Hi Emilio,
This is Christian, a colleague of Markus - the initial requester, who is currently out-of-office. Maybe I can answer your question.
We’re using the GeoTools API to query the data. We basically do it in the same way as described in the geomesa-tutorial
https://github.com/geomesa/geomesa-tutorials/blob/master/geomesa-tutorials-common/src/main/java/org/geomesa/example/transformations/GeoMesaQueryTutorial.java
First, we build an org.geotools.data.Query instance using org.opengis.filter.FilterFactory2. We’re applying temporal and spatial constraints as well as a constraint on a custom attribute called VIN:
Query query =
new Query(typeName);
List<Filter> filters = new ArrayList<>();
FilterFactory2 filterFactory = CommonFactoryFinder.getFilterFactory2();
// temporal filter:
filters.add(filterFactory.between(
filterFactory.property(EventSimpleFeature.DATE_TIME_GROUP),
filterFactory.literal(dateFrom),
filterFactory.literal(dateTo)));
// spatial filter:
filters.add(filterFactory
.bbox(filterFactory.property(EventSimpleFeature.GEOMETRY),
boundingBox.getMinX(), boundingBox.getMinY(),
boundingBox.getMaxX(), boundingBox.getMaxY(), "EPSG:4326"));
// vin filter:
filters.add(filterFactory
.equals(filterFactory.property(EventSimpleFeature.VIN), filterFactory.literal(vin)));
query.setFilter(filterFactory.and(filters));
query.setPropertyNames(fieldNames);
return query;
With that query we then instantiate an org.geotools.data.FeatureReader to read the filtered (according the given query) entries:
FeatureReader<SimpleFeatureType, SimpleFeature> reader =
dataStore.getFeatureReader(query, Transaction.AUTO_COMMIT);
while (reader.hasNext()) {
SimpleFeature feature = reader.next();
// do something with the feature ...
}
Is that sufficient for a further analysis on your side?
Thanks for your support!
Best regards
Christian
Hello,
Could you provide the code you're using to query programmatically?
Thanks,
Emilio
Hello,
In a current project we are using geomesa-fs-data-store for our network-measurements. We are collecting these network-measurements from driving vehicles.
The issues is that we are facing a mismatch with returned data between “geomesa-fs export” and querying geomesa programmatically.
This is the geomesa-fs export-command: ./geomesa-fs export -p ………./geomesa-data-store/ -f ModemState --cql "dtg>=2019-04-13T23:40:00Z AND dtg<=2019-04-14T01:00:00Z AND vin LIKE '%VINSYSTEMTEST1%'"
This is the query from a debug-statement when querying geomesa programmatically:
2019-05-08 16:16:16.073 [http-nio-8130-exec-2] INFO org.apache.parquet.filter2.compat.FilterCompat - Filtering using predicate: and(and(and(and(and(gteq(geom.x, -180.0), gteq(geom.y, -90.0)), lteq(geom.x, 180.0)), lteq(geom.y,
90.0)), and(gteq(dtg, 1555198800000), lteq(dtg, 1555203600000))), eq(vin, Binary{"VINSYSTEMTEST1"}))
While the export returns 1 event, the programmatic query returns 0 events.
The event is found in the programmatic case when extending the search-interval to an earlier time. E.g. from 2019-04-13T23:40:00Z to 2019-04-13T00:40:00Z
I am also attaching the test-data.
We are using:
Geomesa-fs-datastore_2.11:2.2.0
Geomesa-fs-storage-parquet_2.11:2.2.0
Partitioning-Scheme: daily, z2-2bit
The storage-type is parquet on AWS S3.
I hope you can help. Thanks,
Markus Thamm
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