Hello Akhil, thank you for your continued help! 1) So, if I can write it in programitically after every batch, then technically I should be able to have just the csv files in one directory. However, can the /desired/output/file.txt be in hdfs? If it is only local, I am not sure if it will help me for my use case I describe in 2)
so can i do something like this hadoop fs -getmerge /output/dir/on/hdfs desired/dir/in/hdfs ? 2) Just to make sure I am going on the right path...my end use case is to use hive or hbase to create a database off these csv files. Is there an easy way for hive to read /user/test/many sub directories/with one csv file in each into a table? Thank you! On Sat, Feb 14, 2015 at 12:39 AM, Akhil Das <ak...@sigmoidanalytics.com> wrote: > Simplest way would be to merge the output files at the end of your job > like: > > hadoop fs -getmerge /output/dir/on/hdfs/ /desired/local/output/file.txt > > ​If you want to do it pro grammatically, then you can use the ​ > FileUtil.copyMerge API > ​.​ like: > > FileUtil.copyMerge(FileSystem of source(hdfs), /output-location, > FileSystem of destination(hdfs), Path to the merged files /merged-ouput, > true(to delete the original dir),null) > > > > Thanks > Best Regards > > On Sat, Feb 14, 2015 at 2:18 AM, Su She <suhsheka...@gmail.com> wrote: > >> Thanks Akhil for the suggestion, it is now only giving me one part - >> xxxx. Is there anyway I can just create a file rather than a directory? It >> doesn't seem like there is just a saveAsTextFile option for >> JavaPairRecieverDstream. >> >> Also, for the copy/merge api, how would I add that to my spark job? >> >> Thanks Akhil! >> >> Best, >> >> Su >> >> On Thu, Feb 12, 2015 at 11:51 PM, Akhil Das <ak...@sigmoidanalytics.com> >> wrote: >> >>> For streaming application, for every batch it will create a new >>> directory and puts the data in it. If you don't want to have multiple files >>> inside the directory as part-xxxx then you can do a repartition before the >>> saveAs* call. >>> >>> messages.repartition(1).saveAsHadoopFiles("hdfs://user/ec2-user/","csv",String.class, >>> String.class, (Class) TextOutputFormat.class); >>> >>> >>> Thanks >>> Best Regards >>> >>> On Fri, Feb 13, 2015 at 11:59 AM, Su She <suhsheka...@gmail.com> wrote: >>> >>>> Hello Everyone, >>>> >>>> I am writing simple word counts to hdfs using >>>> messages.saveAsHadoopFiles("hdfs://user/ec2-user/","csv",String.class, >>>> String.class, (Class) TextOutputFormat.class); >>>> >>>> 1) However, each 2 seconds I getting a new *directory *that is titled >>>> as a csv. So i'll have test.csv, which will be a directory that has two >>>> files inside of it called part-00000 and part 00001 (something like that). >>>> This obv makes it very hard for me to read the data stored in the csv >>>> files. I am wondering if there is a better way to store the >>>> JavaPairRecieverDStream and JavaPairDStream? >>>> >>>> 2) I know there is a copy/merge hadoop api for merging files...can this >>>> be done inside java? I am not sure the logic behind this api if I am using >>>> spark streaming which is constantly making new files. >>>> >>>> Thanks a lot for the help! >>>> >>> >>> >> >