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HBase >> mail # user >> Poor HBase map-reduce scan performance


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Re: Poor HBase map-reduce scan performance
Have you tried enabling short circuit read ?

Thanks

On Apr 30, 2013, at 9:31 PM, Bryan Keller <[EMAIL PROTECTED]> wrote:

> Yes, I have tried various settings for setCaching() and I have setCacheBlocks(false)
>
> On Apr 30, 2013, at 9:17 PM, Ted Yu <[EMAIL PROTECTED]> wrote:
>
>> From http://hbase.apache.org/book.html#mapreduce.example :
>>
>> scan.setCaching(500);        // 1 is the default in Scan, which will
>> be bad for MapReduce jobs
>> scan.setCacheBlocks(false);  // don't set to true for MR jobs
>>
>> I guess you have used the above setting.
>>
>> 0.94.x releases are compatible. Have you considered upgrading to, say
>> 0.94.7 which was recently released ?
>>
>> Cheers
>>
>> On Tue, Apr 30, 2013 at 9:01 PM, Bryan Keller <[EMAIL PROTECTED]> wrote:
>>
>>> I have been attempting to speed up my HBase map-reduce scans for a while
>>> now. I have tried just about everything without much luck. I'm running out
>>> of ideas and was hoping for some suggestions. This is HBase 0.94.2 and
>>> Hadoop 2.0.0 (CDH4.2.1).
>>>
>>> The table I'm scanning:
>>> 20 mil rows
>>> Hundreds of columns/row
>>> Column keys can be 30-40 bytes
>>> Column values are generally not large, 1k would be on the large side
>>> 250 regions
>>> Snappy compression
>>> 8gb region size
>>> 512mb memstore flush
>>> 128k block size
>>> 700gb of data on HDFS
>>>
>>> My cluster has 8 datanodes which are also regionservers. Each has 8 cores
>>> (16 HT), 64gb RAM, and 2 SSDs. The network is 10gbit. I have a separate
>>> machine acting as namenode, HMaster, and zookeeper (single instance). I
>>> have disk local reads turned on.
>>>
>>> I'm seeing around 5 gbit/sec on average network IO. Each disk is getting
>>> 400mb/sec read IO. Theoretically I could get 400mb/sec * 16 = 6.4gb/sec.
>>>
>>> Using Hadoop's TestDFSIO tool, I'm seeing around 1.4gb/sec read speed. Not
>>> really that great compared to the theoretical I/O. However this is far
>>> better than I am seeing with HBase map-reduce scans of my table.
>>>
>>> I have a simple no-op map-only job (using TableInputFormat) that scans the
>>> table and does nothing with data. This takes 45 minutes. That's about
>>> 260mb/sec read speed. This is over 5x slower than straight HDFS.
>>> Basically, with HBase I'm seeing read performance of my 16 SSD cluster
>>> performing nearly 35% slower than a single SSD.
>>>
>>> Here are some things I have changed to no avail:
>>> Scan caching values
>>> HDFS block sizes
>>> HBase block sizes
>>> Region file sizes
>>> Memory settings
>>> GC settings
>>> Number of mappers/node
>>> Compressed vs not compressed
>>>
>>> One thing I notice is that the regionserver is using quite a bit of CPU
>>> during the map reduce job. When dumping the jstack of the process, it seems
>>> like it is usually in some type of memory allocation or decompression
>>> routine which didn't seem abnormal.
>>>
>>> I can't seem to pinpoint the bottleneck. CPU use by the regionserver is
>>> high but not maxed out. Disk I/O and network I/O are low, IO wait is low.
>>> I'm on the verge of just writing the dataset out to sequence files once a
>>> day for scan purposes. Is that what others are doing?
>