Operations

GigaSpaces and XAP Skyline A highly customizable developer platform that allows building scalable HA with high throughput and ultra-low latency Java applications running on Kubernetes clusters provide a simple Space Where GigaSpaces data is stored. It is the logical cache that holds data objects in memory and might also hold them in layered in tiering. Data is hosted from multiple SoRs, consolidated as a unified data model. API using the GigaSpace interface for interacting with the Space.

The interface includes the following main operations:

Simpler API

The GigaSpace interface provides a simpler Space API by utilizing Java 5 generics, and allowing sensible defaults. Here are some examples of the Space operations as defined within GigaSpace:

public interface GigaSpace {
    <T> LeaseContext<T> write(T entry) throws DataAccessException;
    // ....
    <T> T read(ISpaceQuery<T> query, Object id)throws DataAccessException;
    // ......
    <T> T take(T template) throws DataAccessException;
    <T> T take(T template, long timeout) throws DataAccessException;
    // ......
}

In the example above, the take operation can be performed without specifying a timeout. The default take timeout is 0 (no wait), and can be overridden when configuring the GigaSpace factory. In a similar manner, the read timeout and write lease can be specified.

The Write Operation

In order to write objects to the Space, use the write method of the GigaSpace interface. The write method is used to write objects if these are introduced for the first time, or to update them if they already exist in the Space. In order to override the default semantics, use the overloaded write methods that accept update modifiers such as WriteModifiers.UPDATE_ONLY.

POJO Example

The following example writes an Employee object to the Space:

    GigaSpace space = ....

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    LeaseContext<Employee> lc = space.write(employee);

SpaceDocument Example

Here is an example how you create a SpaceDocument, register it with the Space, and then write it to the Space:

     // Create the document
     DocumentProperties properties = new DocumentProperties()
       .setProperty("CatalogNumber", "av-9876")
       .setProperty("Category", "Aviation")
       .setProperty("Name", "Jet Propelled Pogo Stick")
       .setProperty("Price", 19.99f)
       .setProperty("Tags",
            new String[] { "New", "Cool", "Pogo", "Jet" })
       .setProperty("Features",
            new DocumentProperties()
              .setProperty("Manufacturer", "Acme")
              .setProperty("RequiresAssembly", true)
              .setProperty("NumberOfParts", 42));

     SpaceDocument doc = new SpaceDocument("Product", properties);

     // Register the document
     // Create type descriptor:
     SpaceTypeDescriptor typeDescriptor = new SpaceTypeDescriptorBuilder(
        "Product").idProperty("CatalogNumber")
        .routingProperty("Category")
        .addPropertyIndex("Name", SpaceIndexType.EQUAL)
        .addPropertyIndex("Price", SpaceIndexType.ORDERED).create();
     // Register type:
     space.getTypeManager().registerTypeDescriptor(typeDescriptor);

    // Write the document into the space
    LeaseContext<SpaceDocument> lc = space.write(document);

Time To Live

To write an object to the Space with a limited time to live, specify a lease value (in milliseconds). The object will expire automatically from the Space when the lease is finished.

   gigaSpace.write(myObject, 10000)

Write Multiple

When writing a batch of objects to the Space, these should be placed into an array to be used by the GigaSpace.writeMultiple operation. The returned array will include the corresponding LeaseContext object.

Example

   Employee emps[] = new Employee[2];
   emps[0] = new Employee("Last Name A", new Integer(10));
   emps[1] = new Employee("Last Name B", new Integer(20));
   try {
    LeaseContext[] leaseContexts = space.writeMultiple(emps);
    for (int i = 0;i<leaseContexts.length ; i++) {
        System.out.println ("Object UID " + leaseContexts[i].getUID() + " inserted into the space");
    }
   } catch (WriteMultipleException e) {
    IWriteResult[] writeResult = e.getResults();
    for (int i = 0;i< writeResult.length ; i++) {
        System.out.println ("Problem with Object UID " + writeResult ");
    }
  }

Here are a few important considerations when using the batch operation:

• Should be performed with transactions - this allows the client to roll back the Space to its initial state prior to when the operation was started, in case of a failure.
• Make sure null values are not part of the passed array.

