Performance with Insert overwrite into Hive Table.

[Bijay Kumar Pathak]

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