyy
titi
11/11/2021
AA
BB
uuu
tata
05/11/2021
DD
DD
And I would like to link (left join on ID and Name) rows from table B to the max date of table A, to get :
ID
Name
Date_A
field_x
field_y
field_z
field_A
field_B
xxx
tata
10/11/2021
a
0
1
NULL
NULL
xxx
tata
11/11/2021
a
1
1
AA
BB
zzz
tutu
01/11/2021
b
0
1
NULL
NULL
zzz
tutu
05/11/2021
b
1
1
CC
DD
yyy
titi
02/11/2021
c
0
1
AA
BB
uuu
tata
08/11/2021
d
0
0
DD
DD
How can I do that in SQL (Big Query) please ? Thanks
Consider below approach
select a.*,
(if(row_number() over win = 1, b, null)).* except(id, name, date_b)
from table_a a
left join table_b b
using(id, name)
window win as (partition by a.id, a.name order by date_a desc)
if applied to sample data in your question - output is
I didn't tested it but I think you should left join the b table to a table in which the max date is indicated. Usage of condition pure on the left table is somewhat unusual though from the definition of left join I expect it to work.
select a_ranked.ID, a_ranked.Name, a_ranked.Date_A
, a_ranked.field_x, a_ranked.field_y, a_ranked.field_z
, b.field_A, b.field_B
from (
select a.*, rank() over (partition by ID, Name order by Date_A desc) as r
from a
) a_ranked
left join b on a_ranked.ID = b.ID and a_ranked.Name = b.Name and a_ranked.r = 1
I have two tables like so:
table1(user, id, sex) table2(user, name, sex)
jjj 123 m jjj John m
jjj 124 m bbb Bob m
jjj 125 m ppp Pete f
bbb 126 m
bbb 127 f
ppp 128 f
ppp 129 m
ppp 130 m
I want result table where it displays all the users with their names and sex from table 2 who changed their sex at some point along with a count of how many users each name has. So this would be the result table:
(user, name, sex, count)
bbb Bob m 2
ppp Pete f 3
Currently im using this query:
select table2.user, table2.name, table2.sex, count(*)
from table1
join table2 on table1.user = table2.user
where table1.sex <> table2.sex
group by table2.user, table2.name, table2.sex
order by user
However the count column just counts from the resulting join table and not from original table1. Any ideas? thanks.
If I follow this correctly, one option use a lateral join and filtering:
select t2.*, t1.cnt
from table2 t2
inner join lateral (
select count(*) as cnt, min(sex) as minsex, max(sex) as maxsex
from table1 t1
where t1.user = t2.user
) t1 on t1.minsex <> t1.maxsex or t1.minsex <> t2.sex
Basically this filters table1 on users that have different sex or whose sex is different than in table2.
I want to join few tables:
table1:
A B_key B_version C D
123 abc 1 ccc 11
123 abc 2 ddd 11
456 dfg 1 rrr 22
789 vvv 1 55
table2:
A E F
123 s 5
456 r
111 t 2
table3:
B_key B_version G
abc 1 aa
abc 1 bb
abc 2 aa
abc 2 cc
dfg 1 aa
so the result would look like this:
A B_key B_version C D E F G
123 abc 1 ccc 11 s 5 aa
123 abc 1 ccc 11 s 5 bb
123 abc 2 ddd 11 s 5 aa
123 abc 2 ddd 11 s 5 cc
456 dfg 1 rrr 22 r aa
789 vvv 1 55
Version can go as high as 8.
IF I don't have A, B_key or B_version - the line is useless. Otherwise I need to keep all the information I do have.
In reality I have many more columns.
I've tried:
SELECT table1.A, table 1.B_key, table 1.B_version, table 1.C, table 1.D,
table2.E, table2.F,
table3.G
FROM table1
LEFT JOIN table2
ON table1.A = table2.A
LEFT JOIN table3
ON table1.B_key = table3.B_key AND
table1.B_version = table3.B_version
and the same with FULL JOIN.
It ends up the same: for every B_key only the highest B_version is kept, while the others disappear.
How can I avoid loosing information?
You can use left joins among tables as below :
select t1.A, t1.B_key, t1.B_version, t1.C, t1.D, t2.E, t2.F, t3.G
from table1 t1
left join table2 t2 on t2.A = t1.A
left join table3 t3 on t3.B_key = t1.B_key and t3.B_version = t1.B_version
Demo
in order to bring also the rows for unmatched values for join conditions.
If I understand correctly, you want all the b_keys and b_versions from table1 and table3. Then you want to bring in the other data. That suggests left joins
select . . .
from ((select B_key, B_version
from table1
) union -- on purpose to remove duplicates
( select B_key, B_version
from table3
)
) bb left join
table1 t1
on t1.b_key = bb.b_key and
t1.b_version = bb.b_version left join
table2 t2
on t2.a = t1.a left join
table3 t3
on t1.b_key = bb.b_key and
t1.b_version = bb.b_version;
I have an inner join on 2 tables.
Consider
Table1
sid name
1 abc
2 xyz
Table2
sdid sid detailname
1 1 a
2 1 b
3 2 x
So my query looks like below
SELECT *
FROM table1 t1
INNER JOIN table2 t2
ON t1.sid=t2.sid
the result i get is
sid name sdid sid detailname
1 abc 1 1 a
1 abc 2 1 b
2 xyz 3 2 x
I want to modify this query to get the highest 'sdid' from table 2
my end result should look like
sid name sdid sid detailname
1 abc 2 1 b
2 xyz 3 2 x
Include one more subquery in the join to get the max sdid for each sid from table2.
SELECT t1.sid,t1.name,t2.sdid,t2.sid,t2.detailname
FROM table1 t1
INNER JOIN table2 t2 ON t1.sid=t2.sid
INNER JOIN (select max(sdid) as maxsdid, sid from table2 group by sid) t21
ON t21.sid=t2.sid and t21.sdid = t2.sdid
This one is support hard for me. I can do inner join with first result only, but if exist I want take 2nd result.
THIS IS MY TABLE A
ID NAME VALUE
1 A 123
2 B 456
3 C 789
4 A 456
TABLE B
BID BNAME BVALUE
1 A ABC
2 A CDE
3 B 845
4 C 1234
MY SELECT SQL:
SELECT * FROM A
CROSS APPLY (
SELECT TOP 1 *
FROM B
WHERE A.Name = B.BName
) BB
It return
1 A 123 1 A ABC
2 B 456 3 B 845
3 C 789 4 C 1234
4 A 456 1 A ABC
Please help, I want this result:
1 A 123 1 A ABC
2 B 456 3 B 845
3 C 789 4 C 1234
4 A 456 2 A CDE
I accept tmp table and any kind of query :(
Following clarification in the comments that both tables will always have matching rows.
WITH A
AS (SELECT *,
ROW_NUMBER() OVER (PARTITION BY NAME ORDER BY ID) AS RN
FROM TableA),
B
AS (SELECT *,
ROW_NUMBER() OVER (PARTITION BY BNAME ORDER BY BID) AS RN
FROM TableB)
SELECT A.ID,
A.NAME,
A.VALUE,
B.BID,
B.BNAME,
B.BVALUE
FROM A
JOIN B
ON A.NAME = B.BNAME
AND A.RN = B.RN