Release 3.9.5

Handle Infinity and NaN values for dataviews

HOWTO_RELEASE

@@ -1,7 +1,7 @@
 1. Test (make clean all check), fix if broken before proceeding
 2. Ensure proper version in package.json
 3. Ensure NEWS section exists for the new version, review it, add release date
-4. Recreate yarn.lock with: `yarn upgrade`
+4. If there are modified dependencies in package.json, update them with `yarn upgrade {{package_name}}@{{version}}`
 5. Commit package.json, yarn.lock, NEWS
 6. git tag -a Major.Minor.Patch # use NEWS section as content
 7. Stub NEWS/package for next version

NEWS.md

@@ -1,5 +1,23 @@
 # Changelog
 
+## 3.9.5
+Released 2017-06-27
+
+ - Dataviews: support special numeric values (±Infinity, NaN) #700
+
+
+## 3.9.4
+Released 2017-06-22
+
+Announcements:
+ - Upgrades camshaft to [0.55.6](https://github.com/CartoDB/camshaft/releases/tag/0.55.6).
+
+## 3.9.3
+Released 2017-06-16
+
+Announcements:
+ - Upgrades camshaft to [0.55.5](https://github.com/CartoDB/camshaft/releases/tag/0.55.5).
+
 ## 3.9.2
 Released 2017-06-16
 

lib/cartodb/models/dataview/aggregation.js

@@ -5,11 +5,32 @@ var debug = require('debug')('windshaft:widget:aggregation');
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
+var filteredQueryTpl = dot.template([
+    'filtered_source AS (',
+    '  SELECT *',
+    '  FROM ({{=it._query}}) _cdb_filtered_source',
+    '  {{?it._aggregationColumn && it._isFloatColumn}}WHERE',
+    '    {{=it._aggregationColumn}} != \'infinity\'::float',
+    '  AND',
+    '    {{=it._aggregationColumn}} != \'-infinity\'::float',
+    '  AND',
+    '    {{=it._aggregationColumn}} != \'NaN\'::float{{?}}',
+    ')'
+].join(' \n'));
+
 var summaryQueryTpl = dot.template([
     'summary AS (',
     '  SELECT',
     '  count(1) AS count,',
     '  sum(CASE WHEN {{=it._column}} IS NULL THEN 1 ELSE 0 END) AS nulls_count',
+    '  {{?it._isFloatColumn}},sum(',
+    '    CASE',
+    '      WHEN {{=it._aggregationColumn}} = \'infinity\'::float OR {{=it._aggregationColumn}} = \'-infinity\'::float',
+    '      THEN 1',
+    '      ELSE 0',
+    '    END',
+    '  ) AS infinities_count,',
+    '  sum(CASE WHEN {{=it._aggregationColumn}} = \'NaN\'::float THEN 1 ELSE 0 END) AS nans_count{{?}}',
     '  FROM ({{=it._query}}) _cdb_aggregation_nulls',
     ')'
 ].join('\n'));
@@ -18,7 +39,7 @@ var rankedCategoriesQueryTpl = dot.template([
     'categories AS(',
     '  SELECT {{=it._column}} AS category, {{=it._aggregation}} AS value,',
     '    row_number() OVER (ORDER BY {{=it._aggregation}} desc) as rank',
-    '  FROM ({{=it._query}}) _cdb_aggregation_all',
+    '  FROM filtered_source',
     '  {{?it._aggregationColumn!==null}}WHERE {{=it._aggregationColumn}} IS NOT NULL{{?}}',
     '  GROUP BY {{=it._column}}',
     '  ORDER BY 2 DESC',
@@ -44,22 +65,25 @@ var categoriesSummaryCountQueryTpl = dot.template([
 ].join('\n'));
 
