Error when executing a query

2490
3
Jump to solution
11-29-2014 09:17 PM
EdwardSohn2
New Contributor III

Executing a query against featurelayer:

var queryTask = new Query(layer.url) ;

var esriQuery = new EsriQuery() ;

esriQuery.outFields = ["*"] ;

if (query.where)

     esriQuery.where = query.where;

else

     esriQuery.where = "1=1";

queryTask.execute(esriQuery,  function(featureSet){

//***

});

get the following error:

0x800a138f - JavaScript runtime error: Unable to get property 'setTransform' of undefined or null reference

from http://js.arcgis.com/3.10/

This error occurs for some featurelayers, and works for at least one of them used.

Might this go away by upgrading to the latest version?  Currently using 3.10.

Tried upgrading by changing all the references of 3.10 to 3.12.  But this led to other Javascript initialization errors...

0 Kudos
1 Solution

Accepted Solutions
EdwardSohn2
New Contributor III

Resolved this for now by hiding the original layer instead of removing it.

View solution in original post

0 Kudos
3 Replies
RobertScheitlin__GISP
MVP Emeritus

Edward,

  You have some things in your code that look wrong:

var queryTask = new Query(layer.url) ;
var esriQuery = new EsriQuery() ;
esriQuery.outFields = ["*"] ;
if (query.where)
    esriQuery.where = query.where;
else
    esriQuery.where = "1=1";
queryTask.execute(esriQuery,  function(featureSet){
//***
});

var queryTask = new Query(layer.url);
var esriQuery = new EsriQuery() ;

normally looks like:

var queryTask = new QueryTask(layer.url);
var esriQuery = new Query() ;

What do your requires look like?

0 Kudos
EdwardSohn2
New Contributor III

The requires are:

"esri/tasks/QueryTask",

"esri/tasks/query",

...

Query,

EsriQuery,

So the Query is actually QueryTask and EsriQuery is actually Query.

The issue seems to happen because normally the layer comes in as part of the map layers from ArcGisOnline.  Currently the code removes the layer from the map using removeLayer and wraps the original layer in the ClusterLayer implementation (downloaded from samples) and sets the clusterlayer's Id to the removed layer's Id then adds it to the map using addLayer.  The above query occurs on the _refresh event for the cluster layer.

When I don't remove the original layer and keep both layers on the map (and adjust the clusterlayer Id to something different for this) then the error doesn't happen.  However when the original layer is removed, the error occurs.  The thing is this only happens for some of the feature layers, i.e. when I replace it with the clustered layer implementation, and not for some of the other feature layers.

Here is the code for the ClusterLayer implementation.  (Changed the require to use QueryTask and EsriQuery instead.)

define([

  "dojo/_base/declare",

  "dojo/_base/array",

  "esri/Color",

  "dojo/_base/connect",

  "esri/SpatialReference",

  "esri/geometry/Point",

  "esri/graphic",

  "esri/symbols/SimpleMarkerSymbol",

  "esri/symbols/TextSymbol",

  "esri/dijit/PopupTemplate",

  "esri/layers/GraphicsLayer",

  "dojo/_base/lang",

  ,

  "esri/tasks/QueryTask",

  "esri/tasks/query"

], function (

  declare, arrayUtils, Color, connect,

  SpatialReference, Point, Graphic, SimpleMarkerSymbol, TextSymbol,

  PopupTemplate, GraphicsLayer, lang, QueryTask, EsriQuery

) {

    return declare([GraphicsLayer], {

        constructor: function (options) {

            // options:

            //   data:  Object[]

            //     Array of objects. Required. Object are required to have properties named x, y and attributes. The x and y coordinates have to be numbers that represent a points coordinates.

            //   distance:  Number?

            //     Optional. The max number of pixels between points to group points in the same cluster. Default value is 50.

            //   labelColor:  String?

            //     Optional. Hex string or array of rgba values used as the color for cluster labels. Default value is #fff (white).

            //   labelOffset:  String?

            //     Optional. Number of pixels to shift a cluster label vertically. Defaults to -5 to align labels with circle symbols. Does not work in IE.

            //   resolution:  Number

            //     Required. Width of a pixel in map coordinates. Example of how to calculate:

            //     map.extent.getWidth() / map.width

            //   showSingles:  Boolean?

            //     Optional. Whether or graphics should be displayed when a cluster graphic is clicked. Default is true.

            //   singleSymbol:  MarkerSymbol?

            //     Marker Symbol (picture or simple). Optional. Symbol to use for graphics that represent single points. Default is a small gray SimpleMarkerSymbol.

            //   singleTemplate:  PopupTemplate?

