2017-04-18 91 views
0

我是一個Solr noob,並試圖讓它索引一個mysql數據庫。我已經安裝並運行了發行版附帶的示例文檔。當我嘗試創建一個新的核心,我得到一個錯誤Solr _version_字段錯誤

Error CREATEing SolrCore 'mailstore': Unable to create core [mailstore] Caused by: 
_version_ field must exist in schema and be searchable (indexed or docValues) and 
retrievable(stored or docValues) and not multiValued (_version_ does not exist) 

這裏是我的schema.xml中,適合於Github上從例如:

<?xml version="1.0" encoding="UTF-8" ?> 

<schema name="mailschema" version="1.6"> 
    <field name="_version_" type="long" indexed="true" stored="true" multiValued="false"/> 
    <field name="_root_" type="string" indexed="true" stored="false" docValues="false" /> 
    <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> 
    <field name="SentOn" type="date" indexed="true" stored="true"/> 
    <field name="Body" type="text_general" indexed="true" stored="true"/> 
    <field name="ConversationTopic" type="text_general" indexed="true" stored="true"/> 

    <uniqueKey>id</uniqueKey> 
    <!-- Dynamic field definitions allow using convention over configuration 
     for fields via the specification of patterns to match field names. 
     EXAMPLE: name="*_i" will match any field ending in _i (like myid_i, z_i) 
     RESTRICTION: the glob-like pattern in the name attribute must have 
     a "*" only at the start or the end. --> 

    <dynamicField name="*_i" type="int" indexed="true" stored="true"/> 
    <dynamicField name="*_is" type="int" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_s" type="string" indexed="true" stored="true" /> 
    <dynamicField name="*_ss" type="string" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_l" type="long" indexed="true" stored="true"/> 
    <dynamicField name="*_ls" type="long" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_t" type="text_general" indexed="true" stored="true"/> 
    <dynamicField name="*_txt" type="text_general" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_en" type="text_en" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_b" type="boolean" indexed="true" stored="true"/> 
    <dynamicField name="*_bs" type="boolean" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_f" type="float" indexed="true" stored="true"/> 
    <dynamicField name="*_fs" type="float" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_d" type="double" indexed="true" stored="true"/> 
    <dynamicField name="*_ds" type="double" indexed="true" stored="true" multiValued="true"/> 

    <!-- Type used to index the lat and lon components for the "location" FieldType --> 
    <dynamicField name="*_coordinate" type="tdouble" indexed="true" stored="false" useDocValuesAsStored="false" /> 

    <dynamicField name="*_dt" type="date" indexed="true" stored="true"/> 
    <dynamicField name="*_dts" type="date" indexed="true" stored="true" multiValued="true"/> 
    <dynamicField name="*_p" type="location" indexed="true" stored="true"/> 

    <!-- some trie-coded dynamic fields for faster range queries --> 
    <dynamicField name="*_ti" type="tint" indexed="true" stored="true"/> 
    <dynamicField name="*_tl" type="tlong" indexed="true" stored="true"/> 
    <dynamicField name="*_tf" type="tfloat" indexed="true" stored="true"/> 
    <dynamicField name="*_td" type="tdouble" indexed="true" stored="true"/> 
    <dynamicField name="*_tdt" type="tdate" indexed="true" stored="true"/> 

    <dynamicField name="*_c" type="currency" indexed="true" stored="true"/> 

    <dynamicField name="ignored_*" type="ignored" multiValued="true"/> 
    <dynamicField name="attr_*" type="text_general" indexed="true" stored="true" multiValued="true"/> 

    <dynamicField name="random_*" type="random" /> 

    <!-- uncomment the following to ignore any fields that don't already match an existing 
     field name or dynamic field, rather than reporting them as an error. 
     alternately, change the type="ignored" to some other type e.g. "text" if you want 
     unknown fields indexed and/or stored by default --> 
    <!--dynamicField name="*" type="ignored" multiValued="true" /--> 

<!-- Field to use to determine and enforce document uniqueness. 
     Unless this field is marked with required="false", it will be a required field 
    --> 
<uniqueKey>id</uniqueKey> 

