For the below query I am getting an error with line 4 when referencing variables within "y". The query runs successfully when I use just " y.* " (line 5), however it generates an error when I try to also pull from the specified fields in line 4 (y.field1 as PRODUCT, y.field2 as PRODUCT_TYPE, y.entity, y.TYPE1). For the output, I want these fields listed first for visual reference.
I have this approach/ logic working for other queries (as i'm re using this logic for multiple variations of queries and various tables). However, I think that the issue with this one lies in my attempt to reference fields from tables that are in my join statements.
(
select
-- categorization fields:
-- table2.field1 as PRODUCT, table2.field2 as PRODUCT_TYPE, table3.entity, table3.TYPE1
y.field1 as PRODUCT,
y.field2 as PRODUCT_TYPE,
y.entity,
y.TYPE1
,y.*
from (
select *
from (
-- table references:
select table1.*,
row_number() over (
partition by
-- categorization fields:
table2.field1,
table2.field2,
table3.entity,
table3.TYPE1
order by table3.entity
) as rn
-- table references
from table1
-- joins, links, and filtering:
inner join table6 on table1.field_1 = table6.code1
inner join table5 on (table6.code = table5.code1)
AND (table6.code = table5.code)
left join table3 on table6.ent1 = table3.ent_code
left join table2 on table1.extid = table2.extID
where table1.tdate between '01-APR-19' and '01-APR-21'
AND table1.refe NOT IN ('OFF')
) x
-- sample rows:
where rn <= 2
) y
);
Let me know if anyone has a way that I can maybe better specify which tables those fields come from. I wish I could just do something like this:
y.table2.field1 as PRODUCT,
y.table2.field2 as PRODUCT_TYPE,
y.table3.entity,
y.table3.TYPE1
Sorry that I don't have a fiddle available!
Let me know if anyone has a way that I can maybe better specify which tables those fields come from.
Don't use select *. Instead, use the column names and give them appropriate aliases so you know where they came from:
As an example:
SELECT small_value,
medium_value,
big_value
FROM (
SELECT small.value AS small_value,
medium.value AS medium_value,
big.value AS big_value
FROM big
CROSS JOIN medium
CROSS JOIN small
)
WHERE 1 = 1
In your query, instead of using SELECT * in y or using SELECT table1.* in x you can name the columns and give them descriptive aliases.
I am getting an error with line 4 when referencing variables within "y".
(
select
-- categorization fields:
-- table2.field1 as PRODUCT, table2.field2 as PRODUCT_TYPE, table3.entity, table3.TYPE1
That is because you cannot see TABLE2 or TABLE3 because the only "view" you are looking at is of the sub-query with the alias y.
If you want to see those columns then you need to SELECT them inside the x subquery and pass them to each subsequent outer-query.
(
select *
from (
-- table references:
select table1.field1 AS t1_product,
table1.field2 AS t1_product_type,
table1.entity AS t1_entity,
table1.type1 AS t1_type1,
table2.field1 AS t2_product,
table2.field2 AS t2_product_type,
table2.entity AS t2_entity,
table2.type1 AS t2_type1,
table3.field1 AS t3_product,
table3.field2 AS t3_product_type,
table3.entity AS t3_entity,
table3.type1 AS t3_type1,
row_number() over (
partition by
-- categorization fields:
table2.field1,
table2.field2,
table3.entity,
table3.TYPE1
order by table3.entity
) as rn
-- table references
from table1
-- joins, links, and filtering:
inner join table6 on table1.field_1 = table6.code1
inner join table5 on (table6.code = table5.code1)
AND (table6.code = table5.code)
left join table3 on table6.ent1 = table3.ent_code
left join table2 on table1.extid = table2.extID
