通過單個查詢從相關數據庫表中回顯嵌套的JSON數組？

Question

我有兩個數據庫表，其中包含有關土地合同的信息。 它們與land_contract_annual_price.land_contract_id > land_contract.land_contract_id 。

表'land_contract'

表“ land_contract_annual_price”

如果土地合同在land_contract_price_type字段中的值為“Rörligtpris”，則表land_contract_annual_price有相關的值。 目前，我正在執行兩個查詢，每個表一個。 然后，我合並結果並將土地合同顯示為嵌套的JSON數組，如下所示：

版本1

[  
 {  
  "land_contract_id":118,
  "land_contract_name":"Avtalsnamn",
  "location_id":71,
  "land_contract_link":"",
  "land_contract_notes":"",
  "land_owner_id":2,
  "land_contract_start_date":"2019-07-25",
  "land_contract_end_date":"2023-07-25",
  "land_contract_terminated":"false",
  "land_contract_payment_interval":"Halv\u00e5rsvis",
  "land_contract_price_type":"R\u00f6rligt \u00e5rspris",
  "land_contract_fixed_annual_price":null,
  "land_contract_annual_prices":[  
    {"year":1, "price":873.00},
    {"year":2, "price":77289.00},
    {"year":3, "price":8.00},
    {"year":4, "price":0.00},
    {"year":5, "price":8729.00}
  ]
 }
]

如果土地合同在land_contract_price_type字段中的值為“ Fast pris”，則表land_contract_annual_price中沒有相關的值。 在那種情況下，我會像這樣提交土地合同（末尾沒有額外的數組）：

版本2

[
 {
  "land_contract_id":13,
  "land_contract_name":null,
  "location_id":null,
  "land_contract_link":"https:\/\/www.something.com\/preview\/Sl%C3%A4pvdam%20Edda\/Kddal\/Bddkta\/Besika%20Markavtal%20%20Halmstad%202016-03-08.pdf?role=personal",
  "land_contract_notes":"",
  "land_owner_id":null,
  "land_contract_start_date":"2016-03-08",
  "land_contract_end_date":"2026-03-08",
  "land_contract_terminated":"true",
  "land_contract_payment_interval":"\u00c5rsvis",
  "land_contract_price_type":"Fast \u00e5rspris",
  "land_contract_fixed_annual_price":"6000.00"
 }
]

我沒有想到的是，當我獲取所有土地合同時，這種解決方案是不好的。 如果每當一份土地合同在land_contract_price_type字段中的值為“Rörligtpris”，我都會對另一個表進行第二次查詢，那么我將進行數百個額外的查詢。

當土地合同在land_contract_price_type字段中具有值“Rörligtpris”時，是否有一種方法可以使用一（1）個查詢來創建嵌套的JSON數組？

謝謝！

下面是我當前的代碼。

function read($pdo, $Id = null, $ResponseMessage = null) {

    $params = [];
    $array = [];

    $sql = "SELECT  lc.Id, lc.Name, lc.LocationId, l.Name AS LocationName, lc.Notes, lc.LandOwnerId, lo.Name AS LandOwnerName, lc.StartDate, lc.EndDate, lc.IsTerminated, lc.PaymentInterval, lc.PriceType, lc.FixedAnnualPrice, lc.Link, lc.Created, lc.Updated, lcap.AnnualPriceYear AS Year, lcap.AnnualPriceAmount AS Amount
            FROM LandContract lc
            LEFT JOIN Location l ON l.Id = lc.LocationId
            LEFT JOIN LandOwner lo ON lo.Id = lc.LandOwnerId
            LEFT JOIN LandContractAnnualPrice lcap ON lcap.LandContractId = lc.Id  
            ORDER BY lc.Id  DESC, lcap.AnnualPriceYear DESC
            ";
    if ($Id) {
        $sql .= 'WHERE lc.Id = ?';
        $params[] = $Id;
    }

    echo $sql;

