elasticsearch 6.x (一) 部署 windows入门 spingboot连接

大家好，我是烤鸭：

今天分享的是 elasticsearch 6.x 部署 windows服务器。

环境：

win10

elasticsearch-6.2.4

springboot 2.0.0.RELEASE

1. 官网下载elasticsearch

这个是最新版本的es下载地址。

https://www.elastic.co/downloads/elasticsearch

选择zip包下载，网速较慢，请耐心等待。

2. 修改配置文件

刚开始入门，我们尽可能少改东西，就改个集群名称和节点名称。后期再解释各个参数什么意思。

# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: mytest-master
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: mytest-node1
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
#path.data: /path/to/data
#
# Path to log files:
#
#path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
#network.host: 192.168.0.1
#
# Set a custom port for HTTP:
#
#http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.zen.ping.unicast.hosts: ["host1", "host2"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
#discovery.zen.minimum_master_nodes: 
#
# For more information, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true

3. 启动

进入es根目录下bin, 点击elasticsearch.bat启动。

成功如图：

可以看到。

127.0.0.1:9200 是es发布服务的地址和端口。

浏览器访问如图：

127.0.0.1:9300 是es客户端连接的地址和端口。

4. 客户端连接(java)

4.1 pom文件

<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId><version>2.0.0.RELEASE</version></dependency><dependency><groupId>org.elasticsearch.client</groupId><artifactId>x-pack-transport</artifactId><version>${elasticsearch.version}</version></dependency><dependency><groupId>junit</groupId><artifactId>junit</artifactId><version>${junit.version}</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.47</version></dependency></dependencies><repositories><!-- add the elasticsearch repo --><repository><id>elasticsearch-releases</id><url>https://artifacts.elastic.co/maven</url><releases><enabled>true</enabled></releases><snapshots><enabled>false</enabled></snapshots></repository></repositories>

x-pack-transport这个包是可以创建带有x-pack的连接，因为后边要演示加上x-pack，就用这个包了。

目前的话用下面这个包也可以，但是不支持x-pack连接。

<dependency><groupId>org.elasticsearch.client</groupId><artifactId>transport</artifactId><version>6.2.4</version>
</dependency>

4.2 创建连接

@Testpublic void testInfo() {Settings settings = Settings.builder().put("cluster.name","mytest-master").put("thread_pool.search.size", 20)// 增加线程池个数，暂时设为5.build();try {client = new PreBuiltTransportClient(settings).addTransportAddress(new TransportAddress(InetAddress.getByName("127.0.0.1"), 9300));} catch (UnknownHostException e) {e.printStackTrace();}System.out.println(client);//查看节点List<DiscoveryNode> nodes = client.connectedNodes();for (DiscoveryNode node : nodes) {System.out.println(node.getHostAddress());}}

成功如图：