Search over Multiple Indices in Elasticsearch
Elasticsearch supports search over multiple indices, for example, index-2020-01
, index-2020-02
…
(Optional, string) Comma-separated list of data streams, indices, and index aliases to search. Wildcard (*) expressions are supported.
Launching Elasticsearch
An Elasticsearch cluster can be launched on your local PC using the Docker image.
Please use the example docker-compose.yml
below.
version: '3'
services:
elasticsearch:
image: elasticsearch:7.10.1
container_name: elasticsearch
environment:
- discovery.type=single-node
- bootstrap.memory_lock=true
ports:
- 9200:9200
Launch the Elasticsearch cluster with the following command.
docker-compose up -d
Preparing Data
Index the data in users-2020-11
and users-2020-12
with the following command.
curl -X POST -H 'Content-Type: application/json' -d '{"name": "hoge"}' localhost:9200/users-2020-11/_doc/
curl -X POST -H 'Content-Type: application/json' -d '{"name": "fuga"}' localhost:9200/users-2020-12/_doc/
Testing
Searching by Wildcard
Search with the following command.
You can see the data returned from users-2020-11
and users-2020-12
indices.
$ curl localhost:9200/users-2020-*/_search | jq .hits.hits
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 380 100 380 0 0 95000 0 --:--:-- --:--:-- --:--:-- 95000
[
{
"_index": "users-2020-11",
"_type": "_doc",
"_id": "PNQ3tXYBKT-fwQ71grcz",
"_score": 1,
"_source": {
"name": "hoge"
}
},
{
"_index": "users-2020-12",
"_type": "_doc",
"_id": "PdQ3tXYBKT-fwQ71p7cy",
"_score": 1,
"_source": {
"name": "fuga"
}
}
]
Searching by CSV
Search with the following command.
You can see the data returned from users-2020-11
and users-2020-12
indices.
$ curl localhost:9200/users-2020-11,users-2020-12/_search | jq .hits.hits
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 380 100 380 0 0 63333 0 --:--:-- --:--:-- --:--:-- 63333
[
{
"_index": "users-2020-11",
"_type": "_doc",
"_id": "PNQ3tXYBKT-fwQ71grcz",
"_score": 1,
"_source": {
"name": "hoge"
}
},
{
"_index": "users-2020-12",
"_type": "_doc",
"_id": "PdQ3tXYBKT-fwQ71p7cy",
"_score": 1,
"_source": {
"name": "fuga"
}
}
]
Conclusion
Splitting multiple indices may get your clusters easy to operate.
I hope you will find this post useful.