openldap/doc/man/man5/slapd-sql.5

.TH SLAPD-SQL 5 "RELEASEDATE" "OpenLDAP LDVERSION"
.\" $OpenLDAP$
.SH NAME
slapd-sql \- SQL backend to slapd
.SH SYNOPSIS
ETCDIR/slapd.conf
.SH DESCRIPTION
The primary purpose of this
.BR slapd (8)
backend is to PRESENT information stored in some RDBMS as an LDAP subtree
without any programming (some SQL and maybe stored procedures can't be
considered programming, anyway ;).
.LP
That is, for example, when you (some ISP) have account information you
use in an RDBMS, and want to use modern solutions that expect such
information in LDAP (to authenticate users, make email lookups etc.).
Or you want to synchronize or distribute information between different
sites/applications that use RDBMSes and/or LDAP.
Or whatever else...
.LP
It is NOT designed as a general-purpose backend that uses RDBMS instead
of BerkeleyDB (as the standard BDB backend does), though it can be
used as such with several limitations.
You can take a look at
.B http://www.openldap.org/faq/index.cgi?file=378 
(OpenLDAP FAQ-O-Matic/General LDAP FAQ/Directories vs. conventional
databases) to find out more on this point.
.LP
The idea (detailed below) is to use some metainformation to translate
LDAP queries to SQL queries, leaving relational schema untouched, so
that old applications can continue using it without any
modifications.
This allows SQL and LDAP applications to inter-operate without
replication, and exchange data as needed.
.LP
The SQL backend is designed to be tunable to virtually any relational
schema without having to change source (through that metainformation
mentioned).
Also, it uses ODBC to connect to RDBMSes, and is highly configurable
for SQL dialects RDBMSes may use, so it may be used for integration
and distribution of data on different RDBMSes, OSes, hosts etc., in
other words, in highly heterogeneous environment.
.LP
This backend is \fIexperimental\fP.
.SH CONFIGURATION
These
.B slapd.conf
options apply to the SQL backend database, which means that 
they must follow a "database sql" line and come before any
subsequent "backend" or "database" lines.
Other database options not specific to this backend are described 
in the
.BR slapd.conf (5)
manual page.
.SH DATA SOURCE CONFIGURATION

.TP
.B dbname <datasource name>
The name of the ODBC datasource to use.
.LP
.B dbhost <hostname>
.br
.B dbpasswd <password>
.br
.B dbuser <username>
.RS
The three above options are generally unneeded, because this information
is taken from the datasource specified by the
.B dbname
directive.
They allow to override datasource settings.
Also, several RDBMS' drivers tend to require explicit passing of user/password,
even if those are given in datasource (Note:
.B dbhost
is currently ignored).
.RE
.SH SCOPING CONFIGURATION
These options specify SQL query templates for scoping searches.

.TP
.B subtree_cond <SQL expression>
Specifies a where-clause template used to form a subtree search condition
(dn="(.+,)?<dn>$").
It may differ from one SQL dialect to another (see samples).
By default, it is constructed based on the knowledge about
how to normalize DN values (e.g.
\fB"<upper_func>(ldap_entries.dn) LIKE CONCAT('%',?)"\fP);
see \fBupper_func\fP, \fBupper_needs_cast\fP, \fBconcat_pattern\fP
and \fBstrcast_func\fP in "HELPER CONFIGURATION" for details.

.TP
.B children_cond <SQL expression>
Specifies a where-clause template used to form a children search condition
(dn=".+,<dn>$").
It may differ from one SQL dialect to another (see samples).
By default, it is constructed based on the knowledge about
how to normalize DN values (e.g.
\fB"<upper_func>(ldap_entries.dn) LIKE CONCAT('%,',?)"\fP);
see \fBupper_func\fP, \fBupper_needs_cast\fP, \fBconcat_pattern\fP
and \fBstrcast_func\fP in "HELPER CONFIGURATION" for details.

.TP
.B use_subtree_shortcut { NO | yes }
Do not use the subtree condition when the searchBase is the database
suffix, and the scope is subtree; rather collect all entries.

