SOLR - Getting all document entries from intersecting polygon of given search request - solr

I'm running a SOLR with a set of OSM Addresses.
On the other hand I have some polygons in the same collection.
I got the JTS in my solr, everything is working fine.
My problem: For example the user is searching for a specific address like this:
/solr/select?q=Bruhweg&wt=json
The result will look like something like this:
"type":["Feature"],
"wkt":["POLYGON((9.0650999 48.80407349974092,9.065108 48.80405349974092,9.0651604 48.804044599740934,9.0651758 48.80405819974092,9.0652663 48.804044699740935,9.0652795 48.804077499740934,9.065298 48.804074799740924,9.06531 48.80411229974091,9.0653315 48.80411249974092,9.0653495 48.804152299740906,9.0653595 48.804185299740894,9.065227 48.8042043997409,9.0652154 48.804206599740894,9.0652046 48.80417829974089,9.0651805 48.8041809997409,9.065163500000002 48.8041373997409,9.0651464 48.8041391997409,9.0651335 48.80409639974092,9.0651051 48.80409789974092,9.0650999 48.80407349974092))"],
"properties.label":"Bruhweg 11"
"properties.category":"address"
where the field "wkt" is matched to the correct SOLR Type, which we can simply verify with the following request:
solr/select?fq=wkt%3A%22Intersects(9.0650999%2048.80407349974092)%22&q=&wt=json*
Notice that I have just taken the first coordinate from "Bruhweg 11" polygon. The result looks like this:
"type":["Feature"],
"wkt":["POLYGON((9.0650999 48.80407349974092,9.065108 48.80405349974092,9.0651604 48.804044599740934,9.0651758 48.80405819974092,9.0652663 48.804044699740935,9.0652795 48.804077499740934,9.065298 48.804074799740924,9.06531 48.80411229974091,9.0653315 48.80411249974092,9.0653495 48.804152299740906,9.0653595 48.804185299740894,9.065227 48.8042043997409,9.0652154 48.804206599740894,9.0652046 48.80417829974089,9.0651805 48.8041809997409,9.065163500000002 48.8041373997409,9.0651464 48.8041391997409,9.0651335 48.80409639974092,9.0651051 48.80409789974092,9.0650999 48.80407349974092))"],
"properties.label":"Bruhweg 11"
"properties.category":"address"
"type":["Feature"],
"wkt":["POLYGON((9.04226364394244 48.78375351560371,9.056374594613018 48.78376897799828,9.059599869694331 48.78163342420202,9.081809522348271 48.78162969553386,9.081761686040636 48.78226547394644,9.082034238895682 48.78253237030596,9.0856383112481 48.783065728036505,9.081013408886774 48.784895520573016,9.08026549061692 48.78523860978792,9.075279465525824 48.78709720944531,9.075385415333642 48.78784623302399,9.075233988916805 48.78855044494239,9.07538936442188 48.789573632543714,9.076086792392704 48.7899895067132,9.076400978454831 48.79076807795856,9.076954863544922 48.791675940101136,9.077323565779931 48.79247426327167,9.077661454940172 48.79359088232947,9.07820886975919 48.79468135994337,9.078817709274189 48.79498392847467,9.079201898938019 48.79520667445914,9.08016333903955 48.79554857516962,9.079778914425672 48.79518198750416,9.079578091974522 48.79467583486249,9.07960878146339 48.79427927263826,9.079777474351143 48.794273758443296,9.079890211573053 48.79495800149708,9.08018722352202 48.795156515552904,9.080499405509059 48.795473674672415,9.080691862967708 48.795850379952874,9.080924981851217 48.79602374816294,9.081213923069749 48.79636161227024,9.08216503129647 48.797025378100585,9.082445049467385 48.796812064430696,9.082997510785853 48.79666782293686,9.083016532890815 48.798210792078066,9.084546369553149 48.79818997904426,9.08436196313672 48.79857684935421,9.084539100024378 48.798725962114545,9.084861025057869 48.79994602380419,9.084990671623789 48.80091802856458,9.08494424868377 48.80165186074672,9.085041682576207 48.80209339903589,9.08538756537159 48.802966378021715,9.086053469766966 48.80390370812341,9.085797560540206 48.803894003364,9.085814723600494 48.80437509265621,9.085407910580006 48.80612600144947,9.086188011009677 48.80771257109675,9.087281863093846 48.80971073096298,9.086304168618957 48.809607114458665,9.08560710806074 48.80961663014216,9.084061519923088 48.80938486330555,9.084077207035987 48.80980658042419,9.083543243778244 48.811250273222925,9.056400173581295 48.81120764569635,9.055584833918676 48.81131770190693,9.05233070753251 48.81010351728196,9.050449180583943 48.81143341235964,9.047719936766072 48.81048226708057,9.047480579846537 48.81086460229471,9.04435778697807 48.809744505510096,9.042626974936422 48.809303638995836,9.038908229735283 48.80850647660382,9.037144908448282 48.808184194812405,9.038129032787538 48.805980772861595,9.038328485640509 48.8051777307488,9.03824791543268 48.80471104904327,9.03876113924191 48.80479984728909,9.03889592317821 48.802984244443905,9.037701980314722 48.802949557020376,9.036369132836748 48.80272688628704,9.035368430087201 48.802290085608014,9.035368259304592 48.8020471956323,9.033685064639178 48.801228620567926,9.032644752493526 48.800737922085965,9.03217057774127 48.8000889091118,9.032098034258505 48.799508062093246,9.031417252535123 48.79921048432656,9.031802215987176 48.798784151506815,9.031441019924467 48.798238377399365,9.03225196905176 48.797687782137466,9.033547957749326 48.79595641436032,9.038695453795164 48.79394510865497,9.03934415364024 48.7933001500083,9.041676969957162 48.7917058788909,9.043068750531523 48.789672193708604,9.043444520390391 48.788257529857816,9.043555307907576 48.787275490180576,9.042249027750703 48.785802079685375,9.042512195810728 48.784854079302804,9.042199907427747 48.7840458175582,9.04226364394244 48.78375351560371))"],
"properties.label":"polygonA",
"properties.category":"polygons"
What I want:
If the user is just searching for Bruhweg I want as result the address AND the polygonA from category polygons
Any Idea how to solve this?

