- Fixed an issue in
approx_percentile
caused by precision loss in float number - Support for EMR 7.0 (This is not currently compatible with Kinesis-based Stream Feature Views -- support will be added soon)
- For materialization of Batch Feature Views on EMR: when
spark.sql.shuffle.partitions
orspark.default.parallelism
is explicitly set (via the Cluster Config), Tecton will no longer repartition or coalesce during offline writes