.RE
.SH STAMEMENT CONFIGURATION
These options specify SQL query templates for loading schema mapping
metainformation, adding and deleting entries to ldap_entries, etc.
All these and subtree_cond should have the given default values.
For the current value it is recommended to look at the sources,
or in the log output when slapd starts with "-d 5" or greater.
Note that the parameter number and order must not be changed.

.TP
.B oc_query <SQL expression>
The query that is used to collect the objectClass mapping data
from table \fIldap_oc_mappings\fP; see "METAINFORMATION USED" for details.
The default is
\fB"SELECT id, name, keytbl, keycol, create_proc, delete_proc, expect_return
FROM ldap_oc_mappings"\fP.

.TP
.B at_query <SQL expression>
The query that is used to collect the attributeType mapping data
from table \fIldap_attr_mappings\fP; see "METAINFORMATION USED" for details.
The default is
\fB"SELECT name, sel_expr, from_tbls, join_where, add_proc, delete_proc,
param_order, expect_return FROM ldap_attr_mappings WHERE oc_map_id=?"\fP.

.TP
.B id_query <SQL expression>
The query that is used to map a DN to an entry
in table \fIldap_entries\fP; see "METAINFORMATION USED" for details.
The default is
\fB"SELECT id,keyval,oc_map_id,dn FROM ldap_entries WHERE <DN match expr>"\fP,
where \fB<DN match expr>\fP is constructed based on the knowledge about
how to normalize DN values (e.g. \fB"dn=?"\fP if no means to uppercase
strings are available; typically, \fB"<upper_func>(dn)=?"\fP is used);
see \fBupper_func\fP, \fBupper_needs_cast\fP, \fBconcat_pattern\fP
and \fBstrcast_func\fP in "HELPER CONFIGURATION" for details.

.TP
.B insentry_stmt <SQL expression>
The statement that is used to insert a new entry
in table \fIldap_entries\fP; see "METAINFORMATION USED" for details.
The default is
\fB"INSERT INTO ldap_entries (dn, oc_map_id, parent, keyval) VALUES
(?, ?, ?, ?)"\fP.

.TP
.B delentry_stmt <SQL expression>
The statement that is used to delete an existing entry
from table \fIldap_entries\fP; see "METAINFORMATION USED" for details.
The default is
\fB"DELETE FROM ldap_entries WHERE id=?"\fP.

.TP
.B delobjclasses_stmt <SQL expression>
The statement that is used to delete an existing entry's ID
from table \fIldap_objclasses\fP; see "METAINFORMATION USED" for details.
The default is
\fB""DELETE FROM ldap_entry_objclasses WHERE entry_id=?"\fP.

.TP
.B delreferrals_stmt <SQL expression>
The statement that is used to delete an existing entry's ID
from table \fIldap_referrals\fP; see "METAINFORMATION USED" for details.
The default is
\fB""DELETE FROM ldap_referrals WHERE entry_id=?"\fP.

.RE
.SH HELPER CONFIGURATION
These statements are used to modify the default behavior of the backend
according to issues of the dialect of the RDBMS.
The first options essentially refer to string and DN normalization
when building filters.
LDAP normalization is more than upper- (or lower-)casing everything;
however, as a reasonable trade-off, for case-sensitive RDBMSes the backend
can be instructed to uppercase strings and DNs by providing
the \fBupper_func\fP directive.
Some RDBMSes, to use functions on arbitrary data types, e.g. string
constants, requires a cast, which is triggered
by the \fBupper_needs_cast\fP directive.
If required, a string cast function can be provided as well,
by using the \fBstrcast_func\fP directive.
Finally, a custom string concatenation pattern may be required;
it is provided by the \fBconcat_pattern\fP directive.

.TP
.B upper_func <SQL function name>
Specifies the name of a function that converts a given value to uppercase.
This is used for case insensitive matching when the RDBMS is case sensitive.
It may differ from one SQL dialect to another (e.g. \fBUCASE\fP, \fBUPPER\fP
or whatever; see samples).  By default, none is used, i.e. strings are not
uppercased, so matches may be case sensitive.

