I have a query that returns data with group category and some details like this:
Category | Title
==================
cat1 --- titlex
cat1 --- titley
cat2 --- titley
cat3 --- titlez
cat3 --- titlex
cat4 --- titlex
I want to display a table that has row number on outer group (Category) like this:
RN | Category | Title
======================
1 cat1
titlex
titley
2 cat2
titley
3 cat3
titlez
titlex
4 cat4
titlex
The problem is, when I add RN column as ROW_NUMBER in sql query or ROWNUMBER SSRS function (tried NOTHING, Group and Details as a scope, just in case), I always get numbers like 2 1 2 or 1 3 4 6 for RN column.
EDIT
Sql Query (table names and properties changed for simplicity)
SELECT
-- this rownumber does not work, counts every occurrence of category
--ROW_NUMBER() OVER (
--PARTITION BY c.Name -- tried this too, this resets on each cat
--ORDER BY c.Name) AS RN,
c.Name,
p.Name
FROM
Products p INNER JOIN
Categories c ON p.CategoryId = c.Id
GROUP BY c.Name, p.Name
ORDER BY c.Name, p.Name
You don't want the row numbers (as you've observed, the row numbers are assigned to every... um... row).
Maybe you want DENSE_RANK?
SELECT
DENSE_RANK() OVER (ORDER BY c.Name) AS RN,
c.Name,
p.Name
FROM
Products p INNER JOIN
Categories c ON p.CategoryId = c.Id
GROUP BY c.Name, p.Name
ORDER BY c.Name, p.Name
As to your desired output, I wouldn't attempt to achieve that in SQL - use a reporting/formatting tool to get the final layout.
You can also accomplish this at the presentation layer in SSRS:
=RunningValue(Fields!CategoryFieldName.Value, CountDistinct, Nothing)
Related
I'm trying to perform recursive cte with postgres but I can't wrap my head around it. In terms of performance issue there are only 50 items in TABLE 1 so this shouldn't be an issue.
TABLE 1 (expense):
id | parent_id | name
------------------------------
1 | null | A
2 | null | B
3 | 1 | C
4 | 1 | D
TABLE 2 (expense_amount):
ref_id | amount
-------------------------------
3 | 500
4 | 200
Expected Result:
id, name, amount
-------------------------------
1 | A | 700
2 | B | 0
3 | C | 500
4 | D | 200
Query
WITH RECURSIVE cte AS (
SELECT
expenses.id,
name,
parent_id,
expense_amount.total
FROM expenses
WHERE expenses.parent_id IS NULL
LEFT JOIN expense_amount ON expense_amount.expense_id = expenses.id
UNION ALL
SELECT
expenses.id,
expenses.name,
expenses.parent_id,
expense_amount.total
FROM cte
JOIN expenses ON expenses.parent_id = cte.id
LEFT JOIN expense_amount ON expense_amount.expense_id = expenses.id
)
SELECT
id,
SUM(amount)
FROM cte
GROUP BY 1
ORDER BY 1
Results
id | sum
--------------------
1 | null
2 | null
3 | 500
4 | 200
You can do a conditional sum() for only the root row:
with recursive tree as (
select id, parent_id, name, id as root_id
from expense
where parent_id is null
union all
select c.id, c.parent_id, c.name, p.root_id
from expense c
join tree p on c.parent_id = p.id
)
select e.id,
e.name,
e.root_id,
case
when e.id = e.root_id then sum(ea.amount) over (partition by root_id)
else amount
end as amount
from tree e
left join expense_amount ea on e.id = ea.ref_id
order by id;
I prefer doing the recursive part first, then join the related tables to the result of the recursive query, but you could do the join to the expense_amount also inside the CTE.
Online example: http://rextester.com/TGQUX53703
However, the above only aggregates on the top-level parent, not for any intermediate non-leaf rows.
