I am having a issue getting this Sub-query to run. I am using Toad Data Point -Oracle. I get syntax error. I have tried several different ways with no luck. I am knew to sub-query's
Select *
from FINC.VNDR_ITEM_M as M
where M.ACCT_DOC_NBR = A.ACCT_DOC_NBR
(SELECT A.CLIENT_ID,
A.SRC_SYS_ID,
A.CO_CD,
A.ACCT_NBR,
A.CLR_DT,
A.ASGN_NBR,
A.FISCAL_YR,
A.ACCT_DOC_NBR,
A.LINE_ITEM_NBR,
A.MFR_PART_NBR,
A.POST_DT,
A.DRCR_IND,
A.DOC_CRNCY_AMT,
A.CRNCY_CD,
A.BSL_DT
FROM FINC.VNDR_ITEM_F A
WHERE A.CLR_DT IN (SELECT MAX(B.CLR_DT)
FROM FINC.VNDR_ITEM_F AS B
where (B.ACCT_DOC_NBR = A.ACCT_DOC_NBR and B.FISCAL_YR=A.FISCAL_YR and B.LINE_ITEM_NBR = A.LINE_ITEM_NBR and B.SRC_SYS_ID =A.SRC_SYS_ID and B.POST_DT=A.POST_DT and B.CO_CD=A.CO_CD)
and (B.CO_CD >='1000' and B.CO_CD <= '3000' or B.CO_CD ='7090') and (B.POST_DT Between to_date ('08/01/2018','mm/dd/yyyy')
AND to_date ('08/31/2018', 'mm/dd/yyyy')) and (B.SRC_SYS_ID ='15399') and (B.FISCAL_YR ='2018'))
GROUP BY
A.CLIENT_ID,
A.SRC_SYS_ID,
A.CO_CD,
A.ACCT_NBR,
A.CLR_DT,
A.ASGN_NBR,
A.FISCAL_YR,
A.ACCT_DOC_NBR,
A.LINE_ITEM_NBR,
A.MFR_PART_NBR,
A.POST_DT,
A.DRCR_IND,
A.DOC_CRNCY_AMT,
A.CRNCY_CD,
A.BSL_DT)
Your syntax is broken, you put subquery just at the end. Now it looks like:
select *
from dual as m
where a.dummy = m.dummy
(select dummy from dual)
It is in incorrect place, not joined, not aliased. What you should probably do is:
select *
from dual m
join (select dummy from dual) a on a.dummy = m.dummy
You also have some redundant, unnecessary brackets, but that's minor flaw. Full code (I cannot test it without data access):
select *
from FINC.VNDR_ITEM_M M
join (SELECT A.CLIENT_ID, A.SRC_SYS_ID, A.CO_CD, A.ACCT_NBR, A.CLR_DT, A.ASGN_NBR,
A.FISCAL_YR, A.ACCT_DOC_NBR, A.LINE_ITEM_NBR, A.MFR_PART_NBR, A.POST_DT,
A.DRCR_IND, A.DOC_CRNCY_AMT, A.CRNCY_CD, A.BSL_DT
FROM FINC.VNDR_ITEM_F A
WHERE A.CLR_DT IN (SELECT MAX(B.CLR_DT)
FROM FINC.VNDR_ITEM_F AS B
where B.ACCT_DOC_NBR = A.ACCT_DOC_NBR
and B.FISCAL_YR=A.FISCAL_YR
and B.LINE_ITEM_NBR = A.LINE_ITEM_NBR
and B.SRC_SYS_ID =A.SRC_SYS_ID
and B.POST_DT=A.POST_DT
and B.CO_CD=A.CO_CD
and (('1000'<=B.CO_CD and B.CO_CD<='3000') or B.CO_CD='7090')
and B.POST_DT Between to_date ('08/01/2018', 'mm/dd/yyyy')
AND to_date ('08/31/2018', 'mm/dd/yyyy')
and B.SRC_SYS_ID ='15399' and B.FISCAL_YR ='2018')
GROUP BY A.CLIENT_ID, A.SRC_SYS_ID, A.CO_CD, A.ACCT_NBR, A.CLR_DT, A.ASGN_NBR,
A.FISCAL_YR, A.ACCT_DOC_NBR, A.LINE_ITEM_NBR, A.MFR_PART_NBR, A.POST_DT,
A.DRCR_IND, A.DOC_CRNCY_AMT, A.CRNCY_CD, A.BSL_DT) A
on M.ACCT_DOC_NBR = A.ACCT_DOC_NBR and M.CO_CD=A.CO_CD;
You need to add an alias to the SubSelect (or Derived Table in Standard SQL):
select *
from
( select .......
