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I'd ask Monty On 02/18/2016 01:12 PM, Serge Monkewitz wrote: > On Feb 18, 2016, at 12:13 PM, Fabrice Jammes <[log in to unmask]> wrote: >> >> Hi Serge, >> >> Fabio might get some SSD or SSD+NVM-express storage to test secondary index performance. >> That's why I'm trying to better understand how secondary index size is computed. >> So, in my current understanding, having chunkID on 4 bytes and objectId on 8 bytes seems reasonable and would lead to a InnoDB table file of 456GB*3 = 1.5TB. >> If this is correct, a 2TB SSD machine would be fine for our tests. > >> Serge, would you agree with this proposal? > > Assuming the following: > > create table mapping ( > objectId bigint not null, > chunkId int not null, > primary key (objectId, chunkId) > ) engine=innodb row_format=compact; > > I get a per record size of (8 + 4 + 5 + 6 + 7) = 30 bytes. Assuming pages are generally only half full, my guess at worst case size is 2.28 TB (removing 2 bytes doesn’t bring it under 2TB). I defer to others on size estimates though, as I have very little InnoDB experience. > > Still, my 2cents are that 2TB is already quite nice. Even if my worst case estimate isn’t overly pessimistic, we can test at almost full scale. And we can try out row_format=compressed (or page_compressed=1 with say lz4 compression) and probably get all the way to full scale in 2TB. > > Just FYI though - there are significantly bigger NVMe SSDs available. The Intel P3608 is available at 3.2 and 4TB, and Samsung’s PM1725 goes up to 6.4TB in the HHHL form factor. They are unsurprisingly very expensive relative to 2TB offerings. > > Cheers, > Serge > >> Regards, >> >> On 02/18/2016 11:50 AM, Jacek Becla wrote: >>> also, smallint/mediumint types are mysql specific and we were >>> trying to avoid using them. >>> >>> >>> On 02/18/2016 11:00 AM, Serge Monkewitz wrote: >>>> Chunk ids probably fit into 2 bytes with the current baseline 20k chunks, but chunk IDs are not contiguous integers so I’m not 100% sure. It’s obviously not my call, but personally I would like to have the flexibility to try > 65536 chunks, or to encode spatial binning at finer-than-chunk granularity in the secondary index. Is the storage overhead of an extra 2 bytes per row a deal breaker somehow? >>>> >>>>> On Feb 18, 2016, at 10:50 AM, Jacek Becla <[log in to unmask]> wrote: >>>>> >>>>> Fabrice, I think we planned for regular 4 byte int for chunkid. >>>>> >>>>> But check with others from the group, I am way too busy with the >>>>> overall dm type things right now... >>>>> >>>>> >>>>> >>>>> On 02/18/2016 09:45 AM, Fabrice Jammes wrote: >>>>>> Sorry for nitpicking, but it seems that 8 bytes (a SMALLINT for chunkID >>>>>> and a BIGINT for objectId) would be enough to store one raw: >>>>>> http://dev.mysql.com/doc/refman/5.5/en/integer-types.html >>>>>> >>>>>> This would lead to an index of: >>>>>> 38 * 10^9 objects * (2+8 bytes) = 380 GB >>>>>> >>>>>> And, with overhead, 1.2TB. >>>>>> >>>>>> Can I send these number to Fabio please? >>>>>> >>>>>> Cheers, >>>>> >>>>> ######################################################################## >>>>> Use REPLY-ALL to reply to list >>>>> >>>>> To unsubscribe from the QSERV-L list, click the following link: >>>>> https://listserv.slac.stanford.edu/cgi-bin/wa?SUBED1=QSERV-L&A=1 >>>> >>> >>> ######################################################################## >>> Use REPLY-ALL to reply to list >>> >>> To unsubscribe from the QSERV-L list, click the following link: >>> https://listserv.slac.stanford.edu/cgi-bin/wa?SUBED1=QSERV-L&A=1 > ######################################################################## Use REPLY-ALL to reply to list To unsubscribe from the QSERV-L list, click the following link: https://listserv.slac.stanford.edu/cgi-bin/wa?SUBED1=QSERV-L&A=1