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@tdas tdas released this Aug 2, 2019 · 33 commits to master since this release

We are excited to announce the availability of Delta Lake 0.3.0 which introduces new programmatic APIs for manipulating and managing data in Delta Lake tables. Here are the main features:

  • Scala/Java APIs for DML commands - You can now modify data in Delta Lake tables using programmatic APIs for Delete (#44), Update (#43) and Merge (#42). These APIs mirror the syntax and semantics of their corresponding SQL commands and are great for many workloads, e.g., Slowly Changing Dimension (SCD) operations, merging change data for replication, and upserts from streaming queries. See the documentation for more details.

  • Scala/Java APIs for query commit history (#54) - You can now query a table’s commit history to see what operations modified the table. This enables you to audit data changes, time travel queries on specific versions, debug and recover data from accidental deletions, etc. See the documentation for more details.

  • Scala/Java APIs for vacuuming old files (#48) - Delta Lake uses MVCC to enable snapshot isolation and time travel. However, keeping all versions of a table forever can be prohibitively expensive. Stale snapshots (as well as other uncommitted files from aborted transactions) can be garbage collected by vacuuming the table. See the documentation for more details.

To try out Delta Lake 0.3.0, please follow the Delta Lake Quickstart.

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