Skip site navigation (1)Skip section navigation (2)

FreeBSD Manual Pages

  
 
  

home | help
SLAPD-SQL(5)		       File Formats Manual		    SLAPD-SQL(5)

NAME
     slapd-sql - SQL backend to slapd

SYNOPSIS
     /usr/local/etc/openldap/slapd.conf

DESCRIPTION
     The  primary  purpose  of	this  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 ;).

     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...

     It  is NOT designed as a general-purpose backend that uses RDBMS instead of
     LMDB (as the standard MDB backend does), though it can be used as such with
     several  limitations.   You  can	take   a   look   at   http://www.openl-
     dap.org/faq/index.cgi?file=378  (OpenLDAP	FAQ-O-Matic/General LDAP FAQ/Di-
     rectories vs. conventional databases) to find out more on this point.

     The idea (detailed below) is to use some meta-information 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  ex-
     change data as needed.

     The  SQL  backend	is  designed  to  be tunable to virtually any relational
     schema without having to change source (through that meta-information  men-
     tioned).	Also,  it uses ODBC to connect to RDBMSes, and is highly config-
     urable 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.

     This backend is experimental.

CONFIGURATION
     These 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 slapd.conf(5) manual page.

DATA SOURCE CONFIGURATION
     dbname <datasource name>
	    The name of the ODBC datasource to use.

     dbhost <hostname>
     dbpasswd <password>
     dbuser <username>
	    The three above options are generally unneeded, because this  infor-
	    mation  is	taken from the datasource specified by the dbname direc-
	    tive.  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: dbhost is currently ig-
	    nored).

SCOPING CONFIGURATION
     These options specify SQL query templates for scoping searches.

     subtree_cond <SQL expression>
	    Specifies a where-clause template used to form a subtree search con-
	    dition (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.    "<up-
	    per_func>(ldap_entries.dn) LIKE CONCAT('%',?)"); see upper_func, up-
	    per_needs_cast,  concat_pattern and strcast_func in "HELPER CONFIGU-
	    RATION" for details.

     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.   "<up-
	    per_func>(ldap_entries.dn) LIKE  CONCAT('%,',?)");	see  upper_func,
	    upper_needs_cast, concat_pattern and strcast_func in "HELPER CONFIG-
	    URATION" for details.

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

STATEMENT CONFIGURATION
     These  options specify SQL query templates for loading schema mapping meta-
     information, 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.

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

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

     id_query <SQL expression>
	    The query that is used to map a DN to an  entry  in  table	ldap_en-
	    tries;  see "METAINFORMATION USED" for details.  The default is "SE-
	    LECT  id,keyval,oc_map_id,dn  FROM	ldap_entries  WHERE  <DN   match
	    expr>",  where <DN match expr> is constructed based on the knowledge
	    about how to normalize DN values (e.g. "dn=?" if no means to  upper-
	    case  strings  are	available;  typically,	"<upper_func>(dn)=?"  is
	    used); see upper_func,  upper_needs_cast,  concat_pattern  and  str-
	    cast_func in "HELPER CONFIGURATION" for details.

     insentry_stmt <SQL expression>
	    The  statement  that is used to insert a new entry in table ldap_en-
	    tries; see "METAINFORMATION USED" for details.  The default is  "IN-
	    SERT INTO ldap_entries (dn, oc_map_id, parent, keyval) VALUES (?, ?,
	    ?, ?)".

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

     delobjclasses_stmt <SQL expression>
	    The statement that is used to delete an existing entry's ID from ta-
	    ble  ldap_objclasses;  see	"METAINFORMATION USED" for details.  The
	    default is "DELETE FROM ldap_entry_objclasses WHERE entry_id=?".

HELPER CONFIGURATION
     These statements are used to modify the default behavior of the backend ac-
     cording to issues of the dialect of the RDBMS.  The  first  options  essen-
     tially  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  in-
     structed  to  uppercase  strings and DNs by providing the upper_func direc-
     tive.  Some RDBMSes, to use functions on arbitrary data types, e.g.  string
     constants,  requires a cast, which is triggered by the upper_needs_cast di-
     rective.  If required, a string cast function can be provided as  well,  by
     using  the  strcast_func directive.  Finally, a custom string concatenation
     pattern may be required; it is provided by the concat_pattern directive.

     upper_func <SQL function name>
	    Specifies the name of a function that converts a given value to  up-
	    percase.   This is used for case insensitive matching when the RDBMS
	    is case sensitive.	It may differ from one SQL  dialect  to  another
	    (e.g.  UCASE,  UPPER or whatever; see samples).  By default, none is
	    used, i.e. strings are not uppercased, so matches may be case sensi-
	    tive.

