Java
Java API migration guide for 1.0.0
The API has been extensively modified with the following goals in mind:
- Match the API rework done through the Rust Zenoh API.
- Abstracting users from the underlying native mechanisms.
- Making the API more idiomatic, more “imperative”.
Remotion of the builder patterns and options parameters
Throughout the 0.11.0 API, we were exposing builders, for instance:
session.put(keyExpr, value)
.congestionControl(CongestionControl.BLOCK)
.priority(Priority.REALTIME)
.res()
This seemed odd, because “put” is an imperative statement. This could lead to confusions since it’s not evident that instead of performing the put operation, that function returns a builder that must be built with a ‘res()’ (from resolve) function. After some deliberation, we opted for the following approach:
Making the
put
operation actually imperative, meaning that calling that function actually performs the put operation. No need for the.res()
call anymore.Provide configuration options with an optional parameter, in this case a
PutOptions
parameter:Example:
var putOptions = new PutOptions(); putOptions.setCongestionControl(CongestionControl.BLOCK); putOptions.setPriority(Priority.REALTIME); //... session.put(keyExpr, payload, putOptions); // triggers the put
If not provided, the default configuration is used:
session.put(keyExpr, payload);
Session opening
Session.open(config: Config)
has now been replaced with Zenoh.open(config: Config)
.
Encoding rework
The Encoding
class has been modified. In 0.11.0. it had the signature
class Encoding(val knownEncoding: KnownEncoding, val suffix: String = "")
where KnownEncoding
was an enum.
In 0.11.0. an encoding instance would be created as follows:
var encoding = new Encoding(KnownEncoding.TEXT_JSON)
In 1.0.0. we have implemented the following changes:
KnownEncoding
enum is removed, instead we provide staticEncoding
instances containing an ID and a description.- Custom encodings can be created
- The list of pre-defined encodings has been expanded.
In 1.0.0. the previous example would instead now become:
var encoding = Encoding.TEXT_JSON
Session-managed declarations
Up until 0.11.0, it was up to the user to keep track of their variable declarations to keep them alive, because once the variable declarations were garbage collected, the declarations were closed. This was because each Kotlin variable declaration is associated with a native Rust instance, and in order to avoid leaking the memory of that Rust instance, it was necessary to free it upon dropping the declaration instance. However, this behavior could be counterintuitive, as users were expecting the declaration to keep running despite losing track of the reference to it.
In this release we introduce a change in which any session declaration is internally associated to the session from which it was declared. Users may want to keep a reference to the declaration in case they want to undeclare it earlier before the session is closed, otherwise, the declaration is kept alive.
For instance:
var keyExprA = KeyExp::tryFrom("A/B/C");
var subscriber = session.declareSubscriber(keyExprA, { sample -> System.out.println("Receiving sample on 'A/B/C': " + sample.getPayload() + ")") });
var keyExprB = KeyExpr::tryFrom("A/C/D");
session.declareSubscriber(keyExprB, { sample -> System.out.println("Receiving sample on 'A/C/D': " + sample.getPayload() + ")") }); // No variable is associated to the declared session, on 0.11.0 it would have been instantly dropped
Therfore, when receiving a ‘hello’ message on A/**
we would still see:
>> Receiving sample on 'A/B/C': hello
>> Receiving sample on 'A/C/D': hello
since both declarations are still alive.
Now the question is, for how long? What happens first, either when:
- you call
undeclare()
orclose()
to the declaration - the session is closed, then all the associated declarations are automatically undeclared.
Key Expression rework
KeyExpr instances are not bound to a native key expression anymore, unless they are declared from a session. It is safe to drop the reference to the key expression instance, but the memory management associated to a key expression will differ:
- If the KeyExpr was not declared from a session, then the garbage collector simply claims back the memory.
- If it was declared from a session, then the session keeps track of it and frees the native memory upon closing the session.
Declaring a KeyExpr on a session results in better performance, since the session is informed that we intend to use a key expression repeatedly. We also associate a native key expression to a Kotlin key expression instance, avoiding copies.
Config loading
When opening a session, it’s now mandatory to provide a configuration to the session, even for a default config:
var config = Config.loadDefault();
var session = Zenoh.open(config);
The Config
class has been modified
Config.loadDefault(): Config
: returns the default configConfig.fromFile(file: File): Config
: allows to load a config file.Config.fromPath(path: Path): Config
: allows to load a config file from a path.Config.fromJson(json: String): Config
: loads the config from a string literal with json formatConfig.fromJson5(json5: String): Config
: loads the config from a string literal with json5 formatConfig.fromYaml(yaml: String): Config
: loads the config from a string literal with yaml formatConfig.fromJsonElement(jsonElement: JsonElement): Config
: loads the config from a kotlin JsonElement.
In case of failure loading the config, an exception is thrown.
Packages rework
The package structure of the API is now aligned with Zenoh Rust package structure.
