🔰快速入门指南

安装并启动 Manticore

你可以在各种操作系统上轻松安装并启动 Manticore，包括 Ubuntu、Centos、Debian、Windows 和 MacOS。此外，你也可以将 Manticore 作为 Docker 容器使用。

Ubuntu

wget https://repo.manticoresearch.com/manticore-repo.noarch.deb
sudo dpkg -i manticore-repo.noarch.deb
sudo apt update
sudo apt install manticore manticore-columnar-lib
sudo systemctl start manticore

Debian

wget https://repo.manticoresearch.com/manticore-repo.noarch.deb
sudo dpkg -i manticore-repo.noarch.deb
sudo apt update
sudo apt install manticore manticore-columnar-lib
sudo systemctl start manticore

Centos

sudo yum install https://repo.manticoresearch.com/manticore-repo.noarch.rpm
sudo yum install manticore manticore-columnar-lib
sudo systemctl start manticore

Windows

从 https://manticoresearch.com/install/ 下载 Windows 压缩包。
将压缩包中的所有文件解压到 C:\Manticore。
运行以下命令将 Manticore 安装为服务：

C:\Manticore\bin\searchd --install --config C:\Manticore\sphinx.conf.in --servicename Manticore

从 Microsoft 管理控制台的服务管理工具中启动 Manticore。

MacOS

brew install manticoresearch
brew services start manticoresearch

Docker

docker pull manticoresearch/manticore
docker run -e EXTRA=1 --name manticore -p9306:9306 -p9308:9308 -p9312:9312 -d manticoresearch/manticore

要持久化您的数据目录，请阅读如何在生产环境中使用 Manticore Docker。

连接到 Manticore

默认情况下，Manticore 等待您的连接在以下端口：

MySQL 客户端使用 9306 端口
HTTP/HTTPS 连接使用 9308 端口
其他 Manticore 节点和基于 Manticore 二进制 API 的客户端使用 9312 端口

有关 HTTPS 支持的更多详细信息，请参见我们的学习课程此处。

通过MySQL连接:

mysql -h0 -P9306

通过HTTP使用JSON进行连接

HTTP 是无状态协议，因此不需要任何特殊的连接阶段。您可以直接向服务器发送 HTTP 请求并接收响应。要使用 JSON 接口与 Manticore 通信，您可以使用任何编程语言中的 HTTP 客户端库，向服务器发送 GET 或 POST 请求，并解析 JSON 响应：

curl -s "http://localhost:9308/search"

通过 PHP客户端连接：

// https://github.com/manticoresoftware/manticoresearch-php
require_once __DIR__ . '/vendor/autoload.php';
$config = ['host'=>'127.0.0.1','port'=>9308];
$client = new \Manticoresearch\Client($config);

通过Python 客户端连接：

// https://github.com/manticoresoftware/manticoresearch-python
import manticoresearch
config = manticoresearch.Configuration(
    host = "http://127.0.0.1:9308"
)
client = manticoresearch.ApiClient(config)
indexApi = manticoresearch.IndexApi(client)
searchApi = manticoresearch.SearchApi(client)
utilsApi = manticoresearch.UtilsApi(client)

通过Javascript 客户端连接：

// https://github.com/manticoresoftware/manticoresearch-javascript
var Manticoresearch = require('manticoresearch');
var client= new Manticoresearch.ApiClient()
client.basePath="http://127.0.0.1:9308";
indexApi = new Manticoresearch.IndexApi(client);
searchApi = new Manticoresearch.SearchApi(client);
utilsApi = new Manticoresearch.UtilsApi(client);

通过 Java 客户端连接：

// https://github.com/manticoresoftware/manticoresearch-java
import com.manticoresearch.client.*;
import com.manticoresearch.client.model.*;
import com.manticoresearch.client.api.*;
...
ApiClient client = Configuration.getDefaultApiClient();
client.setBasePath("http://127.0.0.1:9308");
...
IndexApi indexApi = new IndexApi(client);
SearchApi searchApi = new UtilsApi(client);
UtilsApi utilsApi = new UtilsApi(client);

通过 .Net 客户端连接：

// https://github.com/manticoresoftware/manticoresearch-net
using System.Net.Http;
...
using ManticoreSearch.Client;
using ManticoreSearch.Api;
using ManticoreSearch.Model;
...
config = new Configuration();
config.BasePath = "http://localhost:9308";
httpClient = new HttpClient();
httpClientHandler = new HttpClientHandler();
...
var indexApi = new IndexApi(httpClient, config, httpClientHandler);
var searchApi = new SearchApi(httpClient, config, httpClientHandler);
var utilsApi = new UtilsApi(httpClient, config, httpClientHandler);

