benchmarks: add BatchSpanProcessor benchmark

benchmarks/src/main/scala/org/typelevel/otel4s/benchmarks/BatchSpanProcessorBenchmark.scala

@@ -0,0 +1,199 @@
+/*
+ * Copyright 2022 Typelevel
+ *
+ * Licensed 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.typelevel.otel4s.benchmarks
+
+import cats.Foldable
+import cats.effect.IO
+import cats.effect.Resource
+import cats.effect.std.Random
+import cats.effect.unsafe.implicits.global
+import cats.syntax.foldable._
+import org.openjdk.jmh.annotations._
+
+import java.util.concurrent.TimeUnit
+import scala.concurrent.duration._
+
+// benchmarks/Jmh/run org.typelevel.otel4s.benchmarks.BatchSpanExporterBenchmark -prof gc
+@State(Scope.Benchmark)
+@BenchmarkMode(Array(Mode.Throughput))
+@OutputTimeUnit(TimeUnit.SECONDS)
+@Threads(5)
+@Warmup(iterations = 5, time = 1)
+@Measurement(iterations = 10, time = 1)
+class BatchSpanProcessorBenchmark {
+
+  import BatchSpanProcessorBenchmark._
+
+  @Param(Array("oteljava", "sdk"))
+  var backend: String = _
+
+  @Param(Array("0", "1", "5"))
+  var delayMs: Int = _
+
+  @Param(Array("1000", "2000", "5000"))
+  var spanCount: Int = _
+
+  private var processor: Processor = _
+  private var finalizer: IO[Unit] = _
+
+  @Benchmark
+  def doExport(): Unit =
+    processor.doExport()
+
+  @Setup(Level.Trial)
+  def setup(): Unit =
+    backend match {
+      case "oteljava" =>
+        val (proc, release) = Processor.otelJava(delayMs.millis, spanCount).allocated.unsafeRunSync()
+
+        processor = proc
+        finalizer = release
+
+      case "sdk" =>
+        val (proc, release) = Processor.sdk(delayMs.millis, spanCount).allocated.unsafeRunSync()
+
+        processor = proc
+        finalizer = release
+
+      case other =>
+        sys.error(s"unknown backend [$other]")
+    }
+
+  @TearDown(Level.Trial)
+  def cleanup(): Unit =
+    finalizer.unsafeRunSync()
+}
+
+object BatchSpanProcessorBenchmark {
+
+  trait Processor {
+    def doExport(): Unit
+  }
+
+  object Processor {
+
+    def otelJava(delay: FiniteDuration, spanCount: Int): Resource[IO, Processor] = {
+      import io.opentelemetry.api.trace.Span
+      import io.opentelemetry.sdk.common.CompletableResultCode
+      import io.opentelemetry.sdk.trace.{ReadableSpan, SdkTracerProvider}
+      import io.opentelemetry.sdk.trace.data.SpanData
+      import io.opentelemetry.sdk.trace.`export`.{BatchSpanProcessor, SpanExporter}
+      import java.util.concurrent.Executors
+      import java.util.concurrent.ScheduledExecutorService
+
+      def toIO(codeIO: IO[CompletableResultCode]): IO[Unit] =
+        codeIO.flatMap { code =>
+          IO.async[Unit] { cb =>
+            IO.delay {
+              code.whenComplete { () =>
+                cb(Either.cond(code.isSuccess, (), new RuntimeException("OpenTelemetry SDK async operation failed")))
+              }
+              None
+            }
+          }
+        }
+
+      def exporter(executor: ScheduledExecutorService): SpanExporter = new SpanExporter {
+        def `export`(spans: java.util.Collection[SpanData]): CompletableResultCode = {
+          val result = new CompletableResultCode()
+          executor.schedule(() => result.succeed(), delay.toMillis, TimeUnit.MILLISECONDS)
+          result
+        }
+
+        def flush(): CompletableResultCode =
+          CompletableResultCode.ofSuccess()
+
+        def shutdown(): CompletableResultCode =
+          CompletableResultCode.ofSuccess()
+      }
+
+      val tracer = SdkTracerProvider.builder().build().get("benchmarkTracer")
+
+      val spans: Vector[Span] =
+        Vector.fill(spanCount)(tracer.spanBuilder("span").startSpan())
+
+      def makeBsp(executor: ScheduledExecutorService) =
+        BatchSpanProcessor
+          .builder(exporter(executor))
+          .setMaxQueueSize(spanCount * 2)
+          .build
+
+      for {
+        executor <- Resource.make(IO.delay(Executors.newScheduledThreadPool(5)))(e => IO.delay(e.shutdown()))
+        bsp <- Resource.make(IO.delay(makeBsp(executor)))(r => toIO(IO.delay(r.shutdown())))
+      } yield new Processor {
+        def doExport(): Unit = {
+          spans.foreach(span => bsp.onEnd(span.asInstanceOf[ReadableSpan]))
+          val _ = bsp.forceFlush().join(10, TimeUnit.MINUTES)
+          ()
+        }
+      }
+    }
+
+    def sdk(delay: FiniteDuration, spanCount: Int): Resource[IO, Processor] = {
+      import org.typelevel.otel4s.trace.{TraceFlags, TraceState}
+      import org.typelevel.otel4s.trace.{SpanContext, SpanKind}
+      import org.typelevel.otel4s.sdk.TelemetryResource
+      import org.typelevel.otel4s.sdk.common.InstrumentationScope
+      import org.typelevel.otel4s.sdk.trace.IdGenerator
+      import org.typelevel.otel4s.sdk.trace.data.{LimitedData, SpanData, StatusData}
+      import org.typelevel.otel4s.sdk.trace.exporter.SpanExporter
+      import org.typelevel.otel4s.sdk.trace.processor.BatchSpanProcessor
+
+      val exporter: SpanExporter[IO] = new SpanExporter[IO] {
+        def name: String = s"DelayExporter($delay)"
+        def exportSpans[G[_]: Foldable](spans: G[SpanData]): IO[Unit] = IO.sleep(delay)
+        def flush: IO[Unit] = IO.unit
+      }
+
+      def mkSpanData(idGenerator: IdGenerator[IO], random: Random[IO]): IO[SpanData] =
+        for {
+          name <- random.nextString(20)
+          traceId <- idGenerator.generateTraceId
+          spanId <- idGenerator.generateSpanId
+        } yield SpanData(
+          name = name,
+          spanContext = SpanContext(traceId, spanId, TraceFlags.Sampled, TraceState.empty, remote = false),
+          parentSpanContext = None,
+          kind = SpanKind.Internal,
+          startTimestamp = Duration.Zero,
+          endTimestamp = None,
+          status = StatusData.Ok,
+          attributes = LimitedData.attributes(Int.MaxValue, 1024),
+          events = LimitedData.events(Int.MaxValue),
+          links = LimitedData.links(Int.MaxValue),
+          instrumentationScope = InstrumentationScope.empty,
+          resource = TelemetryResource.empty
+        )
+
+      for {
+        bsp <- BatchSpanProcessor.builder[IO](exporter).withMaxQueueSize(spanCount * 2).build
+        spans <- Resource.eval(
+          Random.scalaUtilRandom[IO].flatMap { implicit random =>
+            val generator = IdGenerator.random[IO]
+            mkSpanData(generator, random).replicateA(spanCount)
+          }
+        )
+      } yield new Processor {
+        def doExport(): Unit =
+          (spans.traverse_(span => bsp.onEnd(span)) >> bsp.forceFlush).unsafeRunSync()
+      }
+    }
+
+  }
+
+}

