Without any other details it seems simple, just create indexes on any
join or where column, setup a slave box for data warehousing purposes,
run the simple SQL
On Mon, Jun 21, 2010 at 11:09 PM, der.hans <
PLUGd@lufthans.com> wrote:
> moin moin,
>
> t1: t1id, varchar1, stuff
> t2: t2id, timestamp, varchar1, varchar2, status
>
> I need to match the most recently entered status from t2 with stuff from
> t1 in MySQL.
>
> t2 is grouped by varchar2.
>
> t1 will have millions of rows. t2 has millions of rows and will grow at 4
> or 5 times the rate of t1. t2.varchar1 will often be NULL. Non-NULL values
> will mostly match up with t1.varchar1. t1.varchar1 can not be NULL.
> varchar2 is a clustering of information about varchar1, but usually only
> one entry in the cluster will have a value for varchar1.
>
> t1.stuff, t2.status == $some_val where max(t2.timestamp) and t1.varchar1
> == t2.varchar1 and t2.varchar2 == t2.varchar2
>
> This is for reporting and will run on a slave.
>
> Any suggestions on how to efficiently build out the report? Unlike my last
> DB job, I can create indexes, views, etc.
>
> I can also add columns to either table.
>
> ciao,
>
> der.hans
> --
> # http://www.LuftHans.com/Classes http://www.TwoGeekTechs.com/
> # Director of Engineering, FonWallet Transaction Solutions, Inc.
> # If you're not learning, you're not living. - der.hans
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