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This article introduces the relevant knowledge of "how to achieve elasticsearch Chinese word segmentation integration". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Perhaps the most relevant thing for the index is word segmentation. Generally speaking, for es, the default smartcn is not very good.

One is for ik and the other is for mmseg. The following two usages are described respectively. In fact, they are all the same. Install the plug-in first and use the command line:

Install the ik plug-in

Plugin-install medcl/elasticsearch-analysis-ik/1.1.0

Download the ik related configuration dictionary file to the config directory

Unzip ik.zip

Rm ik.zip

Word segmentation configuration

Ik participle configuration, adding to the elasticsearch.yml file

Index: analysis: analyzer: ik: alias: [ik_analyzer] type: org.elasticsearch.index.analysis.IkAnalyzerProvider

Or

Index.analysis.analyzer.ik.type: "ik" install the mmseg plug-in:

Bin/plugin-install medcl/elasticsearch-analysis-mmseg/1.1.0

Download the relevant configuration dictionary file to the config directory

Cd config

Wget http://github.com/downloads/medcl/elasticsearch-analysis-mmseg/mmseg.zip-- no-check-certificate

Unzip mmseg.zip

Rm mmseg.zip

Mmseg participle configuration, also in the elasticsearch.yml file

Index: analysis: analyzer: mmseg: alias: [news_analyzer, mmseg_analyzer] type: org.elasticsearch.index.analysis.MMsegAnalyzerProvider

Or

Index.analysis.analyzer.default.type: "mmseg"

Some more personalized parameter settings for mmseg participle are as follows

Index: analysis: tokenizer: mmseg_maxword: type: mmseg seg_type: "max_word" mmseg_complex: type: mmseg seg_type: "complex" mmseg_simple: type: mmseg seg_type: "simple"

After configuration, the plug-in installation is complete, and launching es will load the plug-in.

Define mapping

You can define a word splitter like this when you add an indexed mapping

{"page": {"properties": {"title": {"type": "string", "indexAnalyzer": "ik", "searchAnalyzer": "ik"}, "content": {"type": "string", "indexAnalyzer": "ik" SearchAnalyzer: "ik"}

IndexAnalyzer is the word splitter used in indexing, and searchAnalyzer is the word splitter used in search.

The java mapping code is as follows:

XContentBuilder content = XContentFactory.jsonBuilder (). StartObject () .startObject ("page") .startObject ("properties") .startObject ("title") .field ("type", "string") .field ("indexAnalyzer", "ik") .field ("searchAnalyzer") "ik") .endObject () .startObject ("code") .field ("type", "string") .field ("indexAnalyzer", "ik") .field ("searchAnalyzer", "ik") .endObject () .endObject ()

You can call the following api for testing participle. Note that indexname is the index name. Just specify a random index.

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