Scripting: Performance – Arma Reforger

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Revision as of 21:01, 17 May 2022

Performance is an important aspect of scripting, as poor performance can tank the whole gaming experience, if not the game itself.

  • What is tanking performances
    • Crazy requests
    • Memory saturation
    • Redundant code operations
  • How to benchmark/identify what slows down things
    • What is acceptable?
    • What is not?


Performance Enemies

Many if not all of the usual performance issues can see some of these questions asked:

  • is it needed?
  • is it needed there?
  • is it needed that much?
  • is it needed immediately?
  • is it needed that frequently?

and the respective solutions to positive replies to these questions would be:

  • don't do it: quite straightforward, can mean to remove the code or to replace it with a simpler code
  • don't do it there: the concerned class might be dealing with responsibilities that are out of its scope
  • don't do it that much: the structure can be rethought in order to have fewer operations to be executed
  • don't do it in one frame: the calculation can be spread over multiple frames and result delayed and cached
  • don't do it that frequently: the code can be set to run every X seconds, result being delayed and cached until the next iteration

Not Needed

Problem

Partially unneeded calculation is done.

Solution

  • Remove the unneeded code
  • Split the code to only do needed processing in each case

Misplaced

Problem

A calculation/storage is done on every instance whereas calculation could be centralised.

Solution

Move the responsibility and the data to a dedicated class (S from SOLID, Single Responsibility Principle).

Example

Original Optimised
class PerformanceExample : IEntity
{
	protected ref array<ref PotentialTarget> m_aObjects = { /* ... */ }; // big list of objects

	protected array<ref PotentialTarget> GetTargets()
	{
		array<ref PotentialTarget> result = {};
		foreach (PotentialTarget object : m_aObjects)
		{
			if (object.IsEnemyTo(this.GetFaction()))
			{
				result.Insert(object);
			}
		}
		return result;
	}
}
class EnemyManager
{
	protected ref map<Faction, ref array<ref PotentialTarget>> m_mTargetMap;

	void EnemyManager(array<ref PotentialTarget> potentialTargets)
	{
		m_mTargetMap = new map<Faction, ref array<ref PotentialTarget>>();

		array<ref PotentialTarget> factionTargets;
		foreach (Faction faction : Faction.GetAllFactions())
		{
			factionTargets = {};
			foreach (PotentialTarget potentialTarget : potentialTargets)
			{
				if (potentialTarget.IsEnemyTo(faction))
				{
					factionTargets.Insert(potentialTarget);
				}
			}
			m_mTargetMap.Set(faction, factionTargets);
		}
	}

	array<ref PotentialTarget> GetTargets(Faction faction)
	{
		return m_mTargetMap.Get(faction);
	}
}

class PerformanceExample : IEntity
{
	protected ref m_EnemyManager;

	void PerformanceExample(notnull EnemyManager enemyManager)
	{
		m_EnemyManager = enemyManager;
	}

	protected array<ref PotentialTarget> GetTargets()
	{
		return m_EnemyManager.GetTargets(this.GetFaction());
	}
}


Ill-Conceived

Problem

A big array of data is processed at once. Going through all the data is not needed.

Solution

Stop as soon as an acceptable result has been obtained.

Example

Original Optimised
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects

	protected int GetNumberOfAliveObjects()
	{
		int result = 0;
		foreach (AliveOrNotObject object : m_aObjects)
		{
			if (object.IsAlive())
				result++;
		}
		return result;
	}

	bool IsAnObjectAlive()
	{
		return GetNumberOfAliveObjects() > 0; // heavy: goes through all objects to know if -one- is alive
	}
}
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects

	bool IsAnObjectAlive()
	{
		foreach (AliveOrNotObject object : m_aObjects)
		{
			if (object.IsAlive())
				return true; // stops on the first occurence
		}
		return false; // goes through all instances to reach false - less likely
	}
}

Spread

Problem

A big array of data is processed at once. The calculation itself is not the issue, the amount of items is.
or
A heavy calculation is done, and only one such operation should happen per frame.

Solution

Spread the calculation over multiple frames.

Example 1

Array size issue:

Original Optimised
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects

	void EOnInit(IEntity owner)
	{
	G	etGame().GetCallqueue().CallLater(PrintResult, 250, true);
	}

	int GetNumberOfAliveObjects()
	{
		int result = 0;
		foreach (AliveOrNotObject object : m_aObjects)
		{
			if (object.IsAlive())
				result++;
		}
		return result;
	}

	void PrintResult()
	{
		Print("Alive objects = " + GetNumberOfAliveObjects());
	}
}
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects
	protected ref array<ref AliveOrNotObject> m_aObjectsToBeProcessed = {};
	protected bool m_bIsCalculating;
	protected int m_iTempResult;
	protected int m_iAliveCountBuffer;

	void EOnInit(IEntity owner)
	{
		Calculate();
		GetGame().GetCallqueue().CallLater(PrintResult, 250, true);
	}

	void EOnFrame(IEntity owner, float timeSlice)
	{
		if (m_bIsCalculating)
		{
			Calculate();
		}

		// other frame things
		// ...
	}

	void Calculate()
	{
		if (m_aObjectsToBeProcessed.Count() < 1)
		{
			m_bIsCalculating = true;
			m_iTempResult = 0;
			m_aObjectsToBeProcessed.Copy(m_aObjects);
		}

