I have the table in my postgres db below. I would like to know how many times the the values (name1, name2, name3) occur in the table where trial is 1.
In the case below the expected output:
name1, 4
name2, 3
name3, 2
+--------------+
| id|name|trial|
+--------------+
|1 |name1|1 |
|2 |name1|1 |
|3 |name1|1 |
|4 |name1|1 |
|5 |name2|1 |
|6 |name2|1 |
|7 |name2|1 |
|8 |name3|1 |
|9 |name3|1 |
What I tried so far:
SELECT count(C.NAME)
FROM FIRST AS C
WHERE NAME = (
SELECT CS.NAME
FROM FIRST AS CS
WHERE TRIAL = 1
GROUP BY CS.NAME
)
this query returns with 9, which is number of rows.
You're missing the group by clause. Also, the query can be simplified, try this:
SELECT count(1), Name
FROM FIRST
WHERE TRIAL = 1
GROUP BY Name
Related
Background
I'm a novice Postgres user running a local server on a Windows 10 machine. I've got a dataset g that looks like this:
+--+---------+----------------+
|id|treatment|outcome_category|
+--+---------+----------------+
|a |1 |cardiovascular |
|a |0 |cardiovascular |
|b |0 |metabolic |
|b |0 |sensory |
|c |1 |NULL |
|c |0 |cardiovascular |
|c |1 |sensory |
|d |1 |NULL |
|d |0 |cns |
+--+---------+----------------+
The Problem
I'd like to get a count of outcome_category by outcome_category for those id who are "ever treated" -- defined as "id's who have any row where treatment=1".
Here's the desired result:
+----------------+---------+
|outcome_category| count |
+----------------+---------+
|cardiovascular | 3 |
|sensory | 1 |
|cns | 1 |
+----------------+---------+
It would be fine if the result had to contain metabolic, like so:
+----------------+---------+
|outcome_category|treatment|
+----------------+---------+
|cardiovascular | 3 |
|metabolic | 0 |
|sensory | 1 |
|cns | 1 |
+----------------+---------+
Obviously I don't need the rows to be in any particular order, though descending would be nice.
What I've tried
Here's a query I've written:
select treatment, outcome_category, sum(outcome_ct)
from (select max(treatment) as treatment,
outcome_category,
count(outcome_category) as outcome_ct
from g
group by outcome_category) as sub
group by outcome_category, sub.treatment;
But it's a mishmash result:
+---------+----------------+---+
|treatment|outcome_category|sum|
+---------+----------------+---+
|1 |cardiovascular |3 |
|1 |sensory |2 |
|0 |metabolic |1 |
|1 |NULL |0 |
|0 |cns |1 |
+---------+----------------+---+
I'm trying to identify the "ever exposed" id's using that first line in the subquery: select max(treatment) as treatment. But I'm not quite getting at the rest of it.
EDIT
I realized that the toy dataset g I originally gave you above doesn't correspond to the idiosyncrasies of my real dataset. I've updated g to reflect that many id's who are "ever treated" won't have a non-null outcome_category next to a row with treatment=1.
Interesting little problem. You can do:
select
outcome_category,
count(x.id) as count
from g
left join (
select distinct id from g where treatment = 1
) x on x.id = g.id
where outcome_category is not null
group by outcome_category
order by count desc
Result:
outcome_category count
----------------- -----
cardiovascular 3
sensory 1
cns 1
metabolic 0
See running example at db<>fiddle.
This would appear to be just a simple aggregation,
select outcome_category, Count(*) count
from t
where treatment=1
group by outcome_category
order by Count(*) desc
Demo fiddle
I'm trying to create a query on Access 2010 which only produces a single row per patient. There are a really small number of patients (each patient represented by
a unique nhs_number in the table n) who are listed as having 2 practices in the table pp and so two rows are generated for them. Is there a way I can arbitrarily select one of the practices and ignore the other?
This is the query:
SELECT DISTINCT
n.nhs_number,
IIF(ch.care_home_date>#2/1/1900#, "TRUE", "FALSE") AS care_home,
pp.practice
FROM (nhs_no_tbl AS n
LEFT JOIN patient_practice_tbl AS pp ON n.nhs_number = pp.nhs_number)
LEFT JOIN patient_care_home_tbl AS ch ON n.nhs_number = ch.nhs_number;
The tables the query is using contains data along these lines:
nhs_no_tbl:
|nhs_number|
| -------- |
|1 |
|2 |
|3 |
|4 |
patient_practice_tbl:
|nhs_number|practice|
| -------- | ------ |
|1 |GP_A |
|2 |GP_A |
|3 |GP_B |
|4 |GP_A |
|4 |GP_B |
patient_care_home_tbl:
|nhs_number|care_home_date|
| -------- | ------------ |
|1 |1/5/2000 |
|1 |1/10/2010 |
|4 |26/10/2017 |
At the end, I'd like the query to return the following:
|nhs_number|Care_home|practice|
| -------- | ------- | ------ |
|1 |TRUE |GP_A |
|2 |FALSE | |
|3 |FALSE | |
|4 |TRUE |GP_A [or GP_B] |
I've update the query with CTE,
;WITH cte1 AS ---select all results
(
SELECT DISTINCT nnt.nhs_number,
CASE WHEN pcht.care_home_date IS NULL
THEN 'FALSE'
ELSE 'TRUE'
END AS CareHome,
ppt.practice,
rank()OVER(PARTITION BY nnt.nhs_number ORDER BY ppt.practice) AS R
FROM #nhs_no_tbl nnt
LEFT JOIN #patient_practice_tbl ppt ON nnt.nhs_number = ppt.nhs_number
LEFT JOIN #patient_care_home_tbl pcht ON nnt.nhs_number = pcht.nhs_number
),
CTE2 AS ---choose who may have multiple pracices
(
SELECT nhs_number
FROM CTE1
WHERE R = 2
),
CTE3 AS --- combine GP_A and GP_B
(
SELECT t.nhs_number,STRING_AGG(val,',') AS Practices
FROM
(
SELECT DISTINCT val = cte1.practice, CTE1.nhs_number
FROM #nhs_no_tbl nnt
INNER JOIN CTE2 ON nnt.nhs_number = CTE2.nhs_number
INNER JOIN cte1 ON nnt.nhs_number = CTE1.nhs_number
) t
--RIGHT JOIN #nhs_no_tbl nnt ON t.nhs_number = nnt.nhs_number
GROUP BY t.nhs_number
)
SELECT cte1.nhs_number,cte1.carehome,cte1.practice, cte3.Practices
FROM CTE1
LEFT JOIN cte3 ON cte1.nhs_number = CTE3.nhs_number
The result would be
then next you could store the result into a temp table and update temp table where practices is not null.
