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源码编译后 进入target/datax/datax,运行 python bin/datax.py job/job.json
报错:
2020-09-25 20:27:24.531 [main] INFO ErrorRecordChecker - percentage使用标准的百分比(配置值忽略百分号),如 [45.45%] 的配置为:"percentage": 45.45
2020-09-25 20:27:24.532 [main] INFO ErrorRecordChecker - 配置了 errorLimit.record, 其优先级高于 errorLimit.percentage 会将覆盖 errorLimit.percentage
2020-09-25 20:27:24.533 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2020-09-25 20:27:24.534 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2020-09-25 20:27:24.535 [main] INFO JobContainer - DataX jobContainer starts job.
2020-09-25 20:27:24.537 [main] INFO JobContainer - Set jobId = 0
2020-09-25 20:27:24.559 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2020-09-25 20:27:24.560 [job-0] INFO JobContainer - DataX Reader.Job [streamreader] do prepare work .
2020-09-25 20:27:24.561 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2020-09-25 20:27:24.561 [job-0] INFO JobContainer - jobContainer starts to do split ...
2020-09-25 20:27:24.568 [job-0] ERROR JobContainer - Exception when job run
com.alibaba.datax.common.exception.DataXException: Code:[Framework-03], Description:[DataX引擎配置错误,该问题通常是由于DataX安装错误引起,请联系您的运维解决 .]. - 在有总bps限速条件下,单个channel的bps值不能为空,也不能为非正数
at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:26) ~[datax-common-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.adjustChannelNumber(JobContainer.java:430) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.split(JobContainer.java:387) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:117) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.start(Engine.java:92) [datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.entry(Engine.java:171) [datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.main(Engine.java:204) [datax-core-0.0.1-SNAPSHOT.jar:na]
2020-09-25 20:27:24.576 [job-0] INFO StandAloneJobContainerCommunicator - Total 0 records, 0 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 0.00%
2020-09-25 20:27:24.577 [job-0] ERROR Engine -
经DataX智能分析,该任务最可能的错误原因是:
com.alibaba.datax.common.exception.DataXException: Code:[Framework-03], Description:[DataX引擎配置错误,该问题通常是由于DataX安装错误引起,请联系您的运维解决 .]. - 在有总bps限速条件下,单个channel的bps值不能为空,也不能为非正数
at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:26)
at com.alibaba.datax.core.job.JobContainer.adjustChannelNumber(JobContainer.java:430)
at com.alibaba.datax.core.job.JobContainer.split(JobContainer.java:387)
at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:117)
at com.alibaba.datax.core.Engine.start(Engine.java:92)
at com.alibaba.datax.core.Engine.entry(Engine.java:171)
at com.alibaba.datax.core.Engine.main(Engine.java:204)
谢谢
The text was updated successfully, but these errors were encountered:
源码编译后 进入target/datax/datax,运行 python bin/datax.py job/job.json
报错:
2020-09-25 20:27:24.531 [main] INFO ErrorRecordChecker - percentage使用标准的百分比(配置值忽略百分号),如 [45.45%] 的配置为:"percentage": 45.45
2020-09-25 20:27:24.532 [main] INFO ErrorRecordChecker - 配置了 errorLimit.record, 其优先级高于 errorLimit.percentage 会将覆盖 errorLimit.percentage
2020-09-25 20:27:24.533 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2020-09-25 20:27:24.534 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2020-09-25 20:27:24.535 [main] INFO JobContainer - DataX jobContainer starts job.
2020-09-25 20:27:24.537 [main] INFO JobContainer - Set jobId = 0
2020-09-25 20:27:24.559 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2020-09-25 20:27:24.560 [job-0] INFO JobContainer - DataX Reader.Job [streamreader] do prepare work .
2020-09-25 20:27:24.561 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2020-09-25 20:27:24.561 [job-0] INFO JobContainer - jobContainer starts to do split ...
2020-09-25 20:27:24.568 [job-0] ERROR JobContainer - Exception when job run
com.alibaba.datax.common.exception.DataXException: Code:[Framework-03], Description:[DataX引擎配置错误,该问题通常是由于DataX安装错误引起,请联系您的运维解决 .]. - 在有总bps限速条件下,单个channel的bps值不能为空,也不能为非正数
at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:26) ~[datax-common-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.adjustChannelNumber(JobContainer.java:430) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.split(JobContainer.java:387) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:117) ~[datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.start(Engine.java:92) [datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.entry(Engine.java:171) [datax-core-0.0.1-SNAPSHOT.jar:na]
at com.alibaba.datax.core.Engine.main(Engine.java:204) [datax-core-0.0.1-SNAPSHOT.jar:na]
2020-09-25 20:27:24.576 [job-0] INFO StandAloneJobContainerCommunicator - Total 0 records, 0 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 0.00%
2020-09-25 20:27:24.577 [job-0] ERROR Engine -
经DataX智能分析,该任务最可能的错误原因是:
com.alibaba.datax.common.exception.DataXException: Code:[Framework-03], Description:[DataX引擎配置错误,该问题通常是由于DataX安装错误引起,请联系您的运维解决 .]. - 在有总bps限速条件下,单个channel的bps值不能为空,也不能为非正数
at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:26)
at com.alibaba.datax.core.job.JobContainer.adjustChannelNumber(JobContainer.java:430)
at com.alibaba.datax.core.job.JobContainer.split(JobContainer.java:387)
at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:117)
at com.alibaba.datax.core.Engine.start(Engine.java:92)
at com.alibaba.datax.core.Engine.entry(Engine.java:171)
at com.alibaba.datax.core.Engine.main(Engine.java:204)
谢谢
The text was updated successfully, but these errors were encountered: