Snappydata - sql put into on jobserver don't aggregate values - spark-streaming

Question

I'm trying to create a jar to run on snappy-job shell with streaming.
I have aggregation function and it works in windows perfectly. But I need to have a table with one value for each key. Base on a example from github a create a jar file and now I have problem with put into sql command.
My code for aggregation:
val resultStream: SchemaDStream = snsc.registerCQ("select publisher, cast(sum(bid)as int) as bidCount from " +
"AggrStream window (duration 1 seconds, slide 1 seconds) group by publisher")
val conf = new ConnectionConfBuilder(snsc.snappySession).build()
resultStream.foreachDataFrame(df => {
df.write.insertInto("windowsAgg")
println("Data received in streaming window")
df.show()
println("Updating table updateTable")
val conn = ConnectionUtil.getConnection(conf)
val result = df.collect()
val stmt = conn.prepareStatement("put into updateTable (publisher, bidCount) values " +
"(?,?+(nvl((select bidCount from updateTable where publisher = ?),0)))")
result.foreach(row => {
println("row" + row)
val publisher = row.getString(0)
println("publisher " + publisher)
val bidCount = row.getInt(1)
println("bidcount : " + bidCount)
stmt.setString(1, publisher)
stmt.setInt(2, bidCount)
stmt.setString(3, publisher)
println("Prepared Statement after bind variables set: " + stmt.toString())
stmt.addBatch()
}
)
stmt.executeBatch()
conn.close()
})
snsc.start()
snsc.awaitTermination()
}
I have to update or insert to table updateTable, but during update command the current value have to added to the one from stream.
And now :
What I see when I execute the code:
select * from updateTable;
PUBLISHER |BIDCOUNT
--------------------------------------------
publisher333 |10
Then I sent message to kafka:
1488487984048,publisher333,adv1,web1,geo1,11,c1
and again select from updateTable:
select * from updateTable;
PUBLISHER |BIDCOUNT
--------------------------------------------
publisher333 |11
the Bidcount value is overwritten instead of added.
But when I execute the put into command from snappy-sql shell it works perfectly:
put into updateTable (publisher, bidcount) values ('publisher333',4+
(nvl((select bidCount from updateTable where publisher =
'publisher333'),0)));
1 row inserted/updated/deleted
snappy> select * from updateTable;
PUBLISHER |BIDCOUNT
--------------------------------------------
publisher333 |15
Could you help me with this case? Mayby someone has other solution for insert or update value using snappydata ?
Thank you in advanced.

Answer 1

bidCount value is read from tomi_update table in case of streaming but it's getting read from updateTable in case of snappy-sql. Is this intentional? May be you wanted to use updateTable in both the cases ?