raster-frames v0.6.0 Release Notes

Release Date: 2018-03-18 // over 4 years ago
    • ⬆️ Upgraded to Spark 2.2.1. Added VersionShims to allow for Spark 2.1.x backwards compatibility.
    • Introduced separate rasterframes-datasource library for hosting sources from which to read RasterFrames.
    • Implemented basic (but sufficient) temporal and spatial filter predicate push-down feature for the GeoTrellis layer datasource.
    • ➕ Added Catalyst expressions specifically for spatial relations, allowing for some polymorphism over JTS types.
    • ➕ Added a GeoTrellis Catalog DataSource for inspecting available layers and associated metadata at a URI
    • ➕ Added GeoTrellis Layer DataSource for reading GeoTrellis layers from any SPI-registered GeoTrellis backend (which includes HDFS, S3, Accumulo, HBase, Cassandra, etc.).
    • Ability to save a RasterFrame as a GeoTrellis layer to any SPI-registered GeoTrellis backends. Multi-column RasterFrames are written as Multiband tiles.
    • ➕ Addd a GeoTiff DataSource for directly loading a (preferably Cloud Optimized) GeoTiff as a RasterFrame, each row containing tiles as they are internally organized.
    • 👍 Fleshed out support for MultibandTile and TileFeature support in datasource.
    • ➕ Added typeclass for specifying merge operations on TileFeature data payload.
    • ➕ Added withTemporalComponent convenince method for creating appending a temporal key column with constant value.
    • 💥 Breaking: Renamed withExtent to withBounds, and now returns a JTS Polygon.
    • ➕ Added EnvelopeEncoder for encoding JTS Envelope type.
    • 🔨 Refactored build into separate core and docs, paving way for pyrasterframes polyglot module.
    • ➕ Added utility extension method withPrefixedColumnNames to DataFrame.