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From Sanjay Subramanian <Sanjay.Subraman...@wizecommerce.com>
Subject Re: Very poor read performance with composite keys in hbase
Date Tue, 30 Apr 2013 18:04:55 GMT
My experience with hive + hbase has been about 8x slower on an average. So I went ahead with
hive only option.

Sent from my iPhone

On Apr 30, 2013, at 11:19 PM, "Rupinder Singh" <rsingh@care.com<mailto:rsingh@care.com>>


I have an hbase cluster where I have a table with a composite key. I map this table to a Hive
external table using which I insert/select data into/from this table:
CREATE EXTERNAL TABLE event(key struct<name:string,dateCreated:string,uid:string>, {more
columns here})
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key, other columns ")
TBLPROPERTIES ("hbase.table.name" = "event");

The table has about 10 million rows. When I do a select * using all 3 components of the key,
essentially selecting just 1 row, the response time is almost 700 sec, which seems pretty

For comparison purpose, I created another table with a simple string key, and the rest of
the columns etc same. The key is a string UUID. Table has same number of column families and
same number of rows.
CREATE EXTERNAL TABLE test_event(key string, blah blah…..
TBLPROPERTIES ("hbase.table.name" = "test_event");

When I select a single row from this table by doing select * where key=’something’, the
response time is 35 sec.

This seems to indicate that in case of composite keys, there is a full table scan happening.
 This seems weird.

What am I missing here? Is there something special I need to do to get good read performance
if I am using composite keys ?
Insert performance in both cases is comparable and is as per expectation.

Any help is appreciated.
Here is the env spec:

Amazon EMR
Hbase Cluster- 3 core nodes with 7.5 GB RAM each, 2 CPUs of 2.2 GHz each. Master 7.5 GB RAM,
2 CPUs of 2.2 GHz each
Hive Cluster – 3 core nodes 3.75 GB RAM each, 1 CPU of 1.8 GHz. Master 3.75 GB RAM, 1 CPU
of 1.8 GHz


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