我有不同工作的"开始"和"结束"时间数据,按"所有者"分组:
Data <- data.frame(
job = c(1, 2, 3, 4, 5),
owner = c("name1", "name2", "name1", "name1", "name2"),
Start = as.POSIXct(c("2015-01-01 15:00:00", "2015-01-01 15:01:00", "2015-01-01 15:13:00", "2015-01-01 15:20:00", "2015-01-01 15:39:02"), format="%Y-%m-%d %H:%M:%S"),
End = as.POSIXct(c("2015-01-01 15:11:11", "2015-01-01 15:17:21", "2015-01-01 15:17:00", "2015-01-01 15:31:21", "2015-01-01 15:40:11"), format="%Y-%m-%d %H:%M:%S")
)
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对于每个所有者,我想计算每个所有者的作业之间的空闲时间,即一个作业的"结束"时间与下一个作业的"开始"时间之间的差异.
如何使用difftime()不同列中的特定行和时间之间的时间差来计算?
结果应如下所示:
job, owner, idletime
1, name1, NA
2, name2, NA
3, name1, 1.816667 # End of row 1 minus Start of row 3
4, name1, 3.0 # End of …Run Code Online (Sandbox Code Playgroud) 给定以下架构,我想计算:games_won /:games_played,将其填充到:percentage_won并按:percentage_won进行排序。如果使用select_merge并省略了“ AS”,我设法计算出该值,但是如何在中引用此计算列order_by?
schema "players" do
field :name, :string
field :games_played, :integer
field :games_won, :integer
field :percentage_won, :float, virtual: true
timestamps()
end
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我尝试了以下查询:
def list_players(sort_by, sort_order) do
query =
from(p in Player,
select_merge: %{percentage_won: fragment("(?::decimal / NULLIF(?,0)) AS ?", p.games_won, p.games_played, p.percentage_won)},
order_by: [{^sort_order, field(p, ^String.to_atom(sort_by))}])
Repo.all(query)
end
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但是打电话list_players("percentage_won", :asc)给我以下错误:
** (Ecto.QueryError) ...:28: field `percentage_won` in `select` is a virtual field in schema Player in query:
from p0 in Player,
order_by: [asc: p0.name],
select: …Run Code Online (Sandbox Code Playgroud)