use of org.opensearch.search.suggest.Suggest.Suggestion in project OpenSearch by opensearch-project.
the class SuggestionTests method doTestFromXContent.
@SuppressWarnings({ "rawtypes" })
private void doTestFromXContent(boolean addRandomFields) throws IOException {
ToXContent.Params params = new ToXContent.MapParams(Collections.singletonMap(RestSearchAction.TYPED_KEYS_PARAM, "true"));
for (Class<Suggestion<? extends Entry<? extends Option>>> type : SUGGESTION_TYPES) {
Suggestion suggestion = createTestItem(type);
XContentType xContentType = randomFrom(XContentType.values());
boolean humanReadable = randomBoolean();
BytesReference originalBytes = toShuffledXContent(suggestion, xContentType, params, humanReadable);
BytesReference mutated;
if (addRandomFields) {
// - "contexts" is an object consisting of key/array pairs, we shouldn't add anything random there
// - there can be inner search hits fields inside this option where we cannot add random stuff
// - the root object should be excluded since it contains the named suggestion arrays
// We also exclude options that contain SearchHits, as all unknown fields
// on a root level of SearchHit are interpreted as meta-fields and will be kept.
Predicate<String> excludeFilter = path -> path.isEmpty() || path.endsWith(CompletionSuggestion.Entry.Option.CONTEXTS.getPreferredName()) || path.endsWith("highlight") || path.contains("fields") || path.contains("_source") || path.contains("inner_hits") || path.contains("options");
mutated = insertRandomFields(xContentType, originalBytes, excludeFilter, random());
} else {
mutated = originalBytes;
}
Suggestion parsed;
try (XContentParser parser = createParser(xContentType.xContent(), mutated)) {
ensureExpectedToken(XContentParser.Token.START_OBJECT, parser.nextToken(), parser);
ensureExpectedToken(XContentParser.Token.FIELD_NAME, parser.nextToken(), parser);
ensureExpectedToken(XContentParser.Token.START_ARRAY, parser.nextToken(), parser);
parsed = Suggestion.fromXContent(parser);
assertEquals(XContentParser.Token.END_OBJECT, parser.nextToken());
assertNull(parser.nextToken());
}
assertEquals(suggestion.getName(), parsed.getName());
assertEquals(suggestion.getEntries().size(), parsed.getEntries().size());
// We don't parse size via xContent, instead we set it to -1 on the client side
assertEquals(-1, parsed.getSize());
assertToXContentEquivalent(originalBytes, toXContent(parsed, xContentType, params, humanReadable), xContentType);
}
}
use of org.opensearch.search.suggest.Suggest.Suggestion in project OpenSearch by opensearch-project.
the class SuggestionTests method createTestItem.
@SuppressWarnings({ "unchecked", "rawtypes" })
public static Suggestion<? extends Entry<? extends Option>> createTestItem(Class<? extends Suggestion> type) {
String name = randomAlphaOfLengthBetween(5, 10);
// note: size will not be rendered via "toXContent", only passed on internally on transport layer
int size = randomInt();
Supplier<Entry> entrySupplier;
Suggestion suggestion;
if (type == TermSuggestion.class) {
suggestion = new TermSuggestion(name, size, randomFrom(SortBy.values()));
entrySupplier = () -> SuggestionEntryTests.createTestItem(TermSuggestion.Entry.class);
} else if (type == PhraseSuggestion.class) {
suggestion = new PhraseSuggestion(name, size);
entrySupplier = () -> SuggestionEntryTests.createTestItem(PhraseSuggestion.Entry.class);
} else if (type == CompletionSuggestion.class) {
suggestion = new CompletionSuggestion(name, size, randomBoolean());
entrySupplier = () -> SuggestionEntryTests.createTestItem(CompletionSuggestion.Entry.class);
} else {
throw new UnsupportedOperationException("type not supported [" + type + "]");
}
int numEntries;
if (frequently()) {
if (type == CompletionSuggestion.class) {
// CompletionSuggestion can have max. one entry
numEntries = 1;
} else {
numEntries = randomIntBetween(1, 5);
}
} else {
// also occasionally test zero entries
numEntries = 0;
}
for (int i = 0; i < numEntries; i++) {
suggestion.addTerm(entrySupplier.get());
}
return suggestion;
}
use of org.opensearch.search.suggest.Suggest.Suggestion in project OpenSearch by opensearch-project.
