private static void AddSuggestionsForTerm(IReadOnlyCollection <Table> targetTables, IntelliSenseResult result, TermExpression lastTerm, IntelliSenseGuidance guidance, List <IntelliSenseItem> suggestions)
{
if (lastTerm != null && lastTerm.ColumnName == "*")
{
object termValue = lastTerm.Value;
List <Tuple <string, int, int> > columnsForTerm = new List <Tuple <string, int, int> >();
foreach (Table table in targetTables)
{
DataBlockResult columns = table.Query(new TermInColumnsQuery(termValue.ToString(), GetCompleteQueryPrefix(result)));
for (int i = 0; i < columns.Values.RowCount; ++i)
{
columnsForTerm.Add(new Tuple <string, int, int>((string)columns.Values[i, 0], (int)columns.Values[i, 1], (int)columns.Total));
}
}
// Sort overall set by frequency descending
columnsForTerm.Sort((left, right) => ((double)right.Item2 / (double)right.Item3).CompareTo((double)left.Item2 / (double)left.Item3));
// Add top 10 suggestions
int countToReturn = Math.Min(10, columnsForTerm.Count);
for (int i = 0; i < countToReturn; ++i)
{
suggestions.Add(new IntelliSenseItem(QueryTokenCategory.ColumnName, QueryParser.WrapColumnName(columnsForTerm[i].Item1) + " : " + QueryParser.WrapValue(termValue), columnsForTerm[i].Item2, columnsForTerm[i].Item3));
}
}
}
private static void AddValueDistribution(IntelliSenseResult result, TermExpression lastTerm, IntelliSenseGuidance guidance, List <IntelliSenseItem> suggestions, Table singleTable, ColumnDetails singleColumn)
{
string completeQuery = GetCompleteQueryPrefix(result);
bool inclusive = (lastTerm.Operator == Operator.LessThanOrEqual || lastTerm.Operator == Operator.GreaterThan);
bool reverse = (lastTerm.Operator == Operator.GreaterThan || lastTerm.Operator == Operator.GreaterThanOrEqual);
// Recommend the top ten values in the column with the prefix typed so far
DataBlockResult distribution = singleTable.Query(new DistributionQuery(singleColumn.Name, completeQuery, inclusive));
if (distribution.Total == 0 || distribution.Details.Succeeded == false)
{
return;
}
int countSoFar;
if (reverse)
{
countSoFar = (int)distribution.Values[distribution.Values.RowCount - 1, 1];
for (int i = distribution.Values.RowCount - 2; i >= 0; --i)
{
string value = distribution.Values[i, 0].ToString();
double frequency = (double)countSoFar / (double)(distribution.Total);
int countForRange = (int)distribution.Values[i, 1];
if ((distribution.Values.RowCount == 2 || (int)distribution.Values[i + 1, 1] > 0) && value.StartsWith(guidance.Value, StringComparison.OrdinalIgnoreCase))
{
suggestions.Add(new IntelliSenseItem(QueryTokenCategory.Value, QueryParser.WrapValue(distribution.Values[i, 0]), countSoFar, distribution.Total));
}
countSoFar += countForRange;
}
}
else
{
countSoFar = 0;
for (int i = 0; i < distribution.Values.RowCount - 1; ++i)
{
string value = distribution.Values[i, 0].ToString();
int countForRange = (int)distribution.Values[i, 1];
countSoFar += countForRange;
double frequency = (double)countSoFar / (double)(distribution.Total);
if ((distribution.Values.RowCount == 2 || countForRange > 0) && value.StartsWith(guidance.Value, StringComparison.OrdinalIgnoreCase))
{
suggestions.Add(new IntelliSenseItem(QueryTokenCategory.Value, QueryParser.WrapValue(distribution.Values[i, 0]), countSoFar, distribution.Total));
}
}
}
}