I am writing a SQL script that is to insert a new record using data from two rows that are under the same AccountID.
My table looks like the following:
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
My fix is to find find each 7,8 combination and insert a new row with ActivityId 78 that gets the DisplayDetails from ActivityId 7 and TransactionDate from ActivityId 8.
My queries looks like the following:
SELECT *
INTO #ActivityEight
FROM Account A
WHERE A.ActivityId = 8
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM #temp2 VL WITH(NOLOCK)
JOIN #ActivityEight S
ON VL.AccountId = S.AccountId
WHERE VL.ActivityId = 7
However when I run SELECT * FROM Account I get a 78 row for each 7 and 8 row, when I should only get 1 78 row per 7 and 8 combination.
AccountID | ActivityId | DisplayDetails | TransactionDate | EnvironmentId
=============================================================================
1 7 Display1 2015-02-02 00:00:00.000 1
1 8 DisplayThis1 2018-02-02 00:00:00.000 1
1 7 Display2 1999-02-02 00:00:00.000 2
1 8 DisplayThis2 2000-02-02 00:00:00.000 2
1 78 DisplayThis1 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis2 2015-02-02 00:00:00.000 NULL
1 78 DisplayThis1 1999-02-02 00:00:00.000 NULL
1 78 DisplayThis2 1999-02-02 00:00:00.000 NULL
I believe I can utilize the EnvironmentId to achieve the desired functionality, but I'm not sure how.
Any help would be appreciated.
Thanks!
I think this will help you
INSERT INTO #Account (AccountId, ActivityId, DisplayDetails, TransactionDate)
SELECT VL.AccountId, 78, S.DisplayDetails, VL.TransactionDate
FROM Account VL WITH(NOLOCK)
JOIN Account S ON VL.AccountId = S.AccountId and VL.EnvironmentId = S.EnvironmentId
WHERE VL.ActivityId = 7 and S.ActivityId = 8
Related
Is there a way to find the solution so that I need for 2 days, there are 2 UD's because there are June 24 2 times and for the rest there are single days.
I am showing the expected output here:
Primary key UD Date
-------------------------------------------
1 123 2015-06-24 00:00:00.000
6 456 2015-06-24 00:00:00.000
2 123 2015-06-25 00:00:00.000
3 658 2015-06-26 00:00:00.000
4 598 2015-06-27 00:00:00.000
5 156 2015-06-28 00:00:00.000
No of times Number of days
-----------------------------
4 1
2 2
The logic is 4 users are there who used the application on 1 day and there are 2 userd who used the application on 2 days
You can use two levels of aggregation:
select cnt, count(*)
from (select date, count(*) as cnt
from t
group by date
) d
group by cnt
order by cnt desc;
I have the receiving and sending data for whole year. so i want to built the monthly report base on that data with the rule is Fisrt in first out. It means is the first receiving will be sent out first ...
DECLARE #ReceivingTbl AS TABLE(Id INT,ProId int, RecQty INT,ReceivingDate DateTime)
INSERT INTO #ReceivingTbl
VALUES (1,1001,210,'2019-03-12'),
(2,1001,315,'2019-06-15'),
(3,2001,500,'2019-04-01'),
(4,2001,10,'2019-06-15'),
(5,1001,105,'2019-07-10')
DECLARE #SendTbl AS TABLE(Id INT,ProId int, SentQty INT,SendMonth int)
INSERT INTO #SendTbl
VALUES (1,1001,50,3),
(2,1001,100,4),
(3,1001,80,5),
(4,1001,80,6),
(5,2001,200,6)
SELECT * FROM #ReceivingTbl ORDER BY ProId,ReceivingDate
SELECT * FROM #SendTbl ORDER BY ProId,SendMonth
Id ProId RecQty ReceivingDate
1 1001 210 2019-03-12
2 1001 315 2019-06-15
5 1001 105 2019-07-10
3 2001 500 2019-04-01
4 2001 10 2019-06-15
Id ProId SentQty SendMonth
1 1001 50 3
2 1001 100 4
3 1001 80 5
4 1001 80 6
5 2001 200 6
--- And the below is what i want:
Id ProId RecQty ReceivingDate ... Mar Apr May Jun
1 1001 210 2019-03-12 ... 50 100 60 0
2 1001 315 2019-06-15 ... 0 0 20 80
5 1001 105 2019-07-10 ... 0 0 0 0
3 2001 500 2019-04-01 ... 0 0 0 200
4 2001 10 2019-06-15 ... 0 0 0 0
Thanks!
