jayeshcp
11/10/2014 - 11:02 AM
Importing/Indexing database (MySQL or SQL Server) in Solr using Data Import Handler
Importing/Indexing database (MySQL or SQL Server) in Solr using Data Import Handler
<?xml version="1.0" encoding="UTF-8" ?>
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limitations under the License.
-->
<!--
For more details about configurations options that may appear in
this file, see http://wiki.apache.org/solr/SolrConfigXml.
-->
<config>
<!-- In all configuration below, a prefix of "solr." for class names
is an alias that causes solr to search appropriate packages,
including org.apache.solr.(search|update|request|core|analysis)
You may also specify a fully qualified Java classname if you
have your own custom plugins.
-->
<!-- Controls what version of Lucene various components of Solr
adhere to. Generally, you want to use the latest version to
get all bug fixes and improvements. It is highly recommended
that you fully re-index after changing this setting as it can
affect both how text is indexed and queried.
-->
<luceneMatchVersion>4.10.2</luceneMatchVersion>
<!-- <lib/> directives can be used to instruct Solr to load any Jars
identified and use them to resolve any "plugins" specified in
your solrconfig.xml or schema.xml (ie: Analyzers, Request
Handlers, etc...).
All directories and paths are resolved relative to the
instanceDir.
Please note that <lib/> directives are processed in the order
that they appear in your solrconfig.xml file, and are "stacked"
on top of each other when building a ClassLoader - so if you have
plugin jars with dependencies on other jars, the "lower level"
dependency jars should be loaded first.
If a "./lib" directory exists in your instanceDir, all files
found in it are included as if you had used the following
syntax...
<lib dir="./lib" />
-->
<!-- A 'dir' option by itself adds any files found in the directory
to the classpath, this is useful for including all jars in a
directory.
When a 'regex' is specified in addition to a 'dir', only the
files in that directory which completely match the regex
(anchored on both ends) will be included.
If a 'dir' option (with or without a regex) is used and nothing
is found that matches, a warning will be logged.
The examples below can be used to load some solr-contribs along
with their external dependencies.
-->
<lib dir="../../contrib/extraction/lib" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-cell-\d.*\.jar" />
<lib dir="../../contrib/clustering/lib/" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-clustering-\d.*\.jar" />
<lib dir="../../contrib/langid/lib/" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-langid-\d.*\.jar" />
<lib dir="../../contrib/velocity/lib" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-velocity-\d.*\.jar" />
<lib dir="../../contrib/dataimporthandler/lib" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-dataimporthandler-.*\.jar" />
<!-- an exact 'path' can be used instead of a 'dir' to specify a
specific jar file. This will cause a serious error to be logged
if it can't be loaded.
-->
<!--
<lib path="../a-jar-that-does-not-exist.jar" />
-->
<!-- Data Directory
Used to specify an alternate directory to hold all index data
other than the default ./data under the Solr home. If
replication is in use, this should match the replication
configuration.
-->
<dataDir>${solr.data.dir:}</dataDir>
<!-- The DirectoryFactory to use for indexes.
solr.StandardDirectoryFactory is filesystem
based and tries to pick the best implementation for the current
JVM and platform. solr.NRTCachingDirectoryFactory, the default,
wraps solr.StandardDirectoryFactory and caches small files in memory
for better NRT performance.
One can force a particular implementation via solr.MMapDirectoryFactory,
solr.NIOFSDirectoryFactory, or solr.SimpleFSDirectoryFactory.
solr.RAMDirectoryFactory is memory based, not
persistent, and doesn't work with replication.
-->
<directoryFactory name="DirectoryFactory"
class="${solr.directoryFactory:solr.NRTCachingDirectoryFactory}">
<!-- These will be used if you are using the solr.HdfsDirectoryFactory,
otherwise they will be ignored. If you don't plan on using hdfs,
you can safely remove this section. -->
<!-- The root directory that collection data should be written to. -->
<str name="solr.hdfs.home">${solr.hdfs.home:}</str>
<!-- The hadoop configuration files to use for the hdfs client. -->
<str name="solr.hdfs.confdir">${solr.hdfs.confdir:}</str>
<!-- Enable/Disable the hdfs cache. -->
<str name="solr.hdfs.blockcache.enabled">${solr.hdfs.blockcache.enabled:true}</str>
<!-- Enable/Disable using one global cache for all SolrCores.
The settings used will be from the first HdfsDirectoryFactory created. -->
<str name="solr.hdfs.blockcache.global">${solr.hdfs.blockcache.global:true}</str>
</directoryFactory>
<!-- The CodecFactory for defining the format of the inverted index.
The default implementation is SchemaCodecFactory, which is the official Lucene
index format, but hooks into the schema to provide per-field customization of
the postings lists and per-document values in the fieldType element
(postingsFormat/docValuesFormat). Note that most of the alternative implementations
are experimental, so if you choose to customize the index format, its a good
idea to convert back to the official format e.g. via IndexWriter.addIndexes(IndexReader)
before upgrading to a newer version to avoid unnecessary reindexing.
-->
<codecFactory class="solr.SchemaCodecFactory"/>
<!-- To enable dynamic schema REST APIs, use the following for <schemaFactory>:
<schemaFactory class="ManagedIndexSchemaFactory">
<bool name="mutable">true</bool>
<str name="managedSchemaResourceName">managed-schema</str>
</schemaFactory>
When ManagedIndexSchemaFactory is specified, Solr will load the schema from
he resource named in 'managedSchemaResourceName', rather than from schema.xml.
Note that the managed schema resource CANNOT be named schema.xml. If the managed
schema does not exist, Solr will create it after reading schema.xml, then rename
'schema.xml' to 'schema.xml.bak'.
Do NOT hand edit the managed schema - external modifications will be ignored and
overwritten as a result of schema modification REST API calls.
When ManagedIndexSchemaFactory is specified with mutable = true, schema
modification REST API calls will be allowed; otherwise, error responses will be
sent back for these requests.
-->
<schemaFactory class="ClassicIndexSchemaFactory"/>
<!-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Index Config - These settings control low-level behavior of indexing
Most example settings here show the default value, but are commented
out, to more easily see where customizations have been made.
Note: This replaces <indexDefaults> and <mainIndex> from older versions
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -->
<indexConfig>
<!-- maxFieldLength was removed in 4.0. To get similar behavior, include a
LimitTokenCountFilterFactory in your fieldType definition. E.g.
<filter class="solr.LimitTokenCountFilterFactory" maxTokenCount="10000"/>
-->
<!-- Maximum time to wait for a write lock (ms) for an IndexWriter. Default: 1000 -->
<!-- <writeLockTimeout>1000</writeLockTimeout> -->
<!-- The maximum number of simultaneous threads that may be
indexing documents at once in IndexWriter; if more than this
many threads arrive they will wait for others to finish.
Default in Solr/Lucene is 8. -->
<!-- <maxIndexingThreads>8</maxIndexingThreads> -->
<!-- Expert: Enabling compound file will use less files for the index,
using fewer file descriptors on the expense of performance decrease.
Default in Lucene is "true". Default in Solr is "false" (since 3.6) -->
<!-- <useCompoundFile>false</useCompoundFile> -->
<!-- ramBufferSizeMB sets the amount of RAM that may be used by Lucene
indexing for buffering added documents and deletions before they are
flushed to the Directory.
maxBufferedDocs sets a limit on the number of documents buffered
before flushing.
If both ramBufferSizeMB and maxBufferedDocs is set, then
Lucene will flush based on whichever limit is hit first.
The default is 100 MB. -->
<!-- <ramBufferSizeMB>100</ramBufferSizeMB> -->
<!-- <maxBufferedDocs>1000</maxBufferedDocs> -->
<!-- Expert: Merge Policy
The Merge Policy in Lucene controls how merging of segments is done.
The default since Solr/Lucene 3.3 is TieredMergePolicy.
The default since Lucene 2.3 was the LogByteSizeMergePolicy,
Even older versions of Lucene used LogDocMergePolicy.
-->
<!--
<mergePolicy class="org.apache.lucene.index.TieredMergePolicy">
<int name="maxMergeAtOnce">10</int>
<int name="segmentsPerTier">10</int>
</mergePolicy>
-->
<!-- Merge Factor
The merge factor controls how many segments will get merged at a time.
For TieredMergePolicy, mergeFactor is a convenience parameter which
will set both MaxMergeAtOnce and SegmentsPerTier at once.
For LogByteSizeMergePolicy, mergeFactor decides how many new segments
will be allowed before they are merged into one.
