paleolimbot commented on PR #510:
URL: https://github.com/apache/sedona-db/pull/510#issuecomment-3755349902
For this particular example (ST_Envelope) it's hugely beneficial:
```python
import sedona.db
sd = sedona.db.connect()
# 10 million points
sd.sql("""SELECT * FROM sd_random_geometry('{"target_rows":
10000000}')""").to_memtable().to_view("pts")
# pip install --pre --force-reinstall sedonadb
--extra-index-url=https://repo.fury.io/sedona-nightlies/
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
1000""").execute()
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
10000""").execute()
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
100000""").execute()
#> CPU times: user 885 ms, sys: 29.9 ms, total: 915 ms
#> Wall time: 95.7 ms
#> CPU times: user 1.03 s, sys: 13.5 ms, total: 1.04 s
#> Wall time: 99.2 ms
#> CPU times: user 15.8 s, sys: 146 ms, total: 15.9 s
#> Wall time: 1.44 s
# pip install python/sedonadb
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
1000""").execute()
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
10000""").execute()
%time sd.sql("""SELECT ST_Envelope_Agg(geometry) as e FROM pts GROUP BY id %
100000""").execute()
#> CPU times: user 283 ms, sys: 34.6 ms, total: 317 ms
#> Wall time: 43.1 ms
#> CPU times: user 238 ms, sys: 7.81 ms, total: 246 ms
#> Wall time: 25.7 ms
#> CPU times: user 407 ms, sys: 58 ms, total: 465 ms
#> Wall time: 44.5 ms
```
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