HappenLee commented on code in PR #12492: URL: https://github.com/apache/doris/pull/12492#discussion_r970358855
########## be/src/vec/runtime/vparquet_writer.cpp: ########## @@ -0,0 +1,646 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +#include "vec/runtime/vparquet_writer.h" + +#include <arrow/array.h> +#include <arrow/status.h> +#include <time.h> + +#include "io/file_writer.h" +#include "util/mysql_global.h" +#include "util/types.h" +#include "vec/columns/column_complex.h" +#include "vec/columns/column_nullable.h" +#include "vec/columns/column_string.h" +#include "vec/columns/column_vector.h" +#include "vec/data_types/data_type_decimal.h" +#include "vec/data_types/data_type_nullable.h" +#include "vec/exprs/vexpr.h" +#include "vec/functions/function_helpers.h" + +namespace doris::vectorized { + +VParquetWriterWrapper::VParquetWriterWrapper(doris::FileWriter* file_writer, + const std::vector<VExprContext*>& output_vexpr_ctxs, + const std::map<std::string, std::string>& properties, + const std::vector<std::vector<std::string>>& schema, + bool output_object_data) + : _output_vexpr_ctxs(output_vexpr_ctxs), + _str_schema(schema), + _cur_written_rows(0), + _rg_writer(nullptr), + _output_object_data(output_object_data) { + _outstream = std::shared_ptr<ParquetOutputStream>(new ParquetOutputStream(file_writer)); + parse_properties(properties); +} + +void VParquetWriterWrapper::parse_properties( + const std::map<std::string, std::string>& propertie_map) { + parquet::WriterProperties::Builder builder; + for (auto it = propertie_map.begin(); it != propertie_map.end(); it++) { + std::string property_name = it->first; + std::string property_value = it->second; + if (property_name == "compression") { + // UNCOMPRESSED, SNAPPY, GZIP, BROTLI, ZSTD, LZ4, LZO, BZ2 + if (property_value == "snappy") { + builder.compression(parquet::Compression::SNAPPY); + } else if (property_value == "gzip") { + builder.compression(parquet::Compression::GZIP); + } else if (property_value == "brotli") { + builder.compression(parquet::Compression::BROTLI); + } else if (property_value == "zstd") { + builder.compression(parquet::Compression::ZSTD); + } else if (property_value == "lz4") { + builder.compression(parquet::Compression::LZ4); + } else if (property_value == "lzo") { + builder.compression(parquet::Compression::LZO); + } else if (property_value == "bz2") { + builder.compression(parquet::Compression::BZ2); + } else { + builder.compression(parquet::Compression::UNCOMPRESSED); + } + } else if (property_name == "disable_dictionary") { + if (property_value == "true") { + builder.enable_dictionary(); + } else { + builder.disable_dictionary(); + } + } else if (property_name == "version") { + if (property_value == "v1") { + builder.version(parquet::ParquetVersion::PARQUET_1_0); + } else { + builder.version(parquet::ParquetVersion::PARQUET_2_LATEST); + } + } + } + _properties = builder.build(); +} + +Status VParquetWriterWrapper::parse_schema(const std::vector<std::vector<std::string>>& schema) { + parquet::schema::NodeVector fields; + for (auto column = schema.begin(); column != schema.end(); column++) { + std::string repetition_type = (*column)[0]; + parquet::Repetition::type parquet_repetition_type = parquet::Repetition::REQUIRED; + if (repetition_type.find("required") != std::string::npos) { + parquet_repetition_type = parquet::Repetition::REQUIRED; + } else if (repetition_type.find("repeated") != std::string::npos) { + parquet_repetition_type = parquet::Repetition::REPEATED; + } else if (repetition_type.find("optional") != std::string::npos) { + parquet_repetition_type = parquet::Repetition::OPTIONAL; + } else { + parquet_repetition_type = parquet::Repetition::UNDEFINED; + } + + std::string data_type = (*column)[1]; + parquet::Type::type parquet_data_type = parquet::Type::BYTE_ARRAY; + if (data_type == "boolean") { + parquet_data_type = parquet::Type::BOOLEAN; + } else if (data_type.find("int32") != std::string::npos) { + parquet_data_type = parquet::Type::INT32; + } else if (data_type.find("int64") != std::string::npos) { + parquet_data_type = parquet::Type::INT64; + } else if (data_type.find("int96") != std::string::npos) { + parquet_data_type = parquet::Type::INT96; + } else if (data_type.find("float") != std::string::npos) { + parquet_data_type = parquet::Type::FLOAT; + } else if (data_type.find("double") != std::string::npos) { + parquet_data_type = parquet::Type::DOUBLE; + } else if (data_type.find("byte_array") != std::string::npos) { + parquet_data_type = parquet::Type::BYTE_ARRAY; + } else if (data_type.find("fixed_len_byte_array") != std::string::npos) { + parquet_data_type = parquet::Type::FIXED_LEN_BYTE_ARRAY; + } else { + parquet_data_type = parquet::Type::UNDEFINED; + } + + std::string column_name = (*column)[2]; + fields.push_back(parquet::schema::PrimitiveNode::Make(column_name, parquet_repetition_type, + parquet::LogicalType::None(), + parquet_data_type)); + _schema = std::static_pointer_cast<parquet::schema::GroupNode>( + parquet::schema::GroupNode::Make("schema", parquet::Repetition::REQUIRED, fields)); + } + return Status::OK(); +} + +Status VParquetWriterWrapper::init() { + RETURN_IF_ERROR(parse_schema(_str_schema)); + RETURN_IF_ERROR(init_parquet_writer()); + RETURN_IF_ERROR(validate_schema()); + return Status::OK(); +} + +Status VParquetWriterWrapper::validate_schema() { + for (size_t i = 0; i < _output_vexpr_ctxs.size(); i++) { + switch (_output_vexpr_ctxs[i]->root()->type().type) { + case TYPE_BOOLEAN: { + if (_str_schema[i][1] != "boolean") { + return Status::InvalidArgument( + "project field type is boolean, " + "but the definition type of column {} is {}", + _str_schema[i][2], _str_schema[i][1]); + } + break; + } + case TYPE_TINYINT: + case TYPE_SMALLINT: + case TYPE_INT: { + if (_str_schema[i][1] != "int32") { + return Status::InvalidArgument( + "project field type is {}, should use int32," + " but the definition type of column {} is {}", + _output_vexpr_ctxs[i]->root()->type().debug_string(), _str_schema[i][2], + _str_schema[i][1]); + } + break; + } + case TYPE_LARGEINT: { + return Status::InvalidArgument("do not support large int type."); + } + case TYPE_FLOAT: { + if (_str_schema[i][1] != "float") { + return Status::InvalidArgument( + "project field type is float, " + "but the definition type of column {} is {}", + _str_schema[i][2], _str_schema[i][1]); + } + break; + } + case TYPE_DOUBLE: { + if (_str_schema[i][1] != "double") { + return Status::InvalidArgument( + "project field type is double, " + "but the definition type of column {} is {}", + _str_schema[i][2], _str_schema[i][1]); + } + break; + } + case TYPE_BIGINT: + case TYPE_DATETIME: + case TYPE_DATE: + case TYPE_DATEV2: + case TYPE_DATETIMEV2: { + if (_str_schema[i][1] != "int64") { + return Status::InvalidArgument( + "project field type is {}, should use int64, " + "but the definition type of column {} is {}", + _output_vexpr_ctxs[i]->root()->type().debug_string(), _str_schema[i][2], + _str_schema[i][1]); + } + break; + } + case TYPE_HLL: + case TYPE_OBJECT: { + if (!