Creating an index Nest

问题:

How would I recreate the following index using Elasticsearch Nest API?

Here is the json for the index including the mapping:

{
    "settings": {
        "analysis": {
            "filter": {
                "trigrams_filter": {
                    "type":     "ngram",
                    "min_gram": 3,
                    "max_gram": 3
                }
            },
            "analyzer": {
                "trigrams": {
                    "type":      "custom",
                    "tokenizer": "standard",
                    "filter":   [
                        "lowercase",
                        "trigrams_filter"
                    ]
                }
            }
        }
    },
    "mappings": {
        "data": {
        "_all" : {"enabled" : true},
            "properties": {
                "text": {
                    "type":     "string",
                    "analyzer": "trigrams" 
                }
            }
        }
    }
}

Here is my attempt:

var newIndex = client.CreateIndexAsync(indexName, index => index
            .NumberOfReplicas(replicas)
            .NumberOfShards(shards)
            .Settings(settings => settings
                .Add("merge.policy.merge_factor", "10")
                .Add("search.slowlog.threshold.fetch.warn", "1s")
                .Add("mapping.allow_type_wrapper", true))
             .AddMapping<Object>(mapping => mapping
                .IndexAnalyzer("trigram")
                .Type("string"))
 );

The documentation does not mention anything about this?

UPDATE:

Found this post that uses var index = new IndexSettings()

and then adds Analysis with the string literal json.

index.Add("analysis", @"{json});

Where can one find more examples like this one and does this work?

回答1:

There are two main ways that you can accomplish this as outlined in the Nest Create Index Documentation:

Here is the way where you directly declare the index settings as Fluent Dictionary entries. Just like you are doing in your example above. I tested this locally and it produces the index settings that match your JSON above.

    var response = client.CreateIndex(indexName, s => s
      .NumberOfReplicas(replicas)
      .NumberOfShards(shards)
      .Settings(settings => settings
         .Add("merge.policy.merge_factor", "10")
         .Add("search.slowlog.threshold.fetch.warn", "1s")
         .Add("mapping.allow_type_wrapper", true)
         .Add("analysis.filter.trigrams_filter.type", "nGram")
         .Add("analysis.filter.trigrams_filter.min_gram", "3")
         .Add("analysis.filter.trigrams_filter.max_gram", "3")
         .Add("analysis.analyzer.trigrams.type", "custom")
         .Add("analysis.analyzer.trigrams.tokenizer", "standard")
         .Add("analysis.analyzer.trigrams.filter.0", "lowercase")
         .Add("analysis.analyzer.trigrams.filter.1", "trigrams_filter")
       )
       .AddMapping<Object>(mapping => mapping
          .Type("data")
          .AllField(af => af.Enabled())
          .Properties(prop => prop
             .String(sprop => sprop
               .Name("text")
               .IndexAnalyzer("trigrams")
              )
           )
       )
   );

Please note that NEST also includes the ability to create index settings using strongly typed classes as well. I will post an example of that later, if I have time to work through it.

Hope this helps.

回答2:

In case people have NEST 2.0, the .NumberOfReplicas(x).NumberOfShards(y) are in the Settings area now so specify within the lamba expression under Settings.

        EsClient.CreateIndex("indexname", c => c
        .Settings(s => s
             .NumberOfReplicas(replicasNr)
             .NumberOfShards(shardsNr)
        )

NEST 2.0 has a lot of changes and moved things around a bit so these answers are a great starting point for sure. You may need to adjust a little for the NEST 2.0 update.

回答3:

Small example :

            EsClient.CreateIndex("indexname", c => c
                .NumberOfReplicas(replicasNr)
                .NumberOfShards(shardsNr)
            .Settings(s => s
                 .Add("merge.policy.merge_factor", "10")
                 .Add("search.slowlog.threshold.fetch.warn", "15s")
            )

            #region Analysis
           .Analysis(descriptor => descriptor
                .Analyzers(bases => bases
                    .Add("folded_word", new CustomAnalyzer()
                    {
                        Filter = new List<string> { "icu_folding", "trim" },
                        Tokenizer = "standard"
                    }
                    )

             .TokenFilters(i => i
                         .Add("engram", new EdgeNGramTokenFilter
                         {
                             MinGram = 1,
                             MaxGram = 20
                         }
                         )
            )
            .CharFilters(cf => cf
                         .Add("drop_chars", new PatternReplaceCharFilter
                         {
                             Pattern = @"[^0-9]",
                             Replacement = ""
                         }

            )
            #endregion

            #region Mapping Categories
            .AddMapping<Categories>(m => m
                .Properties(props => props
                    .MultiField(mf => mf
                            .Name(n => n.Label_en)
                            .Fields(fs => fs
                                .String(s => s.Name(t => t.Label_en).Analyzer("folded_word"))
                                )
                        )
             )
            #endregion
    );

回答4:

In case anyone has migrated to NEST 2.4 and has the same question - you would need to define your custom filters and analyzers in the index settings like this:

        elasticClient.CreateIndex(_indexName, i => i
            .Settings(s => s
                .Analysis(a => a
                    .TokenFilters(tf => tf
                        .EdgeNGram("edge_ngrams", e => e
                            .MinGram(1)
                            .MaxGram(50)
                            .Side(EdgeNGramSide.Front)))
                        .Analyzers(analyzer => analyzer
                            .Custom("partial_text", ca => ca
                                .Filters(new string[] { "lowercase", "edge_ngrams" })
                                .Tokenizer("standard"))
                            .Custom("full_text", ca => ca
                                .Filters(new string[] { "standard", "lowercase" } )
                                .Tokenizer("standard"))))));