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+## Split EIP
+The 
link:http://www.enterpriseintegrationpatterns.com/patterns/messaging/Sequencer.html[Splitter]
 from the link:enterprise-integration-patterns.html[EIP patterns] allows you 
split a message into a number of pieces and process them individually.
+
+image:http://www.enterpriseintegrationpatterns.com/img/Sequencer.gif[image]
+
+You need to specify a Splitter as `split()`. In earlier versions of Camel, you 
need to use `splitter()`.
+
+
+// eip options: START
+The Split EIP supports 12 options which are listed below:
+
+{% raw %}
+[width="100%",cols="3,1m,6",options="header"]
+|=======================================================================
+| Name | Java Type | Description
+| parallelProcessing | Boolean | If enabled then processing each splitted 
messages occurs concurrently. Note the caller thread will still wait until all 
messages has been fully processed before it continues. Its only processing the 
sub messages from the splitter which happens concurrently.
+| strategyRef | String | Sets a reference to the AggregationStrategy to be 
used to assemble the replies from the splitted messages into a single outgoing 
message from the Splitter. By default Camel will use the original incoming 
message to the splitter (leave it unchanged). You can also use a POJO as the 
AggregationStrategy
+| strategyMethodName | String | This option can be used to explicit declare 
the method name to use when using POJOs as the AggregationStrategy.
+| strategyMethodAllowNull | Boolean | If this option is false then the 
aggregate method is not used if there was no data to enrich. If this option is 
true then null values is used as the oldExchange (when no data to enrich) when 
using POJOs as the AggregationStrategy
+| executorServiceRef | String | Refers to a custom Thread Pool to be used for 
parallel processing. Notice if you set this option then parallel processing is 
automatic implied and you do not have to enable that option as well.
+| streaming | Boolean | When in streaming mode then the splitter splits the 
original message on-demand and each splitted message is processed one by one. 
This reduces memory usage as the splitter do not split all the messages first 
but then we do not know the total size and therefore the link 
org.apache.camel.ExchangeSPLIT_SIZE is empty. In non-streaming mode (default) 
the splitter will split each message first to know the total size and then 
process each message one by one. This requires to keep all the splitted 
messages in memory and therefore requires more memory. The total size is 
provided in the link org.apache.camel.ExchangeSPLIT_SIZE header. The streaming 
mode also affects the aggregation behavior. If enabled then Camel will process 
replies out-of-order eg in the order they come back. If disabled Camel will 
process replies in the same order as the messages was splitted.
+| stopOnException | Boolean | Will now stop further processing if an exception 
or failure occurred during processing of an org.apache.camel.Exchange and the 
caused exception will be thrown. Will also stop if processing the exchange 
failed (has a fault message) or an exception was thrown and handled by the 
error handler (such as using onException). In all situations the splitter will 
stop further processing. This is the same behavior as in pipeline which is used 
by the routing engine. The default behavior is to not stop but continue 
processing till the end
+| timeout | Long | Sets a total timeout specified in millis when using 
parallel processing. If the Splitter hasn't been able to split and process all 
the sub messages within the given timeframe then the timeout triggers and the 
Splitter breaks out and continues. Notice if you provide a 
TimeoutAwareAggregationStrategy then the timeout method is invoked before 
breaking out. If the timeout is reached with running tasks still remaining 
certain tasks for which it is difficult for Camel to shut down in a graceful 
manner may continue to run. So use this option with a bit of care.
+| onPrepareRef | String | Uses the Processor when preparing the 
org.apache.camel.Exchange to be send. This can be used to deep-clone messages 
that should be send or any custom logic needed before the exchange is send.
+| shareUnitOfWork | Boolean | Shares the org.apache.camel.spi.UnitOfWork with 
the parent and each of the sub messages. Splitter will by default not share 
unit of work between the parent exchange and each splitted exchange. This means 
each splitted exchange has its own individual unit of work.
+| parallelAggregate | Boolean | If enabled then the aggregate method on 
AggregationStrategy can be called concurrently. Notice that this would require 
the implementation of AggregationStrategy to be implemented as thread-safe. By 
default this is false meaning that Camel synchronizes the call to the aggregate 
method. Though in some use-cases this can be used to archive higher performance 
when the AggregationStrategy is implemented as thread-safe.
+| stopOnAggregateException | Boolean | If enabled unwind exceptions occurring 
at aggregation time to the error handler when parallelProcessing is used. 
Currently aggregation time exceptions do not stop the route processing when 
parallelProcessing is used. Enabling this option allows to work around this 
behavior. The default value is false for the sake of backward compatibility.
+|=======================================================================
+{% endraw %}
+// eip options: END
+
+### Exchange properties
+The following properties are set on each Exchange that are split:
+
+[width="100%",cols="3,1m,6",options="header"]
+|=======================================================================
+| Property | Type | Description
+| `CamelSplitIndex` | `int` | A split counter that increases for each Exchange 
being split. The counter starts from 0.
