Class LegacyLongField

  • All Implemented Interfaces:

    Please use LongPoint instead

    public final class LegacyLongField
    extends Field

    Field that indexes long values for efficient range filtering and sorting. Here's an example usage:

     document.add(new LegacyLongField(name, 6L, Field.Store.NO));
    For optimal performance, re-use the LegacyLongField and Document instance for more than one document:
      LegacyLongField field = new LegacyLongField(name, 0L, Field.Store.NO);
      Document document = new Document();
      for(all documents) {
    See also LegacyIntField, LegacyFloatField, LegacyDoubleField. Any type that can be converted to long can also be indexed. For example, date/time values represented by a Date can be translated into a long value using the Date.getTime() method. If you don't need millisecond precision, you can quantize the value, either by dividing the result of Date.getTime() or using the separate getters (for year, month, etc.) to construct an int or long value.

    To perform range querying or filtering against a LegacyLongField, use LegacyNumericRangeQuery. To sort according to a LegacyLongField, use the normal numeric sort types, eg SortField.Type.LONG. LegacyLongField values can also be loaded directly from LeafReader.getNumericDocValues(java.lang.String).

    You may add the same field name as an LegacyLongField to the same document more than once. Range querying and filtering will be the logical OR of all values; so a range query will hit all documents that have at least one value in the range. However sort behavior is not defined. If you need to sort, you should separately index a single-valued LegacyLongField.

    A LegacyLongField will consume somewhat more disk space in the index than an ordinary single-valued field. However, for a typical index that includes substantial textual content per document, this increase will likely be in the noise.

    Within Lucene, each numeric value is indexed as a trie structure, where each term is logically assigned to larger and larger pre-defined brackets (which are simply lower-precision representations of the value). The step size between each successive bracket is called the precisionStep, measured in bits. Smaller precisionStep values result in larger number of brackets, which consumes more disk space in the index but may result in faster range search performance. The default value, 16, was selected for a reasonable tradeoff of disk space consumption versus performance. You can create a custom FieldType and invoke the FieldType.setNumericPrecisionStep(int) method if you'd like to change the value. Note that you must also specify a congruent value when creating LegacyNumericRangeQuery. For low cardinality fields larger precision steps are good. If the cardinality is < 100, it is fair to use Integer.MAX_VALUE, which produces one term per value.

    For more information on the internals of numeric trie indexing, including the precisionStep configuration, see LegacyNumericRangeQuery. The format of indexed values is described in LegacyNumericUtils.

    If you only need to sort by numeric value, and never run range querying/filtering, you can index using a precisionStep of Integer.MAX_VALUE. This will minimize disk space consumed.

    More advanced users can instead use LegacyNumericTokenStream directly, when indexing numbers. This class is a wrapper around this token stream type for easier, more intuitive usage.