In SQL I am trying to get two rows to fuse when their name is the same.
Right now I have a SQL query that looks like this:
SELECT TABLE.Name, SUM(TABLE.Value) AS VALUE1, 0 AS VALUE2
FROM TABLE
WHERE TABLE.Bool = true
GROUP BY TABLE.Name
SELECT TABLE.Name, 0 AS VALUE1, SUM(TABLE.Value) AS VALUE2
FROM TABLE
WHERE TABLE.Bool = false
GROUP BY TABLE.Name
Which give me a result lookin like this :
|Name |Value1 |Value2 |
------------------------------
|Name1 |1000 |0 |
|Name2 |2000 |0 |
|Name3 |3000 |0 |
|Name |Value1 |Value2 |
------------------------------
|Name1 |0 |0001 |
|Name2 |0 |0002 |
|Name3 |0 |0003 |
Using the UNION operator would yield a result such as this:
|Name |Value1 |Value2 |
------------------------------
|Name1 |1000 |0 |
|Name2 |2000 |0 |
|Name3 |3000 |0 |
|Name1 |0 |0001 |
|Name2 |0 |0002 |
|Name3 |0 |0003 |
The result I'd like to obtain is something like this:
|Name |Value1 |Value2 |
------------------------------
|Name1 |1000 |0001 |
|Name2 |2000 |0002 |
|Name3 |3000 |0003 |
Note :
Due to the way the table is built, both selects can return a different number of rows.
A bit of precision about the construction of the table :
The displayed column Value1 and Value 2 both come from the same column, of the same table, and use the same dataset. The only difference is that sometime a condition is met and other time not.
The table can have several fields with the same name, but we want to display only one result for each name.
I cannot modify the table, or its structure in any way, shape or form, even if I think the structure could be improved a lot.
If anyone knows of a way to do this, it would help a lot.
You can use conditional aggregation:
SELECT TABLE.Name,
SUM(case when TABLE.Bool = true then TABLE.Value else 0 end) AS VALUE1,
SUM(case when TABLE.Bool = false then TABLE.Value else 0 end) AS VALUE2
FROM TABLE
GROUP BY TABLE.Name
VALUE1 returns the sum of Value when the condition is met, whereas VALUE2 returns the sum of Value for the rest of the records.
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
Background
Forgive the title of this question, as I'm not really sure how to describe what I'm trying to do.
I have a SQL table, d, that looks like this:
+--+---+------------+------------+
|id|sex|event_type_1|event_type_2|
+--+---+------------+------------+
|a |m |1 |1 |
|b |f |0 |1 |
|c |f |1 |0 |
|d |m |0 |1 |
+--+---+------------+------------+
The Problem
I'm trying to write a query that yields the following summary of counts of event_type_1 and event_type_2 cut (grouped?) by sex:
+-------------+-----+-----+
| | m | f |
+-------------+-----+-----+
|event_type_1 | 1 | 1 |
+-------------+-----+-----+
|event_type_2 | 2 | 1 |
+-------------+-----+-----+
The thing is, this seems to involve some kind of transposition of the 2 event_type columns into rows of the query result that I'm not familiar with as a novice SQL user.
What I've tried
I've so far come up with the following query:
SELECT event_type_1, event_type_2, count(sex)
FROM d
group by event_type_1, event_type_2
But that only gives me this:
+------------+------------+-----+
|event_type_1|event_type_2|count|
+------------+------------+-----+
|1 |1 |1 |
|1 |0 |1 |
|0 |1 |2 |
+------------+------------+-----+
You can use a lateral join to unpivot the data. Then use conditional aggregate to calculate m and f:
select v.which,
count(*) filter (where d.sex = 'm') as m,
count(*) filter (where d.sex = 'f') as f
from d cross join lateral
(values (d.event_type_1, 'event_type_1'),
(d.event_type_2, 'event_type_2')
) v(val, which)
where v.val = 1
group by v.which;
Here is a db<>fiddle.
sql: I have a table like this:
+------+------+
|ID |Result|
+------+------+
|1 |A |
+------+------+
|2 |A |
+------+------+
|3 |A |
+------+------+
|1 |B |
+------+------+
|2 |B |
+------+------+
The output should be something like:
Output:
+------+-------+-------+
|ID |Result1|Result2|
+------+-------+-------+
|1 |A |B |
+------+-------+-------+
|2 |A |B |
+------+-------+-------+
|3 |A | |
+------+-------+-------+
How can I do this?
