A Scala REST Client for Elasticsearch.
Escalar is a Scala project you can use to make requests over HTTP to your Elasticsearch cluster using Elasticsearch's REST API. This client supports a number of features of the Elasticsearch REST API. Create indices, index documents, create and restore from snapshots, manage your cluster health, and much more using Escalar.
We currently support v1.7 of the REST API, but we are currently porting our client to v5.x in the near future.
First add escalar as a dependency in your build.sbt
file. Currently escalar is cross-built against Scala 2.10 and 2.11:
libraryDependencies += "com.workday" %% "escalar" % "1.7.0"
Build a client like this:
import com.workday.esclient._
val esUrl = "http://localhost:9200"
val client = EsClient.createEsClient(esUrl)
And shutdown with:
client.shutdownClient()
Create an index, index a document, and retrieve that same document:
val indexName = "presidents" //index name
val typeName = "president" //type for documents
val id = "1" //document ID
val doc = "{\"first_name\":\"George\", \"last_name\":\"Washington\", \"home_state\":\"Virginia\"}" //actual document to index
client.createIndex(indexName) //creates index in ES
client.index(indexName, typeName, id, doc) //indexes doc to that index
val getDoc = client.get(indexName, id) //get the doc within an EsResponse object
Get more sophisticated by adding a few more presidents to our "presidents" index and query by home state:
val doc2 = "{'first_name':'Thomas', 'last_name':'Jefferson', 'home_state':'Virginia'}"
val doc3 = "{'first_name':'Abraham', 'last_name':'Lincoln', 'home_state':'Illinois'}"
val doc4 = "{'first_name':'Theodore', 'last_name':'Roosevelt', 'home_state':'New York'}"
val bulkActions = Seq(UpdateDocAction(indexName, typeName, "2", doc2),
UpdateDocAction(indexName, typeName, "3", doc3),
UpdateDocAction(indexName, typeName, "4", doc4))
client.bulkWithRetry(bulkActions) //bulk add documents
client.search(indexName, typeName, "{\"query\": {\"query_string\": {\"query\": \"New York\"}}}") //search the "presidents" index for documents with the text "Virginia"
Finally remove all the docs we just created and delete the index:
client.deleteDocsByQuery(indexName) //defaults to "match_all" query
client.deleteIndex(indexName)
This is an SBT-based project, so building and testing locally is done simply by using:
sbt clean coverage test
Generate the code coverage report with:
sbt coverageReport
This project aims for 100% test coverage, so any new code should be covered by test code.
To contribute, first read our contributing documentation. Create a separate branch for your patch and get a passing CI build before submitting a pull request.
The full documentation can be found on Sonatype.
We use the following dependencies:
FasterXML jackson for JSON parsing. We're planning changing this dependency to Circe in the future, but Jackson will remain as our primary JSON parser in the meantime.
Jest is our core Java HTTP REST client for ES.
Google Gson is used to serialize/deserialize Java objects to/from JSON.
Note that the commit history doesn't accurately reflect authorship, because much of the code was ported from an internal repository. Please view the Contributors List for a full list of everyone who's contributed to the project.
Copyright 2017 Workday, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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