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About Bhagvan Kommadi

Bhagvan Kommadi is the Founder of Architect Corner & has around 20 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product start-ups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is member of IFX forum,Oracle JCP and participant in Java Community Process. He founded Quantica Computacao, the first quantum computing startup in India. Markets and Markets have positioned Quantica Computacao in ‘Emerging Companies’ section of Quantum Computing quadrants. Bhagvan has engineered and developed simulators and tools in the area of quantum technology using IBM Q, Microsoft Q# and Google QScript. He has reviewed the Manning book titled : "Machine Learning with TensorFlow”. He is also the author of Packt Publishing book - "Hands-On Data Structures and Algorithms with Go".He is member of IFX forum,Oracle JCP and participant in Java Community Process. He is member of the MIT Technology Review Global Panel.

Apache Solr Geospatial Search Example

This is an article related to the Apache Solr GeoSpatial Search. Generally, Apache Solr is used for search and browsing categories and facets. Solr can be used to sort the documents by distance from geolocation.

1. Introduction

Apache Solr is an open-source software java search engine. It is scalable and can process a high volume of data. It is used to index the content and search a huge amount of content. It is a popular search engine. It is used as a document-based NoSQL data source. It can be also used as a key-value store. Solr has JSON, XML, and HTTP REST API.

2.1 Prerequisites

Java 7 or 8 is required on the Linux, windows, or Mac operating system. Apache Solr 4.7.0 is required for this example.

2.2 Download

You can download Java 8 can be downloaded from the Oracle website. Apache Solr’s latest releases are available from the Apache Solr website.

2.3 Setup

You can set the environment variables for JAVA_HOME and PATH. They can be set as shown below:

Setup
JAVA_HOME="/desktop/jdk1.8.0_73"
export JAVA_HOME
PATH=$JAVA_HOME/bin:$PATH
export PATH

2.4 How to download and install Apache Solr

Apache Solr’s latest releases are available from the Apache Solr website. After downloading the zip file can be extracted to a folder.

To start the Apache Solr, you can use the command below:

Solr start command
bin/solr start

The output of the above command is shown below:

Solr start command output
apples-MacBook-Air:solr-8.8.2 bhagvan.kommadi$ bin/solr start
*** [WARN] *** Your open file limit is currently 2560.  
 It should be set to 65000 to avoid operational disruption. 
 If you no longer wish to see this warning, set SOLR_ULIMIT_CHECKS to false in your profile or solr.in.sh
*** [WARN] ***  Your Max Processes Limit is currently 1392. 
 It should be set to 65000 to avoid operational disruption. 
 If you no longer wish to see this warning, set SOLR_ULIMIT_CHECKS to false in your profile or solr.in.sh
Waiting up to 180 seconds to see Solr running on port 8983 [-]  
Started Solr server on port 8983 (pid=3054). Happy searching!

You can access the Solr application from the browse at : http://localhost:8983/solr/. The screenshot below shows the Solr application.

Solr Geospatial - solr app
Solr Application

2.5 Apache Solr

Apache Solr merged into Lucene around 2010. Lucene was created by Doug Cutting in 1999. Solr was developed by Yonik Seeley at CNET. Solr had a cloud feature released in 4.0. Solr 6.0 supported parallel SQL queries. Solr is based on Lucene. It has REST API support. It has an inverted index feature to get documents for a query using the search word. The search word is entered by the user to link the documents to the word. Solr has the features such as support for XML/JSON/HTTP, recommendations, automatic load balancing, spell suggestions, autocompletion, geospatial search, authentication, authorization, multilingual keyword search, type ahead prediction, batch processing, streaming, machine learning models, high volume web traffic support, schema, schemaless configuration, faceted search, filtering, and cluster configuration.