通过TypeScript 客户端连接：

import {
  Configuration,
  IndexApi,
  SearchApi,
  UtilsApi
} from "manticoresearch-ts";
...
const config = new Configuration({
  basePath: 'http://localhost:9308',
})
const indexApi = new IndexApi(config);
const searchApi = new SearchApi(config);
const utilsApi = new UtilsApi(config);

通过 Go 客户端连接：

import (
	"context"
	manticoreclient "github.com/manticoresoftware/manticoresearch-go"
)
...
configuration := manticoreclient.NewConfiguration()
configuration.Servers[0].URL = "http://localhost:9308"
apiClient := manticoreclient.NewAPIClient(configuration)

创建表

现在我们创建一个名为 "products" 的表，包含两个字段：

title - 全文字段，用于存储产品的标题
price - 类型为 "float"

注意，创建表时可以省略显式的创建语句。更多信息请参阅自动模式。

关于创建表的不同方式，您可以在以下学习课程中找到更多信息：

SQL:

create table products(title text, price float) morphology='stem_en';

Query OK, 0 rows affected (0.02 sec)

HTTP:

POST /cli -d "create table products(title text, price float) morphology='stem_en'"

{
"total":0,
"error":"",
"warning":""
}

PHP:

$index = new \Manticoresearch\Index($client);
$index->setName('products');
$index->create([
    'title'=>['type'=>'text'],
    'price'=>['type'=>'float'],
],['morphology' => 'stem_en']);

Python:

utilsApi.sql('create table products(title text, price float) morphology=\'stem_en\'')

Javascript:

res = await utilsApi.sql('create table products(title text, price float) morphology=\'stem_en\'');

Java:

utilsApi.sql("create table products(title text, price float) morphology='stem_en'");

C#:

utilsApi.Sql("create table products(title text, price float) morphology='stem_en'");

TypeScript:

res = await utilsApi.sql('create table products(title text, price float) morphology=\'stem_en\'');

Go:

res := apiClient.UtilsAPI.Sql(context.Background()).Body("create table products(title text, price float) morphology='stem_en'").Execute();

添加文档

现在我们向表中添加几个文档：

SQL:

insert into products(title,price) values ('Crossbody Bag with Tassel', 19.85), ('microfiber sheet set', 19.99), ('Pet Hair Remover Glove', 7.99);

Query OK, 3 rows affected (0.01 sec)

JSON:

"id":0 或者省略 id 字段将会强制自动生成 ID。

POST /insert
{
  "index":"products",
  "doc":
  {
    "title" : "Crossbody Bag with Tassel",
    "price" : 19.85
  }
}


POST /insert
{
  "index":"products",
  "doc":
  {
    "title" : "microfiber sheet set",
    "price" : 19.99
  }
}

POST /insert
{
  "index":"products",
  "doc":
  {
    "title" : "Pet Hair Remover Glove",
    "price" : 7.99
  }
}

{
  "_index": "products",
  "_id": 0,
  "created": true,
  "result": "created",
  "status": 201
}

{
  "_index": "products",
  "_id": 0,
  "created": true,
  "result": "created",
  "status": 201
}

{
  "_index": "products",
  "_id": 0,
  "created": true,
  "result": "created",
  "status": 201
}

PHP:

$index->addDocuments([
        ['title' => 'Crossbody Bag with Tassel', 'price' => 19.85],
        ['title' => 'microfiber sheet set', 'price' => 19.99],
        ['title' => 'Pet Hair Remover Glove', 'price' => 7.99]
]);

Python:

indexApi.insert({"index" : "products", "doc" : {"title" : "Crossbody Bag with Tassel", "price" : 19.85}})
indexApi.insert({"index" : "products", "doc" : {"title" : "microfiber sheet set", "price" : 19.99}})
indexApi.insert({"index" : "products", "doc" : {"title" : "Pet Hair Remover Glove", "price" : 7.99}})

Javascript:

res = await indexApi.insert({"index" : "products", "doc" : {"title" : "Crossbody Bag with Tassel", "price" : 19.85}});
res = await indexApi.insert({"index" : "products", "doc" : {"title" : "microfiber sheet set", "price" : 19.99}});
res = await indexApi.insert({"index" : "products", "doc" : {"title" : "Pet Hair Remover Glove", "price" : 7.99}});

java:

