SELECT sum( plot_status = 'OPEN' ) AS OPEN
, sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
GROUP BY `plot_status
This is giving
OPEN SOLD
7 0
0 8
How to make it
OPEN SOLD
7 8
Or is it possible?
just remove the GROUP BY clause and it will work.
SELECT sum( plot_status = 'OPEN' ) AS `OPEN` ,
sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
If there is present plot_name or id then group by that not by plot_status:
SELECT sum( plot_status = 'OPEN' ) AS
OPEN , sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
GROUP BY //`plot_name or plot_id
This will work for you for individual plot.
And if you don't want that then remove the group by clause.
select * from
(
select sum( plot_status = 'OPEN' FROM tbl_plot ) AS OPEN
select sum( plot_status = 'SOLD' FROM tbl_plot ) As Sold
)tbl
Related
I'm listing out orders data based on this query. This query basically pulls the recurring orders data from the table. I'm also using some dropdown and a input field to search / filter query results.
SELECT
orders.id,
parent_id,
(
SELECT
COUNT(*)
FROM
orders o
WHERE
o.parent_id = orders.id
) AS recurring_order_count,
shopify_order_type,
shopify_order_id,
shopify_order_customer_ID,
coupon_code AS coupon,
FORMAT(shopify_order_total_price, 2) AS shopify_order_total_price,
FORMAT(
shopify_order_subtotal_price,
2
) AS shopify_order_subtotal_price,
FORMAT(
shopify_order_total_line_items_price,
2
) AS shopify_order_total_line_items_price,
FORMAT(commission_amount, 2) AS commission_amount,
(
CASE WHEN is_paid = 0 THEN 'No' WHEN is_paid = 1 THEN 'Yes' ELSE 'Rejected'
END
) AS is_paid,
(
CASE WHEN is_invoice_generated = 1 THEN 'Pending' ELSE 'Invoice Generated'
END
) AS is_invoice_generated,
DATE_FORMAT(
shopify_order_created_at,
'%m-%d-%Y'
) AS shopify_order_created_at,
(
CASE WHEN is_paused = 0 THEN 'Running' ELSE 'Paused'
END
) AS is_paused,
DATE_FORMAT(
shopify_recurring_date,
'%m-%d-%Y'
) AS shopify_recurring_date
FROM
`orders`
WHERE
coupon_code LIKE '%GERALD8314%' OR shopify_order_id LIKE '%GERALD8314%' OR(
CASE WHEN is_paid = 0 THEN 'No' WHEN is_paid = 1 THEN 'Yes' ELSE 'Rejected'
END
) LIKE '%GERALD8314%' OR(
CASE WHEN is_invoice_generated = 1 THEN 'Pending' ELSE 'Invoice Generated'
END
) LIKE '%GERALD8314%' OR DATE_FORMAT(
shopify_order_created_at,
'%m-%d-%Y'
) LIKE '%GERALD8314%' OR(
CASE WHEN is_paused = 0 THEN 'Running' ELSE 'Paused'
END
) LIKE '%GERALD8314%' OR DATE_FORMAT(
shopify_recurring_date,
'%m-%d-%Y'
) LIKE '%GERALD8314%' AND DATE_FORMAT(
shopify_order_created_at,
'%Y-%m-%d'
) BETWEEN ? AND ?
GROUP BY
`id`
HAVING
parent_id = 0 AND shopify_order_type = 1
ORDER BY
`id`
DESC
LIMIT 10 OFFSET 0
Is this query optimized? Is this SELECT COUNT(*) FROM orders WHERE o.parent_id = orders.id AS recurring_order_count line most expensive in terms of query execution speed? Is there anything I should take care to improve the query speed here? Please advise.
OR and LIKE with leading wildcard are terrible for performance. Consider having a FULLTEXT index across the relevant columns. If it is practical, it will be immensely faster.
WHERE coupon_code LIKE '%GERALD8314%'
OR shopify_order_id LIKE '%GERALD8314%' OR( CASE WHEN is_paid = 0 THEN 'No' WHEN is_paid = 1 THEN 'Yes' ELSE 'Rejected' END ) LIKE '%GERALD8314%' OR( CASE WHEN is_invoice_generated = 1 THEN 'Pending' ELSE 'Invoice Generated' END ) LIKE '%GERALD8314%'
OR DATE_FORMAT( shopify_order_created_at, '%m-%d-%Y' ) LIKE '%GERALD8314%' OR( CASE WHEN is_paused = 0 THEN 'Running' ELSE 'Paused' END ) LIKE '%GERALD8314%'
OR DATE_FORMAT( shopify_recurring_date, '%m-%d-%Y' ) LIKE '%GERALD8314%'
AND DATE_FORMAT( shopify_order_created_at, '%Y-%m-%d' ) BETWEEN ? AND ?
