Elasticsearch 7:无法解析映射[_doc]:根映射定义具有不受支持的参数:

问题描述 投票:1回答:1

我以前与Elasticsearch版本6一起使用的NEST代码在Elastichsearch版本7上引发以下错误:

无法解析映射[_doc]:根映射定义具有不支持的参数:

我见过this question,它解释了ES 7中不推荐使用的映射类型...我不确定这是否是我的问题?如何解决此问题?

这是我用于生成索引的代码:

var createIndexResponse = ElasticClient.CreateIndex(IndexName, c => c
    .Settings(st => st
        .Analysis(an => an
            .Analyzers(anz => anz
                .Custom("result_suggester_analyzer", rsa => rsa
                    .Tokenizer("standard")
                    .CharFilters("html_strip", "mapped_words_char_filter")
                    .Filters(new string[] { "english_possessive_stemmer", "lowercase", "asciifolding", "stop_words", "english_stemmer", "edge_ngram_token_filter", "unique" })
                )
                .Custom("custom_english_analyzer", ce => ce
                    .Tokenizer("standard")
                    .CharFilters("html_strip", "mapped_words_char_filter")
                    .Filters(new string[] { "english_possessive_stemmer", "lowercase", "asciifolding", "stop_words", "english_stemmer", "unique" })
                )
            )
            .Normalizers(nor => nor
                .Custom("custom_ignore_case_normalizer", icn => icn
                    .CharFilters("mapped_words_char_filter")
                    .Filters(new string[] { "lowercase", "asciifolding" })
                )
            )
            .CharFilters(cf => cf
                .Mapping("mapped_words_char_filter", md => md
                    .Mappings(
                        "C# => csharp"
                    )
                )
            )
            .TokenFilters(tfd => tfd
                .EdgeNGram("edge_ngram_token_filter", engd => engd
                    .MinGram(2)
                    .MaxGram(10)
                )
                .Stop("stop_words", sfd => sfd.StopWords(_stopWords))
                .Stemmer("english_stemmer", esd => esd.Language("english"))
                .Stemmer("english_possessive_stemmer", epsd => epsd.Language("possessive_english"))
            )
        )
    )
    .Mappings(m => m.Map<AdDocument>(d => d.AutoMap()))); 

这是MyDocument

[ElasticsearchType(Name = "ad")]
public class AdDocument
{
    public long Id { get; set; }

    [Text(Analyzer = "custom_english_analyzer", SearchAnalyzer = "custom_english_analyzer")]
    public string FirstName { get; set; }

    // searchable properties from AdBase
    public bool IsActive { get; set; }

    [Text(Analyzer = "custom_english_analyzer", SearchAnalyzer = "custom_english_analyzer")]
    public string Title { get; set; }

    public short AdDurationInDays { get; set; }

    public DateTime AdStartTime { get; set; }

    [Keyword(Index = false)]   // Keyword => not analyzed
    public string MainPhotoUrl { get; set; }

    [Text(Analyzer = "custom_english_analyzer", SearchAnalyzer = "custom_english_analyzer")]
    public string StoreName { get; set; }

    // searchable properties from Address
    public GeoLocation GeoLocation { get; set; }

    [Keyword(Normalizer = "custom_ignore_case_normalizer")]   // keywords => not analyzed, use ignore case normalizer otherwise search would be case sensitive
    public string Suburb { get; set; }

    // Price is used when something is being sold, in case of real estate rental it indicates the rent value, in case of Jobs it is not used (we use salary) and services have not price
    public decimal? Price { get; set; }

    public DateTime? AvailableFrom { get; set; }

    public bool? IsFurnished { get; set; }

    public long? LandArea { get; set; }

    public short? JobTypeId { get; set; }
}

这是Elasticsearch的响应(错误):

Failed to parse mapping [_doc]: Root mapping definition has unsupported parameters:

[ad : {
    properties= {
        landArea={
            type=long
        }, 
        isFurnished={
            type=boolean
        }, isActive={
            type=boolean
        }, title={
            search_analyzer=custom_english_analyzer, 
            analyzer=custom_english_analyzer, 
            type=text
        }, 
        availableFrom={
            type=date
        }, 
        mainPhotoUrl={
            index=false, 
            type=keyword
        }, 
        price={
            type=double
        }, 
        storeName={
            search_analyzer=custom_english_analyzer, 
            analyzer=custom_english_analyzer, 
            type=text
        }, 
        id={
            type=long
        }, 
        firstName={
            search_analyzer=custom_english_analyzer, 
            analyzer=custom_english_analyzer, 
            type=text
        }, 
        geoLocation={
            type=geo_point
        }
    }
}]
elasticsearch nest
1个回答
0
投票

您曾经使用过Elasticsearch版本6,现在使用版本7。我认为您的云Elasticsearch客户端版本仍为版本6。还将您的云也升级到版本7。

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