Default is 10 for both merge policies.
-->
<!--
<mergeFactor>10</mergeFactor>
-->
<!-- Expert: Merge Scheduler
The Merge Scheduler in Lucene controls how merges are
performed. The ConcurrentMergeScheduler (Lucene 2.3 default)
can perform merges in the background using separate threads.
The SerialMergeScheduler (Lucene 2.2 default) does not.
-->
<!--
<mergeScheduler class="org.apache.lucene.index.ConcurrentMergeScheduler"/>
-->
<!-- LockFactory
This option specifies which Lucene LockFactory implementation
to use.
single = SingleInstanceLockFactory - suggested for a
read-only index or when there is no possibility of
another process trying to modify the index.
native = NativeFSLockFactory - uses OS native file locking.
Do not use when multiple solr webapps in the same
JVM are attempting to share a single index.
simple = SimpleFSLockFactory - uses a plain file for locking
Defaults: 'native' is default for Solr3.6 and later, otherwise
'simple' is the default
More details on the nuances of each LockFactory...
http://wiki.apache.org/lucene-java/AvailableLockFactories
-->
<lockType>${solr.lock.type:native}</lockType>
<!-- Unlock On Startup
If true, unlock any held write or commit locks on startup.
This defeats the locking mechanism that allows multiple
processes to safely access a lucene index, and should be used
with care. Default is "false".
This is not needed if lock type is 'single'
-->
<!--
<unlockOnStartup>false</unlockOnStartup>
-->
<!-- Expert: Controls how often Lucene loads terms into memory
Default is 128 and is likely good for most everyone.
-->
<!-- <termIndexInterval>128</termIndexInterval> -->
<!-- If true, IndexReaders will be opened/reopened from the IndexWriter
instead of from the Directory. Hosts in a master/slave setup
should have this set to false while those in a SolrCloud
cluster need to be set to true. Default: true
-->
<!--
<nrtMode>true</nrtMode>
-->
<!-- Commit Deletion Policy
Custom deletion policies can be specified here. The class must
implement org.apache.lucene.index.IndexDeletionPolicy.
The default Solr IndexDeletionPolicy implementation supports
deleting index commit points on number of commits, age of
commit point and optimized status.
The latest commit point should always be preserved regardless
of the criteria.
-->
<!--
<deletionPolicy class="solr.SolrDeletionPolicy">
-->
<!-- The number of commit points to be kept -->
<!-- <str name="maxCommitsToKeep">1</str> -->
<!-- The number of optimized commit points to be kept -->
<!-- <str name="maxOptimizedCommitsToKeep">0</str> -->
<!--
Delete all commit points once they have reached the given age.
Supports DateMathParser syntax e.g.
-->
<!--
<str name="maxCommitAge">30MINUTES</str>
<str name="maxCommitAge">1DAY</str>
-->
<!--
</deletionPolicy>
-->
<!-- Lucene Infostream
To aid in advanced debugging, Lucene provides an "InfoStream"
of detailed information when indexing.
Setting the value to true will instruct the underlying Lucene
IndexWriter to write its info stream to solr's log. By default,
this is enabled here, and controlled through log4j.properties.
-->
<infoStream>true</infoStream>
<!--
Use true to enable this safety check, which can help
reduce the risk of propagating index corruption from older segments
into new ones, at the expense of slower merging.
-->
<checkIntegrityAtMerge>false</checkIntegrityAtMerge>
</indexConfig>
<!-- JMX
This example enables JMX if and only if an existing MBeanServer
is found, use this if you want to configure JMX through JVM
parameters. Remove this to disable exposing Solr configuration
and statistics to JMX.
For more details see http://wiki.apache.org/solr/SolrJmx
-->
<jmx />
<!-- If you want to connect to a particular server, specify the
agentId
-->
<!-- <jmx agentId="myAgent" /> -->
<!-- If you want to start a new MBeanServer, specify the serviceUrl -->
<!-- <jmx serviceUrl="service:jmx:rmi:///jndi/rmi://localhost:9999/solr"/>
-->
<!-- The default high-performance update handler -->
<updateHandler class="solr.DirectUpdateHandler2">
<!-- Enables a transaction log, used for real-time get, durability, and
and solr cloud replica recovery. The log can grow as big as
uncommitted changes to the index, so use of a hard autoCommit
is recommended (see below).
"dir" - the target directory for transaction logs, defaults to the
solr data directory. -->
<updateLog>
<str name="dir">${solr.ulog.dir:}</str>
</updateLog>
<!-- AutoCommit
Perform a hard commit automatically under certain conditions.
Instead of enabling autoCommit, consider using "commitWithin"
when adding documents.
http://wiki.apache.org/solr/UpdateXmlMessages
maxDocs - Maximum number of documents to add since the last
commit before automatically triggering a new commit.
maxTime - Maximum amount of time in ms that is allowed to pass
since a document was added before automatically
triggering a new commit.
openSearcher - if false, the commit causes recent index changes
to be flushed to stable storage, but does not cause a new
searcher to be opened to make those changes visible.
If the updateLog is enabled, then it's highly recommended to
have some sort of hard autoCommit to limit the log size.
-->
<autoCommit>
<maxTime>${solr.autoCommit.maxTime:15000}</maxTime>
<openSearcher>false</openSearcher>
</autoCommit>
<!-- softAutoCommit is like autoCommit except it causes a
'soft' commit which only ensures that changes are visible
but does not ensure that data is synced to disk. This is
faster and more near-realtime friendly than a hard commit.
-->
<autoSoftCommit>
<maxTime>${solr.autoSoftCommit.maxTime:-1}</maxTime>
</autoSoftCommit>
<!-- Update Related Event Listeners
Various IndexWriter related events can trigger Listeners to
take actions.
postCommit - fired after every commit or optimize command
postOptimize - fired after every optimize command
-->
<!-- The RunExecutableListener executes an external command from a
hook such as postCommit or postOptimize.
exe - the name of the executable to run
dir - dir to use as the current working directory. (default=".")
wait - the calling thread waits until the executable returns.
(default="true")
args - the arguments to pass to the program. (default is none)
env - environment variables to set. (default is none)
-->
<!-- This example shows how RunExecutableListener could be used
with the script based replication...
http://wiki.apache.org/solr/CollectionDistribution
-->
<!--
<listener event="postCommit" class="solr.RunExecutableListener">
<str name="exe">solr/bin/snapshooter</str>
<str name="dir">.</str>
<bool name="wait">true</bool>
<arr name="args"> <str>arg1</str> <str>arg2</str> </arr>
<arr name="env"> <str>MYVAR=val1</str> </arr>
</listener>
-->
</updateHandler>
<!-- IndexReaderFactory
Use the following format to specify a custom IndexReaderFactory,
which allows for alternate IndexReader implementations.
** Experimental Feature **
Please note - Using a custom IndexReaderFactory may prevent
certain other features from working. The API to
IndexReaderFactory may change without warning or may even be
removed from future releases if the problems cannot be
resolved.
** Features that may not work with custom IndexReaderFactory **
The ReplicationHandler assumes a disk-resident index. Using a
custom IndexReader implementation may cause incompatibility
with ReplicationHandler and may cause replication to not work
correctly. See SOLR-1366 for details.
-->
<!--
<indexReaderFactory name="IndexReaderFactory" class="package.class">
<str name="someArg">Some Value</str>
</indexReaderFactory >
-->
<!-- By explicitly declaring the Factory, the termIndexDivisor can
be specified.
-->
<!--
<indexReaderFactory name="IndexReaderFactory"
class="solr.StandardIndexReaderFactory">
<int name="setTermIndexDivisor">12</int>
</indexReaderFactory >
-->
<!-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Query section - these settings control query time things like caches
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -->
<query>
<!-- Max Boolean Clauses
Maximum number of clauses in each BooleanQuery, an exception
is thrown if exceeded.
** WARNING **
This option actually modifies a global Lucene property that
will affect all SolrCores. If multiple solrconfig.xml files
disagree on this property, the value at any given moment will
be based on the last SolrCore to be initialized.
-->
<maxBooleanClauses>1024</maxBooleanClauses>
<!-- Solr Internal Query Caches
There are two implementations of cache available for Solr,
LRUCache, based on a synchronized LinkedHashMap, and
FastLRUCache, based on a ConcurrentHashMap.
FastLRUCache has faster gets and slower puts in single
threaded operation and thus is generally faster than LRUCache
when the hit ratio of the cache is high (> 75%), and may be
faster under other scenarios on multi-cpu systems.
