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Generating the Samza API whitelist
In order to load the Samza API classes from the API classloader, we need to tell cytodynamics what those classes are. We can do this by providing a whitelist of packages/classes when building the cytodynamics classloader. All public interfaces/classes inside of samza-api should be considered an API class. One way to generate this whitelist is to use a Gradle task to find all the classes from samza-api and put that list in a file. Then, that file can be read by Samza when constructing the cytodynamics classloader. The Gradle task should also include classes from samza-kv.
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Handling SamzaApplication.describe
The infrastructure classloader will include the concrete descriptors, and we will build an additional application classloader which can delegate to the infrastructure classloader when running describe.Since the application code is calling the descriptors directly, then the application classloader SamzaApplication.describe method needs to be able to delegate to the infrastructure classloader. However, we do not want to delegate for every class. We only want to delegate for certain framework for certain concrete descriptor components (e.g. system descriptors, serdes). We don't want to delegate for application dependencies or classes which are only implemented by the application.
Flow for loading a class from the additional application classloader for SamzaApplication.describe:
- If a class is a Samza API class, then load it from the API classloader.
- If the class is on the infrastructure classpath and it is in the infrastructure whitelist (e.g. descriptor), load it from the infrastructure classloader.
- If the class is on the application classpath, load it from the application classloader.
- ClassNotFoundException
A consequence of this structure is that there are "multiple" application classloaders on the job coordinator: one in this describe flow and the one described above at "Application" classloader. Therefore, any classes loaded by one of the application classloaders cannot be used by the classes of the other application classloader. An example of when this could happen is in the low-level API. The application's TaskFactory implementation will be loaded by the application classloader described above, but the Kafka events deserialized into Avro objects will be loaded by the other application classloader. Even though the Avro objects are the same class (even associated with the same binary), the TaskFactory implementation won't be able to use the Avro objects since a different classloader instance was used. We can solve this by serializing the components specified through the descriptor and deserializing those components using the classloader that is used for the rest of the AM. This is consistent with the strategy to be able to serialize the whole job description. The interfaces have already been marked as Serializable.
Pros
- API classloader stays simpler
- Allows application to delegate to infrastructure for describe, and infrastructure to delegate to application for processing
Cons
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- Includes having multiple classloaders associated with the same application classpath
table functions). The framework descriptor components will be added as part of the framework API whitelist which will be checked when loading classes in the application classloader, so that the application classloader will delegate to the framework API classloader for framework descriptors. The descriptors are used to generate configs through the descriptor API classes, so concrete framework descriptors and custom descriptors will both work.
Table functions get serialized into configs by the table descriptors that they are contained in. They only need to be deserialized for processing logic, so the job coordinator does not need to deserialize them. On the processing containers, they can get deserialized using the framework infrastructure classloader, so that they can access application classes (e.g. schemas) if necessary. The infrastructure classloader will not delegate to the API classloader for the concrete descriptors.
Flow for loading a class from the application classloader:
- If a class is a framework API class, load it from the framework API classloader.
- If a class is a framework descriptor class, load it from the framework API classloader.
- Load the class from the application classpath.
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Classloader wiring
By using the special classloader to instantiate the "main" class, any dependencies will then be loaded using that classloader. Then Java will automatically propagate the special classloader through the rest of Samza. We can modify the "main" method to use reflection to load the "main" class and then trigger the actual Samza startup.
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public static void main(String[] args) { ClassLoader isolatingClassLoader = buildIsolatingClassLoader(); Class<?> isolatedClass = Class.forName(MainClass.class.getName(), true, isolatingClassLoader); isolatedClass.getDeclaredMethod("doMain").invoke(null); } |
Pros
- Cytodynamics provides an explicit and granular way to specify if a class should be from the parent classpath (i.e. API)
- Classloader propagation allows the correct external dependencies to be used, even if infrastructure and the application use different versions of the same dependency
- Do not need to modify existing Samza API classes
- Do not need to explicitly wire classloader through Samza
Cons
- Need to ensure proper specification of Samza API classes
- Are there any classes that are not owned by Samza but are used as part of the Samza API? (e.g. java.lang)
- Need to generate separate classpaths for each classloader
- Multiple classloaders is not obvious, so certain assumptions are invalid (e.g. static variables are not shared across classloaders)
- Extra dependency for Samza
- Seems like a very lightweight dependency though
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The current working directory can be obtained from System.getProperty("user.dir"), and we can find the separate JAR directories from there in code. We can also generate the classpaths in code by finding all of the JAR files in a given directory.
Pros
- Easier to localize Samza infrastructure on its own, since it is separate from applications
- Evolves well into general split deployment, since can just localize different Samza packages to do an upgrade
- Leverages existing flow for localizing JARs
- Samza infrastructure can define the full runtime package of JARs (including dependencies) at build time
Cons
- Need to ensure that framework packages has consistent versions with the version of Samza used within the application
- Need to localize artifacts to multiple places
- Not all jobs use all infrastructure plugins, so this would localize more JARs than necessary for each job
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For more context about why these changes are needed, see 135861549.
Pros
- Able to isolate log4j2 pluggable components built by Samza
- Can override Samza infrastructure logging configuration
Cons
- Samza ends up controlling log4j2 API version
- No support for isolation for log4j1 pluggable components, so existing apps would need to migrate to log4j2 to get isolation
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