[WIP] Add timeseries / observability benchmarks

[alamb]

Which issue does this PR close?

Closes #8791

Rationale for this change

There are usecases for several DataFusion users (like IOx) that store observability data, that is often characterized by low cardinality string data encoded as dictionaries. While the current parquet_filter pushdown benchmarks (TODO LINK) cover this example, we don't have an end to end test that does.

This has caused problems when have made changes such as #7647 that should improve the performance of these queries but we had no reproducible way to measure the impact, and couldn't evaluate if the change was beneficial enough to warrant additional code complexity

There in systems such as IOx the data is very often sorted and the sort order is quite important for performance. However, DataFusion's existing benchmark coverage does not have any pre-sorted data

What changes are included in this PR?

1. Add a datafusion specific data set to to model common patterns in timeseries data -- http access logs / metrics and tracing data specifically. This uses the same generator as used in several other parts of DataFusion
2. Add a XXX benchmark to dfbench, runnable by bench.sh along with several queries

Are these changes tested?

All tests

Are there any user-facing changes?

No

TODO

• add ticket / extend to model logging data as well

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