I am converting my sql queries to mysql queries, but all the queries which have WITH clauses are failing.
Here is the query:
WITH CTE AS (
SELECT sto.NDate AS NDate,sto.NStockName AS StkName,sto.NClosingPrice AS StkClosingPrice, sto.NVolume AS StkVolume,
ind.NStockName AS IndName,ind.NClosingPrice AS IndClosingPrice, ind.NVolume AS IndVolume,
rownum = ROW_NUMBER() OVER (PARTITION BY sto.NStockName ORDER BY sto.NDate)
FROM equitystockoptions_nse AS sto
JOIN equitystockoptions_indices AS ind ON sto.NDate = ind.NDate
WHERE ind.NStockName='NIFTY' AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) >= DATE_FORMAT(v_fromdate,'%m/%d/%Y') AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) <= DATE_FORMAT(v_todate,'%m/%d/%Y')
)
SELECT curr.NDate,curr.StkName,curr.StkClosingPrice, curr.StkVolume, curr.IndName, curr.IndClosingPrice, curr.IndVolume,
LOG(curr.StkClosingPrice / prev.StkClosingPrice) AS StkReturnOnLog, LOG(curr.IndClosingPrice / prev.IndClosingPrice) AS IndReturnOnLog
FROM CTE curr
INNER JOIN CTE PREV ON prev.rownum = curr.rownum - 1 AND curr.StkName = prev.StkName
ORDER BY StkName, NDate;
Any suggestion on this conversion is appreciated.
WITH lets assign a name to an inline view (a subquery used in the FROM clause). As I know MySQL doesn't support WITH, so you can just replace all "CTE" references with the actual subquery:
SELECT curr.NDate,curr.StkName,curr.StkClosingPrice, curr.StkVolume,
curr.IndName, curr.IndClosingPrice, curr.IndVolume,
LOG(curr.StkClosingPrice / prev.StkClosingPrice) AS StkReturnOnLog,
LOG(curr.IndClosingPrice / prev.IndClosingPrice) AS IndReturnOnLog
FROM (
SELECT sto.NDate AS NDate,sto.NStockName AS StkName,sto.NClosingPrice AS StkClosingPrice, sto.NVolume AS StkVolume,
ind.NStockName AS IndName,ind.NClosingPrice AS IndClosingPrice, ind.NVolume AS IndVolume,
rownum = ROW_NUMBER() OVER (PARTITION BY sto.NStockName ORDER BY sto.NDate)
FROM equitystockoptions_nse AS sto
JOIN equitystockoptions_indices AS ind ON sto.NDate = ind.NDate
WHERE ind.NStockName='NIFTY' AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) >= DATE_FORMAT(v_fromdate,'%m/%d/%Y') AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) <= DATE_FORMAT(v_todate,'%m/%d/%Y')
) curr
INNER JOIN (
SELECT sto.NDate AS NDate,sto.NStockName AS StkName,sto.NClosingPrice AS StkClosingPrice, sto.NVolume AS StkVolume,
ind.NStockName AS IndName,ind.NClosingPrice AS IndClosingPrice, ind.NVolume AS IndVolume,
rownum = ROW_NUMBER() OVER (PARTITION BY sto.NStockName ORDER BY sto.NDate)
FROM equitystockoptions_nse AS sto
JOIN equitystockoptions_indices AS ind ON sto.NDate = ind.NDate
WHERE ind.NStockName='NIFTY' AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) >= DATE_FORMAT(v_fromdate,'%m/%d/%Y') AND STR_TO_DATE(DATE_FORMAT(sto.NDate,'%m/%d/%Y')) <= DATE_FORMAT(v_todate,'%m/%d/%Y')
) PREV ON prev.rownum = curr.rownum - 1 AND curr.StkName = prev.StkName
ORDER BY StkName, NDate;
Related
I want to Group By CUSTOM_DRIVER in the query because I am getting over 1.3 million results and I just need to view them by Custom Driver for the month by store.