InsertDocumentRequest newdoc = new InsertDocumentRequest();
HashMap<String,Object> doc = new HashMap<String,Object>(){{
    put("title","Crossbody Bag with Tassel");
    put("price",19.85);
}};
newdoc.index("products").setDoc(doc);
sqlresult = indexApi.insert(newdoc);

newdoc = new InsertDocumentRequest();
doc = new HashMap<String,Object>(){{
    put("title","microfiber sheet set");
    put("price",19.99);
}};
newdoc.index("products").setDoc(doc);
sqlresult = indexApi.insert(newdoc);

newdoc = new InsertDocumentRequest();
doc = new HashMap<String,Object>(){{
    put("title","Pet Hair Remover Glove");
    put("price",7.99);
 }};
newdoc.index("products").setDoc(doc);
indexApi.insert(newdoc);

C#:

Dictionary<string, Object> doc = new Dictionary<string, Object>();
doc.Add("title","Crossbody Bag with Tassel");
doc.Add("price",19.85);
InsertDocumentRequest insertDocumentRequest = new InsertDocumentRequest(index: "products", doc: doc);
sqlresult = indexApi.Insert(insertDocumentRequest);

doc = new Dictionary<string, Object>();
doc.Add("title","microfiber sheet set");
doc.Add("price",19.99);
insertDocumentRequest = new InsertDocumentRequest(index: "products", doc: doc);
sqlresult = indexApi.Insert(insertDocumentRequest);

doc = new Dictionary<string, Object>();
doc.Add("title","Pet Hair Remover Glove");
doc.Add("price",7.99);
insertDocumentRequest = new InsertDocumentRequest(index: "products", doc: doc);
sqlresult = indexApi.Insert(insertDocumentRequest);

TypeScript:

res = await indexApi.insert({
  index: 'test',
  id: 1,
  doc: { content: 'Text 1', name: 'Doc 1', cat: 1 },
});
res = await indexApi.insert({
  index: 'test',
  id: 2,
  doc: { content: 'Text 2', name: 'Doc 2', cat: 2 },
});
res = await indexApi.insert({
  index: 'test',
  id: 3,
  doc: { content: 'Text 3', name: 'Doc 3', cat: 7 },
});

Go:

indexDoc := map[string]interface{} {"content": "Text 1", "name": "Doc 1", "cat": 1 }
indexReq := manticoreclient.NewInsertDocumentRequest("products", indexDoc)
indexReq.SetId(1)
apiClient.IndexAPI.Insert(context.Background()).InsertDocumentRequest(*indexReq).Execute()

indexDoc = map[string]interface{} {"content": "Text 2", "name": "Doc 3", "cat": 2 }
indexReq = manticoreclient.NewInsertDocumentRequest("products", indexDoc)
indexReq.SetId(2)
apiClient.IndexAPI.Insert(context.Background()).InsertDocumentRequest(*indexReq).Execute()

indexDoc = map[string]interface{} {"content": "Text 3", "name": "Doc 3", "cat": 7 }    	
indexReq = manticoreclient.NewInsertDocumentRequest("products", indexDoc)
indexReq.SetId(3)
apiClient.IndexAPI.Insert(context.Background()).InsertDocumentRequest(*indexReq).Execute()

更多关于此主题的详细信息可以参考：

搜索

我们现在尝试查找其中一个文档。我们将使用的查询是 "remove hair"。正如你所看到的，它找到了标题为 "Pet Hair Remover Glove" 的文档，并在其中高亮显示了 "Hair remover"，即使查询中使用的是 "remove"，而不是 "remover"。这是因为我们在创建表时启用了英语词干分析（词法 "stem_en"）。

SQL:

select id, highlight(), price from products where match('remove hair');

+---------------------+-------------------------------+----------+
| id                  | highlight()                   | price    |
+---------------------+-------------------------------+----------+
| 1513686608316989452 | Pet <b>Hair Remover</b> Glove | 7.990000 |
+---------------------+-------------------------------+----------+
1 row in set (0.00 sec)

JSON:

POST /search
{
  "index": "products",
  "query": { "match": { "title": "remove hair" } },
  "highlight":
  {
    "fields": ["title"]
  }
}