) AS dt
join ....
Related
Using PostgreSQL I can have multiple rows of json objects.
select (select ROW_TO_JSON(_) from (select c.name, c.age) as _) as jsonresult from employee as c
This gives me this result:
{"age":65,"name":"NAME"}
{"age":21,"name":"SURNAME"}
But in SqlServer when I use the FOR JSON AUTO clause it gives me an array of json objects instead of multiple rows.
select c.name, c.age from customer c FOR JSON AUTO
[{"age":65,"name":"NAME"},{"age":21,"name":"SURNAME"}]
How to get the same result format in SqlServer ?
By constructing separate JSON in each individual row:
SELECT (SELECT [age], [name] FOR JSON PATH, WITHOUT_ARRAY_WRAPPER)
FROM customer
There is an alternative form that doesn't require you to know the table structure (but likely has worse performance because it may generate a large intermediate JSON):
SELECT [value] FROM OPENJSON(
(SELECT * FROM customer FOR JSON PATH)
)
no structure better performance
SELECT c.id, jdata.*
FROM customer c
cross apply
(SELECT * FROM customer jc where jc.id = c.id FOR JSON PATH , WITHOUT_ARRAY_WRAPPER) jdata (jdata)
Same as Barak Yellin but more lazy:
1-Create this proc
CREATE PROC PRC_SELECT_JSON(#TBL VARCHAR(100), #COLS VARCHAR(1000)='D.*') AS BEGIN
EXEC('
SELECT X.O FROM ' + #TBL + ' D
CROSS APPLY (
SELECT ' + #COLS + '
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
) X (O)
')
END
2-Can use either all columns or specific columns:
CREATE TABLE #TEST ( X INT, Y VARCHAR(10), Z DATE )
INSERT #TEST VALUES (123, 'TEST1', GETDATE())
INSERT #TEST VALUES (124, 'TEST2', GETDATE())
EXEC PRC_SELECT_JSON #TEST
EXEC PRC_SELECT_JSON #TEST, 'X, Y'
If you're using PHP add SET NOCOUNT ON; in the first row (why?).
I have stumbled across a bit of an issue with U-SQL which for me is a problem I haven't yet found a workaround for.
It seems U-SQL doesnt support anything else but == in joins, so you can't put > or < in the join itself.
For the use case below which I have done in oracle:
create table trf.test_1(
number_col int
);
insert into trf.test_1 VALUES (10);
insert into trf.test_1 VALUES (20);
insert into trf.test_1 VALUES (30);
insert into trf.test_1 VALUES (60);
drop table trf.test_2;
create table trf.test_2(
number_col int
);
insert into trf.test_2 VALUES (20);
insert into trf.test_2 VALUES (30);
SELECT t1.number_col, t2.number_col
FROM trf.test_1 t1
LEFT JOIN trf.test_2 t2 ON t1.number_col < t2.number_col
;
I get the following:
How might I do that in u-sql without the < join?
I tried a cross join, but if you include the < in the where clause it just turns into an inner and you don't get the rows with the nulls.
Any ideas appreciated.
#t1 =
SELECT * FROM
( VALUES
(10),
(20),
(30),
(60)
) AS T(num_col);
#t2 =
SELECT * FROM
( VALUES
(20),
(30)
) AS T(num_col);
#result =
SELECT t1.num_col, t2.num_col AS num_col_2
FROM #t1 AS t1
CROSS JOIN #t2 AS t2
WHERE t1.num_col < t2.num_col;
#result2 =
SELECT t1.num_col, t2.num_col AS num_col_2
FROM #t1 AS t1
LEFT JOIN #result AS t2 ON t1.num_col == t2.num_col;
OUTPUT #result2
TO "/Output/ReferenceGuide/Joins/exampleA.csv"
USING Outputters.Csv();
Edit - I added the left join from the #t1 dataset back to the #result set which seems to work but would be interested if there are any better solutions out there. Seems a bit of a work around.
This is a known feature and discussed extensively in the article "U-SQL SELECT Selecting from joins".
Some quotes from that article:
Join Comparisons
U-SQL, like most scaled out Big Data Query languages
that support joins, restricts the join comparison to equality
comparisons between columns in the rowsets to be joined...
...
If one has a non-equality comparison or a more complex expression (such as a method invocation) in the comparison, one can move the comparison to the SELECT’s WHERE clause. Or the more complex expression can be placed in an earlier SELECT statement’s column and then that alias can be referred to in the join comparison.
Basically they don't scale particularly well on a distributed platform like ADLA.
The following works and results in the output shown in the image below.
