Azure Stream Analytics - Joining Two Streaming Source - azure

Question

I am trying to join 2 Streaming Source which produces the same data output from EventHub.
I am trying to find the Maximum Open Price for the Stock every 5 mins and trying to write it to the the Table. I am interested in the time at within the 5 min window at which the stock was maximum and the window time.
I used the below mentioned query but it isn't producing any output for the same.
I think I have messed the joining the condition.
WITH Source1 AS (
SELECT
System.TimeStamp() as TimeSlot,max([open]) as 'MaxOpenPrice'
FROM
EventHubInputData TIMESTAMP BY TimeSlot
GROUP BY TumblingWindow(minute,5)
),
Source2 AS(
SELECT EventEnqueuedUtcTime,[open]
FROM EventHubInputDataDup TIMESTAMP BY EventEnqueuedUtcTime),
Source3 as (
select Source2.EventEnqueuedUtcTime as datetime,Source1.MaxOpenPrice,System.TimeStamp() as TimeSlot
FROM Source1
JOIN Source2
ON Source2.[Open] = Source1.[MaxOpenPrice] AND DATEDIFF (minute,Source1,Source2) BETWEEN 0 AND 5
)
SELECT datetime,MaxOpenPrice,TimeSlot
INTO EventHubOutPutSQLDB
FROM Source3 ```

Answer 1

The logic is good here. First you identify the maximum value on each window of 5 minutes, then you lookup in the original stream the time at which it happened.
WITH MaxOpen5MinTumbling AS (
SELECT
--TickerId,
System.TimeStamp() AS WindowEnd, --this always return the end of the window when windowing
MAX([open]) AS 'MaxOpenPrice'
FROM EventHubInputData --no need to timestamp if using ingestion time
GROUP BY TumblingWindow(minute,5)
)
SELECT
--M.TickedId,
M.WindowEnd,
M.MaxOpenPrice,
O.EventEnqueuedUtcTime AS MaxOpenPriceTime
FROM MaxOpen5MinTumbling M
LEFT JOIN EventHubInputData O
ON M.MaxOpenPrice = o.[open]
AND DATEDIFF(minute,M,O) BETWEEN -5 AND 0 --The new timestamp is at the end of the window, you need to look back 5 minutes
--AND M.TickerId = O.TickerId
Note that at this point you could get multiple results per time window if the max price happens multiple times.