SELECT
Id,
MAX((CASE result WHEN 'A' THEN 'A' ELSE NULL END)) result1,
MAX((CASE result WHEN 'B' THEN 'B' ELSE NULL END)) result2,
FROM
table1
GROUP BY Id
results
+------+-------+-------+
|Id |Result1|Result2|
+------+-------+-------+
|1 |A |B |
|2 |A |B |
|3 |A |NULL |
+------+-------+-------+
run live demo on SQL fiddle: (http://sqlfiddle.com/#!9/e1081/2)
there are a few ways to do it.
None of tehm a are straight forward.
in theory, a simple way would be to create 2 temporary tables, where you separte the data, all the "A" resultas in one table and "B" in another table.
Then get the results with simple query. using JOIN.
if you are allowed to use some scrpting on the process then it is simpler, other wise you need a more complex logic on your query. And for you query to alwasy work, you need to have some rules like, A table always contains more ids than B table.
If you post your real example, it is easier to get better answers.
for this reason:
ID Name filename
1001 swapan 4566.jpg
1002 swapan 678.jpg
1003 karim 7688.jpg
1004 tarek 7889.jpg
1005 karim fdhak.jpg
output:
ID Name filename
1001 swapan 4566.jpg 678.jpg
1003 karim 7688.jpg fdhak.jpg
1004 tarek 7889.jpg ...
.. ... ... ...
I have a table like this.
----------------
|Id | Name |
----------------
|1 |Apple |
|2 |banana |
|3 |Orange |
|4 |Grapes |
|5 |Mango |
----------------
I need middle character from each string.My result is to be like this
--------------------
|Id | Name |MidChar|
------------------------
|1 |Apple | p |
|2 |banana | n(or)a|
|3 |Orange | a(or)n|
|4 |Grape | a |
|5 |Mango | n |
-------------------
Please give some solutions or ideas.
Use LEN and Substring function
Try this
declare #Name varchar(10) = 'Apple'
select substring(#Name,LEN(#Name)/2+1,1)
I would suggest you try the below query. It should suit all your specified requirements.
SELECT [Id],[Name],CASE WHEN LEN(Name)%2 != 0
THEN SUBSTRING(Name,LEN(Name)/2+1,1)
ELSE SUBSTRING(Name,LEN(Name)/2,1)+' (or) '+ SUBSTRING(Name,LEN(Name)/2 + 1,1)
END AS [MidChar]
FROM [yourTable]
Kindly share your feedback.