The query is returning me
I want something like this
I've tried using Distinct and Group By but I keep getting the error:
Attribute A.STORE_NUM must be GROUPed or used in an aggregate function
How do I get around this? The code I've been using is:
SELECT *
FROM(
SELECT
SE.STORE_NUM,
DM.MONTH_NAME_445 AS MO_445,
--DM.WEEK_START_DT_MON AS WK_BEGIN_MONDAY,
--SE.METRIC_DATE,
substring(SE.ROLLUP_NAME, 39, 20) as CUSTOM_DRIVER,
SE.DT_IMPORTED,
SE.METRIC_VALUE
FROM DNA_PUBLIC.ADMIN.SCHEDULE_EFFECTIVENESS SE
JOIN DNA_PUBLIC.ADMIN.DAY_MAP DM ON SE.METRIC_DATE = DM.DATE_DT
JOIN (
SELECT DISTINCT
METRIC_DATE,
MAX(DATE(DT_IMPORTED)) AS MAX_DT
FROM DNA_PUBLIC.ADMIN.SCHEDULE_EFFECTIVENESS
GROUP BY 1
) MX ON SE.METRIC_DATE = MX.METRIC_DATE
WHERE METRIC_NAME = 'Coverage Effectiveness'
AND SE.ROLLUP_NAME LIKE 'O%'
AND SE.METRIC_DATE between '07/27/2020' and '11/11/2020'
AND CAST(SE.DT_IMPORTED AS DATE) = MAX_DT
--AND CUSTOM_DRIVER = 'Truck/Truck'
AND SE.INDICATOR_NAME = 'Required'
--and STORE_NUM = 1
) AS A
Order by STORE_NUM
A work around was to select the values and group by the order of the selected variables. Thanks for the all the input!
SELECT
STORE_NUM,
MO_445,
CUSTOM_DRIVER,
SUM(METRIC_VALUE) as Tot_Hrs
FROM(
SELECT
SE.STORE_NUM,
DM.MONTH_NAME_445 AS MO_445,
DM.WEEK_START_DT_MON AS WK_BEGIN_MONDAY,
SE.METRIC_DATE,
substring(SE.ROLLUP_NAME, 39, 20) as CUSTOM_DRIVER,
SE.DT_IMPORTED,
SE.METRIC_VALUE
FROM DNA_PUBLIC.ADMIN.SCHEDULE_EFFECTIVENESS SE
JOIN DNA_PUBLIC.ADMIN.DAY_MAP DM ON SE.METRIC_DATE = DM.DATE_DT
JOIN (
SELECT DISTINCT
METRIC_DATE,
MAX(DATE(DT_IMPORTED)) AS MAX_DT
FROM DNA_PUBLIC.ADMIN.SCHEDULE_EFFECTIVENESS
GROUP BY 1
) MX ON SE.METRIC_DATE = MX.METRIC_DATE
WHERE METRIC_NAME = 'Coverage Effectiveness'
AND SE.ROLLUP_NAME LIKE 'O%'
AND SE.METRIC_DATE between '07/27/2020' and '11/11/2020'
AND CAST(SE.DT_IMPORTED AS DATE) = MAX_DT
--AND CUSTOM_DRIVER = 'Truck/Truck'
AND SE.INDICATOR_NAME = 'Required'
and STORE_NUM = 1
) AS A
group by 1,2,3
Order by STORE_NUM
I'm stuck at the query where I need to concat IDs of the table. And from that group of IDs, I need to fetch that rows in sub query. But when I try to do so, MySQL consider group_concat() as a string. So that condition becomes false.