Related

how do I filter my values using an array?

I am trying to sift through some free text answers on geographical locations. As one of the steps, I want to check if the answer is any of the 290 municipalities in my country. As 290 entries would make my code cumbersome/hard to read I try saving them in an array, like below:
Data resorTEST;
keep R_res_ort_namn R_res_ort_txt R_kom_lan R_kommun;
set resor1TEST resor2TEST resor3TEST;
R_res_ort_namn=strip(lowcase(R_res_ort_namn));
R_res_ort_txt=strip(lowcase(R_res_ort_txt));
R_kom_lan=strip(lowcase(R_kom_lan));
array kommuner{290} $ ("upplands väsby" "vallentuna" "österåker" "värmdö"
"järfälla" "ekerö" "huddinge" "botkyrka" "salem"
"haninge" "tyresö" "upplands-bro" "nykvarn" "täby"
"danderyd" "sollentuna" "stockholm" "södertälje" "nacka" "sundbyberg"
"solna" "lidingö" "vaxholm" "norrtälje" "sigtuna" "nynäshamn"
"håbo" "älvkarleby" "knivsta" "heby" "tierp" "uppsala"
"enköping" "östhammar" "vingåker" "gnesta" "nyköping" "oxelösund" "flen"
"katrineholm" "eskilstuna" "strängnäs" "trosa" "ödeshög" "ydre"
"kinda" "boxholm" "åtvidaberg" "finspång" "valdemarsvik" "linköping"
"norrköping" "söderköping" "motala" "vadstena" "mjölby" "aneby"
"gnosjö" "mullsjö" "habo" "gislaved" "vaggeryd" "jönköping"
"nässjö" "värnamo" "sävsjö" "vetlanda" "eksjö" "tranås"
"uppvidinge" "lessebo" "tingsryd" "alvesta" "älmhult" "markaryd"
"växjö" "ljungby" "högsby" "torsås" "mörbylånga" "hultsfred"
"mönsterås" "emmaboda" "kalmar" "nybro" "oskarshamn" "västervik"
"vimmerby" "borgholm" "gotland" "olofström" "karlskrona" "ronneby"
"karlshamn" "sölvesborg" "svalöv" "staffanstorp" "burlöv" "vellinge"
"östra göinge" "örkelljunga" "bjuv" "kävlinge" "lomma" "svedala"
"skurup" "sjöbo" "hörby" "höör" "tomelilla" "bromölla"
"osby" "perstorp" "klippan" "åstorp" "båstad" "malmö"
"lund" "landskrona" "helsingborg" "höganäs" "eslöv" "ystad"
"trelleborg" "kristianstad" "simrishamn" "ängelholm" "hässleholm" "hylte"
"halmstad" "laholm" "falkenberg" "varberg" "kungsbacka" "härryda"
"partille" "öckerö" "stenungsund" "tjörn" "orust" "sotenäs"
"munkedal" "tanum" "dals-ed" "färgelanda" "ale" "lerum"
"vårgårda" "bollebygd" "grästorp" "essunga" "karlsborg" "gullspång"
"tranemo" "bengtsfors" "mellerud" "lilla edet" "mark" "svenljunga"
"herrljunga" "vara" "götene" "tibro" "töreboda" "göteborg"
"mölndal" "kungälv" "lysekil" "uddevalla" "strömstad" "vänersborg"
"trollhättan" "alingsås" "borås" "ulricehamn" "åmål" "mariestad"
"lidköping" "skara" "skövde" "hjo" "tidaholm" "falköping"
"kil" "eda" "torsby" "storfors" "hammarö" "munkfors"
"forshaga" "grums" "årjäng" "sunne" "karlstad" "kristinehamn"
"filipstad" "hagfors" "arvika" "säffle" "lekeberg" "laxå"
"hallsberg" "degerfors" "hällefors" "ljusnarsberg" "örebro" "kumla"
"askersund" "karlskoga" "nora" "lindesberg" "skinnskatteberg" "surahammar"
"kungsör" "hallstahammar" "norberg" "västerås" "sala" "fagersta"
"köping" "arboga" "vansbro" "malung-sälen" "gagnef" "leksand"
"rättvik" "orsa" "älvdalen" "smedjebacken" "mora" "falun"
"borlänge" "säter" "hedemora" "avesta" "ludvika" "ockelbo"
"hofors" "ovanåker" "nordanstig" "ljusdal" "gävle" "sandviken"
"söderhamn" "bollnäs" "hudiksvall" "ånge" "timrå" "härnösand"
"sundsvall" "kramfors" "sollefteå" "örnsköldsvik" "ragunda" "bräcke"
"krokom" "strömsund" "åre" "berg" "härjedalen" "östersund"
"nordmaling" "bjurholm" "vindeln" "robertsfors" "norsjö" "malå"
"storuman" "sorsele" "dorotea" "vännäs" "vilhelmina" "åsele"
"umeå" "lycksele" "skellefteå" "arvidsjaur" "arjeplog" "jokkmokk"
"överkalix" "kalix" "övertorneå" "pajala" "gällivare" "älvsbyn"
"luleå" "piteå" "boden" "haparanda" "kiruna");
/*if not missing(R_res_ort_namn) then R_kommun=prxchange("s/^.*-(.* kommun)/$1/",1,R_res_ort_namn);
else if prxmatch("/^.*([a-zA-Z]*? kommun).*$/",R_res_ort_txt) then R_kommun=prxchange("s/^.*?([a-zA-Z]*? kommun).*$/$1/",-1,R_res_ort_txt);
else if prxmatch("/^.*([a-zA-Z]*? kommun).*$/",R_kom_lan) then R_kommun=prxchange("s/^.*?([a-zA-Z]*? kommun).*$/$1/",-1,R_kom_lan);
else */if R_res_ort_txt in kommuner then R_kommun=R_res_ort_txt;
run;
However, for some reason this does not seem to work for all of the municipalities. The municipality of "uppsala" works for instance, but not the municipality of "ängelholm".
I have tried stripping the variables of whitespace and converting everything to lowercase. What am I doing wrong?
Additional info:
For some reason it does work flawlessly if I skip the array and just copy-paste the exact same list of municipality names into a parenthesis following the in-operator. I would however need to repeat this step 5-6 times and this solution would make my code quite cumbersome.

You are defining the ARRAY
Array kommuner{290} $
with character length 8. See what happens when you fix that.