.TP
.B upper_needs_cast { NO | yes }
Set this directive to 
.B yes
if 
.B upper_func
needs an explicit cast when applied to literal strings.
A cast in the form
.B CAST (<arg> AS VARCHAR(<max DN length>))
is used, where
.B <max DN length>
is builtin in back-sql; see macro
.B BACKSQL_MAX_DN_LEN
(currently 255; note that slapd's builtin limit, in macro
.BR SLAP_LDAPDN_MAXLEN ,
is set to 8192).
This is \fIexperimental\fP and may change in future releases.

.TP
.TP
.B strcast_func <SQL function name>
Specifies the name of a function that converts a given value to a string
for appropriate ordering.  This is used in "SELECT DISTINCT" statements
for strongly typed RDBMSes with little implicit casting (like PostgreSQL),
when a literal string is specified.
This is \fIexperimental\fP and may change in future releases.

.B concat_pattern <pattern>
This statement defines the
.B pattern 
that is used to concatenate strings.  The
.B pattern
MUST contain two question marks, '?', that will be replaced 
by the two strings that must be concatenated.  The default value is
.BR "CONCAT(?,?)";
a form that is known to be highly portable (IBM db2, PostgreSQL) is 
.BR "?||?",
but an explicit cast may be required when operating on literal strings:
.BR "CAST(?||? AS VARCHAR(<length>))".
On some RDBMSes (IBM db2, MSSQL) the form
.B "?+?"
is known to work as well.
Carefully check the documentation of your RDBMS or stay with the examples
for supported ones.
This is \fIexperimental\fP and may change in future releases.

.TP
.B has_ldapinfo_dn_ru { NO | yes }
Explicitly inform the backend whether the dn_ru column
(DN in reverse uppercased form) is present in table \fIldap_entries\fP.
Overrides automatic check (this is required, ofr instance,
by PostgreSQL/unixODBC).
This is \fIexperimental\fP and may change in future releases.

.TP
.B fail_if_no_mapping { NO | yes }
When set to
.B yes
it forces \fIattribute\fP write operations to fail if no appropriate
mapping between LDAP attributes and SQL data is available.
The default behavior is to ignore those changes that cannot be mapped.
It has no impact on objectClass mapping, i.e. if the
.I structuralObjectClass
of an entry cannot be mapped to SQL by looking up its name 
in ldap_oc_mappings, an 
.I add
operation will fail regardless of the
.B fail_if_no_mapping
switch; see section "METAINFORMATION USED" for details.
This is \fIexperimental\fP and may change in future releases.

.TP
.B allow_orphans { NO | yes }
When set to 
.B yes
orphaned entries (i.e. without the parent entry in the database)
can be added.  This option should be used with care, possibly 
in conjunction with some special rule on the RDBMS side that
dynamically creates the missing parent.

.TP
.B baseObject [ <filename> ]
Instructs the database to create and manage an in-memory baseObject
entry instead of looking for one in the RDBMS.
If the (optional) 
.B <filename>
argument is given, the entry is read from that file in
.BR LDIF (5)
format; otherwise, an entry with objectClass \fBextensibleObject\fP
is created based on the contents of the RDN of the \fIbaseObject\fP.
This is particularly useful when \fIldap_entries\fP
information is stored in a view rather than in a table, and 
.B union
is not supported for views, so that the view can only specify
one rule to compute the entry structure for one objectClass.
This topic is discussed further in section "METAINFORMATION USED".
This is \fIexperimental\fP and may change in future releases.

.TP
.B create_needs_select { NO | yes }
Instructs the database whether or not entry creation
in table \fIldap_entries\fP needs a subsequent select to collect 
the automatically assigned ID, instead of being returned 
by a stored procedure.

.LP
.B fetch_attrs <attrlist>
.br
.B fetch_all_attrs { NO | yes }
.RS
The first statement allows to provide a list of attributes that
must always be fetched in addition to those requested by any specific
operation, because they are required for the proper usage of the
backend.  For instance, all attributes used in ACLs should be listed
here.  The second statement is a shortcut to require all attributes 
to be always loaded.  Note that the dynamically generated attributes,
e.g. \fIhasSubordinates\fP, \fIentryDN\fP and other implementation
dependent attributes are \fBNOT\fP generated at this point, for
consistency with the rest of slapd.  This may change in the future.
.RE

.TP
.B sqllayer <name> [...]
Loads the layer \fB<name>\fP onto a stack of helpers that are used 
to map DNs from LDAP to SQL representation and vice-versa.
Subsequent args are passed to the layer configuration routine.
This is \fIhighly experimental\fP and should be used with extreme care.
The API of the layers is not frozen yet, so it is unpublished.

