Looking for best way to identify if there is a duplicate across keyed values. For instance, if I have t1 called Item, and t2 called SKU, and I want to join them together, and look for an attribute that is only duplicate across that join, and in the SKU table, what is best way to write that SQL?
Example:
Item = A
SKUs = 1, 2, 3
Duplicate Attribute in SKU table = testdupe
Assumption is that value testdupe appears in SKU table under A - 1, and A - 3, but not in A - 2. Expected results would be to show 2 duplicates. This would then repeat for items B, C, D, etc. and their related SKUs if that join contains an attribute that is duplicated.
Hope that lengthy description is clear and thanks in advance for your input!
Related
I have two tables: violator_state and violator_tags
violator_state:
m_state_id
is_violating
m_translatedid
m_tag
m_violator_tag
This table holds the "tags" which has an unchanging row count of 10 in this case. The purpose is to list out each tag present, connect the full tag address (m_violator_tag) with its shorthand name (m_tag) and state whether it is in "violation". I need to use this table as reference because of the link between m_violator_tag and m_tag.
violator_tags
m_violator_id
m_eval_time_from
m_eval_time_to
m_tag
m_tag_peers
m_tag_position
This table is constantly having new rows added to it holding the information of what tags are in violation with a specific tag. So it would show T6 in violation with T1,T2,T9 ect.
I am looking to create a query which joins the two tables to show only the most recently updated (largest m_eval_time_from) for each tag.
I am using the following query to join the two tables but I expect m_translatedid and m_tag to match but they do not. Unsure why.
SELECT violator_state.m_violator_tag, violator_state.is_violating, violator_state.m_translatedid, violator_tags.m_tag, violator_tags.m_eval_time_to, violator_tags.m_tag_peers,
violator_tags.m_tag_position, violator_tags.m_eval_time_from
FROM violator_tags CROSS JOIN
violator_state
Violation_state table
violation_tags table
results of my (incorrect) query
Any suggestions on what I should try?
Your CROSS JOIN will give you a cartesian product where EVERY row in the first table is paired with ALL the rows in the second table e.g. if you have 10 rows in each, you will get 10 x 10 = 100 rows in the result! I believe you need to join the tables on the m_tag column and select the violator_tags row with the latest date. The query below should do this for you (though you haven't provided your question in a manner that makes it easy for me to double-check my code - see the link provided by a_horse_with_no_name for more on this or use a website like db-fiddle to set up your example).
SELECT vs.m_violator_tag,
vs.is_violating,
vs.m_translatedid,
vt.m_tag,
vt.m_eval_time_to,
vt.m_tag_peers,
vt.m_tag_position,
vt.m_eval_time_from
FROM violator_tags vt
JOIN violator_state vs
ON vt.m_tag = vs.m_tag
AND vt.m_eval_time_from = (SELECT MAX(vt.m_eval_time_from)
FROM violator_tags
WHERE m_tag = vt.m_tag)
I have two tables
tblData_VendorMasterSSPaymentTerms
tblData_VendorMasterSSPaymentTermsCLM
tblData_VendorMasterSSPaymentTerms contains a field labled VMSSPayTerms_AribaContractID which the values exist in table tblData_VendorMasterSSPaymentTermsCLM
So in table tblData_VendorMasterSSPaymentTermsCLM I want to create a calculated column that counts how many records in tblData_VendorMasterSSPaymentTerms contains the Contract ID for that record.
This is what I have put together so far but it is still coming up with an error
SELECT Count(VMSSPayTerms_AribaContractID)
From tblData_VendorMasterSSPaymentTerms
Where VMSSPayTerms_AribaContractID=VMSSPayTermsCLM_ContractID
Can someone help me identify what I am doing wrong here?
You must join the tables, group by VMSSPayTermsCLM_ContractID and count:
select
c.VMSSPayTermsCLM_ContractID,
count(t.VMSSPayTerms_AribaContractID) counter
from tblData_VendorMasterSSPaymentTermsCLM c inner join tblData_VendorMasterSSPaymentTerms t
on t.VMSSPayTerms_AribaContractID = c.VMSSPayTermsCLM_ContractID
group by c.VMSSPayTermsCLM_ContractID
Ok, I have situation where I need to create SQL query which will return for me ids from table1 (products) which was ordered by table2 (category) and limited by 10 for each category.
So, what I need. Select product ids which was appeared on "top 10" (limited by 10) results in each category after ordering of those products. Each product has some columns and I order by those columns. The same product can appear on different categories on top 10, for example. So I need use distinct for uniq results.
Is there any relationship between Product and Category? What at the Product columns you're ordering by? Is it ok for there to be duplication between different lists of products? You should really post you models/sql tables and more clearly explain what you're trying to do if you want real help.
Assuming they're many-to-many/the relationships are set up in rails and having the same products in multiple lists is ok I would do something like this
top_products = {}
Category.all.each do |cat|
top_products[cat.name] = cat.products.order("some_product_column DESC").limit(10).map{|p| p.id}
end
I am working on a database with products and lot numbers. Each entry in the Lots table has a Lot Number and a Product description.
Sometimes there are multiple records of the same lot number, for example when an item is repacked a new record is created, but with the same Lot Number and same product description - this is fine. But other times there are problem cases, namely when two different products share the same Lot Number. I am trying to find those.
In other words, there are 3 possibilities:
Lot numbers for which there is only one record in the table.
Lot numbers for which there are multiple records, but the Product description is the same for all of them
Lot numbers for which there are multiple records, and the product descriptions are not all the same.
I need to return only #3, with a separate record for each instance of that Lot Number and product description.
Any help would be greatly appreciated.
Thanks Juan for the sample data. Using this example, I want to return the data contained in Id 2-8, but not 1, 9, 10, 11.
This wasn't easy because lot of time don't use access.
First select unique values using distinct.
Then count how many diferent product appear on each lotnumber using group by
Last join both result and show only the lots with more than one description where total >1
.
SELECT id, Product.lotnumber, Product.Product, total
FROM
Product Inner join
(
SELECT lotnumber, count(*) as total
FROM
(SELECT distinct lotnumber, product
FROM Product)
GROUP BY lotnumber
) SubT On Product.lotnumber = SubT.lotnumber
WHERE total > 1
ORDER BY id
As you can see :
lot 2 have two products (yy and zz)
lot 3 have thre products (aa, bb, cc)
I include my product table:
Sorry for spanish. Field types are Autonumeric, Short Text, and Number
I have two tables. One is a list of all categories. The other is a list of categories a thing might belong to. A thing can belong to more than one category (it might have more than one record in table two)
So, I have
table:
categories
1, horror
2, romance
3, post modern
4, Canadian
5, English
...
2340
Then another table, thingsToCategories, with two columns (thingID, categoryID)
thingID categoryID
6323-01 1
6323-01 4
6323-01 5
1342-01 2
1342-01 4
Given a thingID, I need a list of all categories (as in select * from table A), with an indication of whether that thing ID exists in table B
So, given thingID of 6323-01, I need a list like this:
1, horror selected
2, romance
3, post modern
4, Canadian selected
5, English selected
My SQL skills are rusty and bad enough I'm not even sure what sort of join to use. Can anyone give any pointers?
(I inherited this database, fwiw)
I think you're looking for an INNER JOIN
SELECT * FROM categories
INNER JOIN thingsToCategories ON categories.CategoryID = thingsToCategories.CategoryID
WHERE thingsToCategories.thingID ='6323-01'
INNER JOIN will ensure a selection based on records that match in both tables.