GeoMesa 2.1.0 is the third minor release in the 2.x line. This release includes 75 bug fixes and improvements since the 2.2.0 release. Users should read the 2.3 upgrade guide.
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- New GeoMesa Redis DataStore implementation with support for all index types (spatial, spatio-temporal, attribute, and id).
- GeoMesa Kafka DataStoresDataStore
- supports Kafka version 2.1.1
- can now read from Confluent Avro-serialized topicssupport Kafka version 2.1.1.
- can be configured to start reading from a Kafka topic on GeoServer/DataStore creation.
- GeoMesa HBase DataStoresDataStore
- handle handles canceled queries and data corruption better.
- now disable disables bloom filters by default.
- GeoMesa FileSystem DataStore optimizations:
- Metadata store is now pluggable and can
- supports pluggable metadata storage, with an option to use JDBC for persistence.Various other improvements around query performance.
- provides faster filtering through partition-scheme optimizations
- GeoMesa Cassandra DataStore
- has various bug fixes
- GeoMesa Spark
- Improvements to help PySpark users leverage improves PySpark integration by supporting JTS in Spark without using a GeoMesa datastore.data store
- GeoMesa Ingest
- can now accept read archive formats (i.e. g., tars and zips).
- GeoMesa converters can now read from Avro Schema Registries
- GeoMesa converters now support composite converters for JSON , and XML.
- GeoMesa NiFi
- GeoMesa processors now support NiFi expressions and variables in configuration
- GeoMesa Indexing:
- Support for supports multiple spatial/spatio-temporal indices on different attributes
- New API for implementing supports SPI loading of new index schemes.strategies
- GeoMesa query handling:
- Query supports custom query interceptors for adding custom business logic to queries.
- Option to allow for or disable 'spatial4j' handling of large polygons.provides an option to disable anti-meridian polygon splitting
Deprecated Features and Modules
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