{
  "took": 0,
  "timed_out": false,
  "hits": {
    "total": 1,
    "hits": [
      {
        "_id": 1513686608316989452,
        "_score": 1680,
        "_source": {
          "price": 7.99,
          "title": "Pet Hair Remover Glove"
        },
        "highlight": {
          "title": [
            "Pet <b>Hair Remover</b> Glove"
          ]
        }
      }
    ]
  }
}

PHP:

$result = $index->search('@title remove hair')->highlight(['title'])->get();
foreach($result as $doc)
{
    echo "Doc ID: ".$doc->getId()."\n";
    echo "Doc Score: ".$doc->getScore()."\n";
    echo "Document fields:\n";
    print_r($doc->getData());
    echo "Highlights: \n";
    print_r($doc->getHighlight());
}

Doc ID: 1513686608316989452
Doc Score: 1680
Document fields:
Array
(
    [price] => 7.99
    [title] => Pet Hair Remover Glove
)
Highlights:
Array
(
    [title] => Array
        (
            [0] => Pet <b>Hair Remover</b> Glove
        )
)

Python

searchApi.search({"index":"products","query":{"query_string":"@title remove hair"},"highlight":{"fields":["title"]}})

{'hits': {'hits': [{u'_id': u'1513686608316989452',
                    u'_score': 1680,
                    u'_source': {u'title': u'Pet Hair Remover Glove', u'price':7.99},
                    u'highlight':{u'title':[u'Pet <b>Hair Remover</b> Glove']}}}],
          'total': 1},
 'profile': None,
 'timed_out': False,
 'took': 0}

javascript

res = await searchApi.search({"index":"products","query":{"query_string":"@title remove hair"}"highlight":{"fields":["title"]}});

{"hits": {"hits": [{"_id": 1513686608316989452,
                    "_score": 1680,
                    "_source": {"title": "Pet Hair Remover Glove", "price":7.99},
                    "highlight":{"title":["Pet <b>Hair Remover</b> Glove"]}}],
          "total": 1},
 "profile": None,
 "timed_out": False,
 "took": 0}

java


query = new HashMap<String,Object>();
query.put("query_string","@title remove hair");
searchRequest = new SearchRequest();
searchRequest.setIndex("forum");
searchRequest.setQuery(query);
HashMap<String,Object> highlight = new HashMap<String,Object>(){{
    put("fields",new String[] {"title"});

}};
searchRequest.setHighlight(highlight);
searchResponse = searchApi.search(searchRequest);

class SearchResponse {
    took: 84
    timedOut: false
    hits: class SearchResponseHits {
        total: 1
        maxScore: null
        hits: [{_id=1513686608316989452, _score=1, _source={price=7.99, title=Pet Hair Remover Glove}, highlight={title=[Pet <b>Hair Remover</b> Glove]}}]
        aggregations: null
    }
    profile: null
}

object query =  new { query_string="@title remove hair" };
var searchRequest = new SearchRequest("products", query);
var highlight = new Highlight();
highlight.Fieldnames = new List<string> {"title"};
searchRequest.Highlight = highlight;
searchResponse = searchApi.Search(searchRequest);

class SearchResponse {
    took: 103
    timedOut: false
    hits: class SearchResponseHits {
        total: 1
        maxScore: null
        hits: [{_id=1513686608316989452, _score=1, _source={price=7.99, title=Pet Hair Remover Glove}, highlight={title=[Pet <b>Hair Remover</b> Glove]}}]
        aggregations: null
    }
    profile: null
}

TypeScript

res = await searchApi.search({
  index: 'test',
  query: { query_string: {'text 1'} },
  highlight: {'fields': ['content'] }
});

{
    "hits": 
    {
        "hits": 
        [{
            "_id": 1,
            "_score": 1400,
            "_source": {"content":"Text 1","name":"Doc 1","cat":1},
            "highlight": {"content":["<b>Text 1</b>"]}
        }],
        "total": 1
    },
    "profile": None,
    "timed_out": False,
    "took": 0
}

searchRequest := manticoreclient.NewSearchRequest("test")
query := map[string]interface{} {"query_string": "text 1"};
searchRequest.SetQuery(query);

highlightField := manticoreclient.NewHighlightField("content")
fields := []interface{}{ highlightField }
highlight := manticoreclient.NewHighlight()
highlight.SetFields(fields)
searchRequest.SetHighlight(highlight);

res, _, _ := apiClient.SearchAPI.Search(context.Background()).SearchRequest(*searchRequest).Execute()

