[BUG]: Int Cannot Represent Non 32-bit Signed Integer Value

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[BUG]: Int cannot represent non 32-bit signed integer value

Overview

In this article, we will discuss a bug that occurs when using the Phoenix platform to handle large volumes of data. The bug is related to the inability of the Int scalar type to represent non-32-bit signed integer values. We will explore the error message, the stacktrace, and the possible solutions to this issue.

Error Message and Stacktrace

The error message is as follows:

graphql.error.graphql_error.GraphQLError: Int cannot represent non 32-bit signed integer value: 2743948010

The stacktrace is:

2025-04-25T18:47:54.400Z | Traceback (most recent call last): | Link
-- | -- | --
  |   | 2025-04-25T18:47:54.400Z | File "/phoenix/env/graphql/execution/execute.py", line 529, in await_result | Link
  |   | 2025-04-25T18:47:54.400Z | completed = self.complete_value( | Link
  |   | 2025-04-25T18:47:54.400Z | ^^^^^^^^^^^^^^^^^^^^ | Link
  |   | 2025-04-25T18:47:54.400Z | File "/phoenix/env/graphql/execution/execute.py", line 614, in complete_value | Link
  |   | 2025-04-25T18:47:54.400Z | completed = self.complete_value( | Link
  |   | 2025-04-25T18:47:54.400Z | ^^^^^^^^^^^^^^^^^^^^ | Link
  |   | 2025-04-25T18:47:54.400Z | File "/phoenix/env/graphql/execution/execute.py", line 641, in complete_value | Link
  |   | 2025-04-25T18:47:54.400Z | return self.complete_leaf_value(cast(GraphQLLeafType, return_type), result) | Link | return self.complete_leaf_value(cast(GraphQLLeafType, return_type), result)
  |   | 2025-04-25T18:47:54.400Z | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | Link | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  |   | 2025-04-25T18:47:54.400Z | File "/phoenix/env/graphql/execution/execute.py", line 776, in complete_leaf_value | Link
  |   | 2025-04-25T18:47:54.400Z | serialized_result = return_type.serialize(result) | Link | serialized_result = return_type.serialize(result)
  |   | 2025-04-25T18:47:54.400Z | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | Link
  |   | 2025-04-25T18:47:54.400Z | File "/phoenix/env/graphql/type/scalars.py", line 62, in serialize_int | Link
  |   | 2025-04-25T18:47:54.400Z | raise GraphQLError( | Link
  |   | 2025-04-25T18:47:54400Z | graphql.error.graphql_error.GraphQLError: Int cannot represent non 32-bit signed integer value: 2743948010 | Link | graphql.error.graphql_error.GraphQLError: Int cannot represent non 32-bit signed integer value: 2743948010

What Happened?

The error occurs when the Int scalar type is unable to represent a non-32-bit signed integer value. In this case, the value 2743948010 is too large to be represented by the Int type.

What Did You Expect to Happen?

We expected that the large volume application would be able to view the traces without any issues.

How Can We Reproduce the Bug?

To reproduce the bug, we need to generate a very large volume of traces. This can be done by creating a large number of test cases that push the limits of the Int type.

Possible Solutions

There are several possible solutions to this issue:

  1. Use a larger numeric type: Instead of using the Int type, we can use a larger numeric type such as BigInt or Decimal.
  2. Use a different scalar type: We can use a different scalar type such as Float or String to represent the value.
  3. Implement a custom scalar type: We can implement a custom scalar type that can handle large values.
  4. Increase the maximum value of the Int type: We can increase the maximum value of the Int type to accommodate larger values.

Conclusion

In conclusion, the bug occurs when the Int scalar type is unable to represent non-32-bit signed integer values. We can solve this issue by using a larger numeric type, a different scalar type, implementing a custom scalar type, or increasing the maximum value of the Int type.

Recommendations

Based on our analysis, we recommend using a larger numeric type such as BigInt or Decimal to represent large values. This will ensure that the application can handle large volumes of data without any issues.

Future Work

In the future, we plan to implement a custom scalar type that can handle large values. This will provide more flexibility and options for handling large data.

Additional Information

We will provide additional information on how to implement a custom scalar type in a future article.

References

Acknowledgments

We would like to thank the Phoenix community for their support and feedback. We would also like to thank the GraphQL community for their contributions to the GraphQL specification.
Q&A: [BUG]: Int cannot represent non 32-bit signed integer value

Q: What is the issue with the Int scalar type in Phoenix?

A: The issue is that the Int scalar type in Phoenix is unable to represent non-32-bit signed integer values. This means that any value that is larger than the maximum value that can be represented by a 32-bit signed integer will cause an error.

Q: What is the maximum value that can be represented by a 32-bit signed integer?

A: The maximum value that can be represented by a 32-bit signed integer is 2,147,483,647.

Q: What happens when a value larger than the maximum value is passed to the Int scalar type?

A: When a value larger than the maximum value is passed to the Int scalar type, a GraphQLError is raised with the message "Int cannot represent non 32-bit signed integer value".

Q: How can I fix this issue?

A: There are several ways to fix this issue:

  1. Use a larger numeric type: Instead of using the Int scalar type, you can use a larger numeric type such as BigInt or Decimal.
  2. Use a different scalar type: You can use a different scalar type such as Float or String to represent the value.
  3. Implement a custom scalar type: You can implement a custom scalar type that can handle large values.
  4. Increase the maximum value of the Int type: You can increase the maximum value of the Int type to accommodate larger values.

Q: What are the benefits of using a larger numeric type?

A: The benefits of using a larger numeric type include:

  • Increased precision: Larger numeric types can represent larger values with greater precision.
  • Improved performance: Larger numeric types can improve performance by reducing the number of operations required to represent large values.
  • Flexibility: Larger numeric types provide more flexibility in terms of the types of values that can be represented.

Q: What are the benefits of using a different scalar type?

A: The benefits of using a different scalar type include:

  • Increased flexibility: Different scalar types provide more flexibility in terms of the types of values that can be represented.
  • Improved performance: Different scalar types can improve performance by reducing the number of operations required to represent values.
  • Simplified code: Using different scalar types can simplify code by reducing the need for complex type conversions.

Q: What are the benefits of implementing a custom scalar type?

A: The benefits of implementing a custom scalar type include:

  • Increased flexibility: Custom scalar types provide more flexibility in terms of the types of values that can be represented.
  • Improved performance: Custom scalar types can improve performance by reducing the number of operations required to represent values.
  • Simplified code: Using custom scalar types can simplify code by reducing the need for complex type conversions.

Q: How can I implement a custom scalar type?

A: Implementing a custom scalar type involves creating a new class that inherits from the ScalarType class and implements the serialize and deserialize methods.

Q: What are the best practices for implementing a custom scalar type?

A: The best practices for implementing a custom scalar type include:

  • Use a clear and concise name: Use a clear and concise for the custom scalar type.
  • Implement the serialize and deserialize methods: Implement the serialize and deserialize methods to handle the conversion of values to and from the custom scalar type.
  • Test the custom scalar type: Test the custom scalar type to ensure that it works correctly.

Q: What are the common mistakes to avoid when implementing a custom scalar type?

A: The common mistakes to avoid when implementing a custom scalar type include:

  • Not implementing the serialize and deserialize methods: Failing to implement the serialize and deserialize methods can cause errors when converting values to and from the custom scalar type.
  • Not testing the custom scalar type: Failing to test the custom scalar type can cause errors when using the custom scalar type in production.
  • Not following best practices: Failing to follow best practices for implementing a custom scalar type can make the code harder to maintain and debug.