Hi I have some strange issue. I have some `MapR` code running fine on my local, producing the desired output. With the same `input`, I get no output when I use this code on some `google-cloud` remote cluster.
Here's the log : 15/09/14 09:23:35 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/09/14 09:23:35 INFO gcs.GoogleHadoopFileSystemBase: GHFS version: 1.4.0-hadoop2 15/09/14 09:23:36 INFO Configuration.deprecation: io.bytes.per.checksum is deprecated. Instead, use dfs.bytes-per-checksum 15/09/14 09:23:36 INFO fs.TrashPolicyDefault: Namenode trash configuration: Deletion interval = 0 minutes, Emptier interval = 0 minutes. Deleted ../output mehdibenchoufi@metamap-m:~$ hadoop jar jar/full_metamap.jar avro_input output 15/09/14 09:23:48 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/09/14 09:23:49 INFO gcs.GoogleHadoopFileSystemBase: GHFS version: 1.4.0-hadoop2 15/09/14 09:23:50 INFO client.RMProxy: Connecting to ResourceManager at metamap-m/10.240.231.143:8032 15/09/14 09:23:51 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 15/09/14 09:23:55 INFO input.FileInputFormat: Total input paths to process : 2 15/09/14 09:23:56 INFO mapreduce.JobSubmitter: number of splits:2 15/09/14 09:23:58 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1442217060046_0001 15/09/14 09:23:59 INFO impl.YarnClientImpl: Submitted application application_1442217060046_0001 15/09/14 09:23:59 INFO mapreduce.Job: The url to track the job: http://metamap-m:8088/proxy/application_1442217060046_0001/ 15/09/14 09:23:59 INFO mapreduce.Job: Running job: job_1442217060046_0001 15/09/14 09:24:22 INFO mapreduce.Job: Job job_1442217060046_0001 running in uber mode : false 15/09/14 09:24:22 INFO mapreduce.Job: map 0% reduce 0% 15/09/14 09:24:41 INFO mapreduce.Job: map 16% reduce 0% 15/09/14 09:24:44 INFO mapreduce.Job: map 32% reduce 0% 15/09/14 09:24:45 INFO mapreduce.Job: map 51% reduce 0% 15/09/14 09:24:47 INFO mapreduce.Job: map 52% reduce 0% 15/09/14 09:24:53 INFO mapreduce.Job: map 53% reduce 0% 15/09/14 09:24:56 INFO mapreduce.Job: map 68% reduce 0% 15/09/14 09:24:57 INFO mapreduce.Job: map 68% reduce 1% 15/09/14 09:24:58 INFO mapreduce.Job: map 68% reduce 3% 15/09/14 09:24:59 INFO mapreduce.Job: map 100% reduce 3% 15/09/14 09:25:01 INFO mapreduce.Job: map 100% reduce 8% 15/09/14 09:25:03 INFO mapreduce.Job: map 100% reduce 32% 15/09/14 09:25:04 INFO mapreduce.Job: map 100% reduce 35% 15/09/14 09:25:08 INFO mapreduce.Job: map 100% reduce 40% 15/09/14 09:25:11 INFO mapreduce.Job: map 100% reduce 45% 15/09/14 09:25:12 INFO mapreduce.Job: map 100% reduce 55% 15/09/14 09:25:13 INFO mapreduce.Job: map 100% reduce 65% 15/09/14 09:25:14 INFO mapreduce.Job: map 100% reduce 70% 15/09/14 09:25:15 INFO mapreduce.Job: map 100% reduce 80% 15/09/14 09:25:19 INFO mapreduce.Job: map 100% reduce 85% 15/09/14 09:25:20 INFO mapreduce.Job: map 100% reduce 100% 15/09/14 09:26:08 INFO mapreduce.Job: Job job_1442217060046_0001 completed successfully 15/09/14 09:26:08 INFO mapreduce.Job: Counters: 51 File System Counters FILE: Number of bytes read=128 FILE: Number of bytes written=6484874 FILE: Number of read operations=0 FILE: Number of large read operations=0 FILE: Number of write operations=0 GS: Number of bytes read=72553378 GS: Number of bytes written=2 GS: Number of read operations=0 GS: Number of large read operations=0 GS: Number of write operations=0 Job Counters Killed map tasks=1 Killed reduce tasks=1 Launched map tasks=3 Launched reduce tasks=21 Rack-local map tasks=3 Total time spent by all maps in occupied slots (ms)=127110 Total time spent by all reduces in occupied slots (ms)=998415 Total time spent by all map tasks (ms)=63555 Total time spent by all reduce tasks (ms)=199683 Total vcore-seconds taken by all map tasks=63555 Total vcore-seconds taken by all reduce tasks=399366 Total megabyte-seconds taken by all map tasks=130160640 Total megabyte-seconds taken by all reduce tasks=1022376960 Map-Reduce Framework Map input records=5978 Map output records=5978 Map output bytes=11956 Map output materialized bytes=248 Input split bytes=208 Combine input records=5978 Combine output records=2 Reduce input groups=1 Reduce shuffle bytes=248 Reduce input records=2 Reduce output records=1 Spilled Records=4 Shuffled Maps =40 Failed Shuffles=0 Merged Map outputs=40 GC time elapsed (ms)=916 CPU time spent (ms)=60290 Physical memory (bytes) snapshot=6689841152 Virtual memory (bytes) snapshot=104437014528 Total committed heap usage (bytes)=6258425856 Shuffle Errors BAD_ID=0 CONNECTION=0 IO_ERROR=0 WRONG_LENGTH=0 WRONG_MAP=0 WRONG_REDUCE=0 File Input Format Counters Bytes Read=72553170 File Output Format Counters Bytes Written=2 Could someone help ? Best regards, Mehdi