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fix(sj_1.1.0-beta2): 修复reduce分片算法错误问题

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opensnail 2024-06-28 15:27:11 +08:00
parent d03ac24715
commit 6dae8aace5
1 changed files with 8 additions and 3 deletions
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11
snail-job-server/snail-job-server-job-task/src/main/java/com/aizuda/snailjob/server/job/task/support/generator/task/MapReduceTaskGenerator.java
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@ -131,10 +131,15 @@ public class MapReduceTaskGenerator extends AbstractJobTaskGenerator {
.eq(JobTask::getLeaf, StatusEnum.YES.getStatus())
);
// 这里需要判断是否是map
List<String> allMapJobTasks = StreamUtils.toList(jobTasks, JobTask::getResultMessage);
if (CollUtil.isEmpty(jobTasks)) {
return Lists.newArrayList();
}
List<List<String>> partition = Lists.partition(allMapJobTasks, reduceParallel);
// 这里需要判断是否是map
// 平均分配map集合, 若reduceParallel > allMapJobTasks.size(), 则取allMapJobTasks.size()作为分片数
List<String> allMapJobTasks = StreamUtils.toList(jobTasks, JobTask::getResultMessage);
int size = (allMapJobTasks.size() + reduceParallel - 1) / reduceParallel;
List<List<String>> partition = Lists.partition(allMapJobTasks, size);
jobTasks = new ArrayList<>(partition.size());
final List<JobTask> finalJobTasks = jobTasks;