I have this Query:
SELECT
qa_invoices.invoice_clientname,
(
SELECT IFNULL(MIN(qa_returns.discount_code),1)
FROM qa_returns
WHERE qa_returns.invoice_code = qa_invoices.invoice_code
AND qa_returns.discount_code <> 1
) AS discount_code,
qa_users.user_name,
(0.00) AS previous_balance,
(0.00) AS difference_to_be_paid,
(0.00) AS client_credit,
SUM(SubQueryAlias.item_discount) AS invoice_discount,
SUM(SubQueryAlias.item_subtotal) AS invoice_subtotal,
SUM(SubQueryAlias.item_total) AS invoice_total,
DATE_FORMAT(qa_invoices.invoice_date,'%M %e, %Y # %h:%i %p') AS returnlog_date
FROM (
SELECT qa_returns_items.item_code,
qa_returns_items.item_subtotal,
qa_returns_items.item_discount,
qa_returns_items.item_total
FROM qa_returns_items
WHERE returnlog_code = (
SELECT MIN(qa_returns.returnlog_code)
FROM qa_returns
WHERE qa_returns.invoice_code = 1
)
UNION
SELECT qa_returns_residues.item_code,
qa_returns_residues.item_subtotal,
qa_returns_residues.item_discount,
qa_returns_residues.item_total
FROM qa_returns_residues
WHERE returnlog_code = (
SELECT MIN(qa_returns.returnlog_code)
FROM qa_returns
WHERE qa_returns.invoice_code = 1
)
ORDER BY item_code ASC
) AS SubQueryAlias, qa_invoices
LEFT JOIN qa_users USING(user_code)
WHERE SubQueryAlias.item_code NOT IN (
SELECT a.item_code
FROM qa_returns_items a
JOIN qa_returns_residues b
ON b.item_code = a.item_code
WHERE a.returnlog_code = (
SELECT MIN(qa_returns.returnlog_code)
FROM qa_returns
WHERE qa_returns.invoice_code = 1
)
AND b.returnlog_code = (
SELECT MIN(qa_returns.returnlog_code)
FROM qa_returns
WHERE qa_returns.invoice_code = 1
)
)
AND qa_invoices.invoice_code = 1;
The query works fine, but if we look the value invoice_code is set 5 times.
I wonder if there is any way to declare a global variable to assign the same value to all
Sure, you can use user defined variables.
For example:
SET #invoice_code=1;
SELECT MIN(qa_returns.returnlog_code)
FROM qa_returns
WHERE qa_returns.invoice_code = #invoice_code
Related
I know, this question has been asked very often but I know my error, I know how I could fix it, but I canĀ“t find the point where the error is. In my opinion, all the subqueries have different and unique names, I even gave the columns different names then the subqueries. Any help would be appreciated. Where is the point I am missing an alias?
Whenever I am trying to run this query I get the response "Every derived table must have its alias", which is an understandable error message, but I can't figure out where my error is located.