		// max 10k items slice
		for (int i = 0, int maxCount = Math.Min(m_aObjectsToBeProcessed.Count(), 10000); i < maxCount; i++)
		{
			AliveOrNotObject object = m_aObjectsToBeProcessed[0];	// always @ index 0
																	// for we remove the first item later
			if (object.IsAlive())
			{
				m_iTempResult++;
			}
			m_aObjectsToBeProcessed.Remove(0);
		}

		if (m_aObjectsToBeProcessed.Count() < 1)
		{
			m_iAliveCountBuffer = m_iTempResult;
			GetGame().GetCallqueue().CallLater(Calculate, 1000); // restart calculation in 1 second
			m_bIsCalculating = false;
		}
	}

	int GetNumberOfAliveObjects()
	{
		return m_iAliveCountBuffer;
	}

	void PrintResult()
	{
		Print("Alive objects = " + GetNumberOfAliveObjects());
	}
}

Example 2

Heavy calculation issue:

Original Optimised
class PerformanceExample : IEntity
{
	protected ref array<ref Player> m_aPlayers = { /* ... */ };
	protected ref map<ref Player, bool> m_mCastResult;
	protected BaseWorld world;

	void PerformanceExample()
	{
		m_mCastResult = new map<ref Player, bool>();
		world = GetGame().GetWorld();
	}

	void CheckLineOfSight()
	{
		float result;
		TraceParam traceParam;
		foreach (Player player : m_aPlayers)
		{
			traceParam = new TraceParam();
			traceParam.Start = this.Position();
			traceParam.End = player.Position();
			result = world.TraceMove(traceParam, null); // a Trace is a very expensive method
			m_mCastResult.Set(player, result == 1);
		}
	}
}
class PerformanceExample : IEntity
{
	protected ref array<ref Player> m_aPlayers = { /* ... */ };
	protected ref map<ref Player, bool> m_mCastResult;
	protected BaseWorld world;
	protected int m_iIndex = -1;
	protected bool m_bIsCalculating;

	void PerformanceExample()
	{
		m_mCastResult = new map<ref Player, bool>();
		world = GetGame().GetWorld();
	}

	void EOnFrame(IEntity owner, float timeSlice)
	{
		if (m_bIsCalculating)
		{
			CheckLineOfSight();
		}
	}

	void CheckLineOfSight()
	{
		m_iIndex++;
		m_bIsCalculating = m_iIndex < m_aPlayers.Count();
		if (!m_bIsCalculating)
		{
			m_iIndex = -1;
			return;
		}

		Player player = m_aPlayers[m_iIndex];
		TraceParam traceParam = new TraceParam();
		traceParam.Start = this.Position();
		traceParam.End = player.Position();
		float result = world.TraceMove(traceParam, null); // one Trace per frame
		m_mCastResult.Set(player, result == 1);
	}
}

Immediate Calculation

Problem

A heavy operation is done frequently.

Solution

Do the heavy operation once, store its result in a member variable and accessible through a getter.

Example

Original Optimised
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects

	void EOnInit(IEntity owner)
	{
		GetGame().GetCallqueue().CallLater(PrintResult, 250, true);
	}

	int GetNumberOfAliveObjects()
	{
		int result = 0;
		foreach (AliveOrNotObject object : m_aObjects)
		{
			if (object.IsAlive())
			{
				result++;
			}
		}
		return result;
	}

	void PrintResult()
	{
		Print("Alive objects = " + GetNumberOfAliveObjects());
	}
}
class PerformanceExample : IEntity
{
	protected ref array<ref AliveOrNotObject> m_aObjects = { /* ... */ }; // big list of objects
	protected int m_iAliveCountBuffer;

	void EOnInit(IEntity owner)
	{
		GetGame().GetCallqueue().CallLater(Calculate, 1000, true);	// calculate only every second
		GetGame().GetCallqueue().CallLater(PrintResult, 250, true);	// displays result every 1/4 second
	}

	void Calculate()
	{
		int result = 0;
		foreach (AliveOrNotObject object : m_aObjects)
		{
			if (object.IsAlive())
			{
				result++;
			}
		}
		m_iAliveCountBuffer = result;
	}

	int GetNumberOfAliveObjects()
	{
		return m_iAliveCountBuffer;
	}

	void PrintResult()
	{
		Print("Alive objects = " + GetNumberOfAliveObjects());
	}
}


Specific Issues

Big Foreach

Problem

Going through one big list of items in one operation.

Specific Solution

  • Use a smaller list by being more precise
  • Continue out of the scope if the item is not viable for the operation

High-Frequency Scripts

Problem

OnEachFrame calculations - are they needed?

Specific Solution

  • Less resource-hungry calls
  • Buffering/caching

High-Performance Request

Problem

Is a 10km raycast really needed?

Solution

  • Reconsider the need
  • Find a smarter solution


Benchmark

What Should be of Concern

  • Non time-critical operations that are made in the same frame
  • High RAM usage

What Should Not Be Of Concern

  • Normal operations that are required and that one cannot do without (yes, check if the player is alive before performing action, otherwise the feature breaks)
  • One-time required big operation (spawning a base = data loading, no can do anything about it)