Merge pull request #13870 from mikemccand/close_tokenstream
Close TokenStream in finally clause
This commit is contained in:
commit
5278cf0d5e
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@ -26,6 +26,7 @@ import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.search.*;
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import org.apache.lucene.util.automaton.RegExp;
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import org.apache.lucene.util.IOUtils;
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import org.elasticsearch.common.lucene.search.Queries;
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import org.elasticsearch.common.unit.Fuzziness;
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import org.elasticsearch.index.mapper.MappedFieldType;
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@ -484,30 +485,31 @@ public class MapperQueryParser extends QueryParser {
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if (!settings.analyzeWildcard()) {
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return super.getPrefixQuery(field, termStr);
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}
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List<String> tlist;
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// get Analyzer from superclass and tokenize the term
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TokenStream source;
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TokenStream source = null;
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try {
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source = getAnalyzer().tokenStream(field, termStr);
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source.reset();
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} catch (IOException e) {
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return super.getPrefixQuery(field, termStr);
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}
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List<String> tlist = new ArrayList<>();
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CharTermAttribute termAtt = source.addAttribute(CharTermAttribute.class);
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while (true) {
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try {
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if (!source.incrementToken()) break;
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source = getAnalyzer().tokenStream(field, termStr);
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source.reset();
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} catch (IOException e) {
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break;
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return super.getPrefixQuery(field, termStr);
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}
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tlist.add(termAtt.toString());
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}
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tlist = new ArrayList<>();
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CharTermAttribute termAtt = source.addAttribute(CharTermAttribute.class);
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try {
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source.close();
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} catch (IOException e) {
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// ignore
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while (true) {
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try {
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if (!source.incrementToken()) break;
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} catch (IOException e) {
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break;
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}
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tlist.add(termAtt.toString());
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}
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} finally {
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if (source != null) {
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IOUtils.closeWhileHandlingException(source);
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}
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}
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if (tlist.size() == 1) {
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@ -617,8 +619,7 @@ public class MapperQueryParser extends QueryParser {
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char c = termStr.charAt(i);
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if (c == '?' || c == '*') {
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if (isWithinToken) {
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try {
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TokenStream source = getAnalyzer().tokenStream(field, tmp.toString());
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try (TokenStream source = getAnalyzer().tokenStream(field, tmp.toString())) {
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source.reset();
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CharTermAttribute termAtt = source.addAttribute(CharTermAttribute.class);
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if (source.incrementToken()) {
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@ -633,7 +634,6 @@ public class MapperQueryParser extends QueryParser {
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// no tokens, just use what we have now
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aggStr.append(tmp);
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}
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source.close();
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} catch (IOException e) {
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aggStr.append(tmp);
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}
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@ -648,22 +648,22 @@ public class MapperQueryParser extends QueryParser {
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}
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if (isWithinToken) {
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try {
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TokenStream source = getAnalyzer().tokenStream(field, tmp.toString());
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source.reset();
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CharTermAttribute termAtt = source.addAttribute(CharTermAttribute.class);
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if (source.incrementToken()) {
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String term = termAtt.toString();
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if (term.length() == 0) {
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try (TokenStream source = getAnalyzer().tokenStream(field, tmp.toString())) {
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source.reset();
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CharTermAttribute termAtt = source.addAttribute(CharTermAttribute.class);
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if (source.incrementToken()) {
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String term = termAtt.toString();
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if (term.length() == 0) {
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// no tokens, just use what we have now
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aggStr.append(tmp);
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} else {
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aggStr.append(term);
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}
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} else {
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// no tokens, just use what we have now
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aggStr.append(tmp);
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} else {
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aggStr.append(term);
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}
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} else {
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// no tokens, just use what we have now
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aggStr.append(tmp);
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}
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source.close();
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} catch (IOException e) {
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aggStr.append(tmp);
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}
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@ -959,11 +959,9 @@ public long ramBytesUsed() {
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// TODO: is there a Reader from a CharSequence?
