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----
-title:  Using Automatic Reflection-Based PDX Serialization
----
-
-You can configure your cache to automatically serialize and deserialize domain 
objects without having to add any extra code to them.
-
-<a id="auto_serialization__section_E2B7719D3C1545808CC21E0FDBD2D610"></a>
-You can automatically serialize and deserialize domain objects without coding 
a `PdxSerializer` class. You do this by registering your domain objects with a 
custom `PdxSerializer` called `ReflectionBasedAutoSerializer` that uses Java 
reflection to infer which fields to serialize.
-
-You can also extend the ReflectionBasedAutoSerializer to customize its 
behavior. For example, you could add optimized serialization support for 
BigInteger and BigDecimal types. See [Extending the 
ReflectionBasedAutoSerializer](extending_the_autoserializer.html#concept_9E020566EE794A81A48A90BA798EC279)
 for details.
-
-**Note:**
-Your custom PDX autoserializable classes cannot use the `com.gemstone` 
package. If they do, the classes will be ignored by the PDX auto serializer.
-
-<a id="auto_serialization__section_C69046B44729454F8CD464B0289EFDD8"></a>
-
-**Prerequisites**
-
--   Understand generally how to configure the Geode cache.
--   Understand how PDX serialization works and how to configure your 
application to use `PdxSerializer`.
-
-<a 
id="auto_serialization__section_43F6E45FF69E470897FD9D002FBE896D"><strong>Procedure</strong></a>
-
-In your application where you manage data from the cache, provide the 
following configuration and code as appropriate:
-
-1.  In the domain classes that you wish to autoserialize, make sure each class 
has a zero-arg constructor. For example:
-
-    ``` pre
-    public PortfolioPdx(){}
-    ```
-
-2.  Using one of the following methods, set the PDX serializer to 
`ReflectionBasedAutoSerializer`.
-    1.  In gfsh, execute the following command prior to starting up any 
members that host data:
-
-        ``` pre
-        gfsh>configure pdx --auto-serializable-classes=com\.company\.domain\..*
-        ```
-
-        By using gfsh, this configuration can propagated across the cluster 
through the [Cluster Configuration 
Service](../../configuring/cluster_config/gfsh_persist.html).
-
-    2.  Alternately, in `cache.xml`:
-
-        ``` pre
-        <!-- Cache configuration configuring auto serialization behavior -->
-        <cache>
-          <pdx>
-            <pdx-serializer>
-              <class-name>
-               org.apache.geode.pdx.ReflectionBasedAutoSerializer
-              </class-name>
-              <parameter name="classes">
-              <string>com.company.domain.DomainObject</string>
-             </parameter>
-          </pdx-serializer>
-         </pdx>
-          ...
-        </cache>
-        ```
-
-        The parameter, `classes`, takes a comma-separated list of class 
patterns to define the domain classes to serialize. If your domain object is an 
aggregation of other domain classes, you need to register the domain object and 
each of those domain classes explicitly for the domain object to be serialized 
completely.
-
-    3.  Using the Java API:
-
-        ``` pre
-        Cache c = new CacheFactory()
-          .setPdxSerializer(new 
ReflectionBasedAutoSerializer("com.company.domain.DomainObject"))
-          .create();
-        ```
-
-3.  Customize the behavior of the `ReflectionBasedAutoSerializer` using one of 
the following mechanisms:
-    -   By using a class pattern string to specify the classes to 
auto-serialize and customize how the classes are serialized. Class pattern 
strings can be specified in the API by passing strings to the 
`ReflectionBasedAutoSerializer` constructor or by specifying them in cache.xml. 
See [Customizing Serialization with Class Pattern 
Strings](autoserialization_with_class_pattern_strings.html#concept_9B67BBE94B414B7EA63BD7E8D61D0312)
 for details.
-    -   By creating a subclass of `ReflectionBasedAutoSerializer` and 
overriding specific methods. See [Extending the 
ReflectionBasedAutoSerializer](extending_the_autoserializer.html#concept_9E020566EE794A81A48A90BA798EC279)
 for details.
-
-4.  If desired, configure the `ReflectionBasedAutoSerializer` to check the 
portability of the objects it is passed before it tries to autoserialize them. 
When this flag is set to true, the `ReflectionBasedAutoSerializer` will throw a 
`NonPortableClassException` error when trying to autoserialize a non-portable 
object. To set this, use the following configuration:
-    -   In gfsh, use the following command:
-
-        ``` pre
-        gfsh>configure pdx 
--portable-auto-serializable-classes=com\.company\.domain\..*
-        ```
-
-        By using gfsh, this configuration can propagated across the cluster 
through the [Cluster Configuration 
Service](../../configuring/cluster_config/gfsh_persist.html).
-    -   In cache.xml:
-
-        ``` pre
-        <!-- Cache configuration configuring auto serialization behavior -->
-        <cache>
-          <pdx>
-            <pdx-serializer>
-              <class-name>
-               org.apache.geode.pdx.ReflectionBasedAutoSerializer
-              </class-name>
-            <parameter name="classes">
-              <string>com.company.domain.DomainObject</string>
-            </parameter>
-            <parameter name="check-portability">
-              <string>true</string>
-            </parameter>
-          </pdx-serializer>
-         </pdx>
-          ...
-        </cache>
-        ```
-    -   Using the Java API:
-
-        ``` pre
-        Cache c = new CacheFactory()
-          .setPdxSerializer(new 
ReflectionBasedAutoSerializer(true,"com.company.domain.DomainObject"))
-          .create();
-        ```
-
-For each domain class you provide, all fields are considered for serialization 
except those defined as `static` or `transient` and those you explicitly 
exclude using the class pattern strings.
-
-**Note:**
-The `ReflectionBasedAutoSerializer` traverses the given domain object's class 
hierarchy to retrieve all fields to be considered for serialization. So if 
`DomainObjectB` inherits from `DomainObjectA`, you only need to register 
`DomainObjectB` to have all of `DomainObjectB` serialized.
-
--   **[Customizing Serialization with Class Pattern 
Strings](../../developing/data_serialization/autoserialization_with_class_pattern_strings.html)**
-
-    Use class pattern strings to name the classes that you want to serialize 
using Geode's reflection-based autoserializer and to specify object identity 
fields and to specify fields to exclude from serialization.
-
--   **[Extending the 
ReflectionBasedAutoSerializer](../../developing/data_serialization/extending_the_autoserializer.html)**
-
-    You can extend the `ReflectionBasedAutoSerializer` to handle serialization 
in a customized manner. This section provides an overview of the available 
method-based customization options and an example of extending the serializer 
to support BigDecimal and BigInteger types.
-
-

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----
-title:  Customizing Serialization with Class Pattern Strings
----
-
-Use class pattern strings to name the classes that you want to serialize using 
Geode's reflection-based autoserializer and to specify object identity fields 
and to specify fields to exclude from serialization.
-
-The class pattern strings used to configured the 
`ReflectionBasedAutoSerializer` are standard regular expressions. For example, 
this expression would select all classes defined in the `com.company.domain` 
package and its subpackages:
-
-``` pre
-com\.company\.domain\..*
-```
-
-You can augment the pattern strings with a special notation to define fields 
to exclude from serialization and to define fields to mark as PDX identity 
fields. The full syntax of the pattern string is:
-
-``` pre
-<class pattern> [# (identity|exclude) = <field pattern>]... [, <class 
pattern>...]
-```
-
-The following example pattern string sets these PDX serialization criteria:
-
--   Classes with names matching the pattern `com.company.DomainObject.*` are 
serialized. In those classes, fields beginning with `id` are marked as identity 
fields and fields named `creationDate` are not serialized.
--   The class `com.company.special.Patient` is serialized. In the class, the 
field, `ssn` is marked as an identity field
-
-``` pre
-com.company.DomainObject.*#identity=id.*#exclude=creationDate, 
-com.company.special.Patient#identity=ssn
-```
-
-**Note:**
-There is no association between the `identity` and `exclude` options, so the 
pattern above could also be expressed as:
-
-``` pre
-com.company.DomainObject.*#identity=id.*, 
com.company.DomainObject.*#exclude=creationDate, 
-com.company.special.Patient#identity=ssn
-            
-```
-
-**Note:**
-The order of the patterns is not relevant. All defined class patterns are used 
when determining whether a field should be considered as an identity field or 
should be excluded.
-
-Examples:
-
--   This XML uses the example pattern shown above:
-
-    ``` pre
-    <parameter name="classes">
-      <string>com.company.DomainObject.*#identity=id.*#exclude=creationDate, 
-    com.company.special.Patient#identity=ssn</string>
-    </parameter>
-    ```
-
--   This application code sets the same pattern:
-
-    ``` pre
-    
classPatterns.add("com.company.DomainObject.*#identity=id.*#exclude=creationDate,
-       com.company.special.Patient#identity=ssn");
-    ```
-
--   This application code has the same effect:
-
-    ``` pre
-     Cache c = new CacheFactory().set("cache-xml-file", cacheXmlFileName)
-         .setPdxSerializer(new 
ReflectionBasedAutoSerializer("com.foo.DomainObject*#identity=id.*",
-             
"com.company.DomainObject.*#exclude=creationDate","com.company.special.Patient#identity=ssn"))
-         .create();
-    ```
-
-

