using pyodbc on ubuntu to insert a image field on SQL Server - python

I am using Ubuntu 9.04
I have installed the following package versions:
unixodbc and unixodbc-dev: 2.2.11-16build3
tdsodbc: 0.82-4
libsybdb5: 0.82-4
freetds-common and freetds-dev: 0.82-4
python2.6-dev
I have configured /etc/unixodbc.ini like this:
[FreeTDS]
Description = TDS driver (Sybase/MS SQL)
Driver = /usr/lib/odbc/libtdsodbc.so
Setup = /usr/lib/odbc/libtdsS.so
CPTimeout =
CPReuse =
UsageCount = 2
I have configured /etc/freetds/freetds.conf like this:
[global]
tds version = 8.0
client charset = UTF-8
text size = 4294967295
I have grabbed pyodbc revision 31e2fae4adbf1b2af1726e5668a3414cf46b454f from http://github.com/mkleehammer/pyodbc and installed it using "python setup.py install"
I have a windows machine with Microsoft SQL Server 2000 installed on my local network, up and listening on the local ip address 10.32.42.69. I have an empty database created with name "Common". I have the user "sa" with password "secret" with full privileges.
I am using the following python code to setup the connection:
import pyodbc
odbcstring = "SERVER=10.32.42.69;UID=sa;PWD=secret;DATABASE=Common;DRIVER=FreeTDS"
con = pyodbc.connect(odbcstring)
cur = con.cursor()
cur.execute("""
IF EXISTS(SELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'testing')
DROP TABLE testing
""")
cur.execute('''
CREATE TABLE testing (
id INTEGER NOT NULL IDENTITY(1,1),
myimage IMAGE NULL,
PRIMARY KEY (id)
)
''')
con.commit()
Everything WORKS up to this point. I have used SQLServer's Enterprise Manager on the server and the new table is there.
Now I want to insert some data on the table.
cur = con.cursor()
# using web data for exact reproduction of the error by all.
# I'm actually reading a local file in my real code.
url = 'http://www.forestwander.com/wp-content/original/2009_02/west-virginia-mountains.jpg'
data = urllib2.urlopen(url).read()
sql = "INSERT INTO testing (myimage) VALUES (?)"
Now here on my original question, I was having trouble using cur.execute(sql, (data,)) but now I've edited the question, because following Vinay Sajip's answer below (THANKS), I have changed it to:
cur.execute(sql, (pyodbc.Binary(data),))
con.commit()
And insertion is working perfectly. I can confirm the size of the inserted data using the following test code:
cur.execute('SELECT DATALENGTH(myimage) FROM testing WHERE id = 1')
data_inside = cur.fetchone()[0]
assert data_inside == len(data)
Which passes perfectly!!!
Now the problem is on retrieval of the data back.
I am trying the common approach:
cur.execute('SELECT myimage FROM testing WHERE id = 1')
result = cur.fetchone()
returned_data = str(result[0]) # transforming buffer object
print 'Original: %d; Returned: %d' % (len(data), len(returned_data))
assert data == returned_data
However that fails!!
Original: 4744611; Returned: 4096
Traceback (most recent call last):
File "/home/nosklo/devel/teste_mssql_pyodbc_unicode.py", line 53, in <module>
assert data == returned_data
AssertionError
I've put all the code above in a single file here, for easy testing of anyone that wants to help.
Now for the question:
I want python code to insert an image file into mssql. I want to query the image back and show it to the user.
I don't care about the column type in mssql. I am using the "IMAGE" column type on the example, but any binary/blob type would do, as long as I get the binary data for the file I inserted back unspoiled. Vinay Sajip said below that this is the preferred data type for this in SQL SERVER 2000.
The data is now being inserted without errors, however when I retrieve the data, only 4k are returned. (Data is truncated on 4096).
How can I make that work?
EDITS: Vinay Sajip's answer below gave me a hint to use pyodbc.Binary on the field. I have updated the question accordingly. Thanks Vinay Sajip!
Alex Martelli's comment gave me the idea of using the DATALENGTH MS SQL function to test if the data is fully loaded on the column. Thanks Alex Martelli !

