Distribute missing across multiple values
Elasticsearch has this missing property that assign buckets with missing value some some other value.
I'm just wondering if there is a way to distribute the bucket across many buckets or even still just distribute them to the already existing buckets.
Use case:
Take documents that need to index location fields.
...
"locations": [
"city" : "LA",
"suburb": "Beverly Hills"
,
"city" : "LA",
"suburb": "Hollywood"
]
Some documents need to index to one suburb and can go till suburb level while others span multiple suburbs. Instead of indexing documents to all suburbs, just index the document till city level and all suburbs missing suburb span the whole city (i.e. all suburbs in city)
...
"locations": [
"city" : "LA"
]
Including the document is search results is not much of a problem, problem now is to count those documents for all suburbs. So in essence if LA has 2 suburbs and the above is our only document, we end up with the following buckets for suburb aggregation.
"buckets" : [
"key" : "Beverly Hills",
"doc_count" : 1
,
"key" : "Hollywood",
"doc_count" : 1
]
elasticsearch elasticsearch-net
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
add a comment |
Elasticsearch has this missing property that assign buckets with missing value some some other value.
I'm just wondering if there is a way to distribute the bucket across many buckets or even still just distribute them to the already existing buckets.
Use case:
Take documents that need to index location fields.
...
"locations": [
"city" : "LA",
"suburb": "Beverly Hills"
,
"city" : "LA",
"suburb": "Hollywood"
]
Some documents need to index to one suburb and can go till suburb level while others span multiple suburbs. Instead of indexing documents to all suburbs, just index the document till city level and all suburbs missing suburb span the whole city (i.e. all suburbs in city)
...
"locations": [
"city" : "LA"
]
Including the document is search results is not much of a problem, problem now is to count those documents for all suburbs. So in essence if LA has 2 suburbs and the above is our only document, we end up with the following buckets for suburb aggregation.
"buckets" : [
"key" : "Beverly Hills",
"doc_count" : 1
,
"key" : "Hollywood",
"doc_count" : 1
]
elasticsearch elasticsearch-net
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
add a comment |
Elasticsearch has this missing property that assign buckets with missing value some some other value.
I'm just wondering if there is a way to distribute the bucket across many buckets or even still just distribute them to the already existing buckets.
Use case:
Take documents that need to index location fields.
...
"locations": [
"city" : "LA",
"suburb": "Beverly Hills"
,
"city" : "LA",
"suburb": "Hollywood"
]
Some documents need to index to one suburb and can go till suburb level while others span multiple suburbs. Instead of indexing documents to all suburbs, just index the document till city level and all suburbs missing suburb span the whole city (i.e. all suburbs in city)
...
"locations": [
"city" : "LA"
]
Including the document is search results is not much of a problem, problem now is to count those documents for all suburbs. So in essence if LA has 2 suburbs and the above is our only document, we end up with the following buckets for suburb aggregation.
"buckets" : [
"key" : "Beverly Hills",
"doc_count" : 1
,
"key" : "Hollywood",
"doc_count" : 1
]
elasticsearch elasticsearch-net
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
Elasticsearch has this missing property that assign buckets with missing value some some other value.
I'm just wondering if there is a way to distribute the bucket across many buckets or even still just distribute them to the already existing buckets.
Use case:
Take documents that need to index location fields.
...
"locations": [
"city" : "LA",
"suburb": "Beverly Hills"
,
"city" : "LA",
"suburb": "Hollywood"
]
Some documents need to index to one suburb and can go till suburb level while others span multiple suburbs. Instead of indexing documents to all suburbs, just index the document till city level and all suburbs missing suburb span the whole city (i.e. all suburbs in city)
...
"locations": [
"city" : "LA"
]
Including the document is search results is not much of a problem, problem now is to count those documents for all suburbs. So in essence if LA has 2 suburbs and the above is our only document, we end up with the following buckets for suburb aggregation.
"buckets" : [
"key" : "Beverly Hills",
"doc_count" : 1
,
"key" : "Hollywood",
"doc_count" : 1
]
elasticsearch elasticsearch-net
elasticsearch elasticsearch-net
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
asked Nov 12 '18 at 13:47
legen---wait for it---darylegen---wait for it---dary
4911818
4911818
add a comment |
add a comment |
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