API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.26...v0.1.27
asofJoin()
by @tnixon in https://github.com/databrickslabs/tempo/pull/363
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.25...v0.1.26
Updating to include AS OF join fix for Delta Live Tables
Currently, tempo uses the underlying jvm objects to detect the size of the data frames in memory. This is not compatible with Delta Live Tables so we have updated the logic to skip the optimization and checks if not using the SQL optimization for small tables.
tox
default environment name for type checking and flake8 configuration by @R7L208 in https://github.com/databrickslabs/tempo/pull/321
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.23...v0.1.24
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.22...v0.1.23
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.21...v0.1.22
IntervalsDF
by @R7L208 in https://github.com/databrickslabs/tempo/pull/256
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.20...v0.1.21
TSDF.extractStateInterval()
to perform state comparison per metric column. by @R7L208 in https://github.com/databrickslabs/tempo/pull/234
Full Changelog: https://github.com/databrickslabs/tempo/compare/v0.1.19...v0.1.20