• Exception handling - the operation many throw the following exceptions:

  • WriteMultiplePartialFailureException
  • WriteMultipleException

Duplicate Entries in Write Multiple

Duplicate entries (with the same ID) are not allowed when using the WRITE_ONLY write modifier. This is because the identity of the object is determined based on its ID and not based on its reference.
This is extremely important with an embedded Space, because writeMultiple injects the ID value into the object after the write operation (when autogenerate=false).

Return Previous Value

When updating an object that already exists in the Space, in some scenarios it is useful to get the previous value of the object (before the update). This previous value is returned in result LeaseContext.getObject() when using the RETURN_PREV_ON_UPDATE modifier.

  LeaseContext<MyData> lc = space.write(myobject,WriteModifiers.RETURN_PREV_ON_UPDATE.add(WriteModifiers.UPDATE_OR_WRITE));
  MyData previousValue = lc.getObject();

Asynchronous Write

An asynchronous write operation can be implemented using a Task, where the Task implementation include a write operation. With this approach the Task is sent to the space and executed in an asynchronous manner. The write operation itself will be completed when both the primary and the backup acknowledge the operation. This activity is performed as a background activity from the client perspective.

Example

  GigaSpace space = new GigaSpaceConfigurer (new SpaceProxyConfigurer("space"))).gigaSpace();
  MyClass obj = new MyClass(1,"AAA");
  space.write(obj,WriteModifiers.ONE_WAY);

Method summary

Writes a new object to the Space, returning its LeaseContext.

<T> LeaseContext<T> write(T entry) throws DataAccessException
<T> LeaseContext<T> write(T entry, long lease, long timeout, WriteModifiers modifiers) throws DataAccessException
......

Writes new objects to the Space, returning its LeaseContexts.Java API

<T> LeaseContext<T>[] writeMultiple(T[] entries) throws DataAccessException
<T> LeaseContext<T>[] writeMultiple(T[] entries, long[] leases, WriteModifiers modifiers) throws DataAccessException
......

Modifiers

The write operations can be configured with different modifiers:

Modifier and Type	Description	default
T	POJO Plain Old Java Object. A regular Java object with no special restrictions other than those forced by the Java Language Specification and does not require any classpath., SpaceDocument
lease	Time to live	Lease.FOREVER
timeout	The timeout of an update operation, in milliseconds. If the entry is locked by another transaction, wait for the specified number of milliseconds for it to be released.	0
WriteModifiers	Provides modifiers to customize the behavior of write operations	UPDATE_OR_WRITE
LeaseContext	LeaseContext is a return-value encapsulation of a write operation.

The Change Operation

The GigaSpace.change and the ChangeSet allows updating existing objects in a Space, by specifying only the required change instead of passing the entire updated object. This reduces the required network traffic between the client and the Space, and the network traffic generated from replicating the changes between the Space instances (e.g between the primary Space instance and its backup).

Example

The following example demonstrates how to update the property "firstName' of an object of type "Person' with id "myID'.

GigaSpace space = // ... obtain a space reference
String id = "myID";
IdQuery<WordCount> idQuery = new IdQuery<Person>(Person.class, id, routing The mechanism that is in charge of routing the objects into and out of the corresponding partitions. The routing is based on a designated attribute inside the objects that are written to the Space, called the Routing Index.);
space.change(idQuery, new ChangeSet().set("firstName", "John"));

The Read Operation

Read operations query the Space for an object that matches the criteria provided. If a match is found, a copy of the matching object is returned. If no match is found, null is returned. Passing a null reference as the template will match any object.

Any matching object can be returned. Successive read requests with the same template may or may not return equivalent objects, even if no intervening modifications have been made to the Space.

