Its pretty easy with python.
#!/usr/bin/env python
from couchdbkit import Server, Database
from couchdbkit.loaders import FileSystemDocsLoader
from csv import DictReader
import sys, subprocess, math, os
def parseDoc(doc):
for k,v in doc.items():
if (isinstance(v,str)):
#print k, v, v.isdigit()
# #see if this string is really an int or a float
if v.isdigit()==True: #int
doc[k] = int(v)
else: #try a float
try:
if math.isnan(float(v))==False:
doc[k] = float(v)
except:
pass
return doc
def upload(db, docs):
db.bulk_save(docs)
del docs
return list()
def uploadFile(fname, uri, dbname):
print 'Upload contents of %s to %s/%s' % (fname, uri, dbname)
# #connect to the db
theServer = Server(uri)
db = theServer.get_or_create_db(dbname)
#loop on file for upload
reader = DictReader(open(fname, 'rU'), dialect = 'excel') #see the python csv module
#for other options, such as using the tab delimeter. The first line in your csv
#file should contain all of the "key" and all subsequent lines hold the values
#for those keys.
#used for bulk uploading
docs = list()
checkpoint = 100
for doc in reader:
newdoc = parseDoc(doc) #this just converts strings that are really numbers into ints and floats
#Here I check to see if the doc is already on the database. If it is, then I assign
#the _rev key so that it updates the doc on the db.
if db.doc_exist(newdoc.get('_id')):
newdoc['_rev'] = db.get_rev(newdoc.get('_id'))
docs.append(newdoc)
if len(docs)%checkpoint==0:
docs = upload(db,docs)
#don't forget the last batch
docs = upload(db,docs)
if __name__=='__main__':
filename = sys.argv[1]
uri = sys.argv[2]
dbname = sys.argv[3]
uploadFile(filename, uri, dbname)
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…