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// Turn tokenstream into automaton:
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Automaton automaton = null;
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TokenStream ts = queryAnalyzer.tokenStream("", key.toString());
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try {
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try (TokenStream ts = queryAnalyzer.tokenStream("", key.toString())) {
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automaton = getTokenStreamToAutomaton().toAutomaton(ts);
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} finally {
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IOUtils.closeWhileHandlingException(ts);
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}
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automaton = replaceSep(automaton);
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@ -217,12 +217,10 @@ public class TransportAnalyzeAction extends TransportSingleShardAction<AnalyzeRe
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}
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List<AnalyzeResponse.AnalyzeToken> tokens = new ArrayList<>();
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TokenStream stream = null;
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int lastPosition = -1;
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int lastOffset = 0;
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for (String text : request.text()) {
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try {
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stream = analyzer.tokenStream(field, text);
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try (TokenStream stream = analyzer.tokenStream(field, text)) {
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stream.reset();
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CharTermAttribute term = stream.addAttribute(CharTermAttribute.class);
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PositionIncrementAttribute posIncr = stream.addAttribute(PositionIncrementAttribute.class);
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@ -243,11 +241,8 @@ public class TransportAnalyzeAction extends TransportSingleShardAction<AnalyzeRe
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lastPosition += analyzer.getPositionIncrementGap(field);
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lastOffset += analyzer.getOffsetGap(field);
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} catch (IOException e) {
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throw new ElasticsearchException("failed to analyze", e);
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} finally {
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IOUtils.closeWhileHandlingException(stream);
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}
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}
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@ -314,7 +314,9 @@ public class Analysis {
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* @see #isCharacterTokenStream(TokenStream)
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*/
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public static boolean generatesCharacterTokenStream(Analyzer analyzer, String fieldName) throws IOException {
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return isCharacterTokenStream(analyzer.tokenStream(fieldName, ""));
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try (TokenStream ts = analyzer.tokenStream(fieldName, "")) {
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return isCharacterTokenStream(ts);
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}
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}
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}
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@ -19,6 +19,7 @@
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package org.elasticsearch.index.mapper.core;
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import org.apache.lucene.analysis.Analyzer;
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import org.apache.lucene.analysis.TokenStream;
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import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
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import org.apache.lucene.document.Field;
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@ -145,7 +146,7 @@ public class TokenCountFieldMapper extends IntegerFieldMapper {
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if (valueAndBoost.value() == null) {
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count = fieldType().nullValue();
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} else {
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count = countPositions(analyzer.analyzer().tokenStream(simpleName(), valueAndBoost.value()));
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count = countPositions(analyzer, simpleName(), valueAndBoost.value());
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}
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addIntegerFields(context, fields, count, valueAndBoost.boost());
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}
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@ -156,12 +157,14 @@ public class TokenCountFieldMapper extends IntegerFieldMapper {
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/**
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* Count position increments in a token stream. Package private for testing.
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* @param tokenStream token stream to count
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* @param analyzer analyzer to create token stream
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* @param fieldName field name to pass to analyzer
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* @param fieldValue field value to pass to analyzer
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* @return number of position increments in a token stream
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* @throws IOException if tokenStream throws it
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*/
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static int countPositions(TokenStream tokenStream) throws IOException {
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try {
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static int countPositions(Analyzer analyzer, String fieldName, String fieldValue) throws IOException {
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try (TokenStream tokenStream = analyzer.tokenStream(fieldName, fieldValue)) {
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int count = 0;
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PositionIncrementAttribute position = tokenStream.addAttribute(PositionIncrementAttribute.class);
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tokenStream.reset();
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@ -171,8 +174,6 @@ public class TokenCountFieldMapper extends IntegerFieldMapper {
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tokenStream.end();
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count += position.getPositionIncrement();
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return count;
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} finally {
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tokenStream.close();
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}
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}
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@ -88,10 +88,11 @@ class MultiDocumentPercolatorIndex implements PercolatorIndex {
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try {
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// TODO: instead of passing null here, we can have a CTL<Map<String,TokenStream>> and pass previous,
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// like the indexer does
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TokenStream tokenStream = field.tokenStream(analyzer, null);
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if (tokenStream != null) {
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memoryIndex.addField(field.name(), tokenStream, field.boost());