Map does not fill polygons in Google data studio filled map

I'm trying to follow this tutorial to include a filled map in google studio. I've simplified my data (in Google BigQuery) so it is just simple polygons and an ID string:
WKT,origin
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"POLYGON ((-122.278671 37.827178,-122.278593 37.827164,-122.278528 37.827146,-122.278481 37.827133,-122.27812 37.827033,-122.277956 37.826993,-122.277909 37.827156,-122.277868 37.82732,-122.277977 37.827337,-122.278074 37.827666,-122.278206 37.828111,-122.278226 37.828177,-122.278299 37.828394,-122.27832 37.828454,-122.278343 37.828522,-122.278366 37.828592,-122.278381 37.828635,-122.278426 37.82876,-122.278441 37.828803,-122.278463 37.828864,-122.278369 37.829117,-122.278251 37.829429,-122.278215 37.82954,-122.278061 37.829934,-122.2779 37.830366,-122.277606 37.831136,-122.277556 37.831276,-122.277343 37.831835,-122.277415 37.831849,-122.277842 37.831915,-122.277977 37.831942,-122.277842 37.832304,-122.277821 37.832304,-122.277731 37.832292,-122.277684 37.832286,-122.27754 37.832268,-122.27743 37.832251,-122.277275 37.832227,-122.277204 37.832216,-122.277168 37.832297,-122.276943 37.832898,-122.276766 37.833361,-122.276679 37.833595,-122.27641 37.834279,-122.276146 37.83496,-122.275896 37.835661,-122.275607 37.83643,-122.275638 37.836447,-122.274641 37.836408,-122.274398 37.836441,-122.27367 37.836544,-122.273428 37.836578,-122.273356 37.836582,-122.272977 37.836621,-122.272961 37.836623,-122.272236 37.836722,-122.271628 37.836792,-122.271516 37.836805,-122.27118 37.836857,-122.270804 37.836906,-122.26968 37.837055,-122.269305 37.837105,-122.269268 37.837121,-122.269234 37.837136,-122.269151 37.837149,-122.269112 37.837156,-122.269029 37.837169,-122.268886 37.837192,-122.268784 37.837214,-122.268703 37.837232,-122.268459 37.837275,-122.268438 37.837279,-122.268327 37.837304,-122.268296 37.837307,-122.267935 37.837346,-122.267385 37.837408,-122.267064 37.83744,-122.266653 37.837482,-122.266589 37.837489,-122.266448 37.837511,-122.26612 37.837565,-122.265835 37.837606,-122.265631 37.837636,-122.265647 37.837578,-122.265755 37.837034,-122.266115 37.835227,-122.266118 37.835217,-122.266236 37.834625,-122.266258 37.834514,-122.266299 37.834312,-122.266327 37.834181,-122.266351 37.834071,-122.266379 37.833937,-122.266465 37.833538,-122.266494 37.833405,-122.266514 37.83331,-122.266578 37.833025,-122.266599 37.832931,-122.266628 37.832774,-122.266718 37.832303,-122.266748 37.832147,-122.266777 37.831985,-122.266865 37.8315,-122.266895 37.831339,-122.266939 37.831193,-122.266941 37.831181,-122.267006 37.830878,-122.267043 37.830698,-122.267077 37.830538,-122.267251 37.829656,-122.267277 37.82953,-122.267396 37.828952,-122.267419 37.828852,-122.267456 37.82869,-122.267555 37.828261,-122.267566 37.828205,-122.267599 37.828043,-122.267643 37.827829,-122.267828 37.827044,-122.267913 37.826942,-122.26824 37.826555,-122.2683 37.826485,-122.268368 37.826304,-122.268452 37.826078,-122.268507 37.825931,-122.268541 37.825796,-122.268541 37.825569,-122.268519 37.825298,-122.268411 37.825041,-122.268476 37.824813,-122.268546 37.824532,-122.268563 37.824462,-122.26883 37.824531,-122.269048 37.824571,-122.269348 37.824631,-122.269686 37.824696,-122.27274 37.825464,-122.273365 37.825637,-122.274402 37.825924,-122.274453 37.825935,-122.275061 37.826059,-122.275111 37.826176,-122.275129 37.826104,-122.275136 37.82608,-122.278488 37.826848,-122.278611 37.826878,-122.278638 37.826959,-122.27865 37.826993,-122.27872 37.827188,-122.278671 37.827178))","06001401000"
However, when I try to include this in the report, the map is completely filled. The tutorial (the map of Washington state underneath) works perfectly.
In this image, you can zoom in to see the polygons and they look fine. However, the "fill" does not fill the polygons, but instead the entire map. I've tried changing the CRS, as well as going between multipolygons and simple polygons. I've also played with what goes in the location field. But no matter what, the first record covers the map and is identified on mouseover.
The report is here.
Edit: Using BigQuery Geo Viz, I have found that BigQuery somehow adds a section of coordinates that covers the entire globe:
{ "origin": "06001401000", "WKT": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [180, 90], [-180, 90], [-180, -90], [180, -90], [180, 90] ], [ [-122.278671, 37.827178], [-122.278593, 37.827164], [-122.278528, 37.827146], [-122.278481, 37.827133], [-122.27812, 37.827033], ...
However, I cannot see this in the raw data.