I have two tables:
Operations (op_id,super,name,last)
Orders (or_id,number)
Operations:
+--------------------------------+
|op_id| super| name | last|
+--------------------------------+
|1 1 OperationXX 1 |
|2 1 OperationXY 2 |
|3 1 OperationXC 4 |
|4 1 OperationXZ 3 |
|5 2 OperationXX 1 |
|6 3 OperationXY 2 |
|7 4 OperationXC 1 |
|8 4 OperationXZ 2 |
+--------------------------------+
Orders:
+--------------+
|or_id | number|
+--------------+
|1 2UY |
|2 23X |
|3 xx2 |
|4 121 |
+--------------+
I need query to get table:
+-------------------------------------+
|or_id |number |max(last)| name |
|1 2UY 4 OperationXC|
|2 23X 1 OperationXX|
|3 xx2 2 OperationXY|
|4 121 2 OperationXZ|
+-------------------------------------+
use corelared subquery and join
select o.*,a.last,a.name from
(
select super,name,last from Operations from operations t
where last = (select max(last) from operations t2 where t2.super=t.super)
) a join orders o on t1.super =o.or_id
you can use row_number as well
with cte as
(
select * from
(
select * , row_number() over(partition by super order by last desc) rn
from operations
) tt where rn=1
) select o.*,cte.last,cte.name from Orders o join cte on o.or_id=cte.super
SELECT Orders.or_id, Orders.number, Operations.name, Operations.last AS max
FROM Orders
INNER JOIN Operations on Operations.super = Orders.or_id
GROUP BY Orders.or_id, Orders.number, Operations.name;
I don't have a way of testing this right now, but I think this is it.
Also, you didn't specify the foreign key, so the join might be wrong.
Here's my data
|vendorname |total|
---------------------
|Najla |10 |
|Disney |20 |
|Disney |10 |
|ToysRus |5 |
|ToysRus |1 |
|Gap |1 |
|Gap |2 |
|Gap |3 |
|Najla |2 |
Here's the resultset I want
|vendorname |grandtotal|
---------------------
|Disney |30 |
|Gap |6 |
|ToysRus |6 |
|Najla |2 |
|Najla |10 |
If the vendorname = 'Najla' I want individual rows with their respective total otherwise I would like to group them and return a sum of their totals.
This is my query--
select *
from
(
select vendorname, sum(total) grandtotal
from vendor
where vendorname<>'Najla'
group by vendorname
union all
select vendorname, total grandtotal
from vendor
where vendorname='Najla'
) A
I was wondering if there's a better way to write this query instead of repeating it twice and performing a union. Is there a condensed way to group some rows "conditionally".
Honestly, I think the union all version is going to be the best performing and easiest to read option if it has appropriate indexes.
You could, however, do something like this (assuming you have a unique id on your table):
select vendorname, sum(total) grandtotal
from t
group by
vendorname
, case when vendorname = 'Najla' then id else null end
rextester demo: http://rextester.com/OGZQ33364
returns
+------------+------------+
| vendorname | grandtotal |
+------------+------------+
| Disney | 30 |
| Gap | 6 |
| ToysRus | 6 |
| Najla | 10 |
| Najla | 2 |
+------------+------------+
Table w:
|ID|Comment|SeqID|
|1 |bajg | 1 |
|1 |2423 | 2 |
|2 |ref | 1 |
|2 |comment| 2 |
|2 |juk | 3 |
|3 |efef | 1 |
|4 | hy | 1 |
|4 | 6u | 2 |
How do I insert a standard new comment for each ID for a new SeqID (SeqID increase by 1)
The Below query results in the highest SeqID:
Select *
From w
Where SEQID =
(select max(seqid)
from w)
Table w:
|2 |juk | 3 |
Expected Result
Table w:
|ID|Comment|SeqID|
|1 |sqc | 3 |
|2 |sqc | 4 |
|3 |sqc | 2 |
|4 |sqc | 3 |
Will I have to go through and insert all the values (new comment as sqc) I want into the table using the below, or is there a faster way?
INSERT INTO table_name
VALUES (value1,value2,value3,...);
Try this:
INSERT INTO mytable (ID, Comment, SeqID)
SELECT ID, 'sqc', MAX(SeqID) + 1
FROM mytable
GROUP BY ID
Demo here
You are probably better off just calculating the value when you query. Define an identity column on the table, say CommentId and run a query like:
select id, comment,
row_number() over (partition by comment order by CommentId) as SeqId
from t;
What is nice about this approach is that the ids are always sequential, you don't have no opportunities for duplicates, the table does not have to be locked to when inserting, and the sequential ids work even for updates and deletes.