1. Simplify code logic and improve abstraction 2. Fix the mem leak of raw pointer Co-authored-by: lihaopeng <lihaopeng@baidu.com>
575 lines
25 KiB
C++
575 lines
25 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "exec/arrow/parquet_reader.h"
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#include <arrow/array.h>
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#include <arrow/status.h>
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#include <arrow/type_fwd.h>
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#include <time.h>
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#include <algorithm>
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#include <mutex>
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#include <thread>
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#include "common/logging.h"
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#include "common/status.h"
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#include "gen_cpp/PaloBrokerService_types.h"
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#include "gen_cpp/TPaloBrokerService.h"
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#include "io/file_reader.h"
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#include "runtime/broker_mgr.h"
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#include "runtime/client_cache.h"
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#include "runtime/descriptors.h"
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#include "runtime/mem_pool.h"
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#include "runtime/string_value.h"
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#include "runtime/tuple.h"
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namespace doris {
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// Broker
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ParquetReaderWrap::ParquetReaderWrap(FileReader* file_reader, int64_t batch_size,
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int32_t num_of_columns_from_file)
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: ArrowReaderWrap(file_reader, batch_size, num_of_columns_from_file),
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_rows_of_group(0),
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_current_line_of_group(0),
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_current_line_of_batch(0) {}
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Status ParquetReaderWrap::init_reader(const std::vector<SlotDescriptor*>& tuple_slot_descs,
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const std::string& timezone) {
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try {
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parquet::ArrowReaderProperties arrow_reader_properties =
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parquet::default_arrow_reader_properties();
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arrow_reader_properties.set_pre_buffer(true);
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arrow_reader_properties.set_use_threads(true);
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// Open Parquet file reader
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auto reader_builder = parquet::arrow::FileReaderBuilder();
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reader_builder.properties(arrow_reader_properties);
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auto st = reader_builder.Open(_arrow_file);
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if (!st.ok()) {
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LOG(WARNING) << "failed to create parquet file reader, errmsg=" << st.ToString();
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return Status::InternalError("Failed to create file reader");
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}
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st = reader_builder.Build(&_reader);
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if (!st.ok()) {
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LOG(WARNING) << "failed to create parquet file reader, errmsg=" << st.ToString();
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return Status::InternalError("Failed to create file reader");
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}
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_file_metadata = _reader->parquet_reader()->metadata();
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// initial members
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_total_groups = _file_metadata->num_row_groups();
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if (_total_groups == 0) {
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return Status::EndOfFile("Empty Parquet File");
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}
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_rows_of_group = _file_metadata->RowGroup(0)->num_rows();
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// map
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auto* schemaDescriptor = _file_metadata->schema();
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for (int i = 0; i < _file_metadata->num_columns(); ++i) {
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// Get the Column Reader for the boolean column
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if (schemaDescriptor->Column(i)->max_definition_level() > 1) {
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_map_column.emplace(schemaDescriptor->Column(i)->path()->ToDotVector()[0], i);
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} else {
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_map_column.emplace(schemaDescriptor->Column(i)->name(), i);
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}
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}
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_timezone = timezone;
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RETURN_IF_ERROR(column_indices(tuple_slot_descs));
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std::thread thread(&ParquetReaderWrap::prefetch_batch, this);
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thread.detach();
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// read batch
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RETURN_IF_ERROR(read_next_batch());
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_current_line_of_batch = 0;
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//save column type
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std::shared_ptr<arrow::Schema> field_schema = _batch->schema();
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for (int i = 0; i < _include_column_ids.size(); i++) {
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std::shared_ptr<arrow::Field> field = field_schema->field(i);
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if (!field) {
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LOG(WARNING) << "Get field schema failed. Column order:" << i;
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return Status::InternalError(_status.ToString());
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}
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_parquet_column_type.emplace_back(field->type()->id());
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}
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return Status::OK();
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} catch (parquet::ParquetException& e) {
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std::stringstream str_error;
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str_error << "Init parquet reader fail. " << e.what();
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LOG(WARNING) << str_error.str();
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return Status::InternalError(str_error.str());