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----
-title:  Data Serialization
----
-
-Data that you manage in Geode must be serialized and deserialized for storage 
and transmittal between processes. You can choose among several options for 
data serialization.
-
--   **[Overview of Data 
Serialization](../../developing/data_serialization/data_serialization_options.html)**
-
-    Geode offers serialization options other than Java serialization that give 
you higher performance and greater flexibility for data storage, transfers, and 
language types.
-
--   **[Geode PDX 
Serialization](../../developing/data_serialization/gemfire_pdx_serialization.html)**
-
-    Geode's Portable Data eXchange (PDX) is a cross-language data format that 
can reduce the cost of distributing and serializing your objects. PDX stores 
data in named fields that you can access individually, to avoid the cost of 
deserializing the entire data object. PDX also allows you to mix versions of 
objects where you have added or removed fields.
-
--   **[Geode Data Serialization (DataSerializable and 
DataSerializer)](../../developing/data_serialization/gemfire_data_serialization.html)**
-
-    Geode's `DataSerializable` interface gives you quick serialization of your 
objects.
-
--   **[Standard Java 
Serialization](../../developing/data_serialization/java_serialization.html)**
-
-    You can use standard Java serialization for data you only distribute 
between Java applications. If you distribute your data between non-Java clients 
and Java servers, you need to do additional programming to get the data between 
the various class formats.
-
-

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----
-title:  Overview of Data Serialization
----
-
-Geode offers serialization options other than Java serialization that give you 
higher performance and greater flexibility for data storage, transfers, and 
language types.
-
-<a 
id="data_serialization_options__section_B1BDB0E7F6814DFD8BACD8D8C5CAA81B"></a>
-All data that Geode moves out of the local cache must be serializable. 
However, you do not necessarily need to implement `java.io.Serializable` since 
other serialization options are available in Geode. Region data that must be 
serializable falls under the following categories:
-
--   Partitioned regions
--   Distributed regions
--   Regions that are persisted or overflowed to disk
--   Server or client regions in a client/server installation
--   Regions configured with a gateway sender for distributing events in a 
multi-site installation
--   Regions that receive events from remote caches
--   Regions that provide function arguments and results
-
-**Note:**
-If you are storing objects with the [HTTP Session Management 
Modules](../../tools_modules/http_session_mgmt/chapter_overview.html), these 
objects must be serializable since they are serialized before being stored in 
the region.
-
-To minimize the cost of serialization and deserialization, Geode avoids 
changing the data format whenever possible. This means your data might be 
stored in the cache in serialized or deserialized form, depending on how you 
use it. For example, if a server acts only as a storage location for data 
distribution between clients, it makes sense to leave the data in serialized 
form, ready to be transmitted to clients that request it. Partitioned region 
data is always initially stored in serialized form.
-
-## <a 
id="data_serialization_options__section_691C2CF5A4E24D599070A7AADEDF2BEC" 
class="no-quick-link"></a>Data Serialization Options
-
-<a 
id="data_serialization_options__section_44CC2DEEDA0F41D49D416ABA921A6436"></a>
-
-With Geode, you have the option to serialize your domain objects automatically 
or to implement serialization using one of Geode's interfaces. Enabling 
automatic serialization means that domain objects are serialized and 
deserialized without your having to make any code changes to those objects. 
This automatic serialization is performed by registering your domain objects 
with a custom `PdxSerializer` called the `ReflectionBasedAutoSerializer`, which 
uses Java reflection to infer which fields to serialize.
-
-If autoserialization does not meet your needs, you can serialize your objects 
by implementing one of the Geode interfaces, `PdxSerializable` or 
`DataSerializable`. You can use these interfaces to replace any standard Java 
data serialization for better performance. If you cannot or do not want to 
modify your domain classes, each interface has an alternate serializer class, 
`PdxSerializer` and `DataSerializer`. To use these, you create your custom 
serializer class and then associate it with your domain class in the Geode 
cache configuration.
-
-Geode Data serialization is about 25% faster than PDX serialization, however 
using PDX serialization will help you to avoid the even larger costs of 
performing deserialization.
-
-<a 
id="data_serialization_options__section_993B4A298874459BB4A8A0A9811854D9"></a><a
 
id="data_serialization_options__table_ccf00c9f-9b98-47f7-ab30-3d23ecaff0a1"></a>
-
-| Capability                                                                   
                                                    | Geode Data Serializable | 
Geode PDX Serializable |
-|----------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------|-----------------------------------------------------|
-| Implements Java Serializable.                                                
                                                    | X                         
                           |                                                   
  |
-| Handles multiple versions of application domain objects, providing the 
versions differ by the addition or subtraction of fields. |                    
                                  | X                                           
        |
-| Provides single field access of serialized data, without full 
deserialization - supported also for OQL querying.                 |           
                                           | X                                  
                 |
-| Automatically ported to other languages by Geode                             
                       |                                                      
| X                                                   |
-| Works with .NET clients.                                                     
                                                    | X                         
                           | X                                                  
 |
-| Works with C++ clients.                                                      
                                                   | X                          
                          | X                                                   
|
-| Works with Geode delta propagation.                                          
                       | X                                                    | 
X (See note below.)                                 |
-
-<span class="tablecap">**Table 1.** Serialization Options: Comparison of 
Features</span>
-
-**Note:** By default, you can use Geode delta propagation with PDX 
serialization. However, delta propagation will not work if you have set the 
Geode property `read-serialized` to "true". In terms of deserialization, to 
apply a change delta propagation requires a domain class instance and the 
`fromDelta `method. If you have set `read-serialized` to true, then you will 
receive a `PdxInstance` instead of a domain class instance and `PdxInstance` 
does not have the `fromDelta` method required for delta propagation.
-
-## <a 
id="data_serialization_options__section_D90C2C09B95C40B6803CF202CF8008BF" 
class="no-quick-link"></a>Differences between Geode Serialization (PDX or Data 
Serializable) and Java Serialization
-
-Geode serialization (either PDX Serialization or Data Serialization) does not 
support circular object graphs whereas Java serialization does. In Geode 
serialization, if the same object is referenced more than once in an object 
graph, the object is serialized for each reference, and deserialization 
produces multiple copies of the object. By contrast in this situation, Java 
serialization serializes the object once and when deserializing the object, it 
produces one instance of the object with multiple references.