+| `CamelSplitSize` | `int` | The total number of Exchanges that was splitted. 
This header is not applied for stream based splitting. From *Camel 2.9* onwards 
this header is also set in stream based splitting, but only on the completed 
Exchange.
+| `CamelSplitComplete` | `boolean` | *Camel 2.4*: Whether or not this Exchange 
is the last.
+|=======================================================================
+
+
+### Examples
+The following example shows how to take a request from the *direct:a* endpoint 
the split it into pieces using an Expression, then forward each piece to 
*direct:b*
+
+#### Using the Fluent Builders
+
+[source,java]
+---------------------
+RouteBuilder builder = new RouteBuilder() {
+    public void configure() {
+        errorHandler(deadLetterChannel("mock:error"));
+
+        from("direct:a")
+            .split(body(String.class).tokenize("\n"))
+                .to("direct:b");
+    }
+};
+---------------------
+
+The splitter can use any Expression language so you could use any of the 
Languages Supported such as XPath, XQuery, SQL or one of the Scripting 
Languages to perform the split. e.g.
+
+[source,java]
+---------------------
+from("activemq:my.queue").split(xpath("//foo/bar")).convertBodyTo(String.class).to("file://some/directory")
+---------------------
+
+#### Using the Spring XML Extensions
+
+[source,xml]
+---------------------
+<camelContext errorHandlerRef="errorHandler" 
xmlns="http://camel.apache.org/schema/spring";>
+    <route>
+        <from uri="direct:a"/>
+        <split>
+            <xpath>/invoice/lineItems</xpath>
+            <to uri="direct:b"/>
+        </split>
+    </route>
+</camelContext>
+---------------------
+
+For further examples of this pattern in use you could look at one of the junit 
test case.
+
+### Splitting a Collection, Iterator or Array
+A common use case is to split a Collection, Iterator or Array from the 
message. In the sample below we simply use an Expression to identify the value 
to split.
+
+[source,java]
+---------------------
+from("direct:splitUsingBody").split(body()).to("mock:result");
+
+from("direct:splitUsingHeader").split(header("foo")).to("mock:result");
+---------------------
+
+In Spring XML you can use the Simple language to identify the value to split.
+
+[source,java]
+---------------------
+<split>
+   <simple>${body}</simple>
+   <to uri="mock:result"/>
+</split>
+
+<split>
+   <simple>${header.foo}</simple>
+   <to uri="mock:result"/>
+</split>
+---------------------
+
+### Using Tokenizer from Spring XML Extensions*
+You can use the tokenizer expression in the Spring DSL to split bodies or 
headers using a token. This is a common use-case, so we provided a special 
*tokenizer* tag for this.
+In the sample below we split the body using a @ as separator. You can of 
course use comma or space or even a regex pattern, also set regex=true.
+
+[source,xml]
+---------------------
+<camelContext xmlns="http://camel.apache.org/schema/spring";>
+    <route>
+        <from uri="direct:start"/>
+        <split>
+            <tokenize token="@"/>
+            <to uri="mock:result"/>
+        </split>
+    </route>
+</camelContext>
+---------------------
+
+### What the Splitter returns
+
+*Camel 2.2 or older:*
+The Splitter will by default return the *last* splitted message.
+
+*Camel 2.3 and newer*
+The Splitter will by default return the original input message.
+
+*For all versions*
+You can override this by suppling your own strategy as an AggregationStrategy. 
There is a sample on this page (Split aggregate request/reply sample). Notice 
its the same strategy as the Aggregator supports. This Splitter can be viewed 
as having a build in light weight Aggregator.
+
+### Parallel execution of distinct 'parts'
+
+If you want to execute all parts in parallel you can use special notation of 
`split()` with two arguments, where the second one is a *boolean* flag if 
processing should be parallel. e.g.
+
+[source,java]
+---------------------
+XPathBuilder xPathBuilder = new XPathBuilder("//foo/bar");
+from("activemq:my.queue").split(xPathBuilder, true).to("activemq:my.parts");
+---------------------
+
+The boolean option has been refactored into a builder method 
`parallelProcessing` so its easier to understand what the route does when we 
use a method instead of true|false.
+
+[source,java]
+---------------------
+XPathBuilder xPathBuilder = new XPathBuilder("//foo/bar");
+from("activemq:my.queue").split(xPathBuilder).parallelProcessing().to("activemq:my.parts");
+---------------------
+
+### Stream based
+
+[NOTE]
+.Splitting big XML payloads
+====
+The XPath engine in Java and saxon will load the entire XML content into 
memory. And thus they are not well suited for very big XML payloads.
