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Header in every stream: development [#CLICKHOUSE-2]
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@ -164,8 +164,7 @@ public:
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{
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const auto cond_arg = arguments[i].get();
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if (!typeid_cast<const DataTypeUInt8 *>(cond_arg))
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throw Exception{
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"Illegal type " + cond_arg->getName() + " of argument " + toString(i + 1) +
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throw Exception{"Illegal type " + cond_arg->getName() + " of argument " + toString(i + 1) +
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" of aggregate function " + derived().getName() + ", must be UInt8",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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}
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@ -40,9 +40,6 @@ struct UInt128
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bool inline operator> (const UInt128 rhs) const { return tuple() > rhs.tuple(); }
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bool inline operator>= (const UInt128 rhs) const { return tuple() >= rhs.tuple(); }
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/** Types who are stored at the moment in the database have no more than 64bits and can be handle
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* inside an unique UInt64.
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*/
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template <typename T> bool inline operator== (const T rhs) const { return *this == UInt128(rhs); }
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template <typename T> bool inline operator!= (const T rhs) const { return *this != UInt128(rhs); }
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template <typename T> bool inline operator>= (const T rhs) const { return *this >= UInt128(rhs); }
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@ -29,6 +29,7 @@ STRONG_TYPEDEF(TupleBackend, Tuple); /// Array and Tuple are different types wit
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/** 32 is enough. Round number is used for alignment and for better arithmetic inside std::vector.
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* NOTE: Actually, sizeof(std::string) is 32 when using libc++, so Field is 40 bytes.
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*/
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#define DBMS_MIN_FIELD_SIZE 32
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@ -53,6 +53,13 @@ namespace ErrorCodes
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extern const int CANNOT_PARSE_UUID;
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extern const int TOO_LARGE_STRING_SIZE;
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extern const int TOO_LESS_ARGUMENTS_FOR_FUNCTION;
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extern const int LOGICAL_ERROR;
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extern const int TYPE_MISMATCH;
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extern const int CANNOT_CONVERT_TYPE;
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extern const int ILLEGAL_COLUMN;
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int NOT_IMPLEMENTED;
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}
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@ -508,9 +515,6 @@ struct ConvertImplGenericFromString
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{
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auto res = data_type_to.createColumn();
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if (!size)
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return;
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IColumn & column_to = *res;
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column_to.reserve(size);
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@ -1272,9 +1276,7 @@ private:
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static WrapperType createFixedStringWrapper(const DataTypePtr & from_type, const size_t N)
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{
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if (!from_type->isStringOrFixedString())
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throw Exception{
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"CAST AS FixedString is only implemented for types String and FixedString",
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ErrorCodes::NOT_IMPLEMENTED};
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throw Exception{"CAST AS FixedString is only implemented for types String and FixedString", ErrorCodes::NOT_IMPLEMENTED};
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return [N] (Block & block, const ColumnNumbers & arguments, const size_t result)
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{
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@ -1309,9 +1311,7 @@ private:
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/// both from_type and to_type should be nullptr now is array types had same dimensions
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if ((from_type == nullptr) != (to_type == nullptr))
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throw Exception{
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"CAST AS Array can only be performed between same-dimensional array types or from String",
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ErrorCodes::TYPE_MISMATCH};
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throw Exception{"CAST AS Array can only be performed between same-dimensional array types or from String", ErrorCodes::TYPE_MISMATCH};
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/// Prepare nested type conversion
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const auto nested_function = prepare(from_nested_type, to_nested_type.get());
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@ -1337,9 +1337,7 @@ private:
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block.getByPosition(result).column = ColumnArray::create(nested_block.getByPosition(1).column, col_array->getOffsetsPtr());
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}
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else
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throw Exception{
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"Illegal column " + array_arg.column->getName() + " for function CAST AS Array",
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ErrorCodes::LOGICAL_ERROR};
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throw Exception{"Illegal column " + array_arg.column->getName() + " for function CAST AS Array", ErrorCodes::LOGICAL_ERROR};
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};
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}
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@ -1356,16 +1354,12 @@ private:
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const auto from_type = checkAndGetDataType<DataTypeTuple>(from_type_untyped.get());
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if (!from_type)
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throw Exception{
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"CAST AS Tuple can only be performed between tuple types or from String.\nLeft type: " + from_type_untyped->getName() +
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", right type: " + to_type->getName(),
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ErrorCodes::TYPE_MISMATCH};
