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java.lang.Objectorg.apache.lucene.document.AbstractField
public abstract class AbstractField
| Field Summary | |
|---|---|
protected int |
binaryLength
|
protected int |
binaryOffset
|
protected float |
boost
|
protected Object |
fieldsData
|
protected boolean |
isBinary
|
protected boolean |
isIndexed
|
protected boolean |
isStored
|
protected boolean |
isTokenized
|
protected boolean |
lazy
|
protected String |
name
|
protected boolean |
omitNorms
|
protected boolean |
omitTermFreqAndPositions
|
protected boolean |
storeOffsetWithTermVector
|
protected boolean |
storePositionWithTermVector
|
protected boolean |
storeTermVector
|
protected TokenStream |
tokenStream
|
| Constructor Summary | |
|---|---|
protected |
AbstractField()
|
protected |
AbstractField(String name,
Field.Store store,
Field.Index index,
Field.TermVector termVector)
|
| Method Summary | |
|---|---|
int |
getBinaryLength()
Returns length of byte[] segment that is used as value, if Field is not binary returned value is undefined |
int |
getBinaryOffset()
Returns offset into byte[] segment that is used as value, if Field is not binary returned value is undefined |
byte[] |
getBinaryValue()
Return the raw byte[] for the binary field. |
byte[] |
getBinaryValue(byte[] result)
Return the raw byte[] for the binary field. |
float |
getBoost()
Returns the boost factor for hits for this field. |
boolean |
getOmitNorms()
True if norms are omitted for this indexed field |
boolean |
getOmitTermFreqAndPositions()
|
boolean |
isBinary()
True iff the value of the filed is stored as binary |
boolean |
isIndexed()
True iff the value of the field is to be indexed, so that it may be searched on. |
boolean |
isLazy()
Indicates whether a Field is Lazy or not. |
boolean |
isStored()
True iff the value of the field is to be stored in the index for return with search hits. |
boolean |
isStoreOffsetWithTermVector()
True iff terms are stored as term vector together with their offsets (start and end position in source text). |
boolean |
isStorePositionWithTermVector()
True iff terms are stored as term vector together with their token positions. |
boolean |
isTermVectorStored()
True iff the term or terms used to index this field are stored as a term vector, available from IndexReader.getTermFreqVector(int,String). |
boolean |
isTokenized()
True iff the value of the field should be tokenized as text prior to indexing. |
String |
name()
Returns the name of the field as an interned string. |
void |
setBoost(float boost)
Sets the boost factor hits on this field. |
void |
setOmitNorms(boolean omitNorms)
Expert: If set, omit normalization factors associated with this indexed field. |
void |
setOmitTermFreqAndPositions(boolean omitTermFreqAndPositions)
Expert: If set, omit term freq, positions and payloads from postings for this field. |
protected void |
setStoreTermVector(Field.TermVector termVector)
|
String |
toString()
Prints a Field for human consumption. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface org.apache.lucene.document.Fieldable |
|---|
readerValue, stringValue, tokenStreamValue |
| Field Detail |
|---|
protected String name
protected boolean storeTermVector
protected boolean storeOffsetWithTermVector
protected boolean storePositionWithTermVector
protected boolean omitNorms
protected boolean isStored
protected boolean isIndexed
protected boolean isTokenized
protected boolean isBinary
protected boolean lazy
protected boolean omitTermFreqAndPositions
protected float boost
protected Object fieldsData
protected TokenStream tokenStream
protected int binaryLength
protected int binaryOffset
| Constructor Detail |
|---|
protected AbstractField()
protected AbstractField(String name,
Field.Store store,
Field.Index index,
Field.TermVector termVector)
| Method Detail |
|---|
public void setBoost(float boost)
The boost is multiplied by 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
used to compute the norm factor for the field. By
default, in the Similarity.computeNorm(String,
FieldInvertState) method, the boost value is multiplied
by the Similarity.lengthNorm(String,
int) and then
rounded by Similarity.encodeNormValue(float) before it is stored in the
index. One should attempt to ensure that this product does not overflow
the range of that encoding.
setBoost in interface FieldableDocument.setBoost(float),
Similarity.computeNorm(String, FieldInvertState),
Similarity.encodeNormValue(float)public float getBoost()
The default value is 1.0.
Note: this value is not stored directly with the document in the index.
Documents returned from IndexReader.document(int) and
Searcher.doc(int) may thus not have the same value present as when
this field was indexed.
getBoost in interface FieldablesetBoost(float)public String name()
name in interface Fieldableprotected void setStoreTermVector(Field.TermVector termVector)
public final boolean isStored()
isStored in interface Fieldablepublic final boolean isIndexed()
isIndexed in interface Fieldablepublic final boolean isTokenized()
isTokenized in interface Fieldablepublic final boolean isTermVectorStored()
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.
isTermVectorStored in interface FieldableIndexReader.getTermFreqVector(int, String)public boolean isStoreOffsetWithTermVector()
isStoreOffsetWithTermVector in interface Fieldablepublic boolean isStorePositionWithTermVector()
isStorePositionWithTermVector in interface Fieldablepublic final boolean isBinary()
isBinary in interface Fieldablepublic byte[] getBinaryValue()
getBinaryLength() and getBinaryOffset() to know which range of bytes in this
returned array belong to the field.
getBinaryValue in interface Fieldablepublic byte[] getBinaryValue(byte[] result)
FieldableFieldable.getBinaryLength() and Fieldable.getBinaryOffset() to know which range of bytes in this
returned array belong to the field.
About reuse: if you pass in the result byte[] and it is
used, likely the underlying implementation will hold
onto this byte[] and return it in future calls to
Fieldable.getBinaryValue().
So if you subsequently re-use the same byte[] elsewhere
it will alter this Fieldable's value.
getBinaryValue in interface Fieldableresult - User defined buffer that will be used if
possible. If this is null or not large enough, a new
buffer is allocated
public int getBinaryLength()
getBinaryLength in interface Fieldablepublic int getBinaryOffset()
getBinaryOffset in interface Fieldablepublic boolean getOmitNorms()
getOmitNorms in interface Fieldablepublic boolean getOmitTermFreqAndPositions()
getOmitTermFreqAndPositions in interface FieldablesetOmitTermFreqAndPositions(boolean)public void setOmitNorms(boolean omitNorms)
setOmitNorms in interface Fieldablepublic void setOmitTermFreqAndPositions(boolean omitTermFreqAndPositions)
NOTE: While this option reduces storage space
required in the index, it also means any query
requiring positional information, such as PhraseQuery or SpanQuery subclasses will
silently fail to find results.
setOmitTermFreqAndPositions in interface Fieldablepublic boolean isLazy()
FieldableFieldable.stringValue() or Fieldable.getBinaryValue() is only valid as long as the IndexReader that
retrieved the Document is still open.
isLazy in interface Fieldablepublic final String toString()
toString in class Object
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