/*
 * 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.
 */
package org.apache.drill.exec.planner.cost;

import org.apache.calcite.plan.RelOptCost;
import org.apache.calcite.plan.RelOptUtil;
import org.apache.calcite.runtime.Utilities;

/**
 * Implementation of the DrillRelOptCost, modeled similar to VolcanoCost
 */
public class DrillCostBase implements DrillRelOptCost {

  /**
   * NOTE: the multiplication factors below are not calibrated yet...these
   * are chosen based on approximations for now. For reference purposes,
   * assume each disk on a server can have a sustained I/O throughput of
   * 100 MBytes/sec.  Suppose there is an array of 16 disks per server..theoretically
   * one could get 1.6GBytes/sec. Suppose network speed is 1GBit/sec which is
   * 128MBytes/sec, although actual transfer rate over the network may be lower.
   * We are only concerned with relative costs, not absolute values.
   * For relative costing, let's assume sending data over the network is
   * about 16x slower than reading/writing to an array of local disks.
   */
  public static final int BASE_CPU_COST = 1;                        // base cpu cost per 'operation'
  public static final int BYTE_DISK_READ_COST = 32 * BASE_CPU_COST;    // disk read cost per byte
  public static final int BYTE_NETWORK_COST = 16 * BYTE_DISK_READ_COST; // network transfer cost per byte


  public static final int SVR_CPU_COST = 8 * BASE_CPU_COST;          // cpu cost for SV remover
  public static final int FUNC_CPU_COST = 12 * BASE_CPU_COST;         // cpu cost for a function evaluation

  // cpu cost for projecting an expression; note that projecting an expression
  // that is not a simple column or constant may include evaluation, but we
  // currently don't model it at that level of detail.
  public static final int PROJECT_CPU_COST = 4 * BASE_CPU_COST;

  // hash cpu cost per field (for now we don't distinguish between fields of different types) involves
  // the cost of the following operations:
  // compute hash value, probe hash table, walk hash chain and compare with each element,
  // add to the end of hash chain if no match found
  public static final int HASH_CPU_COST = 8 * BASE_CPU_COST;

  // The ratio to convert memory cost into CPU cost.
  public static final double MEMORY_TO_CPU_RATIO = 1.0;

  public static final int RANGE_PARTITION_CPU_COST = 12 * BASE_CPU_COST;

  // cost of comparing one field with another (ignoring data types for now)
  public static final int COMPARE_CPU_COST = 4 * BASE_CPU_COST;
  public static final int AVG_FIELD_WIDTH = 8;

  /** For the costing formulas in computeSelfCost(), assume the following notations:
  * Let
  *   C = Cost per node.
  *   k = number of fields on which to distribute on
  *   h = CPU cost of computing hash value on 1 field
  *   s = CPU cost of Selection-Vector remover per row
  *   w = Network cost of sending 1 row to 1 destination
  *   c = CPU cost of comparing an incoming row with one on a heap of size N
  */

  static final DrillCostBase INFINITY =
      new DrillCostBase(
          Double.POSITIVE_INFINITY,
          Double.POSITIVE_INFINITY,
          Double.POSITIVE_INFINITY,
          Double.POSITIVE_INFINITY) {
        @Override
        public String toString() {
          return "{inf}";
        }
      };

  static final DrillCostBase HUGE =
      new DrillCostBase(Double.MAX_VALUE,
        Double.MAX_VALUE,
        Double.MAX_VALUE,
        Double.MAX_VALUE) {
        @Override
        public String toString() {
          return "{huge}";
        }
      };

  static final DrillCostBase ZERO =
      new DrillCostBase(0.0, 0.0, 0.0, 0.0) {
        @Override
        public String toString() {
          return "{0}";
        }
      };

  static final DrillCostBase TINY =
      new DrillCostBase(1.0, 1.0, 0.0, 0.0) {
        @Override
        public String toString() {
          return "{tiny}";
        }
      };

  final double rowCount;
  final double cpu;
  final double io;
  final double network;
  final double memory;

  public DrillCostBase(double rowCount, double cpu, double io, double network) {
    this(rowCount, cpu, io, network, 0);
  }

  public DrillCostBase(double rowCount, double cpu, double io, double network, double memory) {
    this.rowCount = rowCount;
    this.cpu = cpu;
    this.io = io;
    this.network = network;
    this.memory = memory;
  }

  @Override
  public double getRows() {
    return rowCount;
  }

  @Override
  public double getCpu() {
    return cpu;
  }

  @Override
  public double getIo() {
    return io;
  }

  @Override
  public double getNetwork() {
    return network;
  }

  public double getMemory() {
    return memory;
  }

  @Override
  public int hashCode() {
    return Utilities.hashCode(rowCount) + Utilities.hashCode(cpu)
        + Utilities.hashCode(io) + Utilities.hashCode(network);
  }

  @Override
  public boolean isInfinite() {
    return (this == INFINITY)
      || (this.cpu == Double.POSITIVE_INFINITY)
      || (this.io == Double.POSITIVE_INFINITY)
      || (this.network == Double.POSITIVE_INFINITY)
      || (this.rowCount == Double.POSITIVE_INFINITY)
      || (this.memory == Double.POSITIVE_INFINITY);
  }