Also, there may be surprises in the results. Note that you have
a OR b OR c AND d
which is the same as
a OR b OR (c AND d)
I suspect you wanted
(a OR b OR c) AND d
I think the GROUP BY is unnecessary. And the HAVING clauses can be merged into the WHERE.
GROUP BY `id`
HAVING parent_id = 0
AND shopify_order_type = 1
ORDER BY `id` DESC
This has multiple issues:
DATE_FORMAT( shopify_order_created_at, '%Y-%m-%d' ) BETWEEN ? AND ?
BETWEEN is "inclusive". The way you have written the query, it will include the entire ending day. This may not be what you wanted.
Assuming the variable is a DATE or DATETIME, it can be simplified to
shopify_order_created_at BETWEEN ? AND ?
There may be more tips; fix these then come back for more.
I get error
SQL Error (1055): Expression #7 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'ifu.amount' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
after migrating to mysql 8.0 from 5.6. I know that it can be easily fixed by disabling ONLY_FULL_GROUP_BY flag, but I want it to be more compatible with mysql 8.0. So question is if I would add ifu.amount to GROUP BY it should work perfetcly fine and I won't miss any query results or anything? Now without GROUP BY ifu.amount MySQL code looks like:
select
`i`.`id` AS `institution_id`,
`i`.`name` AS `institution_name`,
`cr`.`check_date` AS `check_date`,
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) AS `can_accept`,
sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
) AS `cannot_accept`,(
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) + sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
)
) AS `suma`,
`ifu`.`amount` AS `amount`,
round(
(
(
(
(
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) * 100
) / (
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) + sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
)
)
) * `ifu`.`amount`
) * 0.01
),
2
) AS `financed_amount`
from
(
(
(
`check_results` `cr`
join `family_doctors` `fd` on((`fd`.`id` = `cr`.`doctor_id`))
)
join `institutions` `i` on((`i`.`id` = `fd`.`institution_id`))
)
join `institutions_funding` `ifu` on((`ifu`.`institution_id` = `i`.`id`))
)
where
(`cr`.`status` in (1, 0))
group by
`i`.`id`,
`i`.`name`,
`cr`.`check_date`
Thanks for help in advance!
Include amount in your group by clause.
where
(`cr`.`status` in (1, 0))
group by
`i`.`id`,
`i`.`name`,
`cr`.`check_date`,
`ifu`.`amount`
if amount is excluded on your group by clause, this will get the amount that corresponds on your id, name and check date in ascending order (default).
or
min(`ifu`.`amount`) as `amount`.
Can anyone help me to understand this big sql query. How do I break it down in small chunks to understand it ?
select t.Instrument as Instrument ,ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,SettlePrice,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
ISNULL(PrevQty +TodayBuyQty-TodaySellQty,0) as NetQty,
TodayBuyPrice, TodaySellPrice,LTP,PnL,Token
from
(
select Instrument,w.ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
TodayAvgBuyPrice as TodayBuyPrice,TodayAvgSellPrice as TodaySellPrice,
LTP,PnL,w.Token
from
(
select Symbol as Instrument, ClearingId,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
TodayAvgBuyPrice,
ISNULL( -TodaySellQty ,0) AS TodaySellQty,
TodayAvgSellPrice, NULL as LTP ,NULL as PnL ,
w.Token as Token
from
(
select Token, sum(Qty) as NetPositionQty, ClearingId,
sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END) as TodaySellQty,
sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END) as TodayBuyQty,
sum(CASE WHEN Qty < 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END), 0) as TodayAvgSellPrice,
sum(CASE WHEN Qty > 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END), 0) as TodayAvgBuyPrice
from
(
select m.Token,
(CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Strategy_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select m.Token, (CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,
Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Manual_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select Token , ClearingId , TodayBuyPrice ,
TodayBuyQty as Qty
from EOD_Holdings
where CurrentDate =
( select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
UNION ALL
select Token , ClearingId , TodaySellPrice ,
TodaySellQty as Qty
from EOD_Holdings
where CurrentDate = (
select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
) x
group by Token,ClearingId) w
JOIN(select Token, Symbol from TokenMAp ) h on w.Token = h.Token
) w
FULL OUTER JOIN(
select Token, PrevQty , ClearingId
from EOD_Holdings
where CurrentDate = ( select top 1 CurrentDAte from EOD_Holdings order by CurrentDAte desc
)
) h
on w.Token = h.Token and w.ClearingId = h.ClearingId
)t
JOIN (
select * from LatestSettlePrices
) sp
on t.Instrument = sp.Instrument
You can break the query into chunks by looking at each subquery ("select ..." ) separately and running them to see the results. You need to start with the innermost queries that do not have other select statements in the "from" or "where" clause.
