Duplicate Message Detection | ActiveMQ Artemis Documentation

- Introduction
- 1. Legal Notice
- 2. Preface
- 3. Project Info
- 4. Messaging Concepts
- 5. Architecture
- 6. Using the Server
- 7. Using JMS
- 8. Using Core
- 9. Mapping JMS Concepts to the Core API
- 10. The Client Classpath
- 11. Examples
- 12. Routing Messages With Wild Cards
- 13. Understanding the Apache ActiveMQ Artemis Wildcard Syntax
- 14. Filter Expressions
- 15. Persistence
- 16. Configuring Transports
- 17. Detecting Dead Connections
- 18. Detecting Slow Consumers
- 19. Resource Manager Configuration
- 20. Flow Control
- 21. Guarantees of sends and commits
- 22. Message Redelivery and Undelivered Messages
- 23. Message Expiry
- 24. Large Messages
- 25. Paging
- 26. Queue Attributes
- 27. Scheduled Messages
- 28. Last-Value Queues
- 29. Message Grouping
- 30. Extra Acknowledge Modes
- 31. Management
- 32. Security
- 33. Resource Limits
- 34. The JMS Bridge
- 35. Client Reconnection and Session Reattachment
- 36. Diverting and Splitting Message Flows
- 37. Core Bridges
- 38. Duplicate Message Detection
- 39. Clusters
- 40. High Availability and Failover
- 41. Graceful Server Shutdown
- 42. Libaio Native Libraries
- 43. Thread management
- 44. Logging
- 45. REST Interface
- 46. Embedding Apache ActiveMQ Artemis
- 47. Spring Integration
- 48. AeroGear Integration
- 49. VertX Integration
- 50. Intercepting Operations
- 51. Protocols and Interoperability
- 52. Tools
- 53. Maven Plugin
- 54. Troubleshooting and Performance Tuning
- 55. Configuration Reference
- Published using GitBook

# ActiveMQ Artemis Documentation

# Duplicate Message Detection

Apache ActiveMQ Artemis includes powerful automatic duplicate message detection, filtering out duplicate messages without you having to code your own fiddly duplicate detection logic at the application level. This chapter will explain what duplicate detection is, how Apache ActiveMQ Artemis uses it and how and where to configure it.

When sending messages from a client to a server, or indeed from a server to another server, if the target server or connection fails sometime after sending the message, but before the sender receives a response that the send (or commit) was processed successfully then the sender cannot know for sure if the message was sent successfully to the address.

If the target server or connection failed after the send was received and processed but before the response was sent back then the message will have been sent to the address successfully, but if the target server or connection failed before the send was received and finished processing then it will not have been sent to the address successfully. From the senders point of view it's not possible to distinguish these two cases.

When the server recovers this leaves the client in a difficult situation. It knows the target server failed, but it does not know if the last message reached its destination ok. If it decides to resend the last message, then that could result in a duplicate message being sent to the address. If each message was an order or a trade then this could result in the order being fulfilled twice or the trade being double booked. This is clearly not a desirable situation.

Sending the message(s) in a transaction does not help out either. If the server or connection fails while the transaction commit is being processed it is also indeterminate whether the transaction was successfully committed or not!

To solve these issues Apache ActiveMQ Artemis provides automatic duplicate messages detection for messages sent to addresses.

## Using Duplicate Detection for Message Sending

Enabling duplicate message detection for sent messages is simple: you just need to set a special property on the message to a unique value. You can create the value however you like, as long as it is unique. When the target server receives the message it will check if that property is set, if it is, then it will check in its in memory cache if it has already received a message with that value of the header. If it has received a message with the same value before then it will ignore the message.

> Note

> Using duplicate detection to move messages between nodes can give you the same once and only once delivery guarantees as if you were using an XA transaction to consume messages from source and send them to the target, but with less overhead and much easier configuration than using XA.

If you're sending messages in a transaction then you don't have to set the property for every message you send in that transaction, you only need to set it once in the transaction. If the server detects a duplicate message for any message in the transaction, then it will ignore the entire transaction.

The name of the property that you set is given by the value of `org.apache.activemq.artemis.api.core.Message.HDR_DUPLICATE_DETECTION_ID`, which is `_AMQ_DUPL_ID`

The value of the property can be of type `byte[]` or `SimpleString` if you're using the core API. If you're using JMS it must be a `String`, and its value should be unique. An easy way of generating a unique id is by generating a UUID.

Here's an example of setting the property using the core API:

    ...

    ClientMessage message = session.createMessage(true);

    SimpleString myUniqueID = "This is my unique id";   // Could use a UUID for this

    message.setStringProperty(HDR_DUPLICATE_DETECTION_ID, myUniqueID);

And here's an example using the JMS API:

    ...

    Message jmsMessage = session.createMessage();

    String myUniqueID = "This is my unique id";   // Could use a UUID for this

    message.setStringProperty(HDR_DUPLICATE_DETECTION_ID.toString(), myUniqueID);

    ...

## Configuring the Duplicate ID Cache

The server maintains caches of received values of the `org.apache.activemq.artemis.core.message.impl.HDR_DUPLICATE_DETECTION_ID` property sent to each address. Each address has its own distinct cache.

The cache is a circular fixed size cache. If the cache has a maximum size of `n` elements, then the `n + 1`th id stored will overwrite the `0`th element in the cache.

The maximum size of the cache is configured by the parameter `id-cache-size` in `broker.xml`, the default value is `2000` elements.

The caches can also be configured to persist to disk or not. This is configured by the parameter `persist-id-cache`, also in `broker.xml`. If this is set to `true` then each id will be persisted to permanent storage as they are received. The default value for this parameter is `true`.

> Note

> When choosing a size of the duplicate id cache be sure to set it to a larger enough size so if you resend messages all the previously sent ones are in the cache not having been overwritten.

## Duplicate Detection and Bridges

Core bridges can be configured to automatically add a unique duplicate id value (if there isn't already one in the message) before forwarding the message to it's target. This ensures that if the target server crashes or the connection is interrupted and the bridge resends the message, then if it has already been received by the target server, it will be ignored.

To configure a core bridge to add the duplicate id header, simply set the `use-duplicate-detection` to `true` when configuring a bridge in `broker.xml`.

The default value for this parameter is `true`.

For more information on core bridges and how to configure them, please see Core Bridges.

## Duplicate Detection and Cluster Connections

Cluster connections internally use core bridges to move messages reliable between nodes of the cluster. Consequently they can also be configured to insert the duplicate id header for each message they move using their internal bridges.

To configure a cluster connection to add the duplicate id header, simply set the `use-duplicate-detection` to `true` when configuring a cluster connection in `broker.xml`.

The default value for this parameter is `true`.

For more information on cluster connections and how to configure them, please see Clusters.