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Mastering PostGIS

You're reading from   Mastering PostGIS Modern ways to create, analyze, and implement spatial data

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781784391645
Length 328 pages
Edition 1st Edition
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Authors (4):
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Dominik Mikiewicz Dominik Mikiewicz
Author Profile Icon Dominik Mikiewicz
Dominik Mikiewicz
Michal Mackiewicz Michal Mackiewicz
Author Profile Icon Michal Mackiewicz
Michal Mackiewicz
Tomasz Nycz Tomasz Nycz
Author Profile Icon Tomasz Nycz
Tomasz Nycz
George Silva George Silva
Author Profile Icon George Silva
George Silva
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Toc

Table of Contents (10) Chapters Close

Preface 1. Importing Spatial Data FREE CHAPTER 2. Spatial Data Analysis 3. Data Processing - Vector Ops 4. Data Processing - Raster Ops 5. Exporting Spatial Data 6. ETL Using Node.js 7. PostGIS – Creating Simple WebGIS Applications 8. PostGIS Topology 9. pgRouting

Outputting raster using psql


When you read through the PostGIS documentation carefully, you might find a really short section on using psql to export rasters. Basically, psql does not provide the functionality to easily output binary data, so the approach here is a bit hackish, and relies on the large object support in PostgreSQL (it is worth noting, though, that large object support is considered obsolete in the PgSQL documentation). The steps required to export a raster this way are as follows:

  • Create a large object
  • Output the raster data as bytea
  • Open the large object and write the output bytea
  • Export the large object
  • Unlink it to clean the resources

First, let's make this work in interactive psql mode. Type the following in psql, once connected to our mastering_postgis database:

select 
   loid,
   lowrite(lo_open(loid, 131072), gtiff) as bytesize
from (
   select 
      lo_create(0) as loid,
      ST_AsGDALRaster(rast, 'GTiff') as gtiff
   from (
      select
         ST_Union(rast) as rast...
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