Hi there, After I read these two posts on the mailing list http://search-hadoop.com/m/nVaw59rFlY1/Performance+between+Hive+queries+vs.+Hive+over+HBase+queries&subj=Performance+between+Hive+queries+vs+Hive+over+HBase+queries http://search-hadoop.com/m/X1rzQ1QDSaf2/Hive%252BHBase+performance+is+much+poorer+than+Hive%252BHDFS&subj=Hive+HBase+performance+is+much+poorer+than+Hive+HDFS Seems like a 4~5X performance downgrade of Hive/HBase vs Hive/HDFS is expected due to hbase built another layer on top of HDFS. If this is the issue here, is it possible to bypass the HBase layer to read the HFiles stored on HDFS directly? Another possibility maybe the fact that for the same table, the storage is much larger in HBase(around 5X in my test case, both uncompressed)than in Hive, as hbase stores each KV pair for one column which causes the key to be repeated several times. But after I tried compress the Hbase table using LZO(now nearly the same as in hive uncompressed table), there's no performance gain for queries like select count(*) from xtable; Is there anyone working on this?Not sure whether I should put this post to Hive's mailing list but there seems to be no progress on issues like https://issues.apache.org/jira/browse/HIVE-1231
Regards, Bruce
