I need to create a table that determines the number of orders that fall into different order size ranges. However, I need to display a count of 0 for the order size range of 1,001 and Above and it isn't showing up when I run my query.
SELECT "Bucket", COUNT(*) AS "Order Count"
FROM
(SELECT CASE
WHEN O.QuantityShares <= 100 THEN '0-100'
WHEN O.QuantityShares <= 400 THEN '101-400'
WHEN O.QuantityShares <= 800 THEN '401-800'
WHEN O.QuantityShares <= 1000 THEN '801-1,000'
ELSE '1,001 and Above'
FROM OrderTransactions O)
GROUP BY "Bucket"
ORDER BY "Bucket" ASC;
You can do this with a subquery to define the buckets and then a LEFT JOIN:
SELECT b.bucket, COUNT(ot.QuantityShres) AS "Order Count"
FROM (SELECT 0 as lower, 100 as upper, '0-100' as bucket FROM dual
SELECT 101, 400, '101-400' FROM dual
. . .
) b LEFT JOIN
OrderTransactions ot
ON ot.QuantityShares BETWEEN b.lower AND b.upper
GROUP BY b.bucket
ORDER BY MIN(b.lower) ASC;
The UNPIVOTclause might make for an elegant solution.
You just need to create a table of your buckets then 'LEFT JOIN' your quantities to that.
SELECT "Bucket", COUNT(*) AS "Order Count"
FROM
(SELECT '0-100' As Bucket
UNION
SELECT '101-400' AS Bucket
UNION
SELECT '401-800' AS Bucket
UNION
SELECT '801-1,000') Buckets
LEFT JOIN
(SELECT CASE
WHEN O.QuantityShares <= 100 THEN '0-100'
WHEN O.QuantityShares <= 400 THEN '101-400'
WHEN O.QuantityShares <= 800 THEN '401-800'
WHEN O.QuantityShares <= 1000 THEN '801-1,000'
ELSE '1,001 and Above' END As Bucket
FROM OrderTransactions O) QTY
ON Buckets.Bucket = QTY.Bucket
GROUP BY Buckets.Bucket
ORDER BY Buckets.Bucket ASC;
Related
I have two tables 1. Transactions and 2. Transaction type
e.g. of transaction table with dummy data
account_key Transaction_key date amount
1 11 03/22/0219 5000
1 12 03/23/2019 6000
1 13 03/22/2019 4000
1 14 03/23/2019 3000
e.g. of Transaction_type table with dummy data
transaction_key transaction_type
11 in
12 in
13 out
14 out
I have to find the ratio of sum of amount for 2 consecutive days of similar transaction type for the same account key. for eg (5000+6000)/(4000+3000)
the database is oracle and datatype is datetime
This is what I have tried
select t1.account_key,
trunc(t1.date),
sum(t1.amount) as in,
sum(t2.amount) as out
from transactions t1
inner join transactions t2 on t1.accountkey=t2.accountkey
where t1.date between '01-jun-2017' and '30-nov-2017'
and t2.date between '01-jun-2017' and '30-nov-2017'
and t1.transaction_key in (select a.transaction_key
from transaction_type a
where a.transaction type in 'in')
and t2.transaction_key in (select b.transaction_key
from transaction_type b
where b.transaction type in 'out')
group by t1.account_key,
trunc(t1.date)
having max(trunc(t1.date))-min(trunc(t1.date)) = 1
and max(trunc(t2.date))-min(trunc(t2.date)) = 1
You can use a WITH clause, also called a "common table expression" or "CTE" to break your problem down into manageable chunks.
Here is one way to do that:
WITH txn_by_date AS (
SELECT t.account_key,
t.txn_date,
tt.transaction_type,
sum(t.amount) amount
FROM txns t
INNER JOIN txn_types tt on tt.transaction_key = t.transaction_key
GROUP BY t.account_key, t.txn_date, tt.transaction_type )
SELECT tin.account_key,
tin.txn_date,
tin.amount amount_in,
tout.txn_date,
tout.amount amount_out,
tin.amount / tout.amount ratio
FROM txn_by_date tin
INNER JOIN txn_by_date tout ON tout.txn_date = tin.txn_date + 1
AND tout.transaction_type = 'out'
AND tout.account_key = tin.account_key
WHERE tin.transaction_type = 'in';
The CTE first computes the total txn amount by account, transaction type, and day. Once you have that, the main SELECT gets each 'in' total, joins it with the 'out' total from the consecutive day, and the computes the ratio.