-->
<!-- Filter Cache
Cache used by SolrIndexSearcher for filters (DocSets),
unordered sets of *all* documents that match a query. When a
new searcher is opened, its caches may be prepopulated or
"autowarmed" using data from caches in the old searcher.
autowarmCount is the number of items to prepopulate. For
LRUCache, the autowarmed items will be the most recently
accessed items.
Parameters:
class - the SolrCache implementation LRUCache or
(LRUCache or FastLRUCache)
size - the maximum number of entries in the cache
initialSize - the initial capacity (number of entries) of
the cache. (see java.util.HashMap)
autowarmCount - the number of entries to prepopulate from
and old cache.
-->
<filterCache class="solr.FastLRUCache"
size="512"
initialSize="512"
autowarmCount="0"/>
<!-- Query Result Cache
Caches results of searches - ordered lists of document ids
(DocList) based on a query, a sort, and the range of documents requested.
-->
<queryResultCache class="solr.LRUCache"
size="512"
initialSize="512"
autowarmCount="0"/>
<!-- Document Cache
Caches Lucene Document objects (the stored fields for each
document). Since Lucene internal document ids are transient,
this cache will not be autowarmed.
-->
<documentCache class="solr.LRUCache"
size="512"
initialSize="512"
autowarmCount="0"/>
<!-- custom cache currently used by block join -->
<cache name="perSegFilter"
class="solr.search.LRUCache"
size="10"
initialSize="0"
autowarmCount="10"
regenerator="solr.NoOpRegenerator" />
<!-- Field Value Cache
Cache used to hold field values that are quickly accessible
by document id. The fieldValueCache is created by default
even if not configured here.
-->
<!--
<fieldValueCache class="solr.FastLRUCache"
size="512"
autowarmCount="128"
showItems="32" />
-->
<!-- Custom Cache
Example of a generic cache. These caches may be accessed by
name through SolrIndexSearcher.getCache(),cacheLookup(), and
cacheInsert(). The purpose is to enable easy caching of
user/application level data. The regenerator argument should
be specified as an implementation of solr.CacheRegenerator
if autowarming is desired.
-->
<!--
<cache name="myUserCache"
class="solr.LRUCache"
size="4096"
initialSize="1024"
autowarmCount="1024"
regenerator="com.mycompany.MyRegenerator"
/>
-->
<!-- Lazy Field Loading
If true, stored fields that are not requested will be loaded
lazily. This can result in a significant speed improvement
if the usual case is to not load all stored fields,
especially if the skipped fields are large compressed text
fields.
-->
<enableLazyFieldLoading>true</enableLazyFieldLoading>
<!-- Use Filter For Sorted Query
A possible optimization that attempts to use a filter to
satisfy a search. If the requested sort does not include
score, then the filterCache will be checked for a filter
matching the query. If found, the filter will be used as the
source of document ids, and then the sort will be applied to
that.
For most situations, this will not be useful unless you
frequently get the same search repeatedly with different sort
options, and none of them ever use "score"
-->
<!--
<useFilterForSortedQuery>true</useFilterForSortedQuery>
-->
<!-- Result Window Size
An optimization for use with the queryResultCache. When a search
is requested, a superset of the requested number of document ids
are collected. For example, if a search for a particular query
requests matching documents 10 through 19, and queryWindowSize is 50,
then documents 0 through 49 will be collected and cached. Any further
requests in that range can be satisfied via the cache.
-->
<queryResultWindowSize>20</queryResultWindowSize>
<!-- Maximum number of documents to cache for any entry in the
queryResultCache.
-->
<queryResultMaxDocsCached>200</queryResultMaxDocsCached>
<!-- Query Related Event Listeners
Various IndexSearcher related events can trigger Listeners to
take actions.
newSearcher - fired whenever a new searcher is being prepared
and there is a current searcher handling requests (aka
registered). It can be used to prime certain caches to
prevent long request times for certain requests.
firstSearcher - fired whenever a new searcher is being
prepared but there is no current registered searcher to handle
requests or to gain autowarming data from.
-->
<!-- QuerySenderListener takes an array of NamedList and executes a
local query request for each NamedList in sequence.
-->
<listener event="newSearcher" class="solr.QuerySenderListener">
<arr name="queries">
<!--
<lst><str name="q">solr</str><str name="sort">price asc</str></lst>
<lst><str name="q">rocks</str><str name="sort">weight asc</str></lst>
-->
</arr>
</listener>
<listener event="firstSearcher" class="solr.QuerySenderListener">
<arr name="queries">
<lst>
<str name="q">static firstSearcher warming in solrconfig.xml</str>
</lst>
</arr>
</listener>
<!-- Use Cold Searcher
If a search request comes in and there is no current
registered searcher, then immediately register the still
warming searcher and use it. If "false" then all requests
will block until the first searcher is done warming.
-->
<useColdSearcher>false</useColdSearcher>
<!-- Max Warming Searchers
Maximum number of searchers that may be warming in the
background concurrently. An error is returned if this limit
is exceeded.
Recommend values of 1-2 for read-only slaves, higher for
masters w/o cache warming.
-->
<maxWarmingSearchers>2</maxWarmingSearchers>
</query>
<!-- Request Dispatcher
This section contains instructions for how the SolrDispatchFilter
should behave when processing requests for this SolrCore.
handleSelect is a legacy option that affects the behavior of requests
such as /select?qt=XXX
handleSelect="true" will cause the SolrDispatchFilter to process
the request and dispatch the query to a handler specified by the
"qt" param, assuming "/select" isn't already registered.
handleSelect="false" will cause the SolrDispatchFilter to
ignore "/select" requests, resulting in a 404 unless a handler
is explicitly registered with the name "/select"
handleSelect="true" is not recommended for new users, but is the default
for backwards compatibility
-->
<requestDispatcher handleSelect="false" >
<!-- Request Parsing
These settings indicate how Solr Requests may be parsed, and
what restrictions may be placed on the ContentStreams from
those requests
enableRemoteStreaming - enables use of the stream.file
and stream.url parameters for specifying remote streams.
multipartUploadLimitInKB - specifies the max size (in KiB) of
Multipart File Uploads that Solr will allow in a Request.
formdataUploadLimitInKB - specifies the max size (in KiB) of
form data (application/x-www-form-urlencoded) sent via
POST. You can use POST to pass request parameters not
fitting into the URL.
addHttpRequestToContext - if set to true, it will instruct
the requestParsers to include the original HttpServletRequest
object in the context map of the SolrQueryRequest under the
key "httpRequest". It will not be used by any of the existing
Solr components, but may be useful when developing custom
plugins.
*** WARNING ***
The settings below authorize Solr to fetch remote files, You
should make sure your system has some authentication before
using enableRemoteStreaming="true"
-->
<requestParsers enableRemoteStreaming="true"
multipartUploadLimitInKB="2048000"
formdataUploadLimitInKB="2048"
addHttpRequestToContext="false"/>
<!-- HTTP Caching
Set HTTP caching related parameters (for proxy caches and clients).
The options below instruct Solr not to output any HTTP Caching
related headers
-->
<httpCaching never304="true" />
<!-- If you include a <cacheControl> directive, it will be used to
generate a Cache-Control header (as well as an Expires header
if the value contains "max-age=")
By default, no Cache-Control header is generated.
You can use the <cacheControl> option even if you have set
never304="true"
-->
<!--
<httpCaching never304="true" >
<cacheControl>max-age=30, public</cacheControl>
</httpCaching>
-->
<!-- To enable Solr to respond with automatically generated HTTP
Caching headers, and to response to Cache Validation requests
correctly, set the value of never304="false"
This will cause Solr to generate Last-Modified and ETag
headers based on the properties of the Index.
The following options can also be specified to affect the
values of these headers...
lastModFrom - the default value is "openTime" which means the
Last-Modified value (and validation against If-Modified-Since
requests) will all be relative to when the current Searcher
was opened. You can change it to lastModFrom="dirLastMod" if
you want the value to exactly correspond to when the physical
index was last modified.
etagSeed="..." is an option you can change to force the ETag
header (and validation against If-None-Match requests) to be
different even if the index has not changed (ie: when making
significant changes to your config file)
(lastModifiedFrom and etagSeed are both ignored if you use
the never304="true" option)
-->
<!--
<httpCaching lastModifiedFrom="openTime"
etagSeed="Solr">
<cacheControl>max-age=30, public</cacheControl>
</httpCaching>
-->
</requestDispatcher>
<!-- Request Handlers
http://wiki.apache.org/solr/SolrRequestHandler
Incoming queries will be dispatched to a specific handler by name
based on the path specified in the request.