_output_object_data) { + return Status::InvalidArgument( + "Invalid expression type: {}", + _output_vexpr_ctxs[i]->root()->type().debug_string()); + } + [[fallthrough]]; + } + case TYPE_CHAR: + case TYPE_VARCHAR: + case TYPE_STRING: + case TYPE_DECIMALV2: + case TYPE_DECIMAL32: + case TYPE_DECIMAL64: + case TYPE_DECIMAL128: { + if (_str_schema[i][1] != "byte_array") { + return Status::InvalidArgument( + "project field type is {}, should use byte_array, " + "but the definition type of column {} is {}", + _output_vexpr_ctxs[i]->root()->type().debug_string(), _str_schema[i][2], + _str_schema[i][1]); + } + break; + } + default: { + return Status::InvalidArgument("Invalid expression type: {}", + _output_vexpr_ctxs[i]->root()->type().debug_string()); + } + } + } + return Status::OK(); +} + +#define RETURN_WRONG_TYPE \ + return Status::InvalidArgument("Invalid column type: {}", raw_column->get_name()); + +#define DISPATCH_PARQUET_NUMERIC_WRITER(WRITER, COLUMN_TYPE, NATIVE_TYPE) \ + parquet::RowGroupWriter* rgWriter = get_rg_writer(); \ + parquet::WRITER* col_writer = static_cast<parquet::WRITER*>(rgWriter->column(i)); \ + __int128 default_value = 0; \ + if (null_map != nullptr) { \ + for (size_t row_id = 0; row_id < sz; row_id++) { \ + col_writer->WriteBatch(1, nullptr, nullptr, \ + (*null_map)[row_id] != 0 \ + ? reinterpret_cast<const NATIVE_TYPE*>(&default_value) \ + : reinterpret_cast<const NATIVE_TYPE*>( \ + assert_cast<const COLUMN_TYPE&>(*col) \ + .get_data_at(row_id) \ + .data)); \ + } \ + } else if (const auto* not_nullable_column = check_and_get_column<const COLUMN_TYPE>(col)) { \ + col_writer->WriteBatch( \ + sz, nullptr, nullptr, \ + reinterpret_cast<const NATIVE_TYPE*>(not_nullable_column->get_data().data())); \ + } else { \ + RETURN_WRONG_TYPE \ + } + +#define DISPATCH_PARQUET_DECIMAL_WRITER(DECIMAL_TYPE) \ + parquet::RowGroupWriter* rgWriter = get_rg_writer(); \ + parquet::ByteArrayWriter* col_writer = \ + static_cast<parquet::ByteArrayWriter*>(rgWriter->column(i)); \ + parquet::ByteArray value; \ + auto decimal_type = \ + check_and_get_data_type<DataTypeDecimal<DECIMAL_TYPE>>(remove_nullable(type).get()); \ + DCHECK(decimal_type); \ + if (null_map != nullptr) { \ + for (size_t row_id = 0; row_id < sz; row_id++) { \ + if ((*null_map)[row_id] != 0) { \ + col_writer->WriteBatch(1, nullptr, nullptr, &value); \ + } else { \ + auto s = decimal_type->to_string(*col, row_id); \ + value.ptr = reinterpret_cast<const uint8_t*>(s.data()); \ + value.len = s.size(); \ + col_writer->WriteBatch(1, nullptr, nullptr, &value); \ + } \ + } \ + } else { \ + for (size_t row_id = 0; row_id < sz; row_id++) { \ + auto s = decimal_type->to_string(*col, row_id); \ + value.ptr = reinterpret_cast<const uint8_t*>(s.data()); \ + value.len = s.size(); \ + col_writer->WriteBatch(1, nullptr, nullptr, &value); \ + } \ + } + +Status VParquetWriterWrapper::write(const Block& block) { + if (block.rows() == 0) { + return Status::OK(); + } + size_t sz = block.rows(); + try { + for (size_t i = 0; i < block.columns(); i++) { + auto& raw_column = block.get_by_position(i).column; + const auto col = raw_column->is_nullable() + ? reinterpret_cast<const ColumnNullable*>( + block.get_by_position(i).column.get()) + ->get_nested_column_ptr() + .get() + : block.get_by_position(i).column.get(); + auto null_map = + raw_column->is_nullable() && reinterpret_cast<const ColumnNullable*>( + block.get_by_position(i).column.get()) + ->get_null_map_column_ptr() + ->has_null() + ? reinterpret_cast<const ColumnNullable*>( + block.get_by_position(i).column.get()) + ->get_null_map_column_ptr() + : nullptr; + auto& type = block.get_by_position(i).type; + switch (_output_vexpr_ctxs[i]->root()->type().type) { + case TYPE_BOOLEAN: { + DISPATCH_PARQUET_NUMERIC_WRITER(BoolWriter, ColumnVector<UInt8>, bool) + break; + } + case TYPE_BIGINT: { + DISPATCH_PARQUET_NUMERIC_WRITER(Int64Writer, ColumnVector<Int64>, int64_t) + break; + } + case TYPE_LARGEINT: { + return Status::InvalidArgument("do not support large int type."); + } + case TYPE_FLOAT: { + DISPATCH_PARQUET_NUMERIC_WRITER(FloatWriter, ColumnVector<Float32>, float_t) + break; + } + case TYPE_DOUBLE: { + DISPATCH_PARQUET_NUMERIC_WRITER(DoubleWriter, ColumnVector<Float64>, double_t) + break; + } + case TYPE_TINYINT: + case TYPE_SMALLINT: + case TYPE_INT: { + parquet::RowGroupWriter* rgWriter = get_rg_writer(); + parquet::Int32Writer* col_writer = + static_cast<parquet::Int32Writer*>(rgWriter->column(i)); + int32_t default_int32 = 0; + if (null_map != nullptr) { + if (const auto* nested_column = + check_and_get_column<const ColumnVector<Int32>>(col)) { + for (size_t row_id = 0; row_id < sz; row_id++) { + col_writer->WriteBatch( + 1, nullptr, nullptr, + (*null_map)[row_id] != 0 + ? &default_int32 + : reinterpret_cast<const int32_t*>( + nested_column->get_data_at(row_id).data)); + } + } else if (const auto* int16_column = + check_and_get_column<const ColumnVector<Int16>>(col)) { + for (size_t row_id = 0; row_id < sz; row_id++) { + const int32_t tmp = int16_column->get_data()[row_id]; + col_writer->WriteBatch( + 1, nullptr, nullptr, + (*null_map)[row_id] != 0 + ? &default_int32 + : reinterpret_cast<const int32_t*>(&tmp)); + } + } else if (const auto* int8_column = + check_and_get_column<const ColumnVector<Int8>>(col)) { + for (size_t row_id = 0; row_id < sz; row_id++) { + const int32_t tmp = int8_column->get_data()[row_id]; + col_writer->WriteBatch( + 1, nullptr, nullptr, + (*null_map)[row_id] != 0 + ? &default_int32 + : reinterpret_cast<const int32_t*>(&tmp)); + } + } else { + RETURN_WRONG_TYPE + } + } else if (const auto* not_nullable_column = + check_and_get_column<const ColumnVector<Int32>>(col)) { + col_writer->WriteBatch(sz, nullptr, nullptr, + reinterpret_cast<const int32_t*>( + not_nullable_column->get_data().data())); + } else if (const auto& int16_column = + check_and_get_column<const ColumnVector<Int16>>(col)) { + for (size_t row_id = 0; row_id < sz; row_id++) { + const int32_t tmp = int16_column->get_data()[row_id]; + col_writer->WriteBatch(1, nullptr, nullptr, + reinterpret_cast<const int32_t*>(&tmp)); + } + } else if (const auto& int8_column = + check_and_get_column<const ColumnVector<Int8>>(col)) { + for (size_t row_id = 0; row_id < sz; row_id++) { + const int32_t tmp = int8_column->get_data()[row_id]; + col_writer->WriteBatch(1, nullptr, nullptr, + reinterpret_cast<const int32_t*>(&tmp)); + } + } else { + RETURN_WRONG_TYPE + } + break; + } + case TYPE_DATETIME: + case TYPE_DATE: { + parquet::RowGroupWriter* rgWriter = get_rg_writer(); + parquet::Int64Writer* col_writer = + static_cast<parquet::Int64Writer*>(rgWriter->column(i)); + int64_t default_int64 = 0; + if (null_map != nullptr) { + for (size_t row_id = 0; row_id < sz; row_id++) { + if ((*null_map)[row_id] != 0) { + col_writer->WriteBatch(1, nullptr, nullptr, &default_int64); + } else { + const auto tmp = binary_cast<Int64, VecDateTimeValue>( + assert_cast<const ColumnVector<Int64>&>(*col) + .get_data()[row_id]) + .to_olap_datetime(); + col_writer->WriteBatch(1, nullptr, nullptr, + reinterpret_cast<const int64_t*>(&tmp)); + } + } + } else if (const auto* not_nullable_column = + check_and_get_column<const