+Instead you can use a custom Expression which will iterate the XML payload in 
a streamed fashion. From Camel 2.9 onwards you can use the Tokenizer language
+which supports this when you supply the start and end tokens. From Camel 2.14, 
you can use the XMLTokenizer language which is specifically provided for 
tokenizing XML documents.
+====
+
+You can split streams by enabling the streaming mode using the streaming 
builder method.
+
+[source,java]
+---------------------
+from("direct:streaming").split(body().tokenize(",")).streaming().to("activemq:my.parts");
+---------------------
+
+You can also supply your custom splitter to use with streaming like this:
+
+[source,java]
+---------------------
+import static org.apache.camel.builder.ExpressionBuilder.beanExpression;
+from("direct:streaming")
+     .split(beanExpression(new MyCustomIteratorFactory(),  "iterator"))
+     .streaming().to("activemq:my.parts")
+---------------------
+
+### Streaming big XML payloads using Tokenizer language
+
+
+There are two tokenizers that can be used to tokenize an XML payload. The 
first tokenizer uses the same principle as in the text tokenizer to scan the 
XML payload and extract a sequence of tokens.
+
+*Available as of Camel 2.9*
+
+If you have a big XML payload, from a file source, and want to split it in 
streaming mode, then you can use the Tokenizer language with start/end tokens 
to do this with low memory footprint.
+
+[NOTE]
+.StAX component
+====
+The Camel StAX component can also be used to split big XML files in a 
streaming mode. See more details at StAX.
+====
+
+For example you may have a XML payload structured as follows
+[source,xml]
+--------------------------------------------------------
+<orders>
+  <order>
+    <!-- order stuff here -->
+  </order>
+  <order>
+    <!-- order stuff here -->
+  </order>
+...
+  <order>
+    <!-- order stuff here -->
+  </order>
+</orders>
+--------------------------------------------------------
+
+Now to split this big file using XPath would cause the entire content to be 
loaded into memory. So instead we can use the Tokenizer language to do this as 
follows:
+[source,java]
+--------------------------------------------------------
+from("file:inbox")
+  .split().tokenizeXML("order").streaming()
+     .to("activemq:queue:order");
+--------------------------------------------------------
+
+In XML DSL the route would be as follows:
+[source,xml]
+--------------------------------------------------------
+<route>
+  <from uri="file:inbox"/>
+  <split streaming="true">
+    <tokenize token="order" xml="true"/>
+    <to uri="activemq:queue:order"/>
+  </split>
+</route>
+--------------------------------------------------------
+
+Notice the `tokenizeXML` method which will split the file using the tag name 
of the child node (more precisely speaking, the local name of the element 
without its namespace prefix if any), which mean it will grab the content 
between the <order> and </order> tags (incl. the tokens). So for example a 
splitted message would be as follows:
+[source,xml]
+--------------------------------------------------------
+<order>
+  <!-- order stuff here -->
+</order>
+--------------------------------------------------------
+
+If you want to inherit namespaces from a root/parent tag, then you can do this 
as well by providing the name of the root/parent tag:
+[source,xml]
+--------------------------------------------------------
+<route>
+  <from uri="file:inbox"/>
+  <split streaming="true">
+    <tokenize token="order" inheritNamespaceTagName="orders" xml="true"/>
+    <to uri="activemq:queue:order"/>
+  </split>
+</route>
+--------------------------------------------------------
+
+And in Java DSL its as follows:
+[source,java]
+--------------------------------------------------------
+from("file:inbox")
+  .split().tokenizeXML("order", "orders").streaming()
+     .to("activemq:queue:order");
+--------------------------------------------------------
+
+Available as of Camel 2.13.1, you can set the above inheritNamsepaceTagName 
property to "*" to include the preceding context in each token (i.e., 
generating each token enclosed in its ancestor elements). It is noted that each 
token must share the same ancestor elements in this case.
+
+The above tokenizer works well on simple structures but has some inherent 
limitations in handling more complex XML structures.
+
+*Available as of Camel 2.14*
+
+The second tokenizer uses a StAX parser to overcome these limitations. This 
tokenizer recognizes XML namespaces and also handles simple and complex XML 
structures more naturally and efficiently.
+
+To split using this tokenizer at {urn:shop}order, we can write
+
+[source,java]
+--------------------------------------------------------
+Namespaces ns = new Namespaces("ns1", "urn:shop");
+...
