Daniel Esik danicheg

I started with the current microbenchmarking suite from the zio-redis repository and tweaked it to check throughput, considering the different key values' sizes, from 128b to 32kb. I've been running microbenchmarking for the current versions of Redis4Cats and Zio-Redis:

"dev.profunktor" %% "redis4cats-effects" % "1.7.2"
"dev.zio" %% "zio-redis" % "1.0.0"

The suite's config:

@Measurement(iterations = 10)

Benchmark	(id)	(testUnitsName)	Mode	Cnt	Score	Error	Units
MVarVsTrieMap.getById	foo	MVar	thrpt	10	3.936	± 1.042	ops/ms
MVarVsTrieMap.getById	foo	TrieMap	thrpt	10	1854.225	± 12.373	ops/ms
MVarVsTrieMap.getById	bar	MVar	thrpt	10	3.769	± 0.923	ops/ms
MVarVsTrieMap.getById	bar	TrieMap	thrpt	10	1826.843	± 9.966	ops/ms

	package munit

	import cats.effect.{IO, Resource}

	// ce3/js/src/main/scala/munit/ResourceSuiteLocalFixturePlatform
	private[munit] trait ResourceSuiteLocalFixturePlatform { self: CatsEffectSuite =>
	def createResourceSuiteLocalFixturePlatform[T](
	name: String,
	resource: Resource[IO, T]
	): Fixture[T] =

	import cats.effect.Async
	import org.apache.kafka.clients.producer.{
	ProducerRecord,
	RecordMetadata,
	KafkaProducer => ApacheKafkaProducer
	}
	import org.apache.kafka.clients.producer.ProducerConfig
	import org.apache.kafka.common.serialization.Serializer
	import fs2._

	package data

	import monocle.Lens

	trait HasLens[A, B] {
	def lens: Lens[A, B]
	}

	object HasLens extends HasLensSyntax0

	Running (fork) scala.future.BenchRunner -p threads=1 -p recursion=8192 -i 30 -wi 15 -f1 -t1 Benchmark
	# JMH version: 1.20
	# VM version: JDK 1.8.0_151, VM 25.151-b12
	# VM invoker: /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
	# VM options: -Xmx512M -Xms512M -ea -server -XX:+UseCompressedOops -XX:+AlwaysPreTouch -XX:+UseCondCardMark
	# Warmup: 15 iterations, 1 s each
	# Measurement: 30 iterations, 1 s each
	# Timeout: 10 min per iteration
	# Threads: 1 thread, will synchronize iterations
	# Benchmark mode: Throughput, ops/time