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Small refactors in ORC output format
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c629e2af50
commit
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@ -12,6 +12,7 @@
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#include <Columns/ColumnString.h>
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#include <Columns/ColumnTuple.h>
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#include <Columns/ColumnMap.h>
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#include <Columns/ColumnsCommon.h>
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#include <DataTypes/DataTypeDateTime.h>
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#include <DataTypes/DataTypeDateTime64.h>
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@ -203,25 +204,15 @@ template <typename NumberType, typename NumberVectorBatch, typename ConvertFunc>
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void ORCBlockOutputFormat::writeNumbers(
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orc::ColumnVectorBatch & orc_column,
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const IColumn & column,
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const PaddedPODArray<UInt8> * null_bytemap,
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const PaddedPODArray<UInt8> * /*null_bytemap*/,
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ConvertFunc convert)
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{
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NumberVectorBatch & number_orc_column = dynamic_cast<NumberVectorBatch &>(orc_column);
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const auto & number_column = assert_cast<const ColumnVector<NumberType> &>(column);
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number_orc_column.resize(number_column.size());
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number_orc_column.data.resize(number_column.size());
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for (size_t i = 0; i != number_column.size(); ++i)
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{
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if (null_bytemap && (*null_bytemap)[i])
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{
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number_orc_column.notNull[i] = 0;
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continue;
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}
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number_orc_column.notNull[i] = 1;
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number_orc_column.data[i] = convert(number_column.getElement(i));
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}
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number_orc_column.numElements = number_column.size();
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}
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template <typename Decimal, typename DecimalVectorBatch, typename ConvertFunc>
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@ -229,7 +220,7 @@ void ORCBlockOutputFormat::writeDecimals(
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orc::ColumnVectorBatch & orc_column,
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const IColumn & column,
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DataTypePtr & type,
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const PaddedPODArray<UInt8> * null_bytemap,
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const PaddedPODArray<UInt8> * /*null_bytemap*/,
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ConvertFunc convert)
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{
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DecimalVectorBatch & decimal_orc_column = dynamic_cast<DecimalVectorBatch &>(orc_column);
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@ -238,71 +229,49 @@ void ORCBlockOutputFormat::writeDecimals(
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decimal_orc_column.precision = decimal_type->getPrecision();
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decimal_orc_column.scale = decimal_type->getScale();
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decimal_orc_column.resize(decimal_column.size());
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for (size_t i = 0; i != decimal_column.size(); ++i)
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{
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if (null_bytemap && (*null_bytemap)[i])
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{
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decimal_orc_column.notNull[i] = 0;
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continue;
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}
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decimal_orc_column.notNull[i] = 1;
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decimal_orc_column.values.resize(decimal_column.size());
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for (size_t i = 0; i != decimal_column.size(); ++i)
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decimal_orc_column.values[i] = convert(decimal_column.getElement(i).value);
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}
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decimal_orc_column.numElements = decimal_column.size();
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}
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template <typename ColumnType>
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void ORCBlockOutputFormat::writeStrings(
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orc::ColumnVectorBatch & orc_column,
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const IColumn & column,
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const PaddedPODArray<UInt8> * null_bytemap)
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const PaddedPODArray<UInt8> * /*null_bytemap*/)
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{
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orc::StringVectorBatch & string_orc_column = dynamic_cast<orc::StringVectorBatch &>(orc_column);
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const auto & string_column = assert_cast<const ColumnType &>(column);
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string_orc_column.resize(string_column.size());
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string_orc_column.data.resize(string_column.size());
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string_orc_column.length.resize(string_column.size());
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for (size_t i = 0; i != string_column.size(); ++i)
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{
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if (null_bytemap && (*null_bytemap)[i])
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{
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string_orc_column.notNull[i] = 0;
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continue;
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}
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string_orc_column.notNull[i] = 1;
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const std::string_view & string = string_column.getDataAt(i).toView();
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string_orc_column.data[i] = const_cast<char *>(string.data());
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string_orc_column.length[i] = string.size();
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}
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string_orc_column.numElements = string_column.size();
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}
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template <typename ColumnType, typename GetSecondsFunc, typename GetNanosecondsFunc>
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void ORCBlockOutputFormat::writeDateTimes(
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orc::ColumnVectorBatch & orc_column,
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const IColumn & column,
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const PaddedPODArray<UInt8> * null_bytemap,
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const PaddedPODArray<UInt8> * /*null_bytemap*/,
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GetSecondsFunc get_seconds,
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GetNanosecondsFunc get_nanoseconds)
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{
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orc::TimestampVectorBatch & timestamp_orc_column = dynamic_cast<orc::TimestampVectorBatch &>(orc_column);
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const auto & timestamp_column = assert_cast<const ColumnType &>(column);
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timestamp_orc_column.resize(timestamp_column.size());
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timestamp_orc_column.data.resize(timestamp_column.size());
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timestamp_orc_column.nanoseconds.resize(timestamp_column.size());
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for (size_t i = 0; i != timestamp_column.size(); ++i)
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{
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if (null_bytemap && (*null_bytemap)[i])
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{
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timestamp_orc_column.notNull[i] = 0;
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continue;
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}
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timestamp_orc_column.notNull[i] = 1;
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timestamp_orc_column.data[i] = static_cast<int64_t>(get_seconds(timestamp_column.getElement(i)));
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timestamp_orc_column.nanoseconds[i] = static_cast<int64_t>(get_nanoseconds(timestamp_column.getElement(i)));
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}
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timestamp_orc_column.numElements = timestamp_column.size();
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}
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void ORCBlockOutputFormat::writeColumn(
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@ -311,9 +280,19 @@ void ORCBlockOutputFormat::writeColumn(
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DataTypePtr & type,
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const PaddedPODArray<UInt8> * null_bytemap)
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{
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orc_column.notNull.resize(column.size());
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orc_column.numElements = column.size();
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if (null_bytemap)
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orc_column.hasNulls = true;
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{
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orc_column.hasNulls = !memoryIsZero(null_bytemap->data(), 0, null_bytemap->size());
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if (orc_column.hasNulls)
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{
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orc_column.notNull.resize(null_bytemap->size());
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for (size_t i = 0; i < null_bytemap->size(); ++i)
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orc_column.notNull[i] = !(*null_bytemap)[i];
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}
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}
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else
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orc_column.hasNulls = false;
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/// ORC doesn't have unsigned types, so cast everything to signed and sign-extend to Int64 to
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/// make the ORC library calculate min and max correctly.