If you want to see intermediate aggregates as well, this gets a bit more complicated (and is probably not very scalable for large results, but you said your tables aren't that big)
with recursive tree as (
select id, parent_id, name, 1 as level, concat('/', id) as path, null::numeric as amount
from expense
where parent_id is null
union all
select c.id, c.parent_id, c.name, p.level + 1, concat(p.path, '/', c.id), ea.amount
from expense c
join tree p on c.parent_id = p.id
left join expense_amount ea on ea.ref_id = c.id
)
select e.id,
lpad(' ', (e.level - 1) * 2, ' ')||e.name as name,
e.amount as element_amount,
(select sum(amount)
from tree t
where t.path like e.path||'%') as sub_tree_amount,
e.path
from tree e
order by path;
Online example: http://rextester.com/MCE96740
The query builds up a path of all IDs belonging to a (sub)tree and then uses a scalar sub-select to get all child rows belonging to a node. That sub-select is what will make this quite slow as soon as the result of the recursive query can't be kept in memory.
I used the level column to create a "visual" display of the tree structure - this helps me debugging the statement and understanding the result better. If you need the real name of an element in your program you would obviously only use e.name instead of pre-pending it with blanks.
I could not get your query to work for some reason. Here's my attempt that works for the particular table you provided (parent-child, no grandchild) without recursion. SQL Fiddle
--- step 1: get parent-child data together
with parent_child as(
select t.*, amount
from
(select e.id, f.name as name,
coalesce(f.name, e.name) as pname
from expense e
left join expense f
on e.parent_id = f.id) t
left join expense_amount ea
on ea.ref_id = t.id
)
--- final step is to group by id, name
select id, pname, sum(amount)
from
(-- step 2: group by parent name and find corresponding amount
-- returns A, B
select e.id, t.pname, t.amount
from expense e
join (select pname, sum(amount) as amount
from parent_child
group by 1) t
on t.pname = e.name
-- step 3: to get C, D we union and get corresponding columns
-- results in all rows and corresponding value
union
select id, name, amount
from expense e
left join expense_amount ea
on e.id = ea.ref_id
) t
group by 1, 2
order by 1;
I have this datatables:
table1
id category
-------------
1 a
2 b
3 c
table2
id heading category_id
----------------------
1 name 1
2 adddress 2
3 phone 3
4 email 1
I want to group this table and display the latest data for that the following query was I used:
SELECT news.id,news.image,news.heading,news.description,
news.date,news.category_id,categories.category
FROM `news`
INNER JOIN categories On news.category_id=categories.id
group by category_id
But I didnt get the latest data that I entered.
Try the query below:
SELECT *
FROM table2 AS tb2 LEFT JOIN table1 AS tb1 ON tb2.category_id = tb1.id
ORDER BY tb1.id
GROUP BY tb2.category_id
In my postgres table, I have two columns of interest: id and name - my goal is to only keep records where id has more than one value in name. In other words, would like to keep all records of ids that have multiple values and where at least one of those values is B
UPDATE: I have tried adding WHERE EXISTS to the queries below but this does not work
The sample data would look like this:
> test
id name
1 1 A
2 2 A
3 3 A
4 4 A
5 5 A
6 6 A
7 7 A
8 2 B
9 1 B
10 2 B
and the output would look like this:
> output
id name
1 1 A
2 2 A
8 2 B
9 1 B
10 2 B
How would one write a query to select only these kinds records?
Based on your description you would seem to want:
select id, name
from (select t.*, min(name) over (partition by id) as min_name,
max(name) over (partition by id) as max_name
from t
) t
where min_name < max_name;
This can be done using EXISTS:
select id, name
from test t1
where exists (select *
from test t2
where t1.id = t2.id
and t1.name <> t2.name) -- this will select those with multiple names for the id
and exists (select *
from test t3
where t1.id = t3.id
and t3.name = 'B') -- this will select those with at least one b for that id
Those records where for their id more than one name shines up, right?
