出口從hdsf和雙精度浮點數到MySQL我使用Hadoop版本1.2.1和1.4.4 sqoop問題使用sqoop
我是新來的Hadoop/sqoop時遇到的一個問題。我有數據在hdfs中,我想導出到MySQL但導出保持失敗。 我所用的語句是:
sqoop出口--connect的jdbc:mysql的:// {IP地址}/{}數據庫用戶名--username -P --table {}表名--export-dir的{出口DIR} --input場終止-用 '' --lines終止的,由 '\ n' --verbose
我得到的錯誤是:
14/02/28 10:12:40 INFO mapred.JobClient: Running job: job_201402040959_0234
14/02/28 10:12:41 INFO mapred.JobClient: map 0% reduce 0%
14/02/28 10:12:51 INFO mapred.JobClient: map 50% reduce 0%
14/02/28 10:22:51 INFO mapred.JobClient: map 0% reduce 0%
14/02/28 10:22:52 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000000_0, Status : FAILED
Task attempt_201402040959_0234_m_000000_0 failed to report status for 600 seconds. Killing!
14/02/28 10:22:52 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000001_0, Status : FAILED
Task attempt_201402040959_0234_m_000001_0 failed to report status for 600 seconds. Killing!
14/02/28 10:23:00 INFO mapred.JobClient: map 50% reduce 0%
14/02/28 10:33:00 INFO mapred.JobClient: map 0% reduce 0%
14/02/28 10:33:00 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000000_1, Status : FAILED
Task attempt_201402040959_0234_m_000000_1 failed to report status for 600 seconds. Killing!
14/02/28 10:33:00 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000001_1, Status : FAILED
Task attempt_201402040959_0234_m_000001_1 failed to report status for 600 seconds. Killing!
14/02/28 10:33:09 INFO mapred.JobClient: map 50% reduce 0%
14/02/28 10:43:09 INFO mapred.JobClient: map 0% reduce 0%
14/02/28 10:43:09 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000000_2, Status : FAILED
Task attempt_201402040959_0234_m_000000_2 failed to report status for 600 seconds. Killing!
14/02/28 10:43:10 INFO mapred.JobClient: Task Id : attempt_201402040959_0234_m_000001_2, Status : FAILED
Task attempt_201402040959_0234_m_000001_2 failed to report status for 600 seconds. Killing!
14/02/28 10:43:18 INFO mapred.JobClient: map 50% reduce 0%
14/02/28 10:53:18 INFO mapred.JobClient: map 25% reduce 0%
14/02/28 10:53:19 INFO mapred.JobClient: map 0% reduce 0%
14/02/28 10:53:20 INFO mapred.JobClient: Job complete: job_201402040959_0234
14/02/28 10:53:20 INFO mapred.JobClient: Counters: 7
14/02/28 10:53:20 INFO mapred.JobClient: Job Counters
14/02/28 10:53:20 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=11987
14/02/28 10:53:20 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
14/02/28 10:53:20 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
14/02/28 10:53:20 INFO mapred.JobClient: Launched map tasks=8
14/02/28 10:53:20 INFO mapred.JobClient: Data-local map tasks=8
14/02/28 10:53:20 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
14/02/28 10:53:20 INFO mapred.JobClient: Failed map tasks=1
14/02/28 10:53:20 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 2,441.242 seconds (0 bytes/sec)
14/02/28 10:53:20 INFO mapreduce.ExportJobBase: Exported 0 records.
14/02/28 10:53:20 ERROR tool.ExportTool: Error during export: Export job failed!
的數據的例子是:
201110,1.8181818181818181
201111,1.4597701149425288
201112,1.766990291262136
20119,1.6153846153846154
20121,1.5857142857142856
201210,1.55
201211,1.5294117647058822
201212,1.6528925619834711
20122,1.5789473684210527
20123,1.4848484848484849
20124,1.654320987654321
20125,1.5942028985507246
20126,1.5333333333333334
20127,1.4736842105263157
20128,1.4666666666666666
20129,1.4794520547945205
20131,1.6875
201310,8.233183856502242
201311,8.524886877828054
201312,9.333333333333334
20132,1.7272727272727273
20133,3.42
20134,6.380597014925373
20135,9.504716981132075
20136,8.538812785388128
20137,8.609649122807017
20138,8.777272727272727
20139,8.506787330316742
20141,4.741784037558685
我試着用相同的導出語句導出一個類似的數據集,只用整數而不是雙精度,並且成功。我也嘗試過使用浮動而不是雙打的類似數據集,但那也失敗了。請有人給我一個暗示,爲什麼這不起作用?我對不適合MySQL的數據類型做錯了什麼?
我還試圖運行具有以下附加相同的查詢:
-m 1
這給出了相同的錯誤如上述,除了在地圖上步驟完成到100%,而不是僅僅50%。
- 謝謝,請讓我知道,如果我應該提供一些額外的信息。
我查看了$ HADOOP_MAPRED_HOME/logs中的日誌很長一段時間,但是我仍然沒有看到我的錯誤來自哪裏。有一堆不同的日誌文件,不知何故,我沒有找到任何解釋爲什麼錯誤被拋出的原因。我試着比較成功的整數導出到失敗的浮動導出,我沒有注意到日誌中的差異。你有什麼建議嗎?再次感謝,抱歉,如果我的問題有點模糊。我有點困惑,但我可以嘗試澄清,如果你告訴我。 – Murium