Hi just thought I'd ask in case someone has already went through the big Magento database.
I'm trying to export a list of all products in the database.
Name
Price
SKU
URL
Stock level
the usual.
I could go through the tables manually but just seeing if anyone already has the list of essential tables sitting around. Thanks!
Here you go:
select name, sku, url_path, qty as stock_level
from catalog_product_flat_1 c1
inner join cataloginventory_stock_status c2 on c1.entity_id = c2.product_id
;
Do not forget to adjust the store_id in 'catalog_product_flat_1' to make it match the store you want...
EDIT: The image path of the base image should be added in the last column:
select name, sku, url_path, qty as stock_level ,c3.value as base_image
from catalog_product_flat_1 c1
inner join cataloginventory_stock_status c2 on c1.entity_id = c2.product_id
left outer join catalog_product_entity_varchar c3 ON c3.entity_id = c1.entity_id AND c3.attribute_id = (select attribute_id from eav_attribute where attribute_code = 'image' and entity_type_id = 4 and store_id IN (0,1))
;
Do not forget to adjust the store_id in 'catalog_product_flat_1' and in the IN() condition (but leave the 0) to make it match the store you want...
Related
While working with postgres db, I came across a situation where I will have to display column names based on their ids stored in a table with comma separated. Here is a sample:
table1 name: labelprint
id field_id
1 1,2
table2 name: datafields
id field_name
1 Age
2 Name
3 Sex
Now in order to display the field name by picking ids from table1 i.e. 1,2 from field_id column, I want the field_name to be displayed in same order as their respective ids as
Expected result:
id field_id field_name
1 2,1 Name,Age
To achieve the above result, I have written the following query:
select l.id,l.field_id ,string_agg(d.field_name,',') as field_names
from labelprint l
join datafields d on d.id = ANY(string_to_array(l.field_id::text,','))
group by l.id
order by l.id
However, the string_agg() functions sort the final string in ascending order and displays the output as shown below:
id field_id field_name
1 2,1 Age, Name
As you can see the order is not maintained in the field_name column which I want to display as per field_id value order.
Any suggestion/help is highly appreciated.
Thanks in advance!
Already mentioned in the description.
While this will probably be horrible for performance, as well as readability and maintainability, you can dynamically compute the order you want:
select l.id,l.field_id,
string_agg(d.field_name,','
order by array_position(string_to_array(l.field_id::text,','),d.id)
) as field_names
from labelprint l
join datafields d on d.id = ANY(string_to_array(l.field_id::text,','))
group by l.id
order by l.id;
You should at least store your array as an actual array, not as a comma delimited string. Or maybe use an intermediate table and don't store arrays at all.
With a small modification to your existing query you could do it as follows :
select l.id, l.field_id, string_agg(d.field_name,',') as field_names
from labelprint l
join datafields d on d.id::varchar = ANY(string_to_array(l.field_id,','))
group by l.id, l.field_id
order by l.id
Demo here
I have a table products that contains a snapshot of an entire product line at a current timestamp.
So each day the entire product table is saved in this same table, with the timestamp.
product_id price inventory_count snapshot
1 22 23 20160915
1 22 20 20160916
I want to query this table, and list all products where the inventory_count changed.
How can I do this?
I'm not sure how I can inner join the table on itself using the snapshot somehow to differentiate them.
You can do this using a self join:
select p.*, p2.inventory_count
from products p join
products p2
on p.product_id = p2.product_id and
p.timestamp = 20160915 and
p2.timestamp = 20160916
where p.inventory_count <> p2.inventory_count;
This only lists products in both snapshots. You may want to find missing products as well. If so, use full join:
select p.*, p2.inventory_count
from products p full join
products p2
on p.product_id = p2.product_id and
p.timestamp = 20160915 and
p2.timestamp = 20160916
where p.inventory_count <> p2.inventory_count or
p.product_id is null or p2.product_id is null;
I have a table that holds 3 fields of data: Acct#, YMCode, and EmployeeID. The YMCode is an Int that is formatted 201308, 201307, etc. For each Acct#, I need to select the EmployeedID used for the YMCode 201308 and then update all of the other YMCodes for the Acct# to the EmployeedID used in 201308.
so for each customer account in the table...
Update MyTable
Set EmployeeID = EmployeeID used in YMCode 201308
Having a hard time with it.
Put it in a transaction and look at the results before committing, but I think this is what you want:
UPDATE b
SET EmployeeID = a.EmployeeID
FROM MyTable a
INNER JOIN MyTable b
ON a.[Acct#] = b.[Acct#]
where a.YMCode =
(SELECT MAX(YMCode) from MyTable)
To get max YMCode, just add select statement at the end.
I've got two tables in my database. One of them, 'orders', contains a set of columns with an integer which represents what the order should contain (like 5 of A and 15 of B). The second table, 'production_work', contains those same order columns, and a date, so whenever somebody completes part of an order, I track it.
So now i need a fast way to know which orders are completed, and I'm hoping to avoid a 'completed' table on the first column as orders are editable and it's just more logic to keep correct.
This query works, but it's horribly written. What's a better way to do this? There are actually 12 of these columns that go into this query...I'm just showing 3 of them for the example.
SELECT *
FROM orders o
WHERE ud = (SELECT SUM(ud) FROM production_work WHERE order_id = o.ident)
AND dp = (SELECT SUM(dp) FROM production_work WHERE order_id = o.ident)
AND swrv = (SELECT SUM(swrv) FROM production_work WHERE order_id = o.ident)
select o.*
from
orders o
inner join
(
select order_id, sum(ud) as ud, sum(dp) as dp, sum(swrv) as swrv
from production_work
group by order_id
) pw on o.ident = pw.order_id
where
o.ud = pw.ud
and o.dp = pw.dp
and o.swrv = pw.swrv
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.