"essential column families" help when you filter on one column but want to 
return *other* columns for the rows that matched the column.

Check out HBASE-5416.

-- Lars



________________________________
 From: Vladimir Rodionov <vrodio...@carrieriq.com>
To: "user@hbase.apache.org" <user@hbase.apache.org>; lars hofhansl 
<la...@apache.org> 
Sent: Friday, June 21, 2013 5:00 PM
Subject: RE: Scan performance
 

Lars,
I thought that column family is the locality group and placement columns which 
are frequently accessed together into
the same column family (locality group) is the obvious performance improvement 
tip. What are the "essential column families" for in this context?

As for original question..  Unless you place your column into a separate column 
family in Table 2, you will
need to scan (load from disk if not cached) ~ 40x more data for the second 
table (because you have 40 columns). This may explain why do  see such a 
difference in
execution time if all data needs to be loaded first from HDFS.

Best regards,
Vladimir Rodionov
Principal Platform Engineer
Carrier IQ, www.carrieriq.com
e-mail: vrodio...@carrieriq.com

________________________________________
From: lars hofhansl [la...@apache.org]
Sent: Friday, June 21, 2013 3:37 PM
To: user@hbase.apache.org
Subject: Re: Scan performance

HBase is a key value (KV) store. Each column is stored in its own KV, a row is 
just a set of KVs that happen to have the row key (which is the first part of 
the key).
I tried to summarize this here: 
http://hadoop-hbase.blogspot.de/2011/12/introduction-to-hbase.html)

In the StoreFiles all KVs are sorted in row/column order, but HBase still needs 
to skip over many KVs in order to "reach" the next row. So more disk and memory 
IO is needed.

If you using 0.94 there is a new feature "essential column families". If you 
always search by the same column you can place that one in its own column 
family and all other column in another column family. In that case your scan 
performance should be close identical.


-- Lars
________________________________

From: Tony Dean <tony.d...@sas.com>
To: "user@hbase.apache.org" <user@hbase.apache.org>
Sent: Friday, June 21, 2013 2:08 PM
Subject: Scan performance




Hi,

I hope that you can shed some light on these 2 scenarios below.

I have 2 small tables of 6000 rows.
Table 1 has only 1 column in each of its rows.
Table 2 has 40 columns in each of its rows.
Other than that the two tables are identical.

In both tables there is only 1 row that contains a matching column that I am 
filtering on.   And the Scan performs correctly in both cases by returning only 
the single result.

The code looks something like the following:

Scan scan = new Scan(startRow, stopRow);   // the start/stop rows should 
include all 6000 rows
scan.addColumn(cf, qualifier); // only return the column that I am interested 
in (should only be in 1 row and only 1 version)

Filter f1 = new InclusiveStopFilter(stopRow);
Filter f2 = new SingleColumnValueFilter(cf, qualifier,  
CompareFilter.CompareOp.EQUALS, value);
scan.setFilter(new FilterList(f1, f2));

scan .setTimeRange(0, MAX_LONG);
scan.setMaxVersions(1);

ResultScanner rs = t.getScanner(scan);
for (Result result: rs)
{

}

For table 1, rs.next() takes about 30ms.
For table 2, rs.next() takes about 180ms.

Both are returning the exact same result.  Why is it taking so much longer on 
table 2 to get the same result?  The scan depth is the same.  The only 
difference is the column width.  But I’m filtering on a single column and 
returning only that column.

Am I missing something?  As I increase the number of columns, the response time 
gets worse.  I do expect the response time to get worse when increasing the 
number of rows, but not by increasing the number of columns since I’m returning 
only 1 column in
both cases.

I appreciate any comments that you have.

-Tony



Tony Dean
SAS Institute Inc.
Principal Software Developer
919-531-6704          …

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