Here is a full example, with test data (also expressed using the WITH clause):
with txns (account_key, Transaction_key, txn_date, amount) AS
(
SELECT 1, 11, TO_DATE('03/22/2019','MM/DD/YYYY'), 5000 FROM DUAL UNION ALL
SELECT 1, 12, TO_DATE('03/23/2019','MM/DD/YYYY'), 6000 FROM DUAL UNION ALL
SELECT 1, 13, TO_DATE('03/22/2019','MM/DD/YYYY'), 4000 FROM DUAL UNION ALL
SELECT 1, 14, TO_DATE('03/23/2019','MM/DD/YYYY'), 3000 FROM DUAL ),
txn_types ( transaction_key, transaction_type ) AS
(
SELECT 11, 'in' FROM DUAL UNION ALL
SELECT 12, 'out' FROM DUAL UNION ALL
SELECT 13, 'in' FROM DUAL UNION ALL
SELECT 14, 'out' FROM DUAL ),
txn_by_date AS (
SELECT t.account_key,
t.txn_date,
tt.transaction_type,
sum(t.amount) amount
FROM txns t
INNER JOIN txn_types tt on tt.transaction_key = t.transaction_key
GROUP BY t.account_key, t.txn_date, tt.transaction_type )
SELECT tin.account_key,
tin.txn_date,
tin.amount amount_in,
tout.txn_date,
tout.amount amount_out,
tin.amount / tout.amount ratio
FROM txn_by_date tin
INNER JOIN txn_by_date tout ON tout.txn_date = tin.txn_date + 1
AND tout.transaction_type = 'out'
AND tout.account_key = tin.account_key
WHERE tin.transaction_type = 'in';
+-------------+-----------+-----------+------------+------------+-------+
| ACCOUNT_KEY | TXN_DATE | AMOUNT_IN | TXN_DATE_1 | AMOUNT_OUT | RATIO |
+-------------+-----------+-----------+------------+------------+-------+
| 1 | 22-MAR-19 | 9000 | 23-MAR-19 | 9000 | 1 |
+-------------+-----------+-----------+------------+------------+-------+
ALTERNATE VERSION, FOR ANCIENT VERSIONS OF ORACLE
For really old versions of Oracle, you may need to avoid both the WITH clause and ANSI-style joins. Here is the above query rewritten to avoid those features.
SELECT tin.account_key,
tin.txn_date,
tin.amount amount_in,
tout.txn_date,
tout.amount amount_out,
tin.amount / tout.amount ratio
FROM ( SELECT t.account_key,
t.txn_date,
tt.transaction_type,
sum(t.amount) amount
FROM txns t,
txn_types tt
WHERE tt.transaction_key = t.transaction_key
GROUP BY t.account_key, t.txn_date, tt.transaction_type ) tin,
( SELECT t.account_key,
t.txn_date,
tt.transaction_type,
sum(t.amount) amount
FROM txns t,
txn_types tt
WHERE tt.transaction_key = t.transaction_key
GROUP BY t.account_key, t.txn_date, tt.transaction_type ) tout
WHERE tin.transaction_type = 'in'
AND tout.transaction_type(+) = 'out'
AND tout.account_key(+) = tin.account_key;
I would try to use to Temporary Tables. Store the sums of each in Transaction type in two temp tables, then use them to calculate your ratio. I have not tested this query but this is basically what you are looking for:
CREATE PRIVATE TEMPORARY TABLE as In_TempTable
Select T2.Transaction_Type, sum(T1.amount) In_Total
from Transactions T1
left join Transaction_Type T2 on T2.Transaction_key = T1.Transaction_Key
where T1.date between '01-jun-2017' and '30-nov-2017'
AND T2.Transactio_Type = 'In'
group by T2.Transaction_Type;
CREATE PRIVATE TEMPORARY TABLE as Out_TempTable
Select T2.Transaction_Type, sum(T1.amount) Out_Total
from Transactions T1
left join Transaction_Type T2 on T2.Transaction_key = T1.Transaction_Key
where T1.date between '01-jun-2017' and '30-nov-2017'
AND T2.Transactio_Type = 'Out'
group by T2.Transaction_Type;
Select Sum(a.In_Total)/Sum(b.Out_Total)
from In_TempTable a
Full Outer Join Out_TempTable b on b.Transaction_Type = a.Transaction_Type
I would personally change this:
T1.date between '01-jun-2017' and '30-nov-2017'
To something like this
T1.date between startdate and startdate+2
Depending on your needs of course and you will have to declare your startdate
Is there a safe way to not have to group by a field when using an aggregate in another field? Here is my example
SELECT
C.CustomerName
,D.INDUSTRY_CODE
,CASE WHEN D.INDUSTRY_CODE IN ('003','004','005','006','007','008','009','010','017','029')
THEN 'PM'
WHEN UPPER(CustomerName) = 'ULINE INC'
THEN 'ULINE'
ELSE 'DR'
END AS BU
,ISNULL((SELECT SUM(GrossAmount)
where CONVERT(date,convert(char(8),InvoiceDateID )) between DATEADD(yy, DATEDIFF(yy, 0, GETDATE()) - 1, 0) and DATEADD(year, -1, GETDATE())),0) [PREVIOUS YEAR GROSS]
FROM factMargins A
LEFT OUTER JOIN dimDate B ON A.InvoiceDateID = B.DateId
LEFT OUTER JOIN dimCustomer C ON A.CustomerID = C.CustomerId
LEFT OUTER JOIN CRCDATA.DBO.CU10 D ON D.CUST_NUMB = C.CustomerNumber
GROUP BY
C.CustomerName,D.INDUSTRY_CODE
,A.InvoiceDateID
order by CustomerName
before grouping I was only getting 984 rows but after grouping by the A.InvoiceDateId field I am getting over 11k rows. The rows blow up since there are multiple invoices per customer. Min and Max wont work since then it will pull data incorrectly. Would it be best to let my application (crystal) get rid of the extra lines? Usually I like to have my base data be as close as possible to how the report will layout if possible.
