根据站点日期创建数据透视表比较表 [英] Create a pivot comparison table based on site dates
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问题描述
我在mysql中有一个名为'sitetotals'的表，其结构和数据如下
sitetotals_id | sitetotals_date | sitetotals_site | sitetotals_total
1 | 2015-08-08 | siteA | 50
2 | 2015-08-08 | siteB | 40
3 | 2015-08-08 | siteC | 30
4 | 2015-08-08 | siteD | 20
5 | 2015-08-08 | siteE | 10
6 | 2015-08-01 | siteB | 3
7 | 2015-08-01 | siteC | 2
8 | 2015-08-01 | siteD | 1
这是我到目前为止的html表
site | 2015-08-08 | 2015-08-01
siteA | 50 |
siteB | 40 |
siteC | 30 |
siteD | 20 |
siteE | 10 |
我希望获得以下结果
site | 2015-08-08 | 2015-08-01
siteA | 50 | 0
siteB | 40 | 3
siteC | 30 | 2
siteD | 20 | 1
siteE | 10 | 0
以下是我当前的查询
<h2>GET LATEST DATE AND PREVIOUS DATE</h2>
<?php
$conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$stmt = $conn->prepare('SELECT * FROM sitetotals
ORDER BY sitetotals_wc DESC, sitetotals_total DESC
LIMIT 1');
$stmt->execute();
$row = $stmt->fetch(); // Use fetchAll() if you want all results
$date_raw = date('d-m-Y', strtotime($row['sitetotals_wc']));
echo $date_raw." | ".$date_raw7 = date('d-m-Y', strtotime('-7 day', strtotime($date_raw)));
?>
<h2>TABLE DATA</h2>
<?php
$conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$stmt = $conn->prepare('SELECT * FROM sitetotals
ORDER BY sitetotals_wc DESC, sitetotals_total DESC LIMIT 50');
$stmt->execute();
$result = $stmt->fetchAll();
echo "<table class='paginate'><tr><th>Date</th><th>Worst Site</th>
<th>".$date_raw."</th>
<th>".$date_raw7."</th>
</tr>\n";
foreach($result as $row) {
echo "<tr>";
echo "<td>".date_format($date=(date_create($row['sitetotals_wc'])),'d-m-Y')."</td>";
echo "<td>".$row['sitetotals_site']."</td>";
echo "<td>".$row['sitetotals_total']."</td>";
echo "<td> HERE IS WHERE THE ANSWER SHOULD GO </td>";
echo "</tr>\n";
}
echo "</table>\n";
?>
如果可能的话，我也希望能够通过 多个报告期
解决方案
动态日期日期调整
直接在mysql中
计划
- 构建日期维度[
dim_site_dates_v]包含有网站总计数据的所有日期段- 构建网站维度[
dim_sites_v]包含所有网站，网站中的数据总计- 设置要报告的期间数[
@num_periods]- 在报告期内加入日期和站点名称，并将摘要值写入表[
sites_summary_tmp]- 使用动态查询模板并在报告空间中循环以参数化查询
- 准备+执行查询
设置
create table sitetotals
(
sitetotals_id integer primary key not null,
sitetotals_date date not null,
sitetotals_site varchar(22) not null,
sitetotals_total integer not null
);
insert into sitetotals
( sitetotals_id, sitetotals_date, sitetotals_site, sitetotals_total )
values
(1 , '2015-08-08' , 'siteA' , 50 ),
(2 , '2015-08-08' , 'siteB' , 40 ),
(3 , '2015-08-08' , 'siteC' , 30 ),
(4 , '2015-08-08' , 'siteD' , 20 ),
(5 , '2015-08-08' , 'siteE' , 10 ),
(6 , '2015-08-01' , 'siteB' , 3 ),
(7 , '2015-08-01' , 'siteC' , 2 ),
(8 , '2015-08-01' , 'siteD' , 1 ),
(9 , '2015-08-01' , 'siteF' , 1 ),
(10 , '2015-07-25' , 'siteA' , 22 ),
(11 , '2015-07-25' , 'siteC' , 20 ),
(12 , '2015-07-25' , 'siteD' , 10 ),
(13 , '2015-07-25' , 'siteF' , 5 ),
(14 , '2015-07-18' , 'siteA' , 2 ),
(15 , '2015-07-18' , 'siteC' , 5 ),
(16 , '2015-07-18' , 'siteD' , 3 ),
(17 , '2015-07-18' , 'siteE' , 5 )
;
create view dim_sites_v
as
select distinct sitetotals_site
from sitetotals
;
create view dim_site_dates_v
as
select distinct sitetotals_date
from sitetotals
;
create table sites_summary_tmp
(
date_nmbr integer not null,
site_name varchar(22) not null,
total integer not null,
primary key ( date_nmbr, site_name )
);
set @num_periods := 4;
-- if you want to reuse this table, truncate/delete previous summary data first..
