A Go (Golang) based Elasticsearch client, implements core api for Indexing and searching. GoDoc http://godoc.org/github.com/mattbaird/elastigo
To get the Chef based Vagrantfile working, be sure to pull like so::
# This will pull submodules.
git clone --recursive [email protected]:mattbaird/elastigo.git
It's easier to use the ElasticSearch provided Docker image found here: https://github.com/dockerfile/elasticsearch
Non-persistent usage is:
docker run -d -p 9200:9200 -p 9300:9300 dockerfile/elasticsearch
- 2014-5-21 Note: Drone.io tests are failing, I don't know why because the build and tests are working fine for me on my ubuntu box running the docker elasticsearch image. It's possible there is a timing issue. Any Ideas?
- 2013-9-27 Fleshing out cluster and indices APIs, updated vagrant image to 0.90.3
- 2013-7-10 Improvements/changes to bulk indexer (includes breaking changes to support TTL),
Search dsl supports And/Or/Not
- SearchDsl should still be considered beta at this point, there will be minor breaking changes as more of the elasticsearch feature set is implemented.
- 2013-1-26 expansion of search dsl for greater coverage
- 2012-12-30 new bulk indexing and search dsl
- 2012-10-12 early in development, not ready for production yet.
examples:
import "github.com/mattbaird/elastigo/api"
import "github.com/mattbaird/elastigo/core"
type Tweet struct {
User string `json:"user"`
Message string `json:"message"`
}
// Set the Elasticsearch Host to Connect to
api.Domain = "localhost"
// api.Port = "9300"
// add single go struct entity
response, _ := core.Index("twitter", "tweet", "1", nil, Tweet{"kimchy", "Search is cool"})
// you have bytes
tw := Tweet{"kimchy", "Search is cool part 2"}
bytesLine, err := json.Marshall(tw)
response, _ := core.Index("twitter", "tweet", "2", nil, bytesLine)
// Bulk Indexing
core.IndexBulk("twitter", "tweet", "3", &time.Now(), Tweet{"kimchy", "Search is now cooler"})
// Search Using Raw json String
searchJson := `{
"query" : {
"term" : { "user" : "kimchy" }
}
}`
out, err := core.SearchRequest(true, "twitter", "tweet", searchJson, "")
if len(out.Hits.Hits) == 1 {
fmt.Println(string(out.Hits.Hits[0].Source))
}
A Faceted, ranged Search using the Search DSL
:
import "github.com/mattbaird/elastigo/api"
import "github.com/mattbaird/elastigo/core"
// Set the Elasticsearch Host to Connect to
api.Domain = "localhost"
// api.Port = "9300"
out, err := Search("github").Size("1").Facet(
Facet().Fields("actor").Size("500"),
).Query(
Query().Range(
Range().Field("created_at").From("2012-12-10T15:00:00-08:00").To("2012-12-10T15:10:00-08:00"),
).Search("add"),
).Result()
A Ranged Search using the Search DSL
:
out, err := Search("github").Type("Issues").Pretty().Query(
Query().Range(
Range().Field("created_at").From("2012-12-10T15:00:00-08:00").To("2012-12-10T15:10:00-08:00"),
).Search("add"),
).Result()
A Simple Search using the Search DSL
:
out, err := Search("github").Type("Issues").Size("100").Search("add").Result()
A Direct Search using the api :
qry := map[string]interface{}{
"query":map[string]interface{}{
"term":map[string]string{"user:"kimchy"},
},
}
core.SearchRequest(true, "github", "Issues", qry, "", 0)
A Direct Search using the query string Api :
core.SearchUri("github", "Issues", "user:kimchy", "", 0)
A Filtered search Search DSL
:
out, err := Search("github").Filter(
Filter().Exists("repository.name"),
).Result()
example:
import "github.com/mattbaird/elastigo/api"
import "github.com/mattbaird/elastigo/core"
// Set the Elasticsearch Host to Connect to
api.Domain = "localhost"
// api.Port = "9300"
indexer := core.NewBulkIndexerErrors(10, 60)
done := make(chan bool)
indexer.Run(done)
go func() {
for errBuf := range indexer.ErrorChannel {
// just blissfully print errors forever
fmt.Println(errBuf.Err)
}
}()
for i := 0; i < 20; i++ {
indexer.Index("twitter", "user", strconv.Itoa(i), "", nil, `{"name":"bob"}`)
}
done <- true
Copyright 2012 Matthew Baird, Aaron Raddon, and more!
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.