    <!-- copyField commands copy one field to another at the time a document 
     is added to the index. It's used either to index the same field differently, 
     or to add multiple fields to the same field for easier/faster searching. --> 

    <!-- 
    <copyField source="title" dest="text"/> 
    <copyField source="body" dest="text"/> 
    --> 

    <!-- field type definitions. The "name" attribute is 
     just a label to be used by field definitions. The "class" 
     attribute and any other attributes determine the real 
     behavior of the fieldType. 
     Class names starting with "solr" refer to java classes in a 
     standard package such as org.apache.solr.analysis 
    --> 

    <!-- The StrField type is not analyzed, but indexed/stored verbatim. 
     It supports doc values but in that case the field needs to be 
     single-valued and either required or have a default value. 
     --> 
    <fieldType name="string" class="solr.StrField" sortMissingLast="true" docValues="true" /> 

    <!-- boolean type: "true" or "false" --> 
    <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/> 

    <!-- sortMissingLast and sortMissingFirst attributes are optional attributes are 
     currently supported on types that are sorted internally as strings 
     and on numeric types. 
     This includes "string","boolean", and, as of 3.5 (and 4.x), 
     int, float, long, date, double, including the "Trie" variants. 
     - If sortMissingLast="true", then a sort on this field will cause documents 
     without the field to come after documents with the field, 
     regardless of the requested sort order (asc or desc). 
     - If sortMissingFirst="true", then a sort on this field will cause documents 
     without the field to come before documents with the field, 
     regardless of the requested sort order. 
     - If sortMissingLast="false" and sortMissingFirst="false" (the default), 
     then default lucene sorting will be used which places docs without the 
     field first in an ascending sort and last in a descending sort. 
    -->  

    <!-- 
     Default numeric field types. For faster range queries, consider the tint/tfloat/tlong/tdouble types. 

     These fields support doc values, but they require the field to be 
     single-valued and either be required or have a default value. 
    --> 
    <fieldType name="int" class="solr.TrieIntField" docValues="true" precisionStep="0" positionIncrementGap="0"/> 
    <fieldType name="float" class="solr.TrieFloatField" docValues="true" precisionStep="0" positionIncrementGap="0"/> 
    <fieldType name="long" class="solr.TrieLongField" docValues="true" precisionStep="0" positionIncrementGap="0"/> 
    <fieldType name="double" class="solr.TrieDoubleField" docValues="true" precisionStep="0" positionIncrementGap="0"/> 

    <!-- 
    Numeric field types that index each value at various levels of precision 
    to accelerate range queries when the number of values between the range 
    endpoints is large. See the javadoc for NumericRangeQuery for internal 
    implementation details. 

    Smaller precisionStep values (specified in bits) will lead to more tokens 
    indexed per value, slightly larger index size, and faster range queries. 
    A precisionStep of 0 disables indexing at different precision levels. 
    --> 
    <fieldType name="tint" class="solr.TrieIntField" docValues="true" precisionStep="8" positionIncrementGap="0"/> 
    <fieldType name="tfloat" class="solr.TrieFloatField" docValues="true" precisionStep="8" positionIncrementGap="0"/> 
    <fieldType name="tlong" class="solr.TrieLongField" docValues="true" precisionStep="8" positionIncrementGap="0"/> 
    <fieldType name="tdouble" class="solr.TrieDoubleField" docValues="true" precisionStep="8" positionIncrementGap="0"/> 

    <!-- The format for this date field is of the form 1995-12-31T23:59:59Z, and 
     is a more restricted form of the canonical representation of dateTime 
     http://www.w3.org/TR/xmlschema-2/#dateTime  
     The trailing "Z" designates UTC time and is mandatory. 
     Optional fractional seconds are allowed: 1995-12-31T23:59:59.999Z 
     All other components are mandatory. 

     Expressions can also be used to denote calculations that should be 
     performed relative to "NOW" to determine the value, ie... 

       NOW/HOUR 
        ... Round to the start of the current hour 
       NOW-1DAY 
        ... Exactly 1 day prior to now 
       NOW/DAY+6MONTHS+3DAYS 
        ... 6 months and 3 days in the future from the start of 
         the current day 

     Consult the TrieDateField javadocs for more information. 