SELECT
mso.entity_id,
GROUP_CONCAT(msh.comment) AS comment,
msoa.lastname,
base_grand_total,
mso.created_at,
mso.status,
marketplace_order_id AS amazon_order_id,
clvData.recurrenceRate,
clvData.avgRepRate
FROM
mag_sales_flat_order AS mso
LEFT JOIN mag_sales_flat_order_status_history AS msh ON mso.entity_id = msh.parent_id
LEFT JOIN mag_sales_flat_order_address AS msoa ON mso.entity_id = msoa.parent_id
left join (
select
cast(((cet.cec - cnt.cnc) / cst.csc) AS decimal(6, 2)) as recurrenceRate,
avg(repRate.countedOrders) AS avgRepRate
from(
Select
*,
(
select
count(customer_email) AS csc
from
mag_sales_flat_order
where
created_at between '2017-01-01'
and '2017-12-31'
) AS cst,
(
select
count(customer_email) AS cec
from
mag_sales_flat_order
where
created_at between '2017-01-01'
and '2020-12-31'
) AS cet,
(
select
count(mso_new.customer_email) AS cnc
from
(
select
*
from
mag_sales_flat_order
where
created_at between '2018-01-01'
and current_date()
) AS mso_new
left join (
select
*
from
mag_sales_flat_order
where
created_at between '2017-01-01'
and '2017-12-31'
) AS mso_old on mso_new.customer_email = mso_old.customer_email
)) AS cnt
join (
select
customer_email,
count(grand_total) as countedOrders,
sum(grand_total) as summedOrders
from
mag_sales_flat_order
group by
customer_email
) AS repRate on cl.customer_email = repRate.customer_email
) AS clvData on mso.customer_email = clvData.customer_email
WHERE
store_id IN({$store['id']})
AND (
mso.status = 'complete'
OR mso.status = 'closed'
OR mso.status = 'processing'
OR mso.status = 'exported'
OR mso.status LIKE 'pending%'
)
AND (
DATE_FORMAT(mso.created_at, '%Y-%m-%d') >= '$begin_date'
)
AND (
DATE_FORMAT(mso.created_at, '%Y-%m-%d') <= '$end_date'
)
GROUP BY
entity_id;
SELECT
mso.entity_id,
GROUP_CONCAT(msh.comment) AS comment,
msoa.lastname,
base_grand_total,
mso.created_at,
mso.status,
marketplace_order_id AS amazon_order_id,
clvData.recurrenceRate,
clvData.avgRepRate
FROM mag_sales_flat_order AS mso
LEFT JOIN mag_sales_flat_order_status_history AS msh ON mso.entity_id = msh.parent_id
LEFT JOIN mag_sales_flat_order_address AS msoa ON mso.entity_id = msoa.parent_id
LEFT JOIN
(
SELECT cast(((cet.cec - cnt.cnc) / cst.csc) AS decimal(6, 2)) as recurrenceRate, avg(repRate.countedOrders) AS avgRepRate
FROM
(
SELECT *,
(
SELECT count(customer_email) AS csc
FROM mag_sales_flat_order
WHERE created_at BETWEEN '2017-01-01' AND '2017-12-31'
) AS cst,
(
SELECT count(customer_email) AS cec
FROM mag_sales_flat_order
WHERE created_at BETWEEN '2017-01-01' AND '2020-12-31'
) AS cet,
(
SELECT count(mso_new.customer_email) AS cnc
FROM
(
SELECT *
FROM mag_sales_flat_order
WHERE created_at BETWEEN '2018-01-01' AND getdate()
) AS mso_new
LEFT JOIN
(
SELECT *
FROM mag_sales_flat_order
WHERE created_at BETWEEN '2017-01-01' AND '2017-12-31'
) AS mso_old on mso_new.customer_email = mso_old.customer_email
) AS cnt