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}
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}
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void ParquetReaderWrap::close() {
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_closed = true;
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_queue_writer_cond.notify_one();
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ArrowReaderWrap::close();
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}
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Status ParquetReaderWrap::size(int64_t* size) {
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arrow::Result<int64_t> result = _arrow_file->GetSize();
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if (result.ok()) {
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*size = result.ValueOrDie();
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return Status::OK();
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} else {
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return Status::InternalError(result.status().ToString());
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}
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}
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inline void ParquetReaderWrap::fill_slot(Tuple* tuple, SlotDescriptor* slot_desc, MemPool* mem_pool,
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const uint8_t* value, int32_t len) {
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tuple->set_not_null(slot_desc->null_indicator_offset());
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void* slot = tuple->get_slot(slot_desc->tuple_offset());
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StringValue* str_slot = reinterpret_cast<StringValue*>(slot);
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str_slot->ptr = reinterpret_cast<char*>(mem_pool->allocate(len));
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memcpy(str_slot->ptr, value, len);
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str_slot->len = len;
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return;
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}
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inline Status ParquetReaderWrap::set_field_null(Tuple* tuple, const SlotDescriptor* slot_desc) {
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if (!slot_desc->is_nullable()) {
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std::stringstream str_error;
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str_error << "The field name(" << slot_desc->col_name()
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<< ") is not allowed null, but Parquet field is null.";
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LOG(WARNING) << str_error.str();
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return Status::RuntimeError(str_error.str());
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}
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tuple->set_null(slot_desc->null_indicator_offset());
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return Status::OK();
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}
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Status ParquetReaderWrap::read_record_batch(bool* eof) {
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if (_current_line_of_group >= _rows_of_group) { // read next row group
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VLOG_DEBUG << "read_record_batch, current group id:" << _current_group
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<< " current line of group:" << _current_line_of_group
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<< " is larger than rows group size:" << _rows_of_group
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<< ". start to read next row group";
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_current_group++;
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if (_current_group >= _total_groups) { // read completed.
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_include_column_ids.clear();
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*eof = true;
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return Status::OK();
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}
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_current_line_of_group = 0;
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_rows_of_group = _file_metadata->RowGroup(_current_group)
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->num_rows(); //get rows of the current row group
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// read batch
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RETURN_IF_ERROR(read_next_batch());
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_current_line_of_batch = 0;
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} else if (_current_line_of_batch >= _batch->num_rows()) {
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VLOG_DEBUG << "read_record_batch, current group id:" << _current_group
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<< " current line of batch:" << _current_line_of_batch
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<< " is larger than batch size:" << _batch->num_rows()
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<< ". start to read next batch";
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// read batch
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RETURN_IF_ERROR(read_next_batch());
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_current_line_of_batch = 0;
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}
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return Status::OK();
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}
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Status ParquetReaderWrap::next_batch(std::shared_ptr<arrow::RecordBatch>* batch, bool* eof) {
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if (_batch->num_rows() == 0 || _current_line_of_batch != 0 || _current_line_of_group != 0) {
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RETURN_IF_ERROR(read_record_batch(eof));
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}
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*batch = get_batch();
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return Status::OK();
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}
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const std::shared_ptr<arrow::RecordBatch>& ParquetReaderWrap::get_batch() {
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_current_line_of_batch += _batch->num_rows();
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_current_line_of_group += _batch->num_rows();
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return _batch;
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}
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Status ParquetReaderWrap::handle_timestamp(const std::shared_ptr<arrow::TimestampArray>& ts_array,
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uint8_t* buf, int32_t* wbytes) {
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const auto type = std::static_pointer_cast<arrow::TimestampType>(ts_array->type());
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// Doris only supports seconds
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int64_t timestamp = 0;
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switch (type->unit()) {
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case arrow::TimeUnit::type::NANO: { // INT96
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timestamp = ts_array->Value(_current_line_of_batch) / 1000000000L; // convert to Second
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break;
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}