insert into sites_summary_tmp
( date_nmbr, site_name, total )
select dates.row_num, sites.sitetotals_site, coalesce(sd.sitetotals_total, 0) as total
from dim_sites_v sites
cross join
(
select sitetotals_date,
@row_num := @row_num + 1 as row_num
from dim_site_dates_v
cross join ( select @row_num := 0 ) as params
order by sitetotals_date desc
) dates
left join sitetotals sd
on sites.sitetotals_site = sd.sitetotals_site
and dates.sitetotals_date = sd.sitetotals_date
where dates.row_num <= @num_periods
;
-- set variables
-- @num_periods should only need to be set once
-- however sqlfiddle uses separate connection for
-- building schema and running sql. so it must be set in this connection
set @num_periods := 4;
set @join_template := ' inner join sites_summary_tmp prev#curr#
on prev#prev#.site_name = prev#curr#.site_name
and prev#prev#.date_nmbr = prev#curr#.date_nmbr - 1
';
set @field_template := '`#prev#nbr##`,';
set @field_alias_template := 'prev#nbr#.total as `#prev#nbr##`,';
-- pivot report can be generated by joining summary results to itself
-- for each date period. and dynamically aliasing the titles to the
-- reporting dates.
set @query := 'select site_name,
#select_fields#
from
(
select prev0.site_name,
#alias_fields#
from sites_summary_tmp prev0
#all_joins#
where prev0.date_nmbr = 1
) pivot
;'
;
查询
-- replace parameters in dynamic @query
select count(*)
from
(
select
@query := replace(@query, '#alias_fields#',
concat(replace(@field_alias_template, '#nbr#', dates.row_num), ' #alias_fields#')),
@query := replace(@query, '#select_fields#',
concat(replace(@field_template, '#nbr#', dates.row_num), ' #select_fields#')),
@query := replace(@query, concat('#prev', dates.row_num, '#'), sitetotals_date),
@query := if(dates.row_num < @num_periods - 1, replace(@query, '#all_joins#',
concat(replace(replace(@join_template, '#prev#', dates.row_num), '#curr#', dates.row_num + 1),
' #all_joins#')),
@query)
from
(
select sitetotals_date,
@row_num := @row_num + 1 as row_num
from dim_site_dates_v
cross join ( select @row_num := -1 ) as params
order by sitetotals_date desc
) dates
where dates.row_num < @num_periods
) suppress_output
into @ignore
;
set @query := replace(replace(replace(@query, '#all_joins#', ''), ', #alias_fields#', ' '), ', #select_fields#', ' ');
PREPARE dynamic_statement FROM @query;
EXECUTE dynamic_statement;
deallocate prepare dynamic_statement;
输出
+-----------+------------+------------+------------+------------+
| site_name | 2015-08-08 | 2015-08-01 | 2015-07-25 | 2015-07-18 |
+-----------+------------+------------+------------+------------+
| siteA | 50 | 0 | 22 | 2 |
| siteB | 40 | 3 | 0 | 0 |
| siteC | 30 | 2 | 20 | 5 |
| siteD | 20 | 1 | 10 | 3 |
| siteE | 10 | 0 | 0 | 5 |
| siteF | 0 | 1 | 5 | 0 |
+-----------+------------+------------+------------+------------+
使用php
计划
- 构建日期维度[
dim_site_dates_v]包含有网站总计数据的所有日期段- 构建网站维度[
dim_sites_v]包含所有网站，网站中的数据总计- 设置要报告的期间数[
@num_periods]- 在报告期内加入日期和站点名称，并按日期排序并将站点返回结果集到php
- php以日期字段为中心
php
<?php
/**
* Mysqli initial code
*
* User permissions of database
