如何在数据流中使用内存缓存? [英] How to use memcache in dataflow?

问题描述

我想在dafalow ParDo中使用Memcache吗?任何想法如何?我不能使用现有的memcahse lib，因为它们属于appengine并且不可序列化. 罗希特(Rohit)

I would like to use Memcache in dafalow ParDo? any ideas how?I can't use existing memcahse lib as they belong to appengine and are not serializable. Rohit

推荐答案

我的猜测是，您在DoFn类型的DoFn中有一个私有变量(如果我的猜测是错误的，请编辑您的问题以包括DoFn的代码).

My guess is, you have a private variable in your DoFn of type MemcacheServiceImpl (if my guess is wrong, please edit your question to include the code of your DoFn).

实际上，当您提交管道时，Dataflow会序列化您的DoFn，并在工作程序上反序列化它们.处理此问题的正确方法是使变量成为瞬态变量，并懒惰地对其进行初始化:

Indeed, Dataflow serializes your DoFn's when you submit the pipeline and de-serializes them on the workers. The proper way to handle this is to make the variable transient, and initialize it lazily:

class MyDoFn extends DoFn<..., ...> {
  private transient MemcacheService memcache;
  private MemcacheService getMemcache() {
    if (memcache == null) {
      memcache = MemcacheServiceFactory.getMemcacheService();
      ...
    }
  }

  public void process(...) {
    ...use getMemcache()...
  }
}

还要注意，要从非AppEngine环境访问AppEngine API(包括Memcache)，您应该使用远程API .

Also note that to access AppEngine APIs, including Memcache, from a non-AppEngine environment, you should use the Remote API.

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