跳到主要内容
版本:v2.5.x

runAnalyzer()

This operation processes the input data and generates tokenized output.

Java
public RunAnalyzerResp runAnalyzer(RunAnalyzerReq request)

Request Syntax

Java
runAnalyzer(RunAnalyzerReq.builder()
.texts(List<String> texts)
.analyzerParams(Map<String, Object> analzyerParams)
.withDetail(Boolean withDetail)
.withHash(Boolean withHash)
.databaseName(String databaseName)
.collectionName(String collectionName)
.fieldName(String fieldName)
.analyzerNames(List<String> analyzerNames)
.build()
)

BUILDER METHODS:

  • texts(List<String> texts)

    The input text or a list of texts to be analyzed.

  • analyzerParams(Map<String, Object> analzyerParams)

    The parameters for the analyzer. If left unspecified, defaults to an empty dictionary.

  • withDetail(Boolean withDetail)

    An optional flag indicating whether to return detailed analysis output.

  • withHash(Boolean withHash)

    An optional flag indicating whether to include hash-based processing.

RETURN TYPE:

RunAnalyzerResp

RETURNS:

A RunAnalyzerResp contains a list of AnalyzerResult objects, each of which is a list of AnalyzerToken objects.

Java
├── RunAnalyzerResp
│ ├── AnalyzerResult_00
│ │ ├── AnalyzerToken_00
│ │ ├── AnalyzerToken_01
│ │ ├── ...
│ │ └── AnalyzerToken_0x
│ ├── AnalyzerResult_01
│ ├── ...
│ └── AnalyzerResult_0x

An AnalyzerToken has the following attributes:

  • token (String) -

    An analyzed token string

  • startOffset (Long) -

    The offset of the above token's first character in the analyzed text.

  • endOffset (Long) -

    The offset of the above token's last character in the analyzed text.

  • position (Long) -

    The position of the above token in the analyzed text.

  • positionLength (Long) -

    The length of the above token.

  • hash (Long) -

    The hash value of the above token.

Example

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;

// 1. Set up a client
ConnectConfig connectConfig = ConnectConfig.builder()
.uri("http://localhost:19530")
.token("root:Milvus")
.build();

MilvusClientV2 client = new MilvusClientV2(connectConfig);

// 2. Run analyzer
List<String> texts = new ArrayList<>();
texts.add("Analyzers (tokenizers) for multi languages");
texts.add("2.5 to take advantage of enhancements and fixes!");

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
Arrays.asList("lowercase",
new HashMap<String, Object>() {{
put("type", "stop");
put("stop_words", Arrays.asList("to", "of", "for", "the"));
}}));

RunAnalyzerResp resp = client.runAnalyzer(RunAnalyzerReq.builder()
.texts(texts)
.analyzerParams(analyzerParams)
.withDetail(true)
.withHash(true)
.build());