2.6 Apache Solr – Geospatial Search Example

In Solr, you can define location-based types in the model and this is called geospatial search. Let us implement the geospatial index for store using location type. Let us look at the schema file below for more details.solr configuration

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


<schema name="example" version="1.5">
 
   <field name="_version_" type="long" indexed="true" stored="true"/>
   
   <!-- points to the root document of a block of nested documents. Required for nested
      document support, may be removed otherwise
   -->
   <field name="_root_" type="string" indexed="true" stored="false"/>

   <!-- Only remove the "id" field if you have a very good reason to. While not strictly
     required, it is highly recommended. A <uniqueKey> is present in almost all Solr 
     installations. See the <uniqueKey> declaration below where <uniqueKey> is set to "id".
   -->   
   <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> 
        
   <field name="sku" type="text_en_splitting_tight" indexed="true" stored="true" omitNorms="true"/>
   <field name="name" type="text_general" indexed="true" stored="true"/>
   <field name="manu" type="text_general" indexed="true" stored="true" omitNorms="true"/>
   <field name="cat" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="features" type="text_general" indexed="true" stored="true" multiValued="true"/>
   <field name="includes" type="text_general" 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" />

   <field name="store" type="location_rpt" indexed="true" stored="true" multiValued="true" />
   <field name="store_hash" type="geohash" indexed="true" stored="true" multiValued="true" />

   <!-- Common metadata fields, named specifically to match up with
     SolrCell metadata when parsing rich documents such as Word, PDF.
     Some fields are multiValued only because Tika currently may return
     multiple values for them. Some metadata is parsed from the documents,
     but there are some which come from the client context:
       "content_type": From the HTTP headers of incoming stream
       "resourcename": From SolrCell request param resource.name
   -->
   <field name="title" type="text_general" indexed="true" stored="true" multiValued="true"/>
   <field name="subject" type="text_general" indexed="true" stored="true"/>
   <field name="description" type="text_general" indexed="true" stored="true"/>
   <field name="comments" type="text_general" indexed="true" stored="true"/>
   <field name="author" type="text_general" indexed="true" stored="true"/>
   <field name="keywords" type="text_general" indexed="true" stored="true"/>
   <field name="category" type="text_general" indexed="true" stored="true"/>
   <field name="resourcename" type="text_general" indexed="true" stored="true"/>
   <field name="url" type="text_general" indexed="true" stored="true"/>
   <field name="content_type" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="last_modified" type="date" indexed="true" stored="true"/>
   <field name="links" type="string" indexed="true" stored="true" multiValued="true"/>

   <!-- Main body of document extracted by SolrCell.
        NOTE: This field is not indexed by default, since it is also copied to "text"
        using copyField below. This is to save space. Use this field for returning and
        highlighting document content. Use the "text" field to search the content. -->
   <field name="content" type="text_general" indexed="false" stored="true" multiValued="true"/>
   

   <!-- catchall field, containing all other searchable text fields (implemented
        via copyField further on in this schema  -->
   <field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>

   <!-- catchall text field that indexes tokens both normally and in reverse for efficient
        leading wildcard queries. -->
   <field name="text_rev" type="text_general_rev" indexed="true" stored="false" multiValued="true"/>

   <!-- non-tokenized version of manufacturer to make it easier to sort or group
        results by manufacturer.  copied from "manu" via copyField -->
   <field name="manu_exact" type="string" indexed="true" stored="false"/>

   <field name="payloads" type="payloads" indexed="true" stored="true"/>


   <!--
     Some fields such as popularity and manu_exact could be modified to
     leverage doc values:
     <field name="popularity" type="int" indexed="true" stored="true" docValues="true" />
     <field name="manu_exact" type="string" indexed="false" stored="false" docValues="true" />
     <field name="cat" type="string" indexed="true" stored="true" docValues="true" multiValued="true"/>


     Although it would make indexing slightly slower and the index bigger, it
     would also make the index faster to load, more memory-efficient and more
     NRT-friendly.
     -->

   <!-- 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" />

   <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>

 <!-- DEPRECATED: The defaultSearchField is consulted by various query parsers when
  parsing a query string that isn't explicit about the field.  Machine (non-user)
  generated queries are best made explicit, or they can use the "df" request parameter
  which takes precedence over this.
  Note: Un-commenting defaultSearchField will be insufficient if your request handler
  in solrconfig.xml defines "df", which takes precedence. That would need to be removed.
 <defaultSearchField>text</defaultSearchField> -->