  @Override
  public boolean equals(RelOptCost other) {
    // here we compare the individual components similar to VolcanoCost, however
    // an alternative would be to add up the components and compare the total.
    // Note that VolcanoPlanner mainly uses isLe() and isLt() for cost comparisons,
    // not equals().
    return this == other
      || (other instanceof DrillCostBase
          && (this.cpu == ((DrillCostBase) other).cpu)
          && (this.io == ((DrillCostBase) other).io)
          && (this.network == ((DrillCostBase) other).network)
          && (this.rowCount == ((DrillCostBase) other).rowCount)
          && (this.memory == ((DrillCostBase) other).memory));
  }

  @Override
  public boolean isEqWithEpsilon(RelOptCost other) {
    if (!(other instanceof DrillCostBase)) {
      return false;
    }
    DrillCostBase that = (DrillCostBase) other;
    return (this == that)
      || ((Math.abs(this.cpu - that.cpu) < RelOptUtil.EPSILON)
          && (Math.abs(this.io - that.io) < RelOptUtil.EPSILON)
          && (Math.abs(this.network - that.network) < RelOptUtil.EPSILON)
          && (Math.abs(this.rowCount - that.rowCount) < RelOptUtil.EPSILON)
          && (Math.abs(this.memory - that.memory) < RelOptUtil.EPSILON));
  }

  @Override
  public boolean isLe(RelOptCost other) {
    DrillCostBase that = (DrillCostBase) other;

    return this == that
      || ( (this.cpu + this.io + this.network + this.memory * DrillCostBase.MEMORY_TO_CPU_RATIO)
        <= (that.cpu + that.io + that.network + that.memory * DrillCostBase.MEMORY_TO_CPU_RATIO));
  }

  @Override
  public boolean isLt(RelOptCost other) {
    DrillCostBase that = (DrillCostBase) other;

     return  ( (this.cpu + this.io + this.network + this.memory * DrillCostBase.MEMORY_TO_CPU_RATIO)
         < (that.cpu + that.io + that.network + that.memory * DrillCostBase.MEMORY_TO_CPU_RATIO) );
  }

  @Override
  public RelOptCost plus(RelOptCost other) {
    DrillCostBase that = (DrillCostBase) other;
    if ((this == INFINITY) || (that == INFINITY)) {
      return INFINITY;
    }
    return new DrillCostBase(
        this.rowCount + that.rowCount,
        this.cpu + that.cpu,
        this.io + that.io,
        this.network + that.network,
        this.memory + that.memory);
  }

  @Override
  public RelOptCost minus(RelOptCost other) {
    if (this == INFINITY) {
      return this;
    }
    DrillCostBase that = (DrillCostBase) other;
    return new DrillCostBase(
        this.rowCount - that.rowCount,
        this.cpu - that.cpu,
        this.io - that.io,
        this.network - that.network,
        this.memory - that.memory);
  }

  @Override
  public RelOptCost multiplyBy(double factor) {
    if (this == INFINITY) {
      return this;
    }
    return new DrillCostBase(rowCount * factor, cpu * factor, io * factor, network * factor, memory * factor);
  }

  @Override
  public double divideBy(RelOptCost cost) {
    // Compute the geometric average of the ratios of all of the factors
    // which are non-zero and finite.
    DrillCostBase that = (DrillCostBase) cost;
    double d = 1;
    double n = 0;
    if ((this.rowCount != 0)
        && !Double.isInfinite(this.rowCount)
        && (that.rowCount != 0)
        && !Double.isInfinite(that.rowCount)) {
      d *= this.rowCount / that.rowCount;
      ++n;
    }
    if ((this.cpu != 0)
        && !Double.isInfinite(this.cpu)
        && (that.cpu != 0)
        && !Double.isInfinite(that.cpu)) {
      d *= this.cpu / that.cpu;
      ++n;
    }
    if ((this.io != 0)
        && !Double.isInfinite(this.io)
        && (that.io != 0)
        && !Double.isInfinite(that.io)) {
      d *= this.io / that.io;
      ++n;
    }
    if ((this.network != 0)
        && !Double.isInfinite(this.network)
        && (that.network != 0)
        && !Double.isInfinite(that.network)) {
      d *= this.network / that.network;
      ++n;
    }

    if (n == 0) {
      return 1.0;
    }
    return Math.pow(d, 1 / n);
  }

  @Override
  public String toString() {
    return "{" + rowCount + " rows, " + cpu + " cpu, " + io + " io, " + network + " network, " + memory + " memory}";
  }

  public static class DrillCostFactory implements DrillRelOptCostFactory {

    public RelOptCost makeCost(double dRows, double dCpu, double dIo, double dNetwork, double dMemory) {
      return new DrillCostBase(dRows, dCpu, dIo, dNetwork, dMemory);
    }

    public RelOptCost makeCost(double dRows, double dCpu, double dIo, double dNetwork) {
      return new DrillCostBase(dRows, dCpu, dIo, dNetwork, 0);
    }

    public RelOptCost makeCost(double dRows, double dCpu, double dIo) {
      return new DrillCostBase(dRows, dCpu, dIo, 0, 0);
    }

    public RelOptCost makeHugeCost() {
      return DrillCostBase.HUGE;
    }

    public RelOptCost makeInfiniteCost() {
      return DrillCostBase.INFINITY;
    }

    public RelOptCost makeTinyCost() {
      return DrillCostBase.TINY;
    }

    public RelOptCost makeZeroCost() {
      return DrillCostBase.ZERO;
    }
  }

}
