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https://github.com/aykhans/AzSuicideDataVisualization.git
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65 lines
2.3 KiB
C++
65 lines
2.3 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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#pragma once
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#include <cstdint>
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#include <memory>
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#include <utility>
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#include "arrow/result.h"
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#include "arrow/type_fwd.h"
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#include "arrow/util/type_fwd.h"
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#include "arrow/util/visibility.h"
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namespace arrow {
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namespace csv {
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class BlockParser;
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struct ConvertOptions;
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class ARROW_EXPORT ColumnDecoder {
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public:
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virtual ~ColumnDecoder() = default;
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/// Spawn a task that will try to convert and insert the given CSV block
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virtual Future<std::shared_ptr<Array>> Decode(
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const std::shared_ptr<BlockParser>& parser) = 0;
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/// Construct a strictly-typed ColumnDecoder.
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static Result<std::shared_ptr<ColumnDecoder>> Make(MemoryPool* pool,
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std::shared_ptr<DataType> type,
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int32_t col_index,
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const ConvertOptions& options);
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/// Construct a type-inferring ColumnDecoder.
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/// Inference will run only on the first block, the type will be frozen afterwards.
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static Result<std::shared_ptr<ColumnDecoder>> Make(MemoryPool* pool, int32_t col_index,
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const ConvertOptions& options);
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/// Construct a ColumnDecoder for a column of nulls
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/// (i.e. not present in the CSV file).
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static Result<std::shared_ptr<ColumnDecoder>> MakeNull(MemoryPool* pool,
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std::shared_ptr<DataType> type);
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protected:
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ColumnDecoder() = default;
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};
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} // namespace csv
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} // namespace arrow
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