You can try to use data frame for both read and write
Thanks
Zhan Zhang
Sent from my iPhone
> On Sep 29, 2015, at 1:56 PM, Umesh Kacha <umesh.ka...@gmail.com> wrote:
>
> Hi Zang, thanks for the response. Table is created using Spark
> hiveContext.sql and data inserted into table also using hiveContext.sql.
> Insert into partition table. When I try to load orc data into dataframe I am
> loading particular partition data stored in path say
> /user/xyz/Hive/xyz.db/sparktable/partition1=abc
>
> Regards,
> Umesh
>
>> On Sep 30, 2015 02:21, "Hortonworks" <zzh...@hortonworks.com> wrote:
>> How was the table is generated, by hive or by spark?
>>
>> If you generate table using have but read it by data frame, it may have some
>> comparability issue.
>>
>> Thanks
>>
>> Zhan Zhang
>>
>>
>> Sent from my iPhone
>>
>> > On Sep 29, 2015, at 1:47 PM, unk1102 <umesh.ka...@gmail.com> wrote:
>> >
>> > Hi I have a spark job which creates hive tables in orc format with
>> > partitions. It works well I can read data back into hive table using hive
>> > console. But if I try further process orc files generated by Spark job by
>> > loading into dataframe then I get the following exception
>> > Caused by: java.io.IOException: Malformed ORC file
>> > hdfs://localhost:9000/user/hive/warehouse/partorc/part_tiny.txt. Invalid
>> > postscript.
>> >
>> > Dataframe df = hiveContext.read().format("orc").load(to/path);
>> >
>> > Please guide.
>> >
>> >
>> >
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