Try the below script,
SELECT Id,Name,SUBSTRING(Name,CEILING(LEN(Name)/2.0),1) AS MidChar
FROM MyTable
I need to get the min and max score of group ids, but only if they are enabled:
cdu_group_sl: cdu_group_cc: cdu_group_ph:
-------------------- -------------------- --------------------
|id |name |enabled | |id |name |enabled | |id |name |enabled |
-------------------- -------------------- --------------------
|1 |sl_1 |1 | |1 |cc_1 |1 | |1 |ph_1 |0 |
|2 |sl_3 |1 | |2 |cc_2 |0 | |2 |ph_2 |1 |
|3 |sl_4 |1 | |3 |cc_3 |1 | |3 |ph_3 |1 |
-------------------- -------------------- --------------------
Scores are found in a separate table:
cdu_user_progress
----------------------------------
|id |group_type |group_id |score |
----------------------------------
|1 |sl |1 |50 |
|1 |cc |1 |10 |
|1 |ph |1 |20 |
|1 |sl |2 |80 |
|1 |sl |3 |20 |
|1 |cc |3 |30 |
|1 |sl |1 |40 |
|1 |ph |1 |50 |
|1 |cc |1 |40 |
|1 |ph |2 |90 |
----------------------------------
I need to get a max and min score for each type of group for only enabled groups (for each type):
---------------------------------------------
|group_type |group_id |min_score |max_score |
---------------------------------------------
|sl |1 |40 |50 |
|sl |2 |80 |80 |
|sl |3 |20 |20 |
|cc |1 |10 |40 |
|cc |3 |30 |30 |
|ph |1 |20 |50 |
|ph |2 |90 |90 |
---------------------------------------------
Any idea what the query might be??? So far I have:
SELECT * FROM cdu_user_progress
JOIN cdu_group_sl ON (cdu_group_sl.id = cdu_user_progress.group_id AND cdu_user_progress.group_type = 'sl')
JOIN cdu_group_cc ON (cdu_group_cc.id = cdu_user_progress.group_id AND cdu_user_progress.group_type = 'cc')
JOIN cdu_group_ph ON (cdu_group_ph.id = cdu_user_progress.group_id AND cdu_user_progress.group_type = 'ph')
WHERE cdu_user_progress.uid = $student->uid
AND (cdu_user_progress.group_type = 'sl' AND cdu_group_sl.enabled = 1)
AND (cdu_user_progress.group_type = 'cc' AND cdu_group_cc.enabled = 1)
AND (cdu_user_progress.group_type = 'ph' AND cdu_group_ph.enabled = 1)
Probably completely wrong...
what about using a union to pick the groups you are interested in - something like:
select group_type, group_id min(score) min_score, max(score) max_score
from (
select id, 'sl' grp from cdu_group_sl where enabled = 1
union all
select id, 'cc' from cdu_group_cc where enabled = 1
union all
select id, 'ph' from cdu_group_ph where enabled = 1
) grps join cdu_user_progress scr
on grps.id = scr.group_id and grps.grp = scr.group_type
group by scr.group_type, scr.group_id
The following is probably the fastest way to do this query. To optimize this, you should have an index on group_id, enabled on each of the three "sl", "cc", and "ph" tables:
select cup.*
from cdu_user_progress cup
where (cup.group_type = 'sl' and
exists (select 1
from cdu_group_sl sl
where sl.id = cup.group_id and
sl.enabled = 1
)
) or
(cup.group_type = 'cc' and
exists (select 1
from cdu_group_cc cc
where cc.id = cup.group_id and
cc.enabled = 1
)
) or
(cup.group_type = 'ph' and
exists (select 1
from cdu_group_ph ph
where ph.id = cup.group_id and
ph.enabled = 1
)
)
As a note, having three tables with the same structure is usually a sign of a poor database schema. These three tables should probably be combined into a single table, which would make this query much easier to write.
If you are just starting up this project, I would recommend refining your data structure. Based on what you showed, you could benefit from only one cdu_groups table with a reference to a new cdu_group_types table, and removing the group_type column from cdu_user_progress.
If this is an established project, where changing the structure would be too disruptive... then one of the other answers showing a query would be a better/easier fit.
Otherwise, you could simplify things with restructured tables and end up with a query like:
SELECT group_type,
group_id,
MIN(score) as min_score,
MAX(score) as max_score
FROM cdu_user_progress c
INNER JOIN cdu_groups g
ON c.group_id=g.id
INNER JOIN cdu_group_types t
ON g.group_type_id=t.id
WHERE enabled=1
GROUP BY group_type, group_id
This is shown, with expected results, in this SQLFiddle. With this structure you can add new group types as you want (and also cut down on amount of tables and joins). Tables would be (simplified in this code below, no FKs or anything):
CREATE TABLE cdu_user_progress
(id INT, group_id INT, score INT)
CREATE TABLE cdu_group_types
(id INT, group_type VARCHAR(3))
CREATE TABLE cdu_groups
(id INT, group_type_id INT, name VARCHAR(10), enabled BIT NOT NULL DEFAULT 1)
Granted moving data to a new structure may be a pain or not reasonable... but wanted to throw this out there as a possibility or just something to chew on.