use of org.apache.lucene.queries.BooleanFilter in project titan by thinkaurelius.
the class LuceneIndex method convertQuery.
private final Filter convertQuery(Condition<?> condition, KeyInformation.StoreRetriever informations) {
if (condition instanceof PredicateCondition) {
PredicateCondition<String, ?> atom = (PredicateCondition) condition;
Object value = atom.getValue();
String key = atom.getKey();
TitanPredicate titanPredicate = atom.getPredicate();
if (value instanceof Number) {
Preconditions.checkArgument(titanPredicate instanceof Cmp, "Relation not supported on numeric types: " + titanPredicate);
Preconditions.checkArgument(value instanceof Number);
return numericFilter(key, (Cmp) titanPredicate, (Number) value);
} else if (value instanceof String) {
Mapping map = Mapping.getMapping(informations.get(key));
if ((map == Mapping.DEFAULT || map == Mapping.TEXT) && !titanPredicate.toString().startsWith("CONTAINS"))
throw new IllegalArgumentException("Text mapped string values only support CONTAINS queries and not: " + titanPredicate);
if (map == Mapping.STRING && titanPredicate.toString().startsWith("CONTAINS"))
throw new IllegalArgumentException("String mapped string values do not support CONTAINS queries: " + titanPredicate);
if (titanPredicate == Text.CONTAINS) {
value = ((String) value).toLowerCase();
return new TermsFilter(new Term(key, (String) value));
} else if (titanPredicate == Text.CONTAINS_PREFIX) {
value = ((String) value).toLowerCase();
return new PrefixFilter(new Term(key, (String) value));
} else if (titanPredicate == Text.PREFIX) {
return new PrefixFilter(new Term(key, (String) value));
// } else if (titanPredicate == Text.CONTAINS_REGEX) {
// value = ((String) value).toLowerCase();
// return new RegexpQuery(new Term(key,(String)value));
} else if (titanPredicate == Cmp.EQUAL) {
return new TermsFilter(new Term(key, (String) value));
} else if (titanPredicate == Cmp.NOT_EQUAL) {
BooleanFilter q = new BooleanFilter();
q.add(new TermsFilter(new Term(key, (String) value)), BooleanClause.Occur.MUST_NOT);
return q;
} else
throw new IllegalArgumentException("Relation is not supported for string value: " + titanPredicate);
} else if (value instanceof Geoshape) {
Preconditions.checkArgument(titanPredicate == Geo.WITHIN, "Relation is not supported for geo value: " + titanPredicate);
Shape shape = ((Geoshape) value).convert2Spatial4j();
SpatialArgs args = new SpatialArgs(SpatialOperation.IsWithin, shape);
return getSpatialStrategy(key).makeFilter(args);
} else
throw new IllegalArgumentException("Unsupported type: " + value);
} else if (condition instanceof Not) {
BooleanFilter q = new BooleanFilter();
q.add(convertQuery(((Not) condition).getChild(), informations), BooleanClause.Occur.MUST_NOT);
return q;
} else if (condition instanceof And) {
BooleanFilter q = new BooleanFilter();
for (Condition c : condition.getChildren()) {
q.add(convertQuery(c, informations), BooleanClause.Occur.MUST);
}
return q;
} else if (condition instanceof Or) {
BooleanFilter q = new BooleanFilter();
for (Condition c : condition.getChildren()) {
q.add(convertQuery(c, informations), BooleanClause.Occur.SHOULD);
}
return q;
} else
throw new IllegalArgumentException("Invalid condition: " + condition);
}
use of org.apache.lucene.queries.BooleanFilter in project titan by thinkaurelius.
the class LuceneIndex method numericFilter.