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

     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 ex-
	    perimental and may change in future releases.

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

     aliasing_keyword <string>
	    Define the aliasing keyword.  Some RDBMSes use the	word  "AS"  (the
	    default), others don't use any.

     aliasing_quote <string>
	    Define the quoting char of the aliasing keyword.  Some RDBMSes don't
	    require  any  (the	default),  others  may	require single or double
	    quotes.

     has_ldapinfo_dn_ru { NO | yes }
	    Explicitly inform the backend whether the dn_ru column  (DN  in  re-
	    verse  uppercased form) is present in table ldap_entries.  Overrides
	    automatic  check  (this  is  required,  for   instance,   by   Post-
	    greSQL/unixODBC).  This is experimental and may change in future re-
	    leases.

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

     allow_orphans { NO | yes }
	    When set to 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.

     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)
	    <filename>	argument  is  given, the entry is read from that file in
	    LDIF(5) format; otherwise, an entry with  objectClass  extensibleOb-
	    ject  is created based on the contents of the RDN of the baseObject.
	    This is particularly useful when ldap_entries information is  stored
	    in	a  view  rather  than in a table, and union is not supported for
	    views, so that the view can only specify one rule to compute the en-
	    try structure for one objectClass.	This topic is discussed  further
	    in	section  "METAINFORMATION  USED".   This is experimental and may
	    change in future releases.

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

     fetch_attrs <attrlist>
     fetch_all_attrs { NO | yes }
	    The first statement allows one to provide a list of attributes  that
	    must  always  be  fetched in addition to those requested by any spe-
	    cific 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  at-
	    tributes  to  be always loaded.  Note that the dynamically generated
	    attributes, e.g. hasSubordinates, entryDN and  other  implementation
	    dependent  attributes  are	NOT generated at this point, for consis-
	    tency with the rest of slapd.  This may change in the future.

     check_schema { YES | no }
	    Instructs the database to check schema adherence  of  entries  after
	    modifications,  and  structural  objectClass  chain when entries are
	    built.  By default it is set to yes.

     sqllayer <name> [...]
	    Loads the layer <name> 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 highly ex-
	    perimental and should be used with extreme care.   The  API  of  the
	    layers is not frozen yet, so it is unpublished.

     autocommit { NO | yes }
	    Activates autocommit; by default, it is off.

METAINFORMATION USED
     Almost everything mentioned later is illustrated in examples located in the
     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).

     The first thing that one must arrange is what set of  LDAP  object  classes
     can present your RDBMS information.

     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 applica-
     tion'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.

     Also you might want your object classes to conform to some of the	standard
     schemas like inetOrgPerson etc.

     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.

     Example: Let's suppose that we store information about persons  working  in
     our organization in two tables:

       PERSONS		    PHONES
       ----------	    -------------
       id integer	    id integer
       first_name varchar   pers_id integer references persons(id)
       last_name varchar    phone
       middle_name varchar
       ...

     (PHONES  contains telephone numbers associated with persons).  A person can
     have several numbers, then PHONES contains several records with correspond-
     ing 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:

       person
       -------
       MUST cn
       MAY telephoneNumber $ firstName $ lastName
       ...

     To  fetch	all  values  for  cn attribute given person ID, we construct the
     query:

       SELECT CONCAT(persons.first_name,' ',persons.last_name)
	   AS cn FROM persons WHERE persons.id=?

     for telephoneNumber we can use:

       SELECT phones.phone AS telephoneNumber FROM persons,phones
	   WHERE persons.id=phones.pers_id AND persons.id=?

     If we wanted to service LDAP  requests  with  filters  like  (telephoneNum-
     ber=123*), we would construct something like:

       SELECT ... FROM persons,phones
	   WHERE persons.id=phones.pers_id
	       AND persons.id=?
	       AND phones.phone like '%1%2%3%'

     (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 val-
     ues, we could try to automatically generate such statements, and  translate
     search filters to SQL WHERE clauses.

     To  store such information, we add three more tables to our schema and fill
     it with data (see samples):

       ldap_oc_mappings (some columns are not listed for clarity)
       ---------------
       id=1
       name="person"
       keytbl="persons"
       keycol="id"

     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).

       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"

     This  table  defines  mappings between LDAP attributes and SQL queries that
     load their values.  Note that, unlike LDAP schema, these are not  attribute
     types  - the attribute "cn" for "person" objectclass can have its values in
     different tables than "cn" for some other objectclass,  so  attribute  map-
     pings  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.

     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 be-
     tween 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 con-
     taining 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).

     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.

       ldap_entries
       ------------
       id=1
       dn=<dn you choose>
       oc_map_id=...
       parent=<parent record id>
       keyval=<value of primary key>

     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 al-
     lows 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 corre-
     sponding to the LDAP entry with this DN.

