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@ -12,6 +12,7 @@
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#include <DataTypes/DataTypeMap.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypeDate32.h>
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#include <DataTypes/DataTypeDate.h>
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#include <DataTypes/NestedUtils.h>
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#include <common/DateLUTImpl.h>
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#include <common/types.h>
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@ -34,9 +35,7 @@
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#define FOR_ARROW_NUMERIC_TYPES(M) \
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M(arrow::Type::UINT8, DB::UInt8) \
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M(arrow::Type::INT8, DB::Int8) \
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M(arrow::Type::UINT16, DB::UInt16) \
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M(arrow::Type::INT16, DB::Int16) \
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M(arrow::Type::UINT32, DB::UInt32) \
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M(arrow::Type::INT32, DB::Int32) \
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M(arrow::Type::UINT64, DB::UInt64) \
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M(arrow::Type::INT64, DB::Int64) \
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@ -156,6 +155,30 @@ static ColumnWithTypeAndName readColumnWithBooleanData(std::shared_ptr<arrow::Ch
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return {std::move(internal_column), std::move(internal_type), column_name};
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}
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static ColumnWithTypeAndName readColumnWithDateData(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
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{
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auto internal_type = std::make_shared<DataTypeDate>();
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auto internal_column = internal_type->createColumn();
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PaddedPODArray<UInt16> & column_data = assert_cast<ColumnVector<UInt16> &>(*internal_column).getData();
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column_data.reserve(arrow_column->length());
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for (size_t chunk_i = 0, num_chunks = static_cast<size_t>(arrow_column->num_chunks()); chunk_i < num_chunks; ++chunk_i)
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{
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arrow::UInt16Array & chunk = dynamic_cast<arrow::UInt16Array &>(*(arrow_column->chunk(chunk_i)));
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for (size_t value_i = 0, length = static_cast<size_t>(chunk.length()); value_i < length; ++value_i)
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{
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UInt16 days_num = static_cast<UInt16>(chunk.Value(value_i));
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if (days_num > DATE_LUT_MAX_DAY_NUM)
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throw Exception{ErrorCodes::VALUE_IS_OUT_OF_RANGE_OF_DATA_TYPE,
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"Input value {} of a column \"{}\" is greater than max allowed Date value, which is {}", days_num, column_name, DATE_LUT_MAX_DAY_NUM};
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column_data.emplace_back(days_num);
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}
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}
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return {std::move(internal_column), std::move(internal_type), column_name};
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}
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static ColumnWithTypeAndName readColumnWithDate32Data(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
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{
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auto internal_type = std::make_shared<DataTypeDate32>();
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@ -183,7 +206,7 @@ static ColumnWithTypeAndName readColumnWithDate32Data(std::shared_ptr<arrow::Chu
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/// Arrow stores Parquet::DATETIME in Int64, while ClickHouse stores DateTime in UInt32. Therefore, it should be checked before saving
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static ColumnWithTypeAndName readColumnWithDate64Data(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
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{
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auto internal_type = std::make_shared<DataTypeUInt32>();
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auto internal_type = std::make_shared<DataTypeDateTime>();
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auto internal_column = internal_type->createColumn();
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auto & column_data = assert_cast<ColumnVector<UInt32> &>(*internal_column).getData();
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column_data.reserve(arrow_column->length());
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@ -200,6 +223,22 @@ static ColumnWithTypeAndName readColumnWithDate64Data(std::shared_ptr<arrow::Chu
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return {std::move(internal_column), std::move(internal_type), column_name};
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}
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static ColumnWithTypeAndName readColumnWithDateTimeData(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
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{
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auto internal_type = std::make_shared<DataTypeDateTime>();
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auto internal_column = internal_type->createColumn();
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auto & column_data = assert_cast<ColumnVector<UInt32> &>(*internal_column).getData();
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column_data.reserve(arrow_column->length());
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for (size_t chunk_i = 0, num_chunks = static_cast<size_t>(arrow_column->num_chunks()); chunk_i < num_chunks; ++chunk_i)
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{
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auto & chunk = dynamic_cast<arrow::UInt32Array &>(*(arrow_column->chunk(chunk_i)));
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for (size_t value_i = 0, length = static_cast<size_t>(chunk.length()); value_i < length; ++value_i)
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column_data.emplace_back(chunk.Value(value_i));
