ocean base 是mysql 模式的。datax同步oceanbase数据源到maxcompute数据源时,报错:oceanbase报错:Code:[DBUtilErrorCode-06], Description:[执行数据库 Sql 失败, 请检查您的配置的 column/table/where/querySql或者向 DBA 寻求帮助.]. - 执行的SQL为:select /*+read_consistency(weak)*/ PROD_CAT,PLCY_EVT_TYP_NBR,GRPCONTNO,GRPPOLNO,CONTNO,POLNO,RISKCODE_GP,RISKCODE_CP,RISKNAME_CP,PRIMFLAG,AGENT_BRC,AGENT_FIL,AGENT_FIL_NAME,AGENT_BRC_SUBNAME,CVR_PYMT_CAT_CODE,PYMT_FREQ,PAYYEARS,AGNTCHNL,AGNTCHNL_FD,AGENTCODE,AGENTNAME,AGENTGRADE,AGT_LVL,AGT_UNI_KEY,AGENTSTATE,AGENTREGO_KEY,AGENTREGO_NAME,APPNTNO_GP,APPNTNAME_GP,APPNTTYPE,APPNTNO,APPNTNAME,APPNTSEX,APPNTAGE,INSUREDNO,INSUREDNAME,CONTPAYMODE,POLSTATE,STATE_GP,STATENAME_GP,DATAVALUE,BUSIRATE,SFYP_BSR_AMT,SFYPC_AMT,XDJZ_GD,RATE_GD,XDJZ_SC,RATE_SC,AMNT,LASTPAYTODATE,MAKEDATE,MAKETIME,GETPOLDATE,GETPOLENTERDATE,FIRSTPAYDATE,CVALIDATE,PROJECTCODE,PROJECTNAME,PROITEMCODE,PROITEMNAME,PTRNO_CP,PTRNO_GP,UWDATE,GRUPKEY,MNGC_BRC,MNGC_BRC_SUBNAME,MNGC_FIL,MNGC_FIL_NAME,SALECHNL,CHNL_CAT,CB_DATE,PTDATE,CD_DATE,TB_DATE,SF_AGENTNAME,SRC_NAME,PROCHARGECODE,ITEMCHARGECODE,PERAGENTCODE,PERAGENTNAME,AGENTCOM,AGENTCOMNAME,COMPANYIDTYPE,COMPANYIDNO,ENTERACC_DATE,YT_DATE,IS_TC,IS_OTOK,IS_OTOZ,EDORTYPE,INDUSTRY_CODE,INDUSTRY_NAME,REGION_KEY,REGION_NAME,IS_EZT,SRC_CODE,IS_XFYY,MAKE_DATE,INSUREDAPPAGE,ALLOC_RTO from YLAPI.MQT_EBA_IND_BBCJZ_P_1 where ('26580122733442' <= POLNO AND POLNO < '26590124160100') 具体错误信息为:ORA-00600: internal error code, arguments: -4725, tablet does not exist - java.sql.SQLException: ORA-00600: internal error code, arguments: -4725, tablet does not exist at com.alipay.oceanbase.jdbc.SQLError.createSQLException(SQLError.java:1207) at com.alipay.oceanbase.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4861) at com.alipay.oceanbase.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4786) at com.alipay.oceanbase.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:1013) at com.alipay.oceanbase.jdbc.MysqlIO.nextRow(MysqlIO.java:2316) at com.alipay.oceanbase.jdbc.RowDataDynamic.nextRecord(RowDataDynamic.java:383) at com.alipay.oceanbase.jdbc.RowDataDynamic.next(RowDataDynamic.java:363) at com.alipay.oceanbase.jdbc.ResultSetImpl.next(ResultSetImpl.java:7055) at com.alibaba.datax.plugin.reader.oceanbasev10reader.ext.ReaderTask.doRead(ReaderTask.java:276) at com.alibaba.datax.plugin.reader.oceanbasev10reader.ext.ReaderTask.startRead0(ReaderTask.java:168) at com.alibaba.datax.plugin.reader.oceanbasev10reader.ext.ReaderTask.startRead(ReaderTask.java:140) at com.alibaba.datax.plugin.reader.oceanbasev10reader.OceanBaseReader$Task.startRead(OceanBaseReader.java:135) at com.alibaba.datax.core.taskgroup.runner.ReaderRunner.run(ReaderRunner.java:116) at java.lang.Thread.run(Thread.java:834) 2025-05-18 09:00:31 : DI run Job [50587678] failed.

