Limit analyzed text for highlighting (improvements) (#28808)

Increase the default limit of `index.highlight.max_analyzed_offset` to 1M instead of previous 10K.

Enhance an error message when offset increased to include field name, index name and doc_id.

Relates to https://github.com/elastic/kibana/issues/16764
This commit is contained in:
Mayya Sharipova 2018-03-02 08:09:05 -08:00 committed by GitHub
parent f207aacac0
commit f53d159aa1
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8 changed files with 24 additions and 30 deletions

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@ -202,7 +202,7 @@ specific index module:
The maximum number of characters that will be analyzed for a highlight request.
This setting is only applicable when highlighting is requested on a text that was indexed without offsets or term vectors.
Defaults to `10000`.
Defaults to `1000000`.
`index.max_terms_count`::

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@ -21,5 +21,5 @@ Highlighting a text that was indexed without offsets or term vectors,
requires analysis of this text in memory real time during the search request.
For large texts this analysis may take substantial amount of time and memory.
To protect against this, the maximum number of characters that will be analyzed has been
limited to 10000. This default limit can be changed
limited to 1000000. This default limit can be changed
for a particular index with the index setting `index.highlight.max_analyzed_offset`.

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@ -104,7 +104,7 @@ needs highlighting. The `plain` highlighter always uses plain highlighting.
[WARNING]
Plain highlighting for large texts may require substantial amount of time and memory.
To protect against this, the maximum number of text characters that will be analyzed has been
limited to 10000. This default limit can be changed
limited to 1000000. This default limit can be changed
for a particular index with the index setting `index.highlight.max_analyzed_offset`.
[[highlighting-settings]]

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@ -37,7 +37,6 @@ import org.apache.lucene.util.automaton.CharacterRunAutomaton;
import org.elasticsearch.common.Nullable;
import org.elasticsearch.common.lucene.search.MultiPhrasePrefixQuery;
import org.elasticsearch.common.lucene.search.function.FunctionScoreQuery;
import org.elasticsearch.index.IndexSettings;
import org.elasticsearch.index.search.ESToParentBlockJoinQuery;
import java.io.IOException;
@ -68,7 +67,6 @@ public class CustomUnifiedHighlighter extends UnifiedHighlighter {
private final BreakIterator breakIterator;
private final Locale breakIteratorLocale;
private final int noMatchSize;
private final int maxAnalyzedOffset;
/**
* Creates a new instance of {@link CustomUnifiedHighlighter}
@ -83,7 +81,6 @@ public class CustomUnifiedHighlighter extends UnifiedHighlighter {
* If null {@link BreakIterator#getSentenceInstance(Locale)} is used.
* @param fieldValue the original field values delimited by MULTIVAL_SEP_CHAR.
* @param noMatchSize The size of the text that should be returned when no highlighting can be performed.
* @param maxAnalyzedOffset The maximum number of characters that will be analyzed for highlighting.
*/
public CustomUnifiedHighlighter(IndexSearcher searcher,
Analyzer analyzer,
@ -92,8 +89,7 @@ public class CustomUnifiedHighlighter extends UnifiedHighlighter {
@Nullable Locale breakIteratorLocale,
@Nullable BreakIterator breakIterator,
String fieldValue,
int noMatchSize,
int maxAnalyzedOffset) {
int noMatchSize) {
super(searcher, analyzer);
this.offsetSource = offsetSource;
this.breakIterator = breakIterator;
@ -101,7 +97,6 @@ public class CustomUnifiedHighlighter extends UnifiedHighlighter {
this.passageFormatter = passageFormatter;
this.fieldValue = fieldValue;
this.noMatchSize = noMatchSize;
this.maxAnalyzedOffset = maxAnalyzedOffset;
}
/**
@ -125,13 +120,6 @@ public class CustomUnifiedHighlighter extends UnifiedHighlighter {
@Override
protected List<CharSequence[]> loadFieldValues(String[] fields, DocIdSetIterator docIter,
int cacheCharsThreshold) throws IOException {
if ((offsetSource == OffsetSource.ANALYSIS) && (fieldValue.length() > maxAnalyzedOffset)) {
throw new IllegalArgumentException(
"The length of the text to be analyzed for highlighting has exceeded the allowed maximum of [" +
maxAnalyzedOffset + "]. " + "This maximum can be set by changing the [" +
IndexSettings.MAX_ANALYZED_OFFSET_SETTING.getKey() + "] index level setting. " +
"For large texts, indexing with offsets or term vectors is recommended!");
}
// we only highlight one field, one document at a time
return Collections.singletonList(new String[]{fieldValue});
}

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@ -123,11 +123,11 @@ public final class IndexSettings {
* A setting describing the maximum number of characters that will be analyzed for a highlight request.
* This setting is only applicable when highlighting is requested on a text that was indexed without
* offsets or term vectors.
* The default maximum of 10000 characters is defensive as for highlighting larger texts,
* The default maximum of 1M characters is defensive as for highlighting larger texts,
* indexing with offsets or term vectors is recommended.
*/
public static final Setting<Integer> MAX_ANALYZED_OFFSET_SETTING =
Setting.intSetting("index.highlight.max_analyzed_offset", 10000, 1, Property.Dynamic, Property.IndexScope);
Setting.intSetting("index.highlight.max_analyzed_offset", 1000000, 1, Property.Dynamic, Property.IndexScope);
/**