 <!-- DEPRECATED: The defaultOperator (AND|OR) is consulted by various query parsers
  when parsing a query string to determine if a clause of the query should be marked as
  required or optional, assuming the clause isn't already marked by some operator.
  The default is OR, which is generally assumed so it is not a good idea to change it
  globally here.  The "q.op" request parameter takes precedence over this.
 <solrQueryParser defaultOperator="OR"/> -->

  <!-- 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="cat" dest="text"/>
   <copyField source="name" dest="text"/>
   <copyField source="manu" dest="text"/>
   <copyField source="features" dest="text"/>
   <copyField source="includes" dest="text"/>
   <copyField source="manu" dest="manu_exact"/>

   <!-- Copy the price into a currency enabled field (default USD) -->
   <copyField source="price" dest="price_c"/>

   <!-- Text fields from SolrCell to search by default in our catch-all field -->
   <copyField source="title" dest="text"/>
   <copyField source="author" dest="text"/>
   <copyField source="description" dest="text"/>
   <copyField source="keywords" dest="text"/>
   <copyField source="content" dest="text"/>
   <copyField source="content_type" dest="text"/>
   <copyField source="resourcename" dest="text"/>
   <copyField source="url" dest="text"/>

   <!-- Create a string version of author for faceting -->
   <copyField source="author" dest="author_s"/>
	
   <!-- Above, multiple source fields are copied to the  field. 
	  Another way to map multiple source fields to the same 
	  destination field is to use the dynamic field syntax. 
	  copyField also supports a maxChars to copy setting.  -->
	   
   <!-- <copyField source="*_t" dest="text" maxChars="3000"/> -->

   <!-- copy name to alphaNameSort, a field designed for sorting by name -->
   <!-- <copyField source="name" dest="alphaNameSort"/> -->
 
  
    <!-- 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
    -->

    <!-- define geohash field type -->
    <fieldtype name="geohash" class="solr.GeoHashField"/>

    <!-- 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" />

    <!-- 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" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="double" class="solr.TrieDoubleField" 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" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tdouble" class="solr.TrieDoubleField" 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 DateField javadocs for more information.

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

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


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

    <!--
      Note:
      These should only be used for compatibility with existing indexes (created with lucene or older Solr versions).
      Use Trie based fields instead. As of Solr 3.5 and 4.x, Trie based fields support sortMissingFirst/Last

      Plain numeric field types that store and index the text
      value verbatim (and hence don't correctly support range queries, since the
      lexicographic ordering isn't equal to the numeric ordering)

      NOTE: These field types are deprecated will be removed in Solr 5.0!
    -->
    <fieldType name="pint" class="solr.IntField"/>
    <fieldType name="plong" class="solr.LongField"/>
    <fieldType name="pfloat" class="solr.FloatField"/>
    <fieldType name="pdouble" class="solr.DoubleField"/>
    <fieldType name="pdate" class="solr.DateField" sortMissingLast="true"/>

    <!-- 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 text type for English text where stopwords and synonyms are managed using the REST API -->
    <fieldType name="managed_en" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.ManagedStopFilterFactory" managed="english" />
        <filter class="solr.ManagedSynonymFilterFactory" managed="english" />
      </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>

    <!-- charFilter + WhitespaceTokenizer  -->
    <!--
    <fieldType name="text_char_norm" class="solr.TextField" positionIncrementGap="100" >
      <analyzer>
        <charFilter class="solr.MappingCharFilterFactory" mapping="mapping-ISOLatin1Accent.txt"/>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
      </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>
    
    <fieldtype name="phonetic" stored="false" indexed="true" class="solr.TextField" >
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/>
      </analyzer>
    </fieldtype>

