MongoDB · January 2, 2024

How to fix MongoDB Error Code - 15 - Overflow

How to Fix MongoDB Error Code - 15 - Overflow

MongoDB is a popular open-source NoSQL database that offers high performance, scalability, and flexibility. However, like any other software, it can encounter errors that need to be addressed. One such error is MongoDB Error Code - 15 - Overflow. In this article, we will explore the causes of this error and provide solutions to fix it.

Understanding MongoDB Error Code - 15 - Overflow

MongoDB Error Code - 15 - Overflow occurs when a numeric value exceeds the maximum limit that can be stored in a field. This error is commonly encountered when performing mathematical operations or when inserting/updating documents with numeric values.

When this error occurs, MongoDB throws an exception with an error message similar to:

WriteError({
  "code" : 15,
  "errmsg" : "Overflow sort stage buffered data usage of 33554434 bytes exceeds internal limit of 33554432 bytes",
  "op" : {
    "opType" : "sort",
    "inputStage" : {
      "stage" : "SORT_KEY_GENERATOR",
      "nReturned" : 0,
      "executionTimeMillisEstimate" : 0,
      "works" : 1,
      "advanced" : 0,
      "needTime" : 0,
      "needYield" : 0,
      "saveState" : 0,
      "restoreState" : 0,
      "isEOF" : 1,
      "invalidates" : 0,
      "sortPattern" : {
        
      }
    }
  }
})

Causes of MongoDB Error Code - 15 - Overflow

There are several reasons why you might encounter MongoDB Error Code - 15 - Overflow:

  • Large Numeric Values: If you are working with numeric values that exceed the maximum limit of the data type, MongoDB will throw this error.
  • Aggregation Pipeline: The error can occur when using the aggregation framework and performing operations like sorting or grouping on large datasets.
  • Index Size: If the index size exceeds the maximum limit, MongoDB may encounter this error when performing operations that involve the index.

Fixing MongoDB Error Code - 15 - Overflow

To fix MongoDB Error Code - 15 - Overflow, you can follow these solutions:

1. Check Numeric Values

Review the numeric values in your documents and ensure they do not exceed the maximum limit of the data type. If necessary, consider using a larger data type to accommodate larger values.

2. Optimize Aggregation Pipeline

If the error occurs during aggregation pipeline operations, optimize your pipeline to reduce memory usage. You can use techniques like $match and $limit to filter and reduce the dataset before performing expensive operations like sorting or grouping.

3. Reduce Index Size

If the error is related to index size, consider reducing the size of your indexes. You can remove unnecessary fields from the index or use compound indexes to combine multiple fields into a single index.

4. Increase Internal Limit

If none of the above solutions work, you can try increasing the internal limit for the specific operation that triggers the error. However, this should be done with caution, as it may have implications on memory usage and performance.

Summary

MongoDB Error Code - 15 - Overflow occurs when a numeric value exceeds the maximum limit that can be stored in a field. To fix this error, you need to review your numeric values, optimize aggregation pipeline operations, reduce index size, or increase the internal limit. If you encounter this error, consider following these solutions to ensure smooth operation of your MongoDB database.

For reliable and high-performance VPS hosting solutions, consider Server.HK. Our hosting services are designed to meet the needs of businesses of all sizes, providing excellent performance and scalability.

You may also like...