SELECT
SU_Internal_ID,
NQ_QuestionText,
NA_AnswerText,
NoOfTimesChoosen
FROM
(SELECT
U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText,
COUNT(PC.UserID) AS NoOfTimesChoosen
FROM [dbo].[ParticipantNSChoices] PC
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA
on PC.NA_Internal_ID = NA.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ
on PC.NQ_Internal_ID = NQ.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U
on PC.UserID = U.Id
WHERE
U.SU_Internal_ID=1
and NQ.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%'
GROUP
BY U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText ) as A
I want to add a column to show the percent for the two answers 'No' and 'Yes': so next to 'No' I want '20' and next to 'Yes' '80', but I'm pretty new at this and am stuck; I would appreciate any help. Thanks.
Result of working script
You don't need the outer SELECT.
SELECT
U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText,
COUNT(PC.UserID) AS NoOfTimesChoosen,
(cast(COUNT(PC.UserID) as float) /
cast(
(select count(*) from [dbo].[ParticipantNSChoices] PC2
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA2 on PC2.NA_Internal_ID = NA2.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ2 on PC2.NQ_Internal_ID = NQ2.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U2 on PC2.UserID = U2.Id
WHERE
U2.SU_Internal_ID=1
and NQ2.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%' )
as float))
* 100 as PercentChosen
FROM [dbo].[ParticipantNSChoices] PC
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA
on PC.NA_Internal_ID = NA.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ
on PC.NQ_Internal_ID = NQ.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U
on PC.UserID = U.Id
WHERE
U.SU_Internal_ID=1
and NQ.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%'
GROUP
BY U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText
The counts will be integers, so you need to cast as floats before dividing. You can then further format to your liking. Also, I might not have your exact denominator, because I don't know what your data looks like, but you can modify to match what you need.
I am running a query with Oracle:
SELECT
c.customer_number,
COUNT(DISTINCT o.ORDER_NUMBER),
COUNT(DISTINCT q.QUOTE_NUMBER)
FROM
Customer c
JOIN Orders o on c.customer_number = o.party_number
JOIN Quote q on c.customer_number = q.account_number
GROUP BY
c.customer_number
This works beautifully and I can get the customer and their order and quote counts.
However, not all customers have orders or quotes but I still want their data. When I use LEFT JOIN I get this error from Oracle:
ORA-24347: Warning of a NULL column in an aggregate function
Seemingly this error is caused by the eventual COUNT(NULL) for customers that are missing orders and/or quotes.
How can I get a COUNT of null values to come out to 0 in this query?
I can do COUNT(DISTINCT NVL(o.ORDER_NUMBER, 0)) but then the counts will come out to 1 if orders/quotes are missing which is no good. Using NVL(o.ORDER_NUMBER, NULL) has the same problem.
Try using inline views:
SELECT
c.customer_number,
o.order_count,
q.quote_count
FROM
customer c,
( SELECT
party_number,
COUNT(DISTINCT order_number) AS order_count
FROM
orders
GROUP BY
party_number
) o,
( SELECT
account_number,
COUNT(DISTINCT quote_number) AS quote_count
FROM
quote
GROUP BY
account_number
) q
WHERE 1=1
AND c.customer_number = o.party_number (+)
AND c.customer_number = q.account_number (+)
;
Sorry, but I'm not working with any databases right now to test this, or to test whatever the ANSI SQL version might be. Just going on memory.
I'm using Hive 0.9.0 and I'm trying to execute query i.e.
`SELECT a.id, b.user FROM (SELECT...FROM a_table) a, (SELECT...FROM b_table) b WHERE a.date = b.date;`
but it returns error "loop (...)+ does not match input....".
Does Hive support multiple subqueries in FROM just like Oracle DB?
Multiple subqueries allowed in hive.
I tested with below code,it works.
select * from (select id from test where id>10) a
join (select id from test where id>20) b on a.id=b.id;
Please post your exact code so that I can give relevant solution.
join subqueries is supported Absolutely.
I think the key problem is that u use SELECT...FROM.
The correct syntax is SELECT * FROM
SELECT a.id, b.user
FROM
(SELECT * FROM a_table) a
JOIN (SELECT * FROM b_table) b ON a.date = b.date;
If you want to obtain the full Cartesian product before applying the WHERE
clause, instead:
SELECT a.id, b.user FROM (SELECT...FROM a_table) a, (SELECT...FROM b_table) b WHERE a.date = b.date;
you should use 'join' in the middle, i.e.
SELECT a.id, b.user FROM (SELECT...FROM a_table) a join (SELECT...FROM b_table) b WHERE a.date = b.date;
above is not admissible in strict mode.