Interface | Description |
---|---|
GatewayServerListener |
A client can implement this listener to be notified of Gateway events.
|
Class | Description |
---|---|
Base64 |
A very fast and memory efficient class to encode and decode to and from
BASE64 in full accordance with RFC 2045.
On Windows XP sp1 with 1.4.2_04 and later ;), this encoder and decoder is about 10 times faster on small arrays (10 - 1000 bytes) and 2-3 times as fast on larger arrays (10000 - 1000000 bytes) compared to sun.misc.Encoder()/Decoder() .On byte arrays the encoder is about 20% faster than Jakarta Commons Base64 Codec for encode and about 50% faster for decoding large arrays. |
CallbackClient |
A CallbackClient is responsible for managing communication channels: channels
are created as needed (e.g., one per concurrent thread) and are closed after
a certain time.
|
CallbackConnection |
Default implementation of the CommunicationChannel interface using TCP
sockets.
|
DefaultApplication |
Default application that can be used to quickly test Py4J.
|
DefaultGatewayServerListener |
This class implements a default
GatewayServerListener . |
Gateway |
A Gateway manages various states: entryPoint, references to objects returned
to a Python program, etc.
|
GatewayConnection |
Manage the connection between a Python program and a Gateway.
|
GatewayServer |
This class enables Python programs to access a Java program.
|
JVMView |
A JVM view keeps track of imports and import searches.
|
NetworkUtil |
Utility class used to perform network operations.
|
Protocol |
This class defines the protocol used to communicate between two virtual
machines (e.g., Python and Java).
|
ReturnObject |
A ReturnObject wraps a value returned by a method.
|
StringUtil |
String utility class providing operations to escape and unescape new lines.
|
Exception | Description |
---|---|
Py4JException |
Exception raised when an error is encountered while using Py4J.
|
Py4JJavaException |
Exception raised when an exception is thrown in the client code.
|
Py4JNetworkException |
Exception raised when a network error is encountered while using Py4J.
|