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From Ted Yu <yuzhih...@gmail.com>
Subject Re: Strategies to query efficiently in HBase
Date Sat, 07 Oct 2017 17:16:37 GMT
What's the value for hbase.hregion.max.filesize ?
By default it is 10GB.

bq. any other scan including startrow and stoprow

Did the start / stop rows encompass the 3 regions ?

Please also see http://hbase.apache.org/book.html#ops.date.tiered


On Sat, Oct 7, 2017 at 9:59 AM, sauloricci <infsaulok@gmail.com> wrote:

> I've designed HBase table where my rowkey is driven to the queries that I
> need to run on it. Following the best practices I included a hashed portion
> as prefix of my rowkeys, trying to spread the rows as much uniform as
> possible across my table regions.
> I'm concerned about the following scenario:
> I got billions of rows in my HBase table split between 3 regions. I'm using
> this table to provide data for a REST API, and because that, it needs to
> provide the rows as fast as possible.
> Unfortunately, I'm hitting the famous timeout error Failed to get result
> within timeout, timeout=60000ms even if I invoke either count "table_name"
> in the hbase shell or for any other scan including startrow and stoprow
> parameters.It seems scanning by ranges using the rowkey is sweeping the
> whole hbase table.
> Considering this scenario I'd like to ask 2 questions:
> 1) Is there any strategy to really retrieve range of rows as fast as
> possible without hitting the timeout error? I really appreciate any
> pointers
> here.
> 2) As I'm new in HBase, do you think HBase is the best or at least adequate
> solution to provide fast retrieval data to a REST API, considering the
> search are in fact scans by range of rowkeys?
> --
> Sent from: http://apache-hbase.679495.n3.nabble.com/HBase-User-
> f4020416.html

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