solr配置文件之schema.xml

以下是针对schema.xml 配置文件的剖析：

1. <types></types>这个标签和它的意义一样，是用来表示数据有哪些类型，这些类型当然是solr内部定义的类型和自定义类型。

2. <!-- The StrField type is not analyzed, but indexed/stored verbatim. -->

和他上面解释一样，string类型是不分词的，要建索引，要存储

<fieldType name="string" class="solr.StrField" sortMissingLast="true" omitNorms="true"/>

3.数值类型，有如下几个类型是默认数值类型，如果想用于排序请用 tint/tfloat/tlong/tdouble类型

<!--
Default numeric field types. For faster range queries, consider the tint/tfloat/tlong/tdouble types.
-->
<fieldType name="int" class="solr.TrieIntField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>
<fieldType name="float" class="solr.TrieFloatField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>
<fieldType name="long" class="solr.TrieLongField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>

<fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>

<fieldType name="tint" class="solr.TrieIntField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>
<fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>
<fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>
<fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>

4.时间类型：如果想用于快速排序查询，用tdate（看到这里我的排序没用tdate，得改啊。。）

Note: For faster range queries, consider the tdate type

<fieldType name="date" class="solr.TrieDateField" omitNorms="true" precisionStep="0" positionIncrementGap="0"/>

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

5.专门用于分词的字段。在里面包含了定义使用什么分词器，可以手工定制。

<fieldType name="text" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">

<!--建索引用到的分词器，我用的是IKTokenizerFactory，中文分词-->

<analyzer type="index">
<!--<tokenizer class="solr.WhitespaceTokenizerFactory"/>-->
<tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>
<!-- 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.
add enablePositionIncrements=true in both the index and query
analyzers to leave a 'gap' for more accurate phrase queries.
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<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"/>-->
<tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<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>

<!--查询用到的分词器IKTokenizerFactory，为了支持中文查询，这是必须的。-->

<analyzer type="query">
<!-- <tokenizer class="solr.WhitespaceTokenizerFactory"/>-->
<tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<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>

其他几个类别都是不常用的，也是通过分词器来定义不同的类别。和第五个类似。

6.索引字段名称定义。

<fields>
<!-- Valid attributes for fields:
name: mandatory - the name for the field
type: mandatory - the name of a previously defined type from the
<types> section
indexed: true if this field should be indexed (searchable or sortable)
stored: true if this field should be retrievable
multiValued: true if this field may contain multiple values per document
omitNorms: (expert) set to true to omit the norms associated with
this field (this disables length normalization and index-time
boosting for the field, and saves some memory). Only full-text
fields or fields that need an index-time boost need norms.
termVectors: [false] set to true to store the term vector for a
given field.
When using MoreLikeThis, fields used for similarity should be
stored for best performance.
termPositions: Store position information with the term vector.
This will increase storage costs.
termOffsets: Store offset information with the term vector. This
will increase storage costs.
default: a value that should be used if no value is specified
when adding a document.
-->

<field name="id" type="string" indexed="true" stored="true" required="true" />
<field name="sku" type="textTight" indexed="true" stored="true" omitNorms="true"/>
<!-- <field name="name" type="textgen" indexed="true" stored="true"/>-->
<field name="alphaNameSort" type="alphaOnlySort" indexed="true" stored="false"/>
<field name="manu" type="textgen" indexed="true" stored="true" omitNorms="true"/>
<field name="cat" type="string" indexed="true" stored="true" multiValued="true"/>
<field name="features" type="text" indexed="true" stored="true" multiValued="true"/>
<field name="includes" type="text" indexed="true" stored="true" termVectors="true" termPositions="true" termOffsets="true" />

<field name="weight" type="float" indexed="true" stored="true"/>
<!-- <field name="price" type="float" indexed="true" stored="true"/>-->
<field name="popularity" type="int" indexed="true" stored="true" />
<field name="inStock" type="boolean" indexed="true" stored="true" />
</fields>

id：是索引字段的唯一标识。

termVectors="true"属性主要用于相关搜索。

multiValued="true"属性，一般用于多个字段组成一个字段的情况。

<field name="content_type" type="text" indexed="true" stored="true" multiValued="true"/>

一般用于查询的字段定义为multiValued。

7. <dynamicField name="*_i" type="int" indexed="true" stored="true"/>表示动态字段，暂时没用到。