abstract public int getBinaryLength()
Returns length of byte[] segment that is used as value, if Field is not binary
returned value is undefined

 abstract public int getBinaryOffset()
Returns offset into byte[] segment that is used as value, if Field is not binary
returned value is undefined

 abstract public byte[] getBinaryValue()
Return the raw byte[] for the binary field.  Note that
you must also call #getBinaryLength  and #getBinaryOffset  to know which range of bytes in this
returned array belong to the field.

 abstract public byte[] getBinaryValue(byte[] result)
Return the raw byte[] for the binary field.  Note that
you must also call #getBinaryLength  and #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
#getBinaryValue() .
So if you subsequently re-use the same byte[] elsewhere
it will alter this Fieldable's value.

 public float getBoost()
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 org.apache.lucene.index.IndexReader#document(int)  and
org.apache.lucene.search.Searcher#doc(int)  may thus not have the same value present as when
this field was indexed.

 public boolean getOmitNorms()
True if norms are omitted for this indexed field

 public boolean getOmitTermFreqAndPositions()

 public boolean isBinary()
True if the value of the field is stored as binary

 public boolean isIndexed()
True if the value of the field is to be indexed, so that it may be
searched on.

 public boolean isLazy()
Indicates whether a Field is Lazy or not.  The semantics of Lazy loading are such that if a Field is lazily loaded, retrieving
it's values via #stringValue()  or #getBinaryValue()  is only valid as long as the org.apache.lucene.index.IndexReader  that
retrieved the Document  is still open.

 public boolean isStoreOffsetWithTermVector()
True if terms are stored as term vector together with their offsets 
(start and end positon in source text).

 public boolean isStorePositionWithTermVector()
True if terms are stored as term vector together with their token positions.

 public boolean isStored()
True if the value of the field is to be stored in the index for return
with search hits.

 public boolean isTermVectorStored()
True if the term or terms used to index this field are stored as a term
 vector, available from 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.

 public boolean isTokenized()
True if 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 String name()
Returns the name of the field as an interned string.
For example "date", "title", "body", ...

 public Reader readerValue()
The value of the field as a Reader, which can be used at index time to generate indexed tokens.

 public  void setBoost(float boost)
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 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
used to compute the norm factor for the field.  By
default, in the org.apache.lucene.search.Similarity#computeNorm(String,
FieldInvertState)  method, the boost value is multiplied
by the org.apache.lucene.search.Similarity#lengthNorm(String,
int)  and then rounded by 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.

 public  void setOmitNorms(boolean 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 setOmitTermFreqAndPositions(boolean omitTermFreqAndPositions)
Expert:

If set, omit term freq, positions and payloads from
postings for this field.

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.

 public String stringValue()
The value of the field as a String, or null.

For indexing, if isStored()==true, the stringValue() will be used as the stored field value
unless isBinary()==true, in which case getBinaryValue() will be used.

If isIndexed()==true and isTokenized()==false, this String value will be indexed as a single token.
If isIndexed()==true and isTokenized()==true, then tokenStreamValue() will be used to generate indexed tokens if not null,
else readerValue() will be used to generate indexed tokens if not null, else stringValue() will be used to generate tokens.

 public TokenStream tokenStreamValue()
The TokenStream for this field to be used when indexing, or null.