我的工作在减少 map 步骤之前有一些异常(exception),但是工作没有被杀死。如何配置hadoop,使作业在异常后被杀死?
立即调用主类
心跳
心跳
主类(class)的招生完成
Oozie Launcher结束
标准日志
org.springframework.jdbc.CannotGetJdbcConnectionException: Could not get JDBC Connection; nested exception is org.apache.commons.dbcp.SQLNestedException: Cannot create PoolableConnectionFactory (Io exception: Unknown host specified )
at org.springframework.jdbc.datasource.DataSourceUtils.getConnection(DataSourceUtils.java:82)
at org.springframework.jdbc.core.JdbcTemplate.execute(JdbcTemplate.java:577)
at org.springframework.jdbc.core.JdbcTemplate.update(JdbcTemplate.java:792)
at org.springframework.jdbc.core.JdbcTemplate.update(JdbcTemplate.java:815)
at com.seven.crcs.export.dao.ReportDAOImpl.recreateReportEntity(ReportDAOImpl.java:151)
at com.seven.crcs.export.dao.ReportDAOImpl.saveActiveUserCount(ReportDAOImpl.java:93)
at com.seven.crcs.export.ReportJdbcExporter.saveActiveUserCount(ReportJdbcExporter.java:55)
at com.seven.dataprocessor.oc.jobs.reports.export.day.ExportDailyUserReducer.exportUserCounts(ExportDailyUserReducer.java:32)
at com.seven.dataprocessor.oc.jobs.reports.export.ExportActiveUser
org.springframework.jdbc.CannotGetJdbcConnectionException: Could not get JDBC Connection; nested exception is org.apache.commons.dbcp.SQLNestedException: Cannot create PoolableConnectionFactory (Io exception: Unknown host specified )
和
2013-02-28 06:06:46,487 INFO org.apache.hadoop.mapred.JobClient: Task Id : attempt_201302270945_0181_r_000000_0, Status : FAILED
2013-02-28 06:07:00,600 INFO org.apache.hadoop.mapred.JobClient: Task Id : attempt_201302270945_0181_r_000000_1, Status : FAILED
2013-02-28 06:07:16,650 INFO org.apache.hadoop.mapred.JobClient: Task Id : attempt_201302270945_0181_r_000000_2, Status : FAILED
2013-02-28 06:07:31,731 INFO org.apache.hadoop.mapred.JobClient: Job complete: job_201302270945_0181
但工作已成功完成
最佳答案
您的工作实际上已终止,但仅在map任务3次失败尝试后(任务ID显示):
您可以通过将parameter
mapred.map.max.attempts
设置为1
或使用JobConf#setMaxMapAttempts(int)JobConf#setMaxMapAttempts来限制每个任务的最大尝试次数。这将导致您的 map task 在第一个异常上失败,从而更快地终止您的工作。