Cache Scope (<ee:cache/>)

Store and reuse frequently called data.

Use a Cache scope to reduce the processing load on the Mule instance and to increase the speed of message processing within a flow. The component is particularly effective for these tasks:

Processing repeated requests for the same information.
Processing requests for information that involve large repeatable streams.

When a message processor in a Mule app sends a message to the Cache scope, the parent flow expects an output. The Cache scope processes the message payload, delivers the output to the parent flow, and saves the output (that is, caches the response). The next time the Cache scope receives the same kind of message payload, the scope can produce a cached response rather than invoking a potentially time-consuming process again.

For instance, you can use a Cache scope to manage customer requests for flight information. Many customers might request the same pricing information about flights from San Francisco to Buenos Aires. Rather than using a lot of processing power to send separate requests to several airline databases with each customer query, you can use a Cache scope to schedule periodic requests to airline databases and present users with the cached prices. When the timeliness of data is not critical, Cache scope can save time and processing power.

Put any number of message processors (such as connectors or components) into a Cache scope and configure the caching strategy to store the responses (which contain the payload of the response message) produced by the processing that occurs within the scope.

The cache scope also works in clustered environments because the object store configured in the caching strategy is shared across all nodes in the cluster.

Caching Process

The Cache scope caches repeatable streams. It does not cache nonrepeatable streams, which can be read only once before they are lost. By default, all streams are repeatable in Mule unless a component’s streaming strategy is configured to be nonrepeatable.

In general, the caching process follows this sequence:

A message enters the Cache scope.
The Cache scope determines whether the message payload is nonrepeatable.
The Cache scope generates a key to identify the message’s payload.

By default, Mule uses an SHA256KeyGenerator and a SHA256 digest to generate a unique key for the message payload. However, you can set up your own key through a custom caching strategy.
The Cache scope compares the newly generated key to cached responses that it has previously processed and saves it in the object store you set up (recommended) or in the default InMemoryObjectStore.
- If there is no cached response event (a cache miss), the Cache scope processes the new message and produces a response.
  
  It also saves the resulting response in the object store (if the response is repeatable).
- If there is a cached response event (a cache hit), the caching strategy generates a response that combines data from both the new request and the cached response.
  
  If the generated response is a nonrepeatable stream, the scope does not cache the response.
The Cache scope pushes the response out into the parent flow for continued processing.

Caching Strategy

A caching strategy defines the actions a Cache scope takes when a message enters it. By default, the Cache scope uses a caching strategy that stores data in an in-memory object store. You can create a custom caching strategy that references an existing object store, or you can create a new custom object store to use in this caching strategy.

You can configure the cache size, expiration time, and maximum allowed entries by setting these values in the object store that you define or reference from the caching strategy. You can also configure a caching strategy to sync access to the cache, to avoid different message processors from using the cache at the same time.

Your caching strategy can also reference these customizations:

Event Key for the object store, which is a DataWeave expression or Java object used to create the key to use for storing the payload in the object store.
Response Generator for your strategy, which is a reference to a Java object that is used to create the responses returned by the caching strategy.
Event Copy Strategy for mutable or immutable data.

Synchronized Access to a Cache

By default, Mule synchronizes access to a cache to avoid unexpected results if multiple message processors (on the same or different Mule instances) use the cache at the same time.

Consider a scenario in which two message processors attempt to retrieve a value from a cache but do not find the value in the cache. Each message processor calculates the value independently and inserts it into the cache. If access to the cache is not synchronized, the value inserted by the second message processor overwrites the value inserted by the first message processor. If the values are different, then two different results are obtained for the same input, with only the last one stored in the cache.

In some scenarios this outcome is valid, but this outcome is an issue if the application requires cache coherence. Synchronizing the caching strategy ensures coherence. A synchronized cache is locked when it undergoes modifications by a message processor. In this scenario, a locked cache forces the second message processor to wait until the first message processor has calculated the value, and then it retrieves the value from the cache.

You can disable cache synchronization by defining the synchronized property in the <ee:object-store-caching-strategy/> element and setting it to false.

Synchronization affects performance, and the impact is most severe in cluster mode.

