Recursive multi-dimensional array cleaning - php
I have an array of zip coordinates that are stored funky. Here's an example:
[
[
[
[ -86.100244, 31.240460 ], [ -86.093814, 31.240430 ], [ -86.092085, 31.241552 ], [ -86.090261, 31.247551 ], [ -86.090022, 31.249796 ], [ -86.090372, 31.253548 ], [ -86.091308, 31.257124 ], [ -86.090297, 31.262423 ], [ -86.089312, 31.263913 ], [ -86.089339, 31.266277 ], [ -86.088645, 31.268668 ], [ -86.082300, 31.264919 ], [ -86.080802, 31.262602 ], [ -86.080393, 31.254969 ], [ -86.078874, 31.252814 ], [ -86.071737, 31.249901 ], [ -86.063719, 31.247637 ], [ -86.059080, 31.247375 ], [ -86.054421, 31.248294 ], [ -86.041221, 31.249039 ], [ -86.038034, 31.249027 ], [ -86.038196, 31.248774 ], [ -86.039120, 31.247187 ], [ -86.041291, 31.243459 ], [ -86.043650, 31.240295 ], [ -86.044764, 31.238032 ], [ -86.051462, 31.237612 ], [ -86.058916, 31.237665 ], [ -86.058719, 31.226191 ], [ -86.058536, 31.222940 ], [ -86.084549, 31.222445 ], [ -86.084921, 31.223183 ], [ -86.084812, 31.227491 ], [ -86.083678, 31.229595 ], [ -86.088507, 31.229438 ], [ -86.093104, 31.229694 ], [ -86.094768, 31.230409 ], [ -86.097699, 31.233113 ], [ -86.098889, 31.233219 ], [ -86.099265, 31.237281 ], [ -86.100244, 31.240460 ]
]
],
[
[
[ -86.255008, 31.103419 ], [ -86.253618, 31.109155 ], [ -86.251058, 31.112943 ], [ -86.247938, 31.112895 ], [ -86.246462, 31.113440 ], [ -86.242843, 31.113123 ], [ -86.239295, 31.111936 ], [ -86.234558, 31.113033 ], [ -86.229930, 31.113282 ], [ -86.227789, 31.113761 ], [ -86.228754, 31.115114 ], [ -86.227875, 31.116330 ], [ -86.226388, 31.119954 ], [ -86.226976, 31.124356 ], [ -86.227992, 31.127524 ], [ -86.227861, 31.133621 ], [ -86.228742, 31.136989 ], [ -86.230476, 31.140472 ], [ -86.226265, 31.138892 ], [ -86.224587, 31.139466 ], [ -86.222761, 31.142581 ], [ -86.219177, 31.142210 ], [ -86.216690, 31.144961 ], [ -86.213940, 31.144114 ], [ -86.208191, 31.142960 ], [ -86.206649, 31.142020 ], [ -86.201335, 31.140712 ], [ -86.198419, 31.138892 ], [ -86.193191, 31.137770 ], [ -86.193177, 31.190277 ], [ -86.193476, 31.192213 ], [ -86.194002, 31.211773 ], [ -86.193542, 31.213028 ], [ -86.193847, 31.219627 ], [ -86.193676, 31.228766 ], [ -86.193888, 31.283526 ], [ -86.189874, 31.283482 ], [ -86.190098, 31.290410 ], [ -86.189817, 31.297643 ], [ -86.190103, 31.301524 ], [ -86.184821, 31.301016 ], [ -86.185076, 31.302168 ], [ -86.186997, 31.304466 ], [ -86.191267, 31.305689 ], [ -86.194248, 31.304997 ], [ -86.194459, 31.318053 ], [ -86.193125, 31.317861 ], [ -86.190813, 31.319956 ], [ -86.190407, 31.323535 ], [ -86.172928, 31.323728 ], [ -86.169240, 31.321991 ], [ -86.169148, 31.317003 ], [ -86.165470, 31.316297 ], [ -86.163667, 31.316601 ], [ -86.153412, 31.316781 ], [ -86.152609, 31.316573 ], [ -86.151050, 31.313998 ], [ -86.143012, 31.306997 ], [ -86.142158, 31.305455 ], [ -86.139119, 31.309366 ], [ -86.137571, 31.310229 ], [ -86.137927, 31.311350 ], [ -86.140170, 31.314038 ], [ -86.140090, 31.315565 ], [ -86.142068, 31.320100 ], [ -86.141557, 31.322432 ], [ -86.142354, 31.324810 ], [ -86.142350, 31.327074 ], [ -86.143255, 31.327781 ], [ -86.143358, 31.330091 ], [ -86.144077, 31.330594 ], [ -86.143855, 31.335279 ], [ -86.142384, 31.336742 ], [ -86.142280, 31.337970 ], [ -86.135881, 31.337594 ], [ -86.131327, 31.338888 ], [ -86.131448, 31.334637 ], [ -86.132710, 31.331145 ], [ -86.133547, 31.327547 ], [ -86.134386, 31.319986 ], [ -86.126361, 31.321018 ], [ -86.120692, 31.322646 ], [ -86.116923, 31.324281 ], [ -86.113096, 31.324118 ], [ -86.102888, 31.324680 ], [ -86.101666, 31.326532 ], [ -86.100049, 31.326166 ], [ -86.098697, 31.324170 ], [ -86.099191, 31.322518 ], [ -86.101672, 31.319419 ], [ -86.104005, 31.315404 ], [ -86.105124, 31.311577 ], [ -86.105017, 31.309744 ], [ -86.102932, 31.306467 ], [ -86.102719, 31.305459 ], [ -86.104905, 31.300922 ], [ -86.108373, 31.297002 ], [ -86.107464, 31.294138 ], [ -86.109786, 31.294137 ], [ -86.110826, 31.293541 ], [ -86.113334, 31.290675 ], [ -86.116731, 31.292199 ], [ -86.121752, 31.292391 ], [ -86.124078, 31.294478 ], [ -86.126272, 31.290954 ], [ -86.126345, 31.281279 ], [ -86.125610, 31.278750 ], [ -86.121173, 31.278471 ], [ -86.118802, 31.276679 ], [ -86.117378, 31.277272 ], [ -86.115033, 31.275687 ], [ -86.115197, 31.272064 ], [ -86.115402, 31.268720 ], [ -86.116519, 31.262578 ], [ -86.116863, 31.257583 ], [ -86.117742, 31.254901 ], [ -86.119181, 31.252265 ], [ -86.119153, 31.250642 ], [ -86.120857, 31.248747 ], [ -86.123017, 31.247646 ], [ -86.124543, 31.245170 ], [ -86.125671, 31.245375 ], [ -86.126710, 31.247003 ], [ -86.128044, 31.246706 ], [ -86.128578, 31.245445 ], [ -86.126287, 31.242052 ], [ -86.126581, 31.240815 ], [ -86.129409, 31.239258 ], [ -86.132236, 31.239947 ], [ -86.133998, 31.236441 ], [ -86.133145, 31.235135 ], [ -86.134746, 31.234058 ], [ -86.135547, 31.232409 ], [ -86.136987, 31.232845 ], [ -86.137146, 31.234036 ], [ -86.138639, 31.234768 ], [ -86.140138, 31.232741 ], [ -86.140031, 31.231572 ], [ -86.136140, 31.224427 ], [ -86.134435, 31.223098 ], [ -86.133848, 31.221151 ], [ -86.129395, 31.221633 ], [ -86.126968, 31.219686 ], [ -86.126437, 31.217487 ], [ -86.122893, 31.218427 ], [ -86.121057, 31.221956 ], [ -86.121966, 31.224155 ], [ -86.121780, 31.225294 ], [ -86.116827, 31.224156 ], [ -86.111202, 31.224156 ], [ -86.109580, 31.225326 ], [ -86.108809, 31.226887 ], [ -86.108732, 31.223627 ], [ -86.104069, 31.222379 ], [ -86.099211, 31.222236 ], [ -86.098924, 31.217234 ], [ -86.097975, 31.212911 ], [ -86.094958, 31.207703 ], [ -86.093688, 31.203308 ], [ -86.095608, 31.202442 ], [ -86.096021, 31.200505 ], [ -86.093315, 31.200509 ], [ -86.088875, 31.195799 ], [ -86.085492, 31.193286 ], [ -86.116734, 31.193015 ], [ -86.116735, 31.183885 ], [ -86.114527, 31.183621 ], [ -86.113167, 31.183072 ], [ -86.111380, 31.181744 ], [ -86.110313, 31.180118 ], [ -86.109886, 31.178468 ], [ -86.109752, 31.176886 ], [ -86.108712, 31.176085 ], [ -86.107166, 31.175902 ], [ -86.104287, 31.175147 ], [ -86.101835, 31.174322 ], [ -86.099249, 31.173063 ], [ -86.097703, 31.173040 ], [ -86.096690, 31.172582 ], [ -86.095970, 31.168801 ], [ -86.096902, 31.167930 ], [ -86.096928, 31.166440 ], [ -86.096342, 31.165753 ], [ -86.094449, 31.164653 ], [ -86.094315, 31.163553 ], [ -86.094927, 31.160780 ], [ -86.095913, 31.158352 ], [ -86.096019, 31.156725 ], [ -86.094765, 31.154548 ], [ -86.094844, 31.153310 ], [ -86.095216, 31.151041 ], [ -86.092658, 31.150973 ], [ -86.091859, 31.150148 ], [ -86.092152, 31.149002 ], [ -86.093084, 31.148383 ], [ -86.094869, 31.147810 ], [ -86.096414, 31.147764 ], [ -86.100679, 31.148129 ], [ -86.101691, 31.147808 ], [ -86.101664, 31.147258 ], [ -86.100437, 31.146136 ], [ -86.098998, 31.145723 ], [ -86.096919, 31.144532 ], [ -86.096146, 31.142493 ], [ -86.096092, 31.141072 ], [ -86.097664, 31.141232 ], [ -86.099183, 31.140796 ], [ -86.099662, 31.139971 ], [ -86.098196, 31.137153 ], [ -86.098062, 31.136396 ], [ -86.098675, 31.135709 ], [ -86.100566, 31.135342 ], [ -86.101285, 31.134860 ], [ -86.100592, 31.133028 ], [ -86.100990, 31.131263 ], [ -86.102482, 31.129475 ], [ -86.102721, 31.127779 ], [ -86.102427, 31.126404 ], [ -86.101598, 31.124767 ], [ -86.100772, 31.123989 ], [ -86.099123, 31.121452 ], [ -86.098515, 31.118351 ], [ -86.097270, 31.115700 ], [ -86.097616, 31.113934 ], [ -86.097517, 31.116083 ], [ -86.098709, 31.118378 ], [ -86.100104, 31.117825 ], [ -86.101116, 31.117664 ], [ -86.104019, 31.116678 ], [ -86.105325, 31.116677 ], [ -86.107616, 31.117708 ], [ -86.110014, 31.118028 ], [ -86.111375, 31.119518 ], [ -86.111092, 31.113066 ], [ -86.113216, 31.113245 ], [ -86.115630, 31.113954 ], [ -86.119814, 31.116223 ], [ -86.119834, 31.113827 ], [ -86.119600, 31.112975 ], [ -86.117903, 31.109063 ], [ -86.117686, 31.108206 ], [ -86.117336, 31.104482 ], [ -86.116972, 31.103435 ], [ -86.115325, 31.101213 ], [ -86.114259, 31.099305 ], [ -86.113410, 31.094656 ], [ -86.112499, 31.091906 ], [ -86.111273, 31.090083 ], [ -86.114434, 31.089490 ], [ -86.114946, 31.090852 ], [ -86.115915, 31.091514 ], [ -86.118624, 31.090055 ], [ -86.119799, 31.088421 ], [ -86.120641, 31.086413 ], [ -86.122825, 31.084048 ], [ -86.123215, 31.083206 ], [ -86.124664, 31.081808 ], [ -86.126619, 31.081725 ], [ -86.127690, 31.079459 ], [ -86.129215, 31.077865 ], [ -86.130110, 31.077143 ], [ -86.130225, 31.076360 ], [ -86.129655, 31.075361 ], [ -86.127905, 31.074704 ], [ -86.126338, 31.072748 ], [ -86.125139, 31.071459 ], [ -86.126475, 31.070656 ], [ -86.125258, 31.070187 ], [ -86.125911, 31.069039 ], [ -86.124569, 31.068718 ], [ -86.124476, 31.067541 ], [ -86.123703, 31.067052 ], [ -86.123708, 31.065991 ], [ -86.125198, 31.066352 ], [ -86.124378, 31.065022 ], [ -86.123420, 31.063939 ], [ -86.122167, 31.063857 ], [ -86.121662, 31.062576 ], [ -86.121750, 31.060827 ], [ -86.122375, 31.059908 ], [ -86.123417, 31.060452 ], [ -86.124146, 31.061095 ], [ -86.124127, 31.061766 ], [ -86.125380, 31.061649 ], [ -86.126204, 31.061991 ], [ -86.128083, 31.061023 ], [ -86.127380, 31.060160 ], [ -86.129003, 31.060298 ], [ -86.130318, 31.061899 ], [ -86.131865, 31.061658 ], [ -86.133277, 31.061438 ], [ -86.134356, 31.061725 ], [ -86.134637, 31.062390 ], [ -86.136126, 31.062864 ], [ -86.137403, 31.063712 ], [ -86.138675, 31.063239 ], [ -86.140208, 31.063658 ], [ -86.140004, 31.062871 ], [ -86.143052, 31.062592 ], [ -86.145914, 31.062191 ], [ -86.145889, 31.061223 ], [ -86.147863, 31.061543 ], [ -86.147978, 31.062192 ], [ -86.149895, 31.061147 ], [ -86.150176, 31.060432 ], [ -86.151115, 31.060977 ], [ -86.152099, 31.061076 ], [ -86.152981, 31.062243 ], [ -86.153438, 31.063557 ], [ -86.152511, 31.064640 ], [ -86.149333, 31.065305 ], [ -86.148004, 31.065775 ], [ -86.145752, 31.067079 ], [ -86.144041, 31.068277 ], [ -86.141306, 31.069105 ], [ -86.136622, 31.069751 ], [ -86.134258, 31.069977 ], [ -86.132827, 31.069676 ], [ -86.133002, 31.079549 ], [ -86.133506, 31.081551 ], [ -86.133982, 31.084592 ], [ -86.133778, 31.087147 ], [ -86.134361, 31.088826 ], [ -86.135994, 31.090682 ], [ -86.137403, 31.093599 ], [ -86.138926, 31.092961 ], [ -86.141304, 31.093218 ], [ -86.141582, 31.094261 ], [ -86.147214, 31.094159 ], [ -86.147690, 31.093052 ], [ -86.148675, 31.092486 ], [ -86.150643, 31.092250 ], [ -86.150145, 31.092844 ], [ -86.151704, 31.093911 ], [ -86.152447, 31.094147 ], [ -86.159345, 31.094118 ], [ -86.159719, 31.091940 ], [ -86.160327, 31.090872 ], [ -86.159650, 31.089128 ], [ -86.159554, 31.086874 ], [ -86.158130, 31.085086 ], [ -86.157076, 31.084266 ], [ -86.152002, 31.081256 ], [ -86.150201, 31.080601 ], [ -86.146692, 31.080198 ], [ -86.146482, 31.079445 ], [ -86.146948, 31.079043 ], [ -86.150118, 31.078109 ], [ -86.151531, 31.077048 ], [ -86.152586, 31.075393 ], [ -86.154523, 31.073766 ], [ -86.155763, 31.073145 ], [ -86.156274, 31.072056 ], [ -86.158569, 31.070819 ], [ -86.159818, 31.069386 ], [ -86.162474, 31.069657 ], [ -86.166110, 31.071319 ], [ -86.166394, 31.074885 ], [ -86.171231, 31.074280 ], [ -86.172389, 31.075502 ], [ -86.172906, 31.076695 ], [ -86.174715, 31.078868 ], [ -86.175392, 31.080716 ], [ -86.176235, 31.081250 ], [ -86.178312, 31.081987 ], [ -86.179149, 31.083274 ], [ -86.179622, 31.085502 ], [ -86.179609, 31.087102 ], [ -86.180388, 31.090925 ], [ -86.181487, 31.092465 ], [ -86.182238, 31.093948 ], [ -86.183178, 31.092799 ], [ -86.185532, 31.090407 ], [ -86.192334, 31.090363 ], [ -86.197872, 31.091541 ], [ -86.213719, 31.094105 ], [ -86.215331, 31.094573 ], [ -86.228515, 31.099433 ], [ -86.233797, 31.100266 ], [ -86.242899, 31.100547 ], [ -86.244802, 31.099929 ], [ -86.248192, 31.097862 ], [ -86.252549, 31.097354 ], [ -86.252678, 31.099018 ], [ -86.254747, 31.102346 ], [ -86.255008, 31.103419 ]
],
[
[ -86.184821, 31.301016 ], [ -86.184729, 31.300839 ], [ -86.184459, 31.298498 ], [ -86.181177, 31.294075 ], [ -86.178058, 31.292649 ], [ -86.169179, 31.291602 ], [ -86.162755, 31.287625 ], [ -86.158862, 31.289840 ], [ -86.156081, 31.292407 ], [ -86.155109, 31.295007 ], [ -86.156611, 31.296646 ], [ -86.158631, 31.297008 ], [ -86.165275, 31.300376 ], [ -86.170899, 31.306743 ], [ -86.175389, 31.308973 ], [ -86.178368, 31.306745 ], [ -86.181431, 31.302192 ], [ -86.184598, 31.301013 ], [ -86.184821, 31.301016 ]
]
]
]
As you can see, the array looks something like this:
[0]
[0]
[0]
[0] => coordinate 1 Latitude
[1] => coordinate 1 Longitude
.....
