X-Git-Url: https://git.mdrn.pl/pylucene.git/blobdiff_plain/a2e61f0c04805cfcb8706176758d1283c7e3a55c..aaeed5504b982cf3545252ab528713250aa33eed:/lucene-java-3.5.0/lucene/src/java/org/apache/lucene/search/function/FieldScoreQuery.java diff --git a/lucene-java-3.5.0/lucene/src/java/org/apache/lucene/search/function/FieldScoreQuery.java b/lucene-java-3.5.0/lucene/src/java/org/apache/lucene/search/function/FieldScoreQuery.java new file mode 100755 index 0000000..cd71c15 --- /dev/null +++ b/lucene-java-3.5.0/lucene/src/java/org/apache/lucene/search/function/FieldScoreQuery.java @@ -0,0 +1,125 @@ +package org.apache.lucene.search.function; + +/** + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * A query that scores each document as the value of the numeric input field. + *

+ * The query matches all documents, and scores each document according to the numeric + * value of that field. + *

+ * It is assumed, and expected, that: + *

+ *

+ * Combining this query in a FunctionQuery allows much freedom in affecting document scores. + * Note, that with this freedom comes responsibility: it is more than likely that the + * default Lucene scoring is superior in quality to scoring modified as explained here. + * However, in some cases, and certainly for research experiments, this capability may turn useful. + *

+ * When constructing this query, select the appropriate type. That type should match the data stored in the + * field. So in fact the "right" type should be selected before indexing. Type selection + * has effect on the RAM usage: + *

+ *

+ * Caching: + * Values for the numeric field are loaded once and cached in memory for further use with the same IndexReader. + * To take advantage of this, it is extremely important to reuse index-readers or index-searchers, + * otherwise, for instance if for each query a new index reader is opened, large penalties would be + * paid for loading the field values into memory over and over again! + * + * @lucene.experimental + */ +public class FieldScoreQuery extends ValueSourceQuery { + + /** + * Type of score field, indicating how field values are interpreted/parsed. + *

+ * The type selected at search search time should match the data stored in the field. + * Different types have different RAM requirements: + *

+ */ + public static class Type { + + /** field values are interpreted as numeric byte values. */ + public static final Type BYTE = new Type("byte"); + + /** field values are interpreted as numeric short values. */ + public static final Type SHORT = new Type("short"); + + /** field values are interpreted as numeric int values. */ + public static final Type INT = new Type("int"); + + /** field values are interpreted as numeric float values. */ + public static final Type FLOAT = new Type("float"); + + private String typeName; + private Type (String name) { + this.typeName = name; + } + /*(non-Javadoc) @see java.lang.Object#toString() */ + @Override + public String toString() { + return getClass().getName()+"::"+typeName; + } + } + + /** + * Create a FieldScoreQuery - a query that scores each document as the value of the numeric input field. + *

+ * The type param tells how to parse the field string values into a numeric score value. + * @param field the numeric field to be used. + * @param type the type of the field: either + * {@link Type#BYTE}, {@link Type#SHORT}, {@link Type#INT}, or {@link Type#FLOAT}. + */ + public FieldScoreQuery(String field, Type type) { + super(getValueSource(field,type)); + } + + // create the appropriate (cached) field value source. + private static ValueSource getValueSource(String field, Type type) { + if (type == Type.BYTE) { + return new ByteFieldSource(field); + } + if (type == Type.SHORT) { + return new ShortFieldSource(field); + } + if (type == Type.INT) { + return new IntFieldSource(field); + } + if (type == Type.FLOAT) { + return new FloatFieldSource(field); + } + throw new IllegalArgumentException(type+" is not a known Field Score Query Type!"); + } + +}