使用sqoop从mariadb里面导数据到hive报错

RT
执行代码如下

sqoop import --connect jdbc:mysql://localhost:3306/test --username root --password 1 --table exit_tran --hive-import --hive-table exit_tran -m 1 --hive-overwrite

导出数据总是报错

20/03/03 17:35:40 INFO mapreduce.Job: Task Id : attempt_1583223426401_0007_m_000000_2, Status : FAILED
Error: java.io.IOException: SQLException in nextKeyValue
    at org.apache.sqoop.mapreduce.db.DBRecordReader.nextKeyValue(DBRecordReader.java:277)
    at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:556)
    at org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80)
    at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91)
    at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
    at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
    at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
    at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762)
    at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.sql.SQLException: HOUR_OF_DAY: 2 -> 3
    at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:129)
    at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:97)
    at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:89)
    at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:63)
    at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:73)
    at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:85)
    at com.mysql.cj.jdbc.result.ResultSetImpl.getTimestamp(ResultSetImpl.java:903)
    at org.apache.sqoop.lib.JdbcWritableBridge.readTimestamp(JdbcWritableBridge.java:111)
    at com.cloudera.sqoop.lib.JdbcWritableBridge.readTimestamp(JdbcWritableBridge.java:83)
    at exit_tran.readFields(exit_tran.java:229)
    at org.apache.sqoop.mapreduce.db.DBRecordReader.nextKeyValue(DBRecordReader.java:244)
    ... 12 more
Caused by: com.mysql.cj.exceptions.WrongArgumentException: HOUR_OF_DAY: 2 -> 3
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
    at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:61)
    at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:105)
    at com.mysql.cj.result.SqlTimestampValueFactory.localCreateFromTimestamp(SqlTimestampValueFactory.java:112)
    at com.mysql.cj.result.SqlTimestampValueFactory.localCreateFromTimestamp(SqlTimestampValueFactory.java:50)
    at com.mysql.cj.result.AbstractDateTimeValueFactory.createFromTimestamp(AbstractDateTimeValueFactory.java:87)
    at com.mysql.cj.protocol.a.MysqlTextValueDecoder.decodeTimestamp(MysqlTextValueDecoder.java:79)
    at com.mysql.cj.protocol.result.AbstractResultsetRow.decodeAndCreateReturnValue(AbstractResultsetRow.java:87)
    at com.mysql.cj.protocol.result.AbstractResultsetRow.getValueFromBytes(AbstractResultsetRow.java:241)
    at com.mysql.cj.protocol.a.result.TextBufferRow.getValue(TextBufferRow.java:132)
    ... 17 more
Caused by: java.lang.IllegalArgumentException: HOUR_OF_DAY: 2 -> 3
    at java.util.GregorianCalendar.computeTime(GregorianCalendar.java:2829)
    at java.util.Calendar.updateTime(Calendar.java:3393)
    at java.util.Calendar.getTimeInMillis(Calendar.java:1782)
    at com.mysql.cj.result.SqlTimestampValueFactory.localCreateFromTimestamp(SqlTimestampValueFactory.java:108)
    ... 23 more

Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143

求指导~

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Dump of the process-tree for container_1560238973821_0003_01_000004 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 22910 22666 22666 22666 (java) 302 45 2558558208 31405 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000004/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000004 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_0 4 |- 22666 22656 22666 22666 (bash) 0 0 14622720 634 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000004/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000004 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_0 4 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000004/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000004/stderr [2019-06-11 16:05:40.618]Container killed on request. Exit code is 143 [2019-06-11 16:05:40.619]Container exited with a non-zero exit code 143. 2019-06-11 16:05:42,479 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000001_0, Status : FAILED [2019-06-11 16:05:39.558]Container [pid=22651,containerID=container_1560238973821_0003_01_000003] is running 320690688B beyond the 'VIRTUAL' memory limit. Current usage: 127.5 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000003 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 22955 22651 22651 22651 (java) 296 49 2560925696 32025 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000003/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000003 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_0 3 |- 22651 22649 22651 22651 (bash) 0 0 14622720 627 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000003/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000003 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_0 3 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000003/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000003/stderr [2019-06-11 16:05:40.618]Container killed on request. Exit code is 143 [2019-06-11 16:05:40.621]Container exited with a non-zero exit code 143. 2019-06-11 16:05:42,480 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000003_0, Status : FAILED [2019-06-11 16:05:38.617]Container [pid=22749,containerID=container_1560238973821_0003_01_000005] is running 320125440B beyond the 'VIRTUAL' memory limit. Current usage: 126.4 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000005 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 22987 22749 22749 22749 (java) 324 37 2560360448 31709 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000005/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000005 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_0 5 |- 22749 22720 22749 22749 (bash) 0 1 14622720 640 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000005/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000005 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_0 5 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000005/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000005/stderr [2019-06-11 16:05:40.620]Container killed on request. Exit code is 143 [2019-06-11 16:05:40.622]Container exited with a non-zero exit code 143. 2019-06-11 16:05:42,482 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000000_0, Status : FAILED [2019-06-11 16:05:39.558]Container [pid=22675,containerID=container_1560238973821_0003_01_000002] is running 319543808B beyond the 'VIRTUAL' memory limit. Current usage: 125.4 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000002 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 22937 22675 22675 22675 (java) 316 38 2559778816 31497 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000002/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000002 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_0 2 |- 22675 22670 22675 22675 (bash) 0 0 14622720 612 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000002/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000002 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_0 2 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000002/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000002/stderr [2019-06-11 16:05:40.619]Container killed on request. Exit code is 143 [2019-06-11 16:05:40.622]Container exited with a non-zero exit code 143. 2019-06-11 16:05:52,546 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000002_1, Status : FAILED [2019-06-11 16:05:50.910]Container [pid=23116,containerID=container_1560238973821_0003_01_000006] is running 282286592B beyond the 'VIRTUAL' memory limit. Current usage: 68.6 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000006 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23194 23116 23116 23116 (java) 85 29 2522521600 16852 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000006/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000006 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_1 6 |- 23116 23115 23116 23116 (bash) 0 1 14622720 710 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000006/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000006 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_1 6 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000006/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000006/stderr [2019-06-11 16:05:50.970]Container killed on request. Exit code is 143 [2019-06-11 16:05:51.012]Container exited with a non-zero exit code 143. 2019-06-11 16:05:55,561 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000000_1, Status : FAILED [2019-06-11 16:05:54.193]Container [pid=23396,containerID=container_1560238973821_0003_01_000009] is running 313866752B beyond the 'VIRTUAL' memory limit. Current usage: 111.1 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000009 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23396 23394 23396 23396 (bash) 0 1 14622720 710 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000009/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000009 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_1 9 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000009/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000009/stderr |- 23473 23396 23396 23396 (java) 245 40 2554101760 27743 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000009/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000009 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_1 9 [2019-06-11 16:05:54.228]Container killed on request. Exit code is 143 [2019-06-11 16:05:54.263]Container exited with a non-zero exit code 143. 2019-06-11 16:05:55,563 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000003_1, Status : FAILED [2019-06-11 16:05:54.332]Container [pid=23304,containerID=container_1560238973821_0003_01_000008] is running 314042880B beyond the 'VIRTUAL' memory limit. Current usage: 113.8 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000008 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23381 23304 23304 23304 (java) 265 51 2554277888 28423 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000008/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000008 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_1 8 |- 23304 23302 23304 23304 (bash) 0 1 14622720 720 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000008/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000008 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_1 8 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000008/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000008/stderr [2019-06-11 16:05:54.353]Container killed on request. Exit code is 143 [2019-06-11 16:05:54.381]Container exited with a non-zero exit code 143. 