ColumnVector<Int64>>(col)) { + std::vector<uint64_t> res(sz); + for (size_t row_id = 0; row_id < sz; row_id++) { + res[row_id] = binary_cast<Int64, VecDateTimeValue>( + not_nullable_column->get_data()[row_id]) + .to_olap_datetime(); + } + col_writer->WriteBatch(sz, nullptr, nullptr, + reinterpret_cast<const int64_t*>(res.data())); + } else { + RETURN_WRONG_TYPE + } + break; + } + case TYPE_DATEV2: { + parquet::RowGroupWriter* rgWriter = get_rg_writer(); + parquet::Int64Writer* col_writer = + static_cast<parquet::Int64Writer*>(rgWriter->column(i)); + int64_t default_int64 = 0; + if (null_map != nullptr) { + for (size_t row_id = 0; row_id < sz; row_id++) { + if ((*null_map)[row_id] != 0) { + col_writer->WriteBatch(1, nullptr, nullptr, &default_int64); + } else { + uint64_t tmp = binary_cast<UInt32, DateV2Value<DateV2ValueType>>( + assert_cast<const ColumnVector<UInt32>&>(*col) + .get_data()[row_id]) + .to_olap_datetime(); + col_writer->WriteBatch(1, nullptr, nullptr, + reinterpret_cast<const int64_t*>(&tmp)); + } + } + } else if (const auto* not_nullable_column = + check_and_get_column<const ColumnVector<UInt32>>(col)) { + std::vector<uint64_t> res(sz); + for (size_t row_id = 0; row_id < sz; row_id++) { + res[row_id] = binary_cast<UInt32, DateV2Value<DateV2ValueType>>( + not_nullable_column->get_data()[row_id]) + .to_olap_datetime(); + } + col_writer->WriteBatch(sz, nullptr, nullptr, + reinterpret_cast<const int64_t*>(res.data())); + } else { + RETURN_WRONG_TYPE + } + break; + } + case TYPE_DATETIMEV2: { + parquet::RowGroupWriter* rgWriter = get_rg_writer(); + parquet::Int64Writer* col_writer = + static_cast<parquet::Int64Writer*>(rgWriter->column(i)); + int64_t default_int64 = 0; + if (null_map != nullptr) { + for (size_t row_id = 0; row_id < sz; row_id++) { + if ((*null_map)[row_id] != 0) { + col_writer->WriteBatch(1, nullptr, nullptr, &default_int64); + } else { + uint64_t tmp = binary_cast<UInt64, DateV2Value<DateTimeV2ValueType>>( + assert_cast<const ColumnVector<UInt64>&>(*col) + .get_data()[row_id]) + .to_olap_datetime(); + col_writer->WriteBatch(1, nullptr, nullptr, + reinterpret_cast<const int64_t*>(&tmp)); + } + } + } else if (const auto* not_nullable_column = + check_and_get_column<const ColumnVector<UInt64>>(col)) { + std::vector<uint64_t> res(sz); + for (size_t row_id = 0; row_id < sz; row_id++) { + res[row_id] = binary_cast<UInt64, DateV2Value<DateTimeV2ValueType>>( + not_nullable_column->get_data()[row_id]) + .to_olap_datetime(); + } + col_writer->WriteBatch(sz, nullptr, nullptr, + reinterpret_cast<const int64_t*>(res.data())); + } else { + RETURN_WRONG_TYPE + } + break; + } + case TYPE_OBJECT: + case TYPE_HLL: + case TYPE_CHAR: + case TYPE_VARCHAR: + case TYPE_STRING: { + parquet::RowGroupWriter* rgWriter = get_rg_writer(); + parquet::ByteArrayWriter* col_writer = + static_cast<parquet::ByteArrayWriter*>(rgWriter->column(i)); + if (null_map != nullptr) { + for (size_t row_id = 0; row_id < sz; row_id++) { + if ((*null_map)[row_id] != 0) { + parquet::ByteArray value; + col_writer->WriteBatch(1, nullptr, nullptr, &value); + } else { + const auto& tmp = col->get_data_at(row_id); + parquet::ByteArray value; + value.ptr = reinterpret_cast<const uint8_t*>(tmp.data); + value.len = tmp.size; + col_writer->WriteBatch(1, nullptr, nullptr, &value); + } + } + } else if (const auto* not_nullable_column = + check_and_get_column<const ColumnString>(col)) { Review Comment: hll seems should cast to `columnHLL` ? -- This is an automated message from the Apache Git Service. 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