我的flink SQL 的时候使用了topN语法,在程序运行一段时间后出现了如下错误:
[flink-akka.actor.default-dispatcher-8695] INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Rank(strategy=[AppendFastStrategy], rankType=[ROW_NUMBER], rankRange=[rankStart=1, rankEnd=1], partitionBy=[contact_id, service_no], orderBy=[operate_time DESC], select=[operate_time, contact_id, call_id, sheet_id, code_contact_channel, start_time, service_no, record_file, contact_length, user_code, user_name, customer_name]) -> Calc(select=[contact_id, start_time, contact_length, service_no, call_id, user_code, user_name, customer_name, sheet_id, record_file, code_contact_channel]) (1/1) (52b8519ad9a44832a283c1760f385bf6) switched from RUNNING to FAILED. java.lang.ArrayIndexOutOfBoundsException: -1 at java.util.ArrayList.elementData(ArrayList.java:422) at java.util.ArrayList.remove(ArrayList.java:499) at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElementWithoutRowNumber(AppendOnlyTopNFunction.java:205) at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:120) at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:46) at org.apache.flink.streaming.api.operators.KeyedProcessOperator.processElement(KeyedProcessOperator.java:85) at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask.java:173) at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.processElement(StreamTaskNetworkInput.java:151) at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.emitNext(StreamTaskNetworkInput.java:128) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:69) at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:311) at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:187) at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:487) at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:470) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:707) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:532) 我查看源码对应的函数发现对list没有进行是否空集判断,我的理解是程序默认list集合一定会有数据所以会做出不判断空而执行remove操作; private void processElementWithoutRowNumber(BaseRow input, Collector<BaseRow> out) throws Exception { // remove retired element if (buffer.getCurrentTopNum() > rankEnd) { Map.Entry<BaseRow, Collection<BaseRow>> lastEntry = buffer.lastEntry(); BaseRow lastKey = lastEntry.getKey(); List<BaseRow> lastList = (List<BaseRow>) lastEntry.getValue(); // remove last one BaseRow lastElement = lastList.remove(lastList.size() - 1); if (lastList.isEmpty()) { buffer.removeAll(lastKey); dataState.remove(lastKey); } else { dataState.put(lastKey, lastList); } if (input.equals(lastElement)) { return; } else { // lastElement shouldn't be null delete(out, lastElement); } } collect(out, input); } 这边是如何保证map集合一定有数据的,不知道这是不是bug,或者说是我的数据有问题;但是我的数据有空也不会影响程序吧! |
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