The issue seems to be somewhere in the upload step. Big Query allows for upload of .csv files with WKT, but will not automatically detect WKT (as explained here). If the geo field is manually specified, it seems a set of coordinates that represent the planar map are added. Thus the "fill" field fills the entire map. These coordinates are not visible when querying the data in BigQuery.
A workaround is to let BigQuery convert it after upload:
SELECT ST_GEOGFROM(WKT) as tract_geo,
origin
FROM mydata

Codeigniter SUM query brings only one row

When I add SUM in Codeigniter SELECT, it returns only one row. But when I remove it, it returns all of the possible matching entries.
$this->db->where('posts.status',1)
->select('posts.title')
->select('posts.description')
->select('posts.posted_by')
->select('posts.posted_on')
->select('posts.category')
->from('posts')
->join('categories','posts.category=categories.id','LEFT')
->select('categories.title as cat_title')
->join('users','users.id=posts.posted_by','LEFT')
->select('users.username')
->select('users.first_name')
->select('users.last_name')
// this section is causing to return only one entry/row,
// when I remove/comment this section, it brings the desired results
->join('votes','votes.post_id=posts.id',"LEFT")
->select('SUM(upvote) as upvote_count')
->select('SUM(downvote) as downvote_count')
->get()
->result_object();

Try to add:
->group_by('posts.id')
After
->select('SUM(downvote) as downvote_count')
So now query will be:
$this->db->where('posts.status',1)
->select('posts.title')
->select('posts.description')
->select('posts.posted_by')
->select('posts.posted_on')
->select('posts.category')
->from('posts')
->join('categories','posts.category=categories.id','LEFT')
->select('categories.title as cat_title')
->join('users','users.id=posts.posted_by','LEFT')
->select('users.username')
->select('users.first_name')
->select('users.last_name')
// this section is causing to return only one entry/row,
// when I remove/comment this section, it brings the desired results
->join('votes','votes.post_id=posts.id',"LEFT")
->select('SUM(upvote) as upvote_count')
->select('SUM(downvote) as downvote_count')
->group_by('posts.id')
->get()
->result_object();

SQL Server : geography data type: GeomFromGml

I have troubles to load data into a geography data type:
DECLARE #g geography;
DECLARE #x xml;
SET #x = '<gml:MultiSurface gml:id="HVO.20584" srsName="urn:ogc:def:crs:EPSG::5514" srsDimension="2" xmlns:gml="http://www.opengis.net/gml/3.2">
<gml:surfaceMember>
<gml:Polygon gml:id="HVO.20584.1">
<gml:exterior>
<gml:LinearRing>
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</gml:LinearRing>
</gml:exterior>
</gml:Polygon>
</gml:surfaceMember>
</gml:MultiSurface>';
SET #g = geography::GeomFromGml(#x, 4326);
I get this exception:
A .NET Framework error occurred during execution of user-defined
routine or aggregate "geography": System.FormatException: 24129: The
given XML instance is not valid because the top-level tag is
gml:MultiSurface. The top-level element of the input Geographic Markup
Language (GML) must contain a Point, LineString, Polygon, MultiPoint,
MultiGeometry, MultiCurve, MultiSurface, Arc, ArcString,
CompositeCurve, PolygonPatch or FullGlobe (geography Data Type only)
object.
What do I need to change in the #x variable to get it working?
Thanks

