Скачать или смотреть Resolving java.lang.VerifyError: Operand stack overflow with Google Ads API in Spark

A detailed guide on how to troubleshoot and fix the `java.lang.VerifyError: Operand stack overflow` error when migrating to the Google Ads API with Apache Spark. Learn about dependency conflicts and effective strategies to resolve them.
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Resolving java.lang.VerifyError: Operand stack overflow with Google Ads API in Spark

When working with the Google Ads API, particularly during a migration from the older AdWords API to the latest version, one might encounter complex dependency issues that can lead to various errors, including the dreaded java.lang.VerifyError: Operand stack overflow. This guide aims to shed light on the common causes behind this issue and how to effectively resolve it in your Spark environment.

The Problem: Understanding the Error

As outlined by a recent query, developers have faced challenges migrating to the Google Ads v10 API in Spark 3.1.1 when using Amazon EMR. The initial error was a dependency conflict related to the Protobuf jar, which was resolved by shading the jar and creating an uber-jar. However, the subsequent execution of the jar led to more complications, evidenced by the java.lang.VerifyError: Operand stack overflow message.

This error generally indicates that there’s an issue with how the bytecode is processed during the runtime, often a result of conflicts between different versions of libraries loaded in the classpath.

Specific Errors Encountered

Initially, the developer faced:

IllegalAccessError: Related to access restrictions on Protobuf fields.

ProviderNotFoundException: Indicating missing functional channel service providers (like grpc-okhttp or grpc-netty).

Finally, the VerifyError itself, indicating significant stack overflow errors regarding the gRPC library.

The Solution: Updating Assembly Merge Strategy

To address the java.lang.VerifyError: Operand stack overflow, one effective approach is to adjust the assembly merge strategy in the sbt build configuration. This can help in resolving conflicts that may arise between library versions, particularly when using libraries like io.netty, which is commonly involved in such errors.

Step-by-Step Guide to Modify the Merge Strategy

Open your build.sbt file and locate the assemblyMergeStrategy settings.

Update the merge strategy as follows:

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This adjustment tells the assembly tool to ignore specific conflict scenarios that may arise from the Netty library. By doing this, you can potentially prevent the stack overflow error and maintain the integrity of your executable JAR.

Rebuild your project and give it another shot. This process should provide clarity on whether you’ve successfully resolved the conflicts.

Additional Tips for Dependency Management

While updating your assembly merge strategy is crucial, consider the following tips to manage your dependencies effectively:

Audit Your Dependencies: Ensure that you’re not unintentionally including multiple versions of the same library. Use tools like sbt-dependency-graph to visualize dependencies.

Explicit Exclusions: As shown in the original query, utilize the excludeAll method in your dependencies to mitigate conflicts strategically.

Version Consistency: Stick to compatible versions of libraries, especially when dealing with critical packages like Protocol Buffers and gRPC.

Utilize Environments: Test your changes in a local environment first before deploying to EMR. This step can help iteratively fix issues without lengthy deployment cycles.

Conclusion

Although the migration to the Google Ads API can present its share of challenges, particularly concerning dependency management in Spark applications, understanding errors like java.lang.VerifyError: Operand stack overflow can significantly ease the resolution process. With the right changes to your assembly merge strategy and diligent management of y