2019-06-11 16:05:55,565 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000001_1, Status : FAILED [2019-06-11 16:05:54.408]Container [pid=23200,containerID=container_1560238973821_0003_01_000007] is running 314497536B beyond the 'VIRTUAL' memory limit. Current usage: 115.5 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000007 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23200 23198 23200 23200 (bash) 0 1 14622720 711 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000007/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000007 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_1 7 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000007/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000007/stderr |- 23277 23200 23200 23200 (java) 257 60 2554732544 28852 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000007/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000007 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_1 7 [2019-06-11 16:05:54.463]Container killed on request. Exit code is 143 [2019-06-11 16:05:54.482]Container exited with a non-zero exit code 143. 2019-06-11 16:06:01,619 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000002_2, Status : FAILED [2019-06-11 16:06:00.584]Container [pid=23515,containerID=container_1560238973821_0003_01_000011] is running 337451520B beyond the 'VIRTUAL' memory limit. Current usage: 203.4 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000011 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23515 23513 23515 23515 (bash) 0 1 14622720 712 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000011/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000011 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_2 11 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000011/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000011/stderr |- 23592 23515 23515 23515 (java) 456 89 2577686528 51352 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000011/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000011 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000002_2 11 [2019-06-11 16:06:00.602]Container killed on request. Exit code is 143 [2019-06-11 16:06:00.659]Container exited with a non-zero exit code 143. 2019-06-11 16:06:05,651 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000000_2, Status : FAILED [2019-06-11 16:06:03.816]Container [pid=23651,containerID=container_1560238973821_0003_01_000012] is running 331475456B beyond the 'VIRTUAL' memory limit. Current usage: 173.7 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000012 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23728 23651 23651 23651 (java) 418 39 2571710464 43768 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000012/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000012 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_2 12 |- 23651 23649 23651 23651 (bash) 0 1 14622720 707 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000012/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000012 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000000_2 12 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000012/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000012/stderr [2019-06-11 16:06:03.981]Container killed on request. Exit code is 143 [2019-06-11 16:06:03.986]Container exited with a non-zero exit code 143. 2019-06-11 16:06:08,677 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000001_2, Status : FAILED [2019-06-11 16:06:07.127]Container [pid=23848,containerID=container_1560238973821_0003_01_000014] is running 335940096B beyond the 'VIRTUAL' memory limit. Current usage: 198.2 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000014 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23848 23847 23848 23848 (bash) 0 1 14622720 714 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000014/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000014 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_2 14 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000014/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000014/stderr |- 23926 23848 23848 23848 (java) 408 59 2576175104 50032 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000014/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000014 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000001_2 14 [2019-06-11 16:06:07.186]Container killed on request. Exit code is 143 [2019-06-11 16:06:07.201]Container exited with a non-zero exit code 143. 2019-06-11 16:06:08,678 INFO mapreduce.Job: Task Id : attempt_1560238973821_0003_m_000003_2, Status : FAILED [2019-06-11 16:06:07.227]Container [pid=23751,containerID=container_1560238973821_0003_01_000013] is running 337357312B beyond the 'VIRTUAL' memory limit. Current usage: 192.7 MB of 1 GB physical memory used; 2.4 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1560238973821_0003_01_000013 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 23829 23751 23751 23751 (java) 463 52 2577592320 48632 /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000013/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000013 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_2 13 |- 23751 23749 23751 23751 (bash) 0 1 14622720 706 /bin/bash -c /opt/java/jdk1.8.0_181/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx820m -Djava.io.tmpdir=/bigdata/hadoop-3.1.1/tmp/nm-local-dir/usercache/liuyanbing/appcache/application_1560238973821_0003/container_1560238973821_0003_01_000013/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000013 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Dhadoop.root.logfile=syslog org.apache.hadoop.mapred.YarnChild 127.0.1.1 43655 attempt_1560238973821_0003_m_000003_2 13 1>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000013/stdout 2>/bigdata/hadoop-3.1.1/logs/userlogs/application_1560238973821_0003/container_1560238973821_0003_01_000013/stderr [2019-06-11 16:06:07.280]Container killed on request. Exit code is 143 [2019-06-11 16:06:07.360]Container exited with a non-zero exit code 143. 2019-06-11 16:06:12,703 INFO mapreduce.Job: map 100% reduce 0% 2019-06-11 16:06:12,711 INFO mapreduce.Job: Job job_1560238973821_0003 failed with state FAILED due to: Task failed task_1560238973821_0003_m_000002 Job failed as tasks failed. failedMaps:1 failedReduces:0 killedMaps:0 killedReduces: 0 2019-06-11 16:06:12,979 INFO mapreduce.Job: Counters: 13 Job Counters Failed map tasks=13 Killed map tasks=3 Launched map tasks=16 Other local map tasks=12 Data-local map tasks=4 Total time spent by all maps in occupied slots (ms)=124936 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=124936 Total vcore-milliseconds taken by all map tasks=124936 Total megabyte-milliseconds taken by all map tasks=127934464 Map-Reduce Framework CPU time spent (ms)=0 Physical memory (bytes) snapshot=0 Virtual memory (bytes) snapshot=0 2019-06-11 16:06:12,986 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead 2019-06-11 16:06:12,990 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 61.7517 seconds (0 bytes/sec) 2019-06-11 16:06:12,999 INFO mapreduce.ExportJobBase: Exported 0 records. 2019-06-11 16:06:12,999 ERROR tool.ExportTool: Error during export: Export job failed! 新手找不到错误 求大神班帮我看看

