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hadoop aws depenencies in rasterframes-notebooks #38

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vpipkt opened this issue May 30, 2018 · 1 comment
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hadoop aws depenencies in rasterframes-notebooks #38

vpipkt opened this issue May 30, 2018 · 1 comment
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@vpipkt
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vpipkt commented May 30, 2018

Add hadoop aws dependencies for accessing data via s3a in the rasterframes-notebooks build.

May also be good to show this in an example, including authorization.

metasim added a commit that referenced this issue Apr 24, 2019
@metasim metasim added this to the 0.8.1 milestone Jul 25, 2019
@metasim metasim modified the milestones: 0.8.1, 0.8.2 Aug 23, 2019
@vpipkt
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vpipkt commented Aug 23, 2019

Issue is stale. We can read successfully with the following:

But 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.

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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