从 Azure 门户的 Cosmos 集合中删除文档

Deleting documents from a Cosmos collection from Azure portal

运行 以下存储过程导致零条记录被删除。

/**
 * A Cosmos DB stored procedure that bulk deletes documents for a given query.
 * Note: You may need to execute this stored procedure multiple times (depending whether the stored procedure is able to delete every document within the execution timeout limit).
 *
 * @function
 * @param {string} query - A query that provides the documents to be deleted (e.g. "SELECT c._self FROM c WHERE c.founded_year = 2008"). Note: For best performance, reduce the # of properties returned per document in the query to only what's required (e.g. prefer SELECT c._self over SELECT * )
 * @returns {Object.<number, boolean>} Returns an object with the two properties:
 *   deleted - contains a count of documents deleted
 *   continuation - a boolean whether you should execute the stored procedure again (true if there are more documents to delete; false otherwise).
 */
function bulkDeleteStoredProcedure(query) {
    var collection = getContext().getCollection();
    var collectionLink = collection.getSelfLink();
    var response = getContext().getResponse();
    var responseBody = {
        deleted: 0,
        continuation: true
    };
    
    console.log(query);

    // Validate input.
    if (!query) throw new Error("The query is undefined or null.");

    tryQueryAndDelete();

    // Recursively runs the query w/ support for continuation tokens.
    // Calls tryDelete(documents) as soon as the query returns documents.
    function tryQueryAndDelete(continuation) {
        var requestOptions = {continuation: continuation};

        var isAccepted = collection.queryDocuments(collectionLink, query, requestOptions, function (err, retrievedDocs, responseOptions) {
            if (err) throw err;
            
            console.log(retrievedDocs.length);

            if (retrievedDocs.length > 0) {
                // Begin deleting documents as soon as documents are returned form the query results.
                // tryDelete() resumes querying after deleting; no need to page through continuation tokens.
                //  - this is to prioritize writes over reads given timeout constraints.
                tryDelete(retrievedDocs);
            } else if (responseOptions.continuation) {
                // Else if the query came back empty, but with a continuation token; repeat the query w/ the token.
                tryQueryAndDelete(responseOptions.continuation);
            } else {
                // Else if there are no more documents and no continuation token - we are finished deleting documents.
                responseBody.continuation = false;
                response.setBody(responseBody);
            }
        });

        // If we hit execution bounds - return continuation: true.
        if (!isAccepted) {
            response.setBody(responseBody);
        }
    }

    // Recursively deletes documents passed in as an array argument.
    // Attempts to query for more on empty array.
    function tryDelete(documents) {
        if (documents.length > 0) {
            // Delete the first document in the array.
            var isAccepted = collection.deleteDocument(documents[0]._self, {}, function (err, responseOptions) {
                if (err) throw err;

                responseBody.deleted++;
                documents.shift();
                // Delete the next document in the array.
                tryDelete(documents);
            });

            // If we hit execution bounds - return continuation: true.
            if (!isAccepted) {
                response.setBody(responseBody);
            }
        } else {
            // If the document array is empty, query for more documents.
            tryQueryAndDelete();
        }
    }
}

retrievedDocs.length 始终为 0。这就是我调用过程的方式:

查询是 SELECT c._self FROM c WHERE c.type = 'ORDER'

我已经通过门户手动查询确认了上述查询 returns 结果。

此代码来自 this answer.

此存储过程永远无法批量删除记录。

您的容器按 /id 分区。这有效地将 Cosmos 变成了一个键值存储,每个分区一个文档。由于存储过程仅限于单个分区,因此此存储过程一次只能有效地删除一条记录,因此无法执行任何批量操作。

对该数据进行批量操作的唯一方法是将其复制到具有不同分区键的新容器中。