the class SuggestTests method testFromXContent.
public void testFromXContent() throws IOException {
ToXContent.Params params = new ToXContent.MapParams(Collections.singletonMap(RestSearchAction.TYPED_KEYS_PARAM, "true"));
Suggest suggest = createTestItem();
XContentType xContentType = randomFrom(XContentType.values());
boolean humanReadable = randomBoolean();
BytesReference originalBytes = toShuffledXContent(suggest, xContentType, params, humanReadable);
Suggest parsed;
try (XContentParser parser = createParser(xContentType.xContent(), originalBytes)) {
ensureExpectedToken(XContentParser.Token.START_OBJECT, parser.nextToken(), parser);
ensureFieldName(parser, parser.nextToken(), Suggest.NAME);
ensureExpectedToken(XContentParser.Token.START_OBJECT, parser.nextToken(), parser);
parsed = Suggest.fromXContent(parser);
assertEquals(XContentParser.Token.END_OBJECT, parser.currentToken());
assertEquals(XContentParser.Token.END_OBJECT, parser.nextToken());
assertNull(parser.nextToken());
}
assertEquals(suggest.size(), parsed.size());
for (Suggestion suggestion : suggest) {
Suggestion<? extends Entry<? extends Option>> parsedSuggestion = parsed.getSuggestion(suggestion.getName());
assertNotNull(parsedSuggestion);
assertEquals(suggestion.getClass(), parsedSuggestion.getClass());
}
assertToXContentEquivalent(originalBytes, toXContent(parsed, xContentType, params, humanReadable), xContentType);
}
use of org.opensearch.search.suggest.Suggest.Suggestion in project OpenSearch by opensearch-project.
the class SearchPhaseController method reducedQueryPhase.
/**
* Reduces the given query results and consumes all aggregations and profile results.
* @param queryResults a list of non-null query shard results
* @param bufferedAggs a list of pre-collected aggregations.
* @param bufferedTopDocs a list of pre-collected top docs.
* @param numReducePhases the number of non-final reduce phases applied to the query results.
* @see QuerySearchResult#consumeAggs()
* @see QuerySearchResult#consumeProfileResult()
*/
ReducedQueryPhase reducedQueryPhase(Collection<? extends SearchPhaseResult> queryResults, List<InternalAggregations> bufferedAggs, List<TopDocs> bufferedTopDocs, TopDocsStats topDocsStats, int numReducePhases, boolean isScrollRequest, InternalAggregation.ReduceContextBuilder aggReduceContextBuilder, boolean performFinalReduce) {
assert numReducePhases >= 0 : "num reduce phases must be >= 0 but was: " + numReducePhases;
// increment for this phase
numReducePhases++;
if (queryResults.isEmpty()) {
// early terminate we have nothing to reduce
final TotalHits totalHits = topDocsStats.getTotalHits();
return new ReducedQueryPhase(totalHits, topDocsStats.fetchHits, topDocsStats.getMaxScore(), false, null, null, null, null, SortedTopDocs.EMPTY, null, numReducePhases, 0, 0, true);
}
int total = queryResults.size();
queryResults = queryResults.stream().filter(res -> res.queryResult().isNull() == false).collect(Collectors.toList());
String errorMsg = "must have at least one non-empty search result, got 0 out of " + total;
assert queryResults.isEmpty() == false : errorMsg;
if (queryResults.isEmpty()) {
throw new IllegalStateException(errorMsg);
}
validateMergeSortValueFormats(queryResults);
final QuerySearchResult firstResult = queryResults.stream().findFirst().get().queryResult();
final boolean hasSuggest = firstResult.suggest() != null;
final boolean hasProfileResults = firstResult.hasProfileResults();
// count the total (we use the query result provider here, since we might not get any hits (we scrolled past them))
final Map<String, List<Suggestion>> groupedSuggestions = hasSuggest ? new HashMap<>() : Collections.emptyMap();
final Map<String, ProfileShardResult> profileResults = hasProfileResults ? new HashMap<>(queryResults.size()) : Collections.emptyMap();
int from = 0;
int size = 0;
for (SearchPhaseResult entry : queryResults) {
QuerySearchResult result = entry.queryResult();
from = result.from();
// sorted queries can set the size to 0 if they have enough competitive hits.
size = Math.max(result.size(), size);
if (hasSuggest) {
assert result.suggest() != null;
for (Suggestion<? extends Suggestion.Entry<? extends Suggestion.Entry.Option>> suggestion : result.suggest()) {
List<Suggestion> suggestionList = groupedSuggestions.computeIfAbsent(suggestion.getName(), s -> new ArrayList<>());
suggestionList.add(suggestion);
if (suggestion instanceof CompletionSuggestion) {
CompletionSuggestion completionSuggestion = (CompletionSuggestion) suggestion;
completionSuggestion.setShardIndex(result.getShardIndex());
}
}
}
if (bufferedTopDocs.isEmpty() == false) {
assert result.hasConsumedTopDocs() : "firstResult has no aggs but we got non null buffered aggs?";
}
if (hasProfileResults) {
String key = result.getSearchShardTarget().toString();
profileResults.put(key, result.consumeProfileResult());
}
}
final Suggest reducedSuggest;
final List<CompletionSuggestion> reducedCompletionSuggestions;
if (groupedSuggestions.isEmpty()) {
reducedSuggest = null;
reducedCompletionSuggestions = Collections.emptyList();
} else {
reducedSuggest = new Suggest(Suggest.reduce(groupedSuggestions));
reducedCompletionSuggestions = reducedSuggest.filter(CompletionSuggestion.class);
}
final InternalAggregations aggregations = reduceAggs(aggReduceContextBuilder, performFinalReduce, bufferedAggs);
final SearchProfileShardResults shardResults = profileResults.isEmpty() ? null : new SearchProfileShardResults(profileResults);
final SortedTopDocs sortedTopDocs = sortDocs(isScrollRequest, bufferedTopDocs, from, size, reducedCompletionSuggestions);
final TotalHits totalHits = topDocsStats.getTotalHits();
return new ReducedQueryPhase(totalHits, topDocsStats.fetchHits, topDocsStats.getMaxScore(), topDocsStats.timedOut, topDocsStats.terminatedEarly, reducedSuggest, aggregations, shardResults, sortedTopDocs, firstResult.sortValueFormats(), numReducePhases, size, from, false);
}
use of org.opensearch.search.suggest.Suggest.Suggestion in project OpenSearch by opensearch-project.
the class SuggestPhase method execute.
public void execute(SearchContext context) {
final SuggestionSearchContext suggest = context.suggest();
if (suggest == null) {
return;
}
try {
CharsRefBuilder spare = new CharsRefBuilder();
final List<Suggestion<? extends Entry<? extends Option>>> suggestions = new ArrayList<>(suggest.suggestions().size());
for (Map.Entry<String, SuggestionSearchContext.SuggestionContext> entry : suggest.suggestions().entrySet()) {
SuggestionSearchContext.SuggestionContext suggestion = entry.getValue();
Suggester<SuggestionContext> suggester = suggestion.getSuggester();
Suggestion<? extends Entry<? extends Option>> result = suggester.execute(entry.getKey(), suggestion, context.searcher(), spare);
if (result != null) {
assert entry.getKey().equals(result.name);
suggestions.add(result);
}
}
context.queryResult().suggest(new Suggest(suggestions));
} catch (IOException e) {
throw new OpenSearchException("I/O exception during suggest phase", e);
}
}
Aggregations