    $stmt = $pdo->prepare($sql);
    $stmt->execute($params);
    while ($row = $stmt->fetch()) {
        // Fields we want to extract from the select statement into the array 
        $select_fields = ['Id', 'Name', 'LocationId', 'LocationName', 'Link', 'Notes', 'LandOwnerId', 'LandOwnerName',
                            'StartDate', 'EndDate', 'IsTerminated', 'PaymentInterval', 
                            'PriceType', 'FixedAnnualPrice ', 'Created', 'Updated'];

        if (!isset($array[$row['Id']])) {
            // initialize the subarray if it has not been set already 
            $array[$row['Id']] = array_intersect_key($row, array_flip($select_fields));

            if ($row['Year'] != null) {
                $array[$row['Id']]['AnnualPrices'] = [];
            } else {
                $array[$row['Id']]['AnnualPrice'] = $row['FixedAnnualPrice'];
            }
        }

        if ($row['Year'] != null) {
            $array[$row['Id']]['AnnualPrices'][] = ['Year' => $row['Year'], 'Amount' => $row['Amount']];
        }

    }

    if (empty($array)) {
        $ResponseMessage = new ResponseMessage();
        $ResponseMessage->Status = 'Error';
        $ResponseMessage->Message = 'No results';
        echo json_encode($ResponseMessage, JSON_UNESCAPED_UNICODE);
        exit;
    }

    $Response = array();

    if ($ResponseMessage) {
        $Response['Status'] = $ResponseMessage->Status;
        $Response['Message'] = $ResponseMessage->Message;
    }

    $Response['LandContracts'] = array_values($array);

    echo json_encode($Response, JSON_UNESCAPED_UNICODE);

    $stmt = null;
}

Answer 1

最好使用JOIN查詢，然后根據結果構造數組-在循環中進行查詢通常是一個非常糟糕的主意，並且可以使用JOIN指示符。

您想使用LEFT JOIN ，將它們加入兩個表的land_contract_id中。

然后循環您的結果，並構造您的數組，完成后就可以將其編碼為JSON字符串。

$params = [];
$array = [];

$sql = "SELECT lc.*, 
               py.land_contract_annual_price_year AS `year`,  
               py.land_contract_annual_price_amount AS `amount`
        FROM land_contract AS lc
        LEFT JOIN land_contract_annual_price AS py 
            ON py.land_contract_id = lc.land_contract_id
        ";
if (isset($_POST['land_contract_id'])) {
    $sql .= 'WHERE lc.land_contract_id = ?';
    $params[] = $_POST["land_contract_id"];
}

$stmt = $pdo->prepare($sql);
$stmt->execute($params);
while ($row = $stmt->fetch()) {
    // Fields we want to extract from the select statement into the array 
    $select_fields = ['land_contract_id', 'land_contract_name', 'location_id', 'land_contract_link', 'land_contract_notes', 'land_owner_id', 
                        'land_contract_start_date', 'land_contract_end_date', 'land_contract_terminated', 'land_contract_payment_interval', 
                        'land_contract_price_type', 'land_contract_fixed_annual_price '];

    if (!isset($array[$row['land_contract_id']])) {
        // initialize the subarray if it has not been set already 
        $array[$row['land_contract_id']] = array_intersect_key($row, array_flip($select_fields));

        if ($row['year'] != null) {
            $array[$row['land_contract_id']]['land_contract_annual_prices'] = [];
        } else {
            $array[$row['land_contract_id']]['land_contract_annual_price'] = $row['land_contract_fixed_annual_price'];
        }
    }

    if ($row['year'] != null) {
        $array[$row['land_contract_id']]['land_contract_annual_prices'][] = ['year' => $row['year'], 'amount' => $row['amount']];
    }

}

if (empty($array)) {
    echo "No results";
    exit;
}

echo json_encode($array, JSON_UNESCAPED_UNICODE);