1) Regular text file 1
Here there is only one word per line. Each line is
a separate record and has no bearing on the other
lines. Each record can be a string or a number.
===================================================

impala
sable
duiker
eland
===================================================

2) Regular text file 2
On line, one record made up of individual fields
with a delimiter. Number of fields in each record
is the same (regular)

===================================================

impala,South Africa,brown,5000,false
impala,Botswana,brown,5000,false
impala,Mozambique,brown,7000,false

==================================================

3) Additional information is bound to another field.
Here the country is bound to the animal type.
ZA - Zambia. BO - Botswana. MZ - Mozambique.
Here character/String handling is useful to isolate
the country information.

==================================================

impala ZA,brown,5000,false
impala BO,brown,5000,false
impala MZ,brown,7000,false

==================================================
4) Separate records are all on one line.
Here the delimiter is useful to create the individual
animal objects.

==================================================

impala ZA,impala BO,impala MZ

==================================================

5) Here one record is spread over more than one line.
With no delimiter the whole line is read in and
then grouped with its allied data below using relevant
code within the while loop.

==================================================

impala
ZA
brown
5000
false
impala
BO
brown
6000
false
impala
MZ
brown
7000
true

=====================================================

6) Here the number of fields per record differ (irregular)
The protection field does not apply to Mozambique. Here the
while loop must be able to discern the number of fields
to avoid the program crashing.

=====================================================

sable ZA,black,65000,true
sable MZ,grey,75000
sable ZM,black,85000,true
duiker ZA,blown,1000,false
duiker MZ,brown,2000
duiker ZM,brown,3000,false
gemsbok NM,white,50000,true

=====================================================

7) With date, time or with date/time. Here the date
must be read in as a string and then parsed to a date
object. 
May need to use DateTimeFormatter.ofPattern("  ")
if the default format of "yyyy-MM-dd" is not used.

=====================================================

Tayla Wentzel#892#Engineering#2#04/07/2020
Kwagga Kolisi#721#Medical
Nomathamsanqa Geldenhuys#371#Security
Malcolm Malherbe#279#Security
Sibusiso Louw#277#Medical#1#17/07/2020
Francois de Jager#317#Medical
Bongi le Roux#461#Security#3#29/12/2020
Jesse Nyakane#397#Engineering#3#22/09/2019
Lamla Weston#270#Flight
Siviwe Tywaleni#131#Medical#5#20/10/2018

===================================================

8) Here individual records are part of a bigger record 
structure ie 12 animal records made up of 6 shipments.
By reading the animal records we can create the
shiping records ie 12 animal objects but only 6
shipping objects.
Create the animal objects first and then use a 
another method to generate the shipment records later.

===================================================

1,impala ZA,brown,5000,false
1,impala BO,brown,5000,false
2,impala MZ,brown,7000,false
2,eland ZA,grey,35000,false
2,eland NM,grey,55000,true
2,sable ZA,black,65000,true
3,sable BO,grey,75000,true
4,sable ZM,black,85000,true
4,duiker ZA,blown,1000,false
4,duiker MZ,brown,2000,true
5,duiker ZM,brown,3000,false
6,gemsbok NM,white,50000,true