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release [1.0.0.Beta1]
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docs/reference/analysis/analyzers/standard-analyzer.asciidoc

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|=======================================================================
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|Setting |Description
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|`stopwords` |A list of stopword to initialize the stop filter with.
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Defaults to an 'empty' stopword list coming[1.0.0.Beta1, Previously
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Defaults to an 'empty' stopword list added[1.0.0.Beta1, Previously
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defaulted to the English stopwords list]
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|`max_token_length` |The maximum token length. If a token is seen that
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exceeds this length then it is discarded. Defaults to `255`.

docs/reference/search/percolate.asciidoc

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[[search-percolate]]
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== Percolator
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Traditionally you design documents based on your data and store them into an index and then define queries via the search api
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in order to retrieve these documents. The percolator works in the opposite direction, first you store queries into an

pom.xml

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<modelVersion>4.0.0</modelVersion>
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<groupId>org.elasticsearch</groupId>
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<artifactId>elasticsearch</artifactId>
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<version>1.0.0.Beta1-SNAPSHOT</version>
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<version>1.0.0.Beta1</version>
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<packaging>jar</packaging>
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<description>ElasticSearch - Open Source, Distributed, RESTful Search Engine</description>
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<inceptionYear>2009</inceptionYear>

src/main/java/org/elasticsearch/Version.java

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public static final Version V_0_90_6 = new Version(V_0_90_6_ID, false, org.apache.lucene.util.Version.LUCENE_45);
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public static final int V_1_0_0_Beta1_ID = /*00*/1000001;
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public static final Version V_1_0_0_Beta1 = new Version(V_1_0_0_Beta1_ID, true, org.apache.lucene.util.Version.LUCENE_45);
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public static final Version V_1_0_0_Beta1 = new Version(V_1_0_0_Beta1_ID, false, org.apache.lucene.util.Version.LUCENE_45);
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public static final Version CURRENT = V_1_0_0_Beta1;
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