belliottsmith commented on code in PR #28:
URL: https://github.com/apache/cassandra-accord/pull/28#discussion_r1100836834
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accord-core/src/test/java/accord/impl/basic/DelayedExecutorService.java:
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@@ -0,0 +1,107 @@
+package accord.impl.basic;
+
+import accord.burn.random.Decision;
+import accord.burn.random.IntRange;
+import accord.burn.random.RandomInt;
+import accord.burn.random.SegmentedIntRange;
+import org.apache.cassandra.concurrent.FutureTask;
+
+import java.util.Collections;
+import java.util.List;
+import java.util.Random;
+import java.util.concurrent.AbstractExecutorService;
+import java.util.concurrent.Callable;
+import java.util.concurrent.Executors;
+import java.util.concurrent.TimeUnit;
+
+public class DelayedExecutorService extends AbstractExecutorService
+{
+ private final PendingQueue pending;
+ private final Random random;
+ private final RandomInt jitterInNano;
+
+ public DelayedExecutorService(PendingQueue pending, Random random)
+ {
+ this.pending = pending;
+ this.random = random;
+ this.jitterInNano = new SegmentedIntRange(
+ new IntRange(microToNanos(0), microToNanos(50)),
+ new IntRange(microToNanos(50), msToNanos(5)),
+ // this is different from Apache Cassandra Simulator as this
is computed differently for each executor
Review Comment:
Like I said, the range isn’t something we should be strict about. We’re just
generating config to generate random values, and there’s no such thing as
“staying within a range” for random values - that only makes sense over some
time horizon and frequency, neither of which we configure.
a random walk is independently nice because it isn’t a uniform distribution
but represents shifting patterns of behaviour, not just at the small/large
boundary but within each scheme.
however, we’ve agonised over this for many times longer than we should have
so 🤷
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