where table1.tdate between '01-APR-19' and '01-APR-21'
AND table1.refe NOT IN ('OFF')
) x
-- sample rows:
where rn <= 2
);
Related
I am not able to validate this legacy sql into standard bigquery sql as I don't know what else is required to change here(This query fails during validation if I choose standard SQL as big query dialect):
SELECT
lineitem.*,
proposal_lineitem.*,
porder.*,
company.*,
product.*,
proposal.*,
trafficker.name,
salesperson.name,
rate_card.*
FROM (
SELECT
*
FROM
dfp_data.dfp_order_lineitem
WHERE
DATE(end_datetime) >= DATE(DATE_ADD(CURRENT_TIMESTAMP(), -1, 'YEAR'))
OR end_datetime IS NULL ) lineitem
JOIN (
SELECT
*
FROM
dfp_data.dfp_order) porder
ON
lineitem.order_id = porder.id
LEFT JOIN (
SELECT
*
FROM
adpoint_data.dfp_proposal_lineitem) proposal_lineitem
ON
lineitem.id = proposal_lineitem.dfp_lineitem_id
JOIN (
SELECT
*
FROM
dfp_data.dfp_company) company
ON
porder.advertiser_id = company.id
LEFT JOIN (
SELECT
*
FROM
adpoint_data.dfp_product) product
ON
proposal_lineitem.product_id=product.id
LEFT JOIN (
SELECT
*
FROM
adpoint_data.dfp_proposal) proposal
ON
proposal_lineitem.proposal_id=proposal.id
LEFT JOIN (
SELECT
*
FROM
adpoint_data.dfp_rate_card) rate_card
ON
proposal_lineitem.ratecard_id=rate_card.id
LEFT JOIN (
SELECT
id,
name
FROM
dfp_data.dfp_user) trafficker
ON
porder.trafficker_id =trafficker.id
LEFT JOIN (
SELECT
id,
name
FROM
dfp_data.dfp_user) salesperson
ON
porder. salesperson_id =salesperson.id
Most likely the error you are getting is something like below
Duplicate column names in the result are not supported. Found duplicate(s): name
Legacy SQL adjust trafficker.name and salesperson.name in your SELECT statement into respectively trafficker_name and salesperson_name thus effectively eliminating column names duplication
Standard SQL behaves differently and treat both those columns as named name thus producing duplication case. To avoid it - you just need to provide aliases as in example below
SELECT
lineitem.*,
proposal_lineitem.*,
porder.*,
company.*,
product.*,
proposal.*,
trafficker.name AS trafficker_name,
salesperson.name AS salesperson_name,
rate_card.*
FROM ( ...
You can easily check above explained using below simplified/dummy queries
#legacySQL
SELECT
porder.*,
trafficker.name,
salesperson.name
FROM (
SELECT 1 order_id, 'abc' order_name, 1 trafficker_id, 2 salesperson_id
) porder
LEFT JOIN (SELECT 1 id, 'trafficker' name) trafficker
ON porder.trafficker_id =trafficker.id
LEFT JOIN (SELECT 2 id, 'salesperson' name ) salesperson
ON porder. salesperson_id =salesperson.id
and
#standardSQL
SELECT
porder.*,
trafficker.name AS trafficker_name,
salesperson.name AS salesperson_name
FROM (
SELECT 1 order_id, 'abc' order_name, 1 trafficker_id, 2 salesperson_id
) porder
LEFT JOIN (SELECT 1 id, 'trafficker' name) trafficker
ON porder.trafficker_id =trafficker.id
LEFT JOIN (SELECT 2 id, 'salesperson' name ) salesperson
ON porder. salesperson_id =salesperson.id
Note: if you have more duplicate names - you need to alias all of them too
My weakest area of SQL are self JOINS, currently struggling with an issue.
I need to find the latest entry in a table, I'm using a WHERE DATEFIELD IN (SELECT MAX(DATEFIELD) FROM TABLE) to do this. I then need to establish if 3 columns from that already exist in the same TABLE.
My latest attempt looks like this -
SELECT * FROM PART_TABLE
WHERE NOT EXISTS
(
SELECT
t1.DATEFIELD
t1.CODE1
t1.CODE2
t1.CODE3
FROM PART_TABLE t1
INNER JOIN PART_TABLE t2 ON t1.UNIQUE = t2.UNQIUE
)
WHERE t1.DATEFIELD IN
(
SELECT MAX(DATEFIELD)
FROM PARTTABLE
)
)
I think part of the issue is that I can't exclude the unique row from t1 when checking in t2 using this method.
