Cinchy Platform Documentation
Cinchy v5.6
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LDAP

1. Overview

LDAP (Lightweight Directory Access Protocol) is a mature, flexible, and well supported standards-based mechanism software protocol for enabling anyone to locate data whether on the public internet or on a corporate intranet.
Common uses of LDAP include when:
  • A single piece of data needs to be found and accessed regularly;
  • Your organization has a lot of smaller data entries;
  • Your organization wants all smaller pieces of data in one centralized location, and there doesn't need to be an extreme amount of organization between the data.
The LDAP source supports batch syncs.

2. Info Tab

You can review the parameters that can be found in the info tab below (Image 1).

Values

Parameter
Description
Example
Title
Mandatory. Input a name for your data sync
LDAP to Cinchy
Version
Mandatory. This is a pre-populated field containing a version number for your data sync. You can override it if you wish.
1.0.0
Parameters
Optional. Review our documentation on Parameters here for more information about this field.
Image 1: The Info Tab

3. Source Tab

The following table outlines the mandatory and optional parameters you will find on the Source tab (Image 2).
Source Details
Schema
Filter
The following parameters will help to define your data sync source and how it functions.
Parameter
Description
Example
Source
Mandatory. Select your source from the drop down menu.
LDAP
Server
Mandatory. The name of your LDAP Server Directory
Company-1
Object Category
Mandatory. The name of the Object Category that you want to sync into your destination.
Internal-Metrics
Username
Mandatory. The name of a user who has access to the LDAP server.
Password
Mandatory. The password for the above user. The Connections UI will encrypt this value.
CN (Common Name)
Optional.
The Schema section is where you define which source columns you want to sync in your connection. You can repeat the values for multiple columns.
Parameter
Description
Example
Name
Mandatory. The name of your column as it appears in the source.
Name
Alias
Optional. You may choose to use an alias on your column so that it has a different name in the data sync.
Data Type
Mandatory. The data type of the column values.
Text
Description
Optional. You may choose to add a description to your column.
There are other options available for the Schema section if you click on Show Advanced.
Parameter
Description
Example
Mandatory
  • If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected
  • If just Mandatory is checked on a column, then all rows are synced with the execution log status of failed, and the source error of "Mandatory Rule Violation"
  • If just Validated is checked on a column, then all rows are synced.
Validate Data
  • If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected
  • If just Validated is checked on a column, then all rows are synced.
Trim Whitespace
Optional if data type = text. If your data type was chosen as "text", you can choose whether to trim the whitespace (that is, spaces and other non-printing characters).
Max Length
Optional if data type = text. You can input a numerical value in this field that represents the maximum length of the data that can be synced in your column. If the value is exceeded, the row will be rejected (you can find this error in the Execution Log).
You can choose to add in a Transformation > String Replacement by inputting the following:
Parameter
Description
Example
Pattern
Mandatory if using a Transformation. The pattern for your string replacement, i.e. the string that will be searched and replaced.
Replacement
What you want to replace your pattern with.
Note that you can have more than one String Replacement
You have the option to add a source filter to your data sync. Please review the documentation here for more information on source filters.
Image 2: The Source Tab

4. Next Steps