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Currently I am using QGIS tool to generate the shape files for my Qlikmap reports.
While creating the shape files for differnent territories\State\Area there is one step to dissolve it. Dissolving any shape files is taking a lot of time(Around 2-3 days) .
Is there any way can we do it faster?
Will appreciate your help.
Thanks
Agrawalla
I believe .SHP files will not work in Qlik View/Qlik Maps.
You would need KML files to load the boundaries for State or Area.
Have you already tried loading .SHP files in Qlik Maps and checked if you can see the boundaries for polygon map?
.SHP/MKL files can be only used for polygon map.
For bubble/points map you can do it by Latitude & Longitude.
Hi Agrawalla,
I share your pain!
I explored a lot of options and in the end I created co-ordinate sets to create polygons which I then used.
The extension can't handle loads at once, maybe 100ish tops before it starts to crash out.
I was lucky in that I found some GEOJSON files with the boundaries in them which I could then extract and create the necessary coordinates.
Thanks for your reply.
Once the shape file created, then I convert them into .csv file using QGIS plugins. In Qlikmap I use the .csv file not the shape files directly.
Is there any way we can create the .shp file fast?
Thanks
Hi Adam,
Thanks for the reply.
how GEOJSON is different from QGIS? Also how much time does it take while dissolving any shape files in GEOJSON?
Also wanted to know if GEOJSON is open source or paid software.
Thanks.
GEOJSON is a particular format,
take a look here:
india/india_district.geojson at master · geohacker/india · GitHub
I've just blogged some of the stuff I have done recently
http://qlikanddirty.com/2016/12/02/sql-geography-and-geojson/
If you've Alteryx software (Paid) then it will much faster and easier.
However you can Geocode 1000 data points for free (I guess).
I'm not sure what your workflow is from the description. Dissolve merges shapes based on an attribute value, as far as I understand. If QGIS is slow with that, there are certainly alternatives - like using v.dissolve in GRASS (you can get QGIS with GRASS), or even trying to use QlikSense just for that - export your KML without dissolving (it will likely be huge and way too big to be used directly in maps), then after loading into Sense aggregate with GeoAggrGeometry or GeoReduceGeometry