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https://github.com/vitorpamplona/amethyst.git
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Claude
24dc3133ec
`SyncBenchmark.effectiveEvents` materializes the whole corpus as Event objects plus a dedup LinkedHashMap to derive the 80% slices, so a million-event run blew past the 2g default with an OutOfMemoryError before the negentropy sync could start. -Xmx is a ceiling, not a reservation, so smaller runs don't pay for the higher limit; JAVA_OPTS still overrides it. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012EZeWww5TJnzBZKPoc6mvU
43 lines
1.4 KiB
Kotlin
43 lines
1.4 KiB
Kotlin
import org.jetbrains.kotlin.gradle.dsl.JvmTarget
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plugins {
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alias(libs.plugins.jetbrainsKotlinJvm)
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application
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}
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application {
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mainClass.set("com.vitorpamplona.relaybench.MainKt")
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applicationName = "relaybench"
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// Percentile latencies get skewed by GC pauses in the *client* — give the
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// harness enough heap that it never becomes the bottleneck being measured.
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// The sync phase also materializes the whole corpus as Event objects (plus
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// a dedup map) to derive the 80% slices, so a million-event run needs more
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// than 2g or `SyncBenchmark.effectiveEvents` OOMs. -Xmx is a ceiling, not a
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// reservation, so small runs don't pay for it. Override with JAVA_OPTS.
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applicationDefaultJvmArgs = listOf("-Xmx8g")
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}
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kotlin {
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jvmToolchain(21)
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compilerOptions {
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jvmTarget.set(JvmTarget.JVM_21)
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}
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}
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dependencies {
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// Event model, Schnorr signing, Filter + wire-format JSON. The harness
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// reuses quartz so the corpus is byte-identical to what Amethyst emits.
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implementation(project(":quartz"))
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implementation(libs.kotlinx.coroutines.core)
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implementation(libs.jackson.module.kotlin)
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implementation(libs.okhttp)
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// JNI secp256k1 backend quartz needs at runtime on plain JVM.
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runtimeOnly(libs.secp256k1.kmp.jni.jvm)
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testImplementation(libs.kotlin.test)
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testImplementation(libs.kotlinx.coroutines.test)
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testImplementation(libs.secp256k1.kmp.jni.jvm)
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}
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