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----
-title:  Extending the ReflectionBasedAutoSerializer
----
-
-You can extend the `ReflectionBasedAutoSerializer` to handle serialization in 
a customized manner. This section provides an overview of the available 
method-based customization options and an example of extending the serializer 
to support BigDecimal and BigInteger types.
-
-## <a 
id="concept_9E020566EE794A81A48A90BA798EC279__section_378C0C68A1B342DD9D754DDBDC4874B3"
 class="no-quick-link"></a>Reasons to Extend the ReflectionBasedAutoSerializer
-
-One of the main use cases for extending the `ReflectionBasedAutoSerializer` is 
that you want it to handle an object that would currently need to be handled by 
standard Java serialization. There are several issues with having to use 
standard Java serialization that can be addressed by extending the PDX 
`ReflectionBasedAutoSerializer`.
-
--   Each time we transition from a Geode serialized object to an object that 
will be Java I/O serialized, extra data must get serialized. This can cause a 
great deal of serialization overhead. This is why it is worth extending the 
`ReflectionBasedAutoSerializer` to handle any classes that normally would have 
to be Java I/O serialized.
--   Expanding the number of classes that can use the 
`ReflectionBasedAutoSerializer` is beneficial when you encounter object graphs. 
After we use Java I/O serialization on an object, any objects under that object 
in the object graph will also have to be Java I/O serialized. This includes 
objects that normally would have been serialized using PDX or 
`DataSerializable`.
--   If standard Java I/O serialization is done on an object and you have 
enabled check-portability, then an exception will be thrown. Even if you are 
not concerned with the object's portability, you can use this flag to find out 
what classes would use standard Java serialization (by getting an exception on 
them) and then enhancing your auto serializer to handle them.
-
-## <a 
id="concept_9E020566EE794A81A48A90BA798EC279__section_A739691C60FB4EB291289AADCD66C675"
 class="no-quick-link"></a>Overriding ReflectionBasedAutoSerializer Behavior
-
-You can customize the specific behaviors in `ReflectionBasedAutoSerializer` by 
overriding the following methods:
-
--   **`isClassAutoSerialized`** customizes which classes to autoserialize.
--   **`isFieldIncluded`** specifies which fields of a class to autoserialize.
--   **`getFieldName`** defines the specific field names that will be generated 
during autoserialization.
--   **`isIdentifyField`** controls which field is marked as the identity 
field. Identity fields are used when a PdxInstance computes its hash code to 
determine whether it is equal to another object.
--   **`getFieldType`** determines the field type that will be used when 
autoserializing the given field.
--   **`transformFieldValue`** controls whether specific field values of a PDX 
object can be transformed during serialization.
--   **`writeTransform`** controls what field value is written during auto 
serialization.
--   **`readTransform`** controls what field value is read during auto 
deserialization.
-
-These methods are only called the first time the 
`ReflectionBasedAutoSerializer` sees a new class. The results will be 
remembered and used the next time the same class is seen.
-
-For details on these methods and their default behaviors, see the JavaDocs on 
[ReflectionBasedAutoSerializer](/releases/latest/javadoc/org/apache/geode/pdx/ReflectionBasedAutoSerializer.html)
 for details.
-
-## <a 
id="concept_9E020566EE794A81A48A90BA798EC279__section_7C4CC39FD82A48A9B5F8376522078192"
 class="no-quick-link"></a>Example of Optimizing Autoserialization of 
BigInteger and BigDecimal Types
-
-This section provides an example of extending the 
`ReflectionBasedAutoSerializer` to optimize the automatic serialization of 
BigInteger and BigDecimal types.
-
-The following code sample illustrates a subclass of the 
`ReflectionBasedAutoSerializer` that optimizes BigInteger and BigDecimal 
autoserialization:
-
-``` pre
-public static class BigAutoSerializer extends ReflectionBasedAutoSerializer {
-   public BigAutoSerializer(Boolean checkPortability, string… patterns) {
-    super(checkPortability, patterns);
-}
-
-@Override
-public FieldType get FieldType(Field f, Class<?> clazz) {
-   if (f.getType().equals(BigInteger.class)) {
-        return FieldType.BYTE_ARRAY; 
-      } else if (f.getType().equals(BigDecimal.class)) {
-        return FieldType.STRING; 
-      } else {
-        return super.getFieldType(f, clazz);
-      }
-    }
-@Override
-    public boolean transformFieldValue(Field f, Class<?> clazz) {
-      if (f.getType().equals(BigInteger.class)) {
-        return true;
-      } else if (f.getType().equals(BigDecimal.class)) {
-        return true;
-      } else {
-        return super.transformFieldValue(f, clazz);
-      }
-    }
-
-@Override
-    public Object writeTransform(Field f, Class<?> clazz, Object 
originalValue) {
-      if (f.getType().equals(BigInteger.class)) {
-        byte[] result = null;
-        if (originalValue != null) {
-          BigInteger bi = (BigInteger)originalValue;
-          result = bi.toByteArray();
-        }
-        return result;
-      } else if (f.getType().equals(BigDecimal.class)) {
-        Object result = null;
-        if (originalValue != null) {
-          BigDecimal bd = (BigDecimal)originalValue;
-          result = bd.toString();
-        }
-        return result;
-      } else {
-        return super.writeTransform(f, clazz, originalValue);
-      }
-    }
-
-@Override
-    public Object readTransform(Field f, Class<?> clazz, Object 
serializedValue) {
-      if (f.getType().equals(BigInteger.class)) {
-        BigInteger result = null;
-        if (serializedValue != null) {
-          result = new BigInteger((byte[])serializedValue);
-        }
-        return result;
-      } else if (f.getType().equals(BigDecimal.class)) {
-        BigDecimal result = null;
-        if (serializedValue != null) {
-          result = new BigDecimal((String)serializedValue);
-        }
-        return result;
-      } else {
-        return super.readTransform(f, clazz, serializedValue);
-      }
-    }
-    
-  }
-```

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----
-title:  Geode Data Serialization (DataSerializable and DataSerializer)
----
-
-Geode's `DataSerializable` interface gives you quick serialization of your 
objects.
-
-## <a 
id="gemfire_data_serialization__section_0C84D6BF5E9748CB865E6BB944A077DE" 
class="no-quick-link"></a>Data Serialization with the DataSerializable Interface
-
-Geode's `DataSerializable` interface gives you faster and more compact data 
serialization than the standard Java serialization or Geode PDX serialization. 
However, while Geode `DataSerializable` interface is generally more performant 
than Geode's `PdxSerializable`, it requires full deserialization on the server 
and then reserialization to send the data back to the client.
-
-You can further speed serialization by registering the instantiator for your 
`DataSerializable` class through `Instantiator`, eliminating the need for 
reflection to find the right serializer. You can provide your own serialization 
through the API.
-
-The recommended way to register your custom `Instantiator` is by specifying it 
in the `serialization-registration` element of cache.xml.
-
-For more information, see the online Java documentation for `DataSerializable` 
and `DataSerializer`.
-
-**Example cache.xml:**
-
-The following provides an example of how to register an instantiator using 
cache.xml.
-
-``` pre
-<serialization-registration>
-<instantiator id="30">
-   <class-name>com.package.MyClass</class-name>
-</instantiator>
-</serialization-registration>
-```
-
-In addition to speeding standard object serialization, you can use the 
`DataSerializable` interface to serialize any custom objects you store in the 
cache.
-
-## <a 
id="gemfire_data_serialization__section_B21408E7090C41B08BF300146F87648B" 
class="no-quick-link"></a>Serializing Your Domain Object with DataSerializer
-
-You can also use `DataSerializer` to serialize domain objects. It serializes 
data in the same way as `DataSerializable` but allows you to serialize classes 
without modifying the domain class code.
-
-See the JavaDocs on 
[DataSerializable](/releases/latest/javadoc/org/apache/geode/DataSerializable.html)
 and 
[DataSerializer](/releases/latest/javadoc/org/apache/geode/DataSerializer.html) 
for more information.

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----
-title:  Geode PDX Serialization
----
-
-Geode's Portable Data eXchange (PDX) is a cross-language data format that can 
reduce the cost of distributing and serializing your objects. PDX stores data 
in named fields that you can access individually, to avoid the cost of 
deserializing the entire data object. PDX also allows you to mix versions of 
objects where you have added or removed fields.
-
--   **[Geode PDX Serialization 
Features](../../developing/data_serialization/PDX_Serialization_Features.html)**
-
-    Geode PDX serialization offers several advantages in terms of 
functionality.
-
--   **[High Level Steps for Using PDX 
Serialization](../../developing/data_serialization/use_pdx_high_level_steps.html)**
-
-    To use PDX serialization, you can configure and use Geode's 
reflection-based autoserializer, or you can program the serialization of your 
objects by using the PDX interfaces and classes.
-
--   **[Using Automatic Reflection-Based PDX 
Serialization](../../developing/data_serialization/auto_serialization.html)**
-
-    You can configure your cache to automatically serialize and deserialize 
domain objects without having to add any extra code to them.
-
--   **[Serializing Your Domain Object with a 
PdxSerializer](../../developing/data_serialization/use_pdx_serializer.html)**
-
-    For a domain object that you cannot or do not want to modify, use the 
`PdxSerializer` class to serialize and deserialize the object's fields. You use 
one `PdxSerializer` implementation for the entire cache, programming it for all 
of the domain objects that you handle in this way.
-
--   **[Implementing PdxSerializable in Your Domain 
Object](../../developing/data_serialization/use_pdx_serializable.html)**
-
-    For a domain object with source that you can modify, implement the 
`PdxSerializable` interface in the object and use its methods to serialize and 
deserialize the object's fields.
-
--   **[Programming Your Application to Use 
PdxInstances](../../developing/data_serialization/program_application_for_pdx.html)**
-
-    A `PdxInstance` is a light-weight wrapper around PDX serialized bytes. It 
provides applications with run-time access to fields of a PDX serialized object.
-
--   **[Adding JSON Documents to the Geode 
Cache](../../developing/data_serialization/jsonformatter_pdxinstances.html)**
-
-    The `JSONFormatter` API allows you to put JSON formatted documents into 
regions and retrieve them later by storing the documents internally as 
PdxInstances.
-
--   **[Using PdxInstanceFactory to Create 
PdxInstances](../../developing/data_serialization/using_PdxInstanceFactory.html)**
-
-    You can use the `PdxInstanceFactory` interface to create a `PdxInstance` 
from raw data when the domain class is not available on the server.
-
--   **[Persisting PDX Metadata to 
Disk](../../developing/data_serialization/persist_pdx_metadata_to_disk.html)**
-
-    Geode allows you to persist PDX metadata to disk and specify the disk 
store to use.
-
--   **[Using PDX Objects as Region Entry 
Keys](../../developing/data_serialization/using_pdx_region_entry_keys.html)**
-
-    Using PDX objects as region entry keys is highly discouraged.
-
-