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@ -113,11 +113,12 @@ public class PlainHighlighter implements Highlighter {
String text = convertFieldValue(mapper.fieldType(), textToHighlight);
if (text.length() > maxAnalyzedOffset) {
throw new IllegalArgumentException(
"The length of the text to be analyzed for highlighting has exceeded the allowed maximum of [" +
maxAnalyzedOffset + "]. " + "This maximum can be set by changing the [" +
IndexSettings.MAX_ANALYZED_OFFSET_SETTING.getKey() + "] index level setting. " +
"For large texts, indexing with offsets or term vectors, and highlighting with unified or " +
"fvh highlighter is recommended!");
"The length of [" + highlighterContext.fieldName + "] field of [" + hitContext.hit().getId() +
"] doc of [" + context.indexShard().shardId().getIndexName() + "] index " +
"has exceeded [" + maxAnalyzedOffset + "] - maximum allowed to be analyzed for highlighting. " +
"This maximum can be set by changing the [" + IndexSettings.MAX_ANALYZED_OFFSET_SETTING.getKey() +
"] index level setting. " + "For large texts, indexing with offsets or term vectors, and highlighting " +
"with unified or fvh highlighter is recommended!");
}
try (TokenStream tokenStream = analyzer.tokenStream(mapper.fieldType().name(), text)) {

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@ -32,11 +32,11 @@ import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.CollectionUtil;
import org.elasticsearch.common.Strings;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.IndexSettings;
import org.elasticsearch.index.mapper.DocumentMapper;
import org.elasticsearch.index.mapper.FieldMapper;
import org.elasticsearch.index.mapper.KeywordFieldMapper;
import org.elasticsearch.index.mapper.MappedFieldType;
import org.elasticsearch.index.mapper.MapperService;
import org.elasticsearch.search.fetch.FetchPhaseExecutionException;
import org.elasticsearch.search.fetch.FetchSubPhase;
import org.elasticsearch.search.internal.SearchContext;
@ -44,10 +44,8 @@ import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
import java.text.BreakIterator;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.stream.Collectors;
import static org.apache.lucene.search.uhighlight.CustomUnifiedHighlighter.MULTIVAL_SEP_CHAR;
@ -83,21 +81,28 @@ public class UnifiedHighlighter implements Highlighter {
final CustomUnifiedHighlighter highlighter;
final String fieldValue = mergeFieldValues(fieldValues, MULTIVAL_SEP_CHAR);
final OffsetSource offsetSource = getOffsetSource(fieldMapper.fieldType());
if ((offsetSource == OffsetSource.ANALYSIS) && (fieldValue.length() > maxAnalyzedOffset)) {
throw new IllegalArgumentException(
"The length of [" + highlighterContext.fieldName + "] field of [" + hitContext.hit().getId() +
"] doc of [" + context.indexShard().shardId().getIndexName() + "] index " + "has exceeded [" +
maxAnalyzedOffset + "] - maximum allowed to be analyzed for highlighting. " +
"This maximum can be set by changing the [" + IndexSettings.MAX_ANALYZED_OFFSET_SETTING.getKey() +
"] index level setting. " + "For large texts, indexing with offsets or term vectors is recommended!");
}
if (field.fieldOptions().numberOfFragments() == 0) {
// we use a control char to separate values, which is the only char that the custom break iterator
// breaks the text on, so we don't lose the distinction between the different values of a field and we
// get back a snippet per value
CustomSeparatorBreakIterator breakIterator = new CustomSeparatorBreakIterator(MULTIVAL_SEP_CHAR);
highlighter = new CustomUnifiedHighlighter(searcher, analyzer, offsetSource, passageFormatter,
field.fieldOptions().boundaryScannerLocale(), breakIterator, fieldValue, field.fieldOptions().noMatchSize(),
maxAnalyzedOffset);
field.fieldOptions().boundaryScannerLocale(), breakIterator, fieldValue, field.fieldOptions().noMatchSize());
numberOfFragments = fieldValues.size(); // we are highlighting the whole content, one snippet per value
} else {
//using paragraph separator we make sure that each field value holds a discrete passage for highlighting
BreakIterator bi = getBreakIterator(field);
highlighter = new CustomUnifiedHighlighter(searcher, analyzer, offsetSource, passageFormatter,
field.fieldOptions().boundaryScannerLocale(), bi,
fieldValue, field.fieldOptions().noMatchSize(), maxAnalyzedOffset);
fieldValue, field.fieldOptions().noMatchSize());
numberOfFragments = field.fieldOptions().numberOfFragments();
}

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@ -78,7 +78,7 @@ public class CustomUnifiedHighlighterTests extends ESTestCase {
String rawValue = Strings.arrayToDelimitedString(inputs, String.valueOf(MULTIVAL_SEP_CHAR));
CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, analyzer, null,
new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder()), locale,
breakIterator, rawValue, noMatchSize, 10000);
breakIterator, rawValue, noMatchSize);
highlighter.setFieldMatcher((name) -> "text".equals(name));
final Snippet[] snippets =
highlighter.highlightField("text", query, topDocs.scoreDocs[0].doc, expectedPassages.length);