Note, the answer here refers to the question of dealing with the coordinates above, that are not geodesic, as raised in the comments, and not with the original question of parsing the XML, which was answered in the comments.
After a bit of digging, it seems that the Czech Republic's projection is now known as http://spatialreference.org/ref/sr-org/czech-s-jtsk-gis-esri102067/. If you look at that page you will see that the coordinates are in meters, and are negative, just as in your XML above. This WKT representation gives you information about the datum, spheroid and other characteristics of the projection.
SQL Server does not currently support projecting from one coordinate system to another, so you have two options.
1). Load it as is, but as a geometry not a geography datatype, so your last line above would become
SET #g = geometry::GeomFromGml(#x, 5514);
where 9819 appears to be the SRID code in the above link (although it is all a bit unclear). This actually doesn't matter that much, as you can't convert from one spatial reference system to another, but you will be able to perform any geometry functions on your geometries, such as STIntersects, STContains, STBuffer, etc.
2). Convert it to lat/lon (4326) outside of SQL Server and then import as a geography data type, if that it what you really want. There is as tool called gdaltransform which does this, eg,
gdaltransform -s_srs "+proj=krovak +lat_0=49.5 +lon_0=24.83333333333333 +alpha=0 +k=0.9999 +x_0=0 +y_0=0 +ellps=bessel +towgs84=570.8,85.7,462.8,4.998,1.587,5.261,3.56 +units=m +no_defs" -t_srs EPSG:4326
-747267.00 -1056204.00
24.8307791587916 50.4239544736181 32.0127759873867
14.3847700978484 49.9644982150517 45.4088854994625
where you enter the first line, with the projection info, hit Return, then enter the coordinates and then you get the answer. From this you can see that it is giving a lat/lon 14.38, 49.96, which is in Prague, so definitely the Czech Republic.
This approach isn't very scalable, so you would probably want to look at something like Proj4j which is a Java library for doing coordinate transforms.

