A ElasticSearch client for Julia
This package is registered in the General registry，so you can install it by package name or GitHub address.
julia> ]
pkg> add ElasticSearch # add https://github.com/lotcher/ElasticSearch.jl.gitBefore using all methods, you need to create an ES instance, like this
using ElasticSearch
es = ES() # ES("http://:@localhost:9200")
# You can use this method: ES(; host, port, user, password, protocol) to construct the client you need
# Or directly pass in the complete URL like ES("https://elastic:elastic@localhost:9300")You can use the search method to pass in JSON, Dict or built-in Query objects
search(es, 'index', "{}") # be equal to GET /index/_search body="{}"
# You can also pass in other methods
# search(es, 'index', Dict())
# search(es, 'index', Query([]))However, when you use complex query statements, it is recommended to use Query, as shown below
search(es=es, index="news") do
[
FromBlock(0),
SizeBlock(10),
[
RangeBody("correlation", Dict("gte"=>0.5)),
RangeBody("emotion", Dict("gte"=>0.5)),
MultiMatchBody(["contents","title"], "test")
] |> MustQueryBlock,
HighlightBlock(["contents","title"]),
SourceBlock(["img_urls","id","time","title","url"])
] |> Query
endIt is equivalent to constructing the following query statements.
GET news/_Search
{
"size": 10,
"from": 0,
"query": {
"bool": {
"must": [
{
"range": {
"correlation": {
"gte": 0.5
}
}
},
{
"range": {
"emotion": {
"gte": 0.5
}
}
},
{
"multi_match": {
"fields": [
"contents",
"title"
],
"query": "test"
}
}
]
}
},
"highlight": {
"fields": {
"contents": {},
"title": {}
}
},
"_source": [
"img_urls",
"id",
"time",
"title",
"url"
]
}Similarly, you can also construct any ES DSL statements with built-in objects