build.sbt

@@ -710,7 +710,7 @@ lazy val benchmarks = project
   .enablePlugins(NoPublishPlugin)
   .enablePlugins(JmhPlugin)
   .in(file("benchmarks"))
-  .dependsOn(core.jvm, sdk.jvm, oteljava)
+  .dependsOn(core.jvm, sdk.jvm, `sdk-testkit`.jvm, oteljava)
   .settings(
     name := "otel4s-benchmarks",
     libraryDependencies ++= Seq(

sdk/trace/src/main/scala/org/typelevel/otel4s/sdk/trace/processor/BatchSpanProcessor.scala

@@ -58,6 +58,8 @@ private final class BatchSpanProcessor[F[_]: Temporal: Console] private (
 ) extends SpanProcessor[F] {
   import BatchSpanProcessor.State
 
+  private val unit = Temporal[F].unit
+
   val name: String = "BatchSpanProcessor{" +
     s"exporter=${exporter.name}, " +
     s"scheduleDelay=${config.scheduleDelay}, " +
@@ -69,29 +71,27 @@ private final class BatchSpanProcessor[F[_]: Temporal: Console] private (
   val isEndRequired: Boolean = true
 
   def onStart(parentContext: Option[SpanContext], span: SpanRef[F]): F[Unit] =
-    Temporal[F].unit
-
-  def onEnd(span: SpanData): F[Unit] = {
-    val canExport = span.spanContext.isSampled
-
-    // if 'spansNeeded' is defined, it means the worker is waiting for a certain number of spans
-    // and it waits for the 'signal'-latch to be released
-    // hence, if the queue size is >= than the number of needed spans, the latch can be released
-    def notifyWorker: F[Unit] =
-      (queue.size, state.get)
-        .mapN { (queueSize, state) =>
-          state.spansNeeded.exists(needed => queueSize >= needed)
-        }
-        .ifM(signal.release, Temporal[F].unit)
+    unit
+
+  def onEnd(span: SpanData): F[Unit] =
+    if (span.spanContext.isSampled) {
+      // if 'spansNeeded' is defined, it means the worker is waiting for a certain number of spans
+      // and it waits for the 'signal'-latch to be released
+      // hence, if the queue size is >= than the number of needed spans, the latch can be released
+      def notifyWorker: F[Unit] =
+        for {
+          queueSize <- queue.size
+          state <- state.get
+          _ <- if (state.spansNeeded.exists(needed => queueSize >= needed)) signal.release else unit
+        } yield ()
 
-    def enqueue =
       for {
         offered <- queue.tryOffer(span)
-        _ <- notifyWorker.whenA(offered)
+        _ <- if (offered) notifyWorker else unit
       } yield ()
-
-    enqueue.whenA(canExport)
-  }
+    } else {
+      unit
+    }
 
   def forceFlush: F[Unit] =
     exportAll
@@ -117,12 +117,14 @@ private final class BatchSpanProcessor[F[_]: Temporal: Console] private (
         val request =
           for {
             _ <- state.update(_.copy(spansNeeded = Some(spansNeeded)))
-            _ <- signal.await.timeoutTo(pollWaitTime, Temporal[F].unit)
+            _ <- signal.await.timeoutTo(pollWaitTime, unit)
           } yield ()
 
-        poll(request)
-          .guarantee(state.update(_.copy(spansNeeded = None)))
-          .whenA(pollWaitTime > Duration.Zero)
+        if (pollWaitTime > Duration.Zero) {
+          poll(request).guarantee(state.update(_.copy(spansNeeded = None)))
+        } else {
+          unit
+        }
       }
 
       for {