Examples with ParsedQuery org.opensearch.index.query.ParsedQuery used on opensource projects

Example 11 with ParsedQuery

use of org.opensearch.index.query.ParsedQuery in project OpenSearch by opensearch-project.

the class DefaultSearchContext method preProcess.

/**
 * Should be called before executing the main query and after all other parameters have been set.
 */
@Override
public void preProcess(boolean rewrite) {
    if (hasOnlySuggest()) {
        return;
    }
    long from = from() == -1 ? 0 : from();
    long size = size() == -1 ? 10 : size();
    long resultWindow = from + size;
    int maxResultWindow = indexService.getIndexSettings().getMaxResultWindow();
    if (resultWindow > maxResultWindow) {
        if (scrollContext() == null) {
            throw new IllegalArgumentException("Result window is too large, from + size must be less than or equal to: [" + maxResultWindow + "] but was [" + resultWindow + "]. See the scroll api for a more efficient way to request large data sets. " + "This limit can be set by changing the [" + IndexSettings.MAX_RESULT_WINDOW_SETTING.getKey() + "] index level setting.");
        }
        throw new IllegalArgumentException("Batch size is too large, size must be less than or equal to: [" + maxResultWindow + "] but was [" + resultWindow + "]. Scroll batch sizes cost as much memory as result windows so they are controlled by the [" + IndexSettings.MAX_RESULT_WINDOW_SETTING.getKey() + "] index level setting.");
    }
    if (rescore != null) {
        if (sort != null) {
            throw new IllegalArgumentException("Cannot use [sort] option in conjunction with [rescore].");
        }
        int maxWindow = indexService.getIndexSettings().getMaxRescoreWindow();
        for (RescoreContext rescoreContext : rescore()) {
            if (rescoreContext.getWindowSize() > maxWindow) {
                throw new IllegalArgumentException("Rescore window [" + rescoreContext.getWindowSize() + "] is too large. " + "It must be less than [" + maxWindow + "]. This prevents allocating massive heaps for storing the results " + "to be rescored. This limit can be set by changing the [" + IndexSettings.MAX_RESCORE_WINDOW_SETTING.getKey() + "] index level setting.");
            }
        }
    }
    if (sliceBuilder != null) {
        int sliceLimit = indexService.getIndexSettings().getMaxSlicesPerScroll();
        int numSlices = sliceBuilder.getMax();
        if (numSlices > sliceLimit) {
            throw new IllegalArgumentException("The number of slices [" + numSlices + "] is too large. It must " + "be less than [" + sliceLimit + "]. This limit can be set by changing the [" + IndexSettings.MAX_SLICES_PER_SCROLL.getKey() + "] index level setting.");
        }
    }
    // initialize the filtering alias based on the provided filters
    try {
        final QueryBuilder queryBuilder = request.getAliasFilter().getQueryBuilder();
        aliasFilter = queryBuilder == null ? null : queryBuilder.toQuery(queryShardContext);
    } catch (IOException e) {
        throw new UncheckedIOException(e);
    }
    if (query() == null) {
        parsedQuery(ParsedQuery.parsedMatchAllQuery());
    }
    if (queryBoost() != AbstractQueryBuilder.DEFAULT_BOOST) {
        parsedQuery(new ParsedQuery(new BoostQuery(query(), queryBoost), parsedQuery()));
    }
    this.query = buildFilteredQuery(query);
    if (rewrite) {
        try {
            this.query = searcher.rewrite(query);
        } catch (IOException e) {
            throw new QueryPhaseExecutionException(shardTarget, "Failed to rewrite main query", e);
        }
    }
}

Example 12 with ParsedQuery

use of org.opensearch.index.query.ParsedQuery in project security by opensearch-project.

the class DlsFlsValveImpl method handleSearchContext.

