Preface
Introduction to Informatica Edge Data Streaming
- Informatica Edge Data Streaming Overview
- Edge Data Streaming Architecture
- Data Flow Model
- Edge Data Streaming High-Level Process
- Edge Data Streaming Data Flow Process
- Edge Data Streaming User Interface
- Example
Licenses
- Licenses Overview
- Viewing the License Details
- Updating a License
- Removing a License
Using Informatica Administrator
- Using Informatica Administrator Overview
- Manage Tab - Domain View
- Manage Tab - Services and Nodes View
  - Domain
  - Application Services
- Logs Tab
- Security Tab
- Managing Your Account
- Logging In
- Password Management
  - Changing Your Password
- Managing Users and Groups
  - Default Administrator
- Managing Users
  - Creating Users
  - Unlocking a User Account
- Managing Groups
  - Adding a Native Group
- Managing Privileges
  - Domain Privileges
- Roles
- Managing Roles
- Usage Collection Policy
  - Disabling Informatica Data Usage
Creating and Managing the Edge Data Streaming Service
- Creating and Managing the Edge Data Streaming Service Overview
- Creating the Edge Data Streaming Service
  - Creating the Edge Data Streaming Service in the Administrator Tool
  - Creating the Edge Data Streaming Service using Informatica Command Line Program
- Editing the Edge Data Streaming Service
Edge Data Streaming Entity Types
- Edge Data Streaming Entity Types Overview
- Aggregators
  - Aggregator Properties
- Built-in Source Service Types
- Built-in Target Service Types
- Built-in Transformation Types
- Using Parameters in Entity Properties
  - Setting Values for Parameters
  - Examples
- Custom Entity Types
- Advanced Configuration for Entities
- Configuring High Availability for Entities
Edge Data Streaming Nodes
- Edge Data Streaming Nodes Overview
- Node Groups
- Node Group Management Tab
- Working with Node Groups
Data Connections
- Data Connections Overview
- Ultra Messaging Data Connection
- WebSocket Data Connection
  - Configuring an External Load Balancer
  - WebSocket Data Connection Properties
Working With Data Flows
- Working With Data Flows Overview
- Types of Data Flows
- Creating a Data Flow
- Data Flow Design Tab
- Adding Entities to a Data Flow
- Edge Data Streaming Node Mapping
- Deploying a Data Flow
- Undeploying a Data Flow
- Undeploying and Deploying all Data Flows
  - Undeploying All Data Flows
  - Deploying All Data Flows
- Editing Data Flows and Entities
- Cloning a Data Flow
- Removing Data Flows and Entities
- Verifying Entity Properties
- Configuring Targets with Data Connection and Target Service Properties
  - Getting the Topic Name Assigned to a Connection
  - Getting the Receiver Type ID of a Target Service
- Getting Entity Alerts
Managing the Edge Data Streaming Components
- Managing the Edge Data Streaming Components Overview
- Administrator Daemon Management
- Edge Data Streaming Node Management
- Managing the Informatica Domain
Security
- Security Overview
- Authentication
- Component Security
- Secure Communication Within the Components
- Secure Data Storage
  - Update Encryption Keys
  - Updating Security Keys
- Secure Source Services and Target Services
- Privileges and Roles
High Availability
- High Availability Overview
- Restart and Failover
- Resilience
- Configuring High Availability in Edge Data Streaming
  - Design-Time High Availability
  - Run-Time High Availability
    - Entity High Availability
Disaster Recovery
- Disaster Recovery Overview
- Step 1: Replicate the EDS Installation
- Step 2: Back Up Data Flows
- Step 3: Back Up The Node Groups
- Step 4: Set Parameters
- Step 5: Replicate Source Files and Position Files
- Step 6: Restore EDS from the Disaster Recovery Site
Monitoring Edge Data Streaming Entities
- Monitoring Edge Data Streaming Entities Overview
- Viewing the Monitoring Tab
- Monitoring Tab Layout
  - System View
  - Grid View
- Edge Data Streaming Statistics
Appendix A: Troubleshooting
- Troubleshooting Licenses
- Troubleshooting Edge Data Streaming Node Issues
- Troubleshooting Administrator Daemon Issues
- Troubleshooting the Administrator Tool
- Troubleshooting Apache ZooKeeper
- Troubleshooting Component Connectivity Issues
- Troubleshooting Edge Data Streaming High Availability
- Troubleshooting Data Flows
- Troubleshooting Entities
- Troubleshooting Monitoring Tab Views
Appendix B: Frequently Asked Questions
- Frequently Asked Questions About Edge Data Streaming
Appendix C: Regular Expressions
Appendix D: Command Line Program
- Command Line Program Overview
- infacmd eds Plugin
- Running Commands
- infacmd Return Codes
- infacmd eds Command Reference
Appendix E: Configuring Edge Data Streaming to Work With a ZooKeeper Observer
Appendix F: Glossary
- Administrator Daemon
- data flow
- Informatica Administrator
- receiver type ID
- source service
- target service
- topic resolution domain
- unicast topic resolution daemon (LBMRD)
- EDS Node

