Ylan,

  Totally agreed.  I set up a Teamcity CI server recently and the GUI config or 
bust nature of it reminded me very much of the crazy WinBatch code I once wrote 
to automate MS SQL’s required semi-daily server reboot.




Rob


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On Fri, Nov 21, 2014 at 9:57 AM, Ylan Segal <[email protected]> wrote:

> Guy, 
> It’s been a while since I have used MS SQL, but one of the things the 
> resonated the most from that article was about the GUI nature of it: It 
> really does seem that the only way to work with it is to use a graphical 
> remote connection to a Windows Server and point and click your way through. 
> That made it really hard to check setting or compare them between servers. A 
> plain config file is so much simpler. Anyway...
> I’m looking forward to seeing your next presentation. 
> -- 
> Ylan Segal
> [email protected]
>> On Nov 21, 2014, at 12:17 AM, Guyren Howe <[email protected]> wrote:
>> 
>> I’ve not worked with it nearly as much as MySQL or Postgres. But seems I can 
>> now be almost as harsh about MS SQL Server as I have been about MySQL:
>> 
>> <http://www.pg-versus-ms.com/>
>> 
>> That just leaves Oracle. I *have* worked a goodly amount with Oracle. Oracle 
>> is significantly better than SQL Server and MySQL. And I can even imagine 
>> situations where I would choose Oracle over Postgres. Were I to describe 
>> such a situation, I would begin with something like “well, I suppose if I 
>> was working for a bank…”.
>> 
>> For everyone else, Postgres is clearly, I will even say outrageously, 
>> obviously, and dramatically, the best database available today.
>> 
>> On related news, I’m currently working on some tests of Postgres’ special 
>> indexes for the next meeting. The GIN index has just received a dramatic 
>> improvement in Postgres 9.4 (both smaller and faster). I’m planning on 
>> presenting results giving an indication about when you might want to use GIN 
>> or GIST indexes. For those who saw my last presentation about indexes, 
>> compound GIN and GIST indexes let the database use any of the columns in the 
>> index for a search. They are rather more complex than BTree for the database 
>> to maintain, so this involves a tradeoff between insert and query time that 
>> ought to be explored in more depth.
>> 
>> I’m planning on running some benchmarks that will give us at least a rough 
>> idea of how GIN and GIST indexes compare for insert and query time against 
>> BTree indexes. If you use Postgres, you should come hear what I find out.
>> 
> -- 
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