            //     PopupTemplate</a>. Optional. Popup template used to format attributes for graphics that represent single points. Default shows all attributes as "attribute = value" (not recommended).

            //   maxSingles:  Number?

            //     Optional. Threshold for whether or not to show graphics for points in a cluster. Default is 1000.

            //   webmap:  Boolean?

            //     Optional. Whether or not the map is from an ArcGIS.com webmap. Default is false.

            //   spatialReference:  SpatialReference?

            //     Optional. Spatial reference for all graphics in the layer. This has to match the spatial reference of the map. Default is 102100. Omit this if the map uses basemaps in web mercator.

            this._clusterTolerance = options.distance || 50;

            this._clusterData = options.data || [];

            this._clusters = [];

            this._clusterLabelColor = options.labelColor || "#000";

            // labelOffset can be zero so handle it differently

            this._clusterLabelOffset = (options.hasOwnProperty("labelOffset")) ? options.labelOffset : -5;

            // graphics that represent a single point

            this._singles = []; // populated when a graphic is clicked

            this._showSingles = options.hasOwnProperty("showSingles") ? options.showSingles : true;

            // symbol for single graphics

            var SMS = SimpleMarkerSymbol;

            this._singleSym = options.singleSymbol || new SMS("circle", 6, null, new Color("#888"));

            this._singleTemplate = options.singleTemplate || new PopupTemplate({ "title": "", "description": "{*}" });

            this._maxSingles = options.maxSingles || 1000;

            this._webmap = options.hasOwnProperty("webmap") ? options.webmap : false;

            //hack: should probably base it off the map

            this._sr = options.spatialReference || new SpatialReference({ "wkid": 102100 });

           

            //this._extentChange = null;

            this._layer = options.layer;

           

            this._queryTask = new QueryTask(this._layer.url);

            this._esriQuery = new EsriQuery();

            this._chunk = options.chunk;

        },

        refresh: function () {

            if (this._layer.visible)

                this._refresh();

            else

                this.clear();

        },

        _refresh: function () {

            if (!this._layer.visible)

                return;

            this._queryData();

        },

        _queryData: function () {

           

            this._esriQuery.returnGeometry = true;

            this._esriQuery.outFields = this._layer._outFields;

            this._esriQuery.geometry = this._layer._map.extent;

            if (this._layer.getDefinitionExpression())

               

                this._esriQuery.where = this._layer.getDefinitionExpression();

               

            else

                this._esriQuery.where = "1=1";

           

            this._queryTask.execute(this._esriQuery, lang.hitch(this, function (featureSet) {

                var inputInfo = {};

                inputInfo.data = dojo.map(featureSet.features, function (feature) {

                    var pointX = feature.geometry.x;

                    var pointY = feature.geometry.y;

                    var att = feature.attributes;

                    return {

                        "x": pointX,

                        "y": pointY,

                        "attributes": att

                    };

                });

                this._clusterData.length = 0;

                this._clusterData = inputInfo.data;

                // update resolution

                this._clusterResolution = this._map.extent.getWidth() / this._map.width;

                this.clear();

                this._clusterGraphics();

            }));

        },

        // override esri/layers/GraphicsLayer methods

        _setMap: function (map, surface) {

            // calculate and set the initial resolution

            this._clusterResolution = map.extent.getWidth() / map.width; // probably a bad default...

            this._layer._map = map;

            this._layer._map.on("click", lang.hitch(this, function (e) {

                if (this._layer._map.infoWindow.isShowing)

                    this._layer._map.infoWindow.hide();

            }));

            // GraphicsLayer will add its own listener here

            var div = this.inherited(arguments);

            return div;

        },

        _unsetMap: function () {

            this.inherited(arguments);

            //connect.disconnect(this._extentChange);

        },

        // public ClusterLayer methods

        add: function (p) {

            // Summary:  The argument is a data point to be added to an existing cluster. If the data point falls within an existing cluster, it is added to that cluster and the cluster's label is updated. If the new point does not fall within an existing cluster, a new cluster is created.

