/// <summary>
/// Builds an index with randomly generated time series
/// </summary>
public static void BaseIndex()
{
DateTime startTime = DateTime.Now;
// index construction
Index <RawDataFormat> si = new Index <RawDataFormat>(0, new IndexOptions("root"));
DataLoader dl = new GeneratedRawDataLoader(si, Globals.TimeSeriesLength, NUM_TIMESERIES, SEED);
InsertTimeSeries(dl);
Console.WriteLine();
Console.WriteLine("Sequential Disk Accesses: " + DiskCost.seqcost);
Console.WriteLine("Random Disk Accesses: " + DiskCost.rancost);
Console.WriteLine("Read Disk Accesses: " + DiskCost.readcost);
Console.WriteLine("Saved cost in buffer: " + DiskCost.savedcost);
Console.WriteLine();
Index <RawDataFormat> .Save(Globals.IndexRootDir, si);
Index <RawDataFormat> si2 = Index <RawDataFormat> .Load(Globals.IndexRootDir);
DateTime endConstructionTime = DateTime.Now;
Console.WriteLine("Index Construction Time: {0}", endConstructionTime - startTime);
// generate some test queries
const int NUM_QUERIES = 10;
List <double[]> queries = new List <double[]>(NUM_QUERIES);
for (int i = 0; i < NUM_QUERIES; i++)
{
queries.Add(Util.RandomWalk(Globals.TimeSeriesLength));
}
// full sequential scan
Console.WriteLine("Performing full sequential scan.");
Console.WriteLine("--------------------------------");
List <IndexFileDist[]> nnInfo = si.KNearestNeighborSequentialScan(10, queries);
Console.WriteLine();
// query results
Console.WriteLine("Performing exact and approximate search.");
Console.WriteLine("----------------------------------------");
int counter = 0;
for (int i = 0; i < NUM_QUERIES; i++)
{
IndexFileDist exactResult;
si.ExactSearch(queries[i], out exactResult);
IndexFileDist approxResult = Index <RawDataFormat> .MinFileEucDist(queries[i],
si.ApproximateSearch(queries[i]).FileName);
Assert.IsTrue(exactResult == nnInfo[i][0]);
if (approxResult == exactResult)
{
counter++;
Console.WriteLine(approxResult);
}
}
Console.WriteLine("{0} approximate results == exact results.", counter);
Console.WriteLine();
}