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}
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try (TokenStream tokenStream = field.tokenStream(analyzer, null)) {
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if (tokenStream != null) {
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memoryIndex.addField(field.name(), tokenStream, field.boost());
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}
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}
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} catch (IOException e) {
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throw new ElasticsearchException("Failed to create token stream", e);
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}
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@ -56,10 +56,11 @@ class SingleDocumentPercolatorIndex implements PercolatorIndex {
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Analyzer analyzer = context.mapperService().documentMapper(parsedDocument.type()).mappers().indexAnalyzer();
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// TODO: instead of passing null here, we can have a CTL<Map<String,TokenStream>> and pass previous,
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// like the indexer does
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TokenStream tokenStream = field.tokenStream(analyzer, null);
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if (tokenStream != null) {
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memoryIndex.addField(field.name(), tokenStream, field.boost());
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}
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try (TokenStream tokenStream = field.tokenStream(analyzer, null)) {
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if (tokenStream != null) {
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memoryIndex.addField(field.name(), tokenStream, field.boost());
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}
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}
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} catch (Exception e) {
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throw new ElasticsearchException("Failed to create token stream for [" + field.name() + "]", e);
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}
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@ -33,6 +33,7 @@ import org.apache.lucene.search.highlight.SimpleSpanFragmenter;
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import org.apache.lucene.search.highlight.TextFragment;
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import org.apache.lucene.util.BytesRefHash;
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import org.apache.lucene.util.CollectionUtil;
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import org.apache.lucene.util.IOUtils;
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import org.elasticsearch.ExceptionsHelper;
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import org.elasticsearch.common.text.StringText;
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import org.elasticsearch.common.text.Text;
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@ -109,15 +110,16 @@ public class PlainHighlighter implements Highlighter {
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for (Object textToHighlight : textsToHighlight) {
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String text = textToHighlight.toString();
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TokenStream tokenStream = analyzer.tokenStream(mapper.fieldType().names().indexName(), text);
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if (!tokenStream.hasAttribute(CharTermAttribute.class) || !tokenStream.hasAttribute(OffsetAttribute.class)) {
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// can't perform highlighting if the stream has no terms (binary token stream) or no offsets
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continue;
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}
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TextFragment[] bestTextFragments = entry.getBestTextFragments(tokenStream, text, false, numberOfFragments);
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for (TextFragment bestTextFragment : bestTextFragments) {
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if (bestTextFragment != null && bestTextFragment.getScore() > 0) {
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fragsList.add(bestTextFragment);
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try (TokenStream tokenStream = analyzer.tokenStream(mapper.fieldType().names().indexName(), text)) {
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if (!tokenStream.hasAttribute(CharTermAttribute.class) || !tokenStream.hasAttribute(OffsetAttribute.class)) {
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// can't perform highlighting if the stream has no terms (binary token stream) or no offsets
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continue;
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}
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TextFragment[] bestTextFragments = entry.getBestTextFragments(tokenStream, text, false, numberOfFragments);
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for (TextFragment bestTextFragment : bestTextFragments) {
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if (bestTextFragment != null && bestTextFragment.getScore() > 0) {
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fragsList.add(bestTextFragment);
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}
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}
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}
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}
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@ -165,7 +167,7 @@ public class PlainHighlighter implements Highlighter {
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String fieldContents = textsToHighlight.get(0).toString();
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int end;
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try {
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end = findGoodEndForNoHighlightExcerpt(noMatchSize, analyzer.tokenStream(mapper.fieldType().names().indexName(), fieldContents));
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end = findGoodEndForNoHighlightExcerpt(noMatchSize, analyzer, mapper.fieldType().names().indexName(), fieldContents);
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} catch (Exception e) {
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throw new FetchPhaseExecutionException(context, "Failed to highlight field [" + highlighterContext.fieldName + "]", e);
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}
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@ -181,8 +183,8 @@ public class PlainHighlighter implements Highlighter {
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return true;
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}
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private static int findGoodEndForNoHighlightExcerpt(int noMatchSize, TokenStream tokenStream) throws IOException {
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try {
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private static int findGoodEndForNoHighlightExcerpt(int noMatchSize, Analyzer analyzer, String fieldName, String contents) throws IOException {
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try (TokenStream tokenStream = analyzer.tokenStream(fieldName, contents)) {
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if (!tokenStream.hasAttribute(OffsetAttribute.class)) {
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// Can't split on term boundaries without offsets
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return -1;
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@ -200,11 +202,9 @@ public class PlainHighlighter implements Highlighter {
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}
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end = attr.endOffset();
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}
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tokenStream.end();
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// We've exhausted the token stream so we should just highlight everything.
