public void PivotData_3D()
{
var pvtData = new PivotData(new string[] { "a", "year", "month" },
new CountAggregatorFactory());
pvtData.ProcessData(SampleGenerator(100000), GetRecordValue);
Assert.Equal(50000, Convert.ToInt32(
pvtData[pvtData.GetDimensionKeys()[0][0], Key.Empty, Key.Empty].Value));
Assert.Equal(100000, Convert.ToInt32(
pvtData[Key.Empty, pvtData.GetDimensionKeys()[1][0], Key.Empty].Value));
Assert.Equal(30240, Convert.ToInt32(
pvtData[Key.Empty, Key.Empty, pvtData.GetDimensionKeys()[2][0]].Value));
Assert.Equal(100000, Convert.ToInt32(
pvtData[Key.Empty, Key.Empty, Key.Empty].Value));
// incremental processing
pvtData.ProcessData(SampleGenerator(10000), GetRecordValue);
Assert.Equal(55000, Convert.ToInt32(
pvtData[pvtData.GetDimensionKeys()[0][0], Key.Empty, Key.Empty].Value));
Assert.Equal(40240, Convert.ToInt32(
pvtData[Key.Empty, Key.Empty, pvtData.GetDimensionKeys()[2][0]].Value));
Assert.Equal(110000, Convert.ToInt32(
pvtData[Key.Empty, Key.Empty, Key.Empty].Value));
}
public void PivotData_GetDimensionKeys()
{
var testData = generateData();
var pvtData = new PivotData(new string[] { "name", "qty", "i" }, new CountAggregatorFactory(), testData);
var dimKeys = pvtData.GetDimensionKeys();
Assert.Equal(3, dimKeys.Length);
// check "i" dim keys
Assert.Equal(1, dimKeys[2].Length);
Assert.Equal(2, dimKeys[2][0]);
// check "i" dim keys
Assert.Equal(10, dimKeys[1].Length);
var onlyOneDimKeys = pvtData.GetDimensionKeys(new [] { "i" });
Assert.Equal(1, onlyOneDimKeys.Length);
Assert.Equal(1, onlyOneDimKeys[0].Length);
// check custom comparers
var qtyDimKeys = pvtData.GetDimensionKeys(new [] { "i", "qty" },
new IComparer <object> [] {
null, //use default for i
NaturalSortKeyComparer.ReverseInstance
});
Assert.Equal(9, qtyDimKeys[1][0]);
}
public void PivotData_Merge()
{
var pvtData = new PivotData(new string[] { "a", "year", "month" },
new AverageAggregatorFactory("i"));
var pvtData1 = new PivotData(new string[] { "a", "year", "month" },
new AverageAggregatorFactory("i"));
var pvtData2 = new PivotData(new string[] { "a", "year", "month" },
new AverageAggregatorFactory("i"));
var pvtData3 = new PivotData(new string[] { "a", "b" }, new CountAggregatorFactory());
Assert.Throws <ArgumentException>(() => {
pvtData1.Merge(pvtData3);
});
pvtData.ProcessData(SampleGenerator(20000), GetRecordValue);
pvtData1.ProcessData(SampleGenerator(10000), GetRecordValue);
pvtData2.ProcessData(SampleGenerator(10000, 10000), GetRecordValue);
pvtData1.Merge(pvtData2);
foreach (var v in pvtData.AllValues)
{
var aggr = pvtData[v.Key];
var aggrMerged = pvtData1[v.Key];
Assert.Equal(aggr.Count, aggrMerged.Count);
Assert.Equal(aggr.Value, aggrMerged.Value);
}
Assert.Equal(pvtData.GetDimensionKeys()[0].Length, pvtData1.GetDimensionKeys()[0].Length);
Assert.Equal(pvtData.GetDimensionKeys()[1].Length, pvtData1.GetDimensionKeys()[1].Length);
Assert.Equal(pvtData.GetDimensionKeys()[2].Length, pvtData1.GetDimensionKeys()[2].Length);
}
public void PivotData_2D()
{
var testData = generateData();
var pvtData1 = new PivotData(new string[] { "name", "qty" }, new CountAggregatorFactory(), testData);
Assert.Equal(2, pvtData1.GetDimensionKeys()[0].Length);
Assert.Equal(10, pvtData1.GetDimensionKeys()[1].Length);
foreach (var cKey in pvtData1.GetDimensionKeys()[0])
{
foreach (var rKey in pvtData1.GetDimensionKeys()[1])
{
var v = pvtData1[cKey, rKey];
if (v.Count > 0)
{
Assert.Equal(100, Convert.ToInt32(v.Value));
}
}
}
var pvtData = new PivotData(new string[] { "name", "date" }, new SumAggregatorFactory("i"), testData);
Assert.Equal(2, pvtData.GetDimensionKeys()[0].Length);
Assert.Equal(42, pvtData.GetDimensionKeys()[1].Length);
var rowTest0Totals = new ValueKey("Test0", Key.Empty);
Assert.Equal(1000M, pvtData[rowTest0Totals].Value);
// calc test
var calcData = new object[5][] {
new object[] { "A", 10, 50 },
new object[] { "A", 15, 40 },
new object[] { "B", 20, 50 },
new object[] { "B", 25, 60 },
new object[] { "C", 10, 0 }
};
Func <object, string, object> getVal = (r, f) => {
return(((object[])r)[Convert.ToInt32(f)]);
};
var countPvtData = new PivotData(new string[] { "0", "1" }, new CountAggregatorFactory());
countPvtData.ProcessData(calcData, getVal);
Assert.Equal(2, Convert.ToInt32(countPvtData["A", Key.Empty].Value));
Assert.Equal(1, Convert.ToInt32(countPvtData["C", Key.Empty].Value));
var avgPvtData = new PivotData(new string[] { "0", "1" }, new AverageAggregatorFactory("2"));
avgPvtData.ProcessData(calcData, getVal);
Assert.Equal(45M, avgPvtData["A", Key.Empty].Value);
Assert.Equal(0M, avgPvtData["C", Key.Empty].Value);
Assert.Equal(25M, avgPvtData[Key.Empty, 10].Value);
}
protected void Page_Load(object sender, EventArgs e)
{
PvtData = GetDataCube();
if (!IsPostBack)
{
// bind years filter items
var yearKeys = PvtData.GetDimensionKeys(new[] { "Order Year" })[0];
filterYear.DataSource = yearKeys.Select(y => new ListItem(y.ToString(), y.ToString())).ToArray();
filterYear.DataBind();
}
}
public void PerfTest()
{
var sw = new Stopwatch();
sw.Start();
var pvtData = new PivotData(
new string[] { "year", "month", "a" },
new CompositeAggregatorFactory(new CountAggregatorFactory(), new SumAggregatorFactory("i")),
SampleGenerator(5000000),
GetRecordValue, true);
sw.Stop();
Console.WriteLine("ProcessData: {0}", sw.Elapsed);
sw.Restart();
var dimKeys = pvtData.GetDimensionKeys();
sw.Stop();
Console.WriteLine("GetDimensionKeys: {0}", sw.Elapsed);
Assert.Equal(2500000, Convert.ToInt32(pvtData[Key.Empty, Key.Empty, dimKeys[2][0]].AsComposite().Aggregators[0].Value));
Assert.Equal(470880, Convert.ToInt32(pvtData[2015, Key.Empty, Key.Empty].AsComposite().Aggregators[0].Value));
}
//This takes a DataTable and returns a PivotTable on a given field (var_to_process) by a list of Rows and Cols
public static PivotTable DataTable_to_PivotTable(DataTable dtStacked, List <string> pivotRows, List <string> pivotCols, string fldname, List <AggrFx> requested_stats)
{
if (dtStacked.Rows.Count > 0)
{
List <string> keepCols = new List <string>();
keepCols.AddRange(pivotRows);
keepCols.AddRange(pivotCols);
keepCols.Add(fldname);
IAggregatorFactory[] aggs = new IAggregatorFactory[requested_stats.Count];
CountAggregatorFactory aggrN = new CountAggregatorFactory();
AverageAggregatorFactory aggrM = new AverageAggregatorFactory(fldname);
VarianceAggregatorFactory aggrSD = new VarianceAggregatorFactory(fldname, VarianceAggregatorValueType.StandardDeviation);
MinAggregatorFactory aggrMin = new MinAggregatorFactory(fldname);
MaxAggregatorFactory aggrMax = new MaxAggregatorFactory(fldname);
SumAggregatorFactory aggrSum = new SumAggregatorFactory(fldname);
ConcatAggregatorFactory aggrConcat = new ConcatAggregatorFactory(fldname);
CountUniqueAggregatorFactory aggrNunq = new CountUniqueAggregatorFactory(fldname);
Concat2AggregatorFactory aggrConcat2 = new Concat2AggregatorFactory(fldname);
int counter = 0;
foreach (AggrFx s in requested_stats)
{
if (s == AggrFx.M)
{
aggs[counter] = aggrM;
}
else if (s == AggrFx.SD)
{
aggs[counter] = aggrSD;
}
else if (s == AggrFx.N)
{
aggs[counter] = aggrN;
}
else if (s == AggrFx.Nunq)
{
aggs[counter] = aggrNunq;
}
else if (s == AggrFx.Min)
{
aggs[counter] = aggrMin;
}
else if (s == AggrFx.Max)
{
aggs[counter] = aggrMax;
}
else if (s == AggrFx.Sum)
{
aggs[counter] = aggrSum;
}
else if (s == AggrFx.Concat)
{
aggs[counter] = aggrConcat;
}
else if (s == AggrFx.Concat2)
{
aggs[counter] = aggrConcat2;
}
counter++;
}
if (aggs.Length > 1)
{
CompositeAggregatorFactory compositeFactory = new CompositeAggregatorFactory(aggs);
var cube = new PivotData(keepCols.ToArray(), compositeFactory);
cube.ProcessData(new DataTableReader(dtStacked));
var allKeys = cube.GetDimensionKeys(); // returns array of keys for each dimension
var pivotTable = new PivotTable(
pivotRows.ToArray(), // row dimension(s)
pivotCols.ToArray(), // column dimension(s)
cube);
return(pivotTable);
}
else
{
var cube = new PivotData(keepCols.ToArray(), aggs[0]);
cube.ProcessData(new DataTableReader(dtStacked));
var allKeys = cube.GetDimensionKeys(); // returns array of keys for each dimension
var pivotTable = new PivotTable(
pivotRows.ToArray(), // row dimension(s)
pivotCols.ToArray(), // column dimension(s)
cube);
return(pivotTable);
}
}
else
{
return(null);
}
}