+from("file:inbox")
+  .split().xtokenize("//ns1:order", 'i', ns).streaming()
+    .to("activemq:queue:order)
+--------------------------------------------------------
+
+Two arguments control the behavior of the tokenizer. The first argument 
specifies the element using a path notation. This path notation uses a subset 
of xpath with wildcard support. The second argument represents the extraction 
mode. The available extraction modes are:
+
+[width="100%",cols="3,6",options="header"]
+|=======================================================================
+| Mode | Description
+| i | injecting the contextual namespace bindings into the extracted token 
(default)
+| w | wrapping the extracted token in its ancestor context
+| u | unwrapping the extracted token to its child content
+| t | extracting the text content of the specified element
+|=======================================================================
+
+Having an input XML
+[source,xml]
+--------------------------------------------------------
+<m:orders xmlns:m="urn:shop" xmlns:cat="urn:shop:catalog">
+  <m:order><id>123</id><date>2014-02-25</date>...</m:order>
+...
+--------------------------------------------------------
+
+Each mode will result in the following tokens,
+[width="100%",cols="3,6",options="header"]
+|=======================================================================
+| Mode | Description
+| i | <m:order xmlns:m="urn:shop" 
xmlns:cat="urn:shop:catalog"><id>123</id><date>2014-02-25</date>...</m:order>
+| w | <m:orders xmlns:m="urn:shop" xmlns:cat="urn:shop:catalog">
+
+  <m:order><id>123</id><date>2014-02-25</date>...</m:order>
+
+</m:orders>
+| u | <id>123</id><date>2014-02-25</date>...
+| t | 1232014-02-25...
+|=======================================================================
+
+In XML DSL, the equivalent route would be written as follows:
+
+[source,xml]
+--------------------------------------------------------
+<camelContext xmlns:ns1="urn:shop">
+  <route>
+    <from uri="file:inbox"/>
+    <split streaming="true">
+      <xtokenize>//ns1:order</xtokenize>
+      <to uri="activemq:queue:order"/>
+    </split>
+  </route>
+</camelContext>
+--------------------------------------------------------
+
+ or setting the extraction mode explicitly as
+
+[source,java]
+--------------------------------------------------------
+...
+<xtokenize mode="i">//ns1:order</xtokenize>
+...
+--------------------------------------------------------
+
+Note that this StAX based tokenizer's uses StAX Location API and requires a 
StAX Reader implementation (e.g., woodstox) that correctly returns the offset 
position pointing to the beginning of each event triggering segment (e.g., the 
offset position of '<' at each start and end element event). If you use a StAX 
Reader which does not implement that API correctly it results in invalid xml 
snippets after the split. For example the snippet could be wrong terminated:
+[source,java]
+--------------------------------------------------------
+<Start>...<</Start> .... <Start>...</</Start>
+--------------------------------------------------------
+
+### Splitting files by grouping N lines together
+*Available as of Camel 2.10*
+
+The Tokenizer language has a new option group that allows you to group N parts 
together, for example to split big files into chunks of 1000 lines.
+[source,java]
+--------------------------------------------------------
+from("file:inbox")
+  .split().tokenize("\n", 1000).streaming()
+     .to("activemq:queue:order");
+--------------------------------------------------------
+
+And in XML DSL
+
+[source,xml]
+--------------------------------------------------------
+<route>
+  <from uri="file:inbox"/>
+  <split streaming="true">
+    <tokenize token="\n" group="1000"/>
+    <to uri="activemq:queue:order"/>
+  </split>
+</route>
+--------------------------------------------------------
+
+The group option is a number that must be a positive number that dictates how 
many groups to combine together. Each part will be combined using the token.
+
+So in the example above the message being sent to the activemq order queue, 
will contain 1000 lines, and each line separated by the token (which is a new 
line token).
+
+The output when using the group option is always a `java.lang.String` type.
+
+### Specifying a custom aggregation strategy
+This is specified similar to the Aggregator.
+
+### Specifying a custom ThreadPoolExecutor
+You can customize the underlying ThreadPoolExecutor used in the parallel 
splitter. In the Java DSL try something like this:
+[source,java]
+--------------------------------------------------------
+XPathBuilder xPathBuilder = new XPathBuilder("//foo/bar");
+
+ExecutorService pool = ...
+
+from("activemq:my.queue")
+    .split(xPathBuilder).executorService(pool)
+        .to("activemq:my.parts");
+--------------------------------------------------------
+
+### Using a Pojo to do the splitting
+
+As the Splitter can use any Expression to do the actual splitting we leverage 
this fact and use a *method* expression to invoke a Bean to get the splitted 
parts.
+
+The Bean should return a value that is iterable such as: 
`java.util.Collection`, `java.util.Iterator` or an array.
+
+So the returned value, will then be used by Camel at runtime, to split the 
message.
+
+[TIP]
+.Streaming mode and using pojo
+====
+When you have enabled the streaming mode, then you should return a `Iterator` 
to ensure streamish fashion. For example if the message is a big file, then by 
using an iterator, that returns a piece of the file in chunks, in the next 
method of the `Iterator` ensures low memory footprint. This avoids the need for 
reading the entire content into memory. For an example see the source code for 
the TokenizePair implementation.