Legacy behavior: If the request path uses "/select" but no Request
Handler has that name, and if handleSelect="true" has been specified in
the requestDispatcher, then the Request Handler is dispatched based on
the qt parameter. Handlers without a leading '/' are accessed this way
like so: http://host/app/[core/]select?qt=name If no qt is
given, then the requestHandler that declares default="true" will be
used or the one named "standard".
If a Request Handler is declared with startup="lazy", then it will
not be initialized until the first request that uses it.
-->
<!-- SearchHandler
http://wiki.apache.org/solr/SearchHandler
For processing Search Queries, the primary Request Handler
provided with Solr is "SearchHandler" It delegates to a sequent
of SearchComponents (see below) and supports distributed
queries across multiple shards
-->
<requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
<lst name="defaults">
<str name="config">data-config.xml</str>
</lst>
</requestHandler>
<requestHandler name="/select" class="solr.SearchHandler">
<!-- default values for query parameters can be specified, these
will be overridden by parameters in the request
-->
<lst name="defaults">
<str name="echoParams">explicit</str>
<int name="rows">10</int>
<str name="df">text</str>
</lst>
<!-- In addition to defaults, "appends" params can be specified
to identify values which should be appended to the list of
multi-val params from the query (or the existing "defaults").
-->
<!-- In this example, the param "fq=instock:true" would be appended to
any query time fq params the user may specify, as a mechanism for
partitioning the index, independent of any user selected filtering
that may also be desired (perhaps as a result of faceted searching).
NOTE: there is *absolutely* nothing a client can do to prevent these
"appends" values from being used, so don't use this mechanism
unless you are sure you always want it.
-->
<!--
<lst name="appends">
<str name="fq">inStock:true</str>
</lst>
-->
<!-- "invariants" are a way of letting the Solr maintainer lock down
the options available to Solr clients. Any params values
specified here are used regardless of what values may be specified
in either the query, the "defaults", or the "appends" params.
In this example, the facet.field and facet.query params would
be fixed, limiting the facets clients can use. Faceting is
not turned on by default - but if the client does specify
facet=true in the request, these are the only facets they
will be able to see counts for; regardless of what other
facet.field or facet.query params they may specify.
NOTE: there is *absolutely* nothing a client can do to prevent these
"invariants" values from being used, so don't use this mechanism
unless you are sure you always want it.
-->
<!--
<lst name="invariants">
<str name="facet.field">cat</str>
<str name="facet.field">manu_exact</str>
<str name="facet.query">price:[* TO 500]</str>
<str name="facet.query">price:[500 TO *]</str>
</lst>
-->
<!-- If the default list of SearchComponents is not desired, that
list can either be overridden completely, or components can be
prepended or appended to the default list. (see below)
-->
<!--
<arr name="components">
<str>nameOfCustomComponent1</str>
<str>nameOfCustomComponent2</str>
</arr>
-->
</requestHandler>
<!-- A request handler that returns indented JSON by default -->
<requestHandler name="/query" class="solr.SearchHandler">
<lst name="defaults">
<str name="echoParams">explicit</str>
<str name="wt">json</str>
<str name="indent">true</str>
<str name="df">text</str>
</lst>
</requestHandler>
<!-- realtime get handler, guaranteed to return the latest stored fields of
any document, without the need to commit or open a new searcher. The
current implementation relies on the updateLog feature being enabled.
** WARNING **
Do NOT disable the realtime get handler at /get if you are using
SolrCloud otherwise any leader election will cause a full sync in ALL
replicas for the shard in question. Similarly, a replica recovery will
also always fetch the complete index from the leader because a partial
sync will not be possible in the absence of this handler.
-->
<requestHandler name="/get" class="solr.RealTimeGetHandler">
<lst name="defaults">
<str name="omitHeader">true</str>
<str name="wt">json</str>
<str name="indent">true</str>
</lst>
</requestHandler>
<!--
The export request handler is used to export full sorted result sets.
Do not change these defaults.
-->
<requestHandler name="/export" class="solr.SearchHandler">
<lst name="invariants">
<str name="rq">{!xport}</str>
<str name="wt">xsort</str>
<str name="distrib">false</str>
</lst>
<arr name="components">
<str>query</str>
</arr>
</requestHandler>
<!-- A Robust Example
This example SearchHandler declaration shows off usage of the
SearchHandler with many defaults declared
Note that multiple instances of the same Request Handler
(SearchHandler) can be registered multiple times with different
names (and different init parameters)
-->
<requestHandler name="/browse" class="solr.SearchHandler">
<lst name="defaults">
<str name="echoParams">explicit</str>
<!-- VelocityResponseWriter settings -->
<str name="wt">velocity</str>
<str name="v.template">browse</str>
<str name="v.layout">layout</str>
<str name="title">Solritas</str>
<!-- Query settings -->
<str name="defType">edismax</str>
<str name="qf">
text^0.5 features^1.0 name^1.2 sku^1.5 id^10.0 manu^1.1 cat^1.4
title^10.0 description^5.0 keywords^5.0 author^2.0 resourcename^1.0
</str>
<str name="df">text</str>
<str name="mm">100%</str>
<str name="q.alt">*:*</str>
<str name="rows">10</str>
<str name="fl">*,score</str>
<str name="mlt.qf">
text^0.5 features^1.0 name^1.2 sku^1.5 id^10.0 manu^1.1 cat^1.4
title^10.0 description^5.0 keywords^5.0 author^2.0 resourcename^1.0
</str>
<str name="mlt.fl">text,features,name,sku,id,manu,cat,title,description,keywords,author,resourcename</str>
<int name="mlt.count">3</int>
<!-- Faceting defaults -->
<str name="facet">on</str>
<str name="facet.missing">true</str>
<str name="facet.field">cat</str>
<str name="facet.field">manu_exact</str>
<str name="facet.field">content_type</str>
<str name="facet.field">author_s</str>
<str name="facet.query">ipod</str>
<str name="facet.query">GB</str>
<str name="facet.mincount">1</str>
<str name="facet.pivot">cat,inStock</str>
<str name="facet.range.other">after</str>
<str name="facet.range">price</str>
<int name="f.price.facet.range.start">0</int>
<int name="f.price.facet.range.end">600</int>
<int name="f.price.facet.range.gap">50</int>
<str name="facet.range">popularity</str>
<int name="f.popularity.facet.range.start">0</int>
<int name="f.popularity.facet.range.end">10</int>
<int name="f.popularity.facet.range.gap">3</int>
<str name="facet.range">manufacturedate_dt</str>
<str name="f.manufacturedate_dt.facet.range.start">NOW/YEAR-10YEARS</str>
<str name="f.manufacturedate_dt.facet.range.end">NOW</str>
<str name="f.manufacturedate_dt.facet.range.gap">+1YEAR</str>
<str name="f.manufacturedate_dt.facet.range.other">before</str>
<str name="f.manufacturedate_dt.facet.range.other">after</str>
<!-- Highlighting defaults -->
<str name="hl">on</str>
<str name="hl.fl">content features title name</str>
<str name="hl.preserveMulti">true</str>
<str name="hl.encoder">html</str>
<str name="hl.simple.pre"><b></str>
<str name="hl.simple.post"></b></str>
<str name="f.title.hl.fragsize">0</str>
<str name="f.title.hl.alternateField">title</str>
<str name="f.name.hl.fragsize">0</str>
<str name="f.name.hl.alternateField">name</str>
<str name="f.content.hl.snippets">3</str>
<str name="f.content.hl.fragsize">200</str>
<str name="f.content.hl.alternateField">content</str>
<str name="f.content.hl.maxAlternateFieldLength">750</str>
<!-- Spell checking defaults -->
<str name="spellcheck">on</str>
<str name="spellcheck.extendedResults">false</str>
<str name="spellcheck.count">5</str>
<str name="spellcheck.alternativeTermCount">2</str>
<str name="spellcheck.maxResultsForSuggest">5</str>
<str name="spellcheck.collate">true</str>
<str name="spellcheck.collateExtendedResults">true</str>
<str name="spellcheck.maxCollationTries">5</str>
<str name="spellcheck.maxCollations">3</str>
</lst>
<!-- append spellchecking to our list of components -->
<arr name="last-components">
<str>spellcheck</str>
</arr>
</requestHandler>
<!-- Update Request Handler.
