Add configurable `maxTokenLength` parameter to whitespace tokenizer (#26749)

Other tokenizers like the standard tokenizer allow overriding the default
maximum token length of 255 using the `"max_token_length` parameter. This change
enables using this parameter also with the whitespace tokenizer. The range that
is currently allowed is from 0 to StandardTokenizer.MAX_TOKEN_LENGTH_LIMIT,
which is 1024 * 1024 = 1048576 characters.

Closes #26643
This commit is contained in:
Christoph Büscher 2017-09-25 17:21:19 +02:00 committed by GitHub
parent 324ee8cc96
commit 3827918417
3 changed files with 97 additions and 2 deletions

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@ -19,20 +19,26 @@
package org.elasticsearch.index.analysis;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.env.Environment;
import org.elasticsearch.index.IndexSettings;
public class WhitespaceTokenizerFactory extends AbstractTokenizerFactory {
static final String MAX_TOKEN_LENGTH = "max_token_length";
private Integer maxTokenLength;
public WhitespaceTokenizerFactory(IndexSettings indexSettings, Environment environment, String name, Settings settings) {
super(indexSettings, name, settings);
maxTokenLength = settings.getAsInt(MAX_TOKEN_LENGTH, StandardAnalyzer.DEFAULT_MAX_TOKEN_LENGTH);
}
@Override
public Tokenizer create() {
return new WhitespaceTokenizer();
return new WhitespaceTokenizer(TokenStream.DEFAULT_TOKEN_ATTRIBUTE_FACTORY, maxTokenLength);
}
}

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@ -0,0 +1,83 @@
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*/
package org.elasticsearch.index.analysis;
import com.carrotsearch.randomizedtesting.generators.RandomStrings;
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.elasticsearch.Version;
import org.elasticsearch.cluster.metadata.IndexMetaData;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.index.Index;
import org.elasticsearch.index.IndexSettings;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.test.IndexSettingsModule;
import java.io.IOException;
import java.io.Reader;
import java.io.StringReader;
import static org.apache.lucene.analysis.BaseTokenStreamTestCase.assertTokenStreamContents;
public class WhitespaceTokenizerFactoryTests extends ESTestCase {
public void testSimpleWhiteSpaceTokenizer() throws IOException {
final Settings indexSettings = Settings.builder().put(IndexMetaData.SETTING_VERSION_CREATED, Version.CURRENT).build();
IndexSettings indexProperties = IndexSettingsModule.newIndexSettings(new Index("test", "_na_"), indexSettings);
WhitespaceTokenizer tokenizer = (WhitespaceTokenizer) new WhitespaceTokenizerFactory(indexProperties, null, "whitespace_maxlen",
Settings.EMPTY).create();
try (Reader reader = new StringReader("one, two, three")) {
tokenizer.setReader(reader);
assertTokenStreamContents(tokenizer, new String[] { "one,", "two,", "three" });
}
}
public void testMaxTokenLength() throws IOException {
final Settings indexSettings = Settings.builder().put(IndexMetaData.SETTING_VERSION_CREATED, Version.CURRENT).build();
IndexSettings indexProperties = IndexSettingsModule.newIndexSettings(new Index("test", "_na_"), indexSettings);
final Settings settings = Settings.builder().put(WhitespaceTokenizerFactory.MAX_TOKEN_LENGTH, 2).build();
WhitespaceTokenizer tokenizer = (WhitespaceTokenizer) new WhitespaceTokenizerFactory(indexProperties, null, "whitespace_maxlen",
settings).create();
try (Reader reader = new StringReader("one, two, three")) {
tokenizer.setReader(reader);
assertTokenStreamContents(tokenizer, new String[] { "on", "e,", "tw", "o,", "th", "re", "e" });
}
final Settings defaultSettings = Settings.EMPTY;
tokenizer = (WhitespaceTokenizer) new WhitespaceTokenizerFactory(indexProperties, null, "whitespace_maxlen", defaultSettings)
.create();
String veryLongToken = RandomStrings.randomAsciiAlphanumOfLength(random(), 256);
try (Reader reader = new StringReader(veryLongToken)) {
tokenizer.setReader(reader);
assertTokenStreamContents(tokenizer, new String[] { veryLongToken.substring(0, 255), veryLongToken.substring(255) });
}
final Settings tooLongSettings = Settings.builder().put(WhitespaceTokenizerFactory.MAX_TOKEN_LENGTH, 1024 * 1024 + 1).build();
IllegalArgumentException e = expectThrows(IllegalArgumentException.class,
() -> new WhitespaceTokenizerFactory(indexProperties, null, "whitespace_maxlen", tooLongSettings).create());
assertEquals("maxTokenLen must be greater than 0 and less than 1048576 passed: 1048577", e.getMessage());
final Settings negativeSettings = Settings.builder().put(WhitespaceTokenizerFactory.MAX_TOKEN_LENGTH, -1).build();
e = expectThrows(IllegalArgumentException.class,
() -> new WhitespaceTokenizerFactory(indexProperties, null, "whitespace_maxlen", negativeSettings).create());
assertEquals("maxTokenLen must be greater than 0 and less than 1048576 passed: -1", e.getMessage());
}
}

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@ -111,4 +111,10 @@ The above sentence would produce the following terms:
[float]
=== Configuration
The `whitespace` tokenizer is not configurable.
The `whitespace` tokenizer accepts the following parameters:
[horizontal]
`max_token_length`::
The maximum token length. If a token is seen that exceeds this length then
it is split at `max_token_length` intervals. Defaults to `255`.