+====
+
+In the route we define the Expression as a method call to invoke our Bean that 
we have registered with the id mySplitterBean in the Registry.
+
+
+[source,java]
+--------------------------------------------------------
+from("direct:body")
+        // here we use a POJO bean mySplitterBean to do the split of the 
payload
+        .split().method("mySplitterBean", "splitBody")
+        .to("mock:result");
+from("direct:message")
+        // here we use a POJO bean mySplitterBean to do the split of the 
message
+        // with a certain header value
+        .split().method("mySplitterBean", "splitMessage")
+        .to("mock:result");
+--------------------------------------------------------
+
+And the logic for our Bean is as simple as. Notice we use Camel Bean Binding 
to pass in the message body as a String object.
+
+[source,java]
+--------------------------------------------------------
+public class MySplitterBean {
+
+    /**
+     * The split body method returns something that is iteratable such as a 
java.util.List.
+     *
+     * @param body the payload of the incoming message
+     * @return a list containing each part splitted
+     */
+    public List<String> splitBody(String body) {
+        // since this is based on an unit test you can of cause
+        // use different logic for splitting as Camel have out
+        // of the box support for splitting a String based on comma
+        // but this is for show and tell, since this is java code
+        // you have the full power how you like to split your messages
+        List<String> answer = new ArrayList<String>();
+        String[] parts = body.split(",");
+        for (String part : parts) {
+            answer.add(part);
+        }
+        return answer;
+    }
+
+    /**
+     * The split message method returns something that is iteratable such as a 
java.util.List.
+     *
+     * @param header the header of the incoming message with the name user
+     * @param body the payload of the incoming message
+     * @return a list containing each part splitted
+     */
+    public List<Message> splitMessage(@Header(value = "user") String header, 
@Body String body) {
+        // we can leverage the Parameter Binding Annotations
+        // http://camel.apache.org/parameter-binding-annotations.html
+        // to access the message header and body at same time,
+        // then create the message that we want, splitter will
+        // take care rest of them.
+        // *NOTE* this feature requires Camel version >= 1.6.1
+        List<Message> answer = new ArrayList<Message>();
+        String[] parts = header.split(",");
+        for (String part : parts) {
+            DefaultMessage message = new DefaultMessage();
+            message.setHeader("user", part);
+            message.setBody(body);
+            answer.add(message);
+        }
+        return answer;
+    }
+}
+--------------------------------------------------------
+
+
+### Split aggregate request/reply sample
+This sample shows how you can split an Exchange, process each splitted 
message, aggregate and return a combined response to the original caller using 
request/reply.
+The route below illustrates this and how the split supports a 
*`aggregationStrategy`* to hold the in progress processed messages:
+
+[source,java]
+--------------------------------------------------------
+// this routes starts from the direct:start endpoint
+// the body is then splitted based on @ separator
+// the splitter in Camel supports InOut as well and for that we need
+// to be able to aggregate what response we need to send back, so we provide 
our
+// own strategy with the class MyOrderStrategy.
+from("direct:start")
+    .split(body().tokenize("@"), new MyOrderStrategy())
+        // each splitted message is then send to this bean where we can 
process it
+        .to("bean:MyOrderService?method=handleOrder")
+        // this is important to end the splitter route as we do not want to do 
more routing
+        // on each splitted message
+    .end()
+    // after we have splitted and handled each message we want to send a 
single combined
+    // response back to the original caller, so we let this bean build it for 
us
+    // this bean will receive the result of the aggregate strategy: 
MyOrderStrategy
+    .to("bean:MyOrderService?method=buildCombinedResponse")
+--------------------------------------------------------
+
+And the OrderService bean is as follows:
+
+[source,java]
+--------------------------------------------------------
+public static class MyOrderService {
+
+    private static int counter;
+
+    /**
+     * We just handle the order by returning a id line for the order
+     */
+    public String handleOrder(String line) {
+        LOG.debug("HandleOrder: " + line);
+        return "(id=" + ++counter + ",item=" + line + ")";
+    }
+
+    /**
+     * We use the same bean for building the combined response to send
+     * back to the original caller
+     */
+    public String buildCombinedResponse(String line) {
+        LOG.debug("BuildCombinedResponse: " + line);
+        return "Response[" + line + "]";
+    }
+}
+--------------------------------------------------------
+
+And our custom *`aggregationStrategy`* that is responsible for holding the in 
progress aggregated message that after the splitter is ended will be sent to 
the *`buildCombinedResponse`* method for final processing before the combined 
response can be returned to the waiting caller.