Your question is not clear to me.
If you want to purely use the FIFO approach, therefore ignore any data the table contains, you necessarely need to order by ID, which in your example you are providing, and looks like it is in order of insert.
The first line inserted should be also the first line appearing in the select (FIFO), in order to do so you have to use:
ORDER BY Id ASC
Which will place the lower value of the ID first (1, 2, 3, ...)
To me though, this doesn't make much sense, so pay attention to the meaning o the data you actually have and leverage dates like ReceivingDate, and order by that, maybe even filtering by month of the date, below an example for January data:
WHERE MONTH(ReceivingDate) = 1
trying to update the value to table(final) from table(first_stage), both of these tables have the same field name but different values, tables contents are:
(Min_Date) date,
(Max_Date) date,
(NoofDays) int,
(IMSI) string,
(Site) string,
(Down_Link) int,
(Up_Link) int,
(Connection) int
based on IMSI and Site, if it exists on the table row then take the minimum date as Min_Date and Maximum date as Max_Date and get the
min(Min_Date),max(Max_Date)sum(NoofDays),sum(Down_Link),sum(up_Link),sum(connection)
and if the both of row id's are not matched(IMSI,Site) with table (Final) then insert the row into final table. I'm still newbee with sql
table first_stage:
MinDate Max_Date NoofDays IMSI Site Down_link Up_link Connection
2019-03-22 2019-03-26 1 222 google 1 1 1
2019-03-26 2019-03-27 3 222 youtube 1 1 1
2019-03-02 2019-03-27 5 333 facebook 2 3 1
2019-03-02 2019-03-27 5 111 facebook 20 33 11
table final:
MinDate Max_Date NoofDays IMSI Site Down_link Up_link Connection
2019-03-01 2019-03-27 1 222 google 2 2 1
2019-03-12 2019-03-25 1 222 youtube 2 2 2
2019-03-25 2019-03-27 4 333 facebook 3 6 1
it must matched with both IMSI and Site to make update statement, final table after update must be look like as the below:
table final:
MinDate Max_Date NoofDays IMSI Site Down_link Up_link Connection
2019-03-01 2019-03-27 2 222 google 3 3 2
2019-03-12 2019-03-27 4 222 youtube 3 3 3
2019-03-02 2019-03-27 9 333 facebook 5 9 2
2019-03-02 2019-03-27 5 111 facebook 20 33 11
I have never worked with vertica, but I think this might work:
MERGE
INTO FINAL
USING FIRST_STAGE
ON IMSI = FIRST_STAGE.IMSI and Site = FIRST_STAGE.Site
WHEN MATCHED THEN UPDATE SET
Min_Date = least(FIRST_STAGE.Min_Date, Min_Date),
Max_Date = greatest(FIRST_STAGE.Max_Date, Max_Date),
NoofDays = FIRST_STAGE.NoofDays + NoofDays,
Down_Link = FIRST_STAGE.Down_Link + Down_Link,
up_Link = FIRST_STAGE.up_Link + up_Link,
connection = FIRST_STAGE.connection + connection
WHEN NOT MATCHED THEN INSERT ( Min_Date,
Max_Date,
NoofDays,
IMSI,
Site,
Down_Link,
Up_Link,
Connection )
VALUES ( FIRST_STAGE.Min_Date,
FIRST_STAGE.Max_Date,
FIRST_STAGE.NoofDays,
FIRST_STAGE.IMSI,
FIRST_STAGE.Site,
FIRST_STAGE.Down_Link,
FIRST_STAGE.Up_Link,
FIRST_STAGE.Connection )
I want to calculate the average quantity customer purchases in one basket
(Where 1 Basket = Multitple purchases in 1 day)