Huh, just after offering the bounty, I've found out the solution.
You have to use SET TEXTSIZE 2147483647 on the query, in addition of text size configuration option in /etc/freetds/freetds.conf.
I have used
cur.execute('SET TEXTSIZE 2147483647 SELECT myimage FROM testing WHERE id = 1')
And everything worked fine.
Strange is what FreeTDS documentation says about the text size configuration option:
default value of TEXTSIZE, in bytes. For text and image datatypes, sets the maximum width of any returned column. Cf. set TEXTSIZE in the T-SQL documentation for your server.
The configuration also says that the maximum value (and the default) is 4,294,967,295. However when trying to use that value in the query I get an error, the max number I could use in the query is 2,147,483,647 (half).
From that explanation I thought that only setting this configuration option would be enough. It turns out that I was wrong, setting TEXTSIZE in the query fixed the issue.
Below is the complete working code:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pyodbc
import urllib2
odbcstring = "SERVER=10.32.42.69;UID=sa;PWD=secret;DATABASE=Common;DRIVER=FreeTDS"
con = pyodbc.connect(odbcstring)
cur = con.cursor()
cur.execute("""
IF EXISTS(SELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'testing')
DROP TABLE testing
""")
cur.execute('''
CREATE TABLE testing (
id INTEGER NOT NULL IDENTITY(1,1),
myimage IMAGE NULL,
PRIMARY KEY (id)
)
''')
con.commit()
cur = con.cursor()
url = 'http://www.forestwander.com/wp-content/original/2009_02/west-virginia-mountains.jpg'
data = urllib2.urlopen(url).read()
sql = "INSERT INTO testing (myimage) VALUES (?)"
cur.execute(sql, (pyodbc.Binary(data),))
con.commit()
cur.execute('SELECT DATALENGTH(myimage) FROM testing WHERE id = 1')
data_inside = cur.fetchone()[0]
assert data_inside == len(data)
cur.execute('SET TEXTSIZE 2147483647 SELECT myimage FROM testing WHERE id = 1')
result = cur.fetchone()
returned_data = str(result[0])
print 'Original: %d; Returned; %d' % (len(data), len(returned_data))
assert data == returned_data

I think you should be using a pyodbc.Binary instance to wrap the data:
cur.execute('INSERT INTO testing (myimage) VALUES (?)', (pyodbc.Binary(data),))
Retrieving should be
cur.execute('SELECT myimage FROM testing')
print "image bytes: %r" % str(cur.fetchall()[0][0])
UPDATE: The problem is in insertion. Change your insertion SQL to the following:
"""DECLARE #txtptr varbinary(16)
INSERT INTO testing (myimage) VALUES ('')
SELECT #txtptr = TEXTPTR(myimage) FROM testing
WRITETEXT testing.myimage #txtptr ?
"""
I've also updated the mistake I made in using the value attribute in the retrieval code.
With this change, I'm able to insert and retrieve a 320K JPEG image into the database (retrieved data is identical to inserted data).
N.B. The image data type is deprecated, and is replaced by varbinary(max) in later versions of SQL Server. The same logic for insertion/retrieval should apply, however, for the newer column type.

I had a similar 4096 truncation issue on TEXT fields, which SET TEXTSIZE 2147483647 fixed for me, but this also fixed it for me:
import os
os.environ['TDSVER'] = '8.0'

Related

Are spatial queries possible using Python and cx_Oracle?

I am trying to execute a spatial query on an Oracle spatial table via python using the cx_Oracle package.
I can make generic queries successfully, but when I try a spatial query it results in errors.
This is what I have tried:
import cx_Oracle
...
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lat = 36.585289
# open a connection to oracle
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try:
# execute the distance sql
cur.execute(sql, id=id, obj=obj)
print(f'The id is {id.getvalue()}')
except cx_Oracle.Error as error:
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which results in the error:
ORA-01036: illegal variable name/number
Can anyone tell me what I may be doing wrong code-wise or if spatial queries are even possible using Python and cx_Oracle? The cx_Oracle documentation doesn't specifically address this as far as I can tell/find.
There is a brief mention in the documentation:
Binding Spatial Datatypes
Here are two examples from the cx_Oracle source code repository:
InsertGeometry.py
SpatialToGeoPandas.py
Here's a presentation from the recent Oracle Conference:
Analyzing Location-based Patterns with Python and Oracle Database
The download links are there but may not be obvious pdf and zip.
In your example, you probably need to do at least id = cursor.var(int), see Bind Direction so cx_Oracle knows what to do with the value you are getting from the DB.
I think the "select into" was the problem (reserved for pl/sql?).
By doing the following I was able to obtain the answer:
# set up a distance-calculating sql statement
sql = """select id from spatialtbl s where sdo_nn(s.geometry, :ob, 'sdo_num_res=1', 1) = 'TRUE'"""
try:
# execute the distance sql
cur.execute(sql, ob=obj)
id = cur.fetchone()
print(f'The id is {id}')
except cx_Oracle.Error as error:
print(error)

