What is the performance, disk usage and speed of a compound index(with an array index) and a compound index with a separate array index?
Lets say I have a document with a structure similar to this
key1:value1,
key2:value2,
key3:value3,
key4:value4,
data:[
value5,
value6,
value7,
},
key8:value8
From what I understand of Couchbase N1QL if I create an index and query similar to:
CREATE INDEX indx_data ON document(key1,key4, ALL DISTINCT ARRAY v FOR v IN data END
SELECT * FROM document WHERE key1=value1 AND key4=value4 AND ANY v IN data SATISFIES v=value5 END AND ANY v IN data SATISFIES v=value6
The first part of the index will be used on the query but with the second value for data(ANY v IN data SATISFIES v=value6) the index will not be used? So would it be better to have an index for key1 and key4 and then a separate index for the array to be able to compare it? Or is there a way to use the compound index including the array?
Also another question that just popped up:
It is better to have a document to index as I just presented or similar to:
key1:value1,
key2:value2,
key3:value3,
key4:value4,
data:{
key5:value5,
key6:value6,
key7:value7,
},
key8:value8
This question is also performance
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