/**
 * 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.
 */

#ifndef ORC_VECTOR_HH
#define ORC_VECTOR_HH

#include "Int128.hh"
#include "MemoryPool.hh"
#include "orc/orc-config.hh"

#include <cstdlib>
#include <cstring>
#include <list>
#include <memory>
#include <sstream>
#include <stdexcept>
#include <vector>

namespace orc {

  /**
   * The base class for each of the column vectors. This class handles
   * the generic attributes such as number of elements, capacity, and
   * notNull vector.
   * Note: If hasNull is false, the values in the notNull buffer are not required.
   * On the writer side, it does not read values from notNull buffer so users are
   * not expected to write notNull buffer if hasNull is false. On the reader side,
   * it does not set notNull buffer if hasNull is false, meaning that it is undefined
   * behavior to consume values from notNull buffer in this case by downstream users.
   */
  struct ColumnVectorBatch {
    ColumnVectorBatch(uint64_t capacity, MemoryPool& pool);
    virtual ~ColumnVectorBatch();

    // the number of slots available
    uint64_t capacity;
    // the number of current occupied slots
    uint64_t numElements;
    // an array of capacity length marking non-null values
    DataBuffer<char> notNull;
    // whether there are any null values
    bool hasNulls;
    // whether the vector batch is encoded
    bool isEncoded;

    // custom memory pool
    MemoryPool& memoryPool;

    /**
     * Generate a description of this vector as a string.
     */
    virtual std::string toString() const = 0;

    /**
     * Change the number of slots to at least the given capacity.
     * This function is not recursive into subtypes.
     */
    virtual void resize(uint64_t capacity);

    /**
     * Empties the vector from all its elements, recursively.
     * Do not alter the current capacity.
     */
    virtual void clear();

    /**
     * Heap memory used by the batch.
     */
    virtual uint64_t getMemoryUsage();

    /**
     * Check whether the batch length varies depending on data.
     */
    virtual bool hasVariableLength();

   private:
    ColumnVectorBatch(const ColumnVectorBatch&);
    ColumnVectorBatch& operator=(const ColumnVectorBatch&);
  };

  template <typename ValueType>
  struct IntegerVectorBatch : public ColumnVectorBatch {
    IntegerVectorBatch(uint64_t cap, MemoryPool& pool)
        : ColumnVectorBatch(cap, pool), data(pool, cap) {
      // PASS
    }

    ~IntegerVectorBatch() override = default;

    inline std::string toString() const override;

    void resize(uint64_t cap) override {
      if (capacity < cap) {
        ColumnVectorBatch::resize(cap);
        data.resize(cap);
      }
    }

    void clear() override {
      numElements = 0;
    }

    uint64_t getMemoryUsage() override {
      return ColumnVectorBatch::getMemoryUsage() +
             static_cast<uint64_t>(data.capacity() * sizeof(ValueType));
    }

    DataBuffer<ValueType> data;
  };

  using LongVectorBatch = IntegerVectorBatch<int64_t>;
  using IntVectorBatch = IntegerVectorBatch<int32_t>;
  using ShortVectorBatch = IntegerVectorBatch<int16_t>;
  using ByteVectorBatch = IntegerVectorBatch<int8_t>;

  template <>
  inline std::string LongVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Long vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  template <>
  inline std::string IntVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Int vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  template <>
  inline std::string ShortVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Short vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  template <>
  inline std::string ByteVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Byte vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  template <typename FloatType>
  struct FloatingVectorBatch : public ColumnVectorBatch {
    FloatingVectorBatch(uint64_t cap, MemoryPool& pool)
        : ColumnVectorBatch(cap, pool), data(pool, cap) {
      // PASS
    }

    ~FloatingVectorBatch() override = default;

    inline std::string toString() const override;

    void resize(uint64_t cap) override {
      if (capacity < cap) {
        ColumnVectorBatch::resize(cap);
        data.resize(cap);
      }
    }

    void clear() override {
      numElements = 0;
    }

    uint64_t getMemoryUsage() override {
      return ColumnVectorBatch::getMemoryUsage() +
             static_cast<uint64_t>(data.capacity() * sizeof(FloatType));
    }

    DataBuffer<FloatType> data;
  };

  using DoubleVectorBatch = FloatingVectorBatch<double>;
  using FloatVectorBatch = FloatingVectorBatch<float>;

  template <>
  inline std::string DoubleVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Double vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  template <>
  inline std::string FloatVectorBatch::toString() const {
    std::ostringstream buffer;
    buffer << "Float vector <" << numElements << " of " << capacity << ">";
    return buffer.str();
  }

  struct StringVectorBatch : public ColumnVectorBatch {
    StringVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~StringVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;

    // pointers to the start of each string
    DataBuffer<char*> data;
    // the length of each string
    DataBuffer<int64_t> length;
    // string blob
    DataBuffer<char> blob;
  };

  struct StringDictionary {
    StringDictionary(MemoryPool& pool);
    DataBuffer<char> dictionaryBlob;

