资讯专栏INFORMATION COLUMN

laravel5.1+ElasticSearch+go-mysql-elasticsearch My

LdhAndroid / 311人阅读

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 ElasticsearchClientBuilder;//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 IlluminateHttpResponse
     */
    public function index()
    {
        for ($i=0;$i<5000;$i++) {
            $params = [
                "index" => "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  $str
     * @return IlluminateHttpResponse
     */
    public function show($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

文章版权归作者所有,未经允许请勿转载,若此文章存在违规行为,您可以联系管理员删除。

转载请注明本文地址:https://www.ucloud.cn/yun/22380.html

相关文章

  • mysql到elasticsearch数据迁移踩坑实践-Ali0th

    摘要:配置文件其中有两个关键的配置和。启动如上即为正常运行。因为我在启动后一直报错,,各种尝试最后报错依然存在,只好换用部署了。安装部署安装和插件获取驱动下载配置配置使用时自行把下面注释去掉。Author : Ali0th Date : 20190514 最近用go语言写了个爬虫,爬了几百万条数据,存在 mysql 里,数据量较大,一个表就一两G的程度(mysql表一般不要超过2G)。 sho...

    littlelightss 评论0 收藏0

发表评论

0条评论

最新活动
阅读需要支付1元查看
<