| [geomesa-users] Bug found querying based on feature ID |
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Hi, I am using a version of GeoMesa from the beginning of last week and I am mostly pleased with its performance. I have, however, found a problem when I try to query based upon feature ID.
I am able to successfully generate Filter objects based upon feature IDs and use those filter objects to modify and/or remove features within GeoMesa. I cannot, however, use such feature ID filters to query GeoMesa without getting a CQLException. Here is some abbreviated example Java code that illustrates the bug: String id1 = "ID1"; FilterFactory2 ff = CommonFactoryFinder.getFilterFactory2(); Filter filter = ff.id(Collections.singleton(ff.featureId(id1))); FeatureSource<SimpleFeatureType, SimpleFeature> featureSource = dataStore.getFeatureSource(featureName); Query query = new Query(featureName, filter); FeatureCollection<SimpleFeatureType, SimpleFeature> featureCollection = featureSource.getFeatures(query); FeatureIterator<SimpleFeature> featureIterator = featureCollection.features(); // throws CQLException Here’s the exception that’s thrown: org.geotools.filter.text.cql2.CQLException: Encountered "IN ( ID1" at line 1, column 2. Was expecting one of: "not" ... "include" ... "exclude" ... "(" ... "[" ... "id" ... "in" ... <IDENTIFIER> ... <DATE> ... <DATE_TIME> ... "-" ... <INTEGER_LITERAL> ... <FLOATING_LITERAL> ... <STRING_LITERAL> ... "true" ... "false" ... "point" ... "linestring" ... "polygon" ... "multipoint" ... "multilinestring" ... "multipolygon" ... "geometrycollection" ... "envelope" ... "in" "(" <STRING_LITERAL> ... "in" "(" <INTEGER_LITERAL> ... Parsing : (IN (ID1)). at org.geotools.filter.text.ecql.ECQLCompiler.compileFilter(ECQLCompiler.java:102) at org.geotools.filter.text.commons.CompilerUtil.parseFilter(CompilerUtil.java:196) at org.geotools.filter.text.ecql.ECQL.toFilter(ECQL.java:120) at org.geotools.filter.text.ecql.ECQL.toFilter(ECQL.java:99) at geomesa.core.iterators.IteratorTrigger$.getFilterAttributes(IteratorTrigger.scala:114) at geomesa.core.iterators.IteratorTrigger$.passThroughFilter(IteratorTrigger.scala:109) at geomesa.core.iterators.IteratorTrigger$$anonfun$8.apply(IteratorTrigger.scala:70) at geomesa.core.iterators.IteratorTrigger$$anonfun$8.apply(IteratorTrigger.scala:70) at scala.Option.map(Option.scala:145) at geomesa.core.iterators.IteratorTrigger$.useIndexOnlyIterator(IteratorTrigger.scala:70) at geomesa.core.iterators.IteratorTrigger$.chooseIterator(IteratorTrigger.scala:52) at geomesa.core.index.IndexQueryPlanner.stIdxQuery(IndexQueryPlanner.scala:373) at geomesa.core.index.IndexQueryPlanner.runAttrIdxQuery(IndexQueryPlanner.scala:164) at geomesa.core.index.IndexQueryPlanner.geomesa$core$index$IndexQueryPlanner$$runQuery(IndexQueryPlanner.scala:135) at geomesa.core.index.IndexQueryPlanner$$anonfun$getIterator$1.apply(IndexQueryPlanner.scala:94) at geomesa.core.index.IndexQueryPlanner$$anonfun$getIterator$1.apply(IndexQueryPlanner.scala:94) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at geomesa.core.util.CloseableIterator$$anon$3.hasNext(CloseableIterator.scala:20) at geomesa.core.iterators.DeDuplicatingIterator.findTop(DeDuplicatingIterator.scala:51) at geomesa.core.iterators.DeDuplicatingIterator.<init>(DeDuplicatingIterator.scala:58) at geomesa.core.index.IndexSchema.adaptIterator(IndexSchema.scala:117) at geomesa.core.index.IndexSchema.query(IndexSchema.scala:102) at geomesa.core.data.AccumuloFeatureReader.<init>(AccumuloFeatureReader.scala:32) at geomesa.core.data.AccumuloDataStore.getFeatureReader(AccumuloDataStore.scala:751) at geomesa.core.data.AccumuloDataStore.getFeatureReader(AccumuloDataStore.scala:60) at org.geotools.data.AbstractDataStore.getFeatureReader(AbstractDataStore.java:369) at org.geotools.data.DefaultFeatureResults.reader(DefaultFeatureResults.java:215) at org.geotools.data.store.DataFeatureCollection.openIterator(DataFeatureCollection.java:231) at org.geotools.data.store.DataFeatureCollection.iterator(DataFeatureCollection.java:199) at org.geotools.data.store.DataFeatureCollection.features(DataFeatureCollection.java:188) at org.geotools.data.store.DataFeatureCollection.features(DataFeatureCollection.java:79) Is there a safe way to query based on feature ID? Has this bug already been fixed? Thanks, Beau |