* Create, Alter and Index table, Create view, and Select, Insert, Update, Delete table data
*
* @package PhpFiddle
* @link http://phpfiddle.org
* @since 2012
*/
require "util/public_db_info.php";
$short_connect = new mysqli($host_name, $user_name, $pass_word, $database_name, $port);
$sql = "set @num_periods := 4";
$result = $short_connect->query($sql) or die(mysqli_error($short_connect));
$sql = "select dates.sitetotals_date, sites.sitetotals_site, coalesce(sd.sitetotals_total, 0) as total " .
"from dim_sites_v sites " .
"cross join " .
"( " .
"select sitetotals_date, " .
"@row_num := @row_num + 1 as row_num " .
"from dim_site_dates_v " .
"cross join ( select @row_num := 0 ) as params " .
"order by sitetotals_date desc " .
") dates " .
"left join sitetotals sd " .
"on sites.sitetotals_site = sd.sitetotals_site " .
"and dates.sitetotals_date = sd.sitetotals_date " .
"where dates.row_num <= @num_periods order by 1 desc,2";
$result = $short_connect->query($sql) or die(mysqli_error($short_connect));
$table = array();
$dates = array();
$sites = array();
if (($result) && ($result->num_rows > 0))
{
$results = array();
//convert query result into an associative array
while ($row = $result->fetch_assoc())
{
if(!in_array($row["sitetotals_date"], $dates))$dates[] = $row["sitetotals_date"];
if(!in_array($row["sitetotals_site"], $sites))$sites[] = $row["sitetotals_site"];
$table[$row["sitetotals_site"]][$row["sitetotals_date"]] = $row["total"];
}
$result->free();
}
echo "<table>";
echo "<tr><td>site_name</td>";
foreach($dates as $date)
{
echo "<td>" . $date . "</td>";
}
echo "</tr>";
foreach ($sites as $site)
{
echo "<tr><td>" . $site . "</td>";
foreach($dates as $date)
{
echo "<td>" . $table[$site][$date] . "</td>";
}
echo "</tr>";
}
echo "</table>";
$short_connect->close();
?>
输出
<table>
<tbody>
<tr>
<td>site_name</td>
<td>2015-08-08</td>
<td>2015-08-01</td>
<td>2015-07-25</td>
<td>2015-07-18</td>
</tr>
<tr>
<td>siteA</td>
<td>50</td>
<td>0</td>
<td>22</td>
<td>2</td>
</tr>
<tr>
<td>siteB</td>
<td>40</td>
<td>3</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>siteC</td>
<td>30</td>
<td>2</td>
<td>20</td>
<td>5</td>
</tr>
<tr>
<td>siteD</td>
<td>20</td>
<td>1</td>
<td>10</td>
<td>3</td>
</tr>
<tr>
<td>siteE</td>
<td>10</td>
<td>0</td>
<td>0</td>
<td>5</td>
</tr>
<tr>
<td>siteF</td>
<td>0</td>
<td>1</td>
<td>5</td>
<td>0</td>
</tr>
</tbody>
</table>
通过调整
@num_periods的值，两个解决方案都可以动态扩展报告期间的数量.如果@num_periods大于数据中的周期总数，则不会返回任何行.I have a single table called 'sitetotals' in mysql with the structure and data below
sitetotals_id | sitetotals_date | sitetotals_site | sitetotals_total
1 | 2015-08-08 | siteA | 50
2 | 2015-08-08 | siteB | 40
3 | 2015-08-08 | siteC | 30
4 | 2015-08-08 | siteD | 20
5 | 2015-08-08 | siteE | 10
6 | 2015-08-01 | siteB | 3
7 | 2015-08-01 | siteC | 2
8 | 2015-08-01 | siteD | 1
Here is what I have so far as a html table
site | 2015-08-08 | 2015-08-01
siteA | 50 |
siteB | 40 |
siteC | 30 |
siteD | 20 |
siteE | 10 |
What I am looking to achieve is the following result
site | 2015-08-08 | 2015-08-01
siteA | 50 | 0
siteB | 40 | 3
siteC | 30 | 2
siteD | 20 | 1
siteE | 10 | 0
