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Example using Python coroutine to insert large dataset into PostgreSQL in batches
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# | |
# CAVEAT: untested code intended to demonstrate idea only | |
# | |
from osgeo import ogr, osr | |
import psycopg2 | |
# Read gory details http://www.dabeaz.com/coroutines/Coroutines.pdf | |
def coroutine(func): | |
def start(*args,**kwargs): | |
cr = func(*args,**kwargs) | |
cr.next() | |
return cr | |
return start | |
@coroutine | |
def batch_sql(conn=None, sql=None, batch_size=1000): | |
"""Use executemany() in batches of batch_size""" | |
def execute_sql(conn, sql, namedicts): | |
if len(namedicts) <= 0: | |
return | |
cur = conn.cursor() | |
cur.executemany(sql, namedicts) | |
conn.commit() | |
cur.close() | |
del namedicts[:] | |
pending = [] | |
try: | |
while True: | |
namedict = (yield) | |
pending.append(namedict) | |
if len(pending) == batch_size: | |
execute_sql(conn, sql, pending) | |
except GeneratorExit: | |
execute_sql(conn, sql, pending) | |
def load_wgs84shape2database(connection_dict,table,shapefile,tileset,yyyymm): | |
connect_string = "user=%(user)s password=%(password)s host=%(host)s dbname=%(dbname)s" %connection_dict | |
connection = psycopg2.connect(connect_string) | |
inserter = batch_sql( | |
conn=connection, | |
sql="INSERT INTO "+table+"(tileset,yyyymm,burnday,the_geom) VALUES ('%(tileset)s',%(yyyymm)s,%(burnday)s,st_multi(st_GeomFromText('%(the_geom)s',4326)));" | |
) | |
# Add data to a spatial table | |
src_shapefile = ogr.Open(shapefile) | |
layer = src_shapefile.GetLayer(0) | |
for feature in layer: | |
geom = feature.GetGeometryRef() | |
wkt = geom.ExportToWkt() | |
params = { | |
'tileset':feature.GetField('tileset'), | |
'yyyymm':feature.GetField('YYYYMM'), | |
'burnday':feature.GetField('BurnDay'), | |
'the_geom':wkt | |
} | |
inserter.send(params) | |
inserter.close() | |
print 'Loading shapefile %s was successful' %shapefile | |
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