    <fieldtype name="payloads" stored="false" indexed="true" class="solr.TextField" >
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <!--
        The DelimitedPayloadTokenFilter can put payloads on tokens... for example,
        a token of "foo|1.4"  would be indexed as "foo" with a payload of 1.4f
        Attributes of the DelimitedPayloadTokenFilterFactory : 
         "delimiter" - a one character delimiter. Default is | (pipe)
	 "encoder" - how to encode the following value into a playload
	    float -> org.apache.lucene.analysis.payloads.FloatEncoder,
	    integer -> o.a.l.a.p.IntegerEncoder
	    identity -> o.a.l.a.p.IdentityEncoder
            Fully Qualified class name implementing PayloadEncoder, Encoder must have a no arg constructor.
         -->
        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/>
      </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>

    <!-- 
      Example of using PathHierarchyTokenizerFactory at index time, so
      queries for paths match documents at that path, or in descendent paths
    -->
    <fieldType name="descendent_path" class="solr.TextField">
      <analyzer type="index">
	<tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/" />
      </analyzer>
      <analyzer type="query">
	<tokenizer class="solr.KeywordTokenizerFactory" />
      </analyzer>
    </fieldType>
    <!-- 
      Example of using PathHierarchyTokenizerFactory at query time, so
      queries for paths match documents at that path, or in ancestor paths
    -->
    <fieldType name="ancestor_path" class="solr.TextField">
      <analyzer type="index">
	<tokenizer class="solr.KeywordTokenizerFactory" />
      </analyzer>
      <analyzer type="query">
	<tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/" />
      </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" 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"
        spatialContextFactory="com.spatial4j.core.context.jts.JtsSpatialContextFactory"
        autoIndex="true"
        geo="true" 
        distErrPct="0.025" 
        maxDistErr="0.000009" 
        units="degrees" />

    <!-- Define BBoxFieldType in Solr -->
    <!--
    <field name="bbox" type="bbox" />
    <fieldType name="bbox" class="solr.BBoxField"
        geo="true" units="degrees" numberType="_bbox_coord" />
    <fieldType name="_bbox_coord" class="solr.TrieDoubleField" precisionStep="8" docValues="true" 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" />
             


   <!-- some examples for different languages (generally ordered by ISO code) -->

    <!-- Arabic -->
    <fieldType name="text_ar" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- for any non-arabic -->
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ar.txt" />
        <!-- normalizes ﻯ to ﻱ, etc -->
        <filter class="solr.ArabicNormalizationFilterFactory"/>
        <filter class="solr.ArabicStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Bulgarian -->
    <fieldType name="text_bg" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/> 
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_bg.txt" /> 
        <filter class="solr.BulgarianStemFilterFactory"/>       
      </analyzer>
    </fieldType>
    
    <!-- Catalan -->
    <fieldType name="text_ca" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ca.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ca.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Catalan"/>       
      </analyzer>
    </fieldType>
    
    <!-- CJK bigram (see text_ja for a Japanese configuration using morphological analysis) -->
    <fieldType name="text_cjk" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- normalize width before bigram, as e.g. half-width dakuten combine  -->
        <filter class="solr.CJKWidthFilterFactory"/>
        <!-- for any non-CJK -->
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.CJKBigramFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Kurdish -->
    <fieldType name="text_ckb" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SoraniNormalizationFilterFactory"/>
        <!-- for any latin text -->
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ckb.txt"/>
        <filter class="solr.SoraniStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Czech -->
    <fieldType name="text_cz" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_cz.txt" />
        <filter class="solr.CzechStemFilterFactory"/>       
      </analyzer>
    </fieldType>
    
    <!-- Danish -->
    <fieldType name="text_da" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_da.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Danish"/>       
      </analyzer>
    </fieldType>
    
    <!-- German -->
    <fieldType name="text_de" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_de.txt" format="snowball" />
        <filter class="solr.GermanNormalizationFilterFactory"/>
        <filter class="solr.GermanLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.GermanMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="German2"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Greek -->
    <fieldType name="text_el" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- greek specific lowercase for sigma -->
        <filter class="solr.GreekLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt" />
        <filter class="solr.GreekStemFilterFactory"/>
      </analyzer>
    </fieldType>
    
    <!-- Spanish -->
    <fieldType name="text_es" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_es.txt" format="snowball" />
        <filter class="solr.SpanishLightStemFilterFactory"/>
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Spanish"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Basque -->
    <fieldType name="text_eu" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_eu.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Basque"/>
      </analyzer>
    </fieldType>
    