Below is my current query
<h2>GET LATEST DATE AND PREVIOUS DATE</h2>
<?php
$conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$stmt = $conn->prepare('SELECT * FROM sitetotals
ORDER BY sitetotals_wc DESC, sitetotals_total DESC
LIMIT 1');
$stmt->execute();
$row = $stmt->fetch(); // Use fetchAll() if you want all results
$date_raw = date('d-m-Y', strtotime($row['sitetotals_wc']));
echo $date_raw." | ".$date_raw7 = date('d-m-Y', strtotime('-7 day', strtotime($date_raw)));
?>
<h2>TABLE DATA</h2>
<?php
$conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$stmt = $conn->prepare('SELECT * FROM sitetotals
ORDER BY sitetotals_wc DESC, sitetotals_total DESC LIMIT 50');
$stmt->execute();
$result = $stmt->fetchAll();
echo "<table class='paginate'><tr><th>Date</th><th>Worst Site</th>
<th>".$date_raw."</th>
<th>".$date_raw7."</th>
</tr>\n";
foreach($result as $row) {
echo "<tr>";
echo "<td>".date_format($date=(date_create($row['sitetotals_wc'])),'d-m-Y')."</td>";
echo "<td>".$row['sitetotals_site']."</td>";
echo "<td>".$row['sitetotals_total']."</td>";
echo "<td> HERE IS WHERE THE ANSWER SHOULD GO </td>";
echo "</tr>\n";
}
echo "</table>\n";
?>
if possible I would also like to be able to extend this pivot with multiple report periods
解决方案
pivoting on dynamic number of dates
directly in mysql
plan
- construct dates dimension [
dim_site_dates_v] containing all date periods where there is sitetotals data- construct sites dimension [
dim_sites_v] containing all sites with data in sitetotals- set number of periods [
@num_periods] to report against- join dates and site names over reporting period and write summary values to table [
sites_summary_tmp]- use dynamic query template and loop over the reporting space to parameterise query
- prepare+execute query
setup
create table sitetotals
(
sitetotals_id integer primary key not null,
sitetotals_date date not null,
sitetotals_site varchar(22) not null,
sitetotals_total integer not null
);
insert into sitetotals
( sitetotals_id, sitetotals_date, sitetotals_site, sitetotals_total )
values
(1 , '2015-08-08' , 'siteA' , 50 ),
(2 , '2015-08-08' , 'siteB' , 40 ),
(3 , '2015-08-08' , 'siteC' , 30 ),
(4 , '2015-08-08' , 'siteD' , 20 ),
(5 , '2015-08-08' , 'siteE' , 10 ),
(6 , '2015-08-01' , 'siteB' , 3 ),
(7 , '2015-08-01' , 'siteC' , 2 ),
(8 , '2015-08-01' , 'siteD' , 1 ),
(9 , '2015-08-01' , 'siteF' , 1 ),
(10 , '2015-07-25' , 'siteA' , 22 ),
(11 , '2015-07-25' , 'siteC' , 20 ),
(12 , '2015-07-25' , 'siteD' , 10 ),
(13 , '2015-07-25' , 'siteF' , 5 ),
(14 , '2015-07-18' , 'siteA' , 2 ),
(15 , '2015-07-18' , 'siteC' , 5 ),
(16 , '2015-07-18' , 'siteD' , 3 ),
(17 , '2015-07-18' , 'siteE' , 5 )
;
create view dim_sites_v
as
select distinct sitetotals_site
from sitetotals
;
create view dim_site_dates_v
as
select distinct sitetotals_date
from sitetotals
;
create table sites_summary_tmp
(
date_nmbr integer not null,
site_name varchar(22) not null,
total integer not null,
primary key ( date_nmbr, site_name )
);
set @num_periods := 4;
-- if you want to reuse this table, truncate/delete previous summary data first..
