There is a collection of e$-$commerce transactions that occurred in NSW in $2020,$ which records transaction ID$,$ seller ID$,$ buyer ID$,$ date of transaction, suburb of buyer, total price of the transaction. Now you are asked to write MapReduce programs in Python. The programs need to complete the following two tasks.

Task $1$: count the total number of transactions in each suburb and in each month, and

Task $2$: generate a sorted list of $($month$,$ suburb, # of all transactions in the suburb$).$ This list is ordered first by chronological order of months, then by descending order of # of all transactions in each suburb.

A sample output can be found below:

December Marsfield $51,198$

December Eastwood $50,799$

December Epping $49,649$

$...$

July Chatswood $61,348$

July Lane Cove $51,002$

July Blacktown $50,834$

$...$

January Macquarie Park $38,146$

January Epping $28,844$

January Eastwood $25,491$

$(1)$ Introduce the steps in each task and explain where and how to use MapReduce model in each task.

$(2)$ Draw a diagram to introduce the workflow of each task.