     Note that such design (see exact SQL table creation query) implies one  im-
     portant 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.

     Also, several users 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 El-
     frink):

       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=',groupname),',o=MyCompany,c=NL')),
		   2, 0, groupnummer FROM groups;

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

TYPICAL SQL BACKEND OPERATION
     Having meta-information loaded, the SQL backend uses these tables to deter-
     mine  a  set  of  primary keys of candidates (depending on search scope and
     filter).  It tries to do it for each objectclass  registered  in  ldap_obj-
     classes.

     Example:  for our query with filter (telephoneNumber=123*) we would get the
     following query generated (which loads candidate IDs)

       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%')

     (for ONELEVEL search) or "... AND dn=?" (for BASE search) or  "...  AND  dn
     LIKE '%?'" (for SUBTREE)

     Then,  for  each  candidate, we load the requested attributes using per-at-
     tribute queries like

       SELECT phones.phone AS telephoneNumber
	 FROM persons,phones
	WHERE persons.id=? AND phones.pers_id=persons.id

     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.

     ADD,  DELETE,  MODIFY  and  MODRDN operations are also performed on per-at-
     tribute meta-information (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).

     We  just add more columns to ldap_oc_mappings and ldap_attr_mappings, hold-
     ing 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 informa-
     tion on this matter - they are self-explanatory for those familiar with the
     concepts expressed above.

COMMON TECHNIQUES
     First of all, let's recall that among other major differences to  the  com-
     plete LDAP data model, the above illustrated concept does not directly sup-
     port  such  features  as  multiple  objectclasses per entry, and referrals.
     Fortunately, they are easy to adopt in this scheme.  The  SQL  backend  re-
     quires  that  one	more  table  is  added to the schema: ldap_entry_object-
     classes(entry_id,oc_name).

     That table contains any number of objectclass names that corresponding  en-
     tries  will  possess,  in	addition  to that mentioned in mapping.  The SQL
     backend automatically adds attribute  mapping  for  the  "objectclass"  at-
     tribute 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...

     Referrals used to be implemented in a loose manner by adding an extra table
     that allowed any entry to host a "ref" attribute, along with  a  "referral"
     extra objectClass in table ldap_entry_objclasses.	In the current implemen-
     tation,  referrals  are  treated  like any other user-defined schema, since
     "referral" is a structural objectclass.  The suggested practice is  to  de-
     fine  a  "referral"  entry in ldap_oc_mappings, holding a naming attribute,
     e.g. "ou" or "cn", a "ref" attribute, containing the url; in case	multiple
     referrals	per  entry are needed, a separate table for urls can be created,
     where urls are mapped to the respective entries.  The use of the naming at-
     tribute usually requires to add an  "extensibleObject"  value  to	ldap_en-
     try_objclasses.

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.

     The  hasSubordinates operational attribute is honored by back-sql in search
     results and in compare operations; it is partially honored also in  filter-
     ing.   Owing  to  design  limitations,  a	(brain-dead?) filter of the form
     (!(hasSubordinates=TRUE)) will give no results instead of returning all the
     leaf entries, because it actually expands into ... AND NOT (1=1).	 If  you
     need  to  find all the leaf entries, please use (hasSubordinates=FALSE) in-
     stead.

     A directoryString value of the form  "__First___Last_"  (where  underscores
     mean  spaces,  ASCII  0x20  char) 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 through
     back-sql, the prettified values are actually used instead.

BUGS
     When the ldap_entry_objclasses table is empty, filters on	the  objectClass
     attribute	erroneously  result  in no candidates.	A workaround consists in
     adding at least one row to that table, no matter if valid or not.

PROXY CACHE OVERLAY
     The proxy cache overlay allows caching of LDAP search requests (queries) in
     a local database.	See slapo-pcache(5) for details.

EXAMPLES
     There are example SQL modules in the slapd/back-sql/rdbms_depend/ directory
     in the OpenLDAP source tree.

ACCESS CONTROL
     The sql backend honors access control semantics as indicated  in  slapd.ac-
     cess(5)  (including  the  disclose access privilege when enabled at compile
     time).

FILES
     /usr/local/etc/openldap/slapd.conf
	    default slapd configuration file

SEE ALSO
     slapd.conf(5), slapd(8).

OpenLDAP 2.6.13 		   2026/03/09			    SLAPD-SQL(5)

Want to link to this manual page? Use this URL:
<https://man.freebsd.org/cgi/man.cgi?query=slapd-sql&sektion=5&manpath=FreeBSD+Ports+15.1.quarterly>

home | help