I am using CDH 5.3.0 I do not have too much more in the log : …. 15/03/02 15:20:13 INFO mapreduce.Job: The url to track the job: http://dc50-dev-bd15:8088/proxy/application_1425226676791_0083/ 15/03/02 15:20:13 INFO mapreduce.Job: Running job: job_1425226676791_0083 15/03/02 15:21:00 INFO mapreduce.Job: Job job_1425226676791_0083 running in uber mode : false 15/03/02 15:21:00 INFO mapreduce.Job: map 0% reduce 0% 15/03/02 15:21:24 INFO mapreduce.Job: Task Id : attempt_1425226676791_0083_m_000000_0, Status : FAILED Error: org.joda.time.format.DateTimeFormatter.withZoneUTC()Lorg/joda/time/format/DateTimeFormatter; 15/03/02 15:21:35 INFO client.HConnectionManager$HConnectionImplementation: Closing zookeeper sessionid=0x24bd5223c471259 15/03/02 15:21:35 INFO zookeeper.ZooKeeper: Session: 0x24bd5223c471259 closed 15/03/02 15:21:35 INFO zookeeper.ClientCnxn: EventThread shut down
From: Gabriel Reid [mailto:[email protected]] Sent: Monday, March 2, 2015 3:13 PM To: [email protected] Subject: Re: Error: org.joda.time.format.DateTimeFormatter.withZoneUTC()Lorg/joda/time/format/DateTimeFormatter Is there more of a stack trace you could post around the error? I'm guessing that this is something along the lines of NoSuchMethodException. Could you also post some info on your environment? Which version of Hadoop and HBase are you using? Is there an alternate version of joda-time on your classpath somewhere (e.g. in your Hadoop lib directory)? On Mon, Mar 2, 2015 at 2:09 PM Bulvik, Noam <[email protected]<mailto:[email protected]>> wrote: When using CSV bulk loader with dates I am getting this error Error: org.joda.time.format.DateTimeFormatter.withZoneUTC()Lorg/joda/time/format/DateTimeFormatter Table DDL: create table TS_TEST ( ID integer not null, REC_TIMESTAMP timestamp not null, REC_TIMESTAMP_STR varchar not null CONSTRAINT TS_TEST_PK PRIMARY KEY (ID,REC_TIMESTAMP,REC_TIMESTAMP_STR) ) COMPRESSION='SNAPPY'; Input File Data: 1,2015-03-01 00:00:00.111,2015-03-01 00:00:00.111 2,2015-03-01 01:00:00.222,2015-03-01 01:00:00.222 3,2015-03-01 02:00:00.333,2015-03-01 02:00:00.333 4,2015-03-01 03:00:00.444,2015-03-01 03:00:00.444 Information in this e-mail and its attachments is confidential and privileged under the TEOCO confidentiality terms that can be reviewed here<http://www.teoco.com/email-disclaimer>.