     Note: For faster range queries, consider the tdate type 
     --> 
    <fieldType name="date" class="solr.TrieDateField" docValues="true" precisionStep="0" positionIncrementGap="0"/> 

    <!-- A Trie based date field for faster date range queries and date faceting. --> 
    <fieldType name="tdate" class="solr.TrieDateField" docValues="true" precisionStep="6" positionIncrementGap="0"/> 


    <!--Binary data type. The data should be sent/retrieved in as Base64 encoded Strings --> 
    <fieldType name="binary" class="solr.BinaryField"/> 

    <!-- The "RandomSortField" is not used to store or search any 
     data. You can declare fields of this type it in your schema 
     to generate pseudo-random orderings of your docs for sorting 
     or function purposes. The ordering is generated based on the field 
     name and the version of the index. As long as the index version 
     remains unchanged, and the same field name is reused, 
     the ordering of the docs will be consistent. 
     If you want different psuedo-random orderings of documents, 
     for the same version of the index, use a dynamicField and 
     change the field name in the request. 
    --> 
    <fieldType name="random" class="solr.RandomSortField" indexed="true" /> 

    <!-- solr.TextField allows the specification of custom text analyzers 
     specified as a tokenizer and a list of token filters. Different 
     analyzers may be specified for indexing and querying. 

     The optional positionIncrementGap puts space between multiple fields of 
     this type on the same document, with the purpose of preventing false phrase 
     matching across fields. 

     For more info on customizing your analyzer chain, please see 
     http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters 
    --> 

    <!-- One can also specify an existing Analyzer class that has a 
     default constructor via the class attribute on the analyzer element. 
     Example: 
    <fieldType name="text_greek" class="solr.TextField"> 
     <analyzer class="org.apache.lucene.analysis.el.GreekAnalyzer"/> 
    </fieldType> 
    --> 