.SH METAINFORMATION USED
.LP
Almost everything mentioned later is illustrated in examples located
in the
.B servers/slapd/back-sql/rdbms_depend/
directory in the OpenLDAP source tree, and contains scripts for
generating sample database for Oracle, MS SQL Server, mySQL and more
(including PostgreSQL and IBM db2).
.LP
The first thing that one must arrange is what set of LDAP
object classes can present your RDBMS information.
.LP
The easiest way is to create an objectClass for each entity you had in
ER-diagram when designing your relational schema.
Any relational schema, no matter how normalized it is, was designed
after some model of your application's domain (for instance, accounts,
services etc. in ISP), and is used in terms of its entities, not just
tables of normalized schema.
It means that for every attribute of every such instance there is an
effective SQL query that loads its values.
.LP
Also you might want your object classes to conform to some of the standard
schemas like inetOrgPerson etc.
.LP
Nevertheless, when you think it out, we must define a way to translate
LDAP operation requests to (a series of) SQL queries.
Let us deal with the SEARCH operation.
.LP
Example:
Let's suppose that we store information about persons working in our 
organization in two tables:
.LP
.nf
  PERSONS              PHONES
  ----------           -------------
  id integer           id integer
  first_name varchar   pers_id integer references persons(id)
  last_name varchar    phone
  middle_name varchar
  ...
.fi
.LP
(PHONES contains telephone numbers associated with persons).
A person can have several numbers, then PHONES contains several
records with corresponding pers_id, or no numbers (and no records in
PHONES with such pers_id).
An LDAP objectclass to present such information could look like this:
.LP
.nf
  person
  -------
  MUST cn
  MAY telephoneNumber $ firstName $ lastName
  ...
.fi
.LP
To fetch all values for cn attribute given person ID, we construct the
query:
.LP
.nf
  SELECT CONCAT(persons.first_name,' ',persons.last_name)
      AS cn FROM persons WHERE persons.id=?
.fi
.LP
for telephoneNumber we can use:
.LP
.nf
  SELECT phones.phone AS telephoneNumber FROM persons,phones
      WHERE persons.id=phones.pers_id AND persons.id=?
.fi
.LP
If we wanted to service LDAP requests with filters like
(telephoneNumber=123*), we would construct something like:
.LP
.nf
  SELECT ... FROM persons,phones
      WHERE persons.id=phones.pers_id
          AND persons.id=?
          AND phones.phone like '%1%2%3%'
.fi
.LP
(note how the telephoneNumber match is expanded in multiple wildcards
to account for interspersed ininfluential chars like spaces, dashes
and so; this occurs by design because telephoneNumber is defined after 
a specially recognized syntax).
So, if we had information about what tables contain values for each
attribute, how to join these tables and arrange these values, we could
try to automatically generate such statements, and translate search
filters to SQL WHERE clauses.
.LP
To store such information, we add three more tables to our schema
and fill it with data (see samples):
.LP
.nf
  ldap_oc_mappings (some columns are not listed for clarity)
  ---------------
  id=1
  name="person"
  keytbl="persons"
  keycol="id"
.fi
.LP
This table defines a mapping between objectclass (its name held in the
"name" column), and a table that holds the primary key for corresponding
entities.
For instance, in our example, the person entity, which we are trying
to present as "person" objectclass, resides in two tables (persons and
phones), and is identified by the persons.id column (that we will call
the primary key for this entity).
