The distinct transformation does not preserve order, you need to
distinct first, then orderby.
Enrico
Am 06.01.20 um 00:39 schrieb Mich Talebzadeh:
Hi,
I am working out monthly outgoing etc from an account and I am using
the following code
import org.apache.spark.sql.expressions.Window
val wSpec =
Window.partitionBy(year(col("transactiondate")),month(col("transactiondate")))
joint_accounts.
select(year(col("transactiondate")).as("Year")
, month(col("transactiondate")).as("Month")
, sum("moneyin").over(wSpec).cast("DECIMAL(10,2)").as("incoming
Per Month")
, sum("moneyout").over(wSpec).cast("DECIMAL(10,2)").as("outgoing
Per Month")).
*orderBy(year(col("transactiondate")),month(col("transactiondate"))).*
distinct.
show(1000,false)
This shows as follows:
|Year|Month|incoming Per Month|outgoing Per Month|
+----+-----+------------------+------------------+
|2019|9 |13958.58 |17920.31 |
|2019|11 |4032.30 |4225.30 |
|2020|1 |1530.00 |1426.91 |
|2019|10 |10029.00 |10067.52 |
|2019|12 |742.00 |814.49 |
+----+-----+------------------+------------------+
however the orderby is not correct as I expect to see 2010 record and
2019 records in the order of year and month.
Any suggestions?
Thanks,
Dr Mich Talebzadeh
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