Hive: 2.1.0Sqoop: 1.4.6
###hive> select * from dimemployee;OKFailed with exception
java.io.IOException:java.lang.RuntimeException:
hdfs://ip-172-31-38-171.ec2.internal:8020/user/hive/warehouse/db2.db/dimemployee/.metadata/schemas/1.avsc
is not a Parquet file. expected magic number at tail [80, 6
Is it possible to run a Hive UDF in Spark DataFrame?
Is it possible to call a Hive registered UDF in Spark dataframe?
Thanks,w
Hive 1.2.1.2.3.4.0-3485Spark 1.5.2Oracle Database 11g Enterprise Edition
Release 11.2.0.4.0 - 64bit Production
### SELECT f.description, f.item_number, sum(f.df_a * (select count(1) from
e.mv_A_h_a where hb_h_name = r.h_id)) as df_aFROM e.eng_fac_atl_sc_bf_qty f,
wv_ATL_2_qty_df_rates rwhere f.
I need to re-write something like this to Hive:
###select x.A, sum(0.5 * (select (count(*) from Table_X tx where tx.blah =
0.75)))from Table_X x###
Thanks in advance for any pointer to it.
Hi All,
Can someone provide has any idea on my above question?
Appreciate the help
On Thu, Apr 24, 2014 at 7:15 PM, krish ws wrote:
> Hi,
> I have a question related to hive table *bucketing* based on
> multiple columns(*Clustered by* on a common set of columns).
>
Hi,
I have a question related to hive table *bucketing* based on multiple
columns(*Clustered by* on a common set of columns).
How would be the join performance if I am joining this table to itself
based on few columns that I have specified in *clustered by *condition(not
all)?
Will the has