Hands-On Design Patterns and Best Practices with Julia

Handling nested object structures

The preceding sample case works fine for any flat data structure. Nowadays, it is not uncommon to design types that contain other composite types. Let's drill down a little bit deeper to see how we can handle such a nested structure.

First, suppose that we want to separate the fields related to the fare in a separate composite data type:

struct TripPayment    vendor_id::String    tpep_pickup_datetime::String    tpep_dropoff_datetime::String    passenger_count::Int    trip_distance::Float64    fare::Fareendstruct Fare    fare_amount::Float64    extra::Float64    mta_tax::Float64    tip_amount::Float64    tolls_amount::Float64    improvement_surcharge::Float64    total_amount::Float64end

We can adjust the file reader slightly:

function read_trip_payment_file(file) ...