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}
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return {std::move(internal_column), std::move(internal_type), column_name};
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}
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static ColumnWithTypeAndName readColumnWithTimestampData(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
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{
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auto internal_type = std::make_shared<DataTypeUInt32>();
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@ -353,6 +392,10 @@ static ColumnWithTypeAndName readColumnFromArrowColumn(
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return readColumnWithDate32Data(arrow_column, column_name);
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case arrow::Type::DATE64:
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return readColumnWithDate64Data(arrow_column, column_name);
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case arrow::Type::UINT16:
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return readColumnWithDateData(arrow_column, column_name);
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case arrow::Type::UINT32:
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return readColumnWithDateTimeData(arrow_column, column_name);
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case arrow::Type::TIMESTAMP:
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return readColumnWithTimestampData(arrow_column, column_name);
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#if defined(ARCADIA_BUILD)
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@ -72,6 +72,7 @@ namespace DB
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{"Date", arrow::uint16()}, /// uint16 is used instead of date32, because Apache Arrow cannot correctly serialize Date32Array.
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{"DateTime", arrow::uint32()}, /// uint32 is used instead of date64, because we don't need milliseconds.
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{"Date32", arrow::date32()},
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{"String", arrow::binary()},
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{"FixedString", arrow::binary()},
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@ -335,7 +336,6 @@ namespace DB
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size_t end)
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{
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const PaddedPODArray<UInt16> & internal_data = assert_cast<const ColumnVector<UInt16> &>(*write_column).getData();
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//arrow::Date32Builder date_builder;
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arrow::UInt16Builder & builder = assert_cast<arrow::UInt16Builder &>(*array_builder);
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arrow::Status status;
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@ -344,7 +344,6 @@ namespace DB
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if (null_bytemap && (*null_bytemap)[value_i])
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status = builder.AppendNull();
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else
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/// Implicitly converts UInt16 to Int32
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status = builder.Append(internal_data[value_i]);
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checkStatus(status, write_column->getName(), format_name);
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}
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@ -373,6 +372,28 @@ namespace DB
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}
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}
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static void fillArrowArrayWithDate32ColumnData(
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ColumnPtr write_column,
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const PaddedPODArray<UInt8> * null_bytemap,
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const String & format_name,
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arrow::ArrayBuilder* array_builder,
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size_t start,
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size_t end)
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{
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const PaddedPODArray<Int32> & internal_data = assert_cast<const ColumnVector<Int32> &>(*write_column).getData();
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arrow::Date32Builder & builder = assert_cast<arrow::Date32Builder &>(*array_builder);
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arrow::Status status;
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for (size_t value_i = start; value_i < end; ++value_i)
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{
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if (null_bytemap && (*null_bytemap)[value_i])
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status = builder.AppendNull();
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else
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status = builder.Append(internal_data[value_i]);
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checkStatus(status, write_column->getName(), format_name);
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}
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}
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static void fillArrowArray(
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const String & column_name,
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ColumnPtr & column,
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@ -411,6 +432,10 @@ namespace DB
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{
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fillArrowArrayWithDateTimeColumnData(column, null_bytemap, format_name, array_builder, start, end);
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}
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else if (isDate32(column_type))
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{
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fillArrowArrayWithDate32ColumnData(column, null_bytemap, format_name, array_builder, start, end);
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}
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else if (isArray(column_type))
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{
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fillArrowArrayWithArrayColumnData<arrow::ListBuilder>(column_name, column, column_type, null_bytemap, array_builder, format_name, start, end, dictionary_values);
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