This could be formulated in "SQL" as follows:
select * from table t1
where id in (
select id
from table t2
group by id
having count(name) > 1)
I have 2 tables
students:
id | name | age
1 abc 20
2 xyz 21
scores:
id | studentid | marks
1 1 20
2 2 22
3 2 20
4 1 22
5 1 20
where studentid is foreign key to students table
When a do
select studentid
from scores
where marks=20;
I get the following result
1, 2, 1
But if want the name of the student name and when I do a join using
select t1.name
from students t1
inner join scores t2 on t1.id = t2.studentid
where t2.marks=20;
I get xyz,abc,abc Though the ouput is correct is there any way I can maintain the order in which scores are listed in the scores table? I should get abc,xyz,abc as output. I tried using subquery as well
SELECT name
FROM students
WHERE ID IN ( select studentid from scores where marks=20) ;
but that also did not give me correct order. How can this be achieved using CTEs (common table expressions)? I tried the follownig cte but it did not work
with cte as(
select t2.id, t1.name
from students t1
inner join scores t2 on t1.id = t2.studentid
where t2.marks=20)
select name from cte order by id
You can order by a column not present in select list:
select t1.name
from students t1
inner join scores t2 on t1.id = t2.student_id
where t2.marks=20
order by t2.id;
name
------
abc
xyz
abc
(3 rows)
Let us consider that we have Categories (with PK as CategoryId) and Products (with PK as ProductId). Also, assume that every Category can relate to its parent category (using ParentCategoryId column in Categories).
How can I get Category wise product count? The parent category should include the count of all products of all of its sub-categories as well.
Any easier way to do?
sounds like what you are asking for would be a good use for with rollup
select cola, colb, SUM(colc) AS sumc
from table
group by cola, colb
with rollup
This would give a sum for colb and a rollup sum for cola. Example result below. Hope the formatting works. The null values are the rollup sums for the group.
cola colb sumc
1 a 1
1 b 4
1 NULL 5
2 c 2
2 d 3
2 NULL 5
NULL NULL 10
Give it a go and let me know if that has worked.
--EDIT
OK i think ive got this as it is working on a small test set i am using. Ive started to see a place where i need this myself so thanks for asking the question. I will admit this is a bit messy but should work for any number of levels and will only return the sum at the highest level.
I made an assumption that there is a number field in products.
with x
as (
select c.CategoryID, c.parentid, p.number, cast(c.CategoryID as varchar(8000)) as grp, c.CategoryID as thisid
from Categories as c
join Products as p on p.Categoryid = c.CategoryID
union all
select c.CategoryID, c.parentid, p.number, cast(c.CategoryID as varchar(8000))+'.'+x.grp , x.thisid
from Categories as c
join Products as p on p.Categoryid = c.CategoryID
join x on x.parentid = c.CategoryID
)
select x.CategoryID, SUM(x.number) as Amount
from x
left join Categories a on (a.CategoryID = LEFT(x.grp, case when charindex('.',x.grp)-1 > 0 then charindex('.',x.grp)-1 else 0 end))
or (a.CategoryID = x.thisid)
where a.parentid = 0
group by x.CategoryID
Assuming that Products can only point to a subcategory, here's a probable solution to the problem:
SELECT
cp.CategoryId,
ProductCount = COUNT(*)
FROM Products p
INNER JOIN Categories cc ON p.CategoryId = cc.CategoryId
INNER JOIN Categories cp ON cc.ParentCategoryId = cp.CategoryId
GROUP BY cp.CategoryId
But if the above assumption is wrong and a product can reference a parent category directly as well as a subcategory, then here's how you could count the products in this case:
SELECT
CategoryId = ISNULL(c2.CategoryId, c1.CategoryId),
ProductCount = COUNT(*)
FROM Products p
INNER JOIN Categories c1 ON p.CategoryId = c1.CategoryId
LEFT JOIN Categories c2 ON c1.ParentCategoryId = c2.CategoryId
GROUP BY ISNULL(c2.CategoryId, c1.CategoryId)
EDIT
This should work for 3 levels of hierarchy of categories (category, sub-category, sub-sub-category).
SELECT
CategoryId = COALESCE(c3.CategoryId, c2.CategoryId, c1.CategoryId),
ProductCount = COUNT(*)
FROM Products p
INNER JOIN Categories c1 ON p.CategoryId = c1.CategoryId
LEFT JOIN Categories c2 ON c1.ParentCategoryId = c2.CategoryId
LEFT JOIN Categories c3 ON c2.ParentCategoryId = c3.CategoryId
GROUP BY ISNULL(c3.CategoryId, c2.CategoryId, c1.CategoryId)
COALESCE picks the first non-NULL component. If the category is a child, it picks c3.Category, which is its grand-parent, if a parent, then its parent c2.Category is chosen, otherwise it's a grand-parent (c1.CategoryId).
In the end, it selects only grand-parent categories, and shows product count for them that includes all the subcategories of all levels.