Whether you choose to do this in C# or SQL depends partly on the scale of the data. Assuming that we're working with a relatively small number of time ranges (say < 10), it would be reasonable to pull all the times into memory and find the blocks in C#.
Given the following classes:
public class Schedule {
public int ID { get; set; }
public DateTime Start { get; set; }
public DateTime End { get; set; }
public int Minutes { get; set; }
}
public class ScheduleBlock : Schedule {
public List<Schedule> Schedules { get; set; }
}
Here is a simple algorithm that iteratively combines ranges together until every possible combination is represented (note that the number of combinations grows as O(n^2)):
public List<ScheduleBlock> CombineAllSchedules(List<Schedule> origschedules, out int added)
{
added = 0;
var schedules = new List<ScheduleBlock>();
foreach (var s in origschedules) {
var snew = new ScheduleBlock { Schedules = new List<Schedule> { s }, Start = s.Start, End = s.End, Minutes = s.Minutes };
schedules.Add(snew);
}
for (var i = 0; i < schedules.Count; i++) {
var s = schedules[i];
var matchstart = schedules.Where (s2 => s2.End == s.Start).ToList();
var matchend = schedules.Where (s2 => s2.Start == s.End).ToList();
foreach (var s2 in matchstart) {
var newschedule = CombineSchedules(s2, s);
if (!schedules.Any (sc => sc.Start == newschedule.Start && sc.End == newschedule.End)) {
schedules.Add(newschedule);
added++;
}
}
foreach (var s2 in matchend) {
var newschedule = CombineSchedules(s, s2);
if (!schedules.Any (sc => sc.Start == newschedule.Start && sc.End == newschedule.End)) {
schedules.Add(newschedule);
added++;
}
}
}
return schedules;
}
public ScheduleBlock CombineSchedules(Schedule s1, Schedule s2)
{
var schedules = new List<Schedule>();
if (s1 is ScheduleBlock) schedules.AddRange(((ScheduleBlock)s1).Schedules);
else schedules.Add(s1);
if (s2 is ScheduleBlock) schedules.AddRange(((ScheduleBlock)s2).Schedules);
else schedules.Add(s2);
var s = new ScheduleBlock {
Schedules = schedules,
Start = s1.Start, End = s2.End, Minutes = s1.Minutes + s2.Minutes
};
return s;
}
Once the combinations are put together, then it is a simple matter to query them and get specific lengths (like 60 minutes or 120 minutes):
public List<ScheduleBlock> FindBlocks(List<Schedule> schedules, int blockLength)
{
int added;
var combinedSchedules = CombineAllSchedules(schedules, out added);
var result = combinedSchedules.Where (s => s.Minutes == blockLength).ToList();
return result;
}
With this algorithm in place, you can do something like this for example to get the output you're looking for:
var schedules = new List<Schedule> {
new Schedule { ID = 1, Start = DateTime.Parse("09:00 AM"), End = DateTime.Parse("09:30 AM") },
new Schedule { ID = 2, Start = DateTime.Parse("09:30 AM"), End = DateTime.Parse("10:00 AM") },
new Schedule { ID = 3, Start = DateTime.Parse("10:00 AM"), End = DateTime.Parse("10:30 AM") },
new Schedule { ID = 4, Start = DateTime.Parse("10:30 AM"), End = DateTime.Parse("11:00 AM") },
};
foreach (var s in schedules) {
s.Minutes = (int)(s.End - s.Start).TotalMinutes;
}
Console.WriteLine("60 Minute Blocks");
Console.WriteLine("----------------");
var blocks = FindBlocks(schedules, 60);
var blockId = 1;
foreach (var block in blocks) {
var output = "Block" + blockId +
": Schedules(" + string.Join(",", block.Schedules.Select (s => s.ID)) + "): " +
block.Start.ToString("h:mmtt") + " - " + block.End.ToString("h:mmtt");
Console.WriteLine(output);
blockId++;
}
Console.WriteLine();
Console.WriteLine("120 Minute Blocks");
Console.WriteLine("----------------");
blocks = FindBlocks(schedules, 120);
blockId = 1;
foreach (var block in blocks) {
var output = "Block" + blockId +
": Schedules(" + string.Join(",", block.Schedules.Select (s => s.ID)) + "): " +
block.Start.ToString("h:mmtt") + " - " + block.End.ToString("h:mmtt");
Console.WriteLine(output);
blockId++;
}
Sample Result:
60 Minute Blocks
----------------
Block1: Schedules(1,2): 9:00AM - 10:00AM
Block2: Schedules(2,3): 9:30AM - 10:30AM
Block3: Schedules(3,4): 10:00AM - 11:00AM
120 Minute Blocks
----------------
Block1: Schedules(1,2,3,4): 9:00AM - 11:00AM