[英]MySQL Query optimisation for fetching geolocation records
我有一個地方的地理位置,意味着我有一個CenterLatitude
和CenterLongitude
以及一個radius
。 在此半徑范圍內,有許多具有不同RegionType
類型的區域記錄。 我想通過匹配該radius
內每個RegionType
的記錄強度來獲取正確的RegionType
記錄。
我目前的邏輯是這樣,
步驟1:查找最小和最大緯度和經度值
$milesToKM = 112.654; $minLat = $data['lat'] - ($data['rad'] / $milesToKM); $maxLat = $data['lat'] + ($data['rad'] / $milesToKM); $minLong = $data['lon'] - ($data['rad'] / $milesToKM); $maxLong = $data['lon'] + ($data['rad'] / $milesToKM);
步驟2:選擇帶有count
Regiontype
$query = $pdo->prepare("SELECT `RegionType`, count(`RegionType`) as count from (SELECT RegionType FROM data_api_region WHERE (CenterLatitude between $minLat and $maxLat) AND (CenterLongitude between $minLong and $maxLong) AND languageCode = '" . $data['locale'] . "') q GROUP BY `RegionType`");
$query->execute();
$regionCounts = $query->fetchAll(PDO::FETCH_ASSOC);
unset($query);
$finalCountArr = array();
foreach ($regionCounts as $regionCountData) {
$finalCountArr[$regionCountData['RegionType']] = $regionCountData['count'];
}
步驟3:確定相關的RegionType
switch (true) {
case (isset($finalCountArr['Continent']) && $finalCountArr['Continent'] > 5):
$regionTypeFinal = 'Continent';
break;
case (isset($finalCountArr['Country']) && $finalCountArr['Country'] > 5):
$regionTypeFinal = 'Country';
break;
case (isset($finalCountArr['Multi-Region (within a country)']) && $finalCountArr['Multi-Region (within a country)'] > 5):
$regionTypeFinal = 'Multi-Region (within a country)';
break;
case (isset($finalCountArr['Province (State)']) && $finalCountArr['Province (State)'] > 5):
$regionTypeFinal = 'Province (State)';
break;
case (isset($finalCountArr['Multi-City (Vicinity)']) && $finalCountArr['Multi-City (Vicinity)'] > 5):
$regionTypeFinal = 'Multi-City (Vicinity)';
break;
case (isset($finalCountArr['City']) && $finalCountArr['City'] > 5):
$regionTypeFinal = 'City';
break;
case (isset($finalCountArr['Neighborhood']) && $finalCountArr['Neighborhood'] > 5):
$regionTypeFinal = 'Neighborhood';
break;
default:
$regionTypeFinal = 'Point of Interest';
break;
}
步驟4:提取正確的記錄
$query = $pdo->prepare("SELECT `id` as regionId, `RegionName` as regionName,`RegionNameLong` as regionNameLong, `RegionType` as regionType,`CenterLongitude` as centerLongitude, `CenterLatitude` as centerLatitude ,`LanguageCode` as languageCode FROM data_api_region WHERE (CenterLatitude between $minLat and $maxLat) AND (CenterLongitude between $minLong and $maxLong) AND languageCode = '" . $data['locale'] . "' AND RegionType = '$regionTypeFinal'");
$query->execute();
$finalResultRegions = $query->fetchAll(PDO::FETCH_ASSOC);
誰能告訴我如何優化此過程,因為表中缺少記錄,因此該過程很耗時。用一個SQL查詢可以嗎?
沒有測試數據或表布局,因此我無法真正進行測試,但是可以在單條SQL中完成,例如:
SELECT `id` as regionId, `RegionName` as regionName,`RegionNameLong` as regionNameLong, `RegionType` as regionType,`CenterLongitude` as centerLongitude, `CenterLatitude` as centerLatitude ,`LanguageCode` as languageCode
FROM data_api_region
INNER JOIN
(
SELECT CASE
WHEN RegionType = 'Continent' AND `count` > 5
THEN 'Continent'
WHEN RegionType = 'Country' AND `count` > 5
THEN 'Country'
WHEN RegionType = 'Multi-Region (within a country)' AND `count` > 5
THEN 'Multi-Region (within a country)'
WHEN RegionType = 'Province (State)' AND `count` > 5
THEN 'Province (State)'
WHEN RegionType = 'Multi-City (Vicinity)' AND `count` > 5
THEN 'Multi-City (Vicinity)'
WHEN RegionType = 'City' AND `count` > 5
THEN 'City'
WHEN RegionType = 'Neighborhood' AND `count` > 5
THEN 'Neighborhood'
ELSE 'Point of Interest'
END AS regionTypeFinal
FROM
(
SELECT `RegionType`, count(`RegionType`) as `count`
FROM data_api_region
WHERE (CenterLatitude between $minLat and $maxLat)
AND (CenterLongitude between $minLong and $maxLong) AND languageCode = '" . $data['locale'] . "'
GROUP BY `RegionType`
) q
) Sub1
ON data_api_region.RegionType = Sub1.regionTypeFinal
WHERE (CenterLatitude between $minLat and $maxLat)
AND (CenterLongitude between $minLong and $maxLong)
AND languageCode = '" . $data['locale'] . "'
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