On Mon, Sep 19, 2011 at 6:32 PM, Scott Marlowe wrote:
> On Mon, Sep 19, 2011 at 4:11 PM, Igor Chudov wrote:
> > Let's say that I want to do INSERT SELECT of 1,000 items into a table.
> The
> > table has some ints, varchars, TEXT and BLOB fields.
> > Would the time
Let's say that I want to do INSERT SELECT of 1,000 items into a table. The
table has some ints, varchars, TEXT and BLOB fields.
Would the time that it takes, differ a great deal, depending on whether the
table has only 100,000 or 5,000,000 records?
Thanks
i
I do not need to do insert updates from many threads. I want to do it from
one thread.
My current MySQL architecture is that I have a table with same layout as the
main one, to hold new and updated objects.
When there is enough objects, I begin a big INSERT SELECT ... ON DUPLICATE
KEY UPDATE and
On Sun, Sep 11, 2011 at 6:01 PM, Stephen Frost wrote:
> * Igor Chudov (ichu...@gmail.com) wrote:
> > Right now I have a personal (one user) project to create a 5-10
> > Terabyte data warehouse. The largest table will consume the most space
> > and will take, perhaps, 200,00
On Sun, Sep 11, 2011 at 9:16 AM, Claudio Freire wrote:
> On Sun, Sep 11, 2011 at 3:59 PM, Igor Chudov wrote:
> > Well, right now, my server has twelve 7,200 RPM 2TB hard drives in a
> RAID-6
> > configuration.
> > They are managed by a 3WARE 9750 RAID CARD.
> >
>
2011/9/11 pasman pasmaĆski
> For 10 TB table and 3hours, disks should have a transfer about 1GB/s
> (seqscan).
>
>
I have 6 Gb/s disk drives, so it should be not too far, maybe 5 hours for a
seqscan.
i
> 2011/9/11, Scott Marlowe :
> > On Sun, Sep 11, 2011 at 6:35 A
On Sun, Sep 11, 2011 at 7:52 AM, Scott Marlowe wrote:
> On Sun, Sep 11, 2011 at 6:35 AM, Igor Chudov wrote:
> > I have a server with about 18 TB of storage and 48 GB of RAM, and 12
> > CPU cores.
>
> 1 or 2 fast cores is plenty for what you're doing.
I need those co
I have been a MySQL user for years, including owning a few
multi-gigabyte databases for my websites, and using it to host
algebra.com (about 12 GB database).
I have had my ups and downs with MySQL. The ups were ease of use and
decent performance for small databases such as algebra.com. The downs
w