Goal: Create a query to pull the closest cycle count event (Table C) for a product ID based on the inventory adjustments results sourced from another table (Table A).
All records from Table A will be used, but is not guaranteed to have a match in Table C.
The ID column will be present in both tables, but is not unique in either, so that pair of IDs and Timestamps together are needed for each table.
Current simplified SQL
SELECT
A.WHENOCCURRED,
A.LPID,
A.ITEM,
A.ADJQTY,
C.WHENOCCURRED,
C.LPID,
C.LOCATION,
C.ITEM,
C.QUANTITY,
C.ENTQUANTITY
FROM
A
LEFT JOIN
C
ON A.LPID = C.LPID
WHERE
A.facility = 'FACID'
AND A.WHENOCCURRED > '23-DEC-22'
AND A.ADJREASONABBREV = 'CYCLE COUNTS'
ORDER BY A.WHENOCCURRED DESC
;
This is currently pulling the first hit on C.WHENOCCURRED on the LPID matches. Want to see if there is a simpler JOIN solution before going in a direction that creates 2 temp tables based on WHENOCCURRED.
I have a functioning INDEX(MATCH(MIN()) solution in Excel but that requires exporting a couple system reports first and is extremely slow with X,XXX row tables.
If you are using Oracle 12 or later, you can use a LATERAL join and FETCH FIRST ROW ONLY:
SELECT A.WHENOCCURRED,
A.LPID,
A.ITEM,
A.ADJQTY,
C.WHENOCCURRED,
C.LPID,
C.LOCATION,
C.ITEM,
C.QUANTITY,
C.ENTQUANTITY
FROM A
LEFT OUTER JOIN LATERAL (
SELECT *
FROM C
WHERE A.LPID = C.LPID
AND A.whenoccurred <= c.whenoccurred
ORDER BY c.whenoccurred
FETCH FIRST ROW ONLY
) C
ON (1 = 1) -- The join condition is inside the lateral join
WHERE A.facility = 'FACID'
AND A.WHENOCCURRED > DATE '2022-12-23'
AND A.ADJREASONABBREV = 'CYCLE COUNTS'
ORDER BY A.WHENOCCURRED DESC;
Related
I am trying to create a new table by using inner join to combine multiple tables. All, the tables have a primary key/column called reach_id. I have a primary table called q3_studies. I want all of the columns from this table. I then have multiple other tables that have reach_id + another column. I want to JOIN this table ON reach_id that matches q3_studies but only include the other columns (so I don't have redundant reach_id columns). My first attempt seems to work if I run it from SELECT * ... using a LIMIT 1000; at the end, but adds redundant reach_ids.
SELECT * FROM second_schema.q3_studies s
INNER JOIN second_schema.bs_trigger_q3 b ON s.reach_id = b.reach_id
INNER JOIN second_schema.mod_unmod_q3 m ON s.reach_id = m.reach_id LIMIT 1000;
How can I amend this to add only the additional columns (ex: bs_trigger_q3 has an additional columns called bs_trigger, mod_unmod_q3 has an additional column called mod_unmod)?
Secondly, if I try to create a new table, I get an error: column reach_id specified more than one. What am I doing wrong here?
CREATE TABLE first_schema.report_q3 AS
SELECT * FROM second_schema.q3_studies s
INNER JOIN second_schema.bs_trigger_q3 b ON s.reach_id = b.reach_id
INNER JOIN second_schema.mod_unmod_q3 m ON s.reach_id = m.reach_id;
Instead of select * you need to list the columns you want explicitly. This is good practice in any case. It also allows you to rename columns e.g. s.column_A as "foo_column"
In the future the schema may change.
CREATE TABLE first_schema.report_q3 AS
SELECT
s.reach_id,
s.column_A, s.column_B,
b.column_C, b.column_D,
m.column_E, m.column_F
FROM second_schema.q2_studies s
INNER JOIN second_schema.bs_trigger_q3 b ON s.reach_id = b.reach_id
INNER JOIN second_schema.mod_unmod_q3 m ON s.reach_id = m.reach_id
;
If your editor does not help you with column names consider a different editor.
I have this complex data relationship.
POSTGRESQL FIDDLE: https://www.db-fiddle.com/f/vm2z8qLuddzcHEgyaMnCbc/3
"Item Group" has many "items" through "item_ads" table.
So an Item Group has many part_number.
reports table contains the number of clicks for each day for each adgroupid.
Each adgroupid has_many part_numbers. (table: product_ads)
Now, I want to SUM all reports.clicks for each item_groups.id using the part_number to linked the tables.
After this, I have to consider only reports.adgroupid which are included in the part_numbers of item_group. So if "Item group" has three part_number (A, B, C) can be considered all adgroupid that contains A,B, or C but nothing more. If adgroupid contains part_number D it cannot be considered for clicks sum.
Expected results
I have to have a table with lots of item_group_ids.
I am looking for the PostgreSQL query to achieve this table.
First, let's build the query up in parts. It sounds like you already know how to get from item_group and adgroup to part_number, just not about how to join them. I've added a query that removes duplicates for part 1 of your question, but putting them into a CTE:
WITH unique_part_numbers AS (
SELECT DISTINCT item_groups.id AS item_group_id,
part_number
FROM item_groups
JOIN item_ads ON item_group_id = item_groups.id
JOIN items ON items.id = item_ads.item_id
)
SELECT unique_part_numbers.item_group_id, SUM(clicks)
FROM unique_part_numbers
JOIN product_ads ON product_ads.part_number = unique_part_numbers.part_number
JOIN reports ON product_ads.adgroupid = reports.adgroupid
GROUP BY item_group_id
About the second part - it's not possible to do it as you want, because you can have multiple adgroups per item_group - so I added adgroupid as an extra column. I create an array of part_numbers for the adgroup and check, using the #> operator, that all parts that are from the adgroupid are also from the unique_part_numbers.item_group_id.