Component XML

This component supports the following XML structure:

<!-- Caching Strategy definition -->
<ee:object-store-caching-strategy
  name="Caching_Strategy"
  doc:name="Caching Strategy">
    <!-- Object Store to use for the caching strategy -->
</ee:object-store-caching-strategy>

<!-- Cache scope referencing the strategy -->
<ee:cache
  doc:name="Cache"
  doc:id="ahiceg"
  cachingStrategy-ref="Caching_Strategy" >
     <!-- Processing logic to cache -->
</ee:cache>

Cache (<cache/>) attributes are configurable through the UI and XML:

Attribute Name Attribute XML Description

Attribute Name	Attribute XML	Description
Cache (default)	`doc:name`	Editable name for the component to display in the canvas.
N/A	`doc:id`	Automatically generated identifier for the component.
Cachingstrategy ref	`cachingStrategy-ref`	Name of a caching strategy to reference.
Filter expression	`filterExpression`	DataWeave expression for excluding specific payloads from the Cache scope flow.

Cache (default)

doc:name

Editable name for the component to display in the canvas.

N/A

doc:id

Automatically generated identifier for the component.

Cachingstrategy ref

cachingStrategy-ref

Name of a caching strategy to reference.

Filter expression

filterExpression

DataWeave expression for excluding specific payloads from the Cache scope flow.

The global configuration element <object-store-caching-strategy/> provides the following attributes:

Attribute Name Attribute XML Description

Attribute Name	Attribute XML	Description
N/A	`doc:name`	Editable name for the component to display in the canvas.
N/A	`doc:id`	Automatically generated identifier for the component.
N/A	`keyGenerationExpression`	Optional. A DataWeave expression to generate the key, for example, `keyGenerationExpression="#[vars.requestId]"`.
N/A	`synchronized`	Indicates whether Mule syncs access to a cache. Accepted values are `true` or `false`. Defaults to `true`.

N/A

doc:name

Editable name for the component to display in the canvas.

N/A

doc:id

Automatically generated identifier for the component.

N/A

keyGenerationExpression

Optional. A DataWeave expression to generate the key, for example, keyGenerationExpression="#[vars.requestId]".

N/A

synchronized

Indicates whether Mule syncs access to a cache. Accepted values are true or false. Defaults to true.

Examples

The following examples show how to configure a Cache scope and a Caching Strategy.

Example: Cache Scope Configuration

The following example shows the configuration of a Caching Strategy, which is then referenced by a Cache Scope that contains a Database Select operation and a Transform component:

<!-- Caching Strategy definition-->
<ee:object-store-caching-strategy name="Caching_Strategy" doc:name="Caching Strategy" />

<!-- The Database Connector config is necessary in this example because there is a Database Select operation-->
<db:config name="Database_Config" doc:name="Database Config" >
    <!-- Database Connector Configuration -->
</db:config>

<!-- Cache Scope configuration referencing the Caching Strategy-->
<ee:cache doc:name="Cache" cachingStrategy-ref="Caching_Strategy">
  <db:select doc:name="Select" config-ref="Database_Config">
    <db:sql >
      <!-- An SQL query-->
    </db:sql>
  </db:select>
  <ee:transform doc:name="Transform Message" >
    <ee:message >
      <ee:set-payload >
        <!-- A DataWeave transformation for the query results -->
      </ee:set-payload>
    </ee:message>
  </ee:transform>
</ee:cache>

Example: Caching Strategy

The following XML example shows the configuration of a caching strategy that synchronizes access to the cache, and defines a persistent object store to store the cached responses. The caching strategy is then referenced by a Cache scope:

<!-- Caching strategy definition -->
<ee:object-store-caching-strategy
  name="Caching_Strategy"
  doc:name="Caching Strategy">
  <!-- Object Store defined for the caching strategy-->
  <os:private-object-store
    alias="CachingStrategy_ObjectStore"
    maxEntries="100"
    entryTtl="10"
    expirationInterval="5"
    config-ref="ObjectStore_Config" />
</ee:object-store-caching-strategy>

<!-- Cache scope referencing the strategy-->
<ee:cache doc:name="Cache" cachingStrategy-ref="Caching_Strategy">
      <!-- Some processing logic to cache-->
</ee:cache>

Gartner names MuleSoft a Leader

Unleash the power of Salesforce Customer 360 through integration

Anypoint Platform Fundamentals

MuleSoft at World Tour