InDepth
After you have done the four preceding steps, your computer is ready to authenticate on the LDAP directory. But is your directory also ready? To prepare your directory for authentication, you need to put all relevant user attributes in it, all the information normally in /etc/passwd and /etc/shadow. Otherwise, how could you use your precious resources without a proper user ID and all the other nice things from these files? To get the information, you can use some Perl scripts specially created to get information out of the files on your computer and into the LDAP database, or you can make your own LDIF file to import the users you want.
If you want to do it all automatically, many Perl scripts are available at http://www.padl.org/. There are scripts to import almost all settings that can also be in an NIS database—your password files, your host file, your network file, etc. Before you can use them, however, you have to edit the general configuration file, migrate_common.ph. In this file you have to change some parameters that specify the location where the data has to be created. Especially important are DEFAULT_MAIL_DOMAIN and DEFAULT_BASE; they specify the DNS domain in which users have their e-mail accounts and the LDAP container in which users must be created, respectively. Once that's done, you can start the import. For each different kind of information, there's a separate script; probably the most interesting of them are migrate_all_online.sh, which imports all network information, and migrate_passwd.pl, which imports the users on your system.
The other way to get things done is by means of an LDIF file, the contents of which must be added to the database using ldapadd. The most important thing for this file is that all the right properties are specified. Listing 4 shows an example of how to ensure this.
Listing 4. Sample Property Specification for an LDIF File
There are only two disadvantages to this method. First, the home directory isn't automatically created when you create the user in the LDIF database, but there's a PAM module named pam_mkhomedir.so that can take care of it for you. The other problem is user passwords; there's no nice method to get them in encrypted form in the database. A less elegant way to accomplish this is to create the user once in /etc/passwd and /etc/shadow, give him or her a password and copy the encrypted string out of /etc/shadow and into your LDIF file.
Once this is done, you can try the whole thing out. Delete the user from your local files, open a login prompt and try to log in; it should work just fine.

- « first
- ‹ previous
- 1
- 2
- 3
- 4
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Evernote is much more...
1 hour 34 min ago - Reply to comment | Linux Journal
10 hours 20 min ago - Dynamic DNS
10 hours 54 min ago - Reply to comment | Linux Journal
11 hours 52 min ago - Reply to comment | Linux Journal
12 hours 42 min ago - Not free anymore
16 hours 44 min ago - Great
20 hours 32 min ago - Reply to comment | Linux Journal
20 hours 40 min ago - Understanding the Linux Kernel
22 hours 54 min ago - General
1 day 1 hour ago
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




Comments
Re: indepth and pam_mkhomedir
There is better alternative to using pam_mkhomedir which suffers following limitations. Check this at http://www.intraperson.com/autodir.html
1) There are some applications which never need to authenticate users
But they need home dirs. -- for example smtp servers which deliver mail to home.
2) Some do use other ways to authenticate, bypassing pam all together.
3) Servers must be root so that pam can creates home dirs. Otherwise
make /home silimiar in permissions to /tmp -- famous sshd problem