+
+[source,java]
+--------------------------------------------------------
+/**
+ * This is our own order aggregation strategy where we can control
+ * how each splitted message should be combined. As we do not want to
+ * loos any message we copy from the new to the old to preserve the
+ * order lines as long we process them
+ */
+public static class MyOrderStrategy implements AggregationStrategy {
+
+    public Exchange aggregate(Exchange oldExchange, Exchange newExchange) {
+        // put order together in old exchange by adding the order from new 
exchange
+
+        if (oldExchange == null) {
+            // the first time we aggregate we only have the new exchange,
+            // so we just return it
+            return newExchange;
+        }
+
+        String orders = oldExchange.getIn().getBody(String.class);
+        String newLine = newExchange.getIn().getBody(String.class);
+
+        LOG.debug("Aggregate old orders: " + orders);
+        LOG.debug("Aggregate new order: " + newLine);
+
+        // put orders together separating by semi colon
+        orders = orders + ";" + newLine;
+        // put combined order back on old to preserve it
+        oldExchange.getIn().setBody(orders);
+
+        // return old as this is the one that has all the orders gathered 
until now
+        return oldExchange;
+    }
+}
+--------------------------------------------------------
+
+So lets run the sample and see how it works.
+
+We send an Exchange to the *direct:start* endpoint containing a IN body with 
the String value: A@B@C. The flow is:
+[source,xml]
+--------------------------------------------------------
+HandleOrder: A
+HandleOrder: B
+Aggregate old orders: (id=1,item=A)
+Aggregate new order: (id=2,item=B)
+HandleOrder: C
+Aggregate old orders: (id=1,item=A);(id=2,item=B)
+Aggregate new order: (id=3,item=C)
+BuildCombinedResponse: (id=1,item=A);(id=2,item=B);(id=3,item=C)
+Response to caller: Response[(id=1,item=A);(id=2,item=B);(id=3,item=C)]
+--------------------------------------------------------
+
+### Stop processing in case of exception
+*Available as of Camel 2.1*
+
+The Splitter will by default continue to process the entire Exchange even in 
case of one of the splitted message will thrown an exception during routing.
+
+For example if you have an Exchange with 1000 rows that you split and route 
each sub message. During processing of these sub messages an exception is 
thrown at the 17th. What Camel does by default is to process the remainder 983 
messages. You have the chance to remedy or handle this in the 
`AggregationStrategy`.
+
+But sometimes you just want Camel to stop and let the exception be propagated 
back, and let the Camel error handler handle it. You can do this in Camel 2.1 
by specifying that it should stop in case of an exception occurred. This is 
done by the `stopOnException` option as shown below:
+
+[source,java]
+--------------------------------------------------------
+from("direct:start")
+    .split(body().tokenize(",")).stopOnException()
+        .process(new MyProcessor())
+        .to("mock:split");
+--------------------------------------------------------
+
+And using XML DSL you specify it as follows:
+[source,xml]
+--------------------------------------------------------
+<route>
+    <from uri="direct:start"/>
+    <split stopOnException="true">
+        <tokenize token=","/>
+        <process ref="myProcessor"/>
+        <to uri="mock:split"/>
+    </split>
+</route>
+--------------------------------------------------------
+
+### Using onPrepare to execute custom logic when preparing messages
+*Available as of Camel 2.8*
+See details at Multicast
+
+### Sharing unit of work
+*Available as of Camel 2.8*
+The Splitter will by default not share unit of work between the parent 
exchange and each splitted exchange. This means each sub exchange has its own 
individual unit of work.
+For example you may have an use case, where you want to split a big message. 
And you want to regard that process as an atomic isolated operation that either 
is a success or failure. In case of a failure you want that big message to be 
moved into a dead letter queue. To support this use case, you would have to 
share the unit of work on the Splitter.
+
+Here is an example in Java DSL
+[source,java]
+--------------------------------------------------------
+errorHandler(deadLetterChannel("mock:dead").useOriginalMessage()
+        .maximumRedeliveries(3).redeliveryDelay(0));
+
+from("direct:start")
+    .to("mock:a")
+    // share unit of work in the splitter, which tells Camel to propagate 
failures from
+    // processing the splitted messages back to the result of the splitter, 
which allows
+    // it to act as a combined unit of work
+    .split(body().tokenize(",")).shareUnitOfWork()
+        .to("mock:b")
+        .to("direct:line")
+    .end()
+    .to("mock:result");
+
+from("direct:line")
+    .to("log:line")
+    .process(new MyProcessor())
+    .to("mock:line");
+--------------------------------------------------------
+
+Now in this example what would happen is that in case there is a problem 
processing each sub message, the error handler will kick in (yes error handling 
still applies for the sub messages). *But* what doesn't happen is that if a sub 
message fails all redelivery attempts (its exhausted), then its *not* moved 
into that dead letter queue. The reason is that we have shared the unit of 
work, so the sub message will report the error on the shared unit of work. When 
the Splitter is done, it checks the state of the shared unit of work and checks 
if any errors occurred. And if an error occurred it will set the exception on 
the Exchange and mark it for rollback. The error handler will yet again kick 
in, as the Exchange has been marked as rollback and it had an exception as 
well. No redelivery attempts is performed (as it was marked for rollback) and 
the Exchange will be moved into the dead letter queue.
