v2.0.7

Merge pull request #103 from microsoft/v3

v2.0.7

v2.0.6

Installer error fix

v2.0.5

v2.0.5

• Data Maintenance (see docs)
  -- Scheduled maintenance support
  -- Lakehouse Delta Inventory
• Integration Tests
• Documentation Updates
• Misc. Fixes and Updates

v2.0.4

Version 2 Changes

Performance improvements and new runtime optimization options (ex: approximate_source_row_counts)
Configuration updates (Reorganized/regroup for simplicity and clarity)
Unified logging framework & telemetry
Table pattern-match filters for discovery
Source predicate without source_query
Fabric-side partitioning (override BQ partitioning schema)
Column-mapping (rename and data-type conversion)
BQ Spark Connector optimization parameters (recommendations)
Improved reporting/exception handling in Installer
Automated version upgrade utility
Migration to .toml/Build Modernization
Publish to PyPi (https://pypi.org/project/FabricSync/)

Version 1.1.0

• Improve performance & overall TCO with support for BigQuery Standard API for Metadata Sync operations.
• Improved exception handling and status reporting to standard out
• Added support for source_query tracking in sync telemetry tables

Version 1.0.0

Version 1.0.0 Features

• Multi-Project/Multi-Dataset sync support
• Table & Partition expiration based on BigQuery configuration
• Synching support for Views & Materialized Views
• Support for handling tables with required partition filters
• BigQuery connector configuration for alternative billing and materialization targets
• Ability to rename BigQuery tables and map to specific Lakehouse
• Complex-type (STRUCT/ARRAY) handling/flattening
• Support for Delta schema evolution for evolving BigQuery table/view schemas
• Support for Delta table options for Lakehouse performance/optimization
• Automatic Lakehouse table maintenance on synced tables
• Detailed process telemetry that tracks data movement and pairs with native Delta Time Travel capabilities