package org.apache.lucene.document;
/**
* Copyright 2006 The Apache Software Foundation
*
* Licensed 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.
*/
/**
*
*
**/
public abstract class AbstractField implements Fieldable {
protected String name = "body";
protected boolean storeTermVector = false;
protected boolean storeOffsetWithTermVector = false;
protected boolean storePositionWithTermVector = false;
protected boolean omitNorms = false;
protected boolean isStored = false;
protected boolean isIndexed = true;
protected boolean isTokenized = true;
protected boolean isBinary = false;
protected boolean isCompressed = false;
protected boolean lazy = false;
protected float boost = 1.0f;
// the one and only data object for all different kind of field values
protected Object fieldsData = null;
protected AbstractField()
{
}
protected AbstractField(String name, Field.Store store, Field.Index index, Field.TermVector termVector) {
if (name == null)
throw new NullPointerException("name cannot be null");
this.name = name.intern(); // field names are interned
if (store == Field.Store.YES){
this.isStored = true;
this.isCompressed = false;
}
else if (store == Field.Store.COMPRESS) {
this.isStored = true;
this.isCompressed = true;
}
else if (store == Field.Store.NO){
this.isStored = false;
this.isCompressed = false;
}
else
throw new IllegalArgumentException("unknown store parameter " + store);
if (index == Field.Index.NO) {
this.isIndexed = false;
this.isTokenized = false;
} else if (index == Field.Index.TOKENIZED) {
this.isIndexed = true;
this.isTokenized = true;
} else if (index == Field.Index.UN_TOKENIZED) {
this.isIndexed = true;
this.isTokenized = false;
} else if (index == Field.Index.NO_NORMS) {
this.isIndexed = true;
this.isTokenized = false;
this.omitNorms = true;
} else {
throw new IllegalArgumentException("unknown index parameter " + index);
}
this.isBinary = false;
setStoreTermVector(termVector);
}
/** Sets the boost factor hits on this field. This value will be
* multiplied into the score of all hits on this this field of this
* document.
*
* The boost is multiplied by {@link org.apache.lucene.document.Document#getBoost()} of the document
* containing this field. If a document has multiple fields with the same
* name, all such values are multiplied together. This product is then
* multipled by the value {@link org.apache.lucene.search.Similarity#lengthNorm(String,int)}, and
* rounded by {@link org.apache.lucene.search.Similarity#encodeNorm(float)} before it is stored in the
* index. One should attempt to ensure that this product does not overflow
* the range of that encoding.
*
* @see org.apache.lucene.document.Document#setBoost(float)
* @see org.apache.lucene.search.Similarity#lengthNorm(String, int)
* @see org.apache.lucene.search.Similarity#encodeNorm(float)
*/
public void setBoost(float boost) {
this.boost = boost;
}
/** Returns the boost factor for hits for this field.
*
*
The default value is 1.0.
*
*
Note: this value is not stored directly with the document in the index.
* Documents returned from {@link org.apache.lucene.index.IndexReader#document(int)} and
* {@link org.apache.lucene.search.Hits#doc(int)} may thus not have the same value present as when
* this field was indexed.
*
* @see #setBoost(float)
*/
public float getBoost() {
return boost;
}
/** Returns the name of the field as an interned string.
* For example "date", "title", "body", ...
*/
public String name() { return name; }
protected void setStoreTermVector(Field.TermVector termVector) {
if (termVector == Field.TermVector.NO) {
this.storeTermVector = false;
this.storePositionWithTermVector = false;
this.storeOffsetWithTermVector = false;
}
else if (termVector == Field.TermVector.YES) {
this.storeTermVector = true;
this.storePositionWithTermVector = false;
this.storeOffsetWithTermVector = false;
}
else if (termVector == Field.TermVector.WITH_POSITIONS) {
this.storeTermVector = true;
this.storePositionWithTermVector = true;
this.storeOffsetWithTermVector = false;
}
else if (termVector == Field.TermVector.WITH_OFFSETS) {
this.storeTermVector = true;
this.storePositionWithTermVector = false;
this.storeOffsetWithTermVector = true;
}
else if (termVector == Field.TermVector.WITH_POSITIONS_OFFSETS) {
this.storeTermVector = true;
this.storePositionWithTermVector = true;
this.storeOffsetWithTermVector = true;
}
else {
throw new IllegalArgumentException("unknown termVector parameter " + termVector);
}
}
/** True iff the value of the field is to be stored in the index for return
with search hits. It is an error for this to be true if a field is
Reader-valued. */
public final boolean isStored() { return isStored; }
/** True iff the value of the field is to be indexed, so that it may be
searched on. */
public final boolean isIndexed() { return isIndexed; }
/** True iff the value of the field should be tokenized as text prior to
indexing. Un-tokenized fields are indexed as a single word and may not be
Reader-valued. */
public final boolean isTokenized() { return isTokenized; }
/** True if the value of the field is stored and compressed within the index */
public final boolean isCompressed() { return isCompressed; }
/** True iff the term or terms used to index this field are stored as a term
* vector, available from {@link org.apache.lucene.index.IndexReader#getTermFreqVector(int,String)}.
* These methods do not provide access to the original content of the field,
* only to terms used to index it. If the original content must be
* preserved, use the stored attribute instead.
*
* @see org.apache.lucene.index.IndexReader#getTermFreqVector(int, String)
*/
public final boolean isTermVectorStored() { return storeTermVector; }
/**
* True iff terms are stored as term vector together with their offsets
* (start and end positon in source text).
*/
public boolean isStoreOffsetWithTermVector(){
return storeOffsetWithTermVector;
}
/**
* True iff terms are stored as term vector together with their token positions.
*/
public boolean isStorePositionWithTermVector(){
return storePositionWithTermVector;
}
/** True iff the value of the filed is stored as binary */
public final boolean isBinary() { return isBinary; }
/** True if norms are omitted for this indexed field */
public boolean getOmitNorms() { return omitNorms; }
/** Expert:
*
* If set, omit normalization factors associated with this indexed field.
* This effectively disables indexing boosts and length normalization for this field.
*/
public void setOmitNorms(boolean omitNorms) { this.omitNorms=omitNorms; }
public boolean isLazy() {
return lazy;
}
/** Prints a Field for human consumption. */
public final String toString() {
StringBuffer result = new StringBuffer();
if (isStored) {
result.append("stored");
if (isCompressed)
result.append("/compressed");
else
result.append("/uncompressed");
}
if (isIndexed) {
if (result.length() > 0)
result.append(",");
result.append("indexed");
}
if (isTokenized) {
if (result.length() > 0)
result.append(",");
result.append("tokenized");
}
if (storeTermVector) {
if (result.length() > 0)
result.append(",");
result.append("termVector");
}
if (storeOffsetWithTermVector) {
if (result.length() > 0)
result.append(",");
result.append("termVectorOffsets");
}
if (storePositionWithTermVector) {
if (result.length() > 0)
result.append(",");
result.append("termVectorPosition");
}
if (isBinary) {
if (result.length() > 0)
result.append(",");
result.append("binary");
}
if (omitNorms) {
result.append(",omitNorms");
}
if (lazy){
result.append(",lazy");
}
result.append('<');
result.append(name);
result.append(':');
if (fieldsData != null && lazy == false) {
result.append(fieldsData);
}
result.append('>');
return result.toString();
}
}
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