Working with an Access database in Python on non-Windows platform (Linux or Mac)

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Solution 1

On Mac OSx and Ubuntu 18.04 you can use pandas_access

From the documentation:

import pandas_access as mdb

db_filename = 'my_db.mdb'

# Listing the tables.
for tbl in mdb.list_tables(db_filename):
  print(tbl)

# Read a small table.
df = mdb.read_table(db_filename, "MyTable")

On Ubuntu you may need to run:

sudo apt install mdbtools

Solution 2

"From my research, pyodbc can only be used on Windows platform"

Not true. The main pyodbc page says

Precompiled binary wheels are provided for most Python versions on Windows and macOS. On other operating systems [pip install pyodbc] will build from source.

However, it is certainly true that using ODBC to manipulate an Access database is mainly done on Windows. "MDB Tools", along with "unixODBC", is often mentioned as a way to work with Access databases on non-Windows platforms, but in my limited experience I have found that it really just doesn't work very well (when it works at all).

Of course, you can always purchase a third-party MS Access ODBC driver for your non-Windows platform, but if you want a free open-source solution you can use the UCanAccess JDBC driver. There are two ways to accomplish that: JayDeBeApi, and Jython.

In both cases you will need to download the latest version of UCanAccess (available for download here) and unpack the "bin.zip" file to a convenient location, making sure to preserve the folder structure:

UCanAccess folder

(In the following examples I unpacked it to ~/Downloads/JDBC/UCanAccess.)

 

Option 1: JayDeBeApi

This is the preferred option since it should work with your existing Python setup. You can install JayDeBeApi with pip.

If you don't already have a JRE (Java Runtime Environment) installed then you'll need that, too. (I used sudo apt install default-jre on Ubuntu.)

Once the required components are in place you should be able to use code like this:

import jaydebeapi

db_path = "/home/gord/test.accdb"

ucanaccess_jars = [
    "/home/gord/Downloads/JDBC/UCanAccess/ucanaccess-5.0.0.jar",
    "/home/gord/Downloads/JDBC/UCanAccess/lib/commons-lang3-3.8.1.jar",
    "/home/gord/Downloads/JDBC/UCanAccess/lib/commons-logging-1.2.jar",
    "/home/gord/Downloads/JDBC/UCanAccess/lib/hsqldb-2.5.0.jar",
    "/home/gord/Downloads/JDBC/UCanAccess/lib/jackcess-3.0.1.jar",
]
classpath = ":".join(ucanaccess_jars)
cnxn = jaydebeapi.connect(
    "net.ucanaccess.jdbc.UcanaccessDriver",
    f"jdbc:ucanaccess://{db_path};newDatabaseVersion=V2010",
    ["", ""],
    classpath
    )
crsr = cnxn.cursor()
try:
    crsr.execute("DROP TABLE table1")
    cnxn.commit()
except jaydebeapi.DatabaseError as de:
    if "user lacks privilege or object not found: TABLE1" in str(de):
        pass
    else:
        raise
crsr.execute("CREATE TABLE table1 (id COUNTER PRIMARY KEY, fname TEXT(50))")
cnxn.commit()
crsr.execute("INSERT INTO table1 (fname) VALUES ('Gord')")
cnxn.commit()
crsr.execute("SELECT * FROM table1")
for row in crsr.fetchall():
    print(row)
crsr.close()
cnxn.close()

 

Option 2: Jython

(Note that Jython is a separate implementation of Python, it only supports Python 2.7, and is apparently no longer under active development.)

Important: The following instructions are for UCanAccess version 3.0.5 or later.

After ...

