如何有效率地提取嵌套字典和列表中特定鍵的值？

Finding Occurrences of Keys in Nested Dictionaries and Lists

In complex nested data structures, extracting specific key values can be a challenging task. This is where identifying the best approach is crucial for efficient retrieval.

Consider a dictionary containing nested lists and dictionaries of varying depths. For example, the following dictionary represents a complex hierarchy:

{
    "id": "abcde",
    "key1": "blah",
    "key2": "blah blah",
    "nestedlist": [
        {
            "id": "qwerty",
            "nestednestedlist": [
                {
                    "id": "xyz",
                    "keyA": "blah blah blah"
                },
                {
                    "id": "fghi",
                    "keyZ": "blah blah blah"
                }
            ],
            "anothernestednestedlist": [
                {
                    "id": "asdf",
                    "keyQ": "blah blah"
                },
                {
                    "id": "yuiop",
                    "keyW": "blah"
                }
            }
        }
    ]
}

The goal is to extract the values of every "id" key within this structure, resulting in the output:

["abcde", "qwerty", "xyz", "fghi", "asdf", "yuiop"]

Numerous approaches have been proposed for this task:

Recursive Generator Function:

Utilizing a recursive generator function like gen_dict_extract allows for efficient traversal through nested structures. It checks for the presence of the target key and recursively iterates through nested dictionaries and lists.

Item Iterators:

Leveraging Python's iteritems or items method to iterate over dictionaries can provide a simple and effective way to search for keys.

Depth-First Search:

Using a depth-first search algorithm, one can recursively descend through the nested structures, capturing the values of the target key at each level.

Path Query:

Adapting the concept of XPath for traversing XML documents, custom functions like fun or keyHole can be developed to facilitate targeted key extraction.

Benchmarking:

By comparing the performance of various functions with complex data structures like the sample dictionary, it can be determined that gen_dict_extract consistently exhibits the fastest execution time. Its recursive nature allows for efficient traversal and the checking of variable types, ensuring compatibility with different data types during recursion.

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