Test ldap searchy3/26/2023 ![]() ![]() ![]() ![]() If present, then this text must appear at the beginning of a matching attribute value and must not overlap with any text matching a subAny or subFinal component. A substring assertion is comprised of the following components:Īn optional subInitial component. To understand what a less-or-equal filter is and how it works, re-read the description of greater-or-equal filters above, but substitute the word “less” for every occurrence of the word “greater”, and the “” symbol.Ī substring filter may be used to determine whether an entry contains at least one value for a specified attribute that matches a given substring assertion. Matching rules will be discussed in greater detail in the Understanding Schema section. For example, an attribute type whose value is expected to be numeric may use a numeric comparison, whereas an attribute type whose value is expected to be text may use a lexicographic comparison (and therefore a filter like “ (targetAttribute>=10)” may or may not be satisfied by an entry with a targetAttribute value of “2” because that value is numerically smaller but lexicographically greater than the value “10”).įor some kinds of attributes, it may not even make sense to try to make an ordering comparison (e.g., for an attribute type whose values are intended to be the names of colors, it doesn’t make any sense to ask if the color red is greater than or equal to the color blue), and therefore those attributes may not have an ordering matching rule. The determination of whether one value is greater than or equal to another is the function of the ordering matching rule for the attribute type, and the logic used may vary from one attribute type to another. The string representation of a greater-or-equal filter is constructed as follows: If an entry has one or more values for an attribute that are determined to be greater than or equal to the target value, then the filter will match that entry, even if it has other values that are determined to be less than the target value. Matching rules are discussed in greater detail in the Understanding Schema section.Ī greater-or-equal filter is used to determine whether an entry contains at least one value for a specified attribute that is greater than or equal to a provided value. It is the job of an equality matching rule to determine whether two values are equivalent. However, this is not necessarily as straightforward as it might sound because there can be multiple ways of representing a given value (e.g., John, john, JOHN, JoHn, etc.). The value to compare (aka the assertion value)įor example, the equality filter “ (givenName=John)” will match any entry that contains a givenName attribute with a value of John. The string representation of an equality filter is constructed as follows: If an entry does not contain any values for the attribute, or if none of the values matches the target value, then that entry will not match the equality filter. If an entry includes the specified value, regardless of whether it has any other values for the target attribute, then that entry will match an equality filter for that value. The presence filter “ (objectClass=*)” is often used as a kind of catch-all to match any entry, because every entry must have at least one objectClass value.Īn equality filter is used to determine whether an entry contains a specified attribute value. The attribute description (potentially including attribute options)įor example, a presence filter that will match any entry that contains one or more cn values would be “ (cn=*)”. The string representation of a presence filter is constructed as follows: If an entry does not contain any values for the attribute, then that entry will not match a presence filter targeting the attribute. If an entry contains at least one value for a particular attribute, then that entry will match a presence filter targeting the attribute. LDAP defines ten basic filter types, each of which is more fully described in the remainder of this section.Ī presence filter is used to determine whether an entry contains a specified attribute. Filters are therefore a very important aspect of LDAP and should be well understood by both administrators and application developers. Filters are a key element in defining the criteria used to identify entries in search requests, but they are also used elsewhere in LDAP for various purposes (e.g., in LDAP URLs, in the assertion request control, etc.). ![]()
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