Hey,
What is the best way to design indexes in elasticsearch?
I mean in terms of normalization vs denormalization
So am I right in thinking that because elasticsearch is a document database
we don't worry about having a denormalized model?
So let's say I'm in the "fruit" domain and I have a set of apple varieties
say:
Bailey
Baldwin
Ballyfatten
Beacon
Beauty of Bath
Belle de Boskoop agm
Ben Davis
Beverly Hills
Bismarck
Blenheim Orange agm
Bloody Ploughman
Bottle Greening
Braeburn
Bramley (Bramley's Seedling) agm
Bravo de Esmolfe
Breedon Pippin
Brina
Byfleet Seedling
I know the name will always be less than say 70 characters so if I have an
index say
stock {
apple_variety,
count,
shop,
expiry_date
}
with for example :
stock = {
"Bailey", 50, "store1", "01/01/2015",
"Baldwin", 150, "store1", "01/01/2015",
"Ballyfatten", 250, "store1", "01/01/2015",
"Beacon", 50, "store1", "01/01/2015",
"Beauty of Bath", 250, "store2", "01/01/2015"
}
is that better than
variety {
variety_id,
variety_name
}
with {
1, "Bailey",
2, "Baldwin",
3, "Ballyfatten",
4, "Beacon",
5, "Beauty of Bath",
6, "Belle de Boskoop agm",
7, "Ben Davis",
8, "Beverly Hills",
9, "Bismarck",
10, "Blenheim Orange agm",
11, "Bloody Ploughman",
12, "Bottle Greening",
13, "Braeburn",
}",
And
stock = {
1, 50, "store1", "01/01/2015",
2, 150, "store1", "01/01/2015",
3, 250, "store1", "01/01/2015",
4, 50, "store1", "01/01/2015",
5, 250, "store1", "01/01/2015"
}
I am thinking that in production there will be advantages to having
denormalised data
particularly say event of schema change then the data can remain in place
with addition of fields
If on other hand a new apple variety is insert or removed then the meaning
of apple_id : 1 might accidentally change and cause grief ?
Thoughts ?
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