Hi Prasanth,

No it's not a partitioned table. The table consists of only one file of
(91.7 GB). When I created the table I loaded data from a text table to the
orc table and used only 1 map task so that only one large file is created
and not many small files. This is why I'm getting confused with this
behavior. It seems that the first 180 map tasks read a total of 3 MB only
(all together) and then the remaining map tasks do the actual work. Any
other idea on why this might be happening?

Thanks,
Avrilia


On Mon, Feb 10, 2014 at 10:55 AM, Prasanth Jayachandran <
pjayachand...@hortonworks.com> wrote:

> Hi Avrilia
>
> Is it a partitioned table? If so approximately how many partitions are
> there and how many files are there? What is the value for hive.input.format?
>
> My suspicion is that there are ~180 files and each file is ~515MB in size.
> Since, you had mentioned you are using default stripe size i.e, 256MB, the
> default HDFS block size for ORC files will be chose as 512MB. When a query
> is issued, the input files are split on HDFS block boundaries. So if the
> file size in a partition is 515MB there will be 2 splits per file (512MB on
> HDFS block boundary + remaining 3MB). This happens when the input format is
> set to HiveInputFormat.
>
> Thanks
> Prasanth Jayachandran
>
> On Feb 10, 2014, at 12:49 AM, Avrilia Floratou <avrilia.flora...@gmail.com>
> wrote:
>
> > Hi all,
> >
> > I'm running a query that scans a file stored in ORC format and extracts
> some columns. My file is about 92 GB, uncompressed. I kept the default
> stripe size. The MapReduce job generates 363 map tasks.
> >
> > I have noticed that the first 180 map tasks finish in 3 secs (each) and
> after they complete the HDFS_BYTES_READ counter is equal to about 3MB. Then
> the remaining map tasks are the ones that scan the data and each one
> completes in about 20 sec. It seems that each of these map tasks gets as
> input 512 MB of the file. I was wondering, what exactly are the first short
> map tasks doing?
> >
> > Thanks,
> > Avrilia
>
>
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