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case arrow::TimeUnit::type::SECOND: {
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timestamp = ts_array->Value(_current_line_of_batch);
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break;
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}
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case arrow::TimeUnit::type::MILLI: {
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timestamp = ts_array->Value(_current_line_of_batch) / 1000; // convert to Second
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break;
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}
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case arrow::TimeUnit::type::MICRO: {
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timestamp = ts_array->Value(_current_line_of_batch) / 1000000; // convert to Second
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break;
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}
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default:
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return Status::InternalError("Invalid Time Type.");
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}
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DateTimeValue dtv;
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if (!dtv.from_unixtime(timestamp, _timezone)) {
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std::stringstream str_error;
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str_error << "Parse timestamp (" + std::to_string(timestamp) + ") error";
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LOG(WARNING) << str_error.str();
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return Status::InternalError(str_error.str());
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}
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char* buf_end = (char*)buf;
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buf_end = dtv.to_string((char*)buf_end);
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*wbytes = buf_end - (char*)buf - 1;
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return Status::OK();
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}
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Status ParquetReaderWrap::read(Tuple* tuple, const std::vector<SlotDescriptor*>& tuple_slot_descs,
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MemPool* mem_pool, bool* eof) {
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uint8_t tmp_buf[128] = {0};
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int32_t wbytes = 0;
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const uint8_t* value = nullptr;
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int column_index = 0;
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try {
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size_t slots = _include_column_ids.size();
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for (size_t i = 0; i < slots; ++i) {
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auto slot_desc = tuple_slot_descs[i];
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column_index = i; // column index in batch record
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switch (_parquet_column_type[i]) {
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case arrow::Type::type::STRING: {
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auto str_array =
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std::static_pointer_cast<arrow::StringArray>(_batch->column(column_index));
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if (str_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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value = str_array->GetValue(_current_line_of_batch, &wbytes);
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fill_slot(tuple, slot_desc, mem_pool, value, wbytes);
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}
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break;
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}
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case arrow::Type::type::INT32: {
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auto int32_array =
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std::static_pointer_cast<arrow::Int32Array>(_batch->column(column_index));
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if (int32_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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int32_t value = int32_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%d", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::INT64: {
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auto int64_array =
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std::static_pointer_cast<arrow::Int64Array>(_batch->column(column_index));
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if (int64_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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int64_t value = int64_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%ld", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::UINT32: {
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auto uint32_array =
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std::static_pointer_cast<arrow::UInt32Array>(_batch->column(column_index));
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if (uint32_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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uint32_t value = uint32_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%u", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::UINT64: {
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auto uint64_array =
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std::static_pointer_cast<arrow::UInt64Array>(_batch->column(column_index));
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if (uint64_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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uint64_t value = uint64_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%lu", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::BINARY: {
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auto str_array =
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std::static_pointer_cast<arrow::BinaryArray>(_batch->column(column_index));
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if (str_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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value = str_array->GetValue(_current_line_of_batch, &wbytes);
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fill_slot(tuple, slot_desc, mem_pool, value, wbytes);
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}
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break;
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}
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case arrow::Type::type::FIXED_SIZE_BINARY: {
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auto fixed_array = std::static_pointer_cast<arrow::FixedSizeBinaryArray>(
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_batch->column(column_index));
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if (fixed_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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std::string value = fixed_array->GetString(_current_line_of_batch);
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fill_slot(tuple, slot_desc, mem_pool, (uint8_t*)value.c_str(), value.length());
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}
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break;
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}
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case arrow::Type::type::BOOL: {