) as cl
JOIN
(
SELECT customer_email, count(grand_total) as countedOrders, sum(grand_total) as summedOrders
FROM mag_sales_flat_order
GROUP BY customer_email
) AS repRate on cl.customer_email = repRate.customer_email
) AS clvData on mso.customer_email = clvData.customer_email
WHERE store_id IN({ $ store ['id'] })
AND
(
mso.status = 'complete'
OR mso.status = 'closed'
OR mso.status = 'processing'
OR mso.status = 'exported'
OR mso.status LIKE 'pending%'
)
AND
(
DATE_FORMAT(mso.created_at, '%Y-%m-%d') >= '$begin_date'
)
AND
(
DATE_FORMAT(mso.created_at, '%Y-%m-%d') <= '$end_date'
)
GROUP BY entity_id;
I am trying to collaborate 3 queries to perform arithmetic operation. The queries are shown in
(SELECT ITEM_ID,ISNULL(SUM(REC_GOOD_QTY),0)
FROM INVENTORY_ITEM
WHERE COMPANY_ID = 1
AND INVENTORY_ITEM.COMPANY_BRANCH_ID = 1
AND INVENTORY_ITEM.INV_ITEM_STATUS = 'Inward'
AND GRN_DATE < CAST('2017-01-10 00:00:00.0' AS DATETIME)
GROUP BY INVENTORY_ITEM.ITEM_ID) -
(SELECT ITEM_ID, SUM ( TOTAL_LITRE )
FROM STOCK_REQUISITION_ITEM B, STOCK_REQUISITION A
WHERE A.ID = B.REQUISITION_ID
AND A.COMPANY_ID = 1
AND A.REQ_FROM_BRANCH_ID = 1
AND A.REQUISITION_DATE < CAST('2017-01-10 00:00:00.0' AS DATETIME)
GROUP BY B.ITEM_ID) +
(SELECT ITEM_ID, SUM ( RETURN_QUANTITY )
FROM STOCK_RETURN_ITEM B, STOCK_RETURN A
WHERE A.ID = B.STOCK_RETURN_ID
AND A.COMPANY_ID = 1
AND A.COMPANY_BRANCH_ID = 1
AND A.RETURN_DATE <= CAST('2017-01-10 00:00:00.0' AS DATETIME)
GROUP BY B.ITEM_ID)
I am getting this error.
[Err] 42000 - [SQL Server]Incorrect syntax near '-'.
42000 - [SQL Server]Incorrect syntax near '+'
Not much to go on here for details. And we aren't actually sure if you are using mysql or sql server but pretty sure you are using sql server. I think you can accomplish what you are trying to do with something along these lines.
with Iventory as
(
SELECT i.ITEM_ID
, GoodQty = ISNULL(SUM(i.REC_GOOD_QTY), 0)
FROM INVENTORY_ITEM i
WHERE COMPANY_ID = 1
AND i.COMPANY_BRANCH_ID = 1
AND i.INV_ITEM_STATUS = 'Inward'
AND i.GRN_DATE < '2017-01-10'
GROUP BY i.ITEM_ID
)
, StockRequisition as
(
SELECT ITEM_ID
, TotalLitre = SUM(TOTAL_LITRE)
FROM STOCK_REQUISITION_ITEM B
JOIN STOCK_REQUISITION A ON A.ID = B.REQUISITION_ID
WHERE A.COMPANY_ID = 1
AND A.REQ_FROM_BRANCH_ID = 1
AND A.REQUISITION_DATE < '2017-01-10'
GROUP BY B.ITEM_ID
)
StockReturn as
(
SELECT ITEM_ID
, ReturnQuantity = SUM(RETURN_QUANTITY)
FROM STOCK_RETURN_ITEM B
JOIN STOCK_RETURN A ON A.ID = B.STOCK_RETURN_ID
WHERE A.COMPANY_ID = 1
AND A.COMPANY_BRANCH_ID = 1
AND A.RETURN_DATE <= '2017-01-10'
GROUP BY B.ITEM_ID
)
select i.ITEM_ID
, MyCalculation = i.GoodQty - isnull(Req.TotalLitre, 0) + isnull(sr.ReturnQuantity, 0)
from Inventory i
left join StockRequisition sr on sr.ITEM_ID = i.ITEM_ID
left join StockReturn Req on Req.ITEM_ID = i.ITEM_ID
In your queries you always returns two fields ITEM_ID and a numeric field.
