Subject: OrderBy Year and Month is not displaying correctly


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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