select count(*)
from rides r
where r.ride_status = 'cancelled'
and r.id IN (group_concat(rides.id))
*************** Original Query Below **************
-- Daily Earnings for 7 days [Final]
select
group_concat(rides.id) as ids,
group_concat(ride_category.name) as rideType,
group_concat(ride_cars.amount + ride_cars.commission) as rideAmount ,
group_concat(ride_types.name) as carType,
count(*) as numberOfRides,
(
select count(*) from rides r where r.ride_status = 'cancelled' and r.id IN (group_concat(rides.id) )
) as cancelledRides,
(
select count(*) from rides r where r.`ride_status` = 'completed' and r.id IN (group_concat(rides.id))
) as completedRides,
group_concat(ride_cars.status) as status,
sum(ride_cars.commission) + sum(ride_cars.amount) as amount,
date_format(from_unixtime(rides.requested_at/1000 + rides.offset*60), '%Y-%m-%d') as requestedDate,
date_format(from_unixtime(rides.requested_at/1000 + rides.offset*60), '%V') as week
from
ride_cars,
rides,
ride_category,
ride_type_cars,
ride_types
where
ride_cars.user_id = 166
AND (rides.ride_status = 'completed' or. rides.ride_status = 'cancelled')
AND ride_cars.ride_id = rides.id
AND (rides.requested_at >= 1559347200000 AND requested_at < 1561852800000)
AND rides.ride_category = ride_category.id
AND ride_cars.car_model_id = ride_type_cars.car_model_id
AND ride_cars.ride_type_id = ride_types.id
group by
requestedDate;
Any solutions will be appreciated.
Try to replace the sub-query
(select count(*) from rides r where r.ride_status = 'cancelled' and r.id IN (group_concat(rides.id) )) as cancelledRides,
with below to count using SUM and CASE, it will make use of the GROUP BY
SUM(CASE WHEN rides.ride_status = 'cancelled' THEN 1 ELSE 0 END) as cancelledRides
and the same for completedRides
And move to using JOIN instead of implicit joins
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)
The problem in my query particularly in this piece:
#a:= concat(#a, ',', B.call_account_id) AS paid_account_id
Here is the whole query:
SELECT operator_id, paid_account_ids, SUM( goods_count * price ) AS sales_volume, count(*) AS sales_cnt
FROM (
SELECT B.operator_id, #a:= concat(#a, ',', B.call_account_id) AS paid_account_ids, B.call_time, A.goods_count, A.price, UNIX_TIMESTAMP( A.completion_date ) AS paid_ts
FROM call_module_data B
INNER JOIN ak_accounts A ON ( A.account_id = B.call_account_id AND A.goods_count >=1 )
WHERE B.call_status IN (1,7) AND A.status_id = 5
AND operator_id IN ( $op_ids )
$and_str_accounts
GROUP BY A.account_id
HAVING call_time < (paid_ts + $time_shift)
) AS T
GROUP BY operator_id";
So the expression mentioned above should produce the concatenated string of account ids (e.g 3341,4355,4433...). But I got NULL instead of desired string.
Please help to resolve. Thanks in advance.
Use GROUP_CONCAT() function instead of String concatenation
Change
#a:= concat(#a, ',', B.call_account_id) AS paid_account_id
above string to
GROUP_CONCAT(B.call_account_id) AS paid_account_ids
Final Answer:
SELECT operator_id, GROUP_CONCAT(paid_account_ids) AS paid_account_ids,
SUM(goods_count * price) AS sales_volume, COUNT(*) AS sales_cnt
FROM (SELECT B.operator_id, GROUP_CONCAT(B.call_account_id) AS paid_account_ids,
B.call_time, A.goods_count, A.price,
UNIX_TIMESTAMP(A.completion_date) AS paid_ts
FROM call_module_data B
INNER JOIN ak_accounts A ON A.account_id = B.call_account_id AND A.goods_count >=1
WHERE B.call_status IN (1,7) AND A.status_id = 5 AND operator_id IN ($op_ids)
$and_str_accounts
GROUP BY A.account_id HAVING call_time < (paid_ts + $time_shift)
) AS T
GROUP BY operator_id;
Getting an error
Operand should contain 1 column(s)
PK is ID
The table just dumps data in to the table
need to get the earliest date qty and the latest date qty and display on the same column
Any help appreciated
SELECT ebx_r_history.ItemNumber,
(SELECT r.QuantitySold as newqty, r.lastupdate as lu
FROM ebx_r_history r
WHERE ebx_r_history.ItemNumber = r.ItemNumber AND ebx_r_history.SKU = r.SKU
ORDER BY r.LastUpdate ASC
LIMIT 1),
(SELECT r.QuantitySold as newqty, r.lastupdate as lu
FROM ebx_r_history r
WHERE ebx_r_history.ItemNumber = r.ItemNumber AND ebx_r_history.SKU = r.SKU
ORDER BY r.LastUpdate DESC
LIMIT 1)
FROM
ebx_r_history
GROUP BY ebx_r_history.ItemNumber,
ebx_r_history.SKU
ORDER BY ebx_r_history.LastUpdate
This version may offer a simplified and faster alternative for you. The inner query for "AllItems" does both a min and max of the last update on a per-item number/sku basis, although I believe they would be one-in-the-same record.