Solr Polygon Search issues

We have trouble with the solr Spatial queries some polygon queries just don´t work, we don´t know why. If you have a field of type solr.SpatialRecursivePrefixTreeFieldType
<!-- fieldType to store a location in the new format of Solr Version 4 -->
<fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"
spatialContextFactory="com.spatial4j.core.context.jts.JtsSpatialContextFactory"
distErrPct="0.025"
maxDistErr="0.000009"
units="degrees"/>
and make a Query on the field with the following filter-query:
fq=fieldname:"IsWithin(POLYGON((10.949260925162957 50.687958071020525, 10.963822885556231 50.68239399969996, 10.964563833856873 50.68427156144517, 10.96703711832961 50.68658303201778, 10.971062408240995 50.68545999328907, 10.973908368601569 50.68537639297307, 10.977245419297885 50.683455151899885, 10.987904529571237 50.68294282194555, 10.991325387038 50.67963515860285, 10.994120583977482 50.67953326334638, 10.99521208549133 50.6789077661364, 11.001058877152785 50.678738633565445, 11.001548604905265 50.67818764634437, 11.001856364353715 50.677835397891904, 11.00558285688531 50.67803512409588, 11.0081512617408 50.67851875352985, 11.006105355255587 50.6765931916203, 11.007343317894337 50.675840952835756, 11.00508803742539 50.67549090681522, 11.003645117340879 50.67430948629124, 11.005941540214492 50.67061936637505, 11.006219536083469 50.67014126679768, 11.001299804762878 50.67083752214686, 11.001290248726937 50.66994678133127, 11.001266698032165 50.66775142007361, 10.994310850026004 50.6686811276132, 10.99361484218618 50.66578680941357, 10.995238751284973 50.66272061868265, 10.991757060004929 50.66144878694344, 10.98564228736983 50.656057950464636, 10.972933054968484 50.65619159367484, 10.966916033500995 50.654632430958905, 10.96636369345939 50.64608677373722, 10.962270574823638 50.645743297249716, 10.960072993917557 50.646759811319946, 10.959183606001607 50.64697929266767, 10.953790500283061 50.64683862129752, 10.950513303019612 50.645987649473184, 10.94433093410472 50.64467990104971, 10.944139287321171 50.64387083905674, 10.938406478377123 50.64367676951595, 10.936564706423367 50.64344079815689, 10.935796834794198 50.64303879575035, 10.934872743703187 50.64257439164639, 10.93427419432756 50.64211775581536, 10.933160359264956 50.641024208099076, 10.930818579187104 50.638720535539385, 10.930731698801951 50.63850491325951, 10.930573248685782 50.63819957997579, 10.930514584183914 50.63797485471301, 10.930483968228721 50.63772303174961, 10.930509448204717 50.637417013430884, 10.930559495850991 50.63670600493446, 10.930609790537858 50.636021988733695, 10.93062319254464 50.635940959080145, 10.930918118427178 50.63346819840206, 10.929554613720612 50.63173063011565, 10.928233196678372 50.63073800085285, 10.927700297053727 50.630337678088054, 10.928523643504606 50.62943775333723, 10.92872309691077 50.62921974159881, 10.928265672945901 50.62878750906588, 10.927639188094208 50.628566694106404, 10.926255509527108 50.62951454513081, 10.92251019209241 50.62758567817641, 10.922638213078281 50.62684244467462, 10.920936313471174 50.62702387937161, 10.92057977557142 50.62670125843647, 10.920152680177981 50.62639688838215, 10.918545217179695 50.62538597524043, 10.917792182353438 50.62501079438114, 10.911101933460412 50.62182259063344, 10.910534063522139 50.62158167018572, 10.910220857740773 50.62134884112989, 10.909963518297891 50.62103483348087, 