Keytbl and keycol thus contain "persons" (name of the table), and "id"
(name of the column).
.LP
.nf
  ldap_attr_mappings (some columns are not listed for clarity)
  -----------
  id=1
  oc_map_id=1
  name="cn"
  sel_expr="CONCAT(persons.first_name,' ',persons.last_name)"
  from_tbls="persons"
  join_where=NULL
  ************
  id=<n>
  oc_map_id=1
  name="telephoneNumber"
  sel_expr="phones.phone"
  from_tbls="persons,phones"
  join_where="phones.pers_id=persons.id"
.fi
.LP
This table defines mappings between LDAP attributes and SQL queries
that load their values.
Note that, unlike LDAP schema, these are not
.B attribute types
- the attribute "cn" for "person" objectclass can
have its values in different tables than "cn" for some other objectclass,
so attribute mappings depend on objectclass mappings (unlike attribute
types in LDAP schema, which are indifferent to objectclasses).
Thus, we have oc_map_id column with link to oc_mappings table.
.LP
Now we cut the SQL query that loads values for a given attribute into 3 parts.
First goes into sel_expr column - this is the expression we had
between SELECT and FROM keywords, which defines WHAT to load.
Next is table list - text between FROM and WHERE keywords.
It may contain aliases for convenience (see examples).
The last is part of the where clause, which (if it exists at all) expresses the
condition for joining the table containing values with the table
containing the primary key (foreign key equality and such).
If values are in the same table as the primary key, then this column is
left NULL (as for cn attribute above).
.LP
Having this information in parts, we are able to not only construct
queries that load attribute values by id of entry (for this we could
store SQL query as a whole), but to construct queries that load id's
of objects that correspond to a given search filter (or at least part of
it).
See below for examples.
.LP
.nf
  ldap_entries
  ------------
  id=1
  dn=<dn you choose>
  oc_map_id=...
  parent=<parent record id>
  keyval=<value of primary key>
.fi
.LP
This table defines mappings between DNs of entries in your LDAP tree,
and values of primary keys for corresponding relational data.
It has recursive structure (parent column references id column of the
same table), which allows you to add any tree structure(s) to your
flat relational data.
Having id of objectclass mapping, we can determine table and column
for primary key, and keyval stores value of it, thus defining the exact
tuple corresponding to the LDAP entry with this DN.
.LP
Note that such design (see exact SQL table creation query) implies one
important constraint - the key must be an integer.
But all that I know about well-designed schemas makes me think that it's
not very narrow ;) If anyone needs support for different types for
keys - he may want to write a patch, and submit it to OpenLDAP ITS,
then I'll include it.
.LP
Also, several people complained that they don't really need very
structured trees, and they don't want to update one more table every
time they add or delete an instance in the relational schema.
Those people can use a view instead of a real table for ldap_entries, something
like this (by Robin Elfrink):
.LP
.nf
  CREATE VIEW ldap_entries (id, dn, oc_map_id, parent, keyval)
      AS
          SELECT 0, UPPER('o=MyCompany,c=NL'),
              3, 0, 'baseObject' FROM unixusers WHERE userid='root'
      UNION
          SELECT (1000000000+userid),
              UPPER(CONCAT(CONCAT('cn=',gecos),',o=MyCompany,c=NL')),
              1, 0, userid FROM unixusers
      UNION
          SELECT (2000000000+groupnummer),
              UPPER(CONCAT(CONCAT('cn=',groupnaam),',o=MyCompany,c=NL')),
              2, 0, groupnummer FROM groups;
.fi