求助sqoop从hive导出数据到oracle,目标表字段有date类型sqoop失败

sqoop语句为 sqoop export \ --connect jdbc:oracle:thin:@(description=(address=(protocol=tcp)(port=1521)(host=172.18.50.5))(connect_data=(service_name=rac))) \ --username dsp \ --password rac \ --table DSP.S_F_TKFTIS_ORDER_HIS \ --export-dir /user/hive2/warehouse/dml.db/dml_s_f_tkftis_order_his \ --columns L_SERIALNO,C_FLAG,C_ACCOTYPE,C_ACCO,C_TYPE,L_SERVICEID,C_MODE,D_DATE,C_ISACCO,C_FROM,C_USERCODE,D_SERVICEEND,D_SERVICESTART \ --input-fields-terminated-by '\001' \ --input-null-string '\\N' \ --input-null-non-string '\\N' 目标表结构 create table S_F_TKFTIS_ORDER_HIS ( l_serialno VARCHAR2(40), c_flag CHAR(1), c_accotype CHAR(1), c_acco VARCHAR2(40), c_type CHAR(1), l_serviceid VARCHAR2(40), c_mode CHAR(1), d_date VARCHAR2(40), c_isacco CHAR(1), c_from CHAR(1), c_usercode VARCHAR2(16), d_serviceend VARCHAR2(40), d_servicestart VARCHAR2(40) ) tablespace DSP_DATA pctfree 10 initrans 1 maxtrans 255 storage ( initial 64K next 1M minextents 1 maxextents unlimited ); 如果我把oracle目标表字段都改为varchar则可以正常导入,如果字段类型有date则不成功,求大神帮忙看看什么原因。

通过sqoop, load数据到hive,sqoop如何知道hive的warehouse

我创建了自己的hive-site.xml文件,在里边指定了hive的warehouse,现在的问题是:我通过sqoop,把数据从sqlserv导入到hive的时候,我如何让sqoop知道我用的是我自己的hive-site.xml文件,从而用自己配置的warehouse。我们不希望用默认的hive warehouse. 各位大神帮帮忙啊。

为什么我用sqoop导数据从hive到mysql会乱序

在hive里面的数据结构是这样 ![图片说明](https://img-ask.csdn.net/upload/201909/28/1569660068_148900.png) 但是到了mysql中就是这样了。 ![图片说明](https://img-ask.csdn.net/upload/201909/28/1569660119_601059.png) 字段完全乱了。

sqoop从postgre全量抽取数据到hive出现cannot resolve sql type for 1111

最近刚接触sqoop,在使用时出现问题,请问大神们该问题如何解决? 要抽取的postgre表中的extra存在json类型的数据,抽取时出现cannot resolve sql type for 1111 和 no java type for sql type for column extra错误,根据https://blog.csdn.net/Post_Yuan/article/details/79799980和https://blog.csdn.net/lookqlp/article/details/52096193看了两篇文章,对sqoop语句做了如下修改: 最开始没有加--map-column-hive Extra=String \和--map-column-java Extra=String \的sqoop语句如下 sqoop import \ --connect jdbc串\ --username 用户名 \ --password 密码\ --table 表名 \ --null-string '\\N' \ --null-non-string '\\N' \ --hive-overwrite \ --hcatalog-database hive数据库名\ --hcatalog-table hive中创建好的表名 \ --hcatalog-partition-keys dt \ --hcatalog-partition-values 20180913 \ --as-parquetfile \ -m 1 此时报错cannot resolve sql type for 1111 和 no java type for sql type for column extra 加上--map-column-hive Extra=String \和--map-column-java Extra=String \ sqoop import \ --connect jdbc串\ --username 用户名 \ --password 密码\ --table 表名 \ --null-string '\\N' \ --null-non-string '\\N' \ --map-column-hive Extra=String \ --map-column-java Extra=String \ --hive-overwrite \ --hcatalog-database hive数据库名\ --hcatalog-table hive中创建好的表名 \ --hcatalog-partition-keys dt \ --hcatalog-partition-values 20180913 \ --as-parquetfile \ -m 1 此时报错The connection attempt failed. connect timed out Closed a connection to metastore, current connections: 0

