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hadoop aws depenencies in rasterframes-notebooks #38
The errror we see on stderr is below. This all seems consistent with documented use of HDFS versus GDAL schemes and such. Will file a new issue to clarify the fix for this.
ERROR 4: landsat-pds/c1/L8/190/028/LC08_L1TP_190028_20190705_20190719_01_T1/LC08_L1TP_190028_20190705_20190719_01_T1_B8.TIF: No such file or directory
2019-08-23 17:39:45 ERROR RasterSourceToRasterRefs:77 - Error fetching data for one of: GDALRasterSource(s3a://landsat-pds/c1/L8/190/028/LC08_L1TP_190028_20190705_20190719_01_T1/LC08_L1TP_190028_20190705_20190719_01_T1_B8.TIF)
java.lang.Exception: get_transform or get_widht_height
at geotrellis.contrib.vlm.gdal.GDALDataset$.rasterExtent$extension1(GDALDataset.scala:45)
at geotrellis.contrib.vlm.gdal.GDALDataset$.rasterExtent$extension0(GDALDataset.scala:37)
at geotrellis.contrib.vlm.gdal.GDALBaseRasterSource$class.rasterExtent(GDALBaseRasterSource.scala:69)
at geotrellis.contrib.vlm.gdal.GDALRasterSource.rasterExtent$lzycompute(GDALRasterSource.scala:22)
at geotrellis.contrib.vlm.gdal.GDALRasterSource.rasterExtent(GDALRasterSource.scala:22)
at geotrellis.contrib.vlm.RasterSource$class.cols(RasterSource.scala:76)
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Activity
Merge pull request #38 from s22s/feature/rasterSourceSpec-has-gdal-check
vpipkt commentedon Aug 23, 2019
Issue is stale. We can read successfully with the following:
https://${bucket}.s3.${region}.amazonaws.com/${prefix}s3://${bucket}/${prefix}gdal://vsis3/${bucket}/${prefix}** caveat if there is an appropriate ~/.aws/credentials file in the container see rf-notebooks instructions for accessing s3 buckets #266But not this:
s3a://${bucket}/${prefix}The errror we see on stderr is below. This all seems consistent with documented use of HDFS versus GDAL schemes and such. Will file a new issue to clarify the fix for this.