Android 报错java.lang.0utOfMemoryError: Could not allocate JNI Env

这个错误通常是由于内存不足导致的。有几种可能的解决方案：

1. 增加 JVM 堆内存大小：可以通过在启动应用程序时添加 JVM 参数来增加堆内存大小，例如：-Xmx1024m（表示最大堆内存为1GB）。

2. 优化程序：检查代码中是否存在内存泄漏或者不必要的对象创建，避免频繁的对象创建和销毁，释放不必要的资源等等。

3. 使用本地方法：如果你的程序使用了 JNI，可以考虑使用本地方法来代替 Java 方法，这样可以减少对象的创建和销毁，达到优化内存的目的。

4. 降低应用程序的内存占用：可以考虑使用一些内存优化工具或者框架，例如：使用 Glide 而不是直接加载大图，使用 LruCache 缓存 Bitmap 等等。

希望这些解决方案可以帮助你解决这个问题。

相关问题

java.lang.OutOfMemoryError: Failed to allocate a 24 byte allocation with 8 free bytes and 8B until OOM, target footprint 268435456, growth limit 268435456 at java.lang.ThreadLocal.createMap(ThreadLocal.java:244) at java.lang.ThreadLocal.setInitialValue(ThreadLocal.java:186) at java.lang.ThreadLocal.get(ThreadLocal.java:170) at android.os.ThreadLocalWorkSource.getToken(ThreadLocalWorkSource.java:101) at android.os.ThreadLocalWorkSource.setUid(ThreadLocalWorkSource.java:67) at android.os.Binder.execTransact(Binder.java:1121)

这是一个 Java 的内存溢出错误。它的错误信息是“无法分配24字节的内存空间，目标占用空间为268435456，增长限制为268435456”。这个错误通常是由于程序占用的内存空间超过了 JVM 最大内存限制或者是程序中存在内存泄漏导致的。要解决这个问题，你可以尝试增加 JVM 的最大内存限制，或者对程序中可能存在的内存泄漏进行排查和修复。

com.alibaba.excel.exception.ExcelGenerateException: java.lang.OutOfMemoryError: GC overhead limit exceeded

The `com.alibaba.excel.exception.ExcelGenerateException` with the inner exception `java.lang.OutOfMemoryError: GC overhead limit exceeded` typically occurs when you are trying to generate an Excel file using the Alibaba Excel library (EExcel) in a Java application, and the JVM encounters a severe memory issue.

1. **Issue**: The `OutOfMemoryError: GC overhead limit exceeded` means that the garbage collector (GC) is unable to free up enough memory for the ongoing operation due to excessive memory usage or allocation. The 'GC overhead limit' refers to the threshold beyond which the time spent in garbage collection becomes too high, causing the application to stop processing new requests.

2. **Possible Causes**:
- Insufficient heap size: Your application might not have allocated enough memory for the task at hand, particularly when dealing with large datasets or complex formatting.
- Memory-intensive operations: Writing a large number of rows, cells, or applying heavy calculations may lead to this error.
- Memory leaks: If there are any unintentional leaks in your code where memory isn't being properly released, it can accumulate and eventually hit the limit.

3. **Solutions**:
- **Increase Heap Size**: You can try increasing the `-Xmx` flag in your `java` command-line options to allocate more memory for the JVM. However, be cautious as setting it too high might cause other problems if not managed properly.
- **Optimize memory usage**: Review your code for memory-intensive operations, consider caching or lazy loading data, and release resources when no longer needed.
- **Batch processing**: If possible, break down the generation process into smaller chunks or batches to reduce the memory footprint at any given time.
- **Use streaming APIs**: EExcel provides streaming APIs that can help reduce memory consumption by writing data one record at a time.