The 10-Minute LDAP Tutorial - Automating System Administration with Perlby David N. Blank-Edelman
The Lightweight Directory Access Protocol (LDAP) is the protocol for accessing the preeminent directory services deployed in the world today. Over time, system administrators are likely to find themselves dealing with LDAP servers and clients in a number of contexts. For example, Active Directory and Mac OS X Open Directory are both LDAP-based. This tutorial will give you an introduction to the LDAP nomenclature and concepts you’ll need when using the material in Chapter 9, Directory Services.
This excerpt is from Automating System Administration with Perl, Second Edition . Thoroughly updated and expanded in its second edition to cover the latest operating systems, technologies, and Perl modules, Automating System Administration with Perl will help you perform your job with less effort. The second edition not only offers you the right tools for your job, but also suggests the best way to approach particular problems and securely automate pressing tasks.
The action in LDAP takes place around a data structure known as an entry. Figure C.1, “The LDAP entry data structure” is a picture to keep in mind as we look at an entry’s component parts.
An entry has a set of named component parts called
attributes that hold the data for that entry. To use database terms, they
are like the fields in a database record. In Chapter 9, Directory Services we use Perl to keep a list of machines in an
LDAP directory. Each machine entry will have attributes like
Besides its name, an attribute consists of a type and the value for
the attribute. The value has to be of the type defined for the attribute.
For example, if you are storing employee information, your entry might have
phone attribute that has a type of
value of this attribute might be that employee’s phone number. A type also
has a syntax that dictates what kind of data can be used (strings, numbers,
etc.), how it is sorted, and how it is used in a search (is it
case-sensitive, etc.?). To accommodate multiple values, you can store
multiple attributes of the same name in a single entry. An example of this
would be a group entry where you would have multiple member attributes in
the entry, each holding a group member.
An entry’s contents and structure are defined by its object class. The
object class (along with server and user settings) specifies which
attributes must and may exist in that particular entry. Each entry can be in
multiple object classes, in which case the specifications are essentially
merged. The object class (or classes) of an entry is recorded in that entry
in a special attribute named
Let’s look a little closer at the
because it illustrates some of the important qualities of LDAP and allows us
to pick off the rest of the jargon we haven’t encountered yet. If we
objectClass attribute, we
notice the following:
- LDAP is object-oriented.
Each value in an
objectClassattribute is the name of an object class. As mentioned earlier, these classes either define the set of attributes that can or must be in an entry, or expand on the definitions inherited from another class.
Let’s look at an example. Suppose the
objectClassin an entry contains the string
residentialPerson. RFC 2256, which has the daunting title of “A Summary of the X.500(96) User Schema for Use with LDAPv3,” defines the
residentialPersonobject class like this:
residentialPerson ( 220.127.116.11 NAME 'residentialPerson' SUP person STRUCTURAL MUST l MAY ( businessCategory $ x121Address $ registeredAddress $ destinationIndicator $ preferredDeliveryMethod $ telexNumber $ teletexTerminalIdentifier $ telephoneNumber $ internationaliSDNNumber $ facsimileTelephoneNumber $ preferredDeliveryMethod $ street $ postOfficeBox $ postalCode $ postalAddress $ physicalDeliveryOfficeName $ st $ l ) )
This definition says that an entry of object class
residentialPersonmust have a
lattribute (short for locality) and may have a whole other set of attributes (
postOfficeBox, etc.). The key part of the specification is the
SUP personstring. It says that the superior class (the one from which
residentialPersoninherits its attributes) is the
personobject class. That class’s definition looks like this:
person ( 18.104.22.168 NAME 'person' SUP top STRUCTURAL MUST ( sn $ cn ) MAY ( userPassword $ telephoneNumber $ seeAlso $ description ) )
So, an entry with object class of
cn(common name), and
l(locality) attributes and may have the other attributes listed in the
MAYsections of these two RFC excerpts. We also know that
personis the top of the object hierarchy for
residentialPerson, since its superior class is the special abstract class
In most cases, you can get away with using the predefined standard object classes. If you need to construct entries with attributes not found in an existing object class, it is usually good form to locate the closest existing object class and build upon it, like
- LDAP has its origins in the database world.
A second quality we see in
objectClassis LDAP’s database roots. A collection of object classes that specify attributes for the entries in an LDAP server is called a schema. The RFC I just quoted is one example of an LDAP schema specification. We won’t be addressing the considerable issues surrounding schema in this book. Like database design, schema design can be a book topic in itself, but you should at least be familiar with the term “schema” because it will pop up later.
- LDAP is not limited to storing information in strict tree structures.
There’s one last thing I should mention about
objectClassto help us move from our examination of a single entry to the larger picture. Our previous object class example specified
topat the top of the object hierarchy, but there’s another quasi-superclass worth mentioning:
aliasis specified, this entry is actually an alias for another entry (specified by the
aliasedObjectNameattribute in that entry). LDAP strongly encourages hierarchical tree structures, but it doesn’t demand them. It’s important to keep this flexibility in mind when you code to avoid making incorrect assumptions about the data hierarchy on a server.