Add list of values to a blob field in firebird using Python

I have a list of items which I like to store in my firebird database.
Thus far I made the following code
Sens=278.3
DSens=1.2
Fc10=3.8
Bw10=60.0
Fc20=4.2
Bw20=90.0
ResultArray = (Sens,DSens,Fc10,Bw10,Fc20,Bw20,t6,t20,Nel,Nsub)
con = fdb.connect(dsn="192.168.0.2:/database/us-database/usdb.gdb", user="sysdba", password="#########")
cur = con.cursor()
InsertStatement="insert into Tosh_Probe (TestResults ) Values (?)"
cur.execute(InsertStatement, (ResultArray,))
con.commit()
In here the TestResult field is blob field in my database.
This gives a TypeError (???)
What is the correct syntax to store these values into a blob
An other option I tried is to write the list of items into a StringIO, and store that in the database. Now a new entry is made in the database but no data is added to the blob field
Here is the code for adding the fields to the StringIO
ResultArray = StringIO.StringIO()
ResultArray.write = Sens
ResultArray.write = DSens
#ResultArray.close #tried with and without this line but with the same result
I've tested this with Python 3.5.1 and FDB 1.6. The following variants of writing all work (into a blob sub_type text):
import fdb
import io
con = fdb.connect(dsn='localhost:testdatabase', user='sysdba', password='masterkey')
cur = con.cursor()
statement = "insert into blob_test2 (text_blob) values (?)"
cur.execute(statement, ("test blob as string",))
cur.execute(statement, (io.StringIO("test blob as StringIO"),))
streamwrites = io.StringIO()
streamwrites.write("streamed write1,")
streamwrites.write("streamed write2,")
streamwrites.seek(0)
cur.execute(statement, (streamwrites,))
con.commit()
con.close()
The major differences with your code in the case of the the writes to StringIO are:
Use of write(...) instead of write = ...
Use of seek(0) to position the stream at the start, otherwise you read nothing, as the stream is positioned after the last write.
I haven't tried binary IO, but I expect that to work in a similar fashion.

using python 2.7 to query sqlite3 database and getting "sqlite3 operational error no such table"

My simple test code is listed below. I created the table already and can query it using the SQLite Manager add-in on Firefox so I know the table and data exist. When I run the query in python (and using the python shell) I get the no such table error
def TroyTest(self, acctno):
conn = sqlite3.connect('TroyData.db')
curs = conn.cursor()
v1 = curs.execute('''
SELECT acctvalue
FROM balancedata
WHERE acctno = ? ''', acctno)
print v1
conn.close()
When you pass SQLite a non-existing path, it'll happily open a new database for you, instead of telling you that the file did not exist before. When you do that, it'll be empty and you'll instead get a "No such table" error.
You are using a relative path to the database, meaning it'll try to open the database in the current directory, and that is probably not where you think it is..
The remedy is to use an absolute path instead:
conn = sqlite3.connect('/full/path/to/TroyData.db')
You need to loop over the cursor to see results:
curs.execute('''
SELECT acctvalue
FROM balancedata
WHERE acctno = ? ''', acctno)
for row in curs:
print row[0]
or call fetchone():
print curs.fetchone() # prints whole row tuple
The problem is the SQL statment. you must specify the db name and after the table name...
'''SELECT * FROM db_name.table_name WHERE acctno = ? '''

DB-API with Python

I'm trying to insert some data into a local MySQL database by using MySQL Connector/Python -- apparently the only way to integrate MySQL into Python 3 without breaking out the C Compiler.
I tried all the examples that come with the package; Those who execute can enter data just fine. Unfortunately my attempts to write anything into my tables fail.
Here is my code:
import mysql.connector
def main(config):
db = mysql.connector.Connect(**config)
cursor = db.cursor()
stmt_drop = "DROP TABLE IF EXISTS urls"
cursor.execute(stmt_drop)
stmt_create = """
CREATE TABLE urls (
id TINYINT UNSIGNED NOT NULL AUTO_INCREMENT,
str VARCHAR(50) DEFAULT '' NOT NULL,
PRIMARY KEY (id)
) CHARACTER SET 'utf8'"""
cursor.execute(stmt_create)
cursor.execute ("""
INSERT INTO urls (str)
VALUES
('reptile'),
('amphibian'),
('fish'),
('mammal')
""")
print("Number of rows inserted: %d" % cursor.rowcount)
db.close()
if __name__ == '__main__':
import config
config = config.Config.dbinfo().copy()
main(config)
OUTPUT:
Number of rows inserted: 4
I orientate my code strictly on what was given to me in the examples and can't, for the life of mine, figure out what the problem is. What am I doing wrong here?
Fetching table data with the script works just fine so I am not worried about the configuration files. I'm root on the database so rights shouldn't be a problem either.
You need to add a db.commit() to commit your changes before you db.close()!

MySql: How to know if an entry is compressed or not

I'm working with python and mysql and I want to verify that a certain entry is compressed in the db. Ie:
cur = db.getCursor()
cur.execute('''select compressed_column from table where id=12345''')
res = cur.fetchall()
at this point I would like to verify that the entry is compressed (ie in order to work with the data you would have to use select uncompress(compressed_column)..). Ideas?
COMPRESS() on MySQL uses zlib, therefore you can try the following to see if the string is compressed:
try:
out = s.decode('zlib')
except zlib.error:
out = s

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