Before I respond. can you give a rough idea of your metric for "big" is (or
how many dataset elements and catalogRefs).
On Jan 4, 2011, at 8:35 AM, Roland Schweitzer wrote:
> Thanks John. Among the groups we collaborate with there are some folks that
> are quite concerned about the scaling issue. Personally, my direct
> experience at this point that indicates that the performance is just fine (at
> least so far) even with our largest catalogs.
> What's the experience of the list? Are folks seeing unacceptable TDS
> initialization because of time spend reading catalogs? The thread from John
> Maurer about aggregation access issues notwithstanding.
> On 01/03/2011 07:34 PM, John Caron wrote:
>> On 1/3/2011 10:53 AM, Roland Schweitzer wrote:
>>> We're starting to put together some "big" server-side configuration
>>> catalogs (both with "lots" of dataset elements and "lots" of catalogRef
>>> elements). We are wondering about the process TDS goes through to read the
>>> catalog when is starts. What gets cached? Does it have a way to know a
>>> referenced catalog is unchanged? When do referenced catalogs get scanned?
>>> And so on.
>>> Is there some documentation or a flow chart on how TDS initializes itself?
>>> thredds mailing list
>>> For list information or to unsubscribe, visit:
>> Hi Roland:
>> The sad answer is theres not much documentation. Weve been on the verge of
>> redoing the initialization sequence for a few years now, so weve been
>> waiting so we can document the clean, cool refactor instead of the crufty,
>> lame current one.
>> Anyway, the TDS reads in all the config catalogs at startup. It caches all
>> of them, and uses the "expires" attribute on the catalog to decide if/when
>> it needs to reread a catalog. It needs to read all catalogs, including
>> catalogRef, because it has to know what the possible dataset URLs are, and
>> there is no contract that a client has to read a catalog first.
>> Obviously this doesnt scale forever. Ethan can probably fill in some details.
>> thredds mailing list
>> For list information or to unsubscribe, visit:
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