10.907487776980194 50.61609483529123, 10.907185632204035 50.61550204988257, 10.907056244585032 50.61525956691028, 10.906628481384871 50.61485617486339, 10.895152937829938 50.610730036478415, 10.896242368859731 50.61247186463941, 10.896470601420656 50.61270502268978, 10.89663156493272 50.61334330885494, 10.896634921258965 50.613739197264394, 10.896609690263567 50.61409919288572, 10.896528427773802 50.6145223648505, 10.896432183751319 50.61484661316548, 10.896045213866357 50.61590967155394, 10.89592075624567 50.616243013829695, 10.895851037118929 50.616360223083014, 10.89585240754103 50.616522177442015, 10.896067734815928 50.61689934415773, 10.896183689961353 50.61723186255236, 10.896260192619177 50.6179154274055, 10.896263393697025 50.61829332089865, 10.896237700111788 50.618599331654885, 10.896016371366 50.619184942393495, 10.895837465600053 50.61977040740378, 10.895659620811532 50.62048183664009, 10.89552077688743 50.62078823450612, 10.89543827592144 50.62106744627099, 10.89541440081784 50.62158939599526, 10.895417747434317 50.621985284440285, 10.895419953189784 50.62224621091522, 10.895535536566323 50.62253374263596, 10.895650816938675 50.62278528438301, 10.895907993767457 50.623090326427935, 10.89702205813367 50.62436418220272, 10.897394394709464 50.624902766276065, 10.897581866399983 50.62532501473681, 10.897627895017118 50.625747749544246, 10.897615356639628 50.62593674492591, 10.89758943824656 50.626215763590146, 10.897451201612462 50.62659414347733, 10.897157596764943 50.62700005028155, 10.896204881347344 50.62808304669058, 10.895980612498475 50.62832675371888, 10.895770334536648 50.628552416954996, 10.89550476578125 50.62893123030415, 10.895365743634875 50.629219633049715, 10.895298437344238 50.62962476083249, 10.895301175148079 50.629948669556875, 10.895818784010213 50.63130826952094, 10.896231728685844 50.63233529670317, 10.896329308521908 50.63324913379934, 10.896471808085538 50.634162815888054, 10.896387784931676 50.63484873155491, 10.895853362204946 50.63539335124816, 10.895409731359035 50.636051929955904, 10.894831087434723 50.63668239938101, 10.89384501665182 50.63694287338006, 10.89321877746772 50.63725925036571, 10.89295453697872 50.63788864146319, 10.892601884032173 50.638689738782595, 10.892158656701907 50.639405438006676, 10.89142586330462 50.64018326820631, 10.891249605392286 50.64110163233304, 10.891209792351503 50.64141668728772, 10.891144841137194 50.64210973155851, 10.891149583241901 50.64267657195861, 10.891137616301116 50.64293754635428, 10.891225677492942 50.64331515274541, 10.891298535787737 50.64356684242054, 10.891485499888212 50.643926118463014, 10.891671788482595 50.644204417006435, 10.891786196727102 50.6443479929879, 10.892544546820737 50.64534416832987, 10.893174209281039 50.6461788173941, 10.89351799460153 50.646672522785806, 10.893705215492075 50.64705878762453, 10.894882157433013 50.650689855006604, 10.89496919918023 50.65094149403119, 10.894994089923097 50.65100770424872, 10.894997994355002 50.65101034884133, 10.89526819691057 50.651193363455, 10.896169293366368 50.651475958949085, 10.897116063005601 50.65184409397104, 10.897793725703924 50.652270282727144, 10.89865162997703 50.652752981995214, 10.89955326530773 50.65309268499627, 10.900497891510984 50.65320368900172, 10.901396850557482 50.65322914045231, 10.902342714743133 50.653482964947386, 10.903109828708763 50.6538516751205, 10.903877201611301 50.65424894803099, 