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----
-title:  Standard Java Serialization
----
-
-You can use standard Java serialization for data you only distribute between 
Java applications. If you distribute your data between non-Java clients and 
Java servers, you need to do additional programming to get the data between the 
various class formats.
-
-<a id="java_serialization__section_AD2524E4E3C145D4A2CEB379DD8E9389"></a>
-Standard Java types are serializable by definition. For your domain classes, 
implement `java.io.Serializable`, then make sure to mark your transient and 
static variables as needed for your objects. For information, see the online 
documentation for `java.io.Serializable` for your Java version.
-
-Mixing `DataSerializable` with `Serializable` or `PdxSerializable` use on the 
same data can result in increased memory use and lower throughput than using 
just `Serializable` on the entire data, especially if the `Serializable` 
entries are in collections. The bigger the data collection, the lower the 
throughput as the metadata for the collection entries is not shared when using 
`DataSerializable`.
-
-

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----
-title:  Adding JSON Documents to the Geode Cache
----
-
-The `JSONFormatter` API allows you to put JSON formatted documents into 
regions and retrieve them later by storing the documents internally as 
PdxInstances.
-
-Geode now supports the use of JSON formatted documents natively. When you add 
a JSON document to a Geode cache, you call the JSONFormatter APIs to transform 
them into the PDX format (as a `PdxInstance`), which enables Geode to 
understand the JSON document at a field level.
-
-In terms of querying and indexing, because the documents are stored internally 
as PDX, applications can index on any field contained inside the JSON document 
including any nested field (within JSON objects or JSON arrays.) Any queries 
run on these stored documents will return PdxInstances as results. To update a 
JSON document stored in Geode , you can execute a function on the PdxInstance.
-
-You can then use the `JSONFormatter` to convert the PdxInstance results back 
into the JSON document.
-
-`JSONFormatter` uses a streaming parser 
([Jackson](http://wiki.fasterxml.com/JacksonHome), JSON processor) to turn JSON 
documents into the optimized PDX format. To use the JSONFormatter, make sure 
that `$GEMFIRE/lib/server-dependencies.jar` is available in your application's 
CLASSPATH.
-
-The `JSONFormatter` class has four static methods that are used to convert 
JSON document into PdxInstances and then to convert those PdxInstances back 
into JSON document.
-
-You need to call the following methods before putting any JSON document into 
the Geode region:
-
--   `fromJSON`. Creates a PdxInstance from a JSON byte array. Returns the 
PdxInstance.
--   `fromJSON`. Creates a PdxInstance from a JSON string. Returns the 
PdxInstance.
-
-After putting the JSON document into a region as a PdxInstance, you can 
execute standard Geode queries and create indexes on the JSON document in the 
same manner you would query or index any other Geode PdxInstance.
-
-After executing a Geode query or calling `region.get`, you can use the 
following methods to convert a PdxInstance back into the JSON format:
-
--   `toJSON`. Reads a PdxInstance and returns a JSON string.
--   `toJSONByteArray`. Reads a PdxInstance and returns a JSON byte array.
-
-For more information on using the JSONFormatter, see the Java API 
documentation for `org.apache.geode.pdx.JSONFormatter`.

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----
-title:  Persisting PDX Metadata to Disk
----
-
-Geode allows you to persist PDX metadata to disk and specify the disk store to 
use.
-
-<a 
id="persist_pdx_metadata_to_disk__section_7F357A8E56B54BFB9A5778C0F89E034E"></a>
-**Prerequisites**
-
--   Understand generally how to configure the Geode cache. See [Basic 
Configuration and Programming](../../basic_config/book_intro.html).
--   Understand how Geode disk stores work. See [Disk 
Storage](../../managing/disk_storage/chapter_overview.html).
-
-**Procedure**
-
-1.  Set the `<pdx>` attribute `persistent` to true in your cache 
configuration. This is required for caches that use PDX with persistent regions 
and with regions that use a gateway sender to distribute events across a WAN.. 
Otherwise, it is optional.
-2.  (Optional) If you want to use a disk store that is not the Geode default 
disk store, set the `<pdx>` attribute `disk-store-name` to the name of your 
non-default disk store.
-    **Note:**
-    If you are using PDX serialized objects as region entry keys and you are 
using persistent regions, then you must configure your PDX disk store to be a 
different one than the disk store used by the persistent regions.
-
-3.  (Optional) If you later want to rename the PDX types that are persisted to 
disk, you can do so on your offline disk-stores by executing the `pdx           
                  rename` command. See [pdx 
rename](../../tools_modules/gfsh/command-pages/pdx.html).
-
-**Example cache.xml:**
-
-This example `cache.xml` enables PDX persistence and sets a non-default disk 
store in a server cache configuration:
-
-``` pre
-  <pdx read-serialized="true" 
-       persistent="true" disk-store-name="SerializationDiskStore">
-    <pdx-serializer>
-      <class-name>pdxSerialization.defaultSerializer</class-name>
-    </pdx-serializer>
-  </pdx>
-  <region ...
-```
-
-

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----
-title:  Programming Your Application to Use PdxInstances
----
-
-A `PdxInstance` is a light-weight wrapper around PDX serialized bytes. It 
provides applications with run-time access to fields of a PDX serialized object.
-
-<a 
id="program_application_for_pdx__section_7F357A8E56B54BFB9A5778C0F89E034E"></a>
-You can configure your cache to return a `PdxInstance` when a PDX serialized 
object is deserialized instead of deserializing the object to a domain class. 
You can then program your application code that reads your entries to handle 
`PdxInstance`s fetched from the cache.
-
-**Note:**
-This applies only to entry retrieval that you explicitly code using methods 
like `EntryEvent.getNewValue` and `Region.get`, as you do inside functions or 
in cache listener code. This does not apply to querying because the query 
engine retrieves the entries and handles object access for you.
-
-If you configure your cache to allow PDX serialized reads, a fetch from the 
cache returns the data in the form it is found. If the object is not 
serialized, the fetch returns the domain object. If the object is serialized, 
the fetch returns the `PdxInstance` for the object.
-
-**Note:**
-If you are using `PdxInstance`s, you cannot use delta propagation to apply 
changes to PDX serialized objects.
-
-For example, in client/server applications that are programmed and configured 
to handle all data activity from the client, PDX serialized reads done on the 
server side will always return a `PdxInstance`. This is because all of data is 
serialized for transfer from the client, and you are not performing any 
server-side activities that would deserialize the objects in the server cache.
-
-In mixed situations, such as where a server cache is populated from client 
operations and also from data loads done on the server side, fetches done on 
the server can return a mix of `PdxInstance`s and domain objects.
-
-When fetching data in a cache with PDX serialized reads enabled, the safest 
approach is to code to handle both types, receiving an `Object` from the fetch 
operation, checking the type and casting as appropriate. However, if you know 
that the class is not available in the JVM, then you can avoid performing the 
type check.
-
-`PdxInstance` overrides any custom implementation you might have coded for 
your object's `equals` and `hashcode` methods. Make sure you have marked at 
least one identity field when writing PDX serialized objects. If you do not set 
as least one identity field, then the PdxInstance`equals` and `hashCode` 
methods will use all PDX fields to compare objects and consequently, will not 
perform as well.
-
-<a 
id="program_application_for_pdx__section_03F8918B4CAD49CCA1823FAAE25D53A8"></a>
-
-**Prerequisites**
-
--   Understand generally how to configure the Geode cache. See [Basic 
Configuration and 
Programming](../../basic_config/book_intro.html#basic_config_management).
-
-<a 
id="program_application_for_pdx__section_B3C7C7629DFD4483B32B27F84D64DFCF"></a>
-
-**Procedure**
-
-In your application where you fetch data from the cache, provide the following 
configuration and code as appropriate:
-
-1.  In the cache.xml file of the member where entry fetches are run, set the 
`<pdx>` `read-serialized` attribute to true.
-    Data is not necessarily accessed on the member that you have coded for it. 
For example, if a client application runs a function on a server, the actual 
data access is done on the server, so you set `read-serialized` to true on the 
server.
-
-    For example:
-
-    ``` pre
-    // Cache configuration setting PDX read behavior 
-    <cache>
-      <pdx read-serialized="true" />
-      ...
-    </cache>
-                                
-    ```
-
-2.  Write the application code that fetches data from the cache to handle a 
`PdxInstance`. If you are sure you will only retrieve `PdxInstance`s from the 
cache, you can code only for that. In many cases, a `PdxInstance` or a domain 
object may be returned from your cache entry retrieval operation, so you should 
check the object type and handle each possible type.
-
-    For example:
-
-    ``` pre
-    // put/get code with serialized read behavior
-    // put is done as normal
-    myRegion.put(myKey, myPdxSerializableObject);
-
-    // get checks Object type and handles each appropriately
-    Object myObject = myRegion.get(myKey);
-    if (myObject instanceof PdxInstance) {
-      // get returned PdxInstance instead of domain object    
-      PdxInstance myPdxInstance = (PdxInstance)myObject;
-
-      // PdxInstance.getField deserializes the field, but not the object
-      String fieldValue = myPdxInstance.getField("stringFieldName"); 
-
-      // Update a field and put it back into the cache 
-      // without deserializing the entire object
-      WritablePdxInstance myWritablePdxI = myPdxInstance.createWriter();
-      myWritablePdxI.setField("fieldName", fieldValue);
-      region.put(key, myWritablePdxI);
-
-      // Deserialize the entire object if needed, from the PdxInstance
-      DomainClass myPdxObject = (DomainClass)myPdxInstance.getObject();
-    }
-    else if (myObject instanceof DomainClass) {
-      // get returned instance of domain object  
-      // code to handle domain object instance  
-      ...  
-    }
-    ...
-    ```
-
-    **Note:**
-    Due to a limitation with PDX, if your PDX-enabled cache contains TreeSet 
domain objects, you should implement a Comparator that can handle both your 
domain objects and PdxInstance objects. You will also need to make the domain 
classes available on the server.
-
-

