feat: parquet

[yihong0618]

you can use duckdb parquet

pip3 install duckdb

import duckdb
duckdb.sql("select regexp_extract(location_country, '[\u4e00-\u9fa5]{2,}(市|自治州|特别行政区)') as run_location, concat(try_cast(sum(distance/1000) as integer)::varchar,' km') as run_distance from read_parquet('https://github.com/yihong0618/run/raw/refs/heads/master/run_page/data.parquet') where run_location is not NULL group by run_location order by sum(distance) desc;").show(max_rows=50)

show

┌──────────────┬──────────────┐
│ run_location │ run_distance │
│   varchar    │   varchar    │
├──────────────┼──────────────┤
│ 大连市       │ 9328 km      │
│ 沈阳市       │ 2030 km      │
│ 北京市       │ 61 km        │
│ 长沙市       │ 24 km        │
│ 扬州市       │ 21 km        │
│ 盘锦市       │ 21 km        │
│ 烟台市       │ 21 km        │
│ 上海市       │ 12 km        │
│ 北九州市     │ 7 km         │
│ 丹东市       │ 5 km         │
│ 瓦房店市     │ 4 km         │
│ 竹田市       │ 3 km         │
│ 伊万里市     │ 2 km         │
│ 长春市       │ 1 km         │
│ 锦州市       │ 1 km         │
│              │ 0 km         │
├──────────────┴──────────────┤
│ 16 rows           2 columns │
└─────────────────────────────┘

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