aggregation framework - Mongodb aggregate query improvement -


i have mysql query this, select total_entries of current , previous range, group id_station , area_type. 

select id_station, time_begin,  if(`date` >= '2017-02-16'  , `date` <= '2017-02-28' ,sum(total_entries) ,0) total_entries,  if(`date` >= '2017-02-16'  , `date` <= '2017-02-28' ,sum(woman) ,0) woman,  if(`date` >= '2017-02-16'  , `date` <= '2017-02-28' ,sum(man) ,0) man,  if(`date` >= '2017-02-16'  , `date` <= '2017-02-28' ,sum(couple) ,0) couple,  if(`date` >= '2017-02-01'  , `date` <= '2017-02-15' ,sum(total_entries) ,0) total_entries_prev, if(`date` >= '2017-02-01'  , `date` <= '2017-02-15' ,sum(woman) ,0) total_woman_prev, if(`date` >= '2017-02-01'  , `date` <= '2017-02-15' ,sum(man) ,0) total_man_prev, if(`date` >= '2017-02-01'  , `date` <= '2017-02-15' ,sum(couple) ,0) total_couple_prev report_all_hour id_station in(493,494,495,496,517,518,960,961,962,963,964,965,1054,1499)  , `date` >= '2017-02-02'  , `date` <= '2017-02-28'  , total_entries >0 , time_begin >="12:00:00" , time_begin < "15:00:00" group area_type, id_station rollup

and mongodb document this: enter image description here

in example used total_entries in real i'm using on 1000 columns. question how select on 1000 columns(girl, boy, couple, etc.) without add more condition in following coding:

$match = array(     'date' => array('$gte' => $this->mongotime("2017-02-01"),'$lte' => $this->mongotime("2017-02-31")),                    'time_begin' => array('$gte' => 43200,'$lt' => 54000) ); $sort = array('$sort' => array('_id' => 1));  $cond_total_entries = array('$cond' => array(                                     array(                                         '$and' => array(                                             array('$gte' => array('$date', $this->mongotime("2017-02-01"))),array('$lte' => array('$date', $this->mongotime("2017-02-15"))),                                         )                                                                                     )                                 , '$total_entries', 0                             )             ); $cond_total_entries_prev = array('$cond' => array(                                 array(                                         '$and' => array(                                             array('$gte' => array('$date', $this->mongotime("2017-02-16"))), array('$lte' => array('$date', $this->mongotime("2017-02-31"))),                                         )                                                                                     )                                 , '$total_entries', 0                             )             );  $group_stores = array('_id' => array('area_type'=>'$area_type', 'id_station'=>'$id_station'),                   "total_entries_cur" => array('$sum' => $cond_total_entries),                  "total_entries_prev" => array('$sum' => $cond_total_entries_prev),             );  $group_all = array('_id' => null,                   "total_entries_cur_sum" => array('$sum' => '$doc.total_entries_cur'),                  "total_entries_prev_sum" => array('$sum' => '$doc.total_entries_prev'),                  "data"=>array('$push' => '$doc')             ); $table = $collection->aggregate([     ['$match' => $match],                 ['$group' => $group_stores],      $sort,     ['$project' => array('doc'=>array('_id'=>'$_id',"total_entries_cur"=>'$total_entries_cur',"total_entries_prev"=>'$total_entries_prev'))],      ['$group' => $group_all]             ]);  $table = $table->toarray()[0]->getarraycopy();              $data = $table["data"]; echo "total entries current: ". $table["total_entries_cur_sum"] . "<br>"; echo "total entries previous: ". $table["total_entries_prev_sum"] . "<br>"; foreach ($data $item) {                 echo "area: ". $item['_id']["area_type"] . ", station: " . $item['_id']["id_station"] . ", total entries current: " . $item['total_entries_cur'] . ", total entries prev: " . $item['total_entries_prev'] . "<br>"; }

results:

total entries current: 974 total entries previous: 1263 area: 1, station: 493, total entries current: 254, total entries prev: 381 area: 1, station: 494, total entries current: 169, total entries prev: 166 area: 1, station: 495, total entries current: 60, total entries prev: 90 area: 1, station: 517, total entries current: 41, total entries prev: 57 area: 1, station: 960, total entries current: 70, total entries prev: 99 area: 1, station: 961, total entries current: 118, total entries prev: 162 area: 1, station: 962, total entries current: 1, total entries prev: 0 area: 1, station: 963, total entries current: 123, total entries prev: 119 area: 1, station: 965, total entries current: 97, total entries prev: 123 area: 1, station: 1499, total entries current: 41, total entries prev: 66


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