            //

            // if passed a graphic, use the GraphicsLayer's add method

            if (p.declaredClass) {

                this.inherited(arguments);

                return;

            }

            // add the new data to _clusterData so that it's included in clusters

            // when the map level changes

            this._clusterData.push(p);

            var clustered = false;

            // look for an existing cluster for the new point

            for (var i = 0; i < this._clusters.length; i++) {

                var c = this._clusters;

                if (this._clusterTest(p, c)) {

                    // add the point to an existing cluster

                    this._clusterAddPoint(p, c);

                    // update the cluster's geometry

                    this._updateClusterGeometry(c);

                    // update the label

                    this._updateLabel(c);

                    clustered = true;

                    break;

                }

            }

            if (!clustered) {

                this._clusterCreate(p);

                p.attributes.clusterCount = 1;

                this._showCluster(p);

            }

        },

        clear: function () {

            // Summary:  Remove all clusters and data points.

            this.inherited(arguments);

            this._clusters.length = 0;

        },

        clearSingles: function (singles) {

            // Summary:  Remove graphics that represent individual data points.

            var s = singles || this._singles;

            arrayUtils.forEach(s, function (g) {

                this.remove(g);

            }, this);

            this._singles.length = 0;

        },

        onClick: function (e) {

            // remove any previously showing single features

            this.clearSingles(this._singles);

            // find single graphics that make up the cluster that was clicked

            // would be nice to use filter but performance tanks with large arrays in IE

            var singles = [];

            for (var i = 0, il = this._clusterData.length; i < il; i++) {

                if (e.graphic.attributes.clusterId == this._clusterData.attributes.clusterId) {

                    singles.push(this._clusterData);

                }

            }

            if (singles.length > this._maxSingles) {

                alert("Sorry, that cluster contains more than " + this._maxSingles + " points. Zoom in for more detail.");

                return;

            } else {

                // stop the click from bubbling to the map

                e.stopPropagation();

                //this._map.infoWindow.show(e.graphic.geometry);

                this._addSingles(singles, e.graphic.geometry);

                this._map.infoWindow.show(e.graphic.geometry);

            }

        },

        // internal methods

        _clusterGraphics: function () {

            // first time through, loop through the points

            for (var j = 0, jl = this._clusterData.length; j < jl; j++) {

                // see if the current feature should be added to a cluster

                var point = this._clusterData;

                var clustered = false;

                var numClusters = this._clusters.length;

                for (var i = 0; i < this._clusters.length; i++) {

                    var c = this._clusters;

                    if (this._clusterTest(point, c)) {

                        this._clusterAddPoint(point, c);

                        clustered = true;

                        break;

                    }

                }

                if (!clustered) {

                    this._clusterCreate(point);

                }

            }

            this._showAllClusters();

        },

        _clusterTest: function (p, cluster) {

            var distance = (

              Math.sqrt(

                Math.pow((cluster.x - p.x), 2) + Math.pow((cluster.y - p.y), 2)

              ) / this._clusterResolution

            );

            return (distance <= this._clusterTolerance);

        },

        // points passed to clusterAddPoint should be included

        // in an existing cluster

        // also give the point an attribute called clusterId

        // that corresponds to its cluster

        _clusterAddPoint: function (p, cluster) {

            // average in the new point to the cluster geometry

            var count, x, y;

            count = cluster.attributes.clusterCount;

            x = (p.x + (cluster.x * count)) / (count + 1);

            y = (p.y + (cluster.y * count)) / (count + 1);

            cluster.x = x;

            cluster.y = y;

            // build an extent that includes all points in a cluster

            // extents are for debug/testing only...not used by the layer

            if (p.x < cluster.attributes.extent[0]) {

                cluster.attributes.extent[0] = p.x;

            } else if (p.x > cluster.attributes.extent[2]) {

                cluster.attributes.extent[2] = p.x;

            }

            if (p.y < cluster.attributes.extent[1]) {

                cluster.attributes.extent[1] = p.y;

            } else if (p.y > cluster.attributes.extent[3]) {

                cluster.attributes.extent[3] = p.y;

            }

            // increment the count

            cluster.attributes.clusterCount++;

            // attributes might not exist

            if (!p.hasOwnProperty("attributes")) {

                p.attributes = {};

            }

            // give the graphic a cluster id

            p.attributes.clusterId = cluster.attributes.clusterId;

        },

        // point passed to clusterCreate isn't within the

        // clustering distance specified for the layer so

        // create a new cluster for it

        _clusterCreate: function (p) {

            var clusterId = this._clusters.length + 1;

            // console.log("cluster create, id is: ", clusterId);

            // p.attributes might be undefined

            if (!p.attributes) {

                p.attributes = {};

            }

            p.attributes.clusterId = clusterId;

            // create the cluster

            var cluster = {

                "x": p.x,

                "y": p.y,

                "attributes": {

                    "clusterCount": 1,

                    "clusterId": clusterId,

                    "extent": [p.x, p.y, p.x, p.y]

                }

            };

            this._clusters.push(cluster);

        },

        _showAllClusters: function () {

            for (var i = 0, il = this._clusters.length; i < il; i++) {

                var c = this._clusters;

                this._showCluster(c);