Using MSSQL 2014.
The following query will return the latest record from your table and a bit flag whether a duplicate tuple {Code1, Code2, Code3} exists in it under a different identifier:
select top (1) p.*,
case when exists (
select 0 from dbo.Part_Table t where t.Unique != p.Unique
and t.Code1 = p.Code1 and t.Code2 = p.Code2 and t.Code3 = p.Code3
) then 1
else 0 end as [IsDuplicateExists]
from dbo.Part_Table p
order by p.DateField desc;
You can use this example as a template to address your specific needs, which unfortunately aren't immediately apparent from your explanation.
I have scrapped my previous question as I did not do a good job explaining. Maybe this will be simpler.
I have the following query.
Select * from comp_eval_hdr, comp_eval_pi_xref, core_pi, comp_eval_dtl
where comp_eval_hdr.START_DATE between TO_DATE('01-JAN-16' , 'DD-MON-YY')
and TO_DATE('12-DEC-17' , 'DD-MON-YY')
and comp_eval_hdr.COMP_EVAL_ID = comp_eval_dtl.COMP_EVAL_ID
and comp_eval_hdr.COMP_EVAL_ID = comp_eval_pi_xref.COMP_EVAL_ID
and core_pi.PI_ID = comp_eval_pi_xref.PI_ID
and core_pi.PROGRAM_CODE = 'PS'
Now if I only want a random 100 rows from the comp_eval_hdr table to join with the other tables how would I go about it? If it makes it easier you can disregard the comp_eval_dtl table.
I think you are pretty much there. You just need subqueries, table aliases, and JOIN conditions:
SELECT . . .
FROM (SELECT a.*
FROM (SELECT a.*
FROM a
WHERE a.START_DATE BEWTWEEN DATE '2016-01-01' AND DATE '2017-12-12'
ORDER BY DBMS_RANDOM.VALUE
) a
WHERE ROWNUM <= 100
) a JOIN
mapping m
ON a.? = m.? JOIN
b
ON m.? = b.?;
The ? is just a placeholder for the join columns.
It's a bit of a stretch to know what you want with the question as written but here's my attempt.
WITH rand_list AS
(SELECT * FROM comp_eval_hdr
WHERE comp_eval_hdr.START_DATE BEWTWEEN TO_DATE('01-JAN-16' , 'DD-MON-YY') AND TO_DATE('12-DEC-17' , 'DD-MON-YY')
ORDER BY DBMS_RANDOM.VALUE)
first_100 AS
(SELECT *
FROM rand_list
WHERE ROWNUM <=100)
SELECT md.col_1, t3.col_a
FROM first_100 md
INNER JOIN
table2 t2 ON md.id_column = t2.fk_comp_eval_hdr_id
INNER JOIN
table3 t3 ON t3.id_column = t2.fk_table3_id
You haven't given any indication how they join or the table names and obviously I haven't run this against any mock tables.
You've got a list of randomised records with RAND_LIST which you could, if you wanted, combine with the FIRST_100 query (your choice).
The main query then just joins that through your mapping table (T2) to your 'multiples' table (T3).
how does table 2 look like?...Let me put one example as person table and order table?
select * from (
select * from person ps , order order where ps.city = 'mumbai' and ps.id = order.purchasedby ) porder where porder.rownum <= 100
I did not tested it but it will look something like this.
I have this SQL query which a partner has done for a little project at university (this is the first time we use SQL), but we get the ora-00907 error and both of us don't know why.
I have checked the parenthesis and they seem to be ok, so the problem must be another.
select
persona.nombre,
anyo,
t2.total
from persona join
(
select
t1.idPersona,
count(produccion.anyo) as total,
anyo
from
(
select *
from produccion
join pelicula
on produccion.id = pelicula.id
) as pel
join
(
select *
from participa
where idPapel = 8
) as t1
on t1.idProduccion = pel.id
)
group by t1.idPersona
) as t2
on persona.id = t2.idPersona
where t2.total > 2
order by t2.total desc;
You are selecting * and doing group by on one column which is creating problem. Either you select only respective column under group by condition OR you remove group by.
select *
from (produccion join pelicula on produccion.id=pelicula.id) as pel
join
(select *
from participa
where idPapel=8) as t1
on t1.idProduccion=pel.id)
group by t1.idPersona
Above code section is unallowed use of group by.
