Java Error: Stream Close Error, How to Fix and Avoid

Java Error: Stream closing error, how to solve and avoid

In Java development, streams are used when processing files, networks and other resource operations: input streams and output streams. After use, we need to close the used stream resources. However, failure to properly close resources such as file streams may lead to various errors, the most common of which is stream closing errors. This article will explain the cause of the stream closing error, how to fix it, and how to avoid it from happening.

Cause of stream closing error

In Java, a stream must be closed after use. This is accomplished by calling the close() method of the stream object. If streams are not closed, they may remain open, causing some problems. In particular, if these streams are opened at some point but not closed, they may consume too much computer resources in subsequent executions, which can lead to application resource leaks, causing the application to crash and run slowly. Or other strange problems occur. Therefore, stream closing errors may have a huge impact on the normal operation of the application.

There is another common type of stream closing error, which is trying to call the close() method on a stream that cannot be used. This may cause Java to throw an uncaught exception. This is because the stream has been closed and cannot be used again. Closing it again will cause an error.

How to solve stream closing errors

Usually, stream closing errors cause Cannot invoke method on a closed object exception. This indicates that an operation was attempted on a stream that has already been closed, which will result in a stream closing error. A common way to resolve stream closing errors is to call the close() method to close the stream after you have finished using it. This ensures that the stream is closed when the stream object goes out of scope, thus avoiding stream resource leaks.

If you use the try-with-resources statement block to manage resources such as file streams, Java will automatically release them after the code is executed. This code block will automatically close the stream resource. Even if an exception occurs, it will not affect the healthy operation of the program. The sample code is as follows:

try (FileInputStream inputStream = new FileInputStream("example.txt")) {
   // 执行相关的文件读取操作
} catch (IOException e) {
   // 处理 IO 异常
}

Using the above code block, regardless of whether the try code block exits normally, it will be guaranteed to The inputStream resource is released before the code following the try statement block is executed.

How to avoid stream closing errors

To avoid stream closing errors, you need to develop good programming habits and close open streams in a timely manner. Or use a try-with-resources block to automatically manage resources.

There are some common best practices when it comes to handling stream closing errors:

1. Follow the DRY principle, reuse code as much as possible, and reduce the number of lines with duplicate code. This can help maintain code consistency and avoid missing some streams when closing them.
2. Before writing code, first determine which stream resources need to be used and try to reduce the number of streams used. This can help see if there are serious problems with streams opened in the program.
3. Use the try-with-resources statement block to automatically manage resources, which can avoid missing certain errors due to manual closing of the stream.
4. Add fault-tolerance processing for stream resources. Even if you use try-with-resources blocks to automatically manage resources, it is still recommended to add fault tolerance to your code to handle stream closing errors.

Summary

Stream closing error is a common type of error in Java programming, which is easily caused by not closing the open stream resource. To avoid stream closing errors, it's best to always follow the DRY principle, reuse code, use as few stream resources as possible, and use best practices such as try-with-resources blocks to automatically manage resources. This adds fault tolerance to your code and prevents stream closing errors from becoming a bottleneck in your application.

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