Commits on Oct 6, 2020

1. Speed up interval rounding (elastic#63245) …

   This speeds up date_histogram by precomputing the rounding points for
   date intervals like `10d`. The speedup for the rounding itself is
   between 18% (UTC many buckets) and 65% (US Eastern Time few buckets).
   43% seems like it'd be pretty common:
   
   ```
   Benchmark   (count)  (interval)                   (range)           (zone)  Mode  Cnt          Score         Error  Units
   before     10000000         10d  2000-10-28 to 2000-10-31              UTC  avgt   10  130822390.700 ±  177466.657  ns/op
   before     10000000         10d  2000-10-28 to 2000-10-31 America/New_York  avgt   10  189236837.930 ± 7958933.566  ns/op
   after      10000000         10d  2000-10-28 to 2000-10-31              UTC  avgt   10   66413746.325 ± 1578834.032  ns/op
   after      10000000         10d  2000-10-28 to 2000-10-31 America/New_York  avgt   10   65656941.375 ±  291608.870  ns/op
   
   before     10000000          2h  2000-10-28 to 2000-10-31              UTC  avgt   10  130854975.013 ±  369133.702  ns/op
   before     10000000          2h  2000-10-28 to 2000-10-31 America/New_York  avgt   10  165831615.257 ±  139074.982  ns/op
   after      10000000          2h  2000-10-28 to 2000-10-31              UTC  avgt   10  107832636.671 ± 3502704.198  ns/op
   after      10000000          2h  2000-10-28 to 2000-10-31 America/New_York  avgt   10  107608802.940 ±  979286.160  ns/op
   ```
   
   Speedup for the date_histogram is likely to vary based on how much IO
   dominates the collection.

   

   nik9000 committed Oct 6, 2020
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