To apply an arithmetical operation you must return one numeric field
The first query:
SELECT ITEM_ID,ISNULL(SUM(REC_GOOD_QTY),0)
becomes
SELECT ISNULL(SUM(REC_GOOD_QTY),0)
The second query:
SELECT ITEM_ID, SUM ( TOTAL_LITRE )
becomes
SELECT SUM ( TOTAL_LITRE )
The third query:
SELECT ITEM_ID, SUM ( RETURN_QUANTITY )
becomes
SELECT SUM ( RETURN_QUANTITY )
So the GROUP BY returns more than one row per query
UPDATE
i try to rewrite your query:
SELECT DISTINCT ii.item_id,
ISNULL(
(SELECT SUM(ii2.rec_good_qty)
FROM inventory_item ii2
WHERE ii2.item_id = ii.item_id
AND ii.company_id = 1
AND ii.company_branch_id = 1
AND ii.inv_item_status = 'Inward'
AND ii.grn_date < CAST('2017-01-10 00:00:00.0' AS DATETIME))
,0) -
ISNULL(
(SELECT SUM(total_litre)
FROM stock_requisition_item b
JOIN stock_requisition a
ON a.id = b.requisition_id
WHERE a.company_id = 1
AND a.req_from_branch_id = 1
AND a.requisition_date < CAST('2017-01-10 00:00:00.0' AS DATETIME))
,0) +
ISNULL(
(SELECT SUM(return_quantity)
FROM stock_return_item b
JOIN stock_return a
ON a.id = b.stock_return_id
WHERE a.company_id = 1
AND a.company_branch_id = 1
AND a.return_date <= CAST('2017-01-10 00:00:00.0' AS DATETIME))
,0) AS result
FROM inventory_item ii
WHERE ii.company_id = 1
AND ii.company_branch_id = 1
AND ii.inv_item_status = 'Inward'
AND ii.grn_date < CAST('2017-01-10 00:00:00.0' AS DATETIME)
Trying to get a where statement on a sub query result. The below works as I want it to, with the exception of AND low_36 != NULL. I need this to stop results where the output of low_36 is NULL.
SELECT offers.*,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 23 ) AS low_24,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 35 ) AS low_36
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 47 ) AS low_48
FROM offers
LEFT JOIN m_v ON v_v.code = offers.code
LEFT JOIN m_f_t ON v.f_t_id = m_f_t.id
LEFT JOIN m_t_t ON v.t_t_id = m_t_t.id
WHERE status = 1
AND low_36 != NULL
LIMIT 2 OFFSET 0
I know you can not use results from subqueries in the main where statement, but this is the closest I have come to the correct result. Thank you for any feedback
Quick way would be
SELECT *
FROM
(SELECT offers.*,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 23 ) AS low_24,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 35 ) AS low_36
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 47 ) AS low_48
FROM offers
LEFT JOIN m_v ON v_v.code = offers.code
LEFT JOIN m_f_t ON v.f_t_id = m_f_t.id
LEFT JOIN m_t_t ON v.t_t_id = m_t_t.id
WHERE status = 1) a
WHERE low_36 IS NOT NULL
LIMIT 2 OFFSET 0
I suspect you want to exclude null values in the subquery itself, thereby avoiding nullifying your aggregate value. Try this:
SELECT offers.*,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 23 ) AS low_24,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 35 and price is not null) AS low_36,
(SELECT ROUND( MIN( price ) ,2) FROM o_prices WHERE o_id = offers.id AND months = 47 ) AS low_48
FROM offers
LEFT JOIN m_v ON m_v.code = offers.code
LEFT JOIN m_f_t ON m_v.f_t_id = m_f_t.id
LEFT JOIN m_t_t ON m_f_t.t_t_id = m_t_t.id
WHERE status = 1
LIMIT 2 OFFSET 0
Inside a WHERE inside a subquery inside a FROM inside another subquery inside a SELECT that's joined to another table, I need to access a column from that joined table.