insert into sites_summary_tmp
( date_nmbr, site_name, total )
select dates.row_num, sites.sitetotals_site, coalesce(sd.sitetotals_total, 0) as total
from dim_sites_v sites
cross join
(
select sitetotals_date,
@row_num := @row_num + 1 as row_num
from dim_site_dates_v
cross join ( select @row_num := 0 ) as params
order by sitetotals_date desc
) dates
left join sitetotals sd
on sites.sitetotals_site = sd.sitetotals_site
and dates.sitetotals_date = sd.sitetotals_date
where dates.row_num <= @num_periods
;
-- set variables
-- @num_periods should only need to be set once
-- however sqlfiddle uses separate connection for
-- building schema and running sql. so it must be set in this connection
set @num_periods := 4;
set @join_template := ' inner join sites_summary_tmp prev#curr#
on prev#prev#.site_name = prev#curr#.site_name
and prev#prev#.date_nmbr = prev#curr#.date_nmbr - 1
';
set @field_template := '`#prev#nbr##`,';
set @field_alias_template := 'prev#nbr#.total as `#prev#nbr##`,';
-- pivot report can be generated by joining summary results to itself
-- for each date period. and dynamically aliasing the titles to the
-- reporting dates.
set @query := 'select site_name,
#select_fields#
from
(
select prev0.site_name,
#alias_fields#
from sites_summary_tmp prev0
#all_joins#
where prev0.date_nmbr = 1
) pivot
;'
;
query
-- replace parameters in dynamic @query
select count(*)
from
(
select
@query := replace(@query, '#alias_fields#',
concat(replace(@field_alias_template, '#nbr#', dates.row_num), ' #alias_fields#')),
@query := replace(@query, '#select_fields#',
concat(replace(@field_template, '#nbr#', dates.row_num), ' #select_fields#')),
@query := replace(@query, concat('#prev', dates.row_num, '#'), sitetotals_date),
@query := if(dates.row_num < @num_periods - 1, replace(@query, '#all_joins#',
concat(replace(replace(@join_template, '#prev#', dates.row_num), '#curr#', dates.row_num + 1),
' #all_joins#')),
@query)
from
(
select sitetotals_date,
@row_num := @row_num + 1 as row_num
from dim_site_dates_v
cross join ( select @row_num := -1 ) as params
order by sitetotals_date desc
) dates
where dates.row_num < @num_periods
) suppress_output
into @ignore
;
set @query := replace(replace(replace(@query, '#all_joins#', ''), ', #alias_fields#', ' '), ', #select_fields#', ' ');
PREPARE dynamic_statement FROM @query;
EXECUTE dynamic_statement;
deallocate prepare dynamic_statement;
output
+-----------+------------+------------+------------+------------+
| site_name | 2015-08-08 | 2015-08-01 | 2015-07-25 | 2015-07-18 |
+-----------+------------+------------+------------+------------+
| siteA | 50 | 0 | 22 | 2 |
| siteB | 40 | 3 | 0 | 0 |
| siteC | 30 | 2 | 20 | 5 |
| siteD | 20 | 1 | 10 | 3 |
| siteE | 10 | 0 | 0 | 5 |
| siteF | 0 | 1 | 5 | 0 |
+-----------+------------+------------+------------+------------+
with php
plan
- construct dates dimension [
dim_site_dates_v] containing all date periods where there is sitetotals data- construct sites dimension [
