WebService使用总结

本文分享了在项目中通过WebService调用其他公司接口时遇到的Connection timeout、入参意义不明确及SOAP版本错误等问题,并提供了相应的解决方案,包括调整网络配置、请求参数文档的重要性以及正确设置WebService地址。

—前言—

最近在公司做项目,由于业务需要,经常会通过WebService调用其他公司的接口,这其中遇到了一些典型的问题,拿出来与大家分享一下,希望对大家有用。


WebService定义

真是万事开头难,一开始做项目的时候就遇到了让人头疼的问题,我先列出遇到的一些典型问题:

  • 报出Connection timeout异常;
  • 调用接口,入参意义不明确;
  • 调用接口异常:org.apache.cxf.binding.soap.SoapFault: “http://schemas.xmlsoap.org/wsdl/“, the namespace on the “definitions” element, is not a valid SOAP version.

**

以上问题的解决方案:

**


问题一:

其他公司提供的WebService在浏览器中能访问,但是到了IDE中总是出现Connection timeout的异常,这个问题可耗了我不少时间。原因就在于,我们公司用的网是内网,然后通过代理服务器连接到公网,而其他公司提供的WebService地址又刚好给的是80端口,代理服务器在其中作祟,最后换了网就把异常的问题解决了。


问题二:

调用别人的接口时,用wsdl生成java代码(Apache CXF ),类中如果没有注释,一定要向开发人员要一份开发接口文档,不然会因为不明确入参意义而耗费大量时间来处理异常问题以及错误信息。


问题三:

出现the namespace on the “definitions” element, is not a valid SOAP version. 异常原因主要是因为设置的setAddress()有问题,在设置地址时,不要在地址后加”?wsdl“!!!


以上的问题是我在开发中遇到的一些问题,如果有不同意见,欢迎大家与我交流。

### Queue Buffer Implementation and Issues in IT Context In the context of information technology, queue buffers are essential components used to manage data flow between different parts of a system or network. A queue buffer typically stores incoming data temporarily before processing it further. Below is an overview of key concepts related to queue buffer implementations and potential issues. #### Key Concepts of Queue Buffers A queue buffer operates based on the First-In-First-Out (FIFO) principle where elements added first are processed first[^4]. In many systems, such as operating systems, databases, networking stacks, and distributed computing environments, queues play critical roles: 1. **Operating System Queues**: Operating systems use kernel-level queues for managing tasks like disk I/O operations. When performing non-overlapped I/O, threads may block when accessing shared resources through these queues[^1]. 2. **Networking Stacks**: Network devices employ packet queues at various layers (e.g., TCP/IP stack). These ensure smooth transmission even under high load conditions but require careful tuning to avoid congestion[^5]. 3. **Message Brokers**: Middleware solutions like RabbitMQ, Kafka rely heavily upon internal message queues which act as temporary storage areas during asynchronous communication among services within microservices architectures[^6]. #### Common Challenges With Queue Buffers Despite their utility, there exist several challenges associated with implementing effective queue buffering mechanisms including: 1. **Buffer Overflow & Underflow** - Occurs when more items arrive than can fit into available space leading either lossy behavior discarding excess entries ("overflow") or inability retrieve anything due insufficient supply("underflow")[^7][^8]. 2. **Thread Synchronization Problems** - As mentioned earlier regarding overlapped vs non-overlapped IO models , improper handling could result deadlocks wherein multiple concurrent processes compete over same resource causing indefinite wait states unless proper serialization enforced via mutexes etc.[^1] 3. **Performance Bottlenecks** - Excessive locking/unlocking actions required maintaining consistency across multi-threaded scenarios might degrade overall throughput especially large scale deployments involving numerous simultaneous connections . Additionally excessive memory usage resulting constant reallocation/resizing dynamic arrays backing circular buffers also contributes latency penalties [^9]. 4. **Memory Management Concerns** Similar considerations apply here too concerning efficient utilization heap allocated regions holding queued entities throughout lifecycle application execution period just alike profiling go lang apps discussed second reference material provided initially [^2]. ```java // Example Java Code Demonstrating Simple Circular Buffer Implementation Using ArrayDeque Class import java.util.ArrayDeque; public class CircularQueue<T> { private final ArrayDeque<T> deque; public CircularQueue(int capacity){ this.deque=new ArrayDeque<>(capacity); } synchronized void enqueue(T item)throws IllegalStateException{ if(!deque.offer(item)){ throw new IllegalStateException("Queue Full"); } } synchronized T dequeue()throws NoSuchElementException{ return deque.poll(); } } ```
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