[40]
[0] => coordinate 41 Latitude
[1] => coordinate 41 Longitude
[1]
[0]
[0]
[0] => coordinate 1 Latitude
[1] => coordinate 1 Longitude
.....
[385]
[0] => coordinate 386 Latitude
[1] => coordinate 386 Longitude
[1]
[0]
[0] => coordinate 1 Latitude
[1] => coordinate 1 Longitude
.....
[18]
[0] => coordinate 19 Latitude
[1] => coordinate 19 Longitude
I'm looking to to create a recursive function that will drill through a funky array like this and basically return me just coordinates in a multi-dimensional array with three sub items. I've tried a few things but didn't even come close.
Since I know for a fact that the deepest level of coordinates, I think this should do it...
function cleanArray($coords)
{
$toReturn = array();
foreach ($coords as $thisCoords)
{
foreach ($thisCoords as $finalCoords)
{
$testArray = $finalCoords[0];
$lastArray = $finalCoords;
while (is_array($testArray[0]))
{
$lastArray = $testArray;
$testArray = $testArray[0];
}
$toReturn[] = $lastArray;
}
}
return $toReturn;
}
Related
How to use MDword to generate multi-level nested Office Word?
effect picture： https://i.stack.imgur.com/f2r3O.png github address: https://github.com/mkdreams/MDword data: $arr = [ [ "title1" => "title1", "meeting_content"=>[ [ "title11" => "title11,title11", "content11" => "content,content,content,content,content,content,content,content,content," ], [ "title22" => "title22,title22", "content22" => "content,content,content,content,content,content,content,content,content," ], ], "children" => [] ], [ "title" => "title", "meeting_content"=>[ ], "children"=>[ [ "title1" => "title1", "meeting_content"=>[ [ "title11" => "title11,title11", "content11" => "content,content,content,content,content,content,content,content,content," ], [ "title22" => "title22,title22", "content22" => "content,content,content,content,content,content,content,content,content," ], ], ], [ "title2" => "title2", "meeting_content"=>[ [ "title11" => "title11,title11", "content11" => "content,content,content,content,content,content,content,content,content," ], [ "title22" => "title22,title22", "content22" => "content,content,content,content,content,content,content,content,content," ], ], ], ], ], ]; How to use MDword to generate multi-level nested Office Word? Now I need to, using a MDword extension of PHP, write this multidimensional data into a Word document, I don't know what to do, it has the effect picture, and Github address, thank you
You can use pstyle.You can see the demo.