edited to add more complete example:
SELECT
field_one,
field_two,
field_three,
field_one-field_three AS field_five,
field_six
FROM (
SELECT
IFNULL(
(
SELECT
SUM(us.field_seven) AS field_one
FROM
table_one us
WHERE
us.rto_id = rto.relevant_field_one
AND
us.created >= (
SELECT
IF(
selected_date IS NULL,
MIN(created),
selected_date
)
FROM (
SELECT
IF(
latest_date < DATE_SUB(CURDATE(), INTERVAL rtt.relevant_field_two DAY),
CURDATE(),
MAX(prevdate)
) AS selected_date,
created
FROM (
SELECT
created,
#calc_prevdate as prevdate,
DATEDIFF(#calc_prevdate, created) AS diff,
#calc_prevdate := created
FROM (
SELECT
sto.created
FROM
table_one sto
WHERE
sto.rto_id = rto.relevant_field_one
UNION ALL
SELECT
stt.created
FROM
table_two stt
WHERE
stt.rto_id = rto.relevant_field_one
ORDER BY
created DESC
) AS x
CROSS JOIN (
SELECT
#calc_prevdate := NULL
) as vars
) AS z
CROSS JOIN (
SELECT
MAX(created) AS latest_date
FROM(
SELECT
sto.created
FROM
table_one sto
WHERE
sto.rto_id = rto.relevant_field_one
UNION ALL
SELECT
stt.created
FROM
table_two stt
WHERE
stt.rto_id = rto.relevant_field_one
ORDER BY
created DESC
) as z
) AS y
WHERE
diff > rtt.relevant_field_two
) as w
)
GROUP BY us.rto_id
),0
) AS field_one,
IFNULL(
(
SELECT
SUM(tt.field_seven) AS field_three
FROM
table_two tt
WHERE
tt.rto_id = rto.relevant_field_one
AND
tt.created >= (
SELECT
IF(
selected_date IS NULL,
MIN(created),
selected_date
)
FROM (
SELECT
IF(
latest_date < DATE_SUB(CURDATE(), INTERVAL rtt.relevant_field_two DAY),
CURDATE(),
MAX(prevdate)
) AS selected_date,
created
FROM (
SELECT
created,
#calc_prevdate as prevdate,
DATEDIFF(#calc_prevdate, created) AS diff,
#calc_prevdate := created
FROM (
SELECT
sto.created
FROM
table_one sto
WHERE
sto.rto_id = rto.relevant_field_one
UNION ALL
SELECT
stt.created
FROM
table_two stt
WHERE
stt.rto_id = rto.relevant_field_one
ORDER BY
created DESC
) AS x
CROSS JOIN (
SELECT
#calc_prevdate := NULL
) as vars
) AS z
CROSS JOIN (
SELECT
MAX(created) AS latest_date
FROM(
SELECT
sto.created
FROM
table_one sto
WHERE
sto.rto_id = rto.relevant_field_one
UNION ALL
SELECT
stt.created
FROM
table_two stt
WHERE
stt.rto_id = rto.relevant_field_one
ORDER BY
created DESC
) as z
) AS y
WHERE
diff > rtt.relevant_field_two
) as w
)
GROUP BY tt.rto_id
), 0
) AS field_three,
IFNULL(
(
SELECT
COUNT(*) AS field_two
FROM
table_two tt
WHERE
tt.rto_id = rto.relevant_field_one
GROUP BY tt.rto_id
), 0
) AS field_two,
IFNULL(
(
SELECT
GREATEST(
IFNULL(MAX(us.created), 0), IFNULL(MAX(tt.created), 0)
) AS field_six
FROM
table_one us
LEFT JOIN
table_two tt ON us.rto_id = tt.rto_id
WHERE
us.rto_id = rto.relevant_field_one
GROUP BY us.rto_id
), 0
) AS field_six
FROM
relevant_table_one rto
LEFT JOIN
relevant_table_two rtt ON rto.rtt_id = rtt.id
WHERE
rto.rtt_id = ?
GROUP BY rto.relevant_field_one
) v
ORDER BY id ASC;
given that query, I need to access relevant_table_one.relevant_field_one and relevant_table_two.relevant_field_two from inside the subqueries, but the restrictions on subqueries dictates that you cant access a parents table in a subquery inside a FROM
I managed to solve this (so far I think) by adding #rfo := relevant_field_one and #rft := relevant_field_two up in the select where they were accessable and then referring to the created variables instead of the columns down in the nested query where relevant.
