Reputation: 4998
I need to merge to maps while perform some calculation for example having the following maps that always will be the same size
def map1 = [
[name: 'Coord1', quota: 200],
[name: 'Coord2', quota: 300]
]
def map2 = [
[name: 'Coord1', copiesToDate: 270],
[name: 'Coord2', copiesToDate: 30]
]
I want to get this map
def map3 = [
[name: 'Coord1', quota: 200, copiesToDate: 60, balance: 140],
[name: 'Coord2', quota: 300, copiesToDate: 30, balance: 270]
]
Right now i am trying with this solution and its working
def map4 = map1.collect { m1 ->
[
name: m1.name,
quota: m1.quota,
copiesToDate: map2.find { m2 ->
m1.name == m2.name
}.copiesToDate,
balanceToDate: m1.quota - map2.find { m2 ->
m1.name == m2.name
}.copiesToDate
]}
Could you please share a groovy way to do this task. Thanks
Upvotes: 3
Views: 2285
Reputation: 4482
Grooviest code I could come up with:
def map3 = [map1, map2].transpose()*.sum().each { m ->
m.balance = m.quota - m.copiesToDate
}
edit: as noted by Tim, this code works as long as the two input lists (map1 and map2) are of the same size and have the maps in order. If this is not the case I would recommend Tim's answer which handles those cases.
The above returns the map as defined in your question. The following code:
def list1 = [
[name: 'Coord1', quota: 200],
[name: 'Coord2', quota: 300]
]
def list2 = [
[name: 'Coord1', copiesToDate: 60],
[name: 'Coord2', copiesToDate: 30]
]
def x = [list1, list2].transpose()*.sum().each { m ->
m.balance = m.quota - m.copiesToDate
}
x.each {
println it
}
demonstrates the idea and prints:
[name:Coord1, quota:200, copiesToDate:60, balance:140]
[name:Coord2, quota:300, copiesToDate:30, balance:270]
I have renamed map1
and map2
into list1
and list2
since they are in fact two lists containing inner maps.
The code is somewhat concise and might need a bit of explanation if you're not used to transpose
and the groovy spread and map operations.
Explanation:
[list1, list2]
- first we create a new list where the two existing lists are elements. So we now have a list of lists where the elements in the inner lists are maps. .transpose()
- we then call transpose which might need a bit of effort to grasp when you see it for the first time. If you have a list of lists, you can see transpose as flipping the lists "into the other direction". In our case the two lists:
[[name:Coord1, quota:200], [name:Coord2, quota:300]]
[[name:Coord1, copiesToDate:60], [name:Coord2, copiesToDate:30]]
become:
[[name:Coord1, quota:200], [name:Coord1, copiesToDate:60]]
[[name:Coord2, quota:300], [name:Coord2, copiesToDate:30]]
i.e. after transpose, everything relating to Coord1 is in the first list and everything relating to Coord2 is in the second.
*.
we therefore call sum()
on each list of maps. i.e.:
[[name:Coord1, quota:200], [name:Coord1, copiesToDate:60]].sum()
computes into:
[name:Coord1, quota:200, copiesToDate:60]
and:
[[name:Coord2, quota:300], [name:Coord2, copiesToDate:30]].sum()
into:
[name:Coord2, quota:300, copiesToDate:30]
balance
property to the maps so we iterate through what is now a list of two maps and add balance as a computation of quota - copiesToDate. The each
construct returns the list it is working on which is what we assign to x. Upvotes: 3
Reputation: 171084
Another option for fun :-)
def result = (map1 + map2).groupBy { it.name }
.values()
*.sum()
.collect { it << ['balance': it.quota - it.copiesToDate] }
balance
Upvotes: 2
Reputation: 246807
Don't call find
twice. Use the Map.plus() method to append new entries. Handle missing names from map2.
def map3 = map1.collect {m1 ->
def m2 = map2.find {it.name == m1.name} ?: [copiesToDate: 0]
m1 + m2 + [balance: m1.quota - m2.copiesToDate]
}
Upvotes: 2