Try moving the reference to InvoiceDateID to within an aggregate function, rather than within a selected subquery's WHERE clause.
In Oracle, here's an example:
with TheData as (
select 'A' customerID, 25 AMOUNT , trunc(sysdate) THEDATE from dual union
select 'B' customerID, 35 AMOUNT , trunc(sysdate-1) THEDATE from dual union
select 'A' customerID, 45 AMOUNT , trunc(sysdate-2) THEDATE from dual union
select 'A' customerID, 11000 AMOUNT , trunc(sysdate-3) THEDATE from dual union
select 'B' customerID, 12000 AMOUNT , trunc(sysdate-4) THEDATE from dual union
select 'A' customerID, 15000 AMOUNT , trunc(sysdate-5) THEDATE from dual)
select
CustomerID,
sum(amount) as "AllRevenue"
sum(case when thedate<sysdate-3 then amount else 0 end) as "OlderRevenue",
from thedata
group by customerID;
Output:
CustomerID | AllRevenue | OlderRevenue
A | 26070 | 26000
B | 12035 | 12000
This says:
For each customerID
I want the sum of all amounts
and I want the sum of amounts earlier than 3 days ago
I have a database table that records transactions in a shop. The main data recorded is the cost of each item. E.g.
Item || Cost
TV || 80.00
XboxGame || 55.00
Monitor || 45.00
Controller || 15.00
I want to find out the number of items purchased that cost less than $25, how many cost between $25 and $49.99, and how many cost $50 and above. This should be the result of running the sql command:
Table1 (Target):
Cost || Number of Items
==================================
Less than $25 || 1
$25 - $49.99 || 1
$50 and above || 2
I have tried the following:
SELECT (SELECT COUNT(*) AS Expr1
FROM tblTransactions
WHERE (Cost < 25)) AS [Less than $25],
(SELECT COUNT(*) AS Expr1
FROM tblTransactions AS tblTransactions_1
WHERE (Cost >= 25) AND (Cost < 50)) AS [$25 - $49.99],
(SELECT COUNT(*) AS Expr1
FROM tblTransactions AS tblTransactolions_2
WHERE (ContributionAmount >= 50)) AS [$50 and above];
However this produces:
Table 2 (actual result)
Less than $25 || $25 - $49.99 || $50 and above
========================================
1 || 1 || 2
My main question is: how do I change my SQL so that it produces Table 1, instead of Table 2?
Use Group By:
Select
[Cost] = CASE WHEN cost < 25 then 'Less than $25'
WHEN cost >= 25 and cost < 50 then '$25 - $49.99'
WHEN cost >= 50 then '$50 and above' END
,COUNT(*) As [Count]
FROM tblTransactions
GROUP BY (CASE WHEN cost < 25 then 'Less than $25'
WHEN cost >= 25 and cost < 50 then '$25 - $49.99'
WHEN cost >= 50 then '$50 and above' END)
ORDER BY CASE WHEN
cost < 25 then '1'
WHEN cost >= 25 and cost < 50 then '2'
WHEN cost >= 50 then '3' END
Edited to include a sorting.
