Question

我有一个名为tblprocesstimekeeping的表，下面有以下数据：

假设我有一个日期范围 2019-05-01-2019-05-15

我想做的是在每个empCompID的tblprocesstimekeeper的数据中的给定范围之间插入缺失的日期。

这是我的代码：

$begin = new DateTime('2019-05-01'); // Get Begin Date
$end = new DateTime('2019-05-15'); // Get End Date
$end = $end->modify( '+1 day' ); // Increment +1 Day

$interval = new DateInterval('P1D');
$daterange = new DatePeriod($begin, $interval ,$end); // Get Date Range


foreach($daterange as $date){

    $dateNumber = $date->format("Y-m-d"); // counter date + 1 day

    //Select company access id and date from tblprocesstimekeeping
    $query = $this->db->query("SELECT * FROM tblprocesstimekeeping where companyAccessID = '$companyAccessID'");                
        foreach ($query->result() as $row){ 

            $empCompID = $row->empCompID;
            $date = $row->date;                     
            //echo $date .' = '. $empCompID.'<br>';

            if ($date == $dateNumber) {
                echo $date .' = '. $empCompID.' = GOOD <br>';
            } else{
                echo $dateNumber .' = '. $empCompID.' = NO DATA <br>';
            }




    }                   



}

输出应为：

2019-05-01 = 11007 - NO DATA
2019-05-01 = 20003 - NO DATA
2019-05-02 = 11007 - GOOD
2019-05-02 = 20003 - GOOD
2019-05-03 = 11007 - GOOD
2019-05-03 = 20003 - GOOD
2019-05-04 = 11007 - GOOD
2019-05-04 = 20003 - GOOD
2019-05-05 = 11007 - NO DATA
2019-05-05 = 20003 - NO DATA
2019-05-06 = 11007 - NO DATA
2019-05-06 = 20003 - GOOD
2019-05-07 = 11007 - GOOD
2019-05-07 = 20003 - GOOD
2019-05-08 = 11007 - GOOD
2019-05-08 = 20003 - GOOD
2019-05-09 = 11007 - GOOD
2019-05-09 = 20003 - GOOD
2019-05-10 = 11007 - GOOD
2019-05-10 = 20003 - GOOD
2019-05-11 = 11007 - GOOD
2019-05-11 = 20003 - GOOD
2019-05-12 = 11007 - NO DATA
2019-05-12 = 20003 - NO DATA
2019-05-13 = 11007 - NO DATA
2019-05-13 = 20003 - NO DATA
2019-05-14 = 11007 - GOOD
2019-05-14 = 20003 - GOOD
2019-05-15 = 11007 - GOOD
2019-05-15 = 20003 - GOOD

但是我却得到了以下输出：

2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-01 = 11007 = NO DATA 
2019-05-01 = 20003 = NO DATA 
2019-05-02 = 11007 = GOOD 
2019-05-02 = 20003 = GOOD 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-02 = 11007 = NO DATA 
2019-05-02 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = GOOD 
2019-05-03 = 20003 = GOOD 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-03 = 11007 = NO DATA 
2019-05-03 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = GOOD 
2019-05-04 = 20003 = GOOD 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-04 = 11007 = NO DATA 
2019-05-04 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-05 = 11007 = NO DATA 
2019-05-05 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 20003 = GOOD 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-06 = 11007 = NO DATA 
2019-05-06 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = GOOD 
2019-05-07 = 20003 = GOOD 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-07 = 11007 = NO DATA 
2019-05-07 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = GOOD 
2019-05-08 = 20003 = GOOD 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-08 = 11007 = NO DATA 
2019-05-08 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = GOOD 
2019-05-09 = 20003 = GOOD 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-09 = 11007 = NO DATA 
2019-05-09 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = GOOD 
2019-05-10 = 20003 = GOOD 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-10 = 11007 = NO DATA 
2019-05-10 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = GOOD 
2019-05-11 = 20003 = GOOD 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-11 = 11007 = NO DATA 
2019-05-11 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-12 = 11007 = NO DATA 
2019-05-12 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-13 = 11007 = NO DATA 
2019-05-13 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-14 = 11007 = GOOD 
2019-05-14 = 20003 = GOOD 
2019-05-14 = 11007 = NO DATA 
2019-05-14 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = NO DATA 
2019-05-15 = 20003 = NO DATA 
2019-05-15 = 11007 = GOOD 
2019-05-15 = 20003 = GOOD

编辑：

如果我将查询更改为此

SELECT * FROM tblprocesstimekeeping where companyAccessID = '$companyAccessID' and date='$dateNumber'

它仅显示以下输出：

2019-05-02 = 11007 = GOOD 
2019-05-02 = 20003 = GOOD 
2019-05-03 = 11007 = GOOD 
2019-05-03 = 20003 = GOOD 
2019-05-04 = 11007 = GOOD 
2019-05-04 = 20003 = GOOD 
2019-05-06 = 20003 = GOOD 
2019-05-07 = 11007 = GOOD 
2019-05-07 = 20003 = GOOD 
2019-05-08 = 11007 = GOOD 
2019-05-08 = 20003 = GOOD 
2019-05-09 = 11007 = GOOD 
2019-05-09 = 20003 = GOOD 
2019-05-10 = 11007 = GOOD 
2019-05-10 = 20003 = GOOD 
2019-05-11 = 11007 = GOOD 
2019-05-11 = 20003 = GOOD 
2019-05-14 = 11007 = GOOD 
2019-05-14 = 20003 = GOOD 
2019-05-15 = 11007 = GOOD 
2019-05-15 = 20003 = GOOD

缺少的日期仍然没有显示。.