    <!-- A text field that only splits on whitespace for exact matching of words --> 
    <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100"> 
     <analyzer> 
     <tokenizer class="solr.WhitespaceTokenizerFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- A general text field that has reasonable, generic 
     cross-language defaults: it tokenizes with StandardTokenizer, 
    removes stop words from case-insensitive "stopwords.txt" 
    (empty by default), and down cases. At query time only, it 
    also applies synonyms. --> 
    <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100"> 
     <analyzer type="index"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> 
     <!-- in this example, we will only use synonyms at query time 
     <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> 
     --> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     </analyzer> 
     <analyzer type="query"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> 
     <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- A text field with defaults appropriate for English: it 
     tokenizes with StandardTokenizer, removes English stop words 
     (lang/stopwords_en.txt), down cases, protects words from protwords.txt, and 
     finally applies Porter's stemming. The query time analyzer 
     also applies synonyms from synonyms.txt. --> 
    <fieldType name="text_en" class="solr.TextField" positionIncrementGap="100"> 
     <analyzer type="index"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <!-- in this example, we will only use synonyms at query time 
     <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> 
     --> 
     <!-- Case insensitive stop word removal. 
     --> 
     <filter class="solr.StopFilterFactory" 
       ignoreCase="true" 
       words="lang/stopwords_en.txt" 
       /> 
     <filter class="solr.LowerCaseFilterFactory"/> 
    <filter class="solr.EnglishPossessiveFilterFactory"/> 
     <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> 
    <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory: 
     <filter class="solr.EnglishMinimalStemFilterFactory"/> 
    --> 
     <filter class="solr.PorterStemFilterFactory"/> 
     </analyzer> 
     <analyzer type="query"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> 
     <filter class="solr.StopFilterFactory" 
       ignoreCase="true" 
       words="lang/stopwords_en.txt" 
       /> 
     <filter class="solr.LowerCaseFilterFactory"/> 
    <filter class="solr.EnglishPossessiveFilterFactory"/> 
     <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> 
    <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory: 
     <filter class="solr.EnglishMinimalStemFilterFactory"/> 
    --> 
     <filter class="solr.PorterStemFilterFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- A text field with defaults appropriate for English, plus 
    aggressive word-splitting and autophrase features enabled. 
    This field is just like text_en, except it adds 
    WordDelimiterFilter to enable splitting and matching of 
    words on case-change, alpha numeric boundaries, and 
    non-alphanumeric chars. This means certain compound word 
    cases will work, for example query "wi fi" will match 
    document "WiFi" or "wi-fi". 
     --> 
    <fieldType name="text_en_splitting" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true"> 
     <analyzer type="index"> 
     <tokenizer class="solr.WhitespaceTokenizerFactory"/> 
     <!-- in this example, we will only use synonyms at query time 
     <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> 
     --> 
     <!-- Case insensitive stop word removal. 
     --> 
     <filter class="solr.StopFilterFactory" 
       ignoreCase="true" 
       words="lang/stopwords_en.txt" 
       /> 
     <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> 
     <filter class="solr.PorterStemFilterFactory"/> 
     </analyzer> 
     <analyzer type="query"> 
     <tokenizer class="solr.WhitespaceTokenizerFactory"/> 
     <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> 
     <filter class="solr.StopFilterFactory" 
       ignoreCase="true" 
       words="lang/stopwords_en.txt" 
       /> 
     <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> 
     <filter class="solr.PorterStemFilterFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- Less flexible matching, but less false matches. Probably not ideal for product names, 
     but may be good for SKUs. Can insert dashes in the wrong place and still match. --> 
    <fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true"> 
     <analyzer> 
     <tokenizer class="solr.WhitespaceTokenizerFactory"/> 
     <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/> 
     <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/> 
     <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/> 
     <filter class="solr.EnglishMinimalStemFilterFactory"/> 
     <!-- this filter can remove any duplicate tokens that appear at the same position - sometimes 
      possible with WordDelimiterFilter in conjuncton with stemming. --> 
     <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- Just like text_general except it reverses the characters of 
    each token, to enable more efficient leading wildcard queries. --> 
    <fieldType name="text_general_rev" class="solr.TextField" positionIncrementGap="100"> 
     <analyzer type="index"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true" 
      maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/> 
     </analyzer> 
     <analyzer type="query"> 
     <tokenizer class="solr.StandardTokenizerFactory"/> 
     <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> 
     <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> 
     <filter class="solr.LowerCaseFilterFactory"/> 
     </analyzer> 
    </fieldType> 

    <!-- This is an example of using the KeywordTokenizer along 
     With various TokenFilterFactories to produce a sortable field 
     that does not include some properties of the source text 
     --> 
    <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true"> 
     <analyzer> 
     <!-- KeywordTokenizer does no actual tokenizing, so the entire 
      input string is preserved as a single token 
      --> 
     <tokenizer class="solr.KeywordTokenizerFactory"/> 
     <!-- The LowerCase TokenFilter does what you expect, which can be 
      when you want your sorting to be case insensitive 
      --> 
     <filter class="solr.LowerCaseFilterFactory" /> 
     <!-- The TrimFilter removes any leading or trailing whitespace --> 
     <filter class="solr.TrimFilterFactory" /> 
     <!-- The PatternReplaceFilter gives you the flexibility to use 
      Java Regular expression to replace any sequence of characters 
      matching a pattern with an arbitrary replacement string, 
      which may include back references to portions of the original 
      string matched by the pattern. 

      See the Java Regular Expression documentation for more 
      information on pattern and replacement string syntax. 

      http://docs.oracle.com/javase/7/docs/api/java/util/regex/package-summary.html 
      --> 
     <filter class="solr.PatternReplaceFilterFactory" 
       pattern="([^a-z])" replacement="" replace="all" 
     /> 
     </analyzer> 
    </fieldType> 

    <!-- lowercases the entire field value, keeping it as a single token. --> 
    <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100"> 
     <analyzer> 
     <tokenizer class="solr.KeywordTokenizerFactory"/> 
     <filter class="solr.LowerCaseFilterFactory" /> 
     </analyzer> 
    </fieldType> 

