Reputation: 479
I have been trying to get the blob data from oracle into a text file using Python. I couldn't find the answer on any of the other links.
Below is my code :
sql_string = """select
event_id
,blob_length
,blob field
from table"""
cur.execute(sql_string)
path = "P:/Folders/"
for row in cur:
filename = path + "notes_" + str(row[0]) + "_" + str(row[1]) + ".txt"
f = codecs.open(filename, encoding='utf-8', mode='wb+')
f.write(row[2])
f.close()
I get the below error
TypeError: utf_8_encode() argument 1 must be str, not cx_Oracle.LOB
I have tried a few other ways but the problem is that even other approaches that I've seen only handle strings and not blobs.
Upvotes: 3
Views: 12956
Reputation: 8031
Exporting as TSV (tab separated file) from DataGrip or similar tools, you can convert the hex-data of the blob to Python blob data this way:
import binascii
hexContent = blobContent[1:-1]
blob = binascii.unhexlify(hexContent)
Then you can save it to a file (remember 'wb' to save as blob), or work with it as normal blob in other ways
Upvotes: 0
Reputation: 10506
If your LOBs are small enough to fit in memory you'll get better performance if you fetch BLOBs as LONG_BINARY (and use LONG_STRING for CLOBs):
def OutputTypeHandler(cursor, name, defaultType, size, precision, scale):
if defaultType == cx_Oracle.CLOB:
return cursor.var(cx_Oracle.LONG_STRING, arraysize = cursor.arraysize)
if defaultType == cx_Oracle.BLOB:
return cursor.var(cx_Oracle.LONG_BINARY, arraysize = cursor.arraysize)
See the cx_Oracle example at https://github.com/oracle/python-cx_Oracle/blob/master/samples/ReturnLobsAsStrings.py
Upvotes: 2
Reputation: 479
Implemented what @blhsing suggested and it worked out perfectly
for row in cur:
filename = path + "notes_" + str(row[0]) + "_" + str(row[1]) + ".txt"
print(row[2].read())
f = open(filename, "wb")
f.write(row[2].read())
f.close()
Upvotes: 3
Reputation: 106618
You have to use the cx_oracle.LOB.read()
method to get the content of the LOB
object:
f.write(row[2].read())
Upvotes: 3