Hi Aniket, I am looking to run some data through a mapreduce and I want the output sequence files to be compatible with Block Compressed Partitioned LazyBinarySerDe so I can map external tables to it. The current job uses a pojo that extends writable to serialize to disk, this is easy to read back in for mapreduce but I am not sure how to read this with hive. Do I need to define it as a struct, just normal fields and row format is LazyBinarySerDe?
On Sun, Jan 22, 2012 at 5:41 PM, Aniket Mokashi <aniket...@gmail.com> wrote: > Hi Hans, > > Can you please elaborate on the use case more? Is your data already in > Binary format readable to LazyBinarySerDe (if you mount a table with that > serde with hive)? > OR > are you trying to write data using mapreduce (java) into a location that > can be further read by a table that is declared to use LazyBinarySerDe? > > Please elaborate more. > > Thanks, > Aniket > > On Sun, Jan 22, 2012 at 10:23 AM, Hans Uhlig <huh...@uhlisys.com> wrote: > >> I am attempting to Use LazyBinarySerDe to read Sequence files output by a >> mapreduce job. Is there an example of how the data needs to be packed by >> the final reduce, and how the tables are set up so they can read the >> output? > > > > > -- > "...:::Aniket:::... Quetzalco@tl" >