So now, join that results back to the history data by item/sku and only those that match either the min or max date. If a true date/time, there would expect to only be one anyhow, vs just a date-only. So, since there would be 2 possible records (one for the min, one for the max), I am applying a MAX( IIF( )) for each respective matching the minimum and maximum dates respectively and must retain the group by clause.
Note, if you are dealing with date-only entries, or possibilities of the exact same item/sku and lastupdate are the same to the second, then you would need an approach more towards limit 1 per ascending/descending basis.
SELECT
AllItems.ItemNumber,
AllItems.SKU,
AllItems.MinUpdate,
MAX( IIF( rh.lastupdate = AllItems.MinUpdate, rh.Quantity.Sold, 0 )) as QtyAtMinDate,
AllItems.MaxUpdate,
MAX( IIF( rh.lastupdate = AllItems.MaxUpdate, rh.Quantity.Sold, 0 )) as QtyAtMaxDate
from
( SELECT
r.ItemNumber,
r.SKU,
MIN( r.lastupdate ) as MinUpdate,
MAX( r.lastupdate ) as MaxUpdate
FROM
ebx_r_history r
group by
r.ItemNumber,
r.SKU ) AllItems
JOIN ebx_r_history rh
ON AllItems.ItemNumber = rh.ItemNumber
AND AllItems.SKU = rh.SKU
AND ( rh.lastUpdate = AllItems.MinUpdate
OR rh.lastUpdate = AllItems.MaxUpdate )
group by
AllItems.ItemNumber,
AllItems.SKU
Per another answer where you were only looking to IGNORE items within the most recent 14 days, you can just add a WHERE clause to the inner query similar via
WHERE r.LastUpdate >= CURDATE() - INTERVAL 14 DAY
If your history table has an auto-incrementing ID column, AND the respective transactions have the lastUpdate sequentially stamped, such as when they are added and not modified by any other operation, then you could just apply similar but MIN/MAX of the ID column, then join back TWICE on the ID and just each row ONCE such as...
SELECT
AllItems.ItemNumber,
AllItems.SKU,
rhMin.LastUpdate as MinUpdate,
rhMin.QuantitySold as MinSold,
rhMax.LastUpdate as MaxUpdate,
rhMax.QuantitySold as MaxSold
from
( SELECT
r.ItemNumber,
r.SKU,
MIN( r.AutoIncrementColumn ) as MinAutoID,
MAX( r.AutoIncrementColumn ) as MaxAutoID
FROM
ebx_r_history r
group by
r.ItemNumber,
r.SKU ) AllItems
JOIN ebx_r_history rhMin
ON AllItems.MinAutoID = rhMin.AutoIncrementColumn
JOIN ebx_r_history rhMax
ON AllItems.MaxAutoID = rhMax.AutoIncrementColumn
order by
rhMax.LastUpdated
Try something like this:
SELECT r1.ItemNumber,
(
SELECT r.QuantitySold
FROM ebx_r_history r
WHERE r1.ItemNumber = r.ItemNumber
AND r1.SKU = r.SKU
ORDER BY r.LastUpdate ASC LIMIT 1
) AS earliestDateQty,
(
SELECT r.QuantitySold
FROM ebx_r_history r
WHERE r1.ItemNumber = r.ItemNumber
AND r1.SKU = r.SKU
ORDER BY r.LastUpdate DESC LIMIT 1
) AS latestDateQty
FROM ebx_r_history r1
GROUP BY r1.ItemNumber,r1.SKU
ORDER BY 3
You had a couple of errors. you were getting two columns inside the inner selects, and you had a couple of places where you might get the error for ambiguous column name.
