I have Q&A project, and I want to implement Elasticsearch in a section called Feed.
This section is a sort of last activity feed.
This is the feed table:
id | question_id | user_id | action_type | date_added
---------------------------------------------------------------
26 | 29 | 32 | new_answer | 2017-04-22 18:34:56
36 | 38 | 35 | new_answer | 2017-04-24 19:42:40
5 | 52 | 25 | new_question | 2017-04-03 16:28:43
2 | 52 | 20 | new_answer | 2017-05-05 13:22:41
So, with Elasticsearch I wan't to get the data grouped by question_id and order by id DESC.
So I did this:
{
"size": 0,
"query": {
"match_all": {}
},
"aggs": {
"questions": {
"terms": {
"field": "question.id",
"order": {
"_term": "desc"
}
}
}
}
}
And I get this result:
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 41,
"max_score" : 0.0,
"hits" : [ ]
},
"aggregations" : {
"questions" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 10,
"buckets" : [ {
"key" : "64",
"doc_count" : 4
}, {
"key" : "63",
"doc_count" : 5
}, {
"key" : "62",
"doc_count" : 4
}, {
"key" : "61",
"doc_count" : 5
}, {
"key" : "60",
"doc_count" : 1
}, {
"key" : "59",
"doc_count" : 1
}, {
"key" : "58",
"doc_count" : 3
}, {
"key" : "57",
"doc_count" : 3
}, {
"key" : "56",
"doc_count" : 3
}, {
"key" : "55",
"doc_count" : 2
} ]
}
}
}
What can I do to get the questions
ordered by id
or date_added
?
Thanks
You can get your documents grouped into buckets by question_id
and sorted within each bucket by id
or date_added
using a top hits sub-aggregation.
Here's an example that builds on your aggregation and sorts the documents within each bucket by id
in descending order:
{
"size": 0,
"aggs": {
"questions": {
"terms": {
"field": "question_id",
"order": {
"_term": "desc"
}
},
"aggs": {
"question_docs": {
"top_hits": {
"size": 10,
"sort": [
{
"id": {
"order": "desc"
}
}
]
}
}
}
}
}
}
Assuming your mapping for date_added
specifies the date
field datatype, then you can also substitute date_added
for id
in the top_hits
aggregation. If you let Elasticsearch determine the mapping for you, it's possible that your dates are being stored as text
(for Elasticsearch 5.x) or string
(anything before 5.x). I indexed the sample data in your question using Elasticsearch 5.4 with dynamic mapping; it set the mapping for your dates as both text
(for full-text search, accessed using date_added
) and keyword
(for sorting and aggregations, accessed using date_added.keyword
).
You can use the get mapping API to see check the mappings for your index. For example, to see the mappings for index <index_name>
, use the following:
curl -XGET "http://localhost:9200/<index_name>/_mapping"
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