sqoop将mysql表数据导入hive报错

ERROR manager.SqlManager: Error reading from database: java.sql.SQLException: Streaming result set com.mysql.jdbc.RowDataDynamic@1e730495 is still active. No statements may be issued when any streaming result sets are open and in use on a given connection. Ensure that you have called .close() on any active streaming result sets before attempting more queries. java.sql.SQLException: Streaming result set com.mysql.jdbc.RowDataDynamic@1e730495 is still active. No statements may be issued when any streaming result sets are open and in use on a given connection. Ensure that you have called .close() on any active streaming result sets before attempting more queries.

sqoop从hdfs导入数据到mysql疑问

需求:需要实现从sqlserver库中导入数据到mysql中,但实际上只导入了1条记录就结束了(实际数据600+条)。 查看了原因: 应该就是行分隔符引起了 只导入了一条就结束了 。 代码: 1、通过sqoop脚本将sqlserver导入到hdfs中: sqoop import \ --connect "jdbc:sqlserver://192.168.1.130:1433;database=测试库" \ --username sa \ --password 123456 \ --table=t_factfoud \ --target-dir /tmp/sqoop_data/900804ebea3d4ec79a036604ed3c93a0_2014_yw/t_factfoud9 \ --fields-terminated-by '\t' --null-string '\\N' --null-non-string '\\N' --lines-terminated-by '\001' \ --split-by billid -m 1 2、通过sqoop脚本将hdfs数据导出到mysql中: sqoop export \ --connect 'jdbc:mysql://192.168.1.38:3306/xiayi?useUnicode=true&characterEncoding=utf-8' \ --username root \ --password 123456 \ --table t_factfoud \ --export-dir /tmp/sqoop_data/900804ebea3d4ec79a036604ed3c93a0_2014_yw/t_factfoud9 \ -m 1 \ --fields-terminated-by '\t' \ --null-string '\\N' --null-non-string '\\N' \ --lines-terminated-by '\001' 现在执行结果: 1、sqlserver库中 表 t_factfoud 中有 600 条记录,已正确到到hdfs中 。 2、从hdfs导出到mysql,只正确导入了一条,就结束了。 效果图如下: ![图片说明](https://img-ask.csdn.net/upload/201805/31/1527756119_961528.jpg)

使用sqoop2把hive表导出道pgsql时报错,数据只导出了一部分,如何解决?

18/10/11 16:30:39 INFO mapreduce.Job: Running job: job_1539239753824_0018 18/10/11 16:30:45 INFO mapreduce.Job: Job job_1539239753824_0018 running in uber mode : false 18/10/11 16:30:45 INFO mapreduce.Job: map 0% reduce 0% 18/10/11 16:30:56 INFO mapreduce.Job: map 19% reduce 0% 18/10/11 16:30:59 INFO mapreduce.Job: map 27% reduce 0% 18/10/11 16:31:01 INFO mapreduce.Job: map 100% reduce 0% 18/10/11 16:31:02 INFO mapreduce.Job: Job job_1539239753824_0018 failed with state FAILED due to: Task failed task_1539239753824_0018_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 18/10/11 16:31:02 INFO mapreduce.Job: Counters: 8 Job Counters Failed map tasks=1 Launched map tasks=1 Rack-local map tasks=1 Total time spent by all maps in occupied slots (ms)=13204 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=13204 Total vcore-milliseconds taken by all map tasks=13204 Total megabyte-milliseconds taken by all map tasks=13520896 18/10/11 16:31:02 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead 18/10/11 16:31:02 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 24.5676 seconds (0 bytes/sec) 18/10/11 16:31:02 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead 18/10/11 16:31:02 INFO mapreduce.ExportJobBase: Exported 0 records. 18/10/11 16:31:02 ERROR mapreduce.ExportJobBase: Export job failed! 18/10/11 16:31:02 ERROR tool.ExportTool: Error during export: Export job failed! at org.apache.sqoop.mapreduce.ExportJobBase.runExport(ExportJobBase.java:445) at org.apache.sqoop.manager.SqlManager.exportTable(SqlManager.java:931) at org.apache.sqoop.tool.ExportTool.exportTable(ExportTool.java:80) at org.apache.sqoop.tool.ExportTool.run(ExportTool.java:99) at org.apache.sqoop.Sqoop.run(Sqoop.java:147) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70) at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243) at org.apache.sqoop.Sqoop.main(Sqoop.java:252)