Details as follows(You must update to the latest version):
data
$numDatas = [
[
'title'=>'title-1',
'content'=>'content-1'
],
[
'title'=>'title-2',
'sub'=>[
[
'title'=>'subTitle-2-1',
'content'=>'content-2-1',
],
[
'title'=>'subTitle-2-2',
'content'=>'content-2-2',
],
]
],
[
'title'=>'title-3',
'sub'=>[
[
'title'=>'subTitle-3-1',
'content'=>'content-3-1',
],
[
'title'=>'subTitle-3-2',
'content'=>'content-3-2',
],
]
],
];
temple IMG:
https://i.stack.imgur.com/dS1U1.png
code
$TemplateProcessor->cloneP('num',count($numDatas));
foreach($numDatas as $idx => $numData) {
$TemplateProcessor->cloneP('num'.'#'.$idx,3);
$TemplateProcessor->setValue('num'.'#'.$idx.'#0',[['text' => $numData['title'], 'pstyle' => 'numstyle-level-1', 'type' => MDWORD_TEXT]]);
if(isset($numData['content'])) {
$TemplateProcessor->setValue('num'.'#'.$idx.'#1',[['text' => $numData['content'], 'pstyle' => 'numstyle-level-3', 'type' => MDWORD_TEXT]]);
}else{
$TemplateProcessor->deleteP('num'.'#'.$idx.'#1');
}
$subName = 'num'.'#'.$idx.'#2';
if(isset($numData['sub'])) {
$TemplateProcessor->cloneP($subName,count($numData['sub']));
foreach($numData['sub'] as $subIdx => $subData) {
$TemplateProcessor->cloneP($subName.'#'.$subIdx,2);
$TemplateProcessor->setValue($subName.'#'.$subIdx.'#0',[['text' => $subData['title'], 'pstyle' => 'numstyle-level-2', 'type' => MDWORD_TEXT]]);
$TemplateProcessor->setValue($subName.'#'.$subIdx.'#1',[['text' => $subData['content'], 'pstyle' => 'numstyle-level-3', 'type' => MDWORD_TEXT]]);
}
}else{
$TemplateProcessor->deleteP($subName);
}
}
$TemplateProcessor->deleteP('numstyle');
result IMG:
https://i.stack.imgur.com/sb0MB.png
Conditional sum in MongoDB
here is the Mysql Query:
SELECT name, sum(case when reason = 'fb' then score else 0 end) as fb, sum(case when reason = 'email' then score else 0 end) as email from multi_group group by name
I am trying to convert this query in MongoDb:
$query = Model::raw(function($collection) {
return $collection->aggregate([
[
'$group' => [
'_id' => [
'name'=>'$name',
'fb'=> [
'$cond'=> [
[ '$eq'=> ['$reason', 'fb']],
'$score',
0
]
],
]
],
]]);
});
any help would be highly appreciable.
It is not tested though but I believe this should be ok.
$query = Model::raw(function($collection) {
return $collection->aggregate([
[
'$group' => [
'_id' => [
'name'=>'$name',
]
'fb' => ['$sum' =>
[
'$cond'=> [
[ '$eq'=> ['$reason', "fb"]],
'$score',
0
]
]
],
'email'=> [ '$sum' =>
[
'$cond'=> [
[ '$eq'=> ['$reason', "email"]],
'$score',
0
]
]
]
]
],
]);
});
i just changed 0 to 1 and it worked
$query = Model::raw(function($collection) {
return $collection->aggregate([
[
'$group' => [
'_id' => [
'name'=>'$name',
]
'fb' => ['$sum' =>
[
'$cond'=> [
[ '$eq'=> ['$reason', "fb"]],
'$score',
1
]
]
],
'email'=> [ '$sum' =>
[
'$cond'=> [
[ '$eq'=> ['$reason', "email"]],
'$score',
1
]
]
]
]
],
]);
});
Elasticsearch query with multiple attributs and values
I try to construct, in php, an query with different attribut: this following code work : $searchParams = [ 'body' => [ "from"=> 0, "size"=> 30000, 'query' => [ 'filtered'=> [ 'filter' => [ 'bool' => [ 'must' => [ 'terms' => [ 'field_support' => [105,106,1896,1897] ] ] ] ] ] ] ] ]; But when i add "term" it's not working: $searchParams = [ 'body' => [ "from"=> 0, "size"=> 30000, 'query' => [ 'filtered'=> [ 'filter' => [ 'bool' => [ 'must' => [ 'terms' => [ 'field_support' => [105,106,1896,1897] ], 'term' => [ 'title' => ["le jeu de la dame"] ] ] ] ] ] ] ] ]; I don't understand why it's doesn't works. Can somebody help me ? Thanks
You need to surround your terms and term query with another associative array, like this: $searchParams = [ 'body' => [ "from"=> 0, "size"=> 30000, 'query' => [ 'filtered'=> [ 'filter' => [ 'bool' => [ 'must' => [ [ 'terms' => [ 'field_support' => [105,106,1896,1897] ] ], [ 'term' => [ 'title' => ["le jeu de la dame"] ] ] ] ] ] ] ] ] ]; UPDATE Variant with match $searchParams = [ 'body' => [ "from"=> 0, "size"=> 30000, 'query' => [ 'filtered'=> [ 'query' => [ 'match' => [ 'title' => ["le jeu de la dame"] ] ], 'filter' => [ 'terms' => [ 'field_support' => [105,106,1896,1897] ] ] ] ] ] ];