WITH unique_part_numbers AS (
SELECT DISTINCT item_groups.id AS item_group_id,
part_number
FROM item_groups
JOIN item_ads ON item_group_id = item_groups.id
JOIN items ON items.id = item_ads.item_id
)
SELECT unique_part_numbers.item_group_id,
product_ads.adgroupid,
array_agg(unique_part_numbers.part_number),
SUM(clicks)
FROM unique_part_numbers
JOIN product_ads ON product_ads.part_number = unique_part_numbers.part_number
JOIN reports ON product_ads.adgroupid = reports.adgroupid
GROUP BY item_group_id, product_ads.adgroupid
HAVING array_agg(product_ads.part_number) #> (
SELECT ARRAY_AGG(other_product_ads.part_number)
FROM product_ads AS other_product_ads
WHERE other_product_ads.adgroupid = product_ads.adgroupid
)
I have two tables, EMPL which is a historical employee table to track changes in an employee's tax rate and PAYROLL which is also a historical table filled with employee pay over a number of periods.
FROM EMPL, based upon the EMPL.effect_pd <= PAYROLL.payroll_pd, only one record should be joined from EMPL to PAYROLL.
Below are the two tables, query and result set. However, I only want 1 record for each employee per pay period, which matches the relevant employee record based upon the payroll_pd and effect_pd.
(Click image to enlarge)
first of all - welcome!
You wrote "...FROM EMPL, based upon the EMPL.effect_pd <= PAYROLL.payroll_pd ..." but you start your SQL with PAYROLL and not with EMPL.
Pls test this statement first:
SELECT
E.rec_id
,E.empl_id
,E.empl_name
,E.tax_rate
,E.effect_pd
,P.rec_id
,P.payroll_pd
,P.empl_id
,P.pd_pay
FROM
empl AS E
LEFT OUTER JOIN
payroll AS P
ON E.empl_id = P.empl_id
AND E.effect_pd < P.payroll_pd
After that you get 7 records witch are uniqe.
i think, thats it.
Best regards
After 3 days of messing around with the code, I finally arrived at the solution which is:
SELECT * FROM PAYROLL p
LEFT JOIN EMPL e on p.empl_id = e.empl_id
WHERE e.rec_id = ( SELECT TOP 1 c.rec_id
FROM EMPL c
WHERE c.empl_id = p.empl_id
AND p.payroll_pd >= c.effect_pd
ORDER BY c.effect_pd DESC );
I'm trying create a SELECT with GROUP BY in Firebird but I can't have any success. How could I do this ?
Exception
Can't format message 13:896 -- message file C:\firebird.msg not found.
Dynamic SQL Error.
SQL error code = -104.
Invalid expression in the select list (not contained in either an aggregate function or the GROUP BY clause).
(49,765 sec)
trying
SELECT FA_DATA, FA_CODALUNO, FA_MATERIA, FA_TURMA, FA_QTDFALTA,
ALU_CODIGO, ALU_NOME,
M_CODIGO, M_DESCRICAO,
FT_CODIGO, FT_ANOLETIVO, FT_TURMA
FROM FALTAS Falta
INNER JOIN ALUNOS Aluno ON (Falta.FA_CODALUNO = Aluno.ALU_CODIGO)
INNER JOIN MATERIAS Materia ON (Falta.FA_MATERIA = Materia.M_CODIGO)
INNER JOIN FORMACAOTURMAS Turma ON (Falta.FA_TURMA = Turma.FT_CODIGO)
WHERE (Falta.FA_CODALUNO = 238) AND (Turma.FT_ANOLETIVO = 2015)
GROUP BY Materia.M_CODIGO
Simple use of group by in firebird,group by all columns
select * from T1 t
where t.id in
(SELECT t.id FROM T1 t
INNER JOIN T2 j ON j.id = t.jid
WHERE t.id = 1
GROUP BY t.id)
Using GROUP BY doesn't make sense in your example code. It is only useful when using aggregate functions (+ some other minor uses). In any case, Firebird requires you to specify all columns from the SELECT column list except those with aggregate functions in the GROUP BY clause.
Note that this is more restrictive than the SQL standard, which allows you to leave out functionally dependent columns (ie if you specify a primary key or unique key, you don't need to specify the other columns of that table).
You don't specify why you want to group (because it doesn't make much sense to do it with this query). Maybe instead you want to ORDER BY, or you want the first row for each M_CODIGO.
I have the next query which does not work:
UPDATE item
SET popularity= (CASE
WHEN (select SUM(io.quantity) from item i NATURAL JOIN itemorder io GROUP BY io.item_id) > 3 THEN TRUE
ELSE FALSE
END);
Here I want to compare each line of inner SELECT SUM value with 3 and update popularity. But SQL gives error:
ERROR: more than one row returned by a subquery used as an expression
I understand that inner SELECT returns many values, but can smb help me in how to compare each line. In other words make loop.
When using a subquery you need to get a single row back, so you're effectively doing a query for each record in the item table.
UPDATE item i
SET popularity = (SELECT SUM(io.quantity) FROM itemorder io
WHERE io.item_id = i.item_id) > 3;
An alternative (which is a postgresql extension) is to use a derived table in a FROM clause.
UPDATE item i2
SET popularity = x.orders > 3
FROM (select i.item_id, SUM(io.quantity) as orders
from item i NATURAL JOIN itemorder io GROUP BY io.item_id)
as x(item_id,orders)
WHERE i2.item_id = x.item_id
Here you're doing a single group clause as you had, and we're joining the table to be updated with the results of the group.