wary commented on code in PR #329:
URL:
https://github.com/apache/doris-spark-connector/pull/329#discussion_r2191368521
##########
spark-doris-connector/spark-doris-connector-base/src/main/java/org/apache/doris/spark/util/LoadBalanceList.java:
##########
@@ -0,0 +1,38 @@
+package org.apache.doris.spark.util;
+
+import java.util.Collections;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Random;
+
+
+public class LoadBalanceList<T> implements Iterable<T> {
+
+ private final List<T> list;
+
+ public LoadBalanceList(List<T> servers) {
+ this.list = Collections.unmodifiableList(servers);
+ }
+
+ @Override
+ public Iterator<T> iterator() {
+ return new Iterator<T>() {
+ final int offset = Math.abs(new Random().nextInt());
Review Comment:
Yes, similar to the effect of direct randomness; compare last version which
using Collections.shuffe(list), I think the performance should be slightly
better. Any way, I think it can achieve load balancing effects. Additionally,
by reporting the failed node through the method reportFailed, LoadBalanceList
will automatically prioritize nodes without issues, achieving the same effect
as the collection pool's heartbeat mechanism, and it is more lightweight and
suitable for the current scenario.
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