Answer 1

这是您的问题：您正在表中创建不存在的行。对于不在表中的日期，您将创建一个指示表中没有行的行。

这使此问题在您采用的方法上有些棘手。您可以构造一个复杂的MYSQL查询来处理此问题，也可以在PHP中对其进行处理。

更好的方法是每天遍历所有用户。

// List of all users to find
$users = ['11007', '20003'];

foreach ($daterange as $date) {
    // Get date in database format
    $dateNumber = $date->format("Y-m-d"); // counter date + 1 day

    // Go through all users
    foreach ($users as $user) {
        // Find all accesses for that user and day
        $query = $this->db->query("SELECT * FROM tblprocesstimekeeping WHERE companyAccessID = '$companyAccessID' AND empCompID = '$user' AND date = '$dateNumber'");

        // If there is a row, then paste it, otherwise past NO DATA
        if ($query->num_rows()) {
            echo $dateNumber.' = '.$user->id.' = GOOD <br>';
        } else {
            echo $dateNumber.' = '.$user->id.' = NO DATA <br>';
        }
    }
}

Answer 2

您的算法不正确。由于您没有按日期过滤表数据，因此对于日期范围内的每个日期，您都选择了tblprocesstimekeeping表中的所有行，并为所有行打印结果（这就是每个日期有21行的原因）。

我不熟悉php，因此我不会在此处发布代码，但这是我的建议：

首先，您需要知道员工的ID 您可以使用以下查询从数据库中获取它们：

“select distinct empCompId from FROM tblprocesstimekeeping where companyAccessID = '$companyAccessID'"

并为它们保存某种软件（也许在数组中）

然后，要完成您想要的操作，您将需要执行两次cicle

// first iterate by date
foreach($daterange as $date)
  // then, for each date iterate by employee
    foreach($employees as $empId){
     // check existance on record
     If (exists on data base)
        Echo ‘good’
    else
        echo ‘nodata’

对于“数据库中是否存在支票”，您只需更改查询即可按日期和日期过滤表数据

$query = $this->db->query("SELECT * FROM tblprocesstimekeeping where companyAccessID = '$companyAccessID' and date='$dateNumber'
 ");

但是您应该考虑到这一点：

您连续调用数据库的次数与日期范围内的日期一样。

如果可能的话，请考虑一种算法，该算法仅一次调用datadate ，并返回日期范围开头到结尾的所有数据（在foreach $ daterange子句之前）然后，您可以对数据进行简单过滤，以检查代码中特定日期的存在。

如果涉及的记录数量不是很高（这里只有21条记录），那么此解决方案的性能将会好得多

Answer 3

我考虑过您的问题，并且我认为有更好的解决方案。

创建一个存储过程（SP）来为您完成所有工作。

这将创建一个SP，该SP的参数将传递公司标识符，要显示的日期范围的开始日期和结束日期，并返回所需的结果（日期，employeeid和返回0的标记“ found”没有记录时，则没有tblprocesstimekeeper表；如果存在，则为1。

DELIMITER //

DROP PROCEDURE IF EXISTS myListing //

CREATE PROCEDURE myListing(companyId int, startdate date, endDate date)
BEGIN
  WITH RECURSIVE days(day) AS 
  (
    select startdate  UNION ALL 
    select DATE_ADD(day,INTERVAL 1 DAY) FROM days WHERE day<= endDate 
  )
  select days.day as date, Employees.Id as empCompId, case when Time.date IS NULL THEN 0 else 1 end as found
  FROM days
  cross join 
  (select distinct empCompId as Id from tblprocesstimekeeping where companyAccessID = companyId and date >= startdate and date <= endDate) AS Employees
  LEFT JOIN
  (select * from tblprocesstimekeeping where companyAccessID = companyId and date >= startdate and date <= endDate) AS Time on days.day = Time.date and Employees.Id = Time.empCompId
  order by days.day, Employees.Id;
END
//

DELIMITER ;

然后，您只需调用它即可传递所需的参数，然后遍历结果并根据找到的标志打印数据。

set @startdate  = '2019-05-01';
set @endDate  = '2019-05-15';
set @companyId = 1;

CALL myListing(@companyId, @startdate, @enddate);

Se DBfiddler here

在每个用户的给定日期范围内插入缺少的日期

3 个答案: