/* * Copyright 2004-2014 H2 Group. Multiple-Licensed under the MPL 2.0, * and the EPL 1.0 (http://h2database.com/html/license.html). * Initial Developer: H2 Group */ package org.h2.expression; import org.h2.engine.Database; import org.h2.message.DbException; import org.h2.util.ValueHashMap; import org.h2.value.DataType; import org.h2.value.Value; import org.h2.value.ValueBoolean; import org.h2.value.ValueDouble; import org.h2.value.ValueLong; import org.h2.value.ValueNull; /** * Data stored while calculating an aggregate. */ class AggregateDataDefault extends AggregateData { private final int aggregateType; private long count; private ValueHashMap<AggregateDataDefault> distinctValues; private Value value; private double m2, mean; /** * @param aggregateType the type of the aggregate operation */ AggregateDataDefault(int aggregateType) { this.aggregateType = aggregateType; } @Override void add(Database database, int dataType, boolean distinct, Value v) { if (v == ValueNull.INSTANCE) { return; } count++; if (distinct) { if (distinctValues == null) { distinctValues = ValueHashMap.newInstance(); } distinctValues.put(v, this); return; } switch (aggregateType) { case Aggregate.SUM: if (value == null) { value = v.convertTo(dataType); } else { v = v.convertTo(value.getType()); value = value.add(v); } break; case Aggregate.AVG: if (value == null) { value = v.convertTo(DataType.getAddProofType(dataType)); } else { v = v.convertTo(value.getType()); value = value.add(v); } break; case Aggregate.MIN: if (value == null || database.compare(v, value) < 0) { value = v; } break; case Aggregate.MAX: if (value == null || database.compare(v, value) > 0) { value = v; } break; case Aggregate.STDDEV_POP: case Aggregate.STDDEV_SAMP: case Aggregate.VAR_POP: case Aggregate.VAR_SAMP: { // Using Welford's method, see also // http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance // http://www.johndcook.com/standard_deviation.html double x = v.getDouble(); if (count == 1) { mean = x; m2 = 0; } else { double delta = x - mean; mean += delta / count; m2 += delta * (x - mean); } break; } case Aggregate.BOOL_AND: v = v.convertTo(Value.BOOLEAN); if (value == null) { value = v; } else { value = ValueBoolean.get(value.getBoolean().booleanValue() && v.getBoolean().booleanValue()); } break; case Aggregate.BOOL_OR: v = v.convertTo(Value.BOOLEAN); if (value == null) { value = v; } else { value = ValueBoolean.get(value.getBoolean().booleanValue() || v.getBoolean().booleanValue()); } break; case Aggregate.BIT_AND: if (value == null) { value = v.convertTo(dataType); } else { value = ValueLong.get(value.getLong() & v.getLong()).convertTo(dataType); } break; case Aggregate.BIT_OR: if (value == null) { value = v.convertTo(dataType); } else { value = ValueLong.get(value.getLong() | v.getLong()).convertTo(dataType); } break; default: DbException.throwInternalError("type=" + aggregateType); } } @Override Value getValue(Database database, int dataType, boolean distinct) { if (distinct) { count = 0; groupDistinct(database, dataType); } Value v = null; switch (aggregateType) { case Aggregate.SUM: case Aggregate.MIN: case Aggregate.MAX: case Aggregate.BIT_OR: case Aggregate.BIT_AND: case Aggregate.BOOL_OR: case Aggregate.BOOL_AND: v = value; break; case Aggregate.AVG: if (value != null) { v = divide(value, count); } break; case Aggregate.STDDEV_POP: { if (count < 1) { return ValueNull.INSTANCE; } v = ValueDouble.get(Math.sqrt(m2 / count)); break; } case Aggregate.STDDEV_SAMP: { if (count < 2) { return ValueNull.INSTANCE; } v = ValueDouble.get(Math.sqrt(m2 / (count - 1))); break; } case Aggregate.VAR_POP: { if (count < 1) { return ValueNull.INSTANCE; } v = ValueDouble.get(m2 / count); break; } case Aggregate.VAR_SAMP: { if (count < 2) { return ValueNull.INSTANCE; } v = ValueDouble.get(m2 / (count - 1)); break; } default: DbException.throwInternalError("type=" + aggregateType); } return v == null ? ValueNull.INSTANCE : v.convertTo(dataType); } private static Value divide(Value a, long by) { if (by == 0) { return ValueNull.INSTANCE; } int type = Value.getHigherOrder(a.getType(), Value.LONG); Value b = ValueLong.get(by).convertTo(type); a = a.convertTo(type).divide(b); return a; } private void groupDistinct(Database database, int dataType) { if (distinctValues == null) { return; } count = 0; for (Value v : distinctValues.keys()) { add(database, dataType, false, v); } } }