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@ -471,6 +450,7 @@ void ORCBlockOutputFormat::writeColumn(
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}
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case TypeIndex::Nullable:
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{
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chassert(!null_bytemap);
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const auto & nullable_column = assert_cast<const ColumnNullable &>(column);
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const PaddedPODArray<UInt8> & new_null_bytemap = assert_cast<const ColumnVector<UInt8> &>(*nullable_column.getNullMapColumnPtr()).getData();
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auto nested_type = removeNullable(type);
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@ -485,19 +465,15 @@ void ORCBlockOutputFormat::writeColumn(
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const ColumnArray::Offsets & offsets = list_column.getOffsets();
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size_t column_size = list_column.size();
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list_orc_column.resize(column_size);
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list_orc_column.offsets.resize(column_size + 1);
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/// The length of list i in ListVectorBatch is offsets[i+1] - offsets[i].
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list_orc_column.offsets[0] = 0;
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for (size_t i = 0; i != column_size; ++i)
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{
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list_orc_column.offsets[i + 1] = offsets[i];
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list_orc_column.notNull[i] = 1;
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}
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orc::ColumnVectorBatch & nested_orc_column = *list_orc_column.elements;
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writeColumn(nested_orc_column, list_column.getData(), nested_type, null_bytemap);
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list_orc_column.numElements = column_size;
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writeColumn(nested_orc_column, list_column.getData(), nested_type, nullptr);
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break;
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}
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case TypeIndex::Tuple:
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@ -505,10 +481,8 @@ void ORCBlockOutputFormat::writeColumn(
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orc::StructVectorBatch & struct_orc_column = dynamic_cast<orc::StructVectorBatch &>(orc_column);
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const auto & tuple_column = assert_cast<const ColumnTuple &>(column);
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auto nested_types = assert_cast<const DataTypeTuple *>(type.get())->getElements();
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for (size_t i = 0; i != tuple_column.size(); ++i)
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struct_orc_column.notNull[i] = 1;
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for (size_t i = 0; i != tuple_column.tupleSize(); ++i)
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writeColumn(*struct_orc_column.fields[i], tuple_column.getColumn(i), nested_types[i], null_bytemap);
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writeColumn(*struct_orc_column.fields[i], tuple_column.getColumn(i), nested_types[i], nullptr);
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break;
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}
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case TypeIndex::Map:
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@ -520,25 +494,21 @@ void ORCBlockOutputFormat::writeColumn(
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size_t column_size = list_column.size();
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map_orc_column.resize(list_column.size());
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map_orc_column.offsets.resize(column_size + 1);
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/// The length of list i in ListVectorBatch is offsets[i+1] - offsets[i].
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map_orc_column.offsets[0] = 0;
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for (size_t i = 0; i != column_size; ++i)
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{
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map_orc_column.offsets[i + 1] = offsets[i];
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map_orc_column.notNull[i] = 1;
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}
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const auto nested_columns = assert_cast<const ColumnTuple *>(list_column.getDataPtr().get())->getColumns();
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orc::ColumnVectorBatch & keys_orc_column = *map_orc_column.keys;
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auto key_type = map_type.getKeyType();
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writeColumn(keys_orc_column, *nested_columns[0], key_type, null_bytemap);
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writeColumn(keys_orc_column, *nested_columns[0], key_type, nullptr);
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orc::ColumnVectorBatch & values_orc_column = *map_orc_column.elements;
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auto value_type = map_type.getValueType();
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writeColumn(values_orc_column, *nested_columns[1], value_type, null_bytemap);
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map_orc_column.numElements = column_size;
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writeColumn(values_orc_column, *nested_columns[1], value_type, nullptr);
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break;
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}
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default:
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@ -575,10 +545,7 @@ void ORCBlockOutputFormat::consume(Chunk chunk)
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size_t columns_num = chunk.getNumColumns();
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size_t rows_num = chunk.getNumRows();
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/// getMaxColumnSize is needed to write arrays.
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/// The size of the batch must be no less than total amount of array elements
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/// and no less than the number of rows (ORC writes a null bit for every row).
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std::unique_ptr<orc::ColumnVectorBatch> batch = writer->createRowBatch(getMaxColumnSize(chunk));
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std::unique_ptr<orc::ColumnVectorBatch> batch = writer->createRowBatch(chunk.getNumRows());
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orc::StructVectorBatch & root = dynamic_cast<orc::StructVectorBatch &>(*batch);
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auto columns = chunk.detachColumns();
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