Azure stream analytics - Joining on a csv file returns 0 rows - azure

Question

I have the following query:
SELECT
[VanList].deviceId
,[VanList].[VanName]
events.[timestamp]
,events.externaltemp
,events.internaltemp
,events.humidity
,events.latitude
,events.longitude
INTO
[iot-powerBI]
FROM
[iot-EventHub] as events timestamp by [timestamp]
join [VanList] on events.DeviceId = [VanList].deviceId
where iot-eventHub is my event hub and VanList is a reference list (csv file) that has been uploaded to azure storage.
I have tried uploading sample data to test the query, but it always returns 0 rows.
Below is a sample of the JSON captured by my Event Hub Input
[
{
"DeviceId":1,
"Timestamp":"2015-06-29T12:15:18.0000000",
"ExternalTemp":9,
"InternalTemp":8,
"Humidity":43,
"Latitude":51.3854942,
"Longitude":-1.12774682,
"EventProcessedUtcTime":"2015-06-29T12:25:46.0932317Z",
"PartitionId":1,
"EventEnqueuedUtcTime":"2015-06-29T12:15:18.5990000Z"
} ]
Below is a sample of my CSV reference data.
deviceId,VanName
1,VAN 1
2,VAN 2
3,Standby Van
Both lists contain a device id of 1, so I am expecting my query to be able to join the two together.
I have tried using both "inner join" and "join" in my query syntax, but neither result in a successful join.
What is wrong with my Stream Analytics query?

Answer 1

Try adding a CAST function in the join. I'm not sure why that works and adding a CREATE TABLE clause for the VanList reference data input doesn't accomplish the same thing. But I think this works.
SELECT
[VanList].deviceId
,[VanList].[VanName]
,events.[timestamp]
,events.externaltemp
,events.internaltemp
,events.humidity
,events.latitude
,events.longitude
INTO
[iot-powerBI]
FROM
[iot-EventHub] as events timestamp by [Timestamp]
join [VanList] on events.DeviceId = cast([VanList].deviceId as bigint)

Answer 2

The only thing I can see is you are missing a comma in your original query, otherwise it looks correct. I would try recreating the Stream Analytics job. Here is another example that worked for me.
SELECT
countryref.CountryName as Geography,
input.GeographyId as GeographyId
into [country-out]
FROM input timestamp by [TransactionDateTime]
Join countryref
on countryref.GeographyID = input.GeographyId here
Input data example
{"pageid":801,"firstname":"Gertrude","geographyid":2,"itemid":2,"itemprice":79.0,"transactiondatetime":"2015-06-30T14:25:51.0000000","creditcardnumber":"2ggnC"}
{"pageid":801,"firstname":"Venice","geographyid":1,"itemid":10,"itemprice":169.0,"transactiondatetime":"2015-06-30T14:25:51.0000000","creditcardnumber":"xLyOp"}
{"pageid":801,"firstname":"Christinia","geographyid":2,"itemid":2,"itemprice":79.0,"transactiondatetime":"2015-06-30T14:25:51.0000000","creditcardnumber":"VuycQ"}
{"pageid":801,"firstname":"Dorethea","geographyid":4,"itemid":2,"itemprice":79.0,"transactiondatetime":"2015-06-30T14:25:51.0000000","creditcardnumber":"tgvQP"}
{"pageid":801,"firstname":"Dwain","geographyid":4,"itemid":4,"itemprice":129.0,"transactiondatetime":"2015-06-30T14:25:51.0000000","creditcardnumber":"O5TwV"}
Country ref data
[
{
"GeographyID":1,
"CountryName":"USA"
},
{
"GeographyID":2,
"CountryName":"China"
},
{
"GeographyID":3,
"CountryName":"Brazil"
},
{
"GeographyID":4,
"CountryName":"Andrews country"
},
{
"GeographyID":5,
"CountryName":"Chile"
}
]