Reputation: 771
How would the following query look:
Scenario:
I have two bases (base 1 and 2), with 1 column each, I would like to see the difference between them, that is, what exists in base 1 that does not exist in base 2, considering the fictitious names of the columns as hostname.
Example:
Selected value of Base1.Hostname is for Base2.Hostname?
YES → DO NOT RETURN
NO → RETURN
I have this in python for the following function:
def diff(first, second):
second = set (second)
return [item for item in first if item not in second]
Example match equal:
GET /base1/_search
{
"query": {
"multi_match": {
"query": "webserver",
"fields": [
"hostname"
],
"type": "phrase"
}
}
}
I would like to migrate this architecture to elastic search in order to generate forecast
in the future with the frequency of change of these search
in the bases
Upvotes: 0
Views: 45
Reputation: 12840
This could be done with aggregation.
GET base*/_search
{
"size": 0,
"aggs": {
"all": {
"composite": {
"size": 10,
"sources": [
{
"host": {
"terms": {
"field": "hostname"
}
}
}
]
},
"aggs": {
"base2": {
"filter": {
"match": {
"_index": "base2"
}
}
},
"index_count_bucket_filter": {
"bucket_selector": {
"buckets_path": {
"base2_count": "base2._count"
},
"script": "params.base2_count == 0"
}
}
}
}
}
}
By the way don't forget to use pagination to get rest of the result.
References :
Upvotes: 1