Hi,
I have a cluster (1 master + 3 slaves) on which there Hive, Hbase, and
Hadoop.
In order to do some daily row-level update routine, we need to integrate
Hbase with hive, but the performance is not good.
E.g. There are 2 tables in hive,
hbase_table: a hbase table created via Hive
hive_table: a native hive table
both hold the same data set.
When runing:
select count(*) from hbase_table; ===> takes 500 s
select count(*) from hive_table; ===> takes 6 s
I have tried a lot of queries on the two tables. But hbase_table is
always very slow.
To be claire, I created the hbase_ table as below:
CREATE TABLE hbase_table (
idvisite string,
client_list Array<string>,
nb_client int)
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" =
":key,clients:id_list,clients:nb")
TBLPROPERTIES("hbase.table.name" = "table_test")
;
And my Hbase is on pseudo-distributed mode.
I guess, at the beginning of a hive query execution, hive will load data
from Hbase, where serde takes a long time.
Could someone tell me how to improve my poor performance ?
Is this cause by my wrongly configured integration ?
Is a fully-distributed mode needed here ?
Thank you in advance for your time.
Hao.
--
Hao Ren
ClaraVista
www.claravista.fr