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return end;
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} finally {
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tokenStream.end();
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tokenStream.close();
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}
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}
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}
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@ -28,6 +28,7 @@ import org.apache.lucene.util.BytesRef;
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import org.apache.lucene.util.BytesRefBuilder;
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import org.apache.lucene.util.CharsRef;
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import org.apache.lucene.util.CharsRefBuilder;
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import org.apache.lucene.util.IOUtils;
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import org.apache.lucene.util.automaton.LevenshteinAutomata;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.ParseFieldMatcher;
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@ -116,22 +117,34 @@ public final class SuggestUtils {
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}
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public static int analyze(Analyzer analyzer, CharsRef toAnalyze, String field, TokenConsumer consumer) throws IOException {
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TokenStream ts = analyzer.tokenStream(
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field, new FastCharArrayReader(toAnalyze.chars, toAnalyze.offset, toAnalyze.length)
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);
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return analyze(ts, consumer);
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try (TokenStream ts = analyzer.tokenStream(
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field, new FastCharArrayReader(toAnalyze.chars, toAnalyze.offset, toAnalyze.length))) {
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return analyze(ts, consumer);
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}
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}
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/** NOTE: this method closes the TokenStream, even on exception, which is awkward
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* because really the caller who called {@link Analyzer#tokenStream} should close it,
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* but when trying that there are recursion issues when we try to use the same
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* TokenStrem twice in the same recursion... */
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public static int analyze(TokenStream stream, TokenConsumer consumer) throws IOException {
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stream.reset();
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consumer.reset(stream);
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int numTokens = 0;
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while (stream.incrementToken()) {
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consumer.nextToken();
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numTokens++;
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boolean success = false;
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try {
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stream.reset();
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consumer.reset(stream);
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while (stream.incrementToken()) {
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consumer.nextToken();
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numTokens++;
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}
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consumer.end();
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} finally {
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if (success) {
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stream.close();
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} else {
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IOUtils.closeWhileHandlingException(stream);
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}
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}
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consumer.end();
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stream.close();
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return numTokens;
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}
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@ -100,9 +100,7 @@ public final class CompletionTokenStream extends TokenStream {
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@Override
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public void close() throws IOException {
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if (posInc == -1) {
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input.close();
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}
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input.close();
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}
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public static interface ToFiniteStrings {
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@ -92,12 +92,13 @@ public final class PhraseSuggester extends Suggester<PhraseSuggestionContext> {
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if (gens.size() > 0 && suggestTerms != null) {
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final NoisyChannelSpellChecker checker = new NoisyChannelSpellChecker(realWordErrorLikelihood, suggestion.getRequireUnigram(), suggestion.getTokenLimit());
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final BytesRef separator = suggestion.separator();
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TokenStream stream = checker.tokenStream(suggestion.getAnalyzer(), suggestion.getText(), spare, suggestion.getField());
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WordScorer wordScorer = suggestion.model().newScorer(indexReader, suggestTerms, suggestField, realWordErrorLikelihood, separator);
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Result checkerResult = checker.getCorrections(stream, new MultiCandidateGeneratorWrapper(suggestion.getShardSize(),
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gens.toArray(new CandidateGenerator[gens.size()])), suggestion.maxErrors(),
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suggestion.getShardSize(), wordScorer, suggestion.confidence(), suggestion.gramSize());
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Result checkerResult;
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try (TokenStream stream = checker.tokenStream(suggestion.getAnalyzer(), suggestion.getText(), spare, suggestion.getField())) {
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checkerResult = checker.getCorrections(stream, new MultiCandidateGeneratorWrapper(suggestion.getShardSize(),
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gens.toArray(new CandidateGenerator[gens.size()])), suggestion.maxErrors(),
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suggestion.getShardSize(), wordScorer, suggestion.confidence(), suggestion.gramSize());
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}
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PhraseSuggestion.Entry resultEntry = buildResultEntry(suggestion, spare, checkerResult.cutoffScore);
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response.addTerm(resultEntry);
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@ -19,7 +19,9 @@
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package org.elasticsearch.index.mapper.core;
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import org.apache.lucene.analysis.Analyzer;
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import org.apache.lucene.analysis.CannedTokenStream;
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import org.apache.lucene.analysis.MockTokenizer;
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import org.apache.lucene.analysis.Token;
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import org.apache.lucene.analysis.TokenStream;
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import org.elasticsearch.common.xcontent.XContentFactory;
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@ -87,7 +89,14 @@ public class TokenCountFieldMapperTests extends ESSingleNodeTestCase {
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int finalTokenIncrement = 4; // Count the final token increment on the rare token streams that have them
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Token[] tokens = new Token[] {t1, t2, t3};
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Collections.shuffle(Arrays.asList(tokens), getRandom());
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TokenStream tokenStream = new CannedTokenStream(finalTokenIncrement, 0, tokens);
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assertThat(TokenCountFieldMapper.countPositions(tokenStream), equalTo(7));
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final TokenStream tokenStream = new CannedTokenStream(finalTokenIncrement, 0, tokens);
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// TODO: we have no CannedAnalyzer?
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Analyzer analyzer = new Analyzer() {
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@Override
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public TokenStreamComponents createComponents(String fieldName) {
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return new TokenStreamComponents(new MockTokenizer(), tokenStream);
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}
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};
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assertThat(TokenCountFieldMapper.countPositions(analyzer, "", ""), equalTo(7));
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}
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}
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