我已經在我的系統(14.04)中安裝了hadoop-1.0.3,然後本教程。
我成功地運行了一個範例 mapreduce 程式來進行字數統計,如下所示,
hadoopuser@arul-PC:/usr/local/hadoop$ bin/hadoop jar hadoop*examples*.jar wordcount /user/hadoopuser/SampleData /user/hadoopuser/SampleOutput
14/06/17 15:25:45 INFO input.FileInputFormat: Total input paths to process : 3
14/06/17 15:25:45 INFO util.NativeCodeLoader: Loaded the native-hadoop library
14/06/17 15:25:45 WARN snappy.LoadSnappy: Snappy native library not loaded
14/06/17 15:25:45 INFO mapred.JobClient: Running job: job_201406171444_0002
14/06/17 15:25:46 INFO mapred.JobClient: map 0% reduce 0%
14/06/17 15:26:04 INFO mapred.JobClient: map 66% reduce 0%
14/06/17 15:26:13 INFO mapred.JobClient: map 100% reduce 0%
14/06/17 15:26:16 INFO mapred.JobClient: map 100% reduce 22%
14/06/17 15:26:28 INFO mapred.JobClient: map 100% reduce 100%
14/06/17 15:26:33 INFO mapred.JobClient: Job complete: job_201406171444_0002
14/06/17 15:26:33 INFO mapred.JobClient: Counters: 29
14/06/17 15:26:33 INFO mapred.JobClient: Job Counters
14/06/17 15:26:33 INFO mapred.JobClient: Launched reduce tasks=1
14/06/17 15:26:33 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=33037
14/06/17 15:26:33 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
14/06/17 15:26:33 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
14/06/17 15:26:33 INFO mapred.JobClient: Launched map tasks=3
14/06/17 15:26:33 INFO mapred.JobClient: Data-local map tasks=3
14/06/17 15:26:33 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=21208
14/06/17 15:26:33 INFO mapred.JobClient: File Output Format Counters
14/06/17 15:26:33 INFO mapred.JobClient: Bytes Written=880838
14/06/17 15:26:33 INFO mapred.JobClient: FileSystemCounters
14/06/17 15:26:33 INFO mapred.JobClient: FILE_BYTES_READ=2214875
14/06/17 15:26:33 INFO mapred.JobClient: HDFS_BYTES_READ=3671899
14/06/17 15:26:33 INFO mapred.JobClient: FILE_BYTES_WRITTEN=3775759
14/06/17 15:26:33 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=880838
14/06/17 15:26:33 INFO mapred.JobClient: File Input Format Counters
14/06/17 15:26:33 INFO mapred.JobClient: Bytes Read=3671523
14/06/17 15:26:33 INFO mapred.JobClient: Map-Reduce Framework
14/06/17 15:26:33 INFO mapred.JobClient: Map output materialized bytes=1474367
14/06/17 15:26:33 INFO mapred.JobClient: Map input records=77931
14/06/17 15:26:33 INFO mapred.JobClient: Reduce shuffle bytes=1207341
14/06/17 15:26:33 INFO mapred.JobClient: Spilled Records=255966
14/06/17 15:26:33 INFO mapred.JobClient: Map output bytes=6076101
14/06/17 15:26:33 INFO mapred.JobClient: Total committed heap usage (bytes)=517210112
14/06/17 15:26:33 INFO mapred.JobClient: CPU time spent (ms)=11530
14/06/17 15:26:33 INFO mapred.JobClient: Combine input records=629172
14/06/17 15:26:33 INFO mapred.JobClient: SPLIT_RAW_BYTES=376
14/06/17 15:26:33 INFO mapred.JobClient: Reduce input records=102324
14/06/17 15:26:33 INFO mapred.JobClient: Reduce input groups=82335
14/06/17 15:26:33 INFO mapred.JobClient: Combine output records=102324
14/06/17 15:26:33 INFO mapred.JobClient: Physical memory (bytes) snapshot=589725696
14/06/17 15:26:33 INFO mapred.JobClient: Reduce output records=82335
14/06/17 15:26:33 INFO mapred.JobClient: Virtual memory (bytes) snapshot=1862012928
14/06/17 15:26:33 INFO mapred.JobClient: Map output records=629172
當我檢查輸出檔案時,它存在於輸出資料夾中,
hadoopuser@arul-PC:/usr/local/hadoop$ bin/hadoop dfs -ls /user/hadoopuser/SampleOutput
Found 3 items
-rw-r--r-- 1 hadoopuser supergroup 0 2014-06-17 15:26 /user/hadoopuser/SampleOutput/_SUCCESS
drwxr-xr-x - hadoopuser supergroup 0 2014-06-17 15:25 /user/hadoopuser/SampleOutput/_logs
-rw-r--r-- 1 hadoopuser 超級群組 880838 2014-06-17 15:26 /user/hadoopuser/SampleOutput/part-r-00000
我嘗試使用以下命令打開它,
hadoopuser@avvenire-PC:/usr/local/hadoop$ bin/hadoop dfs -cat /user/hadoopuser/SampleOutput/part-r-0000
但我得到的結果如下,
cat: File does not exist: /user/hadoopuser/SampleOutput/part-r-0000
請給我一個解決方案。預先感謝。
答案1
檢查檔案名稱。它是五個 0,而不是四個。
bin/hadoop dfs -cat /user/hadoopuser/SampleOutput/part-r-00000
答案2
所以我意識到答案已經被接受,但這是發生在我身上時的解決方案(以防萬一其他人看到這個線程)。
太長了;確保您的 hadoop 目錄中沒有任何衝突的資料夾名稱(對我來說是 /usr/local/hadoop)。
當我產生輸出時,我將其放在名為“output/”的資料夾中,但是在此程式之前,我還有另一個程式也在寫入輸出,並且我已將輸出資料保存在我的hadoop 目錄中專門名為「output」的資料夾中。這給我帶來了問題,因為即使我運行時該資料夾沒有顯示bin/hadoop fs -ls
,該命令bin/hadoop fs -cat output/*
實際上是在我之前生成的資料夾中搜索,而不是在我剛剛運行的程式的輸出中搜索。使用 刪除該輸出目錄後rm -rf output/
,問題就消失了。