Complete Implement fast Vectorized grouping for high cardinality

[alamb]

Is your feature request related to a problem or challenge?

This is a summary issue tracking the work to complete the design described in #4973 (comment)

Describe the solution you'd like

• Create a POC demonstrating sufficient improvement: RFC: Demonstrate new GroupHashAggregate stream approach (runs more than 2x faster!) #6800
• Create a PR to use the new GroupsAggregators: Vectorized hash grouping #6904
• Regression: bit_and aggregate function is incorrect #6955
• File ticket for Optimize inner loop / null calculation performance Improve grouping performance via better vectorization in accumulate functions #7066
• Add tests for min/max aggregates on Strings: Minor: Add String/Binary aggregate tests #6962
• Reduce duplication between BoundedAggregateStream and GroupedHashAggregateStream #6798
• Remove RowAggregators and the now unused row format Remove RowAccumulators and datafusion-row #6968
• Write a blog post fast Vectorized grouping for high cardinality #6988
• File a ticket for avoiding reallocations in accumulators (suggested y @yjshen on RFC: Demonstrate new GroupHashAggregate stream approach (runs more than 2x faster!) #6800 (comment)): [EPIC] Improve aggregate performance with adaptive sizing in accumulators / avoiding reallocations in accumulators #7065
• File a ticket for fast min/max accumulator for strings : Implement fast min/max accumulator for binary / strings (now it uses the slower path) #6906
• File a ticket about special casing single column group by queries and avoiding the row conversion (suggested by @Dandandan on RFC: Demonstrate new GroupHashAggregate stream approach (runs more than 2x faster!) #6800 (comment)): Improve aggregate performance by special casing single group keys #6969

Describe alternatives you've considered

No response

Additional context

No response

[alamb]

I am claiming success this ticket 🎉 -- I have the blog post #6988 written, and will get a PR up with a proposal in a few days, but I see no value in keeping this ticket open longer, so I am closing it

Thanks everyone for their help!