@Override
public void handleSearchContext(SearchContext context, ThreadPool threadPool, NamedXContentRegistry namedXContentRegistry) {
    try {
        final Map<String, Set<String>> queries = (Map<String, Set<String>>) HeaderHelper.deserializeSafeFromHeader(threadPool.getThreadContext(), ConfigConstants.OPENDISTRO_SECURITY_DLS_QUERY_HEADER);
        final String dlsEval = SecurityUtils.evalMap(queries, context.indexShard().indexSettings().getIndex().getName());
        if (dlsEval != null) {
            if (context.suggest() != null) {
                return;
            }
            assert context.parsedQuery() != null;
            final Set<String> unparsedDlsQueries = queries.get(dlsEval);
            if (unparsedDlsQueries != null && !unparsedDlsQueries.isEmpty()) {
                final ParsedQuery dlsQuery = DlsQueryParser.parse(unparsedDlsQueries, context.parsedQuery(), context.getQueryShardContext(), namedXContentRegistry);
                context.parsedQuery(dlsQuery);
                context.preProcess(true);
            }
        }
    } catch (Exception e) {
        throw new RuntimeException("Error evaluating dls for a search query: " + e, e);
    }
}

Example 13 with ParsedQuery

use of org.opensearch.index.query.ParsedQuery in project OpenSearch by opensearch-project.

the class PhraseSuggester method innerExecute.

/*
     * More Ideas:
     *   - add ability to find whitespace problems -> we can build a poor mans decompounder with our index based on a automaton?
     *   - add ability to build different error models maybe based on a confusion matrix?
     *   - try to combine a token with its subsequent token to find / detect word splits (optional)
     *      - for this to work we need some way to defined the position length of a candidate
     *   - phonetic filters could be interesting here too for candidate selection
     */
@Override
public Suggestion<? extends Entry<? extends Option>> innerExecute(String name, PhraseSuggestionContext suggestion, IndexSearcher searcher, CharsRefBuilder spare) throws IOException {
    double realWordErrorLikelihood = suggestion.realworldErrorLikelihood();
    final PhraseSuggestion response = new PhraseSuggestion(name, suggestion.getSize());
    final IndexReader indexReader = searcher.getIndexReader();
    List<PhraseSuggestionContext.DirectCandidateGenerator> generators = suggestion.generators();
    final int numGenerators = generators.size();
    final List<CandidateGenerator> gens = new ArrayList<>(generators.size());
    for (int i = 0; i < numGenerators; i++) {
        PhraseSuggestionContext.DirectCandidateGenerator generator = generators.get(i);
        DirectSpellChecker directSpellChecker = generator.createDirectSpellChecker();
        Terms terms = MultiTerms.getTerms(indexReader, generator.field());
        if (terms != null) {
            gens.add(new DirectCandidateGenerator(directSpellChecker, generator.field(), generator.suggestMode(), indexReader, realWordErrorLikelihood, generator.size(), generator.preFilter(), generator.postFilter(), terms));
        }
    }
    final String suggestField = suggestion.getField();
    final Terms suggestTerms = MultiTerms.getTerms(indexReader, suggestField);
    if (gens.size() > 0 && suggestTerms != null) {
        final NoisyChannelSpellChecker checker = new NoisyChannelSpellChecker(realWordErrorLikelihood, suggestion.getRequireUnigram(), suggestion.getTokenLimit());
        final BytesRef separator = suggestion.separator();
        WordScorer wordScorer = suggestion.model().newScorer(indexReader, suggestTerms, suggestField, realWordErrorLikelihood, separator);
        Result checkerResult;
        try (TokenStream stream = tokenStream(suggestion.getAnalyzer(), suggestion.getText(), spare, suggestion.getField())) {
            checkerResult = checker.getCorrections(stream, new MultiCandidateGeneratorWrapper(suggestion.getShardSize(), gens.toArray(new CandidateGenerator[gens.size()])), suggestion.maxErrors(), suggestion.getShardSize(), wordScorer, suggestion.confidence(), suggestion.gramSize());
        }
        PhraseSuggestion.Entry resultEntry = buildResultEntry(suggestion, spare, checkerResult.cutoffScore);
        response.addTerm(resultEntry);
        final BytesRefBuilder byteSpare = new BytesRefBuilder();
        final TemplateScript.Factory scriptFactory = suggestion.getCollateQueryScript();
        final boolean collatePrune = (scriptFactory != null) && suggestion.collatePrune();
        for (int i = 0; i < checkerResult.corrections.length; i++) {
            Correction correction = checkerResult.corrections[i];
            spare.copyUTF8Bytes(correction.join(SEPARATOR, byteSpare, null, null));
            boolean collateMatch = true;
            if (scriptFactory != null) {
                // Checks if the template query collateScript yields any documents
                // from the index for a correction, collateMatch is updated
                final Map<String, Object> vars = suggestion.getCollateScriptParams();
                vars.put(SUGGESTION_TEMPLATE_VAR_NAME, spare.toString());
                QueryShardContext shardContext = suggestion.getShardContext();
                final String querySource = scriptFactory.newInstance(vars).execute();
                try (XContentParser parser = XContentFactory.xContent(querySource).createParser(shardContext.getXContentRegistry(), LoggingDeprecationHandler.INSTANCE, querySource)) {
                    QueryBuilder innerQueryBuilder = AbstractQueryBuilder.parseInnerQueryBuilder(parser);
                    final ParsedQuery parsedQuery = shardContext.toQuery(innerQueryBuilder);
                    collateMatch = Lucene.exists(searcher, parsedQuery.query());
                }
            }
            if (!collateMatch && !collatePrune) {
                continue;
            }
            Text phrase = new Text(spare.toString());
            Text highlighted = null;
            if (suggestion.getPreTag() != null) {
                spare.copyUTF8Bytes(correction.join(SEPARATOR, byteSpare, suggestion.getPreTag(), suggestion.getPostTag()));
                highlighted = new Text(spare.toString());
            }
            if (collatePrune) {
                resultEntry.addOption(new PhraseSuggestion.Entry.Option(phrase, highlighted, (float) (correction.score), collateMatch));
            } else {
                resultEntry.addOption(new PhraseSuggestion.Entry.Option(phrase, highlighted, (float) (correction.score)));
            }
        }
    } else {
        response.addTerm(buildResultEntry(suggestion, spare, Double.MIN_VALUE));
    }
    return response;
}