+
+Using this from XML DSL is just as easy as you just have to set the 
shareUnitOfWork attribute to true:
+
+[source,xml]
+--------------------------------------------------------
+<camelContext errorHandlerRef="dlc" 
xmlns="http://camel.apache.org/schema/spring";>
+
+  <!-- define error handler as DLC, with use original message enabled -->
+  <errorHandler id="dlc" type="DeadLetterChannel" deadLetterUri="mock:dead" 
useOriginalMessage="true">
+    <redeliveryPolicy maximumRedeliveries="3" redeliveryDelay="0"/>
+  </errorHandler>
+
+  <route>
+    <from uri="direct:start"/>
+    <to uri="mock:a"/>
+    <!-- share unit of work in the splitter, which tells Camel to propagate 
failures from
+         processing the splitted messages back to the result of the splitter, 
which allows
+         it to act as a combined unit of work -->
+    <split shareUnitOfWork="true">
+      <tokenize token=","/>
+      <to uri="mock:b"/>
+      <to uri="direct:line"/>
+    </split>
+    <to uri="mock:result"/>
+  </route>
+
+  <!-- route for processing each splitted line -->
+  <route>
+    <from uri="direct:line"/>
+    <to uri="log:line"/>
+    <process ref="myProcessor"/>
+    <to uri="mock:line"/>
+  </route>
+
+</camelContext>
+--------------------------------------------------------
+
+[NOTE]
+.Implementation of shared unit of work
+====
+So in reality the unit of work is not shared as a single object instance. 
Instead `SubUnitOfWork` is attached to their parent, and issues callback to the 
parent about their status (commit or rollback). This may be refactored in Camel 
3.0 where larger API changes can be done.
+====
+
+### Using This Pattern
+If you would like to use this EIP Pattern then please read the Getting 
Started, you may also find the Architecture useful particularly the description 
of Endpoint and URIs. Then you could try out some of the Examples first before 
trying this pattern out.

http://git-wip-us.apache.org/repos/asf/camel/blob/927244de/camel-core/src/main/docs/eips/throttle-eip.adoc
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diff --git a/camel-core/src/main/docs/eips/throttle-eip.adoc 
b/camel-core/src/main/docs/eips/throttle-eip.adoc
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+## Throttle EIP
+The Throttler Pattern allows you to ensure that a specific endpoint does not 
get overloaded, or that we don't exceed an agreed SLA with some external 
service.
+
+### Options
+
+// eip options: START
+The Throttle EIP supports 5 options which are listed below:
+
+{% raw %}
+[width="100%",cols="3,1m,6",options="header"]
+|=======================================================================
+| Name | Java Type | Description
+| executorServiceRef | String | Sets the ExecutorService which could be used 
by throttle definition
+| timePeriodMillis | Long | Sets the time period during which the maximum 
request count is valid for
+| asyncDelayed | Boolean | Enables asynchronous delay which means the thread 
will not block while delaying.
+| callerRunsWhenRejected | Boolean | Whether or not the caller should run the 
task when it was rejected by the thread pool. Is by default true
+| rejectExecution | Boolean | Whether or not throttler throws the 
ThrottlerRejectedExecutionException when the exchange exceeds the request limit 
Is by default false
+|=======================================================================
+{% endraw %}
+// eip options: END
+
+### Examples
+#### Using the Fluent Builders
+
+[source,java]
+---------------------
+from("seda:a").throttle(3).timePeriodMillis(10000).to("log:result", 
"mock:result");
+---------------------
+
+So the above example will throttle messages all messages received on *seda:a* 
before being sent to *mock:result* ensuring that a maximum of 3 messages are 
sent in any 10 second window.
+Note that since `timePeriodMillis` defaults to 1000 milliseconds, just setting 
the `maximumRequestsPerPeriod` has the effect of setting the maximum number of 
requests per second. So to throttle requests at 100 requests per second between 
two endpoints, it would look more like this...
+
+[source,java]
+---------------------
+from("seda:a").throttle(100).to("seda:b");
+---------------------
+
+For further examples of this pattern in use you could look at the junit test 
case.
