Thanks Ted. This looks like the issue since I am running it in EMR and the
Hive version is 1.0.0.
Thanks,
Bijay
On Wed, May 4, 2016 at 10:29 AM, Ted Yu <yuzhih...@gmail.com> wrote:
> Looks like you were hitting HIVE-11940
>
> On Wed, May 4, 2016 at 10:02 AM, Bijay Kumar Pathak <bkpat...@mtu.edu>
> wrote:
>
>> Hello,
>>
>> I am writing Dataframe of around 60+ GB into partitioned Hive Table using
>> hiveContext in parquet format. The Spark insert overwrite jobs completes in
>> a reasonable amount of time around 20 minutes.
>>
>> But the job is taking a huge amount of time more than 2 hours to copy
>> data from .hivestaging directory in HDFS to final partition directory. What
>> could be the potential problem over here?
>>
>> hive_c.sql("""
>> INSERT OVERWRITE TABLE {0} PARTITION (row_eff_end_dt='{1}',
>> ccd_dt)
>> SELECT * from temp_table
>> """.format(table_name, eff_end_dt)
>> )
>>
>> And the below process from the log is taking more than 2 hours.
>>
>> 16/05/04 06:41:28 INFO Hive: Replacing
>> src:hdfs://internal:8020/user/hadoop/so_core_us/.hive-staging_hive_2016-05-04_04-39-13_992_6600245407573569189-1/-ext-10000/ccd_dt=2012-09-02/part-00306,
>> dest:
>> hdfs://internal:8020/user/hadoop/so_core_us/row_eff_end_dt=9999-12-31/ccd_dt=2012-09-02/part-00306,
>> Status:true
>> 16/05/04 06:41:28 INFO Hive: New loading path =
>> hdfs://internal:8020/user/hadoop/so_core_us/.hive-staging_hive_2016-05-04_04-39-13_992_6600245407573569189-1/-ext-10000/ccd_dt=2012-09-02
>> with partSpec {row_eff_end_dt=9999-12-31, ccd_dt=2012-09-02}
>>
>>
>> Thanks,
>> Bijay
>>
>
>