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----
-title:  High Level Steps for Using PDX Serialization
----
-
-To use PDX serialization, you can configure and use Geode's reflection-based 
autoserializer, or you can program the serialization of your objects by using 
the PDX interfaces and classes.
-
-<a 
id="concept_A7C8890826394B4293C036DD739835BD__section_7F357A8E56B54BFB9A5778C0F89E034E"></a>
-Optionally, program your application code to deserialize individual fields out 
of PDX representations of your serialized objects. You may also need to persist 
your PDX metadata to disk for recovery on startup.
-
-**Procedure**
-
-1.  Use one of these serialization options for each object type that you want 
to serialize using PDX serialization:
-    -   [Using Automatic Reflection-Based PDX 
Serialization](auto_serialization.html)
-    -   [Serializing Your Domain Object with a 
PdxSerializer](use_pdx_serializer.html)
-    -   [Implementing PdxSerializable in Your Domain 
Object](use_pdx_serializable.html)
-
-2.  To ensure that your servers do not need to load the application classes, 
set the `pdx` `read-serialized` attribute to true. In gfsh, execute the 
following command before starting up your servers:
-
-    ``` pre
-    gfsh>configure pdx --read-serialized=true
-    ```
-
-    By using gfsh, this configuration can propagated across the cluster 
through the [Cluster Configuration 
Service](../../configuring/cluster_config/gfsh_persist.html). Alternately, you 
would need to configure `pdx read-serialized` in each server's `cache.xml` file.
-
-3.  If you are storing any Geode data on disk, then you must configure PDX 
serialization to use persistence. See [Persisting PDX Metadata to 
Disk](persist_pdx_metadata_to_disk.html) for more information.
-4.  (Optional) Wherever you run explicit application code to retrieve and 
manage your cached entries, you may want to manage your data objects without 
using full deserialization. To do this, see [Programming Your Application to 
Use PdxInstances](program_application_for_pdx.html).
-
-## PDX and Multi-Site (WAN) Deployments
-
-For multisite (WAN) installations only-- if you will use PDX serialization in 
any of your WAN-enabled regions, for each distributed system, you must choose a 
unique integer between 0 (zero) and 255 and set the `distributed-system-id` in 
every member's `gemfire.properties` file. See [Configuring a Multi-site (WAN) 
System](../../topologies_and_comm/multi_site_configuration/setting_up_a_multisite_system.html).
-
-

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----
-title:  Implementing PdxSerializable in Your Domain Object
----
-
-For a domain object with source that you can modify, implement the 
`PdxSerializable` interface in the object and use its methods to serialize and 
deserialize the object's fields.
-
-<a id="use_pdx_serializable__section_7F357A8E56B54BFB9A5778C0F89E034E"></a>
-**Procedure**
-
-1.  In your domain class, implement `PdxSerializable`, importing the required 
`org.apache.geode.pdx` classes.
-
-    For example:
-
-    ``` pre
-    import org.apache.geode.pdx.PdxReader;
-    import org.apache.geode.pdx.PdxSerializable;
-    import org.apache.geode.pdx.PdxWriter;
-
-    public class PortfolioPdx implements PdxSerializable {
-      ...
-    ```
-
-2.  If your domain class does not have a zero-arg constructor, create one for 
it.
-
-    For example:
-
-    ``` pre
-    public PortfolioPdx(){}
-    ```
-
-3.  Program `PdxSerializable.toData.`
-    1.  Write each standard Java data field of your domain class using the 
`PdxWriter` write methods. Geode automatically provides `PdxWriter` to the 
`toData` method for `PdxSerializable` objects.
-    2.  Call the `PdxWriter` `markIdentifyField` method for each field you 
want to have Geode use to identify your object. Put this after the field's 
write method. Geode uses this information to compare objects for operations 
like distinct queries. If you do not set as least one identity field, then the 
`equals` and `hashCode` methods will use all PDX fields to compare objects and 
consequently, will not perform as well. It is important that the fields used by 
your `equals` and `hashCode` implementations are the same fields that you mark 
as identity fields.
-    3.  For a particular version of your class, you need to consistently write 
the same named field each time. The field names or number of fields must not 
change from one instance to another for the same class version.
-    4.  For best performance, do fixed width fields first and then variable 
length fields.
-
-        Example `toData` code:
-
-        ``` pre
-        // PortfolioPdx fields
-          private int id;
-          private String pkid;
-          private Map<String, PositionPdx> positions;
-          private String type;
-          private String status;
-          private String[] names;
-          private byte[] newVal;
-          private Date creationDate;
-          ...
-
-          public void toData(PdxWriter writer)
-          {
-            writer.writeInt("id", id)
-        // The markIdentifyField call for a field must 
-        // come after the field's write method 
-            .markIdentityField("id")
-            .writeDate("creationDate", creationDate) //fixed length field
-            .writeString("pkid", pkid)
-            .writeObject("positions", positions)
-            .writeString("type", type)
-            .writeString("status", status)
-            .writeStringArray("names", names)
-            .writeByteArray("newVal", newVal)
-          }
-        ```
-
-4.  Program `PdxSerializable.fromData` to read your data fields from the 
serialized form into the object's fields using the `PdxReader` read methods.
-
-    Provide the same names that you did in `toData` and call the read 
operations in the same order as you called the write operations in your 
`toData` implementation.
-
-    Geode automatically provides `PdxReader` to the `fromData` method for 
`PdxSerializable` objects.
-
-    Example `fromData` code:
-
-    ``` pre
-      
-    public void fromData(PdxReader reader)
-      {
-        id = reader.readInt("id");
-        creationDate = reader.readDate("creationDate");
-        pkid = reader.readString("pkid");
-        position1 = (PositionPdx)reader.readObject("position1");
-        position2 = (PositionPdx)reader.readObject("position2");
-        positions = (Map<String, PositionPdx>)reader.readObject("positions");
-        type = reader.readString("type");
-        status = reader.readString("status");
-        names = reader.readStringArray("names");
-        newVal = reader.readByteArray("newVal");
-        arrayNull = reader.readByteArray("arrayNull");
-        arrayZeroSize = reader.readByteArray("arrayZeroSize");
-      }
-    ```
-
-**What to do next**
-
--   As needed, configure and program your Geode applications to use 
`PdxInstance` for selective object deserialization. See [Programming Your 
Application to Use PdxInstances](program_application_for_pdx.html).
-
-