Each invocation of read may return a new object even if the same object is matched in the Space.

If you want to read objects in the same order that they were written to the Space, perform the read objects in FIFO mode.

The read operation can be performed with the following options:

• Template matching
• By ID
• By IdQuery
• By SQLQuery

To learn more about the different options, refer to Querying the Space

Example

The following example writes an Employee object to the Space and reads it back from the Space:

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    // Read by template
    Employee template = new Employee(new Integer(32));
    Employee e = space.read(template);

    // Read by id
    Employee e = space.readById(Employee.class, new Integer(32));

    // Read by IdQuery
    IdQuery<Employee> query = new IdQuery<Employee>(Employee.class,
                    new Integer(32));
    Employee e = space.read(query);

    // Read by SQLQuery
    SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,
                "firstName='first name'");
    Employee e = space.read(query);

Read Multiple

The GigaSpace interface provides simple way to perform bulk read operations. You can read a large amount of objects in one call.

Example

   Employee emps[] = new Employee[2];
   emps[0] = new Employee("Last Name A", new Integer(31));
   emps[1] = new Employee("Last Name B", new Integer(32));

   space.writeMultiple(emps);

   // Read multiple by template
   Employee[] employees = space.readMultiple(new Employee());

   // Read multiple by SQLQuery
   SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,"lastName ='Last Name B'");
   Employee[] e = space.readMultiple(query);

   // Read by Ids
   Integer[] ids = new Integer[] { 31, 32 };
   ReadByIdsResult<Employee> result = space.readByIds(Employee.class,ids);
   Employee[] employees = result.getResultsArray();

   // Read by IdsQuery
   Integer[] ids = new Integer[] { 31, 32 };
   IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
   ReadByIdsResult<Employee> result = space.readByIds(query);
   Employee[] employees = result.getResultsArray();

Here are a few important considerations when using the batch operation:

• Boosts the performance, because it perform multiple operations using one call. These methods return the matching results in one result object back to the client. This allows the client and server to utilize the network bandwidth in an efficient manner. In some cases, these batch operations can be up to 10 times faster than multiple single-based operations.
• Should be handled with care, because they can return a large data set (potentially all the Space data). This can cause an out of memory error in the Space and client process. Use the Space Iterator to return the result in batches (paging) in such cases.
• Does not support timeout operations. The simple way to achieve this is by calling the read operation first with the proper timeout, and if non-null values are returned, perform the batch operation.
• Exception handling - operation may throw the following exceptions: ReadMultipleException

ReadIfExists

A readIfExists operation will return a matching object, or a null if there is currently no matching object in the Space.

If the only possible matches for the template have conflicting locks from one or more other transactions, the timeout value specifies how long the client is willing to wait for interfering transactions to settle before returning a value. If at the end of that time no value can be returned that would not interfere with transactional state, null is returned. Due to the remote nature of the Space, read and readIfExists may throw a RemoteException if the network or server fails prior to the timeout expiration.

Example

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,"firstName='first name'");
    Employee e = space.readIfExists(query);

Asynchronous Read

The GigaSpace interface supports asynchronous (non-blocking) read operations through the GigaSpace interface. It returns a Future<T> object, where T is the type of the object the request returns. Future<T>.get() can be used to query the object to see if a result has been returned or not.

Alternatively, asyncRead also accept an implementation of AsyncFutureListener, which will have its AsyncFutureListener.onResult method called when the result has been populated. This does not affect the return type of the Future<T>, but provides an additional mechanism for handling the asynchronous response.