http://wiki.apache.org/solr/UpdateXmlMessages
The canonical Request Handler for Modifying the Index through
commands specified using XML, JSON, CSV, or JAVABIN
Note: Since solr1.1 requestHandlers requires a valid content
type header if posted in the body. For example, curl now
requires: -H 'Content-type:text/xml; charset=utf-8'
To override the request content type and force a specific
Content-type, use the request parameter:
?update.contentType=text/csv
This handler will pick a response format to match the input
if the 'wt' parameter is not explicit
-->
<requestHandler name="/update" class="solr.UpdateRequestHandler">
<!-- See below for information on defining
updateRequestProcessorChains that can be used by name
on each Update Request
-->
<!--
<lst name="defaults">
<str name="update.chain">dedupe</str>
</lst>
-->
</requestHandler>
<!-- The following are implicitly added
<requestHandler name="/update/json" class="solr.UpdateRequestHandler">
<lst name="defaults">
<str name="stream.contentType">application/json</str>
</lst>
</requestHandler>
<requestHandler name="/update/csv" class="solr.UpdateRequestHandler">
<lst name="defaults">
<str name="stream.contentType">application/csv</str>
</lst>
</requestHandler>
-->
<!-- Solr Cell Update Request Handler
http://wiki.apache.org/solr/ExtractingRequestHandler
-->
<requestHandler name="/update/extract"
startup="lazy"
class="solr.extraction.ExtractingRequestHandler" >
<lst name="defaults">
<str name="lowernames">true</str>
<str name="uprefix">ignored_</str>
<!-- capture link hrefs but ignore div attributes -->
<str name="captureAttr">true</str>
<str name="fmap.a">links</str>
<str name="fmap.div">ignored_</str>
</lst>
</requestHandler>
<!-- Field Analysis Request Handler
RequestHandler that provides much the same functionality as
analysis.jsp. Provides the ability to specify multiple field
types and field names in the same request and outputs
index-time and query-time analysis for each of them.
Request parameters are:
analysis.fieldname - field name whose analyzers are to be used
analysis.fieldtype - field type whose analyzers are to be used
analysis.fieldvalue - text for index-time analysis
q (or analysis.q) - text for query time analysis
analysis.showmatch (true|false) - When set to true and when
query analysis is performed, the produced tokens of the
field value analysis will be marked as "matched" for every
token that is produces by the query analysis
-->
<requestHandler name="/analysis/field"
startup="lazy"
class="solr.FieldAnalysisRequestHandler" />
<!-- Document Analysis Handler
http://wiki.apache.org/solr/AnalysisRequestHandler
An analysis handler that provides a breakdown of the analysis
process of provided documents. This handler expects a (single)
content stream with the following format:
<docs>
<doc>
<field name="id">1</field>
<field name="name">The Name</field>
<field name="text">The Text Value</field>
</doc>
<doc>...</doc>
<doc>...</doc>
...
</docs>
Note: Each document must contain a field which serves as the
unique key. This key is used in the returned response to associate
an analysis breakdown to the analyzed document.
Like the FieldAnalysisRequestHandler, this handler also supports
query analysis by sending either an "analysis.query" or "q"
request parameter that holds the query text to be analyzed. It
also supports the "analysis.showmatch" parameter which when set to
true, all field tokens that match the query tokens will be marked
as a "match".
-->
<requestHandler name="/analysis/document"
class="solr.DocumentAnalysisRequestHandler"
startup="lazy" />
<!-- Admin Handlers
Admin Handlers - This will register all the standard admin
RequestHandlers.
-->
<requestHandler name="/admin/"
class="solr.admin.AdminHandlers" />
<!-- This single handler is equivalent to the following... -->
<!--
<requestHandler name="/admin/luke" class="solr.admin.LukeRequestHandler" />
<requestHandler name="/admin/system" class="solr.admin.SystemInfoHandler" />
<requestHandler name="/admin/plugins" class="solr.admin.PluginInfoHandler" />
<requestHandler name="/admin/threads" class="solr.admin.ThreadDumpHandler" />
<requestHandler name="/admin/properties" class="solr.admin.PropertiesRequestHandler" />
<requestHandler name="/admin/file" class="solr.admin.ShowFileRequestHandler" >
-->
<!-- If you wish to hide files under ${solr.home}/conf, explicitly
register the ShowFileRequestHandler using the definition below.
NOTE: The glob pattern ('*') is the only pattern supported at present, *.xml will
not exclude all files ending in '.xml'. Use it to exclude _all_ updates
-->
<!--
<requestHandler name="/admin/file"
class="solr.admin.ShowFileRequestHandler" >
<lst name="invariants">
<str name="hidden">synonyms.txt</str>
<str name="hidden">anotherfile.txt</str>
<str name="hidden">*</str>
</lst>
</requestHandler>
-->
<!-- ping/healthcheck -->
<requestHandler name="/admin/ping" class="solr.PingRequestHandler">
<lst name="invariants">
<str name="q">solrpingquery</str>
</lst>
<lst name="defaults">
<str name="echoParams">all</str>
</lst>
<!-- An optional feature of the PingRequestHandler is to configure the
handler with a "healthcheckFile" which can be used to enable/disable
the PingRequestHandler.
relative paths are resolved against the data dir
-->
<!-- <str name="healthcheckFile">server-enabled.txt</str> -->
</requestHandler>
<!-- Echo the request contents back to the client -->
<requestHandler name="/debug/dump" class="solr.DumpRequestHandler" >
<lst name="defaults">
<str name="echoParams">explicit</str>
<str name="echoHandler">true</str>
</lst>
</requestHandler>
<!-- Solr Replication
The SolrReplicationHandler supports replicating indexes from a
"master" used for indexing and "slaves" used for queries.
http://wiki.apache.org/solr/SolrReplication
It is also necessary for SolrCloud to function (in Cloud mode, the
replication handler is used to bulk transfer segments when nodes
are added or need to recover).
https://wiki.apache.org/solr/SolrCloud/
-->
<requestHandler name="/replication" class="solr.ReplicationHandler" >
<!--
To enable simple master/slave replication, uncomment one of the
sections below, depending on whether this solr instance should be
the "master" or a "slave". If this instance is a "slave" you will
also need to fill in the masterUrl to point to a real machine.
-->
<!--
<lst name="master">
<str name="replicateAfter">commit</str>
<str name="replicateAfter">startup</str>
<str name="confFiles">schema.xml,stopwords.txt</str>
</lst>
-->
<!--
<lst name="slave">
<str name="masterUrl">http://your-master-hostname:8983/solr</str>
<str name="pollInterval">00:00:60</str>
</lst>
-->
</requestHandler>
<!-- Search Components
Search components are registered to SolrCore and used by
instances of SearchHandler (which can access them by name)
By default, the following components are available:
<searchComponent name="query" class="solr.QueryComponent" />
<searchComponent name="facet" class="solr.FacetComponent" />
<searchComponent name="mlt" class="solr.MoreLikeThisComponent" />
<searchComponent name="highlight" class="solr.HighlightComponent" />
<searchComponent name="stats" class="solr.StatsComponent" />
<searchComponent name="debug" class="solr.DebugComponent" />
Default configuration in a requestHandler would look like:
<arr name="components">
<str>query</str>
<str>facet</str>
<str>mlt</str>
<str>highlight</str>
<str>stats</str>
<str>debug</str>
</arr>
If you register a searchComponent to one of the standard names,
that will be used instead of the default.