            }

        },

        _showCluster: function (c) {

            var point = new Point(c.x, c.y, this._sr);

            this.add(

              new Graphic(

                point,

                null,

                c.attributes

              )

            );

            // code below is used to not label clusters with a single point

            if (c.attributes.clusterCount == 1) {

                return;

            }

            // show number of points in the cluster

            var label = new TextSymbol(c.attributes.clusterCount)

              .setColor(new Color(this._clusterLabelColor))

              .setOffset(0, this._clusterLabelOffset);

            this.add(

              new Graphic(

                point,

                label,

                c.attributes

              )

            );

        },

        _addSingles: function (singles, c) {

            // add single graphics to the map

            arrayUtils.forEach(singles, function (p) {

                var g = new Graphic(

                  this._showSingles ? new Point(p.x, p.y, this._sr) : new Point(c.x, c.y, this._sr),

                  this._singleSym,

                  p.attributes,

                  this._singleTemplate

                );

                this._singles.push(g);

                if (this._showSingles) {

                    this.add(g);

                }

            }, this);

            this._map.infoWindow.setFeatures(this._singles);

        },

        _updateClusterGeometry: function (c) {

            // find the cluster graphic

            var cg = arrayUtils.filter(this.graphics, function (g) {

                return !g.symbol &&

                       g.attributes.clusterId == c.attributes.clusterId;

            });

            if (cg.length == 1) {

                cg[0].geometry.update(c.x, c.y);

            } else {

                console.log("didn't find exactly one cluster geometry to update: ", cg);

            }

        },

        _updateLabel: function (c) {

            // find the existing label

            var label = arrayUtils.filter(this.graphics, function (g) {

                return g.symbol &&

                       g.symbol.declaredClass == "esri.symbol.TextSymbol" &&

                       g.attributes.clusterId == c.attributes.clusterId;

            });

            if (label.length == 1) {

                // console.log("update label...found: ", label);

                this.remove(label[0]);

                var newLabel = new TextSymbol(c.attributes.clusterCount)

                  .setColor(new Color(this._clusterLabelColor))

                  .setOffset(0, this._clusterLabelOffset);

                this.add(

                  new Graphic(

                    new Point(c.x, c.y, this._sr),

                    newLabel,

                    c.attributes

                  )

                );

                // console.log("updated the label");

            } else {

                console.log("didn't find exactly one label: ", label);

            }

        },

        // debug only...never called by the layer

        _clusterMeta: function () {

            // print total number of features

            console.log("Total:  ", this._clusterData.length);

            // add up counts and print it

            var count = 0;

            arrayUtils.forEach(this._clusters, function (c) {

                count += c.attributes.clusterCount;

            });

            console.log("In clusters:  ", count);

        }

    });

});

//calling above

  var clusterLayer = new ClusterLayer({

                "data": [],

                "distance": 100,

                "id": "clusters",

                "labelColor": "#fff",

                "labelOffset": 10,

                "singleColor": "#888",

                "layer": layer.layerObject,

                "id": layer.id,

                "labelOffset": -5,

                "singleSymbol": layer.layerObject.renderer.symbol,

                "showSingles": false,

                "maxSingles": 10000,

                "singleTemplate": layer.layerObject.infoTemplate,

                "chunk": 1000

            });

            var defaultSym = new esri.symbol.SimpleMarkerSymbol().setSize(4);

            var renderer = new esri.renderer.ClassBreaksRenderer(defaultSym, "clusterCount");

            var blue = new esri.symbol.PictureMarkerSymbol("../images/cluster_icons/BluePin1LargeB.png", 32, 32).setOffset(0, 0); //15

            var green = new esri.symbol.PictureMarkerSymbol("../images/cluster_icons/GreenPin1LargeB.png", 64, 64).setOffset(0, 0);

            var red = new esri.symbol.PictureMarkerSymbol("../images/cluster_icons/RedPin1LargeB.png", 72, 72).setOffset(0, 0);

            renderer.addBreak(1, 1, layer.layerObject.renderer.symbol);

            renderer.addBreak(2, 10, blue);

            renderer.addBreak(10, 200, green);

            renderer.addBreak(200, 10000, red);

            clusterLayer.setRenderer(renderer);

            clusterLayer.title = layer.title;

            clusterLayer._layer.setVisibility(layer.visibility);

            this.parentContext.map.removeLayer(layer.layerObject);

            this.parentContext.map.addLayer(clusterLayer);

0 Kudos
EdwardSohn2
New Contributor III

Resolved this for now by hiding the original layer instead of removing it.

0 Kudos