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auto boolean_array =
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std::static_pointer_cast<arrow::BooleanArray>(_batch->column(column_index));
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if (boolean_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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bool value = boolean_array->Value(_current_line_of_batch);
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if (value) {
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fill_slot(tuple, slot_desc, mem_pool, (uint8_t*)"true", 4);
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} else {
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fill_slot(tuple, slot_desc, mem_pool, (uint8_t*)"false", 5);
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}
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}
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break;
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}
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case arrow::Type::type::UINT8: {
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auto uint8_array =
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std::static_pointer_cast<arrow::UInt8Array>(_batch->column(column_index));
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if (uint8_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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uint8_t value = uint8_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%d", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::INT8: {
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auto int8_array =
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std::static_pointer_cast<arrow::Int8Array>(_batch->column(column_index));
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if (int8_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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int8_t value = int8_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%d", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::UINT16: {
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auto uint16_array =
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std::static_pointer_cast<arrow::UInt16Array>(_batch->column(column_index));
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if (uint16_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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uint16_t value = uint16_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%d", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::INT16: {
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auto int16_array =
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std::static_pointer_cast<arrow::Int16Array>(_batch->column(column_index));
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if (int16_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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int16_t value = int16_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%d", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::HALF_FLOAT: {
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auto half_float_array = std::static_pointer_cast<arrow::HalfFloatArray>(
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_batch->column(column_index));
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if (half_float_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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float value = half_float_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%f", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::FLOAT: {
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auto float_array =
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std::static_pointer_cast<arrow::FloatArray>(_batch->column(column_index));
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if (float_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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float value = float_array->Value(_current_line_of_batch);
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// Because the decimal type currently only supports (27, 9).
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// Therefore, we use %.9f to give priority to the progress of the decimal type.
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// Cannot use %f directly, this will cause 4000.9 to be converted to 4000.8999
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wbytes = sprintf((char*)tmp_buf, "%.9f", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
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}
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case arrow::Type::type::DOUBLE: {
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auto double_array =
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std::static_pointer_cast<arrow::DoubleArray>(_batch->column(column_index));
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if (double_array->IsNull(_current_line_of_batch)) {
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RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
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} else {
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double value = double_array->Value(_current_line_of_batch);
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wbytes = sprintf((char*)tmp_buf, "%.9f", value);
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fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
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}
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break;
|
|
}
|
|
case arrow::Type::type::TIMESTAMP: {
|
|
auto ts_array = std::static_pointer_cast<arrow::TimestampArray>(
|
|
_batch->column(column_index));
|
|
if (ts_array->IsNull(_current_line_of_batch)) {
|
|
RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
|
|
} else {
|
|
RETURN_IF_ERROR(handle_timestamp(ts_array, tmp_buf,
|
|
&wbytes)); // convert timestamp to string time
|
|
fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
|
|
}
|
|
break;
|
|
}
|
|
case arrow::Type::type::DECIMAL: {
|
|
auto decimal_array =
|
|
std::static_pointer_cast<arrow::DecimalArray>(_batch->column(column_index));
|
|
if (decimal_array->IsNull(_current_line_of_batch)) {
|
|
RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
|
|
} else {
|
|
std::string value = decimal_array->FormatValue(_current_line_of_batch);
|
|
fill_slot(tuple, slot_desc, mem_pool, (const uint8_t*)value.c_str(),
|
|
value.length());
|
|
}
|
|
break;
|
|
}
|
|
case arrow::Type::type::DATE32: {
|
|
auto ts_array =
|
|
std::static_pointer_cast<arrow::Date32Array>(_batch->column(column_index));
|
|
if (ts_array->IsNull(_current_line_of_batch)) {
|
|
RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
|
|
} else {
|
|
time_t timestamp = (time_t)((int64_t)ts_array->Value(_current_line_of_batch) *
|
|
24 * 60 * 60);
|
|
struct tm local;
|
|
localtime_r(×tamp, &local);
|
|
char* to = reinterpret_cast<char*>(&tmp_buf);
|
|
wbytes = (uint32_t)strftime(to, 64, "%Y-%m-%d", &local);
|
|
fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
|
|
}
|
|
break;
|
|
}
|
|
case arrow::Type::type::DATE64: {
|
|
auto ts_array =
|
|
std::static_pointer_cast<arrow::Date64Array>(_batch->column(column_index));
|
|
if (ts_array->IsNull(_current_line_of_batch)) {
|
|
RETURN_IF_ERROR(set_field_null(tuple, slot_desc));
|
|
} else {
|
|
// convert milliseconds to seconds
|
|
time_t timestamp =
|
|
(time_t)((int64_t)ts_array->Value(_current_line_of_batch) / 1000);
|
|
struct tm local;
|
|
localtime_r(×tamp, &local);
|
|
char* to = reinterpret_cast<char*>(&tmp_buf);
|
|
wbytes = (uint32_t)strftime(to, 64, "%Y-%m-%d %H:%M:%S", &local);
|
|
fill_slot(tuple, slot_desc, mem_pool, tmp_buf, wbytes);
|
|
}
|
|
break;
|
|
}
|
|
default: {
|
|
// other type not support.
