解决Flink流负载不平衡的方法有以下几种:
setParallelism()
方法来设置任务的并行度。DataStream stream = ...;
stream.setParallelism(4);
rebalance()
、rescale()
或shuffle()
等操作符将数据重新分区,以实现负载均衡。DataStream stream = ...;
stream.rebalance();
keyBy
操作符将数据按键分区,以实现负载均衡。DataStream stream = ...;
stream.keyBy("keyField");
DataStream stream = ...;
stream.partitionCustom(new MyPartitioner(), "keyField");
DataStream stream = ...;
stream.filter(...).startNewChain();
./bin/flink run -m yarn-cluster -yjm 2048 -ytm 4096 -ys 4 -yqu default -yn 2 -ysm 1024 job.jar
通过上述方法,可以有效地解决Flink流负载不平衡的问题,提高任务的执行效率。