    <!-- Persian -->
    <fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <!-- for ZWNJ -->
        <charFilter class="solr.PersianCharFilterFactory"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.ArabicNormalizationFilterFactory"/>
        <filter class="solr.PersianNormalizationFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fa.txt" />
      </analyzer>
    </fieldType>
    
    <!-- Finnish -->
    <fieldType name="text_fi" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fi.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Finnish"/>
        <!-- less aggressive: <filter class="solr.FinnishLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>
    
    <!-- French -->
    <fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_fr.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fr.txt" format="snowball" />
        <filter class="solr.FrenchLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.FrenchMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="French"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Irish -->
    <fieldType name="text_ga" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes d', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ga.txt"/>
        <!-- removes n-, etc. position increments is intentionally false! -->
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/hyphenations_ga.txt"/>
        <filter class="solr.IrishLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ga.txt"/>
        <filter class="solr.SnowballPorterFilterFactory" language="Irish"/>
      </analyzer>
    </fieldType>
    
    <!-- Galician -->
    <fieldType name="text_gl" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_gl.txt" />
        <filter class="solr.GalicianStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.GalicianMinimalStemFilterFactory"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Hindi -->
    <fieldType name="text_hi" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <!-- normalizes unicode representation -->
        <filter class="solr.IndicNormalizationFilterFactory"/>
        <!-- normalizes variation in spelling -->
        <filter class="solr.HindiNormalizationFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hi.txt" />
        <filter class="solr.HindiStemFilterFactory"/>
      </analyzer>
    </fieldType>
    
    <!-- Hungarian -->
    <fieldType name="text_hu" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hu.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Hungarian"/>
        <!-- less aggressive: <filter class="solr.HungarianLightStemFilterFactory"/> -->   
      </analyzer>
    </fieldType>
    
    <!-- Armenian -->
    <fieldType name="text_hy" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hy.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Armenian"/>
      </analyzer>
    </fieldType>
    
    <!-- Indonesian -->
    <fieldType name="text_id" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_id.txt" />
        <!-- for a less aggressive approach (only inflectional suffixes), set stemDerivational to false -->
        <filter class="solr.IndonesianStemFilterFactory" stemDerivational="true"/>
      </analyzer>
    </fieldType>
    
    <!-- Italian -->
    <fieldType name="text_it" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_it.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_it.txt" format="snowball" />
        <filter class="solr.ItalianLightStemFilterFactory"/>
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Italian"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Japanese using morphological analysis (see text_cjk for a configuration using bigramming)

         NOTE: If you want to optimize search for precision, use default operator AND in your query
         parser config with <solrQueryParser defaultOperator="AND"/> further down in this file.  Use 
         OR if you would like to optimize for recall (default).
    -->
    <fieldType name="text_ja" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="false">
      <analyzer>
      <!-- Kuromoji Japanese morphological analyzer/tokenizer (JapaneseTokenizer)

           Kuromoji has a search mode (default) that does segmentation useful for search.  A heuristic
           is used to segment compounds into its parts and the compound itself is kept as synonym.

           Valid values for attribute mode are:
              normal: regular segmentation
              search: segmentation useful for search with synonyms compounds (default)
            extended: same as search mode, but unigrams unknown words (experimental)

           For some applications it might be good to use search mode for indexing and normal mode for
           queries to reduce recall and prevent parts of compounds from being matched and highlighted.
           Use <analyzer type="index"> and <analyzer type="query"> for this and mode normal in query.

           Kuromoji also has a convenient user dictionary feature that allows overriding the statistical
           model with your own entries for segmentation, part-of-speech tags and readings without a need
           to specify weights.  Notice that user dictionaries have not been subject to extensive testing.

           User dictionary attributes are:
                     userDictionary: user dictionary filename
             userDictionaryEncoding: user dictionary encoding (default is UTF-8)

           See lang/userdict_ja.txt for a sample user dictionary file.

           Punctuation characters are discarded by default.  Use discardPunctuation="false" to keep them.