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2.5.0
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Appendix C: Regular Expressions

A regular expression describes a range or pattern of values that a filter condition can contain.

The following table describes the metacharacters that you can use in a regular expression:

Metacharacter	Description
.	Matches any single character.
[ ]	Indicates a character class. Matches any character inside the brackets. For example, [abc] matches “a,” “b,” and “c.”
^	If this metacharacter occurs at the start of a character class, it negates the character class. A negated character class matches any character except those inside the brackets. For example, [^abc] matches all characters except “a,” “b,” and “c.” If this metacharacter occurs at the beginning of the regular expression, it matches the beginning of the input. For example, ^[abc] matches the input that begins with “a,” “b,” or “c.”
-	Indicates a range of characters in a character class. For example, [0-9] matches any of the digits “0” through “9.”
?	Indicates that the preceding expression to this metacharacter is optional. It matches the preceding expression zero or one time. For example, [0-9][0-9]? matches “2” and “12.”
+	Indicates that the preceding expression matches one or more times. For example, [0-9]+ matches “1,” “13,” “666,” and similar combinations.
*	Indicates that the preceding expression matches zero or more times. For example, the input <abc*> matches <abc>, <abc123>, and similar combinations that contains <abc> as the preceding expression.
??, +?, *?	Modified versions of ?, +, and . These match as little as possible, unlike the versions that match as much as possible. For example, the input “<abc><def>,” <.?> matches “<abc>” and the input <.*> matches “<abc><def>.”
( )	Grouping operator. For example, (\d+,)*\d+ matches a list of numbers separated by commas such as “1” or “1,23,456.”
{ }	Indicates a match group.
\	An escape character, which interprets the next metacharacter literally. For example, [0-9]+ matches one or more digits, but [0-9]\+ matches a digit followed by a plus character. Also used for abbreviations such as \a for any alphanumeric character. If \ is followed by a number n , it matches the nth match group, starting from 0. For example, <{.?}>.?</\0> matches “<head>Contents</head>”. In C++ string literals, two backslashes must be used: “\\+,” “\\a,” “<{.?}>.?</\\0>.”
$	At the end of a regular expression, this character matches the end of the input. For example, [0-9]$ matches a digit at the end of the input.
\|	Alternation operator that separates two expressions, one of which matches. For example, T\|the matches “The” or “the.”
!	Negation operator. The expression following ! does not match the input. For example, a!b matches “a” not followed by “b.”

The following table describes the abbreviations that you can use in the regular expressions:

Abbreviation	Definition
\a	Any alphanumeric character, ([a-zA-Z0-9]).
\b	White space (blank), ([ \\t]).
\c	Any alphabetic character, ([a-zA-Z]).
\d	Any decimal digit, ([0-9]).
\h	Any hexadecimal digit, ([0-9a-fA-F]).
\n	Newline, (\r\|(\r?\n)).
\q	Quoted string, (\”[^\”]\”)\|(\’[^\’]\’).
\w	Simple word, ([a-zA-Z]+).
\z	Integer, ([0-9+]).

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Appendix C: Regular Expressions

Appendix C: Regular Expressions