10.904724676108554 50.65470480867649, 10.905207763672205 50.654919062782206, 10.905577393216744 50.65510671959086, 10.90571963130609 50.65518720031583, 10.906032572458294 50.65536605678589, 10.906360295427413 50.65561684232866, 10.908203641750418 50.65761684566244, 10.908460620376147 50.65786787497885, 10.908759750304794 50.65808276386111, 10.90914317979857 50.65822537198042, 10.9096827055135 50.65841241475139, 10.910052143839932 50.65857306489363, 10.910322344422498 50.65871607046202, 10.910593099948478 50.658922057564695, 10.911461366599966 50.65946783407124, 10.913411561596815 50.66070256810259, 10.913667868428533 50.6608726087896, 10.914080443553491 50.66110507379473, 10.914449918280287 50.66126570988579, 10.91479092498766 50.661408451414985, 10.915358821001677 50.661595366186866, 10.915898410493476 50.66178237995819, 10.916565404597831 50.66196893251853, 10.918197483579679 50.66243092630801, 10.918680067924226 50.66257314454925, 10.918978548993268 50.662707029974975, 10.919547769889176 50.6630378833151, 10.9202031483812 50.66350338704778, 10.923424641120155 50.66438241716476, 10.92520056514587 50.66507772742578, 10.928643442713414 50.66691855773872, 10.931248634299681 50.668474484061434, 10.931482632159552 50.66928340878597, 10.93237915166098 50.66977493796525, 10.934586015828625 50.671098336511534, 10.935184017704177 50.671455998806955, 10.935810765428391 50.67185853851997, 10.9360388137638 50.67201963882665, 10.936252537002147 50.67216279720219, 10.93640887044287 50.6722251919134, 10.93797214347626 50.672840129973565, 10.93838469191684 50.6730455159511, 10.938683803183944 50.673233335093705, 10.938870320684071 50.6734935625849, 10.938944158876946 50.67381720153802, 10.938904808606113 50.67415026758631, 10.938906837075631 50.674366205911554, 10.93906453424018 50.67457255591528, 10.939249959577586 50.67471581619838, 10.940034490045216 50.675324682544115, 10.940291821850632 50.67558463848537, 10.940622161521706 50.676078257435236, 10.94075248591146 50.67638368467924, 10.940783437202692 50.67666249709234, 10.943222552787118 50.678524713221, 10.944035691536161 50.67915143877554, 10.944773250404303 50.679274574957105, 10.945325950398017 50.67931743817247, 10.945708292314846 50.67931596622919, 10.946768093608876 50.68189437491155, 10.94729335869263 50.68482498983269, 10.947961248322919 50.68588856337425, 10.949260925162957 50.687958071020525)))"
(even if the index is empty) solr hangs and loads forever without error logging or showing results. This happens to a lot of queries / polygons that we try to query. What are we doing wrong, or is the polygon search not yet usable in solr 4.5?

I found the answer here: http://wiki.apache.org/solr/SolrTomcat#Enabling_Longer_Query_Requests
Enabling Longer Query Requests
If you try to submit too long a GET query to Solr, then Tomcat will reject your HTTP request on the grounds that the HTTP header is too large; symptoms may include an HTTP 400 Bad Request error or (if you execute the query in a web browser) a blank browser window.
If you need to enable longer queries, you can set the maxHttpHeaderSize attribute on the HTTP Connector element in your server.xml file. The default value is 4K. (See http://tomcat.apache.org/tomcat-5.5-doc/config/http.html)
The polygons where just too long to submit to solr via GET-request. We changed the Tomcat settings now everything works fine.

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