Harcy
Harcy is a commune in the Ardennes department in northern France.
Harcy | |
|---|---|
_%C3%A9glise.JPG) The church in Harcy | |
 Coat of arms | |
Location of Harcy 
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  Harcy  Harcy | |
| Coordinates: 49°50′12″N 4°33′51″E | |
| Country | France |
| Region | Grand Est |
| Department | Ardennes |
| Arrondissement | Charleville-Mézières |
| Canton | Rocroi |
| Intercommunality | Val et Plateau d'Ardenne |
| Government | |
| • Mayor (2008–2014) | Joël Richard |
| Area 1 | 19.15 km2 (7.39 sq mi) |
| Population (2017-01-01)[1] | 507 |
| • Density | 26/km2 (69/sq mi) |
| Time zone | UTC+01:00 (CET) |
| • Summer (DST) | UTC+02:00 (CEST) |
| INSEE/Postal code | 08212 /08150 |
| Elevation | 200–370 m (660–1,210 ft) (avg. 270 m or 890 ft) |
| 1 French Land Register data, which excludes lakes, ponds, glaciers > 1 km2 (0.386 sq mi or 247 acres) and river estuaries. | |
Population
| Year | Pop. | ±% |
|---|---|---|
| 1962 | 393 | — |
| 1968 | 402 | +2.3% |
| 1975 | 403 | +0.2% |
| 1982 | 419 | +4.0% |
| 1990 | 447 | +6.7% |
| 1999 | 459 | +2.7% |
| 2008 | 503 | +9.6% |
gollark: It's less complex for everyone interacting with it, since they can just... use SQLite, which has bindings for everything, instead of "zimlib". And by "efficiency" do you mean "space efficiency" or "lookup efficiency"? Because, as I said, SQLite would probably only add a few bytes per directory entry row, which is not a significant increase.
gollark: SQLite's overhead is pretty low, and the majority of the filesize is from the binary blobs which would remain the same in each.
gollark: It's less complex for them as the code is already there and written with a nice API, and "less efficient" how? Slightly more space on headers?
gollark: You could easily store the directory entry bits as an SQLite table.
gollark: This is an excellent use case for SQLite, which would allow quick lookups in the metadata bit and not require coming up with a fiddly custom binary format.
See also
References
- "Populations légales 2017". INSEE. Retrieved 6 January 2020.
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