To insert components before or after the 'standard' components, use:
<arr name="first-components">
<str>myFirstComponentName</str>
</arr>
<arr name="last-components">
<str>myLastComponentName</str>
</arr>
NOTE: The component registered with the name "debug" will
always be executed after the "last-components"
-->
<!-- Spell Check
The spell check component can return a list of alternative spelling
suggestions.
http://wiki.apache.org/solr/SpellCheckComponent
-->
<searchComponent name="spellcheck" class="solr.SpellCheckComponent">
<str name="queryAnalyzerFieldType">text_general</str>
<!-- Multiple "Spell Checkers" can be declared and used by this
component
-->
<!-- a spellchecker built from a field of the main index -->
<lst name="spellchecker">
<str name="name">default</str>
<str name="field">text</str>
<str name="classname">solr.DirectSolrSpellChecker</str>
<!-- the spellcheck distance measure used, the default is the internal levenshtein -->
<str name="distanceMeasure">internal</str>
<!-- minimum accuracy needed to be considered a valid spellcheck suggestion -->
<float name="accuracy">0.5</float>
<!-- the maximum #edits we consider when enumerating terms: can be 1 or 2 -->
<int name="maxEdits">2</int>
<!-- the minimum shared prefix when enumerating terms -->
<int name="minPrefix">1</int>
<!-- maximum number of inspections per result. -->
<int name="maxInspections">5</int>
<!-- minimum length of a query term to be considered for correction -->
<int name="minQueryLength">4</int>
<!-- maximum threshold of documents a query term can appear to be considered for correction -->
<float name="maxQueryFrequency">0.01</float>
<!-- uncomment this to require suggestions to occur in 1% of the documents
<float name="thresholdTokenFrequency">.01</float>
-->
</lst>
<!-- a spellchecker that can break or combine words. See "/spell" handler below for usage -->
<lst name="spellchecker">
<str name="name">wordbreak</str>
<str name="classname">solr.WordBreakSolrSpellChecker</str>
<str name="field">name</str>
<str name="combineWords">true</str>
<str name="breakWords">true</str>
<int name="maxChanges">10</int>
</lst>
<!-- a spellchecker that uses a different distance measure -->
<!--
<lst name="spellchecker">
<str name="name">jarowinkler</str>
<str name="field">spell</str>
<str name="classname">solr.DirectSolrSpellChecker</str>
<str name="distanceMeasure">
org.apache.lucene.search.spell.JaroWinklerDistance
</str>
</lst>
-->
<!-- a spellchecker that use an alternate comparator
comparatorClass be one of:
1. score (default)
2. freq (Frequency first, then score)
3. A fully qualified class name
-->
<!--
<lst name="spellchecker">
<str name="name">freq</str>
<str name="field">lowerfilt</str>
<str name="classname">solr.DirectSolrSpellChecker</str>
<str name="comparatorClass">freq</str>
-->
<!-- A spellchecker that reads the list of words from a file -->
<!--
<lst name="spellchecker">
<str name="classname">solr.FileBasedSpellChecker</str>
<str name="name">file</str>
<str name="sourceLocation">spellings.txt</str>
<str name="characterEncoding">UTF-8</str>
<str name="spellcheckIndexDir">spellcheckerFile</str>
</lst>
-->
</searchComponent>
<!-- A request handler for demonstrating the spellcheck component.
NOTE: This is purely as an example. The whole purpose of the
SpellCheckComponent is to hook it into the request handler that
handles your normal user queries so that a separate request is
not needed to get suggestions.
IN OTHER WORDS, THERE IS REALLY GOOD CHANCE THE SETUP BELOW IS
NOT WHAT YOU WANT FOR YOUR PRODUCTION SYSTEM!
See http://wiki.apache.org/solr/SpellCheckComponent for details
on the request parameters.
-->
<requestHandler name="/spell" class="solr.SearchHandler" startup="lazy">
<lst name="defaults">
<str name="df">text</str>
<!-- Solr will use suggestions from both the 'default' spellchecker
and from the 'wordbreak' spellchecker and combine them.
collations (re-written queries) can include a combination of
corrections from both spellcheckers -->
<str name="spellcheck.dictionary">default</str>
<str name="spellcheck.dictionary">wordbreak</str>
<str name="spellcheck">on</str>
<str name="spellcheck.extendedResults">true</str>
<str name="spellcheck.count">10</str>
<str name="spellcheck.alternativeTermCount">5</str>
<str name="spellcheck.maxResultsForSuggest">5</str>
<str name="spellcheck.collate">true</str>
<str name="spellcheck.collateExtendedResults">true</str>
<str name="spellcheck.maxCollationTries">10</str>
<str name="spellcheck.maxCollations">5</str>
</lst>
<arr name="last-components">
<str>spellcheck</str>
</arr>
</requestHandler>
<searchComponent name="suggest" class="solr.SuggestComponent">
<lst name="suggester">
<str name="name">mySuggester</str>
<str name="lookupImpl">FuzzyLookupFactory</str> <!-- org.apache.solr.spelling.suggest.fst -->
<str name="dictionaryImpl">DocumentDictionaryFactory</str> <!-- org.apache.solr.spelling.suggest.HighFrequencyDictionaryFactory -->
<str name="field">cat</str>
<str name="weightField">price</str>
<str name="suggestAnalyzerFieldType">string</str>
</lst>
</searchComponent>
<requestHandler name="/suggest" class="solr.SearchHandler" startup="lazy">
<lst name="defaults">
<str name="suggest">true</str>
<str name="suggest.count">10</str>
</lst>
<arr name="components">
<str>suggest</str>
</arr>
</requestHandler>
<!-- Term Vector Component
http://wiki.apache.org/solr/TermVectorComponent
-->
<searchComponent name="tvComponent" class="solr.TermVectorComponent"/>
<!-- A request handler for demonstrating the term vector component
This is purely as an example.
In reality you will likely want to add the component to your
already specified request handlers.
-->
<requestHandler name="/tvrh" class="solr.SearchHandler" startup="lazy">
<lst name="defaults">
<str name="df">text</str>
<bool name="tv">true</bool>
</lst>
<arr name="last-components">
<str>tvComponent</str>
</arr>
</requestHandler>
<!-- Clustering Component
You'll need to set the solr.clustering.enabled system property
when running solr to run with clustering enabled:
java -Dsolr.clustering.enabled=true -jar start.jar
http://wiki.apache.org/solr/ClusteringComponent
http://carrot2.github.io/solr-integration-strategies/
-->
<searchComponent name="clustering"
enable="${solr.clustering.enabled:false}"
class="solr.clustering.ClusteringComponent" >
<lst name="engine">
<str name="name">lingo</str>
<!-- Class name of a clustering algorithm compatible with the Carrot2 framework.
Currently available open source algorithms are:
* org.carrot2.clustering.lingo.LingoClusteringAlgorithm
* org.carrot2.clustering.stc.STCClusteringAlgorithm
* org.carrot2.clustering.kmeans.BisectingKMeansClusteringAlgorithm
See http://project.carrot2.org/algorithms.html for more information.
A commercial algorithm Lingo3G (needs to be installed separately) is defined as:
* com.carrotsearch.lingo3g.Lingo3GClusteringAlgorithm
-->
<str name="carrot.algorithm">org.carrot2.clustering.lingo.LingoClusteringAlgorithm</str>
<!-- Override location of the clustering algorithm's resources
(attribute definitions and lexical resources).
A directory from which to load algorithm-specific stop words,
stop labels and attribute definition XMLs.
For an overview of Carrot2 lexical resources, see:
http://download.carrot2.org/head/manual/#chapter.lexical-resources
For an overview of Lingo3G lexical resources, see:
http://download.carrotsearch.com/lingo3g/manual/#chapter.lexical-resources
-->
<str name="carrot.resourcesDir">clustering/carrot2</str>
</lst>
<!-- An example definition for the STC clustering algorithm. -->
<lst name="engine">
<str name="name">stc</str>
<str name="carrot.algorithm">org.carrot2.clustering.stc.STCClusteringAlgorithm</str>
</lst>
<!-- An example definition for the bisecting kmeans clustering algorithm. -->
<lst name="engine">
<str name="name">kmeans</str>
<str name="carrot.algorithm">org.carrot2.clustering.kmeans.BisectingKMeansClusteringAlgorithm</str>
</lst>
</searchComponent>
<!-- A request handler for demonstrating the clustering component
This is purely as an example.
In reality you will likely want to add the component to your
already specified request handlers.
-->
<requestHandler name="/clustering"
startup="lazy"
enable="${solr.clustering.enabled:false}"
class="solr.SearchHandler">
<lst name="defaults">
<bool name="clustering">true</bool>
<bool name="clustering.results">true</bool>
<!-- Field name with the logical "title" of a each document (optional) -->
<str name="carrot.title">name</str>
<!-- Field name with the logical "URL" of a each document (optional) -->
<str name="carrot.url">id</str>
<!-- Field name with the logical "content" of a each document (optional) -->
<str name="carrot.snippet">features</str>
<!-- Apply highlighter to the title/ content and use this for clustering. -->
<bool name="carrot.produceSummary">true</bool>
<!-- the maximum number of labels per cluster -->
<!--<int name="carrot.numDescriptions">5</int>-->
<!-- produce sub clusters -->
<bool name="carrot.outputSubClusters">false</bool>
<!-- Configure the remaining request handler parameters. -->
<str name="defType">edismax</str>
<str name="qf">
text^0.5 features^1.0 name^1.2 sku^1.5 id^10.0 manu^1.1 cat^1.4
</str>
<str name="q.alt">*:*</str>
<str name="rows">10</str>
<str name="fl">*,score</str>
</lst>
<arr name="last-components">
<str>clustering</str>
</arr>
</requestHandler>
<!-- Terms Component
http://wiki.apache.org/solr/TermsComponent
A component to return terms and document frequency of those
terms
-->
<searchComponent name="terms" class="solr.TermsComponent"/>
<!-- A request handler for demonstrating the terms component -->
<requestHandler name="/terms" class="solr.SearchHandler" startup="lazy">
<lst name="defaults">
<bool name="terms">true</bool>
<bool name="distrib">false</bool>
</lst>
<arr name="components">
<str>terms</str>
</arr>
</requestHandler>
<!-- Query Elevation Component
http://wiki.apache.org/solr/QueryElevationComponent
a search component that enables you to configure the top
results for a given query regardless of the normal lucene
scoring.