Example 14 with ParsedQuery

use of org.opensearch.index.query.ParsedQuery in project OpenSearch by opensearch-project.

the class QueryPhaseTests method testCancellationDuringPreprocess.

public void testCancellationDuringPreprocess() throws IOException {
    try (Directory dir = newDirectory();
        RandomIndexWriter w = new RandomIndexWriter(random(), dir, newIndexWriterConfig())) {
        for (int i = 0; i < 10; i++) {
            Document doc = new Document();
            StringBuilder sb = new StringBuilder();
            for (int j = 0; j < i; j++) {
                sb.append('a');
            }
            doc.add(new StringField("foo", sb.toString(), Store.NO));
            w.addDocument(doc);
        }
        w.flush();
        w.close();
        try (IndexReader reader = DirectoryReader.open(dir)) {
            TestSearchContext context = new TestSearchContextWithRewriteAndCancellation(null, indexShard, newContextSearcher(reader));
            PrefixQuery prefixQuery = new PrefixQuery(new Term("foo", "a"));
            prefixQuery.setRewriteMethod(MultiTermQuery.SCORING_BOOLEAN_REWRITE);
            context.parsedQuery(new ParsedQuery(prefixQuery));
            SearchShardTask task = mock(SearchShardTask.class);
            when(task.isCancelled()).thenReturn(true);
            context.setTask(task);
            expectThrows(TaskCancelledException.class, () -> new QueryPhase().preProcess(context));
        }
    }
}

Example 15 with ParsedQuery

use of org.opensearch.index.query.ParsedQuery in project OpenSearch by opensearch-project.

the class QueryPhaseTests method testQueryCapturesThreadPoolStats.

public void testQueryCapturesThreadPoolStats() throws Exception {
    Directory dir = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig();
    RandomIndexWriter w = new RandomIndexWriter(random(), dir, iwc);
    final int numDocs = scaledRandomIntBetween(100, 200);
    for (int i = 0; i < numDocs; ++i) {
        w.addDocument(new Document());
    }
    w.close();
    IndexReader reader = DirectoryReader.open(dir);
    TestSearchContext context = new TestSearchContext(null, indexShard, newContextSearcher(reader));
    context.setTask(new SearchShardTask(123L, "", "", "", null, Collections.emptyMap()));
    context.parsedQuery(new ParsedQuery(new MatchAllDocsQuery()));
    QueryPhase.executeInternal(context);
    QuerySearchResult results = context.queryResult();
    assertThat(results.serviceTimeEWMA(), greaterThanOrEqualTo(0L));
    assertThat(results.nodeQueueSize(), greaterThanOrEqualTo(0));
    reader.close();
    dir.close();
}