{
    "hits": 
    {
        "hits": 
        [{
            "_id": 1,
            "_score": 1400,
            "_source": {"content":"Text 1","name":"Doc 1","cat":1},
            "highlight": {"content":["<b>Text 1</b>"]}
        }],
        "total": 1
    },
    "profile": None,
    "timed_out": False,
    "took": 0
}

更多关于 Manticore 中不同搜索选项的信息可以在我们的学习课程中找到：

更新

假设我们现在想要更新文档 - 将价格更改为 18.5。此操作可以通过任何字段进行过滤，但通常你会知道文档的 ID，并基于此更新相关信息。

SQL:

update products set price=18.5 where id = 1513686608316989452;

Query OK, 1 row affected (0.00 sec)

JSON:

POST /update
{
  "index": "products",
  "id": 1513686608316989452,
  "doc":
  {
    "price": 18.5
  }
}

{
  "_index": "products",
  "_id": 1513686608316989452,
  "result": "updated"
}

PHP:

$doc = [
    'body' => [
        'index' => 'products',
        'id' => 2,
        'doc' => [
            'price' => 18.5
        ]
    ]
];

$response = $client->update($doc);

Python:

indexApi = api = manticoresearch.IndexApi(client)
indexApi.update({"index" : "products", "id" : 1513686608316989452, "doc" : {"price":18.5}})

Javascript:

res = await indexApi.update({"index" : "products", "id" : 1513686608316989452, "doc" : {"price":18.5}});

java:

UpdateDocumentRequest updateRequest = new UpdateDocumentRequest();
doc = new HashMap<String,Object >(){{
    put("price",18.5);
}};
updateRequest.index("products").id(1513686608316989452L).setDoc(doc);
indexApi.update(updateRequest);

C#:

Dictionary<string, Object> doc = new Dictionary<string, Object>();
doc.Add("price", 18.5);
UpdateDocumentRequest updateDocumentRequest = new UpdateDocumentRequest(index: "products", id: 1513686608316989452L, doc: doc);
indexApi.Update(updateDocumentRequest);

TypeScript:

res = await indexApi.update({ index: "test", id: 1, doc: { cat: 10 } });

Go:

updDoc = map[string]interface{} {"cat": 10}
updRequest = manticoreclient.NewUpdateDocumentRequest("test", updDoc)
updRequest.SetId(1)
res, _, _ = apiClient.IndexAPI.Update(context.Background()).UpdateDocumentRequest(*updRequest).Execute()

删除

现在我们删除所有价格低于 10 的文档。

SQL:

delete from products where price < 10;

Query OK, 1 row affected (0.00 sec)

JSON:

POST /delete
{
  "index": "products",
  "query":
  {
    "range":
    {
      "price":
      {
        "lte": 10
      }
    }
  }
}

{
  "_index": "products",
  "deleted": 1
}

PHP:

$result = $index->deleteDocuments(new \Manticoresearch\Query\Range('price',['lte'=>10]));

Array
(
    [_index] => products
    [deleted] => 1
)

Python:

indexApi.delete({"index" : "products", "query": {"range":{"price":{"lte":10}}}})

Javascript:

res = await indexApi.delete({"index" : "products", "query": {"range":{"price":{"lte":10}}}});

java:

DeleteDocumentRequest deleteRequest = new DeleteDocumentRequest();
query = new HashMap<String,Object>();
query.put("range",new HashMap<String,Object>(){{
    put("price",new HashMap<String,Object>(){{
        put("lte",10);
    }});
}});
deleteRequest.index("products").setQuery(query);
indexApi.delete(deleteRequest);

C#:

Dictionary<string, Object> price = new Dictionary<string, Object>();
price.Add("lte", 10);
Dictionary<string, Object> range = new Dictionary<string, Object>();
range.Add("price", price);
DeleteDocumentRequest deleteDocumentRequest = new DeleteDocumentRequest(index: "products", range: range);
indexApi.Delete(deleteDocumentRequest);

TypeScript:

res = await indexApi.delete({
  index: 'test',
  query: { match: { '*': 'Text 1' } },
});

Go:

delRequest := manticoreclient.NewDeleteDocumentRequest("test")
matchExpr := map[string]interface{} {"*": "Text 1t"}
delQuery := map[string]interface{} {"match": matchExpr }
delRequest.SetQuery(delQuery)
res, _, _ := apiClient.IndexAPI.Delete(context.Background()).DeleteDocumentRequest(*delRequest).Execute();

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