Suppose I create an index on Object_pair(values).val.data.
Will my index store the “values” field as an array (with elements name for ID and val for data due to object_pair)?
If so, and also if my n1ql query is a covered query (fetching only Object_pair(values).val.data via select clause), will there still be a performance overhead? (because I am under the impression that in the above case, as index would already contain “values” field as an array, no actual object_pair transformation would take place hence avoiding the overhead. Only in the case of a non-covered query will the actual document be accessed and object_pair transformation done on “values” field).
Couchbase document:
"values": {
"item_1": {
"data": [{
"name": "data_1",
"value": "A"
},
{
"name": "data_2",
"value": "XYZ"
}
]
},
"item_2": {
"data": [{
"name": "data_1",
"value": "123"
},
{
"name": "data_2",
"value": "A23"
}
]
}
}
}```
UPDATE:
suppose if we plan to create index on Object_pair(values)[*].val.data & Object_pair(values)[*].name
Index: CREATE INDEX idx01 ON ent_comms_tracking(ARRAY { value.name, value.val.data} FOR value IN object_pairs(values) END)
Query: SELECT ARRAY { value.name, value.val.data} FOR value IN object_pairs(values) END as values_array FROM bucket