           See http://wiki.apache.org/solr/JapaneseLanguageSupport for more on Japanese language support.
        -->
        <tokenizer class="solr.JapaneseTokenizerFactory" mode="search"/>
        <!--<tokenizer class="solr.JapaneseTokenizerFactory" mode="search" userDictionary="lang/userdict_ja.txt"/>-->
        <!-- Reduces inflected verbs and adjectives to their base/dictionary forms (辞書形) -->
        <filter class="solr.JapaneseBaseFormFilterFactory"/>
        <!-- Removes tokens with certain part-of-speech tags -->
        <filter class="solr.JapanesePartOfSpeechStopFilterFactory" tags="lang/stoptags_ja.txt" />
        <!-- Normalizes full-width romaji to half-width and half-width kana to full-width (Unicode NFKC subset) -->
        <filter class="solr.CJKWidthFilterFactory"/>
        <!-- Removes common tokens typically not useful for search, but have a negative effect on ranking -->
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ja.txt" />
        <!-- Normalizes common katakana spelling variations by removing any last long sound character (U+30FC) -->
        <filter class="solr.JapaneseKatakanaStemFilterFactory" minimumLength="4"/>
        <!-- Lower-cases romaji characters -->
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>
    
    <!-- Latvian -->
    <fieldType name="text_lv" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_lv.txt" />
        <filter class="solr.LatvianStemFilterFactory"/>
      </analyzer>
    </fieldType>
    
    <!-- Dutch -->
    <fieldType name="text_nl" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_nl.txt" format="snowball" />
        <filter class="solr.StemmerOverrideFilterFactory" dictionary="lang/stemdict_nl.txt" ignoreCase="false"/>
        <filter class="solr.SnowballPorterFilterFactory" language="Dutch"/>
      </analyzer>
    </fieldType>
    
    <!-- Norwegian -->
    <fieldType name="text_no" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_no.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>
        <!-- less aggressive: <filter class="solr.NorwegianLightStemFilterFactory" variant="nb"/> -->
        <!-- singular/plural: <filter class="solr.NorwegianMinimalStemFilterFactory" variant="nb"/> -->
        <!-- The "light" and "minimal" stemmers support variants: nb=Bokmål, nn=Nynorsk, no=Both -->
      </analyzer>
    </fieldType>
    
    <!-- Portuguese -->
    <fieldType name="text_pt" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" format="snowball" />
        <filter class="solr.PortugueseLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.PortugueseMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Portuguese"/> -->
        <!-- most aggressive: <filter class="solr.PortugueseStemFilterFactory"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Romanian -->
    <fieldType name="text_ro" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ro.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Romanian"/>
      </analyzer>
    </fieldType>
    
    <!-- Russian -->
    <fieldType name="text_ru" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ru.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Russian"/>
        <!-- less aggressive: <filter class="solr.RussianLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Swedish -->
    <fieldType name="text_sv" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_sv.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Swedish"/>
        <!-- less aggressive: <filter class="solr.SwedishLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>
    
    <!-- Thai -->
    <fieldType name="text_th" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.ThaiWordFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt" />
      </analyzer>
    </fieldType>
    
    <!-- Turkish -->
    <fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100">
      <analyzer> 
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.ApostropheFilterFactory"/>
        <filter class="solr.TurkishLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Turkish"/>
      </analyzer>
    </fieldType>
  
  <!-- Similarity is the scoring routine for each document vs. a query.
       A custom Similarity or SimilarityFactory may be specified here, but 
       the default is fine for most applications.  
       For more info: http://wiki.apache.org/solr/SchemaXml#Similarity
    -->
  <!--
     <similarity class="com.example.solr.CustomSimilarityFactory">
       <str name="paramkey">param value</str>
     </similarity>
    -->

</schema>

You can implement this by copying the directory example within solr installation and rename it as geospatial. Ensure that it is a deep copy of the directory. Within the directory, remove the unused directories like example-DIH, multicore,and example-schemaless. Remove the directories under the solr folder except for bin. You can copy the folders and files from the source code ($SOURCE_CODE) provided to solr. You can execute the commands below from the geospatial directorySolr initial setup

cd $SOLR_INSTALL
cp -R example geospatial
cd geospatial
rm -r example-DIH
rm -r multicore
cd solr
rm -r collection1
cp * $SOURCE_CODE/* .

