v5.1.0

Changes to comply with License Scan of Source.

v5.0.0

QFlock release including

• Intelligent Join Pushdown
• New, more efficient, and more performant Qflock Remote Server Protocol
• New Query Caching mechanism.
• All Spark Plug-ins working with latest released Spark version 3.3.0.
• All of the above working for majority of TPC-DS queries.
• Fully demonstrated performance improvements using TPC-DS.
• Presentation Overview pdf available showing the highlights and accomplishments and performance results.
• Design Document pdf updated to include more than 10 new pages with new details for of all the above.

v4.0

QFlock release including

• Join Pushdown
• Optimized APIs for data transfer with JDBC server.
• All of the above working for majority of TPC-DS queries.
• Fully demonstrated performance improvements using TPC-DS.

v3.0

QFlock Release including

• Aggregate Pushdown
• Intelligent Query Caching
• Additional pushdown support for second pass pushdown of project.
• New Design Document.
• All of the above working for majority of TPC-DS queries.
• Fully demonstrated performance improvements using TPC-DS.

v2.0

QFlock Release including

• New Design Document.
• May Update Presentation
• Custom Spark JDBC Rule to invoke QFlock JDBC Datasource.
• QFlock JDBC Datasource, which interacts with remote QFlock JDBC Server via QFlock JDBC Driver.
• QFlock JDBC Driver fully working to interact and perform queries using QFlock JDBC Server.
  • Includes support for extra efficiency including compressed columns over JDBC.
• Working remote QFlock JDBC Server
  • Can support a full range of Query pushdown including filter and project.
  • Supports compression on a per column basis.
• All of the above working for majority of TPC-DS queries.
• Fully demonstrated performance improvements using TPC-DS.

v1.0

First release of QFlock

• Baseline Setup
• Size Estimator Spark Extension (First Revision)
• Please see our documentation for more details. April Update Document