dim_sites_v] containing all sites with data in sitetotals- set number of periods [
@num_periods] to report against- join dates and site names over reporting period and order by date and site return resultset to php
- php to pivot on date fields
php
<?php
/**
* Mysqli initial code
*
* User permissions of database
* Create, Alter and Index table, Create view, and Select, Insert, Update, Delete table data
*
* @package PhpFiddle
* @link http://phpfiddle.org
* @since 2012
*/
require "util/public_db_info.php";
$short_connect = new mysqli($host_name, $user_name, $pass_word, $database_name, $port);
$sql = "set @num_periods := 4";
$result = $short_connect->query($sql) or die(mysqli_error($short_connect));
$sql = "select dates.sitetotals_date, sites.sitetotals_site, coalesce(sd.sitetotals_total, 0) as total " .
"from dim_sites_v sites " .
"cross join " .
"( " .
"select sitetotals_date, " .
"@row_num := @row_num + 1 as row_num " .
"from dim_site_dates_v " .
"cross join ( select @row_num := 0 ) as params " .
"order by sitetotals_date desc " .
") dates " .
"left join sitetotals sd " .
"on sites.sitetotals_site = sd.sitetotals_site " .
"and dates.sitetotals_date = sd.sitetotals_date " .
"where dates.row_num <= @num_periods order by 1 desc,2";
$result = $short_connect->query($sql) or die(mysqli_error($short_connect));
$table = array();
$dates = array();
$sites = array();
if (($result) && ($result->num_rows > 0))
{
$results = array();
//convert query result into an associative array
while ($row = $result->fetch_assoc())
{
if(!in_array($row["sitetotals_date"], $dates))$dates[] = $row["sitetotals_date"];
if(!in_array($row["sitetotals_site"], $sites))$sites[] = $row["sitetotals_site"];
$table[$row["sitetotals_site"]][$row["sitetotals_date"]] = $row["total"];
}
$result->free();
}
echo "<table>";
echo "<tr><td>site_name</td>";
foreach($dates as $date)
{
echo "<td>" . $date . "</td>";
}
echo "</tr>";
foreach ($sites as $site)
{
echo "<tr><td>" . $site . "</td>";
foreach($dates as $date)
{
echo "<td>" . $table[$site][$date] . "</td>";
}
echo "</tr>";
}
echo "</table>";
$short_connect->close();
?>
output
<table>
<tbody>
<tr>
<td>site_name</td>
<td>2015-08-08</td>
<td>2015-08-01</td>
<td>2015-07-25</td>
<td>2015-07-18</td>
</tr>
<tr>
<td>siteA</td>
<td>50</td>
<td>0</td>
<td>22</td>
<td>2</td>
</tr>
<tr>
<td>siteB</td>
<td>40</td>
<td>3</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>siteC</td>
<td>30</td>
<td>2</td>
<td>20</td>
<td>5</td>
</tr>
<tr>
<td>siteD</td>
<td>20</td>
<td>1</td>
<td>10</td>
<td>3</td>
</tr>
<tr>
<td>siteE</td>
<td>10</td>
<td>0</td>
<td>0</td>
<td>5</td>
</tr>
<tr>
<td>siteF</td>
<td>0</td>
<td>1</td>
<td>5</td>
<td>0</td>
</tr>
</tbody>
</table>
both solutions can be extended dynamically for number of report periods by adjust value of @num_periods. if @num_periods is greater than the total number of periods in the data, no rows will be returned..
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