Also note that this query does not seem to be a clear, neither an optimal solution.
You would want to avoid using full outer joins and union all statements for the best performance.
i made a query such as the following in codeigniter
$query = $this->db->query('SELECT tanggal,
( SELECT COUNT(*) from absensi_siswa where kehadiran="alfa" GROUP BY tanggal ) AS alfa,
( SELECT COUNT(*) from absensi_siswa where kehadiran="izin" GROUP BY tanggal ) AS izin,
( SELECT COUNT(*) from absensi_siswa where kehadiran="hadir" GROUP BY tanggal ) AS hadir,
( SELECT COUNT(*) from absensi_siswa where kehadiran="sakit" GROUP BY tanggal ) AS sakit
FROM absensi_siswa GROUP BY tanggal');
return $query->result();
Your each sub clause (select count(*) .. ) returns morethan 1 rows, From your query i assume you need individual counts based on different values of kehadiran, you simplify your query as
SELECT tanggal,
SUM(CASE WHEN kehadiran="alfa" THEN 1 ELSE 0 END) AS alfa,
SUM(CASE WHEN kehadiran="izin" THEN 1 ELSE 0 END) AS izin,
SUM(CASE WHEN kehadiran="hadir" THEN 1 ELSE 0 END) AS hadir,
SUM(CASE WHEN kehadiran="sakit" THEN 1 ELSE 0 END) AS sakit
FROM absensi_siswa
GROUP BY tanggal
Using mysql you could make sum clause even shorter like sum(kehadiran="alfa") as alfa, Putting expression in sum(a=a) will return as a boolean 0/1 or true/false and you will get a count based on your expression
my query is built like this, but I am not getting the expected result. I have tables like
company_group- group_company_id, group_company_name
store - store_id,store_name
sales_report- sales_id, group_company_id,store_id, sales_4,vat_4
warehouse_sales - warehouse_sales_id, warehouse_sales_id(FK-group_company_id), store_name(FK-store_id),date, sales_four_percent
Stock_recpt- Stock_recpt_id, group_company_id, receipt_date,input_vat_4
This the query to get the result like
company_group store_name Month sales_4 vat_4 input_vat
SELECT firm, store_name, MONTH, sales_4, vat_4, input_vat_4
FROM (select `company_group`.`group_company_name`as firm,`store`.`store_name`as store_name, MONTHNAME( receipt_date ) AS MONTH,0 AS sales_4, 0 as vat_4,sum(`input_vat_4_percent`)as input_vat_4 from
company_group,store, Stock_recpt
WHERE `company_group`.`group_company_id` = `Stock_recpt`.`group_company_id`and `store`.`store_id` = `Stock_recpt`.`store_id` and `Stock_recpt`.`purchase_type` = 'purchase_4_percent'
UNION
SELECT `company_group`.`group_company_name`as firm , `store`.`store_name`as store_name , MONTHNAME(date) AS MONTH , sum( `warehouse_sales`.`sales_four_percent`)as sales_4, sum( `warehouse_sales`.`vat_four_percent` ) AS vat_4, 0 as input_vat_4
from company_group,store, warehouse_sales
WHERE `company_group`.`group_company_id` = `warehouse_sales`.`firm_name`and `store`.`store_id` = `warehouse_sales`.`store_name`
UNION
SELECT `company_group`.`group_company_name` as firm, `store`.`store_name`as store_name,MONTHNAME( sale_date ) AS MONTH, sum( `sales_report`.`sales_four_percent`)as sales_4, sum( `sales_report`.`vat_four_percent` ) AS vat_4,0 as input_vat_4
FROM company_group,store, sales_report
WHERE `company_group`.`group_company_id` = `sales_report`.`group_company_id`and `store`.`store_id` = `sales_report`.`store_id`)a
GROUP BY firm , store_name,`MONTH`