Question

似乎gae为模型分配了非常高的ID。当我下载我的实体时，我得到一些条目非常大的数字。这些都是首先自动生成的。将它们下载为csv是没有问题的。但删除现有数据并重新上传相同的数据会引发异常。

Exceeded maximum allocated IDs

跟踪：

Traceback (most recent call last):
  File "/opt/eclipse/plugins/org.python.pydev_2.7.5.2013052819/pysrc/pydevd.py", line 1397, in <module>
    debugger.run(setup['file'], None, None)
  File "/opt/eclipse/plugins/org.python.pydev_2.7.5.2013052819/pysrc/pydevd.py", line 1090, in run
    pydev_imports.execfile(file, globals, locals) #execute the script
  File "/home/kave/workspace/google_appengine/appcfg.py", line 171, in <module>
    run_file(__file__, globals())
  File "/home/kave/workspace/google_appengine/appcfg.py", line 167, in run_file
    execfile(script_path, globals_)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 4247, in <module>
    main(sys.argv)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 4238, in main
    result = AppCfgApp(argv).Run()
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 2396, in Run
    self.action(self)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 3973, in __call__
    return method()
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 3785, in PerformUpload
    run_fn(args)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/appcfg.py", line 3676, in RunBulkloader
    sys.exit(bulkloader.Run(arg_dict))
  File "/home/kave/workspace/google_appengine/google/appengine/tools/bulkloader.py", line 4379, in Run
    return _PerformBulkload(arg_dict)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/bulkloader.py", line 4244, in _PerformBulkload
    loader.finalize()
  File "/home/kave/workspace/google_appengine/google/appengine/ext/bulkload/bulkloader_config.py", line 384, in finalize
    self.increment_id(high_id_key)
  File "/home/kave/workspace/google_appengine/google/appengine/tools/bulkloader.py", line 1206, in IncrementId
    unused_start, end = datastore.AllocateIds(high_id_key, max=high_id_key.id())
  File "/home/kave/workspace/google_appengine/google/appengine/api/datastore.py", line 1965, in AllocateIds
    return AllocateIdsAsync(model_key, size, **kwargs).get_result()
  File "/home/kave/workspace/google_appengine/google/appengine/api/apiproxy_stub_map.py", line 612, in get_result
    return self.__get_result_hook(self)
  File "/home/kave/workspace/google_appengine/google/appengine/datastore/datastore_rpc.py", line 1863, in __allocate_ids_hook
    self.check_rpc_success(rpc)
  File "/home/kave/workspace/google_appengine/google/appengine/datastore/datastore_rpc.py", line 1236, in check_rpc_success
    raise _ToDatastoreError(err)
google.appengine.api.datastore_errors.BadRequestError: Exceeded maximum allocated IDs

通常我的身份证明在26002左右，但几天前的新身份证件与4948283361329150一样大。这些现在引起了问题。（如果我将它们更改为更低的值，它一切正常，但我没有首先生成这些ID）为什么GAE对自己生成的ID有这样的问题？

非常感谢

Answer 1

这是一个已知问题，已在1.8.2或更高版本的SDK中修复。

请注意，如果您对dev appserver使用bulkloader，那么这些SDK（1.8.2,1.8.3）很可能会针对该用例（请参阅appcfg-py-upload-data-fails-in-google-app-engine-sdk-1-8-2）而不是生产中存在单独的bulkloader问题。

GAE：超过最大分配ID

1 个答案: