laravel5.1+ElasticSearch+go-mysql-elasticsearch MySQL数据实时导入(mac)

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1. ElasticSearch安装

直接使用brew install elasticsearch 安装最新版本的es，基本没有障碍。 

2.laravel5.1框架添加elasticsearch支持

在composer.json文件中添加elasticsearch-php依赖:

{
    "require": {
        "elasticsearch/elasticsearch": "~5.0"
    }
}

执行composer命令更新es代码加载到当前laravel框架中

composer update

laravel控制器中使用es

use Elasticsearch\ClientBuilder;//引入
$client = ClientBuilder::create()->build();//初始化
$params = [
    'index' => 'my_index',
    'type' => 'my_type',
    'id' => 'my_id',
    'body' => ['testField' => 'abc']
];

$response = $client->index($params);//添加索引
print_r($response);

$params = [
    'index' => 'my_index',
    'type' => 'my_type',
    'id' => 'my_id'
];

$response = $client->get($params);//获取my_id对应的数据
print_r($response);
……

实例：

client = ClientBuilder::create()->build();
    }
    /**
     * Display a listing of the resource.
     *
     * @return \Illuminate\Http\Response
     */
    public function index()
    {
        for ($i=0;$i 'my_index',
                'type' => 'my_type',
                'id' => 'my_id' . $i,
                'body' => ['testField' => $i . '、Kitty,今天气很好!!!']
            ];
            $response = $this->client->index($params);
        }

        dd($response);
    }

    /**
     * Display the specified resource.
     *
     * @param  string  $str
     * @return \Illuminate\Http\Response
     */
    public function show($str='abc')
    {
//        $params = [
//            'index' => 'my_index',
//            'type' => 'my_type',
//            'id' => $id
//        ];
        $params = [
            'index' => 'my_index',
            'type' => 'my_type',
            //"scroll" => "3s",
            "from" => 0,
            "size" => 100,
            'body' => [
                'query' => [
                    'match' => [
                        'testField' => $str,
                    ]
                ]
            ]
        ];

        $response = $this->client->search($params);
        dd($response);
    }

}

3. 实时导入插件go-mysql-elasticsearch

安装go环境，设置环境变量

    brew install go
    vi ~/.bash_profile 添加以下PATH和GOPATH，并在命令行中执行这两条命令
    export PATH=$PATH:/usr/local/Cellar/go/1.7.4_2/bin/
    export GOPATH=/Users/User/go

获取go-mysql-elasticsearch

go get github.com/siddontang/go-mysql-elasticsearch

编译go-mysql-elasticsearch

cd $GOPATH/src/github.com/siddontang/go-mysql-elasticsearch 
make  

配置elasticsearch的etc目录下的river.toml

# MySQL address, user and password
# user must have replication privilege in MySQL.
my_addr = "192.168.0.1:3306"#mysql地址
my_user = "test"#用户名
my_pass = "test123"#密码

# Elasticsearch address
es_addr = "127.0.0.1:9200"#es安装地址

# Path to store data, like master.info, and dump MySQL data
data_dir = "./var"

# Inner Http status address
stat_addr = "127.0.0.1:12800"

# pseudo server id like a slave
server_id = 1001

# mysql or mariadb
flavor = "mysql"#mysql数据库

# mysqldump execution path
# if not set or empty, ignore mysqldump.
mysqldump = "mysqldump"

# MySQL data source
[[source]]
schema = "dev_cms"#数据库名称

# Only below tables will be synced into Elasticsearch.
# "test_river_[0-9]{4}" is a wildcard table format, you can use it if you have many sub tables, like table_0000 - table_1023
# I don't think it is necessary to sync all tables in a database.
tables = ["test_content"]#数据表名称，可以多个

# Below is for special rule mapping
#[[rule]]
#schema = "test"
#table = "test_river"
#index = "river"
#type = "river"
# only MySQL field in filter will be synced
#filter=["title","tags"]
    # title is MySQL test_river field name, es_title is the customized name in Elasticsearch
    #[rule.field]
    # This will map column title to elastic search my_title
    #title="es_title"
    # This will map column tags to elastic search my_tags and use array type
    #tags="my_tags,list"
    # This will map column keywords to elastic search keywords and use array type
    #keywords=",list"

# wildcard table rule, the wildcard table must be in source tables
[[rule]]
schema = "dev_cms"#数据库名称
table = "test_content"#数据表名称
index = "es_dev_cms"#生成es数据索引名称，对应schema
type = "es_test_content"#生成es数据类型，对应table

    # title is MySQL test_river field name, es_title is the customized name in Elasticsearch
    [[rule.fields]]
    mysql = "title"
    elastic = "es_title"

执行命令，导入数据

cd $GOPATH/src/github.com/siddontang/go-mysql-elasticsearch 
./bin/go-mysql-elasticsearch -config=./etc/river.toml &

可以在谷歌浏览器安装sense插件查看es数据

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