-->
<searchComponent name="elevator" class="solr.QueryElevationComponent" >
<!-- pick a fieldType to analyze queries -->
<str name="queryFieldType">string</str>
<str name="config-file">elevate.xml</str>
</searchComponent>
<!-- A request handler for demonstrating the elevator component -->
<requestHandler name="/elevate" class="solr.SearchHandler" startup="lazy">
<lst name="defaults">
<str name="echoParams">explicit</str>
<str name="df">text</str>
</lst>
<arr name="last-components">
<str>elevator</str>
</arr>
</requestHandler>
<!-- Highlighting Component
http://wiki.apache.org/solr/HighlightingParameters
-->
<searchComponent class="solr.HighlightComponent" name="highlight">
<highlighting>
<!-- Configure the standard fragmenter -->
<!-- This could most likely be commented out in the "default" case -->
<fragmenter name="gap"
default="true"
class="solr.highlight.GapFragmenter">
<lst name="defaults">
<int name="hl.fragsize">100</int>
</lst>
</fragmenter>
<!-- A regular-expression-based fragmenter
(for sentence extraction)
-->
<fragmenter name="regex"
class="solr.highlight.RegexFragmenter">
<lst name="defaults">
<!-- slightly smaller fragsizes work better because of slop -->
<int name="hl.fragsize">70</int>
<!-- allow 50% slop on fragment sizes -->
<float name="hl.regex.slop">0.5</float>
<!-- a basic sentence pattern -->
<str name="hl.regex.pattern">[-\w ,/\n\"']{20,200}</str>
</lst>
</fragmenter>
<!-- Configure the standard formatter -->
<formatter name="html"
default="true"
class="solr.highlight.HtmlFormatter">
<lst name="defaults">
<str name="hl.simple.pre"><![CDATA[<em>]]></str>
<str name="hl.simple.post"><![CDATA[</em>]]></str>
</lst>
</formatter>
<!-- Configure the standard encoder -->
<encoder name="html"
class="solr.highlight.HtmlEncoder" />
<!-- Configure the standard fragListBuilder -->
<fragListBuilder name="simple"
class="solr.highlight.SimpleFragListBuilder"/>
<!-- Configure the single fragListBuilder -->
<fragListBuilder name="single"
class="solr.highlight.SingleFragListBuilder"/>
<!-- Configure the weighted fragListBuilder -->
<fragListBuilder name="weighted"
default="true"
class="solr.highlight.WeightedFragListBuilder"/>
<!-- default tag FragmentsBuilder -->
<fragmentsBuilder name="default"
default="true"
class="solr.highlight.ScoreOrderFragmentsBuilder">
<!--
<lst name="defaults">
<str name="hl.multiValuedSeparatorChar">/</str>
</lst>
-->
</fragmentsBuilder>
<!-- multi-colored tag FragmentsBuilder -->
<fragmentsBuilder name="colored"
class="solr.highlight.ScoreOrderFragmentsBuilder">
<lst name="defaults">
<str name="hl.tag.pre"><![CDATA[
<b style="background:yellow">,<b style="background:lawgreen">,
<b style="background:aquamarine">,<b style="background:magenta">,
<b style="background:palegreen">,<b style="background:coral">,
<b style="background:wheat">,<b style="background:khaki">,
<b style="background:lime">,<b style="background:deepskyblue">]]></str>
<str name="hl.tag.post"><![CDATA[</b>]]></str>
</lst>
</fragmentsBuilder>
<boundaryScanner name="default"
default="true"
class="solr.highlight.SimpleBoundaryScanner">
<lst name="defaults">
<str name="hl.bs.maxScan">10</str>
<str name="hl.bs.chars">.,!? 	 </str>
</lst>
</boundaryScanner>
<boundaryScanner name="breakIterator"
class="solr.highlight.BreakIteratorBoundaryScanner">
<lst name="defaults">
<!-- type should be one of CHARACTER, WORD(default), LINE and SENTENCE -->
<str name="hl.bs.type">WORD</str>
<!-- language and country are used when constructing Locale object. -->
<!-- And the Locale object will be used when getting instance of BreakIterator -->
<str name="hl.bs.language">en</str>
<str name="hl.bs.country">US</str>
</lst>
</boundaryScanner>
</highlighting>
</searchComponent>
<!-- Update Processors
Chains of Update Processor Factories for dealing with Update
Requests can be declared, and then used by name in Update
Request Processors
http://wiki.apache.org/solr/UpdateRequestProcessor
-->
<!-- Deduplication
An example dedup update processor that creates the "id" field
on the fly based on the hash code of some other fields. This
example has overwriteDupes set to false since we are using the
id field as the signatureField and Solr will maintain
uniqueness based on that anyway.
-->
<!--
<updateRequestProcessorChain name="dedupe">
<processor class="solr.processor.SignatureUpdateProcessorFactory">
<bool name="enabled">true</bool>
<str name="signatureField">id</str>
<bool name="overwriteDupes">false</bool>
<str name="fields">name,features,cat</str>
<str name="signatureClass">solr.processor.Lookup3Signature</str>
</processor>
<processor class="solr.LogUpdateProcessorFactory" />
<processor class="solr.RunUpdateProcessorFactory" />
</updateRequestProcessorChain>
-->
<!-- Language identification
This example update chain identifies the language of the incoming
documents using the langid contrib. The detected language is
written to field language_s. No field name mapping is done.
The fields used for detection are text, title, subject and description,
making this example suitable for detecting languages form full-text
rich documents injected via ExtractingRequestHandler.
See more about langId at http://wiki.apache.org/solr/LanguageDetection
-->
<!--
<updateRequestProcessorChain name="langid">
<processor class="org.apache.solr.update.processor.TikaLanguageIdentifierUpdateProcessorFactory">
<str name="langid.fl">text,title,subject,description</str>
<str name="langid.langField">language_s</str>
<str name="langid.fallback">en</str>
</processor>
<processor class="solr.LogUpdateProcessorFactory" />
<processor class="solr.RunUpdateProcessorFactory" />
</updateRequestProcessorChain>
-->
<!-- Script update processor
This example hooks in an update processor implemented using JavaScript.
See more about the script update processor at http://wiki.apache.org/solr/ScriptUpdateProcessor
-->
<!--
<updateRequestProcessorChain name="script">
<processor class="solr.StatelessScriptUpdateProcessorFactory">
<str name="script">update-script.js</str>
<lst name="params">
<str name="config_param">example config parameter</str>
</lst>
</processor>
<processor class="solr.RunUpdateProcessorFactory" />
</updateRequestProcessorChain>
-->
<!-- Response Writers
http://wiki.apache.org/solr/QueryResponseWriter
Request responses will be written using the writer specified by
the 'wt' request parameter matching the name of a registered
writer.
The "default" writer is the default and will be used if 'wt' is
not specified in the request.
-->
<!-- The following response writers are implicitly configured unless
overridden...
-->
<!--
<queryResponseWriter name="xml"
default="true"
class="solr.XMLResponseWriter" />
<queryResponseWriter name="json" class="solr.JSONResponseWriter"/>
<queryResponseWriter name="python" class="solr.PythonResponseWriter"/>
<queryResponseWriter name="ruby" class="solr.RubyResponseWriter"/>
<queryResponseWriter name="php" class="solr.PHPResponseWriter"/>
<queryResponseWriter name="phps" class="solr.PHPSerializedResponseWriter"/>
<queryResponseWriter name="csv" class="solr.CSVResponseWriter"/>
<queryResponseWriter name="schema.xml" class="solr.SchemaXmlResponseWriter"/>
-->
<queryResponseWriter name="json" class="solr.JSONResponseWriter">
<!-- For the purposes of the tutorial, JSON responses are written as
plain text so that they are easy to read in *any* browser.