Example

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    Integer[] ids = new Integer[] { 31, 32 };
    IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
    AsyncFuture<Employee> result = space.asyncRead(query);

    // This part of the code could be executed in a different Thread
    try {
        Employee e = result.get();
    } catch (InterruptedException e) {
        e.printStackTrace();
    } catch (ExecutionException e) {
        e.printStackTrace();
    }

Passing an AsyncFutureListener with Java 8 Lambda Syntax

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    Integer[] ids = new Integer[] { 31, 32 };
    IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
    AsyncFuture<Employee> result = space.asyncRead(query, (result) -> {
        System.out.println("Got a result: " + result.getResult());
    });

    // This part of the code could be executed in a different Thread
    try {
        Employee e = result.get();
    } catch (InterruptedException e) {
        e.printStackTrace();
    } catch (ExecutionException e) {
        e.printStackTrace();
    }

Modifiers

The read operations can be configured with different modifiers.

Example

    Employee template = new Employee();

    // Read objects in a FIFO FIFO is an acronym for first in, first out, a method for organizing the manipulation of a data structure where the oldest entry, or "head" of the queue, is processed first. mode
    Employee e = space.read(template, 0, ReadModifiers.FIFO);

    // Dirty read
    Employee e = space.read(template, 0, ReadModifiers.DIRTY_READ);

<T> T read(T template) throws DataAccessException
<T> T read(T template, long timeout, ReadModifiers modifiers)throws DataAccessException
.....

<T> T readById(Class<T> clazz, Object id) throws DataAccessException
<T> T readById(Class<T> clazz, Object id, Object routing, long timeout, ReadModifiers modifiers)throws DataAccessException
.....

<T> T read(ISpaceQuery<T> query, Object id)throws DataAccessException
<T> T read(ISpaceQuery<T> query, Object routing, long timeout, ReadModifiers modifiers)throws DataAccessException
....

<T> T[] readMultiple(ISpaceQuery<T> query) throws DataAccessException
<T> T[] readMultiple(ISpaceQuery<T> query, long timeout, ReadModifiers modifiers) throws DataAccessException
<T> T[] readMultiple(T template) throws DataAccessException
<T> T[] readMultiple(T template, long timeout, ReadModifiers modifiers) throws DataAccessException
<T> T[] readMultiple(ISpaceQuery<T> template, int maxEntries, ReadModifiers modifiers) throws DataAccessException
...

<T> AsyncFuture<T> asyncRead(T template) throws DataAccessException
<T> AsyncFuture<T> asyncRead(T template, long timeout, ReadModifiers modifiers, AsyncFutureListener<T> listener) throws DataAccessException
<T> AsyncFuture<T> asyncRead(ISpaceQuery<T> query)throws DataAccessException
<T> AsyncFuture<T> asyncRead(ISpaceQuery<T> query, long timeout, ReadModifiers modifiers, AsyncFutureListener<T> listener)throws DataAccessException
.....

<T> T readIfExists(T template)throws DataAccessException
<T> T readIfExistsById(Class<T> clazz, Object id)throws DataAccessException
<T> T readIfExistsById(Class<T> clazz, Object id, Object routing, long timeout, ReadModifiers modifiers) throws DataAccessException
<T> T readIfExistsById(IdQuery<T> query, long timeout, ReadModifiers modifiers) throws DataAccessException
....

The Take Operation

The take operations behave exactly like the corresponding read operations, except that the matching object is removed from the Space on one atomic operation. Two take operations will never return copies of the same object, although if two equivalent objects were in the Space, the two take operations could return equivalent objects.

If a take returns a non-null value, then the object has been removed from the Space, possibly within a transaction. This modifies the claims to once-only retrieval; a take is considered to be successful only if all enclosing transactions commit successfully.

If a RemoteException is thrown, the take may or may not have been successful.

If an UnusableEntryException is thrown, the take removed the unusable object from the Space.

If any other exception is thrown, the take did not occur, and no object was removed from the Space.

