te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数 大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数 大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>In Azure Data Factory how to convert JSON array of Key values to JSON object - Stack Overflow

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    In Azure Data Factory how to convert JSON array of Key values to JSON object - Stack Overflow

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    I am working on an Azure Cosmos DB migration where I need to transform the structure of documents in the "Notes" container. While I have identified most of the migration steps, I am currently facing a challenge with structural conversion and parsing of a JSON array field inside Azure Data Factory (ADF) Data Flow.

    Problem Context: I need to convert the "NoteDetails" array field from the original document format to a new normalized structure. The transformation involves flattening the array and restructuring it into a key-value format within a new field called "NormalizedNoteDetails".

    Original Document (Current Cosmos DB Structure):

    {
    "id": "123",
    "ownerId" : "1234",
    "noteCategory" : "somecategory",
    "NoteDetails": [
    {
      "Key": "PropertyNameKey1",
      "Value": ["prop1of1", "prop2of1"]
    },
    {
      "Key": "PropertyNameKey2",
      "Value": ["prop1of2", "prop2of2"]
    }]
}

    Expected Transformed Structure (Target Format in Cosmos DB):

    {
    "id": "123",
    "ownerId" : "1234",
    "noteCategory" : "somecategory",
    "normalizedNoteDetails": {
      "PropertyNameKey1": ["prop1of1", "prop2of1"],
      "PropertyNameKey2": ["prop1of2", "prop2of2"]
    }
}

    Specific Question: How can I efficiently parse and transform the "NoteDetails" JSON array field inside an ADF Data Flow activity to achieve the new structure? I have tried flatten and pivot with no success but I am newbie to the ADF. A concrete example would help me tremendously.

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