  • installing Jython (via sudo apt-get install jython on Ubuntu) and
  • downloading UCanAccess and unpacking it as described above

I created the following Jython script named "dbTest.py"

from com.ziclix.python.sql import zxJDBC

jdbc_url = "jdbc:ucanaccess:///home/gord/Documents/test.accdb"
username = ""
password = ""
driver_class = "net.ucanaccess.jdbc.UcanloadDriver"

cnxn = zxJDBC.connect(jdbc_url, username, password, driver_class)
crsr = cnxn.cursor()
crsr.execute("SELECT AgentName FROM Agents")
for row in crsr.fetchall():
    print row[0]
crsr.close()
cnxn.close()

and ran it with the following shell script

#!/bin/bash
export CLASSPATH=.:/home/gord/Downloads/JDBC/UCanAccess/loader/ucanload.jar
jython dbTest.py
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Updated on June 17, 2020

Comments

  • user2948166
    user2948166 almost 4 years

    I want to access the data in a Microsoft Access database. I have some .accdb and .mdb files and want to read them in Python.

    From my research, pyodbc can only be used on Windows platform, but I am working on Mac OS X. I am new to Python.

    The other option is if I could export the data from the database to a csv and then use in python.

    Any help or starting would be highly appreciated.

  • Shravy
    Shravy about 8 years
    can you please help me on Jython setup, i am getting the error - No module named com.ziclix.python.sql.
  • Sabin Chacko
    Sabin Chacko over 7 years
    @ShravyaShetty Run it with using jython instead of 'python'.. It didn't solve my problem though. But your error is because of running with python.
  • cwirz
    cwirz about 7 years
    How would you open a password encrypted database using jackcess-encrypt-2.x.x with this method?
  • Gord Thompson
    Gord Thompson about 7 years
    It is certainly possible to install pyodbc on non-Windows machines, but you'd still need an ODBC driver for the Access database. That's the difficulty.
  • Admin
    Admin over 5 years
    I am getting error: [Errno 2] No such file or directory: 'mdb-schema': 'mdb-schema'
  • mattmc3
    mattmc3 over 5 years
    That's because pandas_access is just a subprocess calling wrapper around an old and unmaintained CLI utility: mdbtools. mdbtools.sourceforge.net . Not super helpful for modern uses.
  • Richard
    Richard over 5 years
    The service wasn't free. See this answer for an open source solution.
  • mattmc3
    mattmc3 over 5 years
    Did you even try it before downvoting? It was absolutely free for me for my small MS Access DB. There's probably a tier that requires payment, but I found this question while trying to do a conversion myself and none of the existing answers got me there which is why I posted what actually worked for me. I don't pay for this kind of stuff.
  • Richard
    Richard over 5 years
    I did try it. Twice. From different browsers. My database had 300 rows. Maybe they've changed their pricing scheme since you used, or maybe the difference arises from some other reason. But this wasn't free when I tried it, so it's hard for me to recommend your answer. I would have far preferred to use your solution than to have to waste time coming up with an alternative; I'm sorry it didn't work for me.
  • Martin Thøgersen
    Martin Thøgersen about 4 years
    Pandas_access + mdbtools worked out of the box! I hope this will be maintained in the future. I struggled with pyodbc+unixodbc and had to give up due to missing driver.
  • PythonDeveloper
    PythonDeveloper almost 4 years
    pip install JPype1==0.6.3 JayDeBeApi==1.1.1 this is not working on my mac. I get below error: #include_next <limits.h> /* recurse down to the real one */ ^ compilation terminated. error: command 'gcc' failed with exit status 1 I even tried below steps to fix this error but it is not working stackoverflow.com/questions/54016317/…
  • zelusp
    zelusp almost 4 years
    How dare you suggest a paid solution to this! I'd rather spend 6 hours debugging mdb installations. LOL - paid solutions are underrated on SO. I wasted so much time trying to get this to work and rebasedata just did the trick. Protip - access the site from a Windows machine if you can, otherwise visiting from a Mac costs more (they don't let you buy the 7 day access)
  • Maxime Challon
    Maxime Challon over 2 years
    Ubuntu 20.04 and Python 3.8: works perfectly! Thanks