    // Offset for each dictionary key entry.
    DataBuffer<int64_t> dictionaryOffset;

    void getValueByIndex(int64_t index, char*& valPtr, int64_t& length) {
      if (index < 0 || static_cast<uint64_t>(index) + 1 >= dictionaryOffset.size()) {
        throw std::out_of_range("index out of range.");
      }

      int64_t* offsetPtr = dictionaryOffset.data();

      valPtr = dictionaryBlob.data() + offsetPtr[index];
      length = offsetPtr[index + 1] - offsetPtr[index];
    }
  };

  /**
   * Include a index array with reference to corresponding dictionary.
   * User first obtain index from index array and retrieve string pointer
   * and length by calling getValueByIndex() from dictionary.
   */
  struct EncodedStringVectorBatch : public StringVectorBatch {
    EncodedStringVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~EncodedStringVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    std::shared_ptr<StringDictionary> dictionary;

    // index for dictionary entry
    DataBuffer<int64_t> index;
  };

  struct StructVectorBatch : public ColumnVectorBatch {
    StructVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~StructVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;
    bool hasVariableLength() override;

    std::vector<ColumnVectorBatch*> fields;
  };

  struct ListVectorBatch : public ColumnVectorBatch {
    ListVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~ListVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;
    bool hasVariableLength() override;

    /**
     * The offset of the first element of each list.
     * The length of list i is offsets[i+1] - offsets[i].
     */
    DataBuffer<int64_t> offsets;

    // the concatenated elements
    std::unique_ptr<ColumnVectorBatch> elements;
  };

  struct MapVectorBatch : public ColumnVectorBatch {
    MapVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~MapVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;
    bool hasVariableLength() override;

    /**
     * The offset of the first element of each map.
     * The size of map i is offsets[i+1] - offsets[i].
     */
    DataBuffer<int64_t> offsets;

    // the concatenated keys
    std::unique_ptr<ColumnVectorBatch> keys;
    // the concatenated elements
    std::unique_ptr<ColumnVectorBatch> elements;
  };

  struct UnionVectorBatch : public ColumnVectorBatch {
    UnionVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~UnionVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;
    bool hasVariableLength() override;

    /**
     * For each value, which element of children has the value.
     */
    DataBuffer<unsigned char> tags;

    /**
     * For each value, the index inside of the child ColumnVectorBatch.
     */
    DataBuffer<uint64_t> offsets;

    // the sub-columns
    std::vector<ColumnVectorBatch*> children;
  };

  struct Decimal {
    Decimal(const Int128& value, int32_t scale);
    explicit Decimal(const std::string& value);
    Decimal();

    std::string toString(bool trimTrailingZeros = false) const;
    Int128 value;
    int32_t scale;
  };

  struct Decimal64VectorBatch : public ColumnVectorBatch {
    Decimal64VectorBatch(uint64_t capacity, MemoryPool& pool);
    ~Decimal64VectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;

    // total number of digits
    int32_t precision;
    // the number of places after the decimal
    int32_t scale;

    // the numeric values
    DataBuffer<int64_t> values;

   protected:
    /**
     * Contains the scales that were read from the file. Should NOT be
     * used.
     */
    DataBuffer<int64_t> readScales;
    friend class Decimal64ColumnReader;
    friend class Decimal64ColumnWriter;
  };

  struct Decimal128VectorBatch : public ColumnVectorBatch {
    Decimal128VectorBatch(uint64_t capacity, MemoryPool& pool);
    ~Decimal128VectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;

    // total number of digits
    int32_t precision;
    // the number of places after the decimal
    int32_t scale;

    // the numeric values
    DataBuffer<Int128> values;

   protected:
    /**
     * Contains the scales that were read from the file. Should NOT be
     * used.
     */
    DataBuffer<int64_t> readScales;
    friend class Decimal128ColumnReader;
    friend class DecimalHive11ColumnReader;
    friend class Decimal128ColumnWriter;
  };

  /**
   * A column vector batch for storing timestamp values.
   * The timestamps are stored split into the time_t value (seconds since
   * 1 Jan 1970 00:00:00) and the nanoseconds within the time_t value.
   */
  struct TimestampVectorBatch : public ColumnVectorBatch {
    TimestampVectorBatch(uint64_t capacity, MemoryPool& pool);
    ~TimestampVectorBatch() override;
    std::string toString() const override;
    void resize(uint64_t capacity) override;
    void clear() override;
    uint64_t getMemoryUsage() override;

    // the number of seconds past 1 Jan 1970 00:00 UTC (aka time_t)
    // Note that we always assume data is in GMT timezone; therefore it is
    // user's responsibility to convert wall clock time in local timezone
    // to GMT.
    DataBuffer<int64_t> data;

    // the nanoseconds of each value
    DataBuffer<int64_t> nanoseconds;
  };

}  // namespace orc

#endif