Note that the core.properties is changed the name from collection to geospatial directory. You can restart Solr from geospatial folder by using the command below:Solr start command

cd $SOLR_INSTALL/geospatial
java -jar start.jar

The output of the command is shown below:Solr start output

apples-MacBook-Air:geospatial bhagvan.kommadi$ java -jar start.jar
0    [main] INFO  org.eclipse.jetty.server.Server  – jetty-8.1.10.v20130312
31   [main] INFO  org.eclipse.jetty.deploy.providers.ScanningAppProvider  – Deployment monitor /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/contexts at interval 0
41   [main] INFO  org.eclipse.jetty.deploy.DeploymentManager  – Deployable added: /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/contexts/solr-jetty-context.xml
1353 [main] INFO  org.eclipse.jetty.webapp.StandardDescriptorProcessor  – NO JSP Support for /solr, did not find org.apache.jasper.servlet.JspServlet
1520 [main] INFO  org.apache.solr.servlet.SolrDispatchFilter  – SolrDispatchFilter.init()
1555 [main] INFO  org.apache.solr.core.SolrResourceLoader  – JNDI not configured for solr (NoInitialContextEx)
1557 [main] INFO  org.apache.solr.core.SolrResourceLoader  – solr home defaulted to 'solr/' (could not find system property or JNDI)
1559 [main] INFO  org.apache.solr.core.SolrResourceLoader  – new SolrResourceLoader for directory: 'solr/'
1716 [main] INFO  org.apache.solr.core.ConfigSolr  – Loading container configuration from /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/solr.xml
1923 [main] INFO  org.apache.solr.core.CoresLocator  – Config-defined core root directory: /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr
1941 [main] INFO  org.apache.solr.core.CoreContainer  – New CoreContainer 812586739
1942 [main] INFO  org.apache.solr.core.CoreContainer  – Loading cores into CoreContainer [instanceDir=solr/]
1965 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting socketTimeout to: 0
1967 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting urlScheme to: null
1973 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting connTimeout to: 0
1974 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting maxConnectionsPerHost to: 20
1978 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting corePoolSize to: 0
1980 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting maximumPoolSize to: 2147483647
1981 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting maxThreadIdleTime to: 5
1983 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting sizeOfQueue to: -1
1984 [main] INFO  org.apache.solr.handler.component.HttpShardHandlerFactory  – Setting fairnessPolicy to: false
2578 [main] INFO  org.apache.solr.logging.LogWatcher  – SLF4J impl is org.slf4j.impl.Log4jLoggerFactory
2580 [main] INFO  org.apache.solr.logging.LogWatcher  – Registering Log Listener [Log4j (org.slf4j.impl.Log4jLoggerFactory)]
2583 [main] INFO  org.apache.solr.core.CoreContainer  – Host Name: 
2909 [main] INFO  org.apache.solr.core.CoresLocator  – Looking for core definitions underneath /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr
2925 [main] INFO  org.apache.solr.core.CoresLocator  – Found core geospatial in /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/
2925 [main] INFO  org.apache.solr.core.CoresLocator  – Found 1 core definitions
2929 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.CoreContainer  – Creating SolrCore 'geospatial' using instanceDir: /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial
2930 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrResourceLoader  – new SolrResourceLoader for directory: '/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/'
3021 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrConfig  – Using Lucene MatchVersion: LUCENE_47
3141 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.Config  – Loaded SolrConfig: solrconfig.xml
3157 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.schema.IndexSchema  – Reading Solr Schema from schema.xml
3286 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.schema.IndexSchema  – [geospatial] Schema name=example
3917 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.schema.IndexSchema  – unique key field: id
4103 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – solr.StandardDirectoryFactory
4109 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – [geospatial] Opening new SolrCore at /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/, dataDir=/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/
4109 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – JMX monitoring not detected for core: geospatial
4121 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.CachingDirectoryFactory  – return new directory for /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data
4122 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – New index directory detected: old=null new=/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/index/
4123 [coreLoadExecutor-4-thread-1] WARN  org.apache.solr.core.SolrCore  – [geospatial] Solr index directory '/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/index' doesn't exist. Creating new index...
4136 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.CachingDirectoryFactory  – return new directory for /Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/index
4254 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – SolrDeletionPolicy.onCommit: commits: num=1
	commit{dir=/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/index,segFN=segments_1,generation=1}
4254 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – newest commit generation = 1
4309 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – no updateRequestProcessorChain defined as default, creating implicit default
4315 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /get: solr.RealTimeGetHandler
4315 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – adding lazy requestHandler: solr.ReplicationHandler
4316 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /replication: solr.ReplicationHandler
4317 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created standard: solr.StandardRequestHandler
4318 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – adding lazy requestHandler: solr.FieldAnalysisRequestHandler
4318 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /analysis/field: solr.FieldAnalysisRequestHandler
4320 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /update: solr.UpdateRequestHandler
4321 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /admin/: org.apache.solr.handler.admin.AdminHandlers
4323 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.RequestHandlers  – created /admin/ping: solr.PingRequestHandler
4341 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.handler.loader.XMLLoader  – xsltCacheLifetimeSeconds=60
4376 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – Hard AutoCommit: disabled
4377 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – Soft AutoCommit: disabled
4387 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – SolrDeletionPolicy.onInit: commits: num=1
	commit{dir=/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial/solr/geospatial/data/index,segFN=segments_1,generation=1}
4388 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.SolrCore  – newest commit generation = 1
4403 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.search.SolrIndexSearcher  – Opening Searcher@53637d19[geospatial] main
4446 [searcherExecutor-5-thread-1] INFO  org.apache.solr.core.SolrCore  – [geospatial] Registered new searcher Searcher@53637d19[geospatial] main{StandardDirectoryReader(segments_1:1:nrt)}
4447 [coreLoadExecutor-4-thread-1] INFO  org.apache.solr.core.CoreContainer  – registering core: geospatial
4449 [main] INFO  org.apache.solr.servlet.SolrDispatchFilter  – user.dir=/Users/bhagvan.kommadi/Desktop/solr-4.7.0/geospatial
4450 [main] INFO  org.apache.solr.servlet.SolrDispatchFilter  – SolrDispatchFilter.init() done
4539 [main] INFO  org.eclipse.jetty.server.AbstractConnector  – Started SocketConnector@0.0.0.0:8983 