 var rankedAggregationQueryTpl = dot.template([
-    'SELECT CAST(category AS text), value, false as agg, nulls_count, min_val, max_val, count, categories_count',
+    'SELECT CAST(category AS text), value, false as agg, nulls_count, min_val, max_val,',
+    '    count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     '  FROM categories, summary, categories_summary_min_max, categories_summary_count',
     '  WHERE rank < {{=it._limit}}',
     'UNION ALL',
-    'SELECT \'Other\' category, {{=it._aggregationFn}}(value) as value, true as agg, nulls_count, min_val, max_val,',
-    '       count, categories_count',
+    'SELECT \'Other\' category, {{=it._aggregationFn}}(value) as value, true as agg, nulls_count,',
+    '       min_val, max_val, count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     '  FROM categories, summary, categories_summary_min_max, categories_summary_count',
     '  WHERE rank >= {{=it._limit}}',
-    'GROUP BY nulls_count, min_val, max_val, count, categories_count'
+    'GROUP BY nulls_count, min_val, max_val, count,',
+    '  categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}'
 ].join('\n'));
 
 var aggregationQueryTpl = dot.template([
     'SELECT CAST({{=it._column}} AS text) AS category, {{=it._aggregation}} AS value, false as agg,',
-    '  nulls_count, min_val, max_val, count, categories_count',
+    '  nulls_count, min_val, max_val, count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     'FROM ({{=it._query}}) _cdb_aggregation_all, summary, categories_summary_min_max, categories_summary_count',
-    'GROUP BY category, nulls_count, min_val, max_val, count, categories_count',
+    'GROUP BY category, nulls_count, min_val, max_val, count,',
+    '  categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     'ORDER BY value DESC'
 ].join('\n'));
 
@@ -84,7 +108,7 @@ var TYPE = 'aggregation';
      }
  }
  */
-function Aggregation(query, options) {
+function Aggregation(query, options, queries) {
     if (!_.isString(options.column)) {
         throw new Error('Aggregation expects `column` in widget options');
     }
@@ -108,9 +132,11 @@ function Aggregation(query, options) {
     BaseWidget.apply(this);
 
     this.query = query;
+    this.queries = queries;
     this.column = options.column;
     this.aggregation = options.aggregation;
     this.aggregationColumn = options.aggregationColumn;
+    this._isFloatColumn = null;
 }
 
 Aggregation.prototype = new BaseWidget();
@@ -119,19 +145,39 @@ Aggregation.prototype.constructor = Aggregation;
 module.exports = Aggregation;
 
 Aggregation.prototype.sql = function(psql, override, callback) {
+    var self = this;
+
     if (!callback) {
         callback = override;
         override = {};
     }
 
+    if (this.aggregationColumn && this._isFloatColumn === null) {
+        this._isFloatColumn = false;
+        this.getColumnType(psql, this.aggregationColumn, this.queries.no_filters, function (err, type) {
+            if (!err && !!type) {
+                self._isFloatColumn = type.float;
+            }
+            self.sql(psql, override, callback);
+        });
+        return null;
+    }
+
     var _query = this.query;
 
     var aggregationSql;
 
     if (!!override.ownFilter) {
         aggregationSql = [
-            this.getCategoriesCTESql(_query, this.column, this.aggregation, this.aggregationColumn),
+            this.getCategoriesCTESql(
+                _query,
+                this.column,
+                this.aggregation,
+                this.aggregationColumn,
+                this._isFloatColumn
+            ),
             aggregationQueryTpl({
+                _isFloatColumn: this._isFloatColumn,
                 _query: _query,
                 _column: this.column,
                 _aggregation: this.getAggregationSql(),
@@ -140,8 +186,15 @@ Aggregation.prototype.sql = function(psql, override, callback) {
         ].join('\n');
     } else {
         aggregationSql = [
-            this.getCategoriesCTESql(_query, this.column, this.aggregation, this.aggregationColumn),
+            this.getCategoriesCTESql(
+                _query,
+                this.column,
+                this.aggregation,
+                this.aggregationColumn,
+                this._isFloatColumn
+            ),
             rankedAggregationQueryTpl({
+                _isFloatColumn: this._isFloatColumn,
                 _query: _query,
                 _column: this.column,
                 _aggregationFn: this.aggregation !== 'count' ? this.aggregation : 'sum',
@@ -155,30 +208,38 @@ Aggregation.prototype.sql = function(psql, override, callback) {
     return callback(null, aggregationSql);
 };
 
