Elastic

Elastic is an Elasticsearch client for the Go programming language.

See the wiki for additional information about Elastic.

Releases

Current version

This is the source code of the current version of Elastic (version 2).

Earlier versions

If you came from an earlier version and found that you cannot update, don't worry. Earlier versions are still available. All you need to do is go-get them and change your import path. See below for details. Here's what you need to do to use Elastic version 1:

$ go get gopkg.in/olivere/elastic.v1

Then change your import path:

import "gopkg.in/olivere/elastic.v1"

Status

We use Elastic in production since 2012. Although Elastic is quite stable from our experience, we don't have a stable API yet. The reason for this is that Elasticsearch changes quite often and at a fast pace. At this moment we focus on features, not on a stable API.

Having said that, there have been no big API changes that required you to rewrite your application big time. More often than not it's renaming APIs and adding/removing features so that we are in sync with the Elasticsearch API.

Elastic supports and has been tested in production with the following Elasticsearch versions: 0.90, 1.0, 1.1, 1.2, 1.3, and 1.4.

Elasticsearch has quite a few features. A lot of them are not yet implemented in Elastic (see below for details). I add features and APIs as required. It's straightforward to implement missing pieces. I'm accepting pull requests :-)

Having said that, I hope you find the project useful.

Usage

The first thing you do is to create a Client. The client connects to Elasticsearch on http://127.0.0.1:9200 by default.

You typically create one client for your app. Here's a complete example.

// Create a client
client, err := elastic.NewClient()
if err != nil {
    // Handle error
}

// Create an index
_, err = client.CreateIndex("twitter").Do()
if err != nil {
    // Handle error
    panic(err)
}

// Add a document to the index
tweet := Tweet{User: "olivere", Message: "Take Five"}
_, err = client.Index().
    Index("twitter").
    Type("tweet").
    Id("1").
    BodyJson(tweet).
    Do()
if err != nil {
    // Handle error
    panic(err)
}

// Search with a term query
termQuery := elastic.NewTermQuery("user", "olivere")
searchResult, err := client.Search().
    Index("twitter").   // search in index "twitter"
    Query(&termQuery).  // specify the query
    Sort("user", true). // sort by "user" field, ascending
    From(0).Size(10).   // take documents 0-9
    Debug(true).        // print request and response to stdout
    Pretty(true).       // pretty print request and response JSON
    Do()                // execute
if err != nil {
    // Handle error
    panic(err)
}

// searchResult is of type SearchResult and returns hits, suggestions,
// and all kinds of other information from Elasticsearch.
fmt.Printf("Query took %d milliseconds\n", searchResult.TookInMillis)

// Number of hits
if searchResult.Hits != nil {
    fmt.Printf("Found a total of %d tweets\n", searchResult.Hits.TotalHits)

    // Iterate through results
    for _, hit := range searchResult.Hits.Hits {
        // hit.Index contains the name of the index

        // Deserialize hit.Source into a Tweet (could also be just a map[string]interface{}).
        var t Tweet
        err := json.Unmarshal(*hit.Source, &t)
        if err != nil {
            // Deserialization failed
        }

        // Work with tweet
        fmt.Printf("Tweet by %s: %s\n", t.User, t.Message)
    }
} else {
    // No hits
    fmt.Print("Found no tweets\n")
}

// Delete the index again
_, err = client.DeleteIndex("twitter").Do()
if err != nil {
    // Handle error
    panic(err)
}

See the wiki for more details.

API Status

Here's the current API status.

APIs

• Search (most queries, filters, facets, aggregations etc. are implemented: see below)
• Index
• Get
• Delete
• Delete By Query
• Update
• Multi Get
• Bulk
• Bulk UDP
• Term vectors
• Multi term vectors
• Count
• Validate
• Explain
• Search
• Search shards
• Search template
• Facets (most are implemented, see below)
• Aggregates (most are implemented, see below)
• Multi Search
• Percolate
• More like this
• Benchmark

Indices

• Create index
• Delete index
• Get index
• Indices exists
• Open/close index
• Put mapping
• Get mapping
• Get field mapping
• Types exist
• Delete mapping
• Index aliases
• Update indices settings
• Get settings
• Analyze
• Index templates
• Warmers
• Status
• Indices stats
• Indices segments
• Indices recovery
• Clear cache
• Flush
• Refresh
• Optimize
• Upgrade

Snapshot and Restore

• Snapshot
• Restore
• Snapshot status
• Monitoring snapshot/restore progress
• Partial restore

Cat APIs

Not implemented. Those are better suited for operating with Elasticsearch on the command line.

Cluster

• Health
• State
• Stats
• Pending cluster tasks
• Cluster reroute
• Cluster update settings
• Nodes stats
• Nodes info
• Nodes hot_threads
• Nodes shutdown

Query DSL

Queries

• match
• multi_match
• bool
• boosting
• common_terms
• constant_score
• dis_max
• filtered
• fuzzy_like_this_query (flt)
• fuzzy_like_this_field_query (flt_field)
• function_score
• fuzzy
• geo_shape
• has_child
• has_parent
• ids
• indices
• match_all
• mlt
• mlt_field
• nested
• prefix
• query_string
• simple_query_string
• range
• regexp
• span_first
• span_multi_term
• span_near
• span_not
• span_or
• span_term
• term
• terms
• top_children
• wildcard
• minimum_should_match
• multi_term_query_rewrite
• template_query

Filters

• and
• bool
• exists
• geo_bounding_box
• geo_distance
• geo_distance_range
• geo_polygon
• geoshape
• geohash
• has_child
• has_parent
• ids
• indices
• limit
• match_all
• missing
• nested
• not
• or
• prefix
• query
• range
• regexp
• script
• term
• terms
• type

Facets

• Terms
• Range
• Histogram
• Date Histogram
• Filter
• Query
• Statistical
• Terms Stats
• Geo Distance

Aggregations

• min
• max
• sum
• avg
• stats
• extended stats
• value count
• percentiles
• percentile ranks
• cardinality
• geo bounds
• top hits
• scripted metric
• global
• filter
• filters
• missing
• nested
• reverse nested
• children
• terms
• significant terms
• range
• date range
• ipv4 range
• histogram
• date histogram
• geo distance
• geohash grid

Sorting

• Sort by score
• Sort by field
• Sort by geo distance
• Sort by script

Scan

Scrolling through documents (e.g. search_type=scan) are implemented via the Scroll and Scan services. The ClearScroll API is implemented as well.

How to contribute

Read the contribution guidelines.

Credits

Thanks a lot for the great folks working hard on Elasticsearch and Go.

LICENSE

MIT-LICENSE. See LICENSE or the LICENSE file provided in the repository for details.