v0.0.8

What's Changed

• Add logging by @goodwillpunning in #11
• Remove unnecessary function by @goodwillpunning in #12
• Add setName() function and temp view creation. by @goodwillpunning in #14
• Update getting started example notebooks by @goodwillpunning in #15
• Update README - installation by @anhhchu in #18
• Make beaker runnable without spark + create more examples. by @nishant-deshpande-db in #17
• Michaelberk/add query repeat by @michael-berk in #20
• Michaelberk/black format by @michael-berk in #21
• Update dist by @michael-berk in #23
• Create a connection per thread vs a new connection for every query by @nishant-deshpande-db in #25
• General code cleanup by @goodwillpunning in #26
• Update project's toml file by @goodwillpunning in #27
• Fix bugs by @anhhchu in #29
• Feature: Enable classic and pro warehouse creation by @anhhchu in #30
• v0.0.6 Query metrics from history by @anhhchu in #32
• v0.0.7 & v0.0.8 by @anhhchu in #33
• Clean and ready for release v0.0.8 by @anhhchu in #35

New Contributors

• @anhhchu made their first contribution in #18
• @nishant-deshpande-db made their first contribution in #17
• @michael-berk made their first contribution in #20

Full Changelog: v0.0.1...v0.0.8

Beaker v0.0.1

This is the initial release of beaker - a super simple way to run benchmark queries on a Databricks SQL warehouse or cluster. This release includes the following features:

• Execute queries on an existing SQL warehouse or cluster
• Create a new SQL warehouse to execute benchmark queries
• Specify the number of concurrent queries to execute
• Execute a single query or multiple queries from a file
• Display a query metric report that details query execution time and concurrency