通过sqoop导出hive ORC格式表,是否可以不用启动Hive Metastore?

kerberos环境中,通过sqoop+hcatlog导出hive ORC格式表,是否可以不用启动Hive Metastore? 通过测试发现:在没有kerberos安全认证的环境下,通过sqoop导出ORC格式的数据时不用启动Hive Metastore。 但是在kerberos安全认证的环境下,通过sqoop导出hdfs上的ORC格式的数据就必须启动Hive Metastore。 有没有一种解决方法,在kerberos安全认证环境下导出ORC数据不用启动Hive Metastore?

sqoop,MySQL,hdfs数据传输报错

使用sqoop进行数据传输,windows-mysql传输数据到虚拟机里面的hdfs,报错The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server. sqoop进行传输的时候没有要求sqoop的安装和MySQL的安装都在一个系统中吧?使用sqoop要求本机和虚拟机必须ping通吗?我的网络链接方式用的hostonly。

sqoop1增量导入可以直接导入到hive 或 hbase中吗

sqoop1增量导入可以直接导入到hive 或 hbase中吗

进入到hive/bin目录后 ./hive 报错

hadoop@ubuntu:~/hive/bin$ ./hive Logging initialized using configuration in jar:file:/home/hadoop/hive/lib/hive-common-2.3.7.jar!/hive-log4j2.properties Async: true WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/home/hadoop/hadoop/share/hadoop/common/lib/hadoop-auth-2.7.7.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release Exception in thread "main" java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D at org.apache.hadoop.fs.Path.initialize(Path.java:205) at org.apache.hadoop.fs.Path.<init>(Path.java:171) at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:663) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:586) at org.apache.hadoop.hive.ql.session.SessionState.beginStart(SessionState.java:553) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:750) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:686) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:564) at org.apache.hadoop.util.RunJar.run(RunJar.java:226) at org.apache.hadoop.util.RunJar.main(RunJar.java:141) Caused by: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D at java.base/java.net.URI.checkPath(URI.java:1965) at java.base/java.net.URI.<init>(URI.java:780) at org.apache.hadoop.fs.Path.initialize(Path.java:202) ... 12 more ``` ![图片说明](https://img-ask.csdn.net/upload/202006/08/1591597314_361040.png) ```

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快速入门Android开发 视频 教程 android studio

这是一门快速入门Android开发课程,顾名思义是让大家能快速入门Android开发。 学完能让你学会如下知识点: Android的发展历程 搭建Java开发环境 搭建Android开发环境 Android Studio基础使用方法 Android Studio创建项目 项目运行到模拟器 项目运行到真实手机 Android中常用控件 排查开发中的错误 Android中请求网络 常用Android开发命令 快速入门Gradle构建系统 项目实战:看美图 常用Android Studio使用技巧 项目签名打包 如何上架市场

机器学习初学者必会的案例精讲

通过六个实际的编码项目,带领同学入门人工智能。这些项目涉及机器学习(回归,分类,聚类),深度学习(神经网络),底层数学算法,Weka数据挖掘,利用Git开源项目实战等。

4小时玩转微信小程序——基础入门与微信支付实战

这是一个门针对零基础学员学习微信小程序开发的视频教学课程。课程采用腾讯官方文档作为教程的唯一技术资料来源。杜绝网络上质量良莠不齐的资料给学员学习带来的障碍。 视频课程按照开发工具的下载、安装、使用、程序结构、视图层、逻辑层、微信小程序等几个部分组织课程,详细讲解整个小程序的开发过程

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