Meilisearch | Meilisearch Cloud | Documentation | Discord | Roadmap | Website | FAQ
⚡ The Meilisearch API client written for Java ☕️
Meilisearch Java is the Meilisearch API client for Java developers.
Meilisearch is an open-source search engine. Learn more about Meilisearch.
- 📖 Documentation
- ⚡ Supercharge your Meilisearch experience
- 🔧 Installation
- 🚀 Getting started
- 🛠 Customization
- 🤖 Compatibility with Meilisearch
- 💡 Learn more
- ⚙️ Contributing
This readme contains all the documentation you need to start using this Meilisearch SDK.
For general information on how to use Meilisearch—such as our API reference, tutorials, guides, and in-depth articles—refer to our main documentation website.
Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.
meilisearch-java
is available from JCentral official repository. To be able to import this package, declare it as a dependency in your project:
Add the following code to the <dependencies>
section of your project:
<dependency>
<groupId>com.meilisearch.sdk</groupId>
<artifactId>meilisearch-java</artifactId>
<version>0.11.1</version>
<type>pom</type>
</dependency>
Add the following line to the dependencies
section of your build.gradle
:
implementation 'com.meilisearch.sdk:meilisearch-java:0.11.1'
meilisearch-java
also requires okhttp
as a peer dependency.
There are many easy ways to download and run a Meilisearch instance.
For example, using the curl
command in your Terminal:
# Install Meilisearch
curl -L https://install.meilisearch.com | sh
# Launch Meilisearch
./meilisearch --master-key=masterKey
NB: you can also download Meilisearch from Homebrew or APT or even run it using Docker.
package com.meilisearch.sdk;
import org.json.JSONArray;
import org.json.JSONObject;
import java.util.ArrayList;
class TestMeilisearch {
public static void main(String[] args) throws Exception {
JSONArray array = new JSONArray();
ArrayList items = new ArrayList() {{
add(new JSONObject().put("id", "1").put("title", "Carol").put("genres",new JSONArray("[\"Romance\",\"Drama\"]")));
add(new JSONObject().put("id", "2").put("title", "Wonder Woman").put("genres",new JSONArray("[\"Action\",\"Adventure\"]")));
add(new JSONObject().put("id", "3").put("title", "Life of Pi").put("genres",new JSONArray("[\"Adventure\",\"Drama\"]")));
add(new JSONObject().put("id", "4").put("title", "Mad Max: Fury Road").put("genres",new JSONArray("[\"Adventure\",\"Science Fiction\"]")));
add(new JSONObject().put("id", "5").put("title", "Moana").put("genres",new JSONArray("[\"Fantasy\",\"Action\"]")));
add(new JSONObject().put("id", "6").put("title", "Philadelphia").put("genres",new JSONArray("[\"Drama\"]")));
}};
array.put(items);
String documents = array.getJSONArray(0).toString();
Client client = new Client(new Config("http://localhost:7700", "masterKey"));
// An index is where the documents are stored.
Index index = client.index("movies");
// If the index 'movies' does not exist, Meilisearch creates it when you first add the documents.
index.addDocuments(documents); // => { "taskUid": 0 }
}
}
With the taskUid
, you can check the status (enqueued
, canceled
, processing
, succeeded
or failed
) of your documents addition using the task endpoint.
A basic search can be performed by calling index.search()
method, with a simple string query.
import com.meilisearch.sdk.model.SearchResult;
// Meilisearch is typo-tolerant:
SearchResult results = index.search("carlo");
System.out.println(results);
- Output:
SearchResult(hits=[{id=1.0, title=Carol, genres:[Romance, Drama]}], offset=0, limit=20, estimatedTotalHits=1, facetDistribution=null, processingTimeMs=3, query=carlo)
If you want a custom search, the easiest way is to create a SearchRequest
object, and set the parameters that you need.
All the supported options are described in the search parameters section of the documentation.
import com.meilisearch.sdk.SearchRequest;
// ...
SearchResult results = index.search(
new SearchRequest("of")
.setShowMatchesPosition(true)
.setAttributesToHighlight(new String[]{"title"})
);
System.out.println(results.getHits());
- Output:
[{
"id":3,
"title":"Life of Pi",
"genres":["Adventure","Drama"],
"_formatted":{
"id":3,
"title":"Life <em>of</em> Pi",
"genres":["Adventure","Drama"]
},
"_matchesPosition":{
"title":[{
"start":5.0,
"length":2.0
}]
}
}]
If you want to enable filtering, you must add your attributes to the filterableAttributes
index setting.
index.updateFilterableAttributesSettings(new String[]
{
"id",
"genres"
});
You only need to perform this operation once.
Note that Meilisearch will rebuild your index whenever you update filterableAttributes
. Depending on the size of your dataset, this might take time. You can track the process using the task status.
Then, you can perform the search:
index.search(
new SearchRequest("wonder")
.setFilter(new String[] {"id > 1 AND genres = Action"})
);
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action","Adventure"]
}
],
"offset": 0,
"limit": 20,
"estimatedTotalHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}
The default JSON library is Gson
. You can however use another library with the JsonHandler
Class.
Notes: We strongly recommend using the Gson
library.
Initialize your Config
and assign it a new JacksonJsonHandler
object as JsonHandler
.
Set up your Client
with it.
import com.meilisearch.sdk.json.JacksonJsonHandler;
Config config = new Config("http://localhost:7700", "masterKey", new JacksonJsonHandler());
Client client = new Client(config);
To create your own JSON handler, you must conform to the JsonHandler
interface by implementing its two methods.
String encode(Object o) throws Exception;
<T> T decode(Object o, Class<?> targetClass, Class<?>... parameters) throws Exception;
Then create your client by initializing your Config
with your new handler.
Config config = new Config("http://localhost:7700", "masterKey", new myJsonHandler());
Client client = new Client(config);
This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.
The following sections in our main documentation website may interest you:
- Manipulate documents: see the API references or read more about documents.
- Search: see the API references or follow our guide on search parameters.
- Manage the indexes: see the API references or read more about indexes.
- Configure the index settings: see the API references or follow our guide on settings parameters.
Any new contribution is more than welcome in this project!
If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!
Meilisearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.