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North Cornwall Cottages With Hot Tubs
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romantic: pool: wifi: nearBeach: allowsPets:
region: England
county: Cornwall
sleeps:
bedrooms:
romantic:
Local table: UKTravelFeeds.cottages
This is a countySearch
Main sql2: SELECT df.*, sup.shortDesc FROM UKTravelFeeds.cottages df INNER JOIN miniSitesSupplemental.northcornwallcottageswithhottubs sup ON df.siteCode = sup.siteCode WHERE df.county = 'Cornwall'
2 Cottages Found
Pagination running in TEST MODE
baseURL: /
totalRows: 2
page: 2
numberOfPages: (totalRows / 15) = 1
Refine by counts
Counts SQL
SELECT SUM(wifi) AS wifiCount, SUM(nearPub) AS nearPubCount, SUM(fishing) AS fishingCount, SUM(pool) AS poolCount, SUM(golf) AS golfCount, SUM(allowsPets) AS allowsPetsCount, SUM(nearBeach) AS nearBeachCount, SUM(garden) AS gardenCount, SUM(openFire) AS openFireCount, SUM(romantic) AS romanticCount, SUM(CASE WHEN sleeps BETWEEN 2 AND 4 THEN 1 ELSE 0 END) AS sleeps2_4Count, SUM(CASE WHEN sleeps BETWEEN 5 AND 6 THEN 1 ELSE 0 END) AS sleeps5_6Count, SUM(CASE WHEN sleeps BETWEEN 7 AND 8 THEN 1 ELSE 0 END) AS sleeps7_8Count, SUM(CASE WHEN sleeps >= 9 THEN 1 ELSE 0 END) AS sleeps9Count FROM UKTravelFeeds.cottages WHERE county = 'Cornwall' AND siteCode IN ( SELECT siteCode FROM miniSitesSupplemental.northcornwallcottageswithhottubs )
counts array
Array ( [wifiCount] => 1 [nearPubCount] => 0 [fishingCount] => 1 [poolCount] => 0 [golfCount] => 0 [allowsPetsCount] => 2 [nearBeachCount] => 2 [gardenCount] => 1 [openFireCount] => 0 [romanticCount] => 1 [sleeps2_4Count] => 2 [sleeps5_6Count] => 0 [sleeps7_8Count] => 0 [sleeps9Count] => 0 )
sortBy: bestMatch$page: 2
orderBy: ORDER BY county='Cornwall' DESC, siteName ASC
$from: 2
$showAtTime: 15
$from: 16
sql: SELECT df.*, sup.shortDesc FROM UKTravelFeeds.cottages df INNER JOIN miniSitesSupplemental.northcornwallcottageswithhottubs sup ON df.siteCode = sup.siteCode WHERE df.county = 'Cornwall'AND page != '.html' GROUP BY page ORDER BY county='Cornwall' DESC, siteName ASC LIMIT 15, 20