If group by is so much needed, i would suggest you to use it later on in the end. Another option is to use analytical function and filter out rest un-wanted records in upper nesting of query which you already have.
You have lots of nested views, which makes your query rather hard to debug. You have lots of brackets, which need to match.
Anyway this is wrong: select t1.idPersona, count(produccion.anyo) as total, anyo. You'll need to include anyo in the GROUP BY clause, which will probably change the result set you want.
select persona.nombre,
t2.anyo,
t2.total
from persona join
(select t1.idPersona,
count(produccion.anyo) as total,
anyo
from (select *
from produccion
join pelicula
on produccion.id=pelicula.id) pel
join
(select *
from participa
where idPapel=8) t1
on t1.idProduccion=pel.id
group by t1.idPersona, t1.anyo) t2
on persona.id=t2.idPersona
where t2.total>2
order by t2.total desc;
I think your query can be simplified/corrected like this:
select persona.nombre,
anyo,
t2.total
from persona
join (
select par.idPersona,
count(produccion.anyo) as total,
anyo
from produccion
join pelicula
on produccion.id = pelicula.id
left join participa par
on par.idProduccion = pelicula.id -- or produccion.id,
-- this was also an error in the original query,
-- since the subquery selected both
and par.idPapel = 8
group by t1.idPersona
, anyo -- Was missing, but it also doesn't make sense, as this is what you count, so you'll just get 1's here. What do you want with this?
) as t2
on persona.id = t2.idPersona
where t2.total > 2
order by t2.total desc;
I have a working sql select, which looks like this
[Edited: Im sorry i did one mistake in the question, i edited alias of Table1 but im trying the answers]
SELECT
m.Column1
,t2.Column2
,COALESCE
(
(
SELECT TOP 1 Vat
FROM LinkedDBServer.DatabaseName.dbo.TableName t3
WHERE
m.MaterialNumber = t3.MaterialNumber COLLATE Czech_CI_AS
and t3.Currency = …
and ...
ORDER BY [Date] DESC
), m.Vat
) as Vat
FROM Table1 m
JOIN Table2 t2 on (m.Column1 = t2.Column1)
It works but the problem is that it takes too long and LinkedServer cut my connection because it takes more than 10 minutes. The purpose of the query is to get newer data from a different database if it exists (i get newest data by top and ordering it by date and precondition is that every data in that database is newer than in mine, thats why im using COALESCE).
But my though is if I was able to rewrite it to JOIN it could be faster. But another problem could be I dont have an primary key (and cant change that).
How can I speed that query up ? (Im using SQL Server 2008 R2)
Thank you
Here i attached Estimated Query Plan: (Its readable in browser ZOOM :) Estimation is for 2 Coalesce columns.
Try rewriting query using outer apply
SELECT
t1.Column1
,t2.Column2
,COALESCE(ou.vat, m.Vat) as Vat
FROM Table1 t1
JOIN Table2 m on (m.Column1 = t1.Column1)
outer apply
(
SELECT TOP 1 Vat
FROM LinkedDBServer.DatabaseName.dbo.TableName t3
WHERE
m.MaterialNumber = t3.MaterialNumber COLLATE Czech_CI_AS
and t3.Currency = …
and ...
ORDER BY [Date] DESC
) ou
Another option:
; WITH vat AS (
SELECT MaterialNumber COLLATE Czech_CI_AS As MaterialNumber
, Vat
, Row_Number() OVER (PARTITION BY MaterialNumber ORDER BY "Date" DESC) As sequence
FROM LinkedDBServer.DatabaseName.dbo.TableName
WHERE Currency = ...
AND ...
)
SELECT t1.Column1
, m.Column2
, Coalesce(vat.Vat, m.Vat) As Vat
FROM Table1 As t1
INNER
JOIN Table2 As m
ON m.Column1 = t1.Column1
LEFT
JOIN vat
ON vat.MaterialNumber = m.MaterialNumber
AND vat.sequence = 1
;