    <!-- since fields of this type are by default not stored or indexed, 
     any data added to them will be ignored outright. --> 
    <fieldType name="ignored" stored="false" indexed="false" docValues="false" multiValued="true" class="solr.StrField" /> 

    <!-- This point type indexes the coordinates as separate fields (subFields) 
     If subFieldType is defined, it references a type, and a dynamic field 
     definition is created matching *___<typename>. Alternately, if 
     subFieldSuffix is defined, that is used to create the subFields. 
     Example: if subFieldType="double", then the coordinates would be 
     indexed in fields myloc_0___double,myloc_1___double. 
     Example: if subFieldSuffix="_d" then the coordinates would be indexed 
     in fields myloc_0_d,myloc_1_d 
     The subFields are an implementation detail of the fieldType, and end 
     users normally should not need to know about them. 
    --> 
    <fieldType name="point" class="solr.PointType" dimension="2" subFieldSuffix="_d"/> 

    <!-- A specialized field for geospatial search. If indexed, this fieldType must not be multivalued. --> 
    <fieldType name="location" class="solr.LatLonType" subFieldSuffix="_coordinate"/> 

    <!-- An alternative geospatial field type new to Solr 4. It supports multiValued and polygon shapes. 
     For more information about this and other Spatial fields new to Solr 4, see: 
     http://wiki.apache.org/solr/SolrAdaptersForLuceneSpatial4 
    --> 
    <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType" 
     geo="true" distErrPct="0.025" maxDistErr="0.001" distanceUnits="kilometers" /> 

    <!-- Spatial rectangle (bounding box) field. It supports most spatial predicates, and has 
    special relevancy modes: score=overlapRatio|area|area2D (local-param to the query). DocValues is recommended for 
    relevancy. --> 
    <fieldType name="bbox" class="solr.BBoxField" 
       geo="true" distanceUnits="kilometers" numberType="_bbox_coord" /> 
    <fieldType name="_bbox_coord" class="solr.TrieDoubleField" precisionStep="8" docValues="true" useDocValuesAsStored="false" stored="false"/> 

    <!-- Money/currency field type. See http://wiki.apache.org/solr/MoneyFieldType 
     Parameters: 
      defaultCurrency: Specifies the default currency if none specified. Defaults to "USD" 
      precisionStep: Specifies the precisionStep for the TrieLong field used for the amount 
      providerClass: Lets you plug in other exchange provider backend: 
          solr.FileExchangeRateProvider is the default and takes one parameter: 
          currencyConfig: name of an xml file holding exchange rates 
          solr.OpenExchangeRatesOrgProvider uses rates from openexchangerates.org: 
          ratesFileLocation: URL or path to rates JSON file (default latest.json on the web) 
          refreshInterval: Number of minutes between each rates fetch (default: 1440, min: 60) 
    --> 
    <fieldType name="currency" class="solr.CurrencyField" precisionStep="8" defaultCurrency="USD" currencyConfig="currency.xml" /> 

</schema> 

正如你可以看到我已經領域定義與請求的屬性,我有fieldType長期定義。我究竟做錯了什麼?

+0

你用來創建核心的命令是什麼?也許它不使用這個模式並使用其他模式。 – Riya

回答

1

我試着用你的schema.xml創建一個Solr核心,並且工作得很好。

我已經創建了一個github上的項目,只要嘗試克隆它

git clone https://github.com/freedev/mailstore 

,並創建該郵件存儲配置的新核心。

bin/solr create -c mailstore -d /path/to/github/mailstore/conf 
+0

謝謝。我試圖在UI的核心管理菜單中創建核心。當我嘗試通過命令行使用文件創建核心時,出現錯誤,指出在c:\ solr \ server \ solr \ configsets中找不到指定的配置目錄(即.. \ mailstore \ conf)。我應該補充一點,我正在使用windoze(正如你可以從路徑中看出的那樣)。 – Steve

+0

確實如此,它說核心'郵件存儲'已經存在!但它並未顯示在UI的核心管理員中。用戶界面是否可靠? – Steve

+0

我應該補充一點,我停下來重新啓動服務器,並得到相同的結果。 – Steve