‹›云端和网络界面缓存主要的天气概况网页
如果一个 Delayed 的云对象在需要重新计算之前会有许多人去访问,其输出可以通过 CachePersistence 选项缓存一段时间.
定义一个函数计算里约热内卢过去一周的温度记录.
显示完整的 Wolfram 语言输入
rioTemperatureHistory[] :=
With[{temps =
AirTemperatureData[
GeoPosition[
Entity["City", {"RioDeJaneiro", "RioDeJaneiro",
"Brazil"}]], {Now - Quantity[1, "Weeks"], Now}]},
labelcolor = GrayLevel[0.4];
tempcolor = GrayLevel[0.4];
grid = Grid[{{Style["Current", labelcolor],
Row[{Style[
QuantityForm[Round@Last[temps["Values"]], "Abbreviation"],
tempcolor], " "}]}, {Style["High", labelcolor],
Row[{Style[
QuantityForm[Round@Max[temps["Values"]], "Abbreviation"],
tempcolor], " "}]}, {Style["Low", labelcolor],
Row[{Style[
QuantityForm[Round@Min[temps["Values"]], "Abbreviation"],
tempcolor], " "}]}}, Alignment -> {{Right, Left}}];
table =
Style[Column[{Row[{"Past Week "}, Alignment -> {Bottom, Right}
], grid}, Alignment -> Right], 16, RGBColor[
0.9098049191388243, 0.3176450101594796, 0.24313742164725222`]];
DateListPlot[temps, PlotRange -> {55, 100},
AxesLabel -> Style["\[Degree]F", 20, Black],
TicksStyle -> Directive[Black, 14], Ticks -> {None, Automatic},
PlotStyle -> Directive[AbsoluteThickness[2], Black],
Filling -> Bottom,
FillingStyle ->
Directive[RGBColor[
0.9098049191388243, 0.3176450101594796, 0.24313742164725222`],
Opacity[1]],
Epilog -> Inset[table, Scaled[{0.95, 0.9}], {Right, Top}],
PlotTheme -> {"Wide", "Presentation"}, ImageSize -> 550]]
rioTemperatureHistory[]
部署该函数使之成为一个应用程序,且会将其结果缓存 5 分钟. 这样,服务器无需每次都重新计算出结果,成千上万的用户就可以访问该应用程序,并得到基本上实时的信息. 其结果是更好的响应时间和更低的服务器负载.
obj = CloudDeploy[
Delayed[rioTemperatureHistory[], "PNG",
CachePersistence -> Quantity[5, "Minutes"]]]