|
|
std::stringstream str_error;
|
|
str_error << "The field name(" << slot_desc->col_name() << "), type("
|
|
<< _parquet_column_type[i]
|
|
<< ") not support. RowGroup: " << _current_group
|
|
<< ", Row: " << _current_line_of_group
|
|
<< ", ColumnIndex:" << column_index;
|
|
LOG(WARNING) << str_error.str();
|
|
return Status::InternalError(str_error.str());
|
|
}
|
|
}
|
|
}
|
|
} catch (parquet::ParquetException& e) {
|
|
std::stringstream str_error;
|
|
str_error << e.what() << " RowGroup:" << _current_group
|
|
<< ", Row:" << _current_line_of_group << ", ColumnIndex " << column_index;
|
|
LOG(WARNING) << str_error.str();
|
|
return Status::InternalError(str_error.str());
|
|
}
|
|
|
|
// update data value
|
|
++_current_line_of_group;
|
|
++_current_line_of_batch;
|
|
return read_record_batch(eof);
|
|
}
|
|
|
|
void ParquetReaderWrap::prefetch_batch() {
|
|
auto insert_batch = [this](const auto& batch) {
|
|
std::unique_lock<std::mutex> lock(_mtx);
|
|
while (!_closed && _queue.size() == _max_queue_size) {
|
|
_queue_writer_cond.wait_for(lock, std::chrono::seconds(1));
|
|
}
|
|
if (UNLIKELY(_closed)) {
|
|
return;
|
|
}
|
|
_queue.push_back(batch);
|
|
_queue_reader_cond.notify_one();
|
|
};
|
|
int current_group = 0;
|
|
while (true) {
|
|
if (_closed || current_group >= _total_groups) {
|
|
return;
|
|
}
|
|
_status = _reader->GetRecordBatchReader({current_group}, _include_column_ids, &_rb_reader);
|
|
if (!_status.ok()) {
|
|
_closed = true;
|
|
return;
|
|
}
|
|
arrow::RecordBatchVector batches;
|
|
_status = _rb_reader->ReadAll(&batches);
|
|
if (!_status.ok()) {
|
|
_closed = true;
|
|
return;
|
|
}
|
|
std::for_each(batches.begin(), batches.end(), insert_batch);
|
|
current_group++;
|
|
}
|
|
}
|
|
|
|
Status ParquetReaderWrap::read_next_batch() {
|
|
std::unique_lock<std::mutex> lock(_mtx);
|
|
while (!_closed && _queue.empty()) {
|
|
_queue_reader_cond.wait_for(lock, std::chrono::seconds(1));
|
|
}
|
|
|
|
if (UNLIKELY(_closed)) {
|
|
return Status::InternalError(_status.message());
|
|
}
|
|
|
|
_batch = _queue.front();
|
|
_queue.pop_front();
|
|
_queue_writer_cond.notify_one();
|
|
return Status::OK();
|
|
}
|
|
|
|
} // namespace doris
|