It's possible I'm just getting false positives but so far the solution appears to be working.
I have the following complex query that is giving me an error
Operand should contain 1 column(s)
Can anyone suggest what is wrong
SELECT
t.user_id AS user_id,
t.organisation_id AS organisation_id,
t.firstname AS firstname,
t.surname AS surname,
t.username AS username,
t.year_id AS year_id,
t.form_name AS form_name,
t.House AS House,
rcPoints.total AS milestoneRedeemedCodesTotal,
rcFilteredPoints.total AS redeemedCodesTotalFiltered,
(
COALESCE (rcFilteredPoints.total, 0) - COALESCE (milestoneHistory.total, 0)
) AS redeemedCodesTotalAvailableFiltered,
ABS(
FLOOR(
(
COALESCE (rcFilteredPoints.total, 0) - COALESCE (milestoneHistory.total, 0)
) / 1000
) * 1000
) AS redeemedCodesTotalTowardsMilestone,
ABS(
FLOOR(
(
COALESCE (rcFilteredPoints.total, 0) - COALESCE (milestoneHistory.total, 0)
) / 1000
)
) AS redeemedCodesMilestoneTriggers,
COALESCE (milestoneHistory.total, 0) AS historyTotal
FROM
`myuser` `t`
LEFT JOIN (
SELECT
rc.user_id AS user_id,
SUM(rc.school_points) AS total
FROM
`redeemed_codes` `rc`
INNER JOIN myuser m ON (m.user_id = rc.user_id)
WHERE
(rc.date_redeemed >= 0)
AND (m.organisation_id = 58022)
GROUP BY
rc.user_id
) AS rcPoints ON (rcPoints.user_id = t.user_id)
LEFT JOIN (
SELECT
rc.user_id AS user_id,
SUM(rc.school_points) AS total
FROM
`redeemed_codes` `rc`
INNER JOIN myuser m ON (m.user_id = rc.user_id)
WHERE
(rc.date_redeemed >= 0)
AND (m.organisation_id = 58022)
GROUP BY
rc.user_id
) AS rcFilteredPoints ON (
rcFilteredPoints.user_id = t.user_id
)
LEFT JOIN (
SELECT
mh.user_id AS user_id,
mh.milestone_id AS milestone_id,
MAX(mh.points_when_triggered) AS total
FROM
`milestone_history` `mh`
WHERE
mh.milestone_id = 13
GROUP BY
mh.user_id
) AS milestoneHistory ON (
milestoneHistory.user_id = t.user_id
)
WHERE
(
(
SELECT
COALESCE (count(*), 0)
FROM
milestone_history mha
WHERE
mha.milestone_id = 13
AND mha.user_id = t.user_id
) = 0
)
AND (t.organisation_id = 58022)
AND
(
SELECT * FROM
redeemed_codes t1
WHERE
organisation_id = 1
AND
(
SELECT
sum(school_points)
FROM
redeemed_codes t2
WHERE
t2.redeemed_code_id <= t1.redeemed_code_id
) >= 1000
ORDER BY redeemed_code_id
LIMIT 1
)
GROUP BY
t.user_id
ORDER BY
redeemedCodesMilestoneTriggers DESC
LIMIT 1
Your query might have multiple errors, but this condition in the WHERE clause is definitely suspect and would lead to that error:
AND (SELECT *
FROM redeemed_codes t1
WHERE organisation_id = 1 AND
(SELECT sum(school_points)
FROM redeemed_codes t2
WHERE t2.redeemed_code_id <= t1.redeemed_code_id
) >= 1000
ORDER BY redeemed_code_id
LIMIT 1
)
I have no idea what you are trying to do. Sometimes, the solution is simply EXISTS:
EXISTS (SELECT *
FROM redeemed_codes t1
WHERE organisation_id = 1 AND
(SELECT sum(school_points)
FROM redeemed_codes t2
WHERE t2.redeemed_code_id <= t1.redeemed_code_id
) >= 1000
)