Scala

Getting Started

Supported platforms

This API client only supports Scala 2.11.

Install

If you’re using Maven, add the following dependency to your pom.xml file:

<dependency>
    <groupId>com.algolia</groupId>
    <artifactId>algoliasearch-scala_2.11</artifactId>
    <version>[1,)</version>
</dependency>

For Snapshots add the Sonatype repository:

<repositories>
    <repository>
        <id>oss-sonatype</id>
        <name>oss-sonatype</name>
        <url>https://oss.sonatype.org/content/repositories/snapshots/</url>
        <snapshots>
            <enabled>true</enabled>
        </snapshots>
    </repository>
</repositories>

If you’re using SBT, add the following dependency to your build.sbt file:

libraryDependencies += "com.algolia" %% "algoliasearch-scala" % "[1,)"

For Snapshots add the Sonatype repository:

resolvers += "Sonatype OSS Snapshots" at "https://oss.sonatype.org/content/repositories/snapshots"

Quick Start

In 30 seconds, this quick start tutorial will show you how to index and search objects.

Initialize the client

You first need to initialize the client. For that you need your Application ID and API Key. You can find both of them on your Algolia account.

val client = new AlgoliaClient("YourApplicationID", "YourAPIKey")

The api key that is displayed here is your ADMIN API Key, never use it in your frontend nor give it to anyone.

In your frontend, you should use the SEARCH ONLY API Key or any other key that has search rights only

Push data

//For the DSL
import algolia.AlgoliaDsl._

//For basic Future support, you might want to change this by your own ExecutionContext
import scala.concurrent.ExecutionContext.Implicits.global

//case class of your objects
case class Contact(firstname: String,
                   lastname: String,
                   followers: Int,
                   compagny: String)

val indexing1: Future[Indexing] = client.execute {
    index into "contacts" `object` Contact("Jimmie", "Barninger", 93, "California Paint")
}

val indexing2: Future[Indexing] = client.execute {
    index into "contacts" `object` Contact("Warren", "Speach", 42, "Norwalk Crmc")
}

You can now search for contacts using firstname, lastname, company, etc. (even with typos):

// search by firstname
client.execute { search into "contacts" query Query(query = Some("jimmie")) }

// search a firstname with typo
client.execute { search into "contacts" query Query(query = Some("jimie")) }

// search for a company
client.execute { search into "contacts" query Query(query = Some("california paint")) }

// search for a firstname & company
client.execute { search into "contacts" query Query(query = Some("jimmie paint")) }

Configure

Settings can be customized to tune the search behavior. For example, you can add a custom sort by number of followers to the already great built-in relevance:

client.execute {
	changeSettings of "myIndex" `with` IndexSettings(
		customRanking = Some(Seq(CustomRanking.desc("followers")))
	)
}

You can also configure the list of attributes you want to index by order of importance (first = most important):

Since the engine is designed to suggest results as you type, you’ll generally search by prefix. In this case the order of attributes is very important to decide which hit is the best:

client.execute {
	changeSettings of "myIndex" `with` IndexSettings(
		searchableAttributes = Some(Seq("lastname", "firstname", "company"))
	)
}

If you are building a web application, you may be more interested in using our JavaScript client to perform queries.

It brings two benefits:

  • Your users get a better response time by not going through your servers
  • It will offload unnecessary tasks from your servers
<script src="https://cdn.jsdelivr.net/algoliasearch/3/algoliasearch.min.js"></script>
<script>
var client = algoliasearch('ApplicationID', 'apiKey');
var index = client.initIndex('indexName');

// perform query "jim"
index.search('jim', searchCallback);

// the last optional argument can be used to add search parameters
index.search(
  'jim', {
    hitsPerPage: 5,
    facets: '*',
    maxValuesPerFacet: 10
  },
  searchCallback
);

function searchCallback(err, content) {
  if (err) {
    console.error(err);
    return;
  }

  console.log(content);
}
</script>

Philosophy

DSL

The main goal of this client is to provide a human accessible and readable DSL for using Algolia search.

The entry point of the DSL is the algolia.AlgoliaDSL object. This DSL is used in the execute method of algolia.AlgoliaClient.

As we want to provide human readable DSL, there is more than one way to use this DSL. For example, to get an object by its objectID:

client.execute { from index "index" objectId "myId" }

//or

client.execute { get / "index" / "myId" }

Future

The execute method always return a scala.concurrent.Future. Depending of the operation it will be parametrized by a case class. For example:

var future: Future[Search] =
    client.execute {
        search into "index" query "a"
    }

JSON as case class

Putting or getting objects from the API is wrapped into case class automatically by json4s.

If you want to get objects just search for it and unwrap the result:

case class Contact(firstname: String,
                   lastname: String,
                   followers: Int,
                   compagny: String)

var future: Future[Seq[Contact]] =
    client
        .execute {
            search into "index" query "a"
        }
        .map { search =>
            search.as[Contact]
        }

If you want to get the full results (with _highlightResult, etc.):

case class EnhanceContact(firstname: String,
                          lastname: String,
                          followers: Int,
                          compagny: String,
                          objectID: String,
                          _highlightResult: Option[Map[String, HighlightResult]
                          _snippetResult: Option[Map[String, SnippetResult]],
                          _rankingInfo: Option[RankingInfo]) extends Hit

var future: Future[Seq[EnhanceContact]] =
    client
        .execute {
            search into "index" query "a"
        }
        .map { search =>
            search.asHit[EnhanceContact]
        }

For indexing documents, just pass an instance of your case class to the DSL:

client.execute {
    index into "contacts" `object` Contact("Jimmie", "Barninger", 93, "California Paint")
}

Getting Help

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