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----
-title:  Serializing Your Domain Object with a PdxSerializer
----
-
-For a domain object that you cannot or do not want to modify, use the 
`PdxSerializer` class to serialize and deserialize the object's fields. You use 
one `PdxSerializer` implementation for the entire cache, programming it for all 
of the domain objects that you handle in this way.
-
-With `PdxSerializer`, you leave your domain object as-is and handle the 
serialization and deserialization in the separate serializer. You register the 
serializer in your cache PDX configuration. Program the serializer to handle 
all of the domain objects you need.
-
-If you write your own `PdxSerializer` and you also use the 
`ReflectionBasedAutoSerializer`, then the `PdxSerializer` needs to own the 
`ReflectionBasedAutoSerializer` and delegate to it. A Cache can only have a 
single `PdxSerializer` instance.
-
-**Note:**
-The `PdxSerializer` `toData` and `fromData` methods differ from those for 
`PdxSerializable`. They have different parameters and results.
-
-**Procedure**
-
-1.  In the domain classes that you wish to PDX serialize, make sure each class 
has a zero-arg constructor. For example:
-
-    ``` pre
-    public PortfolioPdx(){}
-    ```
-
-2.  If you have not already implemented `PdxSerializer` for some other domain 
object, perform these steps:
-    1.  Create a new class as your cache-wide serializer and make it implement 
`PdxSerializer`. If you want to declare your new class in the `cache.xml` file, 
have it also implement `Declarable`.
-
-        Example:
-
-        ``` pre
-        import org.apache.geode.cache.Declarable;
-        import org.apache.geode.pdx.PdxReader;
-        import org.apache.geode.pdx.PdxSerializer;
-        import org.apache.geode.pdx.PdxWriter;
-
-        public class ExamplePdxSerializer implements PdxSerializer, Declarable 
{
-        ...
-        ```
-
-    2.  In your cache pdx configuration, register the serializer class in the 
cache's `<pdx>` `<pdx-serializer>` `<class-name>` attribute.
-
-        Example:
-
-        ``` pre
-        // Configuration setting PDX serializer for the cache
-        <cache>
-          <pdx>
-            <pdx-serializer>
-             <class-name>com.company.ExamplePdxSerializer</class-name>
-            </pdx-serializer>
-          </pdx> 
-          ...
-        </cache>
-        ```
-
-        Or use the `CacheFactory.setPdxSerializer ` API.
-
-        ``` pre
-        Cache c = new CacheFactory
-           .setPdxSerializer(new ExamplePdxSerializer())
-           .create();
-        ```
-
-    **Note:**
-    You cannot specify a custom `pdx-serializer` class using gfsh, however the 
`configure pdx` command automatically configures the <span class="keyword 
apiname">org.apache.geode.pdx.ReflectionBasedAutoSerializer</span> class. See 
[configure 
pdx](../../tools_modules/gfsh/command-pages/configure.html#topic_jdkdiqbgphqh).
-
-3.  Program `PdxSerializer.toData` to recognize, cast, and handle your domain 
object:
-
-    1.  Write each standard Java data field of your domain class using the 
`PdxWriter` write methods.
-    2.  Call the `PdxWriter` `markIdentityField` method for each field you 
want to have Geode use to identify your object. Put this after the field's 
write method. Geode uses this information to compare objects for operations 
like distinct queries. If you do not set as least one identity field, then the 
`equals` and `hashCode` methods will use all PDX fields to compare objects and 
consequently, will not perform as well. It is important that the fields used by 
your `equals` and `hashCode` implementations are the same fields that you mark 
as identity fields.
-    3.  For a particular version of your class, you need to consistently write 
the same named field each time. The field names or number of fields must not 
change from one instance to another for the same class version.
-    4.  For best performance, do fixed width fields first and then variable 
length fields.
-    5.  If desired, you can check the portability of the object before 
serializing it by adding the `checkPortability` parameter when using the`       
                          PdxWriter` `writeObject`, `writeObjectArray`, and 
`writeField` methods.
-
-    Example `toData` code:
-
-    ``` pre
-    public boolean toData(Object o, PdxWriter writer)
-      {
-        if(!(o instanceof PortfolioPdx)) {
-          return false;
-        }
-
-        PortfolioPdx instance = (PortfolioPdx) o;
-        writer.writeInt("id", instance.id)
-        //identity field
-        .markIdentityField("id")
-        .writeDate("creationDate", instance.creationDate)
-        .writeString("pkid", instance.pkid)
-        .writeObject("positions", instance.positions)
-        .writeString("type", instance.type)
-        .writeString("status", instance.status)
-        .writeStringArray("names", instance.names)
-        .writeByteArray("newVal", instance.newVal)
-
-        return true;
-      }
-    ```
-
-    1.  Program `PdxSerializer.fromData` to create an instance of your class, 
read your data fields from the serialized form into the object's fields using 
the `PdxReader` read methods, and return the created object.
-
-        Provide the same names that you did in `toData` and call the read 
operations in the same order as you called the write operations in your 
`toData` implementation.
-
-        Geode provides the domain class type and `PdxReader` to the `fromData` 
method.
-
-        Example `fromData` code:
-
-        ``` pre
-          public Object fromData(Class<?> clazz, PdxReader reader)
-          {
-            if(!clazz.equals(PortfolioPdx.class)) {
-              return null;
-            }
-
-            PortfolioPdx instance = new PortfolioPdx();
-            instance.id = reader.readInt("id");
-            instance.creationDate = reader.readDate("creationDate");
-            instance.pkid = reader.readString("pkid");
-            instance.positions = (Map<String, 
PositionPdx>)reader.readObject("positions");
-            instance.type = reader.readString("type");
-            instance.status = reader.readString("status");
-            instance.names = reader.readStringArray("names");
-            instance.newVal = reader.readByteArray("newVal");
-
-            return instance;
-          }
-        ```
-
-4.  If desired, you can also enable extra validation in your use of 
`PdxWriter`. You can set this by setting the system property 
`gemfire.validatePdxWriters` to **true**. Note that you should only set this 
option if you are debugging new code as this option can decrease system 
performance.
-
-

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----
-title:  Using PdxInstanceFactory to Create PdxInstances
----
-
-You can use the `PdxInstanceFactory` interface to create a `PdxInstance` from 
raw data when the domain class is not available on the server.
-
-This can be particularly useful when you need an instance of a domain class 
for plug in code such as a function or a loader. If you have the raw data for 
the domain object (the class name and each field's type and data), then you can 
explicitly create a `PdxInstance`. The `PdxInstanceFactory` is very similar to 
the `PdxWriter` except that after writing each field, you need to call the 
create method which returns the created PdxInstance.
-
-To create a factory call `RegionService.createPdxInstanceFactory`. A factory 
can only create a single instance. To create multiple instances create multiple 
factories or use `PdxInstance.createWriter()` to create subsequent instances. 
Using `PdxInstance.createWriter()` is usually faster.
-
-When you create a PdxInstance, set as least one identity field using the 
`markIndentityField` method. If you do not mark an identity field, the 
PdxInstance`equals` and `hashCode` methods will use all PDX fields to compare 
objects and consequently, will not perform as well. It is important that the 
fields used by your `equals` and `hashCode` implementations are the same fields 
that you mark as identity fields.
-
-The following is a code example of using `PdxInstanceFactory`:
-
-``` pre
-PdxInstance pi = cache.createPdxInstanceFactory("com.company.DomainObject")
-   .writeInt("id", 37)
-   .markIdentityField("id")
-   .writeString("name", "Mike Smith")
-   .writeObject("favoriteDay", cache.createPdxEnum("com.company.Day", 
"FRIDAY", 5))
-   .create();
-```
-
-For more information, see `PdxInstanceFactory` in the Java API documentation.
-
-## <a 
id="concept_FFECBE8249D848E9A2CF7FD02514EC68__section_F4EC56197730427084FBF040820A6149"
 class="no-quick-link"></a>Enum Objects as PdxInstances
-
-You can now work with enum objects as PdxInstances. When you fetch an enum 
object from the cache, you can now deserialize it as a `PdxInstance`. To check 
whether a `PdxInstance` is an enum, use the `PdxInstance.isEnum` method. An 
enum `PdxInstance` will have one field named "name" whose value is a String 
that corresponds to the enum constant name.
-
-An enum `PdxInstance` is not writable; if you call `createWriter` it will 
throw an exception.
-
-The `RegionService` has a method that allows you to create a `PdxInstance` 
that represents an enum. See `RegionService.createPdxEnum` in the Java API 
documentation.
-
-

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----
-title:  Using PDX Objects as Region Entry Keys
----
-
-Using PDX objects as region entry keys is highly discouraged.
-
-<a 
id="concept_E5B95958B8D04B2285CB5E4DC6FABC78__section_900BD620D716407AA78BE0E38C2C396D"></a>
-The best practice for creating region entry keys is to use a simple key; for 
example, use a String or Integer. If the key must be a domain class, then you 
should use a non-PDX-serialized class.
-
-If you must use PDX serialized objects as region entry keys, ensure that you 
do not set `read-serialized` to `true`. This configuration setting will cause 
problems in partitioned regions because partitioned regions require the hash 
code of the key to be the same on all JVMs in the distributed system. When the 
key is a `PdxInstance` object, its hash code will likely not be the same as the 
hash code of the domain object.
-
-If you are using PDX serialized objects as region entry keys and you are using 
persistent regions, then you must configure your PDX disk store to be a 
different one than the disk store used by the persistent regions.
-
-

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----
-title:  Delta Propagation
----
-
-Delta propagation allows you to reduce the amount of data you send over the 
network by including only changes to objects rather than the entire object.
-
--   **[How Delta Propagation Works](how_delta_propagation_works.html)**
-
-    Delta propagation reduces the amount of data you send over the network. 
You do this by only sending the change, or delta, information about an object, 
instead of sending the entire changed object. If you do not use cloning when 
applying the deltas, you can also expect to generate less garbage in your 
receiving JVMs.
-
--   **[When to Avoid Delta Propagation](when_to_use_delta_prop.html)**
-
-    Generally, the larger your objects and the smaller the deltas, the greater 
the benefits of using delta propagation. Partitioned regions with higher 
redundancy levels generally benefit more from delta propagation. However, in 
some application scenarios, delta propagation does not show any significant 
benefits. On occasion it results in performance degradation.
-
--   **[Delta Propagation Properties](delta_propagation_properties.html)**
-
-    This topic describes the properties that can be used to configure delta 
propagation.
-
--   **[Implementing Delta Propagation](implementing_delta_propagation.html)**
-
-    By default, delta propagation is enabled in your distributed system. When 
enabled, delta propagation is used for objects that implement 
`org.apache.geode.Delta`. You program the methods to store and extract delta 
information for your entries and to apply received delta information.
-
--   **[Errors In Delta Propagation](errors_in_delta_propagation.html)**
-
-    This topic lists the errors that can occur when using delta propagation.
-
--   **[Delta Propagation Example](delta_propagation_example.html)**
-
-    This topic provides an example of delta propagation.
-
-

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----
-title:  Delta Propagation Example
----
-
-This topic provides an example of delta propagation.
-
-<a 
id="delta_propagation_example__section_F6700EB7F305462D9F0DEE3080497A14"></a>
-In this example, the feeder client is connected to the first server, and the 
receiver client is connected to the second. The servers are peers to each other.
-
-<img src="../../images/DeltaPropagation-3.gif" 
id="delta_propagation_example__image_E20DAE5925C44EBDA03D1AC8325D1122" 
class="image" />
-
-The example demonstrates the following operations:
-
-1.  In the Feeder client, the application updates the entry object and puts 
the entry. In response to the `put`, Geode calls `hasDelta`, which returns 
true, so Geode calls `toDelta` and forwards the extracted delta to the server. 
If `hasDelta` returned false, Geode would distribute the full entry value.
-2.  In Server1, Geode applies the delta to the cache, distributes the received 
delta to the server's peers, and forwards it to any other clients with interest 
in the entry (there are no other clients to Server1 in this example)
-3.  In Server2, Geode applies the delta to the cache and forwards it to its 
interested clients, which in this case is just the Receiver client.
-
-<a 
id="delta_propagation_example__section_185444FC51FB467587A62DFEC07C9C7D"></a>
-
-This example shows the basic approach to programming a `Delta` implementation.
-
-``` pre
-package delta;
-
-import org.apache.geode.Delta;
-import org.apache.geode.InvalidDeltaException;
-import java.io.DataInput;
-import java.io.DataOutput;
-import java.io.IOException;
-import java.io.Serializable;
-
-/**
- * Sample implementation of Delta
- * 
- * @author GemStone Systems, Inc.
- * @since 6.1
- */
-public class SimpleDelta implements Delta, Serializable {
-
-// Original object fields
-    private int intVal;
-    private double doubleVal;
-
-    // Added for delta - one boolean per field to track changed status
-    private transient boolean intFldChd = false;
-    private transient boolean dblFldChd = false;
-
-    public SimpleDelta(){}
-
-    public SimpleDelta(int i, double d){
-        this.intVal = i;
-        this.doubleVal = d;
-    }
-
-    public boolean hasDelta() {
-        return this.intFldChd || this.dblFldChd;
-    }
-
-    public void toDelta(DataOutput out) throws IOException {
-        System.out.println("Extracting delta from " + this.toString());
-    // Write information on what has changed to the 
-    // data stream, so fromDelta knows what it's getting 
-        out.writeBoolean(intFldChd);
-        if (intFldChd) {
-    // Write just the changes into the data stream
-            out.writeInt(this.intVal);
-    // Once the delta information is written, reset the delta status field
-            this.intFldChd = false;
-            System.out.println(" Extracted delta from field 'intVal' = "
-                                                + this.intVal);
-        }
-        out.writeBoolean(dblFldChd);
-        if (dblFldChd) {
-            out.writeDouble(this.doubleVal);
-            this.dblFldChd = false;
-            System.out.println(" Extracted delta from field 'doubleVal' = "
-                                                + this.doubleVal);
-        }
-    }
-
-    public void fromDelta(DataInput in) throws IOException, 
InvalidDeltaException {
-        System.out.println("Applying delta to " + this.toString());
-        // For each field, read whether there is a change 
-        if (in.readBoolean()) {
-            // Read the change and apply it to the object 
-            this.intVal = in.readInt();
-            System.out.println(" Applied delta to field 'intVal' = "
-                        + this.intVal);
-        }
-        if (in.readBoolean()) {
-            this.doubleVal = in.readDouble();
-            System.out.println(" Applied delta to field 'doubleVal' = "
-                        + this.doubleVal);
-        }
-    }
-    // In the setter methods, add setting of delta-related 
-    // fields indicating what has changed 
-    public void setIntVal(int anIntVal) {
-        this.intFldChd = true;
-        this.intVal = anIntVal;
-    }
-
-    public void setDoubleVal(double aDoubleVal) {
-        this.dblFldChd = true;
-        this.doubleVal = aDoubleVal;
-    }
-
-    public String toString() {
-        return "SimpleDelta [ hasDelta = " + hasDelta() + ", intVal = " + 
-                this.intVal + ", doubleVal = {" + this.doubleVal + "} ]";
-    }
-}
-```

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----
-title:  Delta Propagation Properties
----
-
-This topic describes the properties that can be used to configure delta 
propagation.
-
-Delta propagation properties can be configured through the API and through the 
`gemfire.properties` and `cache.xml` files.
-
-## <a 
id="delta_propagation_properties__section_561D6DA876E24469B7536E98AB12F676" 
class="no-quick-link"></a>delta-propagation
-
-A `gemfire.properties` boolean that enables or disables delta propagation. 
When false, full entry values are sent for every update. The default setting is 
true, which enables delta propagation.
-
-Disable delta propagation as follows:
-
--   `gemfire.properties`:
-
-    ``` pre
-    delta-propagation=false
-    ```
-
--   API:
-
-    ``` pre
-    Properties props = new Properties();
-    props.setProperty("delta-propagation", false);
-    this.cache = new ClientCacheFactory(props).create();
-    ```
-
-## <a 
id="delta_propagation_properties__section_7D4590512D1548FD94F81C8726A2CA44" 
class="no-quick-link"></a>cloning-enabled
-
-A region attributes boolean that affects how `fromDelta` applies deltas to the 
local cache. When true, the updates are applied to a clone of the value and 
then the clone is saved to the cache. When false, the value is modified in 
place in the cache. The default value is false.
-
-Exceptions to this behavior:
-
--   If the `Cache` attribute `copy-on-read` is true, cloning is enabled, 
regardless of what this attribute is set to.
--   If the `Region` attribute `off-heap` is true, cloning is enabled, 
regardless of what this attribute is set to.
-
-Cloning can be expensive, but it ensures that the new object is fully 
initialized with the delta before any application code sees it.
-
-When cloning is enabled, by default Geode does a deep copy of the object, 
using serialization. You may be able to improve performance by implementing 
`java.lang.Cloneable` and then implementing the `clone` method, making a deep 
copy of anything to which a delta may be applied. The goal is to reduce 
significantly the overhead of copying the object while still retaining the 
isolation needed for your deltas.
-
-Without cloning:
-
--   It is possible for application code to read the entry value as it is being 
modified, possibly seeing the value in an intermediate, inconsistent state, 
with just part of the delta applied. You may choose to resolve this issue by 
having your application code synchronize on reads and writes.
--   Geode loses any reference to the old value because the old value is 
transformed in place into the new value. Because of this, your `CacheListener` 
sees the same new value returned for `EntryEvent.getOldValue` and 
`EntryEvent.getNewValue` .
--   Exceptions thrown from `fromDelta` may leave your cache in an inconsistent 
state. Without cloning, any interruption of the delta application could leave 
you with some of the fields in your cached object changed and others unchanged. 
If you do not use cloning, keep this in mind when you program your error 
handling in your `fromDelta` implementation.
-
-With cloning:
-
--   The `fromDelta` method generates more garbage in memory.
--   Performance is reduced.
-
-Enable cloning as follows:
-
--   `cache.xml`:
-
-    ``` pre
-    <region name="region_with_cloning">
-        <region-attributes refid="REPLICATE" cloning-enabled="true">
-        </region-attributes>
-    </region>
-    ```
-
--   API:
-
-    ``` pre
-    RegionFactory rf = cache.createRegionFactory(REPLICATE);
-    rf.setCloningEnabled(true);
-    custRegion = rf.create("customer");
-    ```
-
--   gfsh:
-
-    ``` pre
-    gfsh>create region --name="region_with_cloning" --type=REPLICATE
-    --enable-cloning=true
-    ```
-
-