The take operation can be performed with the following options:

• Template matching
• By ID
• By IdQuery
• By SQLQuery

Example

The following example writes an Employee object to the Space and removes it from the Space:

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    // Take by template
    Employee template = new Employee(new Integer(32));
    Employee e = space.take(template);

    // Take by id
    Employee e = space.takeById(Employee.class, new Integer(32));

    // Take by IdQuery
    IdQuery<Employee> query = new IdQuery<Employee>(Employee.class,
                    new Integer(32));
    Employee e = space.take(query);

    // Take by SQLQuery
    SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,
                "firstName='first name'");
    Employee e = space.take(query);

Take Multiple

The GigaSpace interface provides simple way to perform bulk take operations. You may take large amount of objects in one call.

Example

   Employee emps[] = new Employee[2];
   emps[0] = new Employee("Last Name A", new Integer(31));
   emps[1] = new Employee("Last Name B", new Integer(32));

   space.writeMultiple(emps);

   // Take multiple by template
   Employee[] employees = space.takeMultiple(Employee.class);

   // Take multiple by SQLQuery
   SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,
                "lastName ='Last Name B'");
   Employee[] e = space.takeMultiple(query);

   // Take by Ids
   Integer[] ids = new Integer[] { 31, 32 };
   TakeByIdsResult<Employee> result = space.takeByIds(Employee.class,ids);
   Employee[] employees = result.getResultsArray();

   // Take by IdsQuery
   Integer[] ids = new Integer[] { 31, 32 };
   IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
   TakeByIdsResult<Employee> result = space.takeByIds(query);
   Employee[] employees = result.getResultsArray();

Here are a few important considerations when using the batch operation:

• Boosts the performance, because it performs multiple operations using one call. This method returns the matching results in one result object back to the client. This allows the client and server to utilize the network bandwidth in an efficient manner. In some cases, this batch operation can be up to 10 times faster than multiple single-based operations.
• Should be handled with care, because it can return a large data set (potentially all the Space data). This can cause an out of memory error in the Space and client processes. Use the Space Iterator to return the result in batches (paging) in such cases.
• Should be performed with transactions. This allows the client to roll back the Space to its initial state prior to when the operation was started, in case of a failure.
• Operation does not support timeout operations. The simple way to achieve this is by calling the read operation first with the proper timeout, and if non-null values are returned, perform the batch operation.
• In the event of a take error, DataAccessException will wrap a TakeMultipleException, accessible via DataAccessException.getRootCause().

TakeIfExists

A takeIfExists operation will return a matching object, or a null if there is currently no matching object in the Space.

If the only possible matches for the template have conflicting locks from one or more other transactions, the timeout value specifies how long the client is willing to wait for interfering transactions to settle before returning a value. If at the end of that time no value can be returned that would not interfere with transactional state, null is returned.

Example

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,
                "firstName='first name'");
    Employee e = space.takeIfExists(query);

Asynchronous Take

The GigaSpace interface supports asynchronous (non-blocking) take operations through the GigaSpace interface. It returns a Future<T> object, where T is the type of the object the request returns. Future<T>.get() can be used to query the object to see if a result has been returned or not.

Alternatively, asyncTake also accept an implementation of AsyncFutureListener, which will have its AsyncFutureListener.onResult method called when the result has been populated. This does not affect the return type of the Future<T>, but provides an additional mechanism for handling the asynchronous response.

Example

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    Integer[] ids = new Integer[] { 31, 32 };
    IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
    AsyncFuture<Employee> result = space.asyncTake(query);

    try {
        Employee e = result.get();
    } catch (InterruptedException e) {
        e.printStackTrace();
    } catch (ExecutionException e) {
        e.printStackTrace();
    }

Passing an AsyncFutureListener with Java 8 Lambda Syntax

    Employee employee = new Employee("Last Name", new Integer(32));
    employee.setFirstName("first name");
    space.write(employee);

    Integer[] ids = new Integer[] { 31, 32 };
    IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
    AsyncFuture<Employee> result = space.asyncTake(query, (result) -> {
        System.out.println("Got result: " + result.getResult());
    });

    try {
        Employee e = result.get();
    } catch (InterruptedException e) {
        e.printStackTrace();
    } catch (ExecutionException e) {
        e.printStackTrace();
    }

Modifiers

The take operations can be configured with different modifiers.