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throw Exception{"CAST AS Tuple can only be performed between tuple types or from String.\nLeft type: " + from_type_untyped->getName() +
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", right type: " + to_type->getName(), ErrorCodes::TYPE_MISMATCH};
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if (from_type->getElements().size() != to_type->getElements().size())
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throw Exception{
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"CAST AS Tuple can only be performed between tuple types with the same number of elements or from String.\n"
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"Left type: " + from_type->getName() + ", right type: " + to_type->getName(),
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ErrorCodes::TYPE_MISMATCH};
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throw Exception{"CAST AS Tuple can only be performed between tuple types with the same number of elements or from String.\n"
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"Left type: " + from_type->getName() + ", right type: " + to_type->getName(), ErrorCodes::TYPE_MISMATCH};
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const auto & from_element_types = from_type->getElements();
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const auto & to_element_types = to_type->getElements();
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@ -1441,10 +1435,8 @@ private:
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};
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}
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else
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throw Exception{
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"Conversion from " + from_type->getName() + " to " + to_type->getName() +
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" is not supported",
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ErrorCodes::CANNOT_CONVERT_TYPE};
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throw Exception{"Conversion from " + from_type->getName() + " to " + to_type->getName() +
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" is not supported", ErrorCodes::CANNOT_CONVERT_TYPE};
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}
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template <typename EnumTypeFrom, typename EnumTypeTo>
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@ -1467,10 +1459,8 @@ private:
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const auto & old_value = name_value.second;
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const auto & new_value = to_type->getValue(name_value.first);
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if (old_value != new_value)
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throw Exception{
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"Enum conversion changes value for element '" + name_value.first +
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"' from " + toString(old_value) + " to " + toString(new_value),
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ErrorCodes::CANNOT_CONVERT_TYPE};
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throw Exception{"Enum conversion changes value for element '" + name_value.first +
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"' from " + toString(old_value) + " to " + toString(new_value), ErrorCodes::CANNOT_CONVERT_TYPE};
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}
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};
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@ -1499,8 +1489,7 @@ private:
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col_with_type_and_name.column = std::move(res);
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}
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else
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throw Exception{
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"Unexpected column " + first_col->getName() + " as first argument of function " + function_name,
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throw Exception{"Unexpected column " + first_col->getName() + " as first argument of function " + function_name,
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ErrorCodes::LOGICAL_ERROR};
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};
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}
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@ -1540,8 +1529,7 @@ private:
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/// Check that the requested conversion is allowed.
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if (nullable_conversion.source_is_nullable && !nullable_conversion.result_is_nullable)
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throw Exception{"Cannot convert data from a nullable type to a non-nullable type",
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ErrorCodes::CANNOT_CONVERT_TYPE};
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throw Exception{"Cannot convert data from a nullable type to a non-nullable type", ErrorCodes::CANNOT_CONVERT_TYPE};
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if (from_type->onlyNull())
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{
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@ -1671,9 +1659,7 @@ private:
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/// It's possible to use ConvertImplGenericFromString to convert from String to AggregateFunction,
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/// but it is disabled because deserializing aggregate functions state might be unsafe.
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throw Exception{
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"Conversion from " + from_type->getName() + " to " + to_type->getName() + " is not supported",
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ErrorCodes::CANNOT_CONVERT_TYPE};
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throw Exception{"Conversion from " + from_type->getName() + " to " + to_type->getName() + " is not supported", ErrorCodes::CANNOT_CONVERT_TYPE};
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}
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};
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@ -1709,8 +1695,7 @@ protected:
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{
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const auto type_col = checkAndGetColumnConst<ColumnString>(arguments.back().column.get());
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if (!type_col)
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throw Exception("Second argument to " + getName() + " must be a constant string describing type",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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throw Exception("Second argument to " + getName() + " must be a constant string describing type", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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return DataTypeFactory::instance().get(type_col->getValue<String>());
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}
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@ -8,6 +8,7 @@
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5 0 4 10 5
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26 25 50 975 26
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26 230 255 6305 26
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0 0 0 0 0
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13 243 255 3237 13
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1
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256 0 255 32640 256
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