from the table transaction and update it into cust360.average_basket_Qty
Transactions:-
Trasactions_ID cust_id Tran_date Qty Total_amt
80712190438 270351 2014-02-28 00:00:00.000 5 4265.3
29258453508 270384 2014-02-27 00:00:00.000 5 8270.925
51750724947 273420 2014-02-24 00:00:00.000 2 1748.11
93274880719 271509 2014-02-24 00:00:00.000 3 4518.345
51750724947 273420 2014-02-23 00:00:00.000 2 1748.11
97439039119 272357 2014-02-23 00:00:00.000 2 1821.04
45649838090 273667 2014-02-22 00:00:00.000 1 1602.25
Cust360 Table: -
Cust_id Gender Age Basket_count Total_sale Date Average_basket_Qty
266783 M 525 0 3113 2013-02-20 NULL
266784 F 314 1 5694 2012-12-04 NULL
266785 F 392 0 21613 2013-08-01 NULL
266788 F 551 0 6092 2013-02-12 NULL
266794 F 564 1 27981 2014-02-12 NULL
Following query should work for you
UPDATE DEST
SET DEST.Average_basket_Qty = SRC.AVG_QTY
FROM Cust360 DEST
INNER JOIN
(
SELECT CUST_ID, CAST(TRAN_DATE AS DATE), AVG(QTY) AVG_QTY
FROM Transactions
GROUP BY CUST_ID,CAST(TRAN_DATE AS DATE)
) SRC ON SRC.CUST_ID=DEST.Cust_id
I would like to get report for drink purchased in whole month but price of the drink can change any time in month and I would like to get report for a month with price change
I have two tables
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
[DrinkHistory]:
ID DrinkID UserID qty DateTaken
----------------------------------------------------------------------
1 1 1 1 2014-05-10
2 1 1 2 2014-05-15
3 2 1 1 2014-06-01
4 2 1 4 2014-06-01
5 1 1 3 2014-05-20
6 1 1 4 2014-05-30
[DrinkPricesEffect]:
PriceID DrinkID DrinkPrice PriceEffectiveDate IsCurrent
-----------------------------------------------------------------------------------
1 1 10.00 2014-05-01 1
2 1 20.00 2014-05-20 1
3 2 9.00 2014-06-01 1
4 2 8.00 2014-01-01 1
5 1 30.00 2014-05-25 1
6 1 40.00 2014-05-28 1
I would like to have result as under date taken between 2014-05-1 to 2014-05-31
DrinkId Qty Price DateTaken PriceEffectiveDate
-----------------------------------------------------------------------
1 1 10 2014-05-10 2014-05-01
1 2 10 2014-05-15 2014-05-01
1 3 20 2014-05-20 2014-05-20
1 4 40 2014-05-30 2014-05-28
Is there any who can give me some idea or write query for me?
If your drink price can change any time in a month you could additionaly save the price for each purchase. I would add a column [PricePaid] to the table [DrinkHistory].
When adding a record to [DrinkHistory], the price for the drink at the moment is known, but later it might change so you save the current price to the history...
Then for your result you could just display the Whole [DrinkHistory]
SELECT * FROM DrinkHistory;
This should work:
Select
DH.DrinkId,
DH.Qty,
DPE.DrinkPrice AS Price,
DH.DateTaken,
DPE.PriceEffectiveDate
FROM DrinkHistory DH
JOIN DrinkPricesEffect DPE ON DPE.PriceID =
(
Select Top 1 PriceID FROM
(
Select PriceID,RANK() OVER(ORDER BY PriceEffectiveDate DESC ) AS rnk
FROM DrinkPricesEffect
WHERE DH.DrinkId = DrinkId AND
DH.DateTaken >= PriceEffectiveDate
)SubQ WHERE rnk = 1
)
WHERE DH.DateTaken Between '2014-05-01' AND '2014-05-30'
Here you can find the SQL Fiddle link: http://sqlfiddle.com/#!6/5f8fb/26/0