[OSGeo-Discuss] Re: "git" like for geodata management
nsicad at gmail.com
Wed Sep 22 20:22:17 PDT 2010
PostgreSQL Synchronization Tool --- psync 
" The article introduces a method of synchronizing two PostgreSQL
databases. Although, this seems to be an easy task, no product (slony,
londiste, ...) really satisfied the needs within the maps.bremen.de
project. Either they have special prerequsits that didn't apply for
our problem or they didn't support synchronizing of large objects.
Large objects are used to store tiles of a street/aerial map within
PostgreSQL. My GIS-server queries the database and gets the tiles out.
By using this construction we are getting a flexible infrastructure
for updating and maintaining different versions of the maps.
Everything was working fine until the service needs to be spread over
three servers. How can we easily synchronize the databases? I really
found no really working solution that is clean and easy to use. "
On 9/23/10, Ragi Burhum <ragi at burhum.com> wrote:
> Are you looking for an alternative to (1)ESRI's versioning, (2)ESRI's
> disconnected editing, or a mix of both (3)git like? the scenario that you
> described first was more like (2), but this one fits (1).
> I would love to see something like (3), but truth of the matter, AFAIK,
> there is nothing like that implemented for geo (yet).
> On Sep 22, 2010, at 9:00 AM, discuss-request at lists.osgeo.org wrote:
>> On Wed, 2010-09-22 at 12:10 +0800, maning sambale wrote:
>>> Any real world cases for this?
>> Imagine the following scenario:
>> * 50 ~ 70 digitizers
>> * 5 QA
>> * 1 Manager
>> Each QA has 10 digitizers assigned. After all the data is validated, the
>> manager merges it and generates the geodb.
>> All users work against the same DB, most of them linked. This causes
>> disconnections, duplicated data, and lots of random errors.
>> Also, they can't be forced to work on different DB's because they are
>> all working on the same project, at the same time.
>> This is the real scenario of GISWorking (http://www.gisworking.com/), a
>> company we are working with.
>> It would be perfect to have smaller groups (ideally 1 person), working
>> against separated databases, but that can be synchronized with the rest
>> of the data when needed.
>> Then each QA merges data from the people he supervises. After it's
>> validated the manager merges the complete dataset, and generates the
>> final "product".
>> I don't know if this it's the exact same case, but we are working on it
>> with a similar approach.
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