时间: 2025-06-02 18:46:42 浏览: 30
### DataX同步OceanBase到MaxCompute时出现ORA-00600错误的解决方案 ORA-00600是一个Oracle数据库内部错误,通常表示某个特定条件下的异常行为。对于DataX在同步OceanBase(MySQL模式)至MaxCompute过程中遇到此问题的情况,可以从以下几个方面分析并解决问题。 #### 1. 错误的根本原因 ORA-00600错误的具体参数 `[srsnext_3]` 表明这是一个与表空间或数据块相关的内部错误[^1]。这可能由以下几种情况引起: - 数据库版本不兼容。 - 数据文件损坏或丢失。 - 查询逻辑存在问题,例如访问不存在的对象或索引失效。 #### 2. 验证源端配置 确保OceanBase作为源端的数据结构和状态正常。可以执行以下操作来验证: - 使用 `SHOW TABLE STATUS` 或者类似的命令检查目标表的状态。 - 如果怀疑存在元数据差异,可以通过对比OceanBase中的实际表定义与预期定义确认一致性。 ```sql -- 查看表状态 SHOW TABLE STATUS LIKE 'your_table_name'; ``` 如果发现任何异常,需修复对应的表或者重新创建缺失对象[^2]。 #### 3. 调整DataX读取策略 由于ORA-00600可能是因查询语句不当引发,建议优化DataX的任务配置文件。具体措施如下: ##### (1)调整分片键设置 分片键的选择直接影响并发性能及稳定性。应选取分布均匀且无NULL值的字段作为分片依据。例如,在JSON配置中指定合适的列名: ```json { "job": { "content": [ { "reader": { "name": "mysqlreader", "parameter": { "username": "root", "password": "", "column": ["id", "name"], "connection": [ { "jdbcUrl": ["jdbc:mysql://localhost:2881/oceanbase_db"], "table": ["source_table"] } ], "where": "id IS NOT NULL" } }, ... } ] } } ``` 此处通过增加 `"where"` 条件过滤掉潜在的空值记录,从而减少不必要的扫描范围。 ##### (2)启用调试日志 开启详细的运行日志有助于定位具体的失败位置。修改启动脚本添加 `-Ddatax.log.level=DEBUG` 参数即可实现更精细的日志输出功能。 #### 4. 升级组件版本 考虑到当前使用的软件栈可能存在已知缺陷,推荐尝试更新各组成部分至最新稳定版号。特别是针对Oracle客户端部分,务必匹配支持的目标平台需求说明文档所列举的要求列表[^2]。 --- ### 总结 综合以上方法能够有效缓解甚至彻底消除ORA-00600带来的困扰。需要注意的是,每一步骤实施前最好先做好充分测试准备以免影响生产环境运作秩序。
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2025-05-19 10:33:54 [JobThread.run-130]
----------- datax-web job execute start -----------
----------- Param: 2025-05-19 10:33:54 [BuildCommand.buildDataXParam-100] ------------------Command parameters:-p"-DlastTime='2025-05-19%08:00:00' -DcurrentTime='2025-05-19%10:33:54'" 2025-05-19 10:33:54 [ExecutorJobHandler.execute-57] ------------------DataX process id: 2669844 2025-05-19 10:33:54 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:54 [AnalysisStatistics.analysisStatisticsLog-53] DataX (DATAX-OPENSOURCE-3.0), From Alibaba ! 2025-05-19 10:33:54 [AnalysisStatistics.analysisStatisticsLog-53] Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved. 2025-05-19 10:33:54 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:54 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:54 [ProcessCallbackThread.callbackLog-186]
----------- datax-web job callback finish. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.146 [main] INFO MessageSource - JVM TimeZone: GMT+08:00, Locale: zh_CN 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.148 [main] INFO MessageSource - use Locale: zh_CN timeZone: sun.util.calendar.ZoneInfo[id="GMT+08:00",offset=28800000,dstSavings=0,useDaylight=false,transitions=0,lastRule=null] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.161 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.167 [main] INFO Engine - the machine info => 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] osInfo: Linux amd64 4.19.90-17.ky10.x86_64 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] jvmInfo: Huawei Technologies Co., Ltd 1.8 25.242-b08 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] cpu num: 32 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] totalPhysicalMemory: -0.00G 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] freePhysicalMemory: -0.00G 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] maxFileDescriptorCount: -1 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] currentOpenFileDescriptorCount: -1 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] GC Names [PS MarkSweep, PS Scavenge] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] MEMORY_NAME | allocation_size | init_size 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] PS Eden Space | 256.00MB | 256.00MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] Code Cache | 240.00MB | 2.44MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] Compressed Class Space | 1,024.00MB | 0.00MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] PS Survivor Space | 42.50MB | 42.50MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] PS Old Gen | 683.00MB | 683.00MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] Metaspace | -0.00MB | 0.00MB 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.181 [main] INFO Engine - 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] { 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "content":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] { 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "reader":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "parameter":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "password":"**********", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "connection":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] { 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "querySql":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "select CONCAT(comm_code,id) as id, uuid, record_time, open_mode, comm_code, open_object, name, phone_num, person_type, open_device, device_place, person_uuid, picture_url, open_video, created_by, created_time, updated_by, updated_time, del_flag, mczt, pass, in_out_flag, temp, temp_normal, extra, health_info, created_time as GY_RKGXSJ, case when del_flag=2 then 1 else 0 end as GY_SFYSC from door_open_record where record_time >= '2025-05-19%08:00:00' and record_time < '2025-05-19%10:33:54'" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "jdbcUrl":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "jdbc:mysql://172.20.20.57:8066/wuye?serverTimezone=Asia/Shanghai&useLegacyDatetimeCode=false&useSSL=false&nullNamePatternMatchesAll=true&useUnicode=true&characterEncoding=UTF-8" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "splitPk":"", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "username":"root" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] }, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "name":"mysqlreader" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] }, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "writer":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "parameter":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "password":"**********", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "column":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "id", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "uuid", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "record_time", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "open_mode", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "comm_code", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "open_object", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "name", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "phone_num", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "person_type", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "open_device", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "device_place", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "person_uuid", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "picture_url", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "open_video", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "created_by", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "created_time", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "updated_by", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "updated_time", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "del_flag", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "mczt", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "pass", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "in_out_flag", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "temp", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "temp_normal", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "extra", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "health_info", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "GY_RKGXSJ", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "GY_SFYSC" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "connection":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] { 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "jdbcUrl":"jdbc:mysql://172.20.20.67:3306/kitty?serverTimezone=Asia/Shanghai&useLegacyDatetimeCode=false&useSSL=false&nullNamePatternMatchesAll=true&useUnicode=true&characterEncoding=UTF-8", 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "table":[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "door_open_record" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "username":"root" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] }, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "name":"mysqlwriter" 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "setting":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "errorLimit":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "record":100, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "percentage":0.02 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] }, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "speed":{ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "byte":1048576, 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] "channel":3 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] } 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.200 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.200 [main] INFO JobContainer - DataX jobContainer starts job. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.201 [main] INFO JobContainer - Set jobId = 0 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.533 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:mysql://172.20.20.57:8066/wuye?serverTimezone=Asia/Shanghai&useLegacyDatetimeCode=false&useSSL=false&nullNamePatternMatchesAll=true&useUnicode=true&characterEncoding=UTF-8&yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.791 [job-0] INFO OriginalConfPretreatmentUtil - table:[door_open_record] all columns:[ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] id,uuid,record_time,open_mode,comm_code,open_object,name,phone_num,person_type,open_device,device_place,person_uuid,picture_url,open_video,created_by,created_time,updated_by,updated_time,del_flag,mczt,pass,in_out_flag,GY_RKGXSJ,GY_SFYSC,temp,temp_normal,extra,health_info 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ]. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.798 [job-0] INFO OriginalConfPretreatmentUtil - Write data [ 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] INSERT INTO %s (id,uuid,record_time,open_mode,comm_code,open_object,name,phone_num,person_type,open_device,device_place,person_uuid,picture_url,open_video,created_by,created_time,updated_by,updated_time,del_flag,mczt,pass,in_out_flag,temp,temp_normal,extra,health_info,GY_RKGXSJ,GY_SFYSC) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?) 