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----
-title:  Errors In Delta Propagation
----
-
-This topic lists the errors that can occur when using delta propagation.
-
-<a 
id="errors_in_delta_propagation__section_877AC61D691C44078A782683F90D169B"></a>
-Errors in delta propagation fall into two categories based on how they are 
handled by the system:
-
--   Problems applying the delta that can be remedied by requesting the full 
value in place of the delta. Your `put` operation does not see errors or 
exceptions related to this type of delta propagation failure. The system 
automatically does a full value distribution from the sender to the receiver 
where the problem occurs. This type of error includes:
-    -   Unavailable entry value in the receiving cache, either because the 
entry is missing or its value is null. In both cases, there is nothing to apply 
the delta to and the full value must be sent. This is most likely to occur if 
you destroy or invalidate your entries locally, either through application 
calls or through configured actions like eviction or entry expiration.
-    -   `InvalidDeltaException` thrown by `fromDelta` method, programmed by 
you. This exception enables you to avoid applying deltas that would violate 
data consistency checks or other application requirements.
-    -   Any error applying the delta in a client in server-to-client 
propagation. The client logs a warning in addition to retrieving the full value 
from the server.
--   Problems creating or distributing the delta that cannot be fixed by 
distributing the full value. In these cases, your `put` operation fails with an 
exception. This type of error includes:
-    -   Error or exception in `hasDelta` or `toDelta`.
-    -   Error or exception in a server or peer receiver that fall outside of 
the situations described above in the first category.
-
-

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----
-title:  How Delta Propagation Works
----
-
-Delta propagation reduces the amount of data you send over the network. You do 
this by only sending the change, or delta, information about an object, instead 
of sending the entire changed object. If you do not use cloning when applying 
the deltas, you can also expect to generate less garbage in your receiving JVMs.
-
-<a 
id="how_delta_propagation_works__section_78D584B3FFD04D1D9BA83203FF2B55A9"></a>
-In most distributed data management systems, the data stored in the system 
tends to be created once and then updated frequently. These updates are sent to 
other members for event propagation, redundancy management, and cache 
consistency in general. Tracking only the changes in an updated object and 
sending only the deltas mean lower network transmission costs and lower object 
serialization/deserialization costs. Performance improvements can be 
significant, especially when changes to an object are small relative to its 
overall size.
-
-<a 
id="how_delta_propagation_works__section_ABE3589920D6477BBB2223A583AF169A"></a>
-
-Geode propagates object deltas using methods that you program. The methods are 
in the `Delta` interface, which you implement in your cached objects' classes. 
If any of your classes are plain old Java objects, you need to wrap them for 
this implementation.
-
-This figure shows delta propagation for a change to an entry with key, k, and 
value object, v.
-
-<img src="../../images/DeltaPropagation-1.gif" 
id="how_delta_propagation_works__image_06A25185C31548669423DDA3136B1851" 
class="image" />
-
-1.  **`get` operation**. The `get` works as usual: the cache returns the full 
entry object from the local cache or, if it isn't available there, from a 
remote cache or from a loader.
-2.  **update methods**. You need to add code to the object's update methods so 
that they save delta information for object updates, in addition to the work 
they were already doing.
-3.  **`put` operation**. The `put` works as usual in the local cache, using 
the full value, then calls `hasDelta` to see if there are deltas and `toDelta` 
to serialize the information. Distribution is the same as for full values, 
according to member and region configuration.
-4.  **receipt of delta at remote member**. `fromDelta` extracts the delta 
information that was serialized by `toDelta` and applies it to the object in 
the local cache. The delta is applied directly to the existing value or to a 
clone, depending on how you configure it for the region.
-5.  **additional distributions**. As with full distributions, receiving 
members forward the delta according to their configurations and connections to 
other members. For example, if VM1 is a client and VM2 is a server, VM2 
forwards the delta to its peers and its other clients as needed. Receiving 
members do not recreate the delta; `toDelta` is only called in the originating 
member.
-
-## <a 
id="how_delta_propagation_works__section_25EC5BE960F0402DAEDBE0A5A6589ACA" 
class="no-quick-link"></a>General Characteristics of Delta Propagation
-
-To use the delta propagation feature, all updates on a key in a region must 
have value types that implement the `Delta` interface. You cannot mix object 
types for an entry key where some of the types implement delta and some do not. 
This is because, when a type implementing the delta interface is received for 
an update, the existing value for the key is cast to a `Delta` type to apply 
the received delta. If the existing type does not also implement the `Delta` 
interface, the operation throws a `ClassCastException`.
-
-**Note:** Only the object itself being placed in the cache can implement the 
`Delta` interface and propagate changes. Any sub-objects of the cache object do 
not propagate their changes.
-
-Sometimes `fromDelta` cannot be invoked because there is no object to apply 
the delta to in the receiving cache. When this happens, the system 
automatically does a full value distribution to the receiver. These are the 
possible scenarios:
-1.  If the system can determine beforehand that the receiver does not have a 
local copy, it sends the initial message with the full value. This is possible 
when regions are configured with no local data storage, such as with the region 
shortcut settings `PARTITION_PROXY` and `REPLICATE_PROXY`. These configurations 
are used to accomplish things like provide data update information to listeners 
and to pass updates forward to clients.
-2.  In less obvious cases, such as when an entry has been locally deleted, 
first the delta is sent, then the receiver requests a full value and that is 
sent. Whenever the full value is received, any further distributions to the 
receiver's peers or clients uses the full value.
-
-Geode also does not propagate deltas for:
-
--   Transactional commit
--   The `putAll` operation
--   JVMs running Geode versions that do not support delta propagation (6.0 and 
earlier)
-
-## <a 
id="how_delta_propagation_works__section_F4A102A74530429F87BEA53C90D5CCFB" 
class="no-quick-link"></a>Supported Topologies and Limitations
-
-The following topologies support delta propagation (with some limitations):
-
--   **Peer-to-peer**. Geode system members distribute and receive entry 
changes using delta propagation, with these requirements and caveats:
-    -   Regions must be partitioned or have their scope set to 
`distributed-ack` or `global`. The region shortcut settings for distributed 
regions use `distributed-ack` `scope`. Delta propagation does not work for 
regions with `distributed-no-ack` `scope` because the receiver could not 
recover if an exception occurred while applying the delta.
-    -   For partitioned regions, if a receiving peer does not hold the primary 
or a secondary copy of the entry, but still requires a value, the system 
automatically sends the full value.
-    -   To receive deltas, a region must be non-empty. The system 
automatically sends the full value to empty regions. Empty regions can send 
deltas.
--   **Client/server**. Geode clients can always send deltas to the servers, 
and servers can usually sent deltas to clients. These configurations require 
the servers to send full values to the clients, instead of deltas:
-    -   When the client's `gemfire.properties` setting `conflate-events` is 
set to true, the servers send full values for all regions.
-    -   When the server region attribute `enable-subscription-conflation` is 
set to true and the client `gemfire.properties` setting `conflate-events` is 
set to `server`, the servers send full values for the region.
-    -   When the client region is configured with the `PROXY` client region 
shortcut setting (empty client region), servers send full values.
-

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