Beipu

Beipu Township (Chinese: 北埔鄉; pinyin: Běipǔ Xiāng; Hakka: Pet-phû-hiông) is a rural township in Hsinchu County, Taiwan. Beipu is well known in Taiwan as a center of Hakka culture, especially for production of dongfang meiren tea and its special Hakkanese blends of tea and nuts called lei cha.

Beipu Township
北埔鄉
Beipu Township in Hsinchu County
Beipu Township
北埔鄉
Beipu Township in Hsinchu County
Coordinates: 24°39′50″N 121°4′5″E
CountryRepublic of China
ProvinceTaiwan
CountyHsinchu
Government
  TypeRural township
Area
  Total50.6676 km2 (19.5629 sq mi)
Population
 (Nov. 2017)
  Total9,408
  Density190/km2 (480/sq mi)

History

The town was the scene of the 1907 Beipu Uprising against Japanese rule of Taiwan when insurgents of both Hakka and indigenous Saisiyat extraction attacked Japanese officials and their families. In retaliation, Japanese military and police killed more than 100 Hakka people, the majority of whom were young men from Neidaping (內大坪), a small village in the mountainous southern part of the township.[1]

Demographics

As of 2014, Beipu had a population of 9,784, of whom 98 percent were Hakka.

Administrative divisions

The township comprises nine villages: Beipu, Nanxing, Dahu, Puwei, Shuiji, Nanpu, Dalin, Nankeng, and Waiping.

Tourist attractions

Notable natives

gollark: ```sqlnonlocality=# EXPLAIN ANALYZE SELECT url, ts_rank(fts, query) AS rank, ts_headline(fts::text, query, 'MaxWords=60') FROM pages, websearch_to_tsquery('bee') query WHERE fts @@ query ORDER BY rank LIMIT 1; QUERY PLAN -------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=860.79..861.06 rows=1 width=96) (actual time=35935.590..35935.594 rows=1 loops=1) -> Result (cost=860.79..874.83 rows=52 width=96) (actual time=35935.587..35935.589 rows=1 loops=1) -> Sort (cost=860.79..860.92 rows=52 width=178) (actual time=35934.109..35934.111 rows=1 loops=1) Sort Key: (ts_rank(pages.fts, query.query)) Sort Method: top-N heapsort Memory: 25kB -> Nested Loop (cost=0.25..860.53 rows=52 width=178) (actual time=444.148..35932.932 rows=349 loops=1) Join Filter: (pages.fts @@ query.query) Rows Removed by Join Filter: 10272 -> Function Scan on websearch_to_tsquery query (cost=0.25..0.26 rows=1 width=32) (actual time=0.038..0.041 rows=1 loops=1) -> Seq Scan on pages (cost=0.00..728.95 rows=10495 width=142) (actual time=10.189..289.581 rows=10621 loops=1) Planning Time: 0.184 ms Execution Time: 35935.637 ms(12 rows)```
gollark: What? Why does it say it's doing a sequential scan now? Æ all is bee.
gollark: Slower, even.
gollark: Oops, it turns out I'm accidentally sorting by it instead of the rank, but it's equally slow after fixing that.
gollark: ```nonlocality=# EXPLAIN ANALYZE SELECT url, ts_rank(fts, query), ts_headline(fts::text, query, 'MaxWords=60') AS rank FROM pages, websearch_to_tsquery('bee') query WHERE fts @@ query ORDER BY rank LIMIT 1; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=860.92..860.92 rows=1 width=96) (actual time=8506.425..8506.427 rows=1 loops=1) -> Sort (cost=860.92..861.05 rows=52 width=96) (actual time=8506.423..8506.425 rows=1 loops=1) Sort Key: (ts_headline((pages.fts)::text, query.query, 'MaxWords=60'::text)) Sort Method: top-N heapsort Memory: 25kB -> Nested Loop (cost=688.65..860.66 rows=52 width=96) (actual time=1.362..8505.403 rows=348 loops=1) -> Function Scan on websearch_to_tsquery query (cost=0.25..0.26 rows=1 width=32) (actual time=0.023..0.025 rows=1 loops=1) -> Bitmap Heap Scan on pages (cost=688.40..846.49 rows=52 width=142) (actual time=0.353..1.502 rows=348 loops=1) Recheck Cond: (fts @@ query.query) Heap Blocks: exact=231 -> Bitmap Index Scan on page_search_index (cost=0.00..688.39 rows=52 width=0) (actual time=0.320..0.320 rows=387 loops=1) Index Cond: (fts @@ query.query) Planning Time: 0.190 ms Execution Time: 8506.463 ms(13 rows)```

References

  1. Yang Ching-ting (28 Nov 2007). "Time to recall the Beipu Uprising". Taipei Times. p. 8. Archived from the original on 20 June 2018. Retrieved 9 Aug 2016.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.