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 DataStores
- can read from Confluent Avro-serialized topics
- support Kafka version 2.1.1.
- can be configured to start reading from a Kafka topic on GeoServer/DataStore creation.
- GeoMesa HBase DataStores
- handle canceled queries and data corruption better.
- now disable bloom filters by default.
- GeoMesa FileSystem DataStore optimizations:
- Metadata store is now pluggable and can be implemented with use JDBC for persistence.
- Various other improvements around query performance.
- GeoMesa Cassandra DataStore has various bug fixes.
- GeoMesa Spark
- Improvements to help PySpark users leverage JTS in Spark without using a GeoMesa datastore.
- GeoMesa Ingest
- can now accept archive formats (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 multiple spatial/spatio-temporal indices on different attributes
- New API for implementing new index schemes.
- GeoMesa query handling:
- Query interceptors for adding custom business logic to queries.
- Option to allow for or disable 'spatial4j' handling of large polygons.
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