Examples

    Employee template = new Employee();

    // Takes objects in a FIFO mode
    Employee e = space.take(template, 0, TakeModifiers.FIFO);

    // Takes objects according to FIFO group
    Employee e = space.take(template, 0, TakeModifiers.FIFO_GROUPING_POLL);

For further details about each of the available modifiers, see TakeModifiers.

<T> T take(T template) throws DataAccessException
<T> T take(T template, long timeout, TakeModifiers modifiers)throws DataAccessException
.....

<T> T takeById(Class<T> clazz, Object id) throws DataAccessException
<T> T takeById(Class<T> clazz, Object id, Object routing, long timeout, TakeModifiers modifiers)throws DataAccessException
.....

<T> T take(ISpaceQuery<T> query, Object id)throws DataAccessException
<T> T take(ISpaceQuery<T> query, Object routing, long timeout, TakeModifiers modifiers)throws DataAccessException
....

<T> T[] takeMultiple(ISpaceQuery<T> query) throws DataAccessException
<T> T[] takeMultiple(ISpaceQuery<T> query, long timeout, TakeModifiers modifiers) throws DataAccessException
<T> T[] takeMultiple(T template) throws DataAccessException
<T> T[] takeMultiple(T template, long timeout, TakeModifiers modifiers) throws DataAccessException
<T> T[] takeMultiple(ISpaceQuery<T> template, int maxEntries, TakeModifiers modifiers) throws DataAccessException
...

<T> AsyncFuture<T> asyncTake(T template) throws DataAccessException
<T> AsyncFuture<T> asyncTake(T template, long timeout, TakeModifiers modifiers, AsyncFutureListener<T> listener) throws DataAccessException
<T> AsyncFuture<T> asyncTake(ISpaceQuery<T> query)throws DataAccessException
<T> AsyncFuture<T> asyncTake(ISpaceQuery<T> query, long timeout, TakeModifiers modifiers, AsyncFutureListener<T> listener)throws DataAccessException
.....

<T> T takeIfExists(T template)throws DataAccessException
<T> T takeIfExistsById(Class<T> clazz, Object id)throws DataAccessException
<T> T takeIfExistsById(Class<T> clazz, Object id, Object routing, long timeout, TakeModifiers modifiers) throws DataAccessException
<T> T takeIfExistsById(IdQuery<T> query, long timeout, TakeModifiers modifiers) throws DataAccessException
....

The Clear Operation

You can use GigaSpace.clear to remove objects from the Space. When using the clear operation, no object/objects are returned.

Examples

   GigaSpace space;

   // Clear by Template
   Employee employee = new Employee("Last Name", new Integer(32));
   space.clear(employee);

   // Clear by SQLQuery
   String querystr  = "age > 30";
   SQLQuery query = new SQLQuery(Employee.class, querystr);
   space.clear(query);

   // Clear by IdQuery
   IdQuery<Employee> query = new IdQuery<Employee>(Employee.class,new Integer(32));
   space.clear(query);

   // Clear with Modifier
   SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,"firstName='first name'");
   space.clear(query, ClearModifiers.EVICT_ONLY);

void clear(T entry) throws DataAccessException
void clear(T entry, ClearModifiers modifiers) throws DataAccessException
void clear(ISpaceQuery<T> query) throws DataAccessException
......

Modifiers

The Count Operation

You can use GigaSpace.count to count objects in a Space.

