Length

length 过滤器删除不符合指定长度要求的词项，使您能够控制在文本处理过程中保留的词项长度。

配置

length 过滤器是 Zilliz Cloud 中的自定义过滤器，通过在过滤器配置中设置 "type": "length" 来指定。您可以将其配置为分析器参数中的字典，以定义长度限制。

Python

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(new HashMap<String, Object>() {{
            put("type", "length");
            put("max", 10);
        }}));

NodeJS

cosnt analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
};

Go

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type": "length",
        "max":  10,
    }}}

cURL

# restful
analyzerParams='{
  "tokenizer": "standard",
  "filter": [
    {
      "type": "length",
      "max": 10
    }
  ]
}'

length 过滤器接受以下可选参数。

参数	描述
max	设置词元的最大长度。长度大于 max 的词元将会被移除，不会出现在分词结果中。

length 过滤器作用于分词器生成的词项，因此必须与分词器结合使用。有关 Zilliz Cloud 中可用的分词器列表，请参阅分词器参考。

定义 analyzer_params 后，您可以在定义 Collection Schema 时将其应用于 VARCHAR 字段。这使得 Zilliz Cloud 能够使用指定的分析器处理该字段中的文本，以实现高效的分词和过滤。更多信息，请参阅使用示例。

示例输出

在完成 Analyzer 配置后，您可以使用 run_analyzer 方法来验证分词效果是否符合预期。

Analyzer 配置

Python

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(new HashMap<String, Object>() {{
            put("type", "length");
            put("max", 10);
        }}));

NodeJS

// javascript

Go

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type": "length",
        "max":  10,
    }}}

cURL

# restful

使用 run_analyzer 验证效果

Python

from pymilvus import (
    MilvusClient,
)

client = MilvusClient(uri="YOUR_CLUSTER_ENDPOINT")

# Sample text to analyze
sample_text = "The length filter allows control over token length requirements for text processing."

# Run the standard analyzer with the defined configuration
result = client.run_analyzer(sample_text, analyzer_params)
print("Standard analyzer output:", result)

Java

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.vector.request.RunAnalyzerReq;
import io.milvus.v2.service.vector.response.RunAnalyzerResp;

ConnectConfig config = ConnectConfig.builder()
        .uri("YOUR_CLUSTER_ENDPOINT")
        .build();
MilvusClientV2 client = new MilvusClientV2(config);

List<String> texts = new ArrayList<>();
texts.add("The length filter allows control over token length requirements for text processing.");

RunAnalyzerResp resp = client.runAnalyzer(RunAnalyzerReq.builder()
        .texts(texts)
        .analyzerParams(analyzerParams)
        .build());
List<RunAnalyzerResp.AnalyzerResult> results = resp.getResults();

NodeJS

// javascript

Go

import (
    "context"
    "encoding/json"
    "fmt"

    "github.com/milvus-io/milvus/client/v2/milvusclient"
)

client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
    Address: "localhost:19530",
    APIKey:  "YOUR_CLUSTER_TOKEN",
})
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

bs, _ := json.Marshal(analyzerParams)
texts := []string{"The length filter allows control over token length requirements for text processing."}
option := milvusclient.NewRunAnalyzerOption(texts).
    WithAnalyzerParams(string(bs))

result, err := client.RunAnalyzer(ctx, option)
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

cURL

# restful

预期结果

['The', 'length', 'filter', 'allows', 'control', 'over', 'token', 'length', 'for', 'text', 'processing']