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com.gemstone.gemfire.cache.execute package
The com.gemstone.gemfire.cache.execute package provides APIs used
for function execution on gemfire system members.
GemFire's Function Execution Service supports execution of user-defined methods on targeted GemFire system members.
The fundamental premise is to route the function transparently to the GemFire system member that hosts the
data subset required by the application function and avoid moving data around on the network.
Application function can be executed on just one fabric node, executed in parallel on a subset
of nodes or in parallel across all the nodes.
The Function Execution Service API is based on the following classes and interfaces which work together
to provide the function execution capability. The API allows execution of functions that are
"data dependent" or "data independent". Data dependent functions are functions that need
access to the local data set, on the targeted member.
- The FunctionService class provides methods to execute functions on targeted GemFire
system members.
- Functions are java classes that implement the {@link com.gemstone.gemfire.cache.execute.Function} interface. Functions
can be registered with the {@linkplain com.gemstone.gemfire.cache.execute.FunctionService Function Execution Service}.
- The application obtains the execution object {@link com.gemstone.gemfire.cache.execute.Execution} and uses its methods to target
execution.
- Calling the execute() method on the Execution object
starts the execution on the targeted Gemfire system
member(s).
- Upon execution on the targeted member(s), a FunctionContext
object is passed into the execute() method. Application developer can
use FunctionContext to get the arguments passed into the execution
of the function and references to the data regions providing access to the
local dataset as well as colocated dataset on the member.
- The Application developer can get ResultSender from FunctionContext
and send the results in parts to ResultCollector. As the result is sent,
it is added to the ResultCollector immediately. By default GemFire returns a ResultCollector,
whose getResult() method blocks until all the results have been obtained from the function
execution. To stop ResultCollector from waiting for more results a last result must be sent.
Example of a "data dependent" execution using the Function Execution Service
Region region;
Set keySet = Collections.singleton("myKey");
Function multiGetFunction;
Object args;
ResultCollector rc = FunctionService.onRegion(region)
.withArgs(args)
.withFilter(keySet)
.withCollector(new MyCustomResultCollector())
.execute(multiGetFunction.getId());
// Application can do something else here before retrieving the result
// It can even get deal with partial results which it will get in
// MyCustomResultCollector.addResult().
Object functionResult = rc.getResult();
Example of a Function execution on a set of regions
Region region1, region2, region3;
Set s = new HashSet();
s.add(region1);
s.add(region2);
s.add(region3);
Function multiGetFunction;
Object args;
ResultCollector rc = FunctionService.onRegions(s)
.withArgs(args)
.withCollector(new MyCustomResultCollector())
.execute(multiGetFunction.getId());
// Application can get the handle of all the regions at the node it is executing on.
// This way it can get the handle of data in an efficient way.
Object functionResult = rc.getResult();
Example of a "data independent" execution using the Function
Execution Service
DistributedSystem ds;
Function memberSetupFunction;
Object args;
ResultCollector rc = FunctionService.onMembers(ds)
.withArgs(args)
.execute(memberSetupFunction.getId());
//Application can do something else here before retrieving the result
Object functionResult = rc.getResult();
Example of a "Function" to be executed which sends result to ResultCollector using ResultSender.
public class MYFunction extends FunctionAdapter {
public void execute(FunctionContext context) {
for(int i =0 ;i< 10; i++)
context.getResultSender().sendResult(i);
context.getResultSender.lastResult(10);
}
public String getId() {
return "MYFunction";
}
public boolean hasResult() {
return true;
}
}
Some scenarios where function execution can be useful:
- Any arbitrary aggregation operation that requires iteration over
local data sets done more efficiently through a single call
to the cache server
- Application wants to execute a server side behaviour.
- Application wants to operate on many regions at a time. Like having function which need data from many regions. This can be
achieved in an efficient way using function service.
- Application wants to initialize some of its components once on
each server which might be used later by executed functions, for example initialization of a 3rd party service.