Looking at the gdalinfo output: perhaps it is faster when you set other 
blocksizes with gdal_translate first "-co BLOCKXSIZE=512 -co BLOCKYSIZE=512 -co 
TILED=YES"

These creation options are also available for overviews themselfes, with 
different syntax though.

Regards
Stefan

Von meinem iPhone gesendet

> Am 18.10.2014 um 00:19 schrieb Stefan Keller <[email protected]>:
> 
> Jonathan
> 
> Thanks for asking. See below the output of gdalinfo.
> 
> Yours, S.
> 
> 
>> gdalinfo zh.tif
> Driver: GTiff/GeoTIFF
> Files: zh.tif
> Size is 152498, 190232
> Coordinate System is:
> PROJCS["CH1903 / LV03",
>    GEOGCS["CH1903",
>        DATUM["CH1903",
>            SPHEROID["Bessel 1841",6377397.155,299.1528128000009,
>                AUTHORITY["EPSG","7004"]],
>            TOWGS84[674.4,15.1,405.3,0,0,0,0],
>            AUTHORITY["EPSG","6149"]],
>        PRIMEM["Greenwich",0],
>        UNIT["degree",0.0174532925199433],
>        AUTHORITY["EPSG","4149"]],
>    PROJECTION["Hotine_Oblique_Mercator"],
>    PARAMETER["latitude_of_center",46.95240555555556],
>    PARAMETER["longitude_of_center",7.439583333333333],
>    PARAMETER["azimuth",90],
>    PARAMETER["rectified_grid_angle",90],
>    PARAMETER["scale_factor",1],
>    PARAMETER["false_easting",600000],
>    PARAMETER["false_northing",200000],
>    UNIT["metre",1,
>        AUTHORITY["EPSG","9001"]],
>    AUTHORITY["EPSG","21781"]]
> Origin = (669243.920000001790000,283343.191250000090000)
> Pixel Size = (0.312500368857287,-0.312499428329607)
> Metadata:
>  AREA_OR_POINT=Area
> Image Structure Metadata:
>  COMPRESSION=LZW
>  INTERLEAVE=BAND
> Corner Coordinates:
> Upper Left  (  669243.920,  283343.191) (  8d21'43.79"E, 47d41'54.41"N)
> Lower Left  (  669243.920,  223895.800) (  8d21'10.57"E, 47d 9'49.48"N)
> Upper Right (  716899.601,  283343.191) (  8d59'49.11"E, 47d41'30.00"N)
> Lower Right (  716899.601,  223895.800) (  8d58'53.05"E, 47d 9'25.32"N)
> Center      (  693071.761,  253619.496) (  8d40'24.09"E, 47d25'41.40"N)
> Band 1 Block=152498x1 Type=Byte, ColorInterp=Gray
>  Min=1.000 Max=255.000
>  Minimum=1.000, Maximum=255.000, Mean=231.759, StdDev=73.234
>  NoData Value=0
>  Overviews: 76249x95116, 38125x47558, 19063x23779, 9532x11890, 4766x5945, 
> 2383x
> 2973, 1192x1487
>  Metadata:
>    STATISTICS_MAXIMUM=255
>    STATISTICS_MEAN=231.75856617323
>    STATISTICS_MINIMUM=1
>    STATISTICS_STDDEV=73.233598475527
> 
> 
> 
> 2014-10-13 15:05 GMT+02:00 Jonathan Moules <[email protected]>:
>> Hi Stefan,
>> How large is the image? As in, pixel width & height.
>> 
>> Also the GDALinfo would be helpful.
>> 
>> 7 days is a very long time. I've seen times like that myself for images that 
>> were 100,000*50,000 or similar dimensions where there was (still is?) an 
>> issue with the pyramiding function in GDAL (it was re-reading the data again 
>> and again).
>> 
>> Cheers,
>> Jonathan
>> 
>> -----Original Message-----
>> From: [email protected] 
>> [mailto:[email protected]] On Behalf Of Stefan Keller
>> Sent: Sunday, October 12, 2014 1:34 PM
>> To: [email protected]; qgis-user
>> Subject: [Qgis-user] Generating GeoTIFF overview ("gdaladdo -r gauss ...") 
>> takes days for 2GB file...
>> 
>> Hi,
>> 
>> I have a GeoTIFF file of 2GB size. Now, this question is about gdaladdo and 
>> how to optimize loading time of such a large raster file.
>> 
>> According to my observations QGIS has fastest loading times when it's a 
>> single GeoTIFF file with overview images.
>> 
>> Q.1: Does anybody have tipps for even faster solutions loading raster files 
>> into in QGIS (prepared by OGR or other preprocessors)?
>> 
>> The command "gdaladdo -r gauss C:\SG.tif  2 4 8 16 32 64 128 256"
>> takes actually about 7 days on a Lenovo notebook.
>> 
>> Q2.: Any hint's on how to accelerate this (or to other tools generating 
>> overviews/pyramids)?
>> 
>> Yours, S.
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