You need to have separate queries that are unioned together:
SELECT 'Less than $25' AS [Cost], COUNT(*) AS [Number of Items]
FROM tblTransactions
WHERE (Cost < 25)
UNION ALL
SELECT '$25 - $49.99', COUNT(*)
FROM tblTransactions AS tblTransactions_1
WHERE (Cost >= 25) AND (Cost < 50)
UNION ALL
SELECT '$50 and above', COUNT(*)
FROM Transactions AS tblCoachBudgetHistory_2
WHERE (ContributionAmount >= 50)
Use UNION ALL:
SELECT 'Some text' AS [Label],
COUNT(*)
FROM TABLE
WHERE SomeCol = 'some val'
UNION ALL
SELECT 'Some text' AS [Label],
COUNT(*)
FROM TABLE
WHERE SomeCol = 'some val'
You could do that with a UNION
(SELECT COUNT(*) AS Count,
, "Less than $25" AS Label
FROM tblTransactions
WHERE Cost < 25)
UNION ALL
(SELECT COUNT(*) AS Count
, "$25 - $49.99" as Label
FROM tblTransactions
WHERE (Cost >= 25) AND (Cost < 50))
UNION ALL
(SELECT COUNT(*) AS Count
,"$50 and above" as Label
FROM Transactions
WHERE ContributionAmount >= 50)
If I were writing this, I would start with a subquery (or view) to first group the values into buckets.
SELECT
(CASE WHEN (Cost >= 50) THEN 50
WHEN (Cost >= 25) THEN 25
ELSE 0 END) as costLevel
FROM transactions t
Then it's trivial to group.
SELECT
(CASE costLevel WHEN 50 THEN '$50 and above'
WHEN 25 THEN '$25 - $49.99'
ELSE 'Less than $25' END) as [Cost]
, COUNT(*) AS [Number of Items]
FROM (thePreviousQuery) AS cl
GROUP BY costLevel
-- optional:
-- ORDER BY costLevel
The above syntax is for SQL Server, so YMMV elsewhere. (I've also treated tblTransactions and Transactions as a typo.)
Personally, I tend to prefer range tables for this;
SELECT name, COUNT(*)
FROM (VALUES ('Less than $25', CAST(0 as DECIMAL(5, 2)), CAST(25 as DECIMAL(5, 2))),
('$25 - $49.99', 25, 50),
('$50 and above', 50, null)) Range(name, lower, upper)
LEFT JOIN Transactions
ON cost >= lower
AND (upper IS NULL OR cost < upper)
GROUP BY name
(and working fiddle example. Should work on any RDBMS, pretty much)
This has the added benefit that the table can actually be persisted, meaning maintainable by end-users. Also, an index on cost can be used by the optimizer, meaning potentially better performant queries. Due to the LEFT JOIN, you'll also get a 0 count for ranges that have no transactions.
I have a SELECT statement that counts the number of instances and then saves in a variable. It has a HAVING clause that does a SUM and a COUNT. However since you have to have a GROUP BY in order to use having, the select statement returns 4 lines that are 1 instead of the total being 4. This then doesn't save the count into the variable as 4 but as 1 which obviously is not what I need so I am looking for an alternative work around.
select count(distinct p1.community)
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
group By
p1.community
having
sum(p1.status_1) / count(p1.control_code) >= .16;
This is a reasonable alternative:
select count(*)
from (
select p1.community , sum(p1.status_1) / count(p1.control_code) SomeColumn
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
Group By
p1.community
) A
where A.SomeColumn >= .16;
I have a question about a SQL query I am trying to write.
I need to query data from a database.
The database has, amongst others, these 3 fields:
Account_ID #, Date_Created, Time_Created
I need to write a query that tells me how many accounts were opened per hour.
I have written said query, but there are times that there were 0 accounts created, so these "hours" are not populated in the results.
For example:
Volume Date__Hour
435 12-Aug-12 03
213 12-Aug-12 04
125 12-Aug-12 06
As seen in the example above, hour 5 did not have any accounts opened.
Is there a way that the result can populate the hour but and display 0 accounts opened for this hour?
Example of how I want my results to look like:
Volume Date_Hour
435 12-Aug-12 03
213 12-Aug-12 04
0 12-Aug-12 05
125 12-Aug-12 06
Thanks!
Update: This is what I have so far
SELECT count(*) as num_apps, to_date(created_ts,'DD-Mon-RR') as app_date, to_char(created_ts,'HH24') as app_hour
FROM accounts
WHERE To_Date(created_ts,'DD-Mon-RR') >= To_Date('16-Aug-12','DD-Mon-RR')
GROUP BY To_Date(created_ts,'DD-Mon-RR'), To_Char(created_ts,'HH24')
ORDER BY app_date, app_hour
To get the results you want, you will need to create a table (or use a query to generate a "temp" table) and then use a left join to your calculation query to get rows for every hour - even those with 0 volume.
