hakdogan/elasticsearch

•Updated over 6 years ago

📎 This application illustrates and demonstrates use of ElasticSearch Java API in the backend

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hakdogan/elasticsearch repository overview

⁠ Illustration and demonstration use of ElasticSearch

This repository illustrates and demonstrates the use of ElasticSearch Java API via Transport Client and Java High Level REST Client. If you want to see the sample of the old version, please visit the oldVersion⁠ branch.

⁠What you will learn in this repository?

How to use Transport Client
- How to perform Administration operations
- Index creation
- Mapping settings
How to use Java High Level REST Client
- How to perform CRUD operations

⁠Initialization Transport Client

    @Bean(destroyMethod = "close")
    public TransportClient getTransportClient() throws UnknownHostException {
        try (TransportClient client = new PreBuiltTransportClient(Settings.EMPTY)
                .addTransportAddress(new TransportAddress(InetAddress.getByName(props.getClients().getHostname()),
                        props.getClients().getTransportPort()))){
            return client;
        }
    }

⁠Initialization Java High Level REST Client

    @Bean(destroyMethod = "close")
    public RestHighLevelClient getRestClient() {
        return new RestHighLevelClient(RestClient.builder(new HttpHost(props.getClients().getHostname(),
                props.getClients().getHttpPort(), props.getClients().getScheme())));
    }

⁠Index creation with Transport Client

IndicesExistsRequest request = new IndicesExistsRequest(props.getIndex().getName());
IndicesExistsResponse indicesExistsResponse = indicesAdminClient.exists(request).actionGet();

⁠Shard and Replica Settings

indicesAdminClient.prepareCreate(props.getIndex().getName())
    .setSettings(Settings.builder()
        .put("index.number_of_shards", props.getIndex().getShard())
        .put("index.number_of_replicas", props.getIndex().getReplica()))
    .get();

⁠Mapping Settings

    XContentBuilder builder = jsonBuilder()
        .startObject()
            .startObject(props.getIndex().getType())
                .startObject("properties")
                    .startObject("id")
                        .field("type", "text")
                    .endObject()
                    .startObject("firstname")
                        .field("type", "text")
                    .endObject()
                    .startObject("lastname")
                        .field("type", "text")
                    .endObject()
                    .startObject("message")
                        .field("type", "text")
                    .endObject()
                .endObject()
            .endObject()
        .endObject();
        
    indicesAdminClient.preparePutMapping(props.getIndex().getName())
        .setType(props.getIndex().getType())
        .setSource(builder.string(), XContentType.JSON).get();

⁠Index creation with Java High Level REST Client

IndexRequest request = new IndexRequest(props.getIndex().getName(), props.getIndex().getType());
request.source(gson.toJson(document), XContentType.JSON);
IndexResponse response = client.index(request);

⁠Using SearchSourceBuilder and showing search results

sourceBuilder.query(builder);
SearchRequest searchRequest = getSearchRequest();

SearchResponse searchResponse = client.search(searchRequest);
SearchHits hits = searchResponse.getHits();
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
    Document doc = gson.fromJson(hit.getSourceAsString(), Document.class);
    doc.setId(hit.getId());
    result.add(doc);
}

⁠Using Query String with Wildcard

result = getDocuments(QueryBuilders.queryStringQuery("*" + query.toLowerCase() + "*"));

⁠Document deletion

DeleteRequest deleteRequest = new DeleteRequest(props.getIndex().getName(), props.getIndex().getType(), id);

⁠How to compile?

mvn clean install

Testcontainers library needs Docker daemon, if you don't have it you should use -Dmaven.test.skip=true parameter.

⁠How to run?

mvn spring-boot:run

With this option, you should provide an elasticsearch server.

⁠How to run with Docker?

sh run.sh

With this option, this application and an elasticsearch server run together.

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122.7 MB

Last updated

over 6 years ago

docker pull hakdogan/elasticsearch:newVersion