+
+#### Using the Spring XML Extensions
+##### Camel 2.7.x or older
+[source,xml]
+---------------------
+<route>
+  <from uri="seda:a" />
+  <throttle maximumRequestsPerPeriod="3" timePeriodMillis="10000">
+    <to uri="mock:result" />
+  </throttle>
+</route>
+---------------------
+
+##### Camel 2.8 onwards
+In Camel 2.8 onwards you must set the maximum period as an Expression as shown 
below where we use a Constant expression:
+[source,xml]
+---------------------
+<route>
+  <from uri="seda:a"/>
+  <!-- throttle 3 messages per 10 sec -->
+  <throttle timePeriodMillis="10000">
+    <constant>3</constant>
+    <to uri="log:result"/>
+    <to uri="mock:result"/>
+  </throttle>
+</route>
+---------------------
+
+### Dynamically changing maximum requests per period
+*Available as of Camel 2.8*
+
+Since we use an Expression you can adjust this value at runtime, for example 
you can provide a header with the value. At runtime Camel evaluates the 
expression and converts the result to a `java.lang.Long` type. In the example 
below we use a header from the message to determine the maximum requests per 
period. If the header is absent, then the Throttler uses the old value. So that 
allows you to only provide a header if the value is to be changed:
+[source,xml]
+---------------------
+<route>
+  <from uri="direct:expressionHeader"/>
+  <throttle timePeriodMillis="500">
+    <!-- use a header to determine how many messages to throttle per 0.5 sec 
-->
+    <header>throttleValue</header>
+    <to uri="log:result"/>
+    <to uri="mock:result"/>
+  </throttle>
+</route>
+---------------------
+
+### Asynchronous delaying
+*Available as of Camel 2.4*
+
+You can let the Throttler use non blocking asynchronous delaying, which means 
Camel will use a scheduler to schedule a task to be executed in the future. The 
task will then continue routing. This allows the caller thread to not block and 
be able to service other messages, etc.
+
+[source,java]
+---------------------
+from("seda:a").throttle(100).asyncDelayed().to("seda:b");
+---------------------
+
+### Using This Pattern
+If you would like to use this EIP Pattern then please read the Getting 
Started, you may also find the Architecture useful particularly the description 
of Endpoint and URIs. Then you could try out some of the Examples first before 
trying this pattern out.

http://git-wip-us.apache.org/repos/asf/camel/blob/927244de/camel-core/src/main/docs/eips/validate-eip.adoc
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diff --git a/camel-core/src/main/docs/eips/validate-eip.adoc 
b/camel-core/src/main/docs/eips/validate-eip.adoc
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+## Validate EIP
+*Available as of Camel 2.3* +
+Validate uses an expression or predicates to validate the contents of a 
message. It is useful for ensuring that messages are valid before attempting to 
process them. +
+You can use the validate DSL with all kind of Predicates and Expressions. 
Validate evaluates the Predicate/Expression and if it is false a 
`PredicateValidationException` is thrown. If it is true message processing 
continues.
+
+### Options
+
+// eip options: START
+The Validate EIP supports 0 options which are listed below:
+
+{% raw %}
+[width="100%",cols="3,1m,6",options="header"]
+|=======================================================================
+| Name | Java Type | Description
+|=======================================================================
+{% endraw %}
+// eip options: END
+
+### Using from Java DSL
+The route below will read the file contents and validate them against a 
regular expression.
+
+[source,java]
+---------------------
+from("file://inbox")
+  .validate(body(String.class).regex("^\\w{10}\\,\\d{2}\\,\\w{24}$"))
+.to("bean:MyServiceBean.processLine");
+---------------------
+
+Validate is not limited to the message body. You can also validate the message 
header.
+
+[source,java]
+---------------------
+from("file://inbox")
+  .validate(header("bar").isGreaterThan(100))
+.to("bean:MyServiceBean.processLine");
+---------------------
+
+You can also use validate together with simple.
+
+[source,java]
+---------------------
+from("file://inbox")
+  .validate(simple("${in.header.bar} == 100"))
+.to("bean:MyServiceBean.processLine");
+---------------------
+
+### Using from Spring DSL
+To use validate in the Spring DSL, the easiest way is to use simple 
expressions.
+[source,xml]
+---------------------
+<route>
+  <from uri="file://inbox"/>
+  <validate>
+    <simple>${body} regex ^\\w{10}\\,\\d{2}\\,\\w{24}$</simple>
+  </validate>
+  <beanRef ref="myServiceBean" method="processLine"/>
+</route>
+
+<bean id="myServiceBean" class="com.mycompany.MyServiceBean"/>
+---------------------
+
+The XML DSL to validate the message header would looks like this:
+[source,xml]
+---------------------
+<route>
+  <from uri="file://inbox"/>
+  <validate>
+    <simple>${in.header.bar} == 100</simple>
+  </validate>
+  <beanRef ref="myServiceBean" method="processLine"/>
+</route>
+
+<bean id="myServiceBean" class="com.mycompany.MyServiceBean"/>
+---------------------
+
+### Using This Pattern
+If you would like to use this EIP Pattern then please read the Getting 
Started, you may also find the Architecture useful particularly the description 
of Endpoint and URIs. Then you could try out some of the Examples first before 
trying this pattern out.

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