You can post the geospatial_test file (provided in the source code) from $SOLR_INSTALL/example/exampledocs using the command below.posting geospatial files to solr

apples-MacBook-Air:exampledocs bhagvan.kommadi$ java -Durl=http://localhost:8983/solr/geospatial/update -jar -Dtype=text/csv post.jar /Users/bhagvan.kommadi/desktop/JavacodeGeeks/code/apachesolgeospatial/geospatial_test.csv 
SimplePostTool version 1.5
Posting files to base url http://localhost:8983/solr/geospatial/update using content-type text/csv..
POSTing file geospatial_test.csv
1 files indexed.
COMMITting Solr index changes to http://localhost:8983/solr/geospatial/update..
Time spent: 0:00:00.398

You can launch the browser pointing to http://localhost:8983/solr/. The screenshot below shows the query results in geospatial core – stores which are near the location – 28.643059, 77.368885 and 10 km from this location. The query used below is :

http://localhost:8983/solr/geospatial/select/?q=*:*&fq={!geofilt pt=28.643059,77.368885 sfield=store d=10}
Solr Geospatial - query results
Geospatial: Query results

You can change the distance from 10 to 30 and query solr again. The results are shown below. The query executed below is : http://localhost:8983/solr/geospatial/select/?q=*:*&fq={!geofilt pt=28.643059,77.368885 sfield=store d=30}

Solr Geospatial - distance changed
Geospatial: Query results (distance changed)

3. Download the Source Code

Download
You can download the full source code of this example here: Apache Solr Geospatial Search Example

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