Changes:
- Removing the “prelude” package
- QoS package now contains:
CongestionCOntrol
Priority
Reliability
QoS
- Bytes package is created with:
ZBytes
,IntoZBytes
,Encoding
- Config package:
Config
,ZenohId
- Session package:
SessionInfo
- Query package:
- contains
Query
andQueryable
- removing queryable package
- contains
Reliability
The Reliability
config parameter used on when declaring a subscriber, has been moved. It now must be specified when declaring a Publisher
or when performing a Put
or a Delete
operation.
Logging
There are two main changes regarding logging, the interface and the mechanism.
Lets look at the following example, where we want to run the ZPub example with debug logging. On 1.0.0 we’ll do:
RUST_LOG=debug gradle ZPub
If we wanted to enable debug logging and tracing for some specific package, for instance zenoh::net::routing
, we’d do:
RUST_LOG=debug,zenoh::net::routing=trace gradle ZPub
However, this is not enabled by default. In order to enable logging, one of these newly provided functions must be called:
Zenoh.tryInitLogFromEnv();
and
Zenoh.initLogFromEnvOr(fallbackFilter: String);
This last function allows to programmatically specify the logs configuration if not provided as an environment variable.
ZBytes serialization / deserialization & replacement of Value
We have created a new abstraction with the name of ZBytes
. This class represents the bytes received through the Zenoh network. This new approach has the following implications:
Attachment
class is replaced byZBytes
.Value
is replaced by the combination ofZBytes
andEncoding
.- Replacing
ByteArray
to represent payloads
With ZBytes
we have also introduced a Serialization and Deserialization for convenient conversion between ZBytes
and Kotlin types.
Serialization & Deserialization
We can serialize primitive types into a ZBytes
instance, that is, converting the data into bytes processed by the zenoh network.
We’ll see that for serialization and deserialization, we need to create instances of ZSerializer
and ZDeserializer
respectively.
Primitive types
(De)Serialization is supported by the following primitive types:
- Numeric:
Byte
,Short
,Integer
,Long
,Float
, andDouble
String
ByteArray
For instance:
Integer input = 123456;
ZSerializer<Integer> serializer = new ZSerializer<>() {};
ZBytes zbytes = serializer.serialize(input);
ZDeserializer<Integer> deserializer = new ZDeserializer<>() {};
Integer output = deserializer.deserialize(zbytes);
assert input.equals(output);
This approach works as well for the other aforementioned types.
For serialization, String
and ByteArray
the functions ZBytes::from(string: String)
and ZBytes::from(bytes: ByteArray)
can be used respectively. Analogously, deserialization, ZBytes::toString()
and ZBytes::toByteArray()
can be used.
For instance:
var exampleString = "example string";
var zbytes = ZBytes.from(exampleString);
var output = zbytes.toString();
assert exampleString.equals(output);
Lists
Lists are supported, but they must be either:
- List of numeric types : (
Byte
,Short
,Int
,Long
,Float
,Double
) - List of
String
- List of
ByteArray
- List of another supported type
The serialize syntax must be used:
List<Integer> input = List.of(1, 2, 3, 4, 5);
ZSerializer<List<Integer>> serializer = new ZSerializer<>() {};
ZBytes zbytes = serializer.serialize(input);
ZDeserializer<List<Integer>> deserializer = new ZDeserializer<>() {};
List<Integer> output = deserializer.deserialize(zbytes);
assert input.equals(output);
Maps
Maps are supported as well, with the restriction that their inner types must supported primitives:
- Numeric types
String
ByteArray
- Map of another supported types
Map<String, Integer> input = Map.of("one", 1, "two", 2, "three", 3);
ZSerializer<Map<String, Integer>> serializer = new ZSerializer<>() {};
ZBytes zbytes = serializer.serialize(input);
ZDeserializer<Map<String, Integer>> deserializer = new ZDeserializer<>() {};
Map<String, Integer> output = deserializer.deserialize(zbytes);
assert input.equals(output);
Parameterized types combinations
Combinations of all the above types is supported. For instance:
- List of lists
List<List<Integer>> input = List.of(List.of(1, 2, 3));
ZSerializer<List<List<Integer>>> serializer = new ZSerializer<>() {};
ZBytes zbytes = serializer.serialize(input);
ZDeserializer<List<List<Integer>>> deserializer = new ZDeserializer<>() {};
List<List<Integer>> output = deserializer.deserialize(zbytes18);
assert input.equals(output);
- List of maps
List<Map<String, Integer>> input = List.of(Map.of("a", 1, "b", 2));
ZSerializer<List<Map<String, Integer>>> serializer = new ZSerializer<>() {};
ZBytes zbytes = serializer.serialize(input);
ZDeserializer<List<Map<String, Integer>>> deserializer = new ZDeserializer<>() {};
List<Map<String, Integer>> output = deserializer.deserialize(zbytes);
assert input.equals(output);