For example, assume I have a table with app_date and app_hour fields. Also assume that this table has a row for every day/hour you wish to report on.
The query would be:
SELECT NVL(c.num_apps,0) as num_apps, t.app_date, t.app_hour
FROM time_table t
LEFT OUTER JOIN
(
SELECT count(*) as num_apps, to_date(created_ts,'DD-Mon-RR') as app_date, to_char(created_ts,'HH24') as app_hour
FROM accounts
WHERE To_Date(created_ts,'DD-Mon-RR') >= To_Date('16-Aug-12','DD-Mon-RR')
GROUP BY To_Date(created_ts,'DD-Mon-RR'), To_Char(created_ts,'HH24')
ORDER BY app_date, app_hour
) c ON (t.app_date = c.app_date AND t.app_hour = c.app_hour)
I believe the best solution is not to create some fancy temporary table but just use this construct:
select level
FROM Dual
CONNECT BY level <= 10
ORDER BY level;
This will give you (in ten rows):
1
2
3
4
5
6
7
8
9
10
For hours interval just little modification:
select 0 as num_apps, (To_Date('16-09-12','DD-MM-RR') + level / 24) as created_ts
FROM dual
CONNECT BY level <= (sysdate - To_Date('16-09-12','DD-MM-RR')) * 24 ;
And just for the fun of it adding solution for you(I didn't try syntax, so I'm sorry for any mistake, but the idea is clear):
SELECT SUM(num_apps) as num_apps, to_date(created_ts,'DD-Mon-RR') as app_date, to_char(created_ts,'HH24') as app_hour
FROM(
SELECT count(*) as num_apps, created_ts
FROM accounts
WHERE To_Date(created_ts,'DD-Mon-RR') >= To_Date('16-09-12','DD-MM-RR')
UNION ALL
select 0 as num_apps, (To_Date('16-09-12','DD-MM-RR') + level / 24) as created_ts
FROM dual
CONNECT BY level <= (sysdate - To_Date('16-09-12','DD-MM-RR')) * 24 ;
)
GROUP BY To_Date(created_ts,'DD-Mon-RR'), To_Char(created_ts,'HH24')
ORDER BY app_date, app_hour
;
You can also use a CASE statement in the SELECT to force the value you want.
It can be useful to have a "sequence table" kicking around, for all sorts of reasons, something that looks like this:
create table dbo.sequence
(
id int not null primary key clustered ,
)
Load it up with million or so rows, covering positive and negative values.
Then, given a table that looks like this
create table dbo.SomeTable
(
account_id int not null primary key clustered ,
date_created date not null ,
time_created time not null ,
)
Your query is then as simple as (in SQL Server):
select year_created = years.id ,
month_created = months.id ,
day_created = days.id ,
hour_created = hours.id ,
volume = t.volume
from ( select * ,
is_leap_year = case
when id % 400 = 0 then 1
when id % 100 = 0 then 0
when id % 4 = 0 then 1
else 0
end
from dbo.sequence
where id between 1980 and year(current_timestamp)
) years
cross join ( select *
from dbo.sequence
where id between 1 and 12
) months
left join ( select *
from dbo.sequence
where id between 1 and 31
) days on days.id <= case months.id
when 2 then 28 + years.is_leap_year
when 4 then 30
when 6 then 30
when 9 then 30
when 11 then 30
else 31
end
cross join ( select *
from dbo.sequence
where id between 0 and 23
) hours
left join ( select date_created ,
hour_created = datepart(hour,time_created ) ,
volume = count(*)
from dbo.SomeTable
group by date_created ,
datepart(hour,time_created)
) t on datepart( year , t.date_created ) = years.id
and datepart( month , t.date_created ) = months.id
and datepart( day , t.date_created ) = days.id
and t.hour_created = hours.id
order by 1,2,3,4
It's not clear to me if created_ts is a datetime or a varchar. If it's a datetime, you shouldn't use to_date; if it's a varchar, you shouldn't use to_char.
Assuming it's a datetime, and borrowing #jakub.petr's FROM Dual CONNECT BY level trick, I suggest:
SELECT count(*) as num_apps, to_char(created_ts,'DD-Mon-RR') as app_date, to_char(created_ts,'HH24') as app_hour
FROM (select level-1 as hour FROM Dual CONNECT BY level <= 24) h
LEFT JOIN accounts a on h.hour = to_number(to_char(a.created_ts,'HH24'))
WHERE created_ts >= To_Date('16-Aug-12','DD-Mon-RR')
GROUP BY trunc(created_ts), h.hour
ORDER BY app_date, app_hour