So far we’ve been focused on a single entry, but there’s very little call for a directory that contains only one entry. When we expand our focus and consider a directory populated with many entries, we are immediately faced with one important question: how do we find anything?
The stuff we’ve discussed so far all falls under what the LDAP specification calls its “information model.” This is the part that sets the rules for how information is represented. But for the answer to our question, we need to look to LDAP’s “naming model,” which dictates how information is organized.
If you refer back to Figure C.1, “The LDAP entry data structure”, you’ll see that we’ve discussed all of the parts of an entry except for its name. Each entry has a name, known as its distinguished name (DN). The DN consists of a string of relative distinguished names (RDNs). We’ll return to DNs in a moment, but first let’s concentrate on the RDN building blocks.
Neither the LDAP nor the X.500 specification dictates which attributes should be used to form an RDN. They do require RDNs to be unique at each level in a directory hierarchy, however. This restriction exists because LDAP has no inherent notion of “the third entry in the fourth branch of a directory tree,” so it must rely on unique names at each level to distinguish between individual entries at that level. Let’s see how this restriction plays out in practice.
Take, for instance, another example RDN:
cn=Robert Smith. This is probably not a good RDN
choice, since there may be more than one Robert Smith in an organization
of even moderate size. If you have a large number of people in your
organization and your LDAP hierarchy is relatively flat, name collisions
like this are to be expected. A marginally better entry would combine two
cn=Robert Smith +
l=Boston. (Attributes in RDNs are combined with a plus
Our revised RDN, which appends a locality attribute, still has
problems, though. We may have postponed a name clash, but we haven’t
eliminated the possibility. Furthermore, if Smith moves to some other
facility, we’ll have to change both the RDN for the entry and the location
attribute in the entry. Perhaps the best RDN we could use would be one
with a unique and immutable user ID for this person. For example, we could
use the username component of the person’s email address, so the RDN would
uid=rsmith. This example should give
you a taste of the decisions involved in the world of schemas.
Astute readers will notice that we’re not really expanding our focus; we’re still puttering around with a single entry. The RDN discussion was a prelude to this. Here’s the real jump: entries live in a tree-like structure known as a directory information tree (DIT), or just a directory tree. The latter is probably the preferred term to use, because in X.500 nomenclature DIT usually refers to a single universal tree, similar to the global DNS hierarchy or the management information base (MIB) we’ll be seeing in Appendix G, The 20-Minute SNMP Tutorial when we discuss SNMP.
Let’s bring DNs back into the picture. Each entry in a directory tree can be located by its distinguished name. A DN is composed of an entry’s RDN followed by all of the RDNs (separated by commas or semicolons) found as you walk your way back up the tree toward the root entry. If we follow the arrows in Figure C.2, “Walking back up the tree to produce a DN” and accumulate RDNs as we go, we’ll construct DNs for each highlighted entry.
In the first picture, our DN would be:
cn=Robert Smith, l=main campus, ou=CCS, o=Hogwarts School, c=US
In the second, it is:
uid=rsmith, ou=system, ou=people, dc=ccs, dc=hogwarts, dc=edu
ou is short for organizational
o is short for organization,
dc stands for “domain component” à la
c is for country (Sesame
An analogy is often made between DNs and absolute pathnames in a filesystem, but DNs are more like postal addresses because they have a “most specific component first” ordering. In a postal address like this:
|288 St. Bucky Avenue|
|Anywhere, MA 02104|
you start off with the most specific object (the person) and get more vague from there, eventually winding up at the least specific component (the country). So too it goes with DNs.
You can see this ordering in our DN examples. The very top of the directory tree is known as the directory’s suffix, since it is the end portion of every DN in that directory tree. Suffixes are important when constructing a hierarchical infrastructure using multiple delegated LDAP servers. Using an LDAPv3 concept known as a referral, it is possible to place an entry in the directory tree that essentially says, “for all entries with this suffix, go ask that server instead.” Referrals are specified using an LDAP URL, which looks similar to your run-of-the-mill web URL except that it references a particular DN or other LDAP-specific information. Here’s an example from RFC 2255, the RFC that specifies the LDAP URL format:
The other place directory suffixes come into play is in the client/server authentication process, since a client usually is connecting to access a single directory tree on the server: it “binds” to the server using this suffix. We’ll see this process and details on querying an LDAP server in Chapter 9, Directory Services.
By now you have some idea of how data is organized and specified in LDAP terms. With that grounding, the discussion of the manipulation of this data in Chapter 9, Directory Services should be much clearer.
 Just to stress this point: LDAP is a protocol. It is not a relational database; it is the protocol through which you can communicate with a database-like directory service. More on the difference between databases and directory services can be found in Chapter 9, Directory Services.
 I say “tree-like” rather than just “tree” because the
alias object class I mentioned earlier
allows you to create a directory structure that is not strictly a tree
(at least from a computer-science, directed-acyclic-graph
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