使用 Dataflow + Beam + Python 从 Google Cloud Storage 读取 Shapefile

Question

如何使用 Dataflow + Beam + Python.
从 Google 云存储中读取 Shapefile 我只找到 beam.io.ReadFromText，但 python shapefile reader 需要类似文件的对象：shp.Reader(shp=shp_file, dbf=dbf_file) 或 shapefile。
我正在使用 Python 2.7.

Answer 1

方法如下：

prj_file =  beam.io.gcp.gcsio.GcsIO().open(
    filenamePRJ, 
    mode='r',
    read_buffer_size=1677721600, 
    mime_type='application/octet-stream'
)

shp_file = beam.io.gcp.gcsio.GcsIO().open(
    filenameSHP, 
    mode='r',
    read_buffer_size=1677721600,
    mime_type='application/octet-stream'
)

dbf_file =  beam.io.gcp.gcsio.GcsIO().open(
    filenameDBF,
    mode='r',
    read_buffer_size=1677721600,
    mime_type='application/octet-stream'
)

sf = shp.Reader(shp=shp_file, dbf=dbf_file)      
euref  = osr.SpatialReference()
euref.ImportFromWkt(str(prj_file.read()))
wgs84 = osr.SpatialReference()
wgs84.ImportFromEPSG(4326)
transformation = osr.CoordinateTransformation(euref,wgs84)

Answer 2

这里是 python 包，其中包含用于读取 Shapefile 的自定义 Beam I/O 连接器：https://github.com/GoogleCloudPlatform/dataflow-geobeam

使用 Dataflow + Beam + Python 从 Google Cloud Storage 读取 Shapefile

Read Shapefile from Google Cloud Storage using Dataflow + Beam + Python

python

shapefile

google-cloud-storage

google-cloud-dataflow

apache-beam