## org.apache.lucene.search
Class DocTermOrdsRangeFilter

    java.lang.Object
      org.apache.lucene.search.Filter
          org.apache.lucene.search.DocTermOrdsRangeFilter

    public abstract class DocTermOrdsRangeFilter

extends Filter

A range filter built on top of a cached multi-valued term field (in `FieldCache`).

Like `FieldCacheRangeFilter`, this is just a specialized range query versus using a TermRangeQuery with `DocTermOrdsRewriteMethod`: it will only do two ordinal to term lookups.

Method Summary
`boolean` `equals(Object o)`
`abstract DocIdSet` `getDocIdSet(AtomicReaderContext context, Bits acceptDocs)` This method is implemented for each data type
`String` `getField()` Returns the field name for this filter
`BytesRef` `getLowerVal()` Returns the lower value of this range filter
`BytesRef` `getUpperVal()` Returns the upper value of this range filter
`int` `hashCode()`
`boolean` `includesLower()` Returns `true` if the lower endpoint is inclusive
`boolean` `includesUpper()` Returns `true` if the upper endpoint is inclusive
`static DocTermOrdsRangeFilter` `newBytesRefRange(String field, BytesRef lowerVal, BytesRef upperVal, boolean includeLower, boolean includeUpper)` Creates a BytesRef range filter using `FieldCache.getTermsIndex(org.apache.lucene.index.AtomicReader, java.lang.String)`.
`String` `toString()`

Methods inherited from class java.lang.Object
`clone, finalize, getClass, notify, notifyAll, wait, wait, wait`

Method Detail

### getDocIdSet

    public abstract DocIdSet getDocIdSet(AtomicReaderContext context,
                                         Bits acceptDocs)
                                  throws IOException

  This method is implemented for each data type

  Specified by:
    `getDocIdSet` in class `Filter`
  Parameters:
    `context` - a `AtomicReaderContext` instance opened on the index currently searched on. Note, it is likely that the provided reader info does not represent the whole underlying index i.e. if the index has more than one segment the given reader only represents a single segment. The provided context is always an atomic context, so you can call `AtomicReader.fields()` on the context's reader, for example.
    `acceptDocs` - Bits that represent the allowable docs to match (typically deleted docs but possibly filtering other documents)
  Returns:
    a DocIdSet that provides the documents which should be permitted or prohibited in search results. NOTE: `null` should be returned if the filter doesn't accept any documents otherwise internal optimization might not apply in the case an empty `DocIdSet` is returned.
  Throws:
    `IOException`

### newBytesRefRange

    public static DocTermOrdsRangeFilter newBytesRefRange(String field,
                                                          BytesRef lowerVal,
                                                          BytesRef upperVal,
                                                          boolean includeLower,
                                                          boolean includeUpper)

  Creates a BytesRef range filter using `FieldCache.getTermsIndex(org.apache.lucene.index.AtomicReader, java.lang.String)`. This works with all fields containing zero or one term in the field. The range can be half-open by setting one of the values to `null`.

### toString

    public final String toString()

  Overrides:
    `toString` in class `Object`

### equals

    public final boolean equals(Object o)

  Overrides:
    `equals` in class `Object`

### hashCode

    public final int hashCode()

  Overrides:
    `hashCode` in class `Object`

### getField

    public String getField()

  Returns the field name for this filter

### includesLower

    public boolean includesLower()

  Returns `true` if the lower endpoint is inclusive

### includesUpper

    public boolean includesUpper()

  Returns `true` if the upper endpoint is inclusive

### getLowerVal

    public BytesRef getLowerVal()

  Returns the lower value of this range filter

### getUpperVal

    public BytesRef getUpperVal()

  Returns the upper value of this range filter

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