@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return (int) (model.primitive2() * 3 + model.lengthFor(columnType)); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return (int) (model.primitive2() * 4 + model.lengthFor(columnType)); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive2() * 3 + model.lengthFor(columnType); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive2() * 4 + model.lengthFor(columnType); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return (int) (model.primitive1() * 2 + model.primitive2() * 4 + model.lengthFor(columnType) + ((numDV == null) ? lengthFor(model, null) : numDV.lengthFor(model))); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive1() * 2 + model.primitive2() * 4 + model.lengthFor(columnType) + ((numDV == null) ? NumDistinctValueEstimator.lengthFor(model, null) : numDV.lengthFor(model)); } };
@Override public int estimate() { return JavaDataModel.get().lengthFor(histogram); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive2() * 4 + model.lengthFor(columnType); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive2() * 3 + model.lengthFor(columnType); } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.lengthFor(histogram) + model.array() + JavaDataModel.PRIMITIVES2 * quantiles.length; } };
@Override public int estimate() { JavaDataModel model = JavaDataModel.get(); return model.primitive2() * 4 + model.lengthFor(average); }