Examples

   GigaSpace space;

   // Count with Template
   Employee employee = new Employee("Last Name");
   int count = space.count(employee);

   // Count with SQLQuery
   String querystr  = "age > 30";
   SQLQuery query = new SQLQuery(Employee.class, querystr);
   int count = space.count(query);

   // Count with IdsQuery
   Integer[] ids = new Integer[] { 32, 33, 34 };
   IdsQuery<Employee> query = new IdsQuery<Employee>(Employee.class, ids);
   int count = space.count(query);

   // Count with Modifier
   SQLQuery<Employee> query = new SQLQuery<Employee>(Employee.class,"firstName='first name'");
   int count = space.count(query, CountModifiers.EXCLUSIVE_READ_LOCK);

int count(T entry) throws DataAccessException
int count(T entry, ClearModifiers modifiers) throws DataAccessException
int count(ISpaceQuery<T> query) throws DataAccessException
......

Modifiers

Counters

The ISpaceProxy.Change API allows you to increment or decrement an Numerical field within your Space object or Document. This change may operate on a numeric property only (byte, short, int, long, float, double) or their corresponding Boxed variation. To maintain a counter, use the Change operation with the ChangeSet increment/decrement method that adds/subtract the provided numeric value to the existing counter.

Example

Incrementing a Counter done using the ChangeSet().Increment call:

GigaSpace space = // ... obtain a space reference
String id = "myID";
IdQuery<WordCount> idQuery = new IdQuery<WordCount>(WordCount.class, id);
space.change(idQuery, new ChangeSet().increment("mycounter", 1));

Getting the Counter value via the read call:

GigaSpace space = // ... obtain a space reference
String id = "myID";
IdQuery<WordCount> idQuery = new IdQuery<WordCount>(WordCount.class, id);
WordCount wordount = space.readById(WordCount.class , idQuery);
int counterValue = wordount.getMycounter();

Aggregators

There is no need to retrieve the entire data set from the Space to the client side, iterate the result set and perform the aggregation. This would be an expensive activity as it might return large amounts of data to the client application. The Aggregators allow you to perform the entire aggregation activity on the Space side, avoiding any data retrieval back to the client side.

Example

import static org.openspaces.extensions.QueryExtension.*;
...
SQLQuery<Person> personSQLQuery = new SQLQuery<Person>();
// retrieve the maximum value stored in the field "age"
Number maxAgeInSpace = maxValue(space, personSQLQuery, "age");
/// retrieve the minimum value stored in the field "age"
Number minAgeInSpace = minValue(space, personSQLQuery, "age");
// Sum the "age" field on all space objects.
Number combinedAgeInSpace = sum(space, personSQLQuery, "age");
// Sum's the "age" field on all space objects then divides by the number of space objects.
Double averageAge = average(space, personSQLQuery, "age");
// Retrieve the space object with the highest value for the field "age".
Person oldestPersonInSpace = maxEntry(space, personSQLQuery, "age");
/// Retrieve the space object with the lowest value for the field "age".
Person youngestPersonInSpace = minEntry(space, personSQLQuery, "age");

@SpaceClass
public class Person {
    private Long id;
    private Long age;
    private String country;

    @SpaceId(autoGenerate=false)
    public Long getId() {
        return id;
    }

    public Person setId(Long id) {
        this.id = id;
        return this;
    }

    public Long getAge() {
        return age;
    }

    public Person setAge(Long age) {
        this.age = age;
        return this;
    }

    @SpaceIndex
    public String getCountry() {
        return country;
    }

    public Person setCountry(String country) {
        this.country = country;
        return this;
    }
}

Async Extension

When running with Java 8, it is possible to have an even simpler Space API with the AsyncExtension. AsyncExtension substituts the Space AsyncFuture with the Java 8 CompletableFuture and thus can make the code more fluent.

There is no need to retrieve the entire data set from the Space to the client side iterate the result set and perform the aggregation. This would be an expensive activity as it might return a large amount of data to the client application. The Aggregators allow you to perform the entire aggregation activity on the Space side, avoiding any data retrieval back to the client side.

Example

import static org.openspaces.extensions.AsyncExtension.asyncRead;

asyncRead(gigaSpace, template).thenAccept(value -> {
    System.out.println("got " + value);
})