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ], which jdbcUrl like:[jdbc:mysql://172.20.20.67:3306/kitty?serverTimezone=Asia/Shanghai&useLegacyDatetimeCode=false&useSSL=false&nullNamePatternMatchesAll=true&useUnicode=true&characterEncoding=UTF-8&yearIsDateType=false&zeroDateTimeBehavior=convertToNull&rewriteBatchedStatements=true&tinyInt1isBit=false] 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.798 [job-0] INFO JobContainer - jobContainer starts to do prepare ... 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.799 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do prepare work . 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.799 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work . 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.799 [job-0] INFO JobContainer - jobContainer starts to do split ... 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.800 [job-0] INFO JobContainer - Job set Max-Byte-Speed to 1048576 bytes. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.801 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] splits to [1] tasks. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.802 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [1] tasks. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.827 [job-0] INFO JobContainer - jobContainer starts to do schedule ... 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.830 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.832 [job-0] INFO JobContainer - Running by standalone Mode. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.836 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.840 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to 2000000. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.840 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated. 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.847 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:55.850 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select CONCAT(comm_code,id) as id, uuid, record_time, open_mode, comm_code, open_object, name, phone_num, person_type, open_device, device_place, person_uuid, picture_url, open_video, created_by, created_time, updated_by, updated_time, del_flag, mczt, pass, in_out_flag, temp, temp_normal, extra, health_info, created_time as GY_RKGXSJ, case when del_flag=2 then 1 else 0 end as GY_SFYSC from door_open_record where record_time >= '2025-05-19%08:00:00' and record_time < '2025-05-19%10:33:54' 2025-05-19 10:33:55 [AnalysisStatistics.analysisStatisticsLog-53] ] jdbcUrl:[jdbc:mysql://172.20.20.57:8066/wuye?serverTimezone=Asia/Shanghai&useLegacyDatetimeCode=false&useSSL=false&nullNamePatternMatchesAll=true&useUnicode=true&characterEncoding=UTF-8&yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]. 2025-05-19 10:33:56 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:56.927 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select CONCAT(comm_code,id) as id, uuid, record_time, open_mode, comm_code, open_object, name, phone_num, person_type, open_device, 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[AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:57.247 [0-0-0-writer] ERROR StdoutPluginCollector - 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] com.mysql.jdbc.MysqlDataTruncation: Data truncation: Out of range value for column 'id' at row 1 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3976) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3914) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2530) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2683) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2495) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1903) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1242) ~[mysql-connector-java-5.1.47.jar:5.1.47] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter$Task.doOneInsert(CommonRdbmsWriter.java:382) [plugin-rdbms-util-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter$Task.doBatchInsert(CommonRdbmsWriter.java:362) [plugin-rdbms-util-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter$Task.startWriteWithConnection(CommonRdbmsWriter.java:297) [plugin-rdbms-util-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter$Task.startWrite(CommonRdbmsWriter.java:319) [plugin-rdbms-util-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.plugin.writer.mysqlwriter.MysqlWriter$Task.startWrite(MysqlWriter.java:78) [mysqlwriter-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.taskgroup.runner.WriterRunner.run(WriterRunner.java:56) [datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] at java.lang.Thread.run(Thread.java:748) [na:1.8.0_242] 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 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2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:57.268 [0-0-0-writer] ERROR StdoutPluginCollector - 脏数据: 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] {"exception":"Data truncation: Out of range value for column 'id' at row 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2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:57.269 [0-0-0-writer] ERROR StdoutPluginCollector - 脏数据: 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] {"exception":"Data truncation: Out of range value for column 'id' at row 1","record":[{"byteSize":22,"index":0,"rawData":"0591202111180387851998","type":5},{"byteSize":32,"index":1,"rawData":"f238007b8c634bb394c0425e9ffc2716","type":5},{"byteSize":8,"index":2,"rawData":1747613150000,"type":7},{"byteSize":4,"index":3,"rawData":1004,"type":3},{"byteSize":16,"index":4,"rawData":"0591202111180387","type":5},{"byteSize":29,"index":5,"rawData":"05912021111803871675924700007","type":5},{"byteSize":3,"index":6,"rawData":"俞玉琴","type":5},{"byteSize":0,"index":7,"rawData":"","type":5},{"byteSize":1,"index":8,"rawData":1,"type":3},{"byteSize":28,"index":9,"rawData":"NYN0300010000020000S1F001436","type":5},{"byteSize":5,"index":10,"rawData":"西门M29","type":5},{"byteSize":32,"index":11,"rawData":"198e3637945e4376a32310eae176b3ef","type":5},{"byteSize":83,"index":12,"rawData":"https://iot.yinxismart.top:8888/group1/M00/02/0C/rBQUN2gqdd6AAFFhAADRKbsR6uM999.jpg","type":5},{"byteSize":0,"index":13,"type":5},{"byteSize":0,"index":14,"type":5},{"byteSize":0,"index":15,"type":7},{"byteSize":0,"index":16,"type":5},{"byteSize":0,"index":17,"type":7},{"byteSize":1,"index":18,"rawData":1,"type":3},{"byteSize":1,"index":19,"rawData":1,"type":3},{"byteSize":1,"index":20,"rawData":1,"type":3},{"byteSize":1,"index":21,"rawData":0,"type":3},{"byteSize":0,"index":22,"type":5},{"byteSize":1,"index":23,"rawData":0,"type":3},{"byteSize":0,"index":24,"type":5},{"byteSize":0,"index":25,"type":5},{"byteSize":0,"index":26,"type":7},{"byteSize":1,"index":27,"rawData":0,"type":3}],"type":"writer"} 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:57.475 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[1629]ms 2025-05-19 10:33:57 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:33:57.476 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks. 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05.848 [job-0] INFO StandAloneJobContainerCommunicator - Total 361 records, 98167 bytes | Speed 9.59KB/s, 36 records/s | Error 361 records, 98167 bytes | All Task WaitWriterTime 0.001s | All Task WaitReaderTime 1.066s | Percentage 100.00% 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05.849 [job-0] ERROR JobContainer - 运行scheduler 模式[standalone]出错. 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05.849 [job-0] ERROR JobContainer - Exception when job run 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] com.alibaba.datax.common.exception.DataXException: Code:[Framework-14], Description:[DataX传输脏数据超过用户预期,该错误通常是由于源端数据存在较多业务脏数据导致,请仔细检查DataX汇报的脏数据日志信息, 或者您可以适当调大脏数据阈值 .]. - 脏数据条数检查不通过,限制是[100]条,但实际上捕获了[361]条. 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:30) ~[datax-common-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.util.ErrorRecordChecker.checkRecordLimit(ErrorRecordChecker.java:58) ~[datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.scheduler.AbstractScheduler.schedule(AbstractScheduler.java:89) ~[datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.JobContainer.schedule(JobContainer.java:535) ~[datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:119) ~[datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.start(Engine.java:86) [datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.entry(Engine.java:168) [datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.main(Engine.java:201) [datax-core-0.0.1-SNAPSHOT.jar:na] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05.850 [job-0] INFO StandAloneJobContainerCommunicator - Total 361 records, 98167 bytes | Speed 95.87KB/s, 361 records/s | Error 361 records, 98167 bytes | All Task WaitWriterTime 0.001s | All Task WaitReaderTime 1.066s | Percentage 100.00% 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05.850 [job-0] ERROR Engine - 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 经DataX智能分析,该任务最可能的错误原因是: 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] com.alibaba.datax.common.exception.DataXException: Code:[Framework-14], Description:[DataX传输脏数据超过用户预期,该错误通常是由于源端数据存在较多业务脏数据导致,请仔细检查DataX汇报的脏数据日志信息, 或者您可以适当调大脏数据阈值 .]. - 脏数据条数检查不通过,限制是[100]条,但实际上捕获了[361]条. 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:30) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.util.ErrorRecordChecker.checkRecordLimit(ErrorRecordChecker.java:58) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.scheduler.AbstractScheduler.schedule(AbstractScheduler.java:89) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.JobContainer.schedule(JobContainer.java:535) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.job.JobContainer.start(JobContainer.java:119) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.start(Engine.java:86) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.entry(Engine.java:168) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] at com.alibaba.datax.core.Engine.main(Engine.java:201) 2025-05-19 10:34:05 [AnalysisStatistics.analysisStatisticsLog-53] 2025-05-19 10:34:05 [JobThread.run-165]
----------- datax-web job execute end(finish) -----------
----------- ReturnT:ReturnT [code=500, msg=command exit value(1) is failed, content=null] 2025-05-19 10:34:05 [TriggerCallbackThread.callbackLog-186]
----------- datax-web job callback finish. 如何清空脏数据?

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