use of org.elasticsearch.search.query.QuerySearchResultProvider in project elasticsearch by elastic.
the class SearchPhaseControllerTests method testConsumer.
public void testConsumer() {
int bufferSize = randomIntBetween(2, 3);
SearchRequest request = new SearchRequest();
request.source(new SearchSourceBuilder().aggregation(AggregationBuilders.avg("foo")));
request.setBatchedReduceSize(bufferSize);
InitialSearchPhase.SearchPhaseResults<QuerySearchResultProvider> consumer = searchPhaseController.newSearchPhaseResults(request, 3);
QuerySearchResult result = new QuerySearchResult(0, new SearchShardTarget("node", new Index("a", "b"), 0));
result.topDocs(new TopDocs(0, new ScoreDoc[0], 0.0F), new DocValueFormat[0]);
InternalAggregations aggs = new InternalAggregations(Arrays.asList(new InternalMax("test", 1.0D, DocValueFormat.RAW, Collections.emptyList(), Collections.emptyMap())));
result.aggregations(aggs);
consumer.consumeResult(0, result);
result = new QuerySearchResult(1, new SearchShardTarget("node", new Index("a", "b"), 0));
result.topDocs(new TopDocs(0, new ScoreDoc[0], 0.0F), new DocValueFormat[0]);
aggs = new InternalAggregations(Arrays.asList(new InternalMax("test", 3.0D, DocValueFormat.RAW, Collections.emptyList(), Collections.emptyMap())));
result.aggregations(aggs);
consumer.consumeResult(2, result);
result = new QuerySearchResult(1, new SearchShardTarget("node", new Index("a", "b"), 0));
result.topDocs(new TopDocs(0, new ScoreDoc[0], 0.0F), new DocValueFormat[0]);
aggs = new InternalAggregations(Arrays.asList(new InternalMax("test", 2.0D, DocValueFormat.RAW, Collections.emptyList(), Collections.emptyMap())));
result.aggregations(aggs);
consumer.consumeResult(1, result);
int numTotalReducePhases = 1;
if (bufferSize == 2) {
assertThat(consumer, instanceOf(SearchPhaseController.QueryPhaseResultConsumer.class));
assertEquals(1, ((SearchPhaseController.QueryPhaseResultConsumer) consumer).getNumReducePhases());
assertEquals(2, ((SearchPhaseController.QueryPhaseResultConsumer) consumer).getNumBuffered());
numTotalReducePhases++;
} else {
assertThat(consumer, not(instanceOf(SearchPhaseController.QueryPhaseResultConsumer.class)));
}
SearchPhaseController.ReducedQueryPhase reduce = consumer.reduce();
assertEquals(numTotalReducePhases, reduce.numReducePhases);
InternalMax max = (InternalMax) reduce.aggregations.asList().get(0);
assertEquals(3.0D, max.getValue(), 0.0D);
}
use of org.elasticsearch.search.query.QuerySearchResultProvider in project elasticsearch by elastic.
the class SearchPhaseControllerTests method generateQueryResults.
private AtomicArray<QuerySearchResultProvider> generateQueryResults(int nShards, List<CompletionSuggestion> suggestions, int searchHitsSize, boolean useConstantScore) {
AtomicArray<QuerySearchResultProvider> queryResults = new AtomicArray<>(nShards);
for (int shardIndex = 0; shardIndex < nShards; shardIndex++) {
QuerySearchResult querySearchResult = new QuerySearchResult(shardIndex, new SearchShardTarget("", new Index("", ""), shardIndex));
TopDocs topDocs = new TopDocs(0, new ScoreDoc[0], 0);
if (searchHitsSize > 0) {
int nDocs = randomIntBetween(0, searchHitsSize);
ScoreDoc[] scoreDocs = new ScoreDoc[nDocs];
float maxScore = 0F;
for (int i = 0; i < nDocs; i++) {
float score = useConstantScore ? 1.0F : Math.abs(randomFloat());
scoreDocs[i] = new ScoreDoc(i, score);
if (score > maxScore) {
maxScore = score;
}
}
topDocs = new TopDocs(scoreDocs.length, scoreDocs, maxScore);
}
List<CompletionSuggestion> shardSuggestion = new ArrayList<>();
for (CompletionSuggestion completionSuggestion : suggestions) {
CompletionSuggestion suggestion = new CompletionSuggestion(completionSuggestion.getName(), completionSuggestion.getSize());
final CompletionSuggestion.Entry completionEntry = new CompletionSuggestion.Entry(new Text(""), 0, 5);
suggestion.addTerm(completionEntry);
int optionSize = randomIntBetween(1, suggestion.getSize());
float maxScore = randomIntBetween(suggestion.getSize(), (int) Float.MAX_VALUE);
for (int i = 0; i < optionSize; i++) {
completionEntry.addOption(new CompletionSuggestion.Entry.Option(i, new Text(""), maxScore, Collections.emptyMap()));
float dec = randomIntBetween(0, optionSize);
if (dec <= maxScore) {
maxScore -= dec;
}
}
suggestion.setShardIndex(shardIndex);
shardSuggestion.add(suggestion);
}
querySearchResult.topDocs(topDocs, null);
querySearchResult.size(searchHitsSize);
querySearchResult.suggest(new Suggest(new ArrayList<>(shardSuggestion)));
queryResults.set(shardIndex, querySearchResult);
}
return queryResults;
}
Aggregations