sqlFiddle here
SELECT T1.ItemNumber,
T1.SKU,
T1.Old_QuantitySold,
T1.Old_LastUpdate,
T2.New_QuantitySold,
T2.New_LastUpdate
FROM
(SELECT itemNumber,SKU,QuantitySold as Old_QuantitySold,LastUpdate as Old_LastUpdate
FROM ebx_r_history r
WHERE NOT EXISTS (SELECT 1 FROM ebx_r_history e
WHERE e.itemNumber = r.itemNumber AND e.SKU = r.SKU
AND e.LastUpdate < r.LastUpdate)
)T1
LEFT JOIN
(SELECT itemNumber,SKU,QuantitySold as New_QuantitySold,LastUpdate as New_LastUpdate
FROM ebx_r_history r
WHERE NOT EXISTS (SELECT 1 FROM ebx_r_history e
WHERE e.itemNumber = r.itemNumber AND e.SKU = r.SKU
AND e.LastUpdate > r.LastUpdate)
)T2 ON (T2.itemNumber = T1.itemNumber AND T2.SKU = T1.SKU)
WHERE T1.Old_LastUpdate >= CURDATE() - INTERVAL 14 DAY
AND T2.New_LastUpdate >= CURDATE() - INTERVAL 14 DAY
ORDER BY T2.New_LastUpdate;
you can do left join or inner join it's up to you, since T1 will always get earliest records and T2 will always get latest records for the ItemNumber,SKU grouping.
UPDATED TO IGNORE DATA OLDER THAN 14 DAYS
SELECT T1.ItemNumber,
T1.SKU,
T1.Old_QuantitySold,
T1.Old_LastUpdate,
T2.New_QuantitySold,
T2.New_LastUpdate
FROM
(SELECT itemNumber,SKU,QuantitySold as Old_QuantitySold,LastUpdate as Old_LastUpdate
FROM ebx_r_history r
WHERE LastUpdate >= CURDATE() - INTERVAL 14 DAY
AND NOT EXISTS (SELECT 1 FROM ebx_r_history e
WHERE e.itemNumber = r.itemNumber AND e.SKU = r.SKU
AND e.LastUpdate >= CURDATE() - INTERVAL 14 DAY
AND e.LastUpdate < r.LastUpdate)
)T1
LEFT JOIN
(SELECT itemNumber,SKU,QuantitySold as New_QuantitySold,LastUpdate as New_LastUpdate
FROM ebx_r_history r
WHERE LastUpdate >= CURDATE() - INTERVAL 14 DAY
AND NOT EXISTS (SELECT 1 FROM ebx_r_history e
WHERE e.itemNumber = r.itemNumber AND e.SKU = r.SKU
AND e.LastUpdate >= CURDATE() - INTERVAL 14 DAY
AND e.LastUpdate > r.LastUpdate)
)T2 ON (T2.itemNumber = T1.itemNumber AND T2.SKU = T1.SKU)
ORDER BY T2.New_LastUpdate;
ignore data older than 14 days sqlFiddle here
If you want to use exact time (14 days ago), you can replace occurences of CURDATE() with NOW()