private static final Filter numericFilter(String key, Cmp relation, Number value) {
switch(relation) {
case EQUAL:
return (value instanceof Long || value instanceof Integer) ? NumericRangeFilter.newLongRange(key, value.longValue(), value.longValue(), true, true) : NumericRangeFilter.newDoubleRange(key, value.doubleValue(), value.doubleValue(), true, true);
case NOT_EQUAL:
BooleanFilter q = new BooleanFilter();
if (value instanceof Long || value instanceof Integer) {
q.add(NumericRangeFilter.newLongRange(key, Long.MIN_VALUE, value.longValue(), true, false), BooleanClause.Occur.SHOULD);
q.add(NumericRangeFilter.newLongRange(key, value.longValue(), Long.MAX_VALUE, false, true), BooleanClause.Occur.SHOULD);
} else {
q.add(NumericRangeFilter.newDoubleRange(key, Double.MIN_VALUE, value.doubleValue(), true, false), BooleanClause.Occur.SHOULD);
q.add(NumericRangeFilter.newDoubleRange(key, value.doubleValue(), Double.MAX_VALUE, false, true), BooleanClause.Occur.SHOULD);
}
return q;
case LESS_THAN:
return (value instanceof Long || value instanceof Integer) ? NumericRangeFilter.newLongRange(key, Long.MIN_VALUE, value.longValue(), true, false) : NumericRangeFilter.newDoubleRange(key, Double.MIN_VALUE, value.doubleValue(), true, false);
case LESS_THAN_EQUAL:
return (value instanceof Long || value instanceof Integer) ? NumericRangeFilter.newLongRange(key, Long.MIN_VALUE, value.longValue(), true, true) : NumericRangeFilter.newDoubleRange(key, Double.MIN_VALUE, value.doubleValue(), true, true);
case GREATER_THAN:
return (value instanceof Long || value instanceof Integer) ? NumericRangeFilter.newLongRange(key, value.longValue(), Long.MAX_VALUE, false, true) : NumericRangeFilter.newDoubleRange(key, value.doubleValue(), Double.MAX_VALUE, false, true);
case GREATER_THAN_EQUAL:
return (value instanceof Long || value instanceof Integer) ? NumericRangeFilter.newLongRange(key, value.longValue(), Long.MAX_VALUE, true, true) : NumericRangeFilter.newDoubleRange(key, value.doubleValue(), Double.MAX_VALUE, true, true);
default:
throw new IllegalArgumentException("Unexpected relation: " + relation);
}
}
use of org.apache.lucene.queries.BooleanFilter in project titan by thinkaurelius.
the class LuceneExample method example1.
@Test
public void example1() throws Exception {
Directory dir = FSDirectory.open(path);
Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_41);
IndexWriterConfig iwc = new IndexWriterConfig(Version.LUCENE_41, analyzer);
iwc.setOpenMode(IndexWriterConfig.OpenMode.CREATE_OR_APPEND);
IndexWriter writer = new IndexWriter(dir, iwc);
indexDocs(writer, "doc1", ImmutableMap.of("name", "The laborious work of John Doe as we know it", "city", "Blumenkamp", "location", Geoshape.point(51.687882, 6.612053), "time", 1000342034));
indexDocs(writer, "doc2", ImmutableMap.of("name", "Life as we know it or not", "city", "Essen", "location", Geoshape.point(51.787882, 6.712053), "time", 1000342034 - 500));
indexDocs(writer, "doc3", ImmutableMap.of("name", "Berlin - poor but sexy and a display of the extraordinary", "city", "Berlin", "location", Geoshape.circle(52.509535, 13.425293, 50), "time", 1000342034 + 2000));
writer.close();
// Search
IndexReader reader = DirectoryReader.open(FSDirectory.open(path));
IndexSearcher searcher = new IndexSearcher(reader);
analyzer = new StandardAnalyzer(Version.LUCENE_41);
// Auesee
BooleanFilter filter = new BooleanFilter();
// filter.add(new TermsFilter(new Term("name_txt","know")), BooleanClause.Occur.MUST);
SpatialArgs args = new SpatialArgs(SpatialOperation.Intersects, Geoshape.circle(51.666167, 6.58905, 450).convert2Spatial4j());
// filter.add(getSpatialStrategy("location").makeFilter(args), BooleanClause.Occur.MUST);
filter.add(NumericRangeFilter.newLongRange("time", (long) 1000342034, (long) 1000342034, true, true), BooleanClause.Occur.MUST);
// filter.add(NumericRangeFilter.newLongRange("time",(long)1000342034-100,Long.MAX_VALUE,true,true), BooleanClause.Occur.MUST);
// filter.add(NumericRangeFilter.newLongRange("time",Long.MIN_VALUE,(long)1000342034+300,true,true), BooleanClause.Occur.MUST);
filter.add(new PrefixFilter(new Term("city_str", "B")), BooleanClause.Occur.MUST);
TopDocs docs = searcher.search(new MatchAllDocsQuery(), filter, MAX_RESULT);
if (docs.totalHits >= MAX_RESULT)
throw new RuntimeException("Max results exceeded: " + MAX_RESULT);
Set<String> result = getResults(searcher, docs);
System.out.println(result);
}
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