Class PatternTokenizer
This tokenizer uses regex pattern matching to construct distinct tokens for the input stream. It takes two arguments: "pattern" and "group".
- "pattern" is the regular expression.
- "group" says which group to extract into tokens.
group=-1 (the default) is equivalent to "split". In this case, the tokens will be equivalent to the output from (without empty tokens): Replace(string, string)
Using group >= 0 selects the matching group as the token. For example, if you have:
pattern = \'([^\']+)\'
group = 0
input = aaa 'bbb' 'ccc'
the output will be two tokens: 'bbb' and 'ccc' (including the ' marks). With the same input
but using group=1, the output would be: bbb and ccc (no ' marks)
NOTE: This Lucene.Net.Analysis.Tokenizer does not output tokens that are of zero length.
Implements
Inherited Members
Namespace: Lucene.Net.Analysis.Pattern
Assembly: Lucene.Net.Analysis.Common.dll
Syntax
public sealed class PatternTokenizer : Tokenizer, IDisposable
Constructors
PatternTokenizer(AttributeFactory, TextReader, Regex, int)
creates a new PatternTokenizer returning tokens from group (-1 for split functionality)
Declaration
public PatternTokenizer(AttributeSource.AttributeFactory factory, TextReader input, Regex pattern, int group)
Parameters
Type | Name | Description |
---|---|---|
AttributeSource.AttributeFactory | factory | |
TextReader | input | |
Regex | pattern | |
int | group |
See Also
PatternTokenizer(TextReader, Regex, int)
creates a new PatternTokenizer returning tokens from group (-1 for split functionality)
Declaration
public PatternTokenizer(TextReader input, Regex pattern, int group)
Parameters
Type | Name | Description |
---|---|---|
TextReader | input | |
Regex | pattern | |
int | group |
See Also
Methods
End()
This method is called by the consumer after the last token has been
consumed, after Lucene.Net.Analysis.TokenStream.IncrementToken() returned false
(using the new Lucene.Net.Analysis.TokenStream API). Streams implementing the old API
should upgrade to use this feature.
base.End();
.
Declaration
public override void End()
Overrides
Exceptions
Type | Condition |
---|---|
IOException | If an I/O error occurs |
See Also
IncrementToken()
Consumers (i.e., Lucene.Net.Index.IndexWriter) use this method to advance the stream to the next token. Implementing classes must implement this method and update the appropriate Lucene.Net.Util.IAttributes with the attributes of the next token.
The producer must make no assumptions about the attributes after the method has been returned: the caller may arbitrarily change it. If the producer needs to preserve the state for subsequent calls, it can use Lucene.Net.Util.AttributeSource.CaptureState() to create a copy of the current attribute state. this method is called for every token of a document, so an efficient implementation is crucial for good performance. To avoid calls to Lucene.Net.Util.AttributeSource.AddAttribute<T>() and Lucene.Net.Util.AttributeSource.GetAttribute<T>(), references to all Lucene.Net.Util.IAttributes that this stream uses should be retrieved during instantiation. To ensure that filters and consumers know which attributes are available, the attributes must be added during instantiation. Filters and consumers are not required to check for availability of attributes in Lucene.Net.Analysis.TokenStream.IncrementToken().Declaration
public override bool IncrementToken()
Returns
Type | Description |
---|---|
bool | false for end of stream; true otherwise |
Overrides
See Also
Reset()
This method is called by a consumer before it begins consumption using Lucene.Net.Analysis.TokenStream.IncrementToken().
Resets this stream to a clean state. Stateful implementations must implement this method so that they can be reused, just as if they had been created fresh. If you override this method, always callbase.Reset()
, otherwise
some internal state will not be correctly reset (e.g., Lucene.Net.Analysis.Tokenizer will
throw InvalidOperationException on further usage).
Declaration
public override void Reset()