.LP
If your RDBMS does not support
.B unions
in views, only one objectClass can be mapped in
.BR ldap_entries ,
and the baseObject cannot be created; in this case, see the 
.B baseObject
directive for a possible workaround.

.LP
.SH Typical SQL backend operation
Having metainformation loaded, the SQL backend uses these tables to
determine a set of primary keys of candidates (depending on search
scope and filter).
It tries to do it for each objectclass registered in ldap_objclasses.
.LP
Example:
for our query with filter (telephoneNumber=123*) we would get the following 
query generated (which loads candidate IDs)
.LP
.nf
  SELECT ldap_entries.id,persons.id, 'person' AS objectClass,
         ldap_entries.dn AS dn
    FROM ldap_entries,persons,phones
   WHERE persons.id=ldap_entries.keyval
     AND ldap_entries.objclass=?
     AND ldap_entries.parent=?
     AND phones.pers_id=persons.id
     AND (phones.phone LIKE '%1%2%3%')
.fi
.LP
(for ONELEVEL search)
or "... AND dn=?" (for BASE search)
or "... AND dn LIKE '%?'" (for SUBTREE)
.LP
Then, for each candidate, we load the requested attributes using
per-attribute queries like
.LP
.nf
  SELECT phones.phone AS telephoneNumber
    FROM persons,phones
   WHERE persons.id=? AND phones.pers_id=persons.id
.fi
.LP
Then, we use test_filter() from the frontend API to test the entry for a full
LDAP search filter match (since we cannot effectively make sense of
SYNTAX of corresponding LDAP schema attribute, we translate the filter
into the most relaxed SQL condition to filter candidates), and send it to
the user.
.LP
ADD, DELETE, MODIFY and MODRDN operations are also performed on per-attribute
metainformation (add_proc etc.).
In those fields one can specify an SQL statement or stored procedure
call which can add, or delete given values of a given attribute, using
the given entry keyval (see examples -- mostly PostgreSQL, ORACLE and MSSQL 
- since as of this writing there are no stored procs in MySQL).
.LP
We just add more columns to ldap_oc_mappings and ldap_attr_mappings, holding
statements to execute (like create_proc, add_proc, del_proc etc.), and
flags governing the order of parameters passed to those statements.
Please see samples to find out what are the parameters passed, and other
information on this matter - they are self-explanatory for those familiar
with the concepts expressed above.
.LP
.SH Common techniques (referrals, multiclassing etc.)
First of all, let's remember that among other major differences to the
complete LDAP data model, the concept above does not directly support
such things as multiple objectclasses per entry, and referrals.
Fortunately, they are easy to adopt in this scheme.
The SQL backend suggests two more tables being added to the schema -
ldap_entry_objectclasses(entry_id,oc_name), and
ldap_referrals(entry_id,url).
.LP
The first contains any number of objectclass names that corresponding
entries will be found by, in addition to that mentioned in
mapping.
The SQL backend automatically adds attribute mapping for the "objectclass"
attribute to each objectclass mapping that loads values from this table.
So, you may, for instance, have a mapping for inetOrgPerson, and use it
for queries for "person" objectclass...
.LP
The second table contains any number of referrals associated with a given entry.
The SQL backend automatically adds attribute mapping for "ref" attribute
to each objectclass mapping that loads values from this table.
So, if you add objectclass "referral" to this entry, and make one or
more tuples in ldap_referrals for this entry (they will be seen as
values of "ref" attribute), you will have slapd return a referral, as
described in the Administrators Guide.
.LP
.SH Caveats
As previously stated, this backend should not be considered
a replacement of other data storage backends, but rather a gateway
to existing RDBMS storages that need to be published in LDAP form.
.LP
The \fBhasSubordintes\fP operational attribute is honored by back-sql
in search results and in compare operations; it is partially honored
also in filtering.  Owing to design limitations, a (braindead?) filter
of the form
\fB(!(hasSubordinates=TRUE))\fP
will give no results instead of returning all the leaf entries, because
it actually expands into \fB... AND NOT (1=1)\fP.
If you need to find all the leaf entries, please use
\fB(hasSubordinates=FALSE)\fP
instead.
.LP
A directoryString value of the form "__First___Last_"
(where underscores should be replaced by spaces) corresponds
to its prettified counterpart "First_Last"; this is not currently
honored by back-sql if non-prettified data is written via RDBMS;
when non-prettified data is written thru back-sql, the prettified 
values are actually used instead.
.LP
.SH PROXY CACHE OVERLAY
The proxy cache overlay 
allows caching of LDAP search requests (queries) in a local database.
See 
.BR slapo-pcache (5)
for details.
.SH EXAMPLES
There are example SQL modules in the slapd/back-sql/rdbms_depend/
directory in the OpenLDAP source tree.
.SH FILES

.TP
ETCDIR/slapd.conf
default slapd configuration file
.SH SEE ALSO
.BR slapd.conf (5),
.BR slapd (8).