ElasticSearch match query multiple terms PHP
I am trying to construct must query on multiple terms, the array looks like this:
$params = [
'body' => [
'query' => [
"bool" => [
"must" => [
"terms" => [
"categories" => [
"Seating",
],
],
"terms" => [
"attributes.Color" => [
"Black",
],
]
],
"filter" => [
"range" => [
"price" => [
"gte" => 39,
"lte" => 2999,
],
],
],
],
],
'from' => 0,
'size' => 3,
],
];
Which is represented in JSON like this:
{
"query": {
"bool": {
"must": {
"terms": {
"attributes.Color": ["Black"]
}
},
"filter": {
"range": {
"price": {
"gte": "39",
"lte": "2999"
}
}
}
}
},
"from": 0,
"size": 3
}
The problem is, JSON objects are represented as arrays in PHP so if I setup key for one array, it is rewritten. Do you have any idea on how to create multiple terms query in PHP?
Thanks in advance.
You need to add an additional array to enclose all your terms queries $params = [ 'body' => [ 'query' => [ "bool" => [ "must" => [ [ "terms" => [ "categories" => [ "Seating", ], ] ], [ "terms" => [ "attributes.Color" => [ "Black", ], ] ] ], "filter" => [ "range" => [ "price" => [ "gte" => 39, "lte" => 2999, ], ], ], ], ], 'from' => 0, 'size' => 3, ], ];
How to write global query in elasticsearch?
I want to create top search query using elasticsearch. I want to match category_name, brand_name and title from elasticsearch table. The match should be phrase and with or condition. My query: $query = [ "bool" => [ "must" => [ ["match" => ["is_published" => 1]], [ "multi_match" => [ "query" => $searchKey, "fields" => ["category_name", "brand_name", "title"] ] ], [ 'nested' => [ 'path' => 'category_with_in_title.parent_cat', 'query' => [ 'bool' => [ 'must' => [ ['match' => [ 'category_with_in_title.parent_cat.status' => 1, ]], ], ], ], ], ], [ 'nested' => [ 'path' => 'brand', 'query' => [ 'bool' => [ 'must' => [ 'match' => [ 'brand.approved_status' => 1, ], ], ], ], ], ], [ 'nested' => [ 'path' => 'default_product_low_price_with_seller.seller_detail', 'query' => [ 'bool' => [ 'must' => [ 'match' => [ 'default_product_low_price_with_seller.seller_detail.approve_status' => 1, ], ], ], ], ], ], [ 'nested' => [ 'path' => 'default_product_low_price_with_seller', 'query' => [ 'bool' => [ 'must' => [ 'match' => [ 'default_product_low_price_with_seller.status' => 1, ], ], ], ], ], ], ], ], ]; I use multi_match for that but how to use pharse in this query? I have to write whole word to search. For example : I want to search the record whose category_name = Tops I want result if i write "tops" or "top" or "to". But right now I have to write "Tops" the exact word. Thanks in advance...
You could use match_phrase_prefix, which is the same as match_phrase, except that it allows for prefix matches on the last term in the text. All that you need to do, is add "type": "phrase_prefix" to your multi_match query, like this: "multi_match" => [ "query" => $searchKey, "type": "phrase_prefix", "fields" => ["category_name", "brand_name", "title"] ] Let me know if this is what you're looking for.
Ideally you should use multi_match with cross_fields type, which will treat all fields as ONE big field and run your query on it. However, due to fuzziness being disabled on these, only the exact match will show. See Revelant Github Issue https://github.com/elastic/elasticsearch/issues/6866 Hence, my recommendation is to replace multi_match with fuzzy_like_this (elasticsearch version 1.x) or more_like_this (elasticsearch version 2.x). $query = [ "bool" => [ "must" => [ ["match" => ["is_published" => 1]], [ "fuzzy_like_this" => [ "fields" => ["category_name", "brand_name", "title"], "like_text" => $searchKey ] ], ....