If you expect a MIME type of "application/json" just remove this override.
-->
<str name="content-type">text/plain; charset=UTF-8</str>
</queryResponseWriter>
<!--
Custom response writers can be declared as needed...
-->
<queryResponseWriter name="velocity" class="solr.VelocityResponseWriter" startup="lazy"/>
<!-- XSLT response writer transforms the XML output by any xslt file found
in Solr's conf/xslt directory. Changes to xslt files are checked for
every xsltCacheLifetimeSeconds.
-->
<queryResponseWriter name="xslt" class="solr.XSLTResponseWriter">
<int name="xsltCacheLifetimeSeconds">5</int>
</queryResponseWriter>
<!-- Query Parsers
http://wiki.apache.org/solr/SolrQuerySyntax
Multiple QParserPlugins can be registered by name, and then
used in either the "defType" param for the QueryComponent (used
by SearchHandler) or in LocalParams
-->
<!-- example of registering a query parser -->
<!--
<queryParser name="myparser" class="com.mycompany.MyQParserPlugin"/>
-->
<!-- Function Parsers
http://wiki.apache.org/solr/FunctionQuery
Multiple ValueSourceParsers can be registered by name, and then
used as function names when using the "func" QParser.
-->
<!-- example of registering a custom function parser -->
<!--
<valueSourceParser name="myfunc"
class="com.mycompany.MyValueSourceParser" />
-->
<!-- Document Transformers
http://wiki.apache.org/solr/DocTransformers
-->
<!--
Could be something like:
<transformer name="db" class="com.mycompany.LoadFromDatabaseTransformer" >
<int name="connection">jdbc://....</int>
</transformer>
To add a constant value to all docs, use:
<transformer name="mytrans2" class="org.apache.solr.response.transform.ValueAugmenterFactory" >
<int name="value">5</int>
</transformer>
If you want the user to still be able to change it with _value:something_ use this:
<transformer name="mytrans3" class="org.apache.solr.response.transform.ValueAugmenterFactory" >
<double name="defaultValue">5</double>
</transformer>
If you are using the QueryElevationComponent, you may wish to mark documents that get boosted. The
EditorialMarkerFactory will do exactly that:
<transformer name="qecBooster" class="org.apache.solr.response.transform.EditorialMarkerFactory" />
-->
<!-- Legacy config for the admin interface -->
<admin>
<defaultQuery>*:*</defaultQuery>
</admin>
</config>
<?xml version="1.0" encoding="UTF-8" ?>
<schema name="example" version="1.5">
<field name="_version_" type="long" indexed="true" stored="true"/>
<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" />
<field name="name" type="text_general" indexed="true" stored="true"/>
<!-- 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. -->
<!-- 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" />
<!-- boolean type: "true" or "false" -->
<fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>
<!--
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"/>
<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"/>
<fieldType name="random" class="solr.RandomSortField" indexed="true" />
<!-- 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"
geo="true" distErrPct="0.025" maxDistErr="0.000009" units="degrees" />
<!-- 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 required for
relevancy. -->
<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.ThaiTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<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>
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.microsoft.sqlserver.jdbc.SQLServerDriver"
url="jdbc:sqlserver://servername\instancename;databaseName=mydb"
user="sa"
password="mypass"/>
<document>
<entity name="product"
pk="id"
query="select id,name from products"
deltaImportQuery="SELECT id,name from products WHERE id='${dih.delta.id}'"
deltaQuery="SELECT id FROM products WHERE updated_at > '${dih.last_index_time}'"
>
<field column="id" name="id"/>
<field column="name" name="name"/>
</entity>
</document>
</dataConfig>
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.mysql.jdbc.Driver"
url="jdbc:mysql://localhost:3306/my_test1"
user="root"
password=""/>
<document>
<entity name="product"
pk="id"
query="select id,name from products"
deltaImportQuery="SELECT id,name from products WHERE id='${dih.delta.id}'"
deltaQuery="SELECT id FROM products WHERE updated_at > '${dih.last_index_time}'"
>
<field column="id" name="id"/>
<field column="name" name="name"/>
</entity>
</document>
</dataConfig> <requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
<lst name="defaults">
<str name="config">data-config.xml</str>
</lst>
</requestHandler>
Importing/Indexing database (MySQL or SQL Server) in Solr using Data Import Handler
Install Solr
download and install Solr from http://lucene.apache.org/solr/.
you can access Solr admin from your browser: http://localhost:8983/solr/
use the port number used in installation.
MySQL connector
Download JDBC driver for MySQL from http://dev.mysql.com/downloads/connector/j/.
Copy file from the downloaded archive 'mysql-connector-java-*.jar' to the folder 'contrib/dataimporthandler/lib' in the folder where Solr was installed. Create 'lib' folder if needed.
MS SQL Server connector
Download Microsoft JDBC Driver 4.0 for SQL Server from: http://www.microsoft.com/en-us/download/details.aspx?displaylang=en&id=11774
copy file 'sqljdbc4.jar' to 'contrib/dataimporthandler/lib'
Setup a new collection
create a new folder for a new collection - 'myproducts'. The collection will be located in '/solr/myproducts' folder. Create folders conf and data in the collection folder:
- /solr/myproducts/conf
- /solr/myproducts/data
solrconfig.xml
copy solrconfig.xml from an existing collection. Find my version of solrconfig.xml below in this gist.
edit solrconfig.xml by adding:
<lib dir="../../contrib/dataimporthandler/lib" regex=".*\.jar" />
<lib dir="../../dist/" regex="solr-dataimporthandler-.*\.jar" />
Make sure that 'dist' folder contains two files for data import handler:
- solr-dataimporthandler-4.10.2.jar
- solr-dataimporthandler-extras-4.10.2.jar
add these lines to solrconfig.xml:
<requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
<lst name="defaults">
<str name="config">data-config.xml</str>
</lst>
</requestHandler>
data-config.xml for MySQL database
the file 'data-config.xml' will define data we want to import/index from our datasource. Assuming that our DB named mydb1 and we have table products with columns id, name and updated_at. Column 'updated_at' of datetime type stores the date of last modification of the row. This column will be used in incremental import to track rows modified since the last import into Solr.
# define data source
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.mysql.jdbc.Driver"
url="jdbc:mysql://localhost:3306/mydb1"
user="root"
password=""/>
<document>
<entity name="product"
pk="id"
query="select id,name from products"
deltaImportQuery="SELECT id,name from products WHERE id='${dih.delta.id}'"
deltaQuery="SELECT id FROM products WHERE updated_at > '${dih.last_index_time}'"
>
<field column="id" name="id"/>
<field column="name" name="name"/>
</entity>
</document>
</dataConfig>
- The 'query' gives the data needed to populate fields of the Solr document in full-import
- The 'deltaImportQuery' gives the data needed to populate fields when running a delta-import
- The 'deltaQuery' gives the primary keys of the current entity which have changes since the last index time
Full-import command uses the "query" query, delta-import command uses the delta components.
data-config.xml for SQL Server database
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.microsoft.sqlserver.jdbc.SQLServerDriver"
url="jdbc:sqlserver://servername\instancename;databaseName=mydb"
user="sa"
password="mypass"/>
<document>
<entity name="product"
pk="id"
query="select id,name from products"
deltaImportQuery="SELECT id,name from products WHERE id='${dih.delta.id}'"
deltaQuery="SELECT id FROM products WHERE updated_at > '${dih.last_index_time}'"
>
<field column="id" name="id"/>
<field column="name" name="name"/>
</entity>
</document>
</dataConfig>
schema.xml
edit file 'schema.xml' accordingly to fields defined in data-import.xml:
<schema name="example" version="1.5">
<field name="_version_" type="long" indexed="true" stored="true"/>
<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" />
<field name="name" type="text_general" indexed="true" stored="true"/>
...
add collection to solr
use admin interface in your browser to add a new collection. Add core:
- name: myproducts
- instanceDir: myproducts
Perform full or incremental import
After successfully adding a collection to Solr you can select it and run dataimport commands:
- full-import - use URL: http://localhost:8983/solr/myproducts/dataimport?command=full-import
- delta-import - use URL: http://localhost:8983/solr/myproducts/dataimport?command=delta-import
The full import loads all data every time, while incremental import means only adding the data that changed since the last indexing. By default, full import starts with removal the existing index (parameter clean=true).
Note! Use clean=false while running delta-import command.
debug=true - The debug mode limits the number of rows to 10 by default and it also forces indexing to be synchronous with the request.