-Aggregation.prototype.getCategoriesCTESql = function(query, column, aggregation, aggregationColumn) {
+Aggregation.prototype.getCategoriesCTESql = function(query, column, aggregation, aggregationColumn, isFloatColumn) {
     return [
-                "WITH",
-                [
-                    summaryQueryTpl({
-                        _query: query,
-                        _column: column
-                    }),
-                    rankedCategoriesQueryTpl({
-                        _query: query,
-                        _column: column,
-                        _aggregation: this.getAggregationSql(),
-                        _aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
-                    }),
-                    categoriesSummaryMinMaxQueryTpl({
-                        _query: query,
-                        _column: column
-                    }),
-                    categoriesSummaryCountQueryTpl({
-                        _query: query,
-                        _column: column
-                    })
-                ].join(',\n')
-            ].join('\n');
+        "WITH",
+        [
+            filteredQueryTpl({
+                _isFloatColumn: isFloatColumn,
+                _query: this.query,
+                _column: this.column,
+                _aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
+            }),
+            summaryQueryTpl({
+                _isFloatColumn: isFloatColumn,
+                _query: query,
+                _column: column,
+                _aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
+            }),
+            rankedCategoriesQueryTpl({
+                _query: query,
+                _column: column,
+                _aggregation: this.getAggregationSql(),
+                _aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
+            }),
+            categoriesSummaryMinMaxQueryTpl({
+                _query: query,
+                _column: column
+            }),
+            categoriesSummaryCountQueryTpl({
+                _query: query,
+                _column: column
+            })
+        ].join(',\n')
+    ].join('\n');
 };
 
 var aggregationFnQueryTpl = dot.template('{{=it._aggregationFn}}({{=it._aggregationColumn}})');
@@ -193,6 +254,8 @@ Aggregation.prototype.format = function(result) {
     var categories = [];
     var count = 0;
     var nulls = 0;
+    var nans = 0;
+    var infinities = 0;
     var minValue = 0;
     var maxValue = 0;
     var categoriesCount = 0;
@@ -202,12 +265,15 @@ Aggregation.prototype.format = function(result) {
         var firstRow = result.rows[0];
         count = firstRow.count;
         nulls = firstRow.nulls_count;
+        nans = firstRow.nans_count;
+        infinities = firstRow.infinities_count;
         minValue = firstRow.min_val;
         maxValue = firstRow.max_val;
         categoriesCount = firstRow.categories_count;
 
         result.rows.forEach(function(row) {
-            categories.push(_.omit(row, 'count', 'nulls_count', 'min_val', 'max_val', 'categories_count'));
+            categories.push(_.omit(row, 'count', 'nulls_count', 'min_val',
+                'max_val', 'categories_count', 'nans_count', 'infinities_count'));
         });
     }
 
@@ -215,6 +281,8 @@ Aggregation.prototype.format = function(result) {
         aggregation: this.aggregation,
         count: count,
         nulls: nulls,
+        nans: nans,
+        infinities: infinities,
         min: minValue,
         max: maxValue,
         categoriesCount: categoriesCount,

lib/cartodb/models/dataview/base.js

@@ -1,3 +1,6 @@
+var dot = require('dot');
+dot.templateSettings.strip = false;
+
 function BaseDataview() {}
 
 module.exports = BaseDataview;
@@ -24,3 +27,42 @@ BaseDataview.prototype.getResult = function(psql, override, callback) {
 BaseDataview.prototype.search = function(psql, userQuery, callback) {
     return callback(null, this.format({ rows: [] }));
 };
+
+var FLOAT_OIDS = {
+    700: true,
+    701: true,
+    1700: true
+};
+
+var DATE_OIDS = {
+    1082: true,
+    1114: true,
+    1184: true
+};
+
+var columnTypeQueryTpl = dot.template(
+    'SELECT pg_typeof({{=it.column}})::oid FROM ({{=it.query}}) _cdb_column_type limit 1'
+);
+
+BaseDataview.prototype.getColumnType = function (psql, column, query, callback) {
+    var readOnlyTransaction = true;
+
+    var columnTypeQuery = columnTypeQueryTpl({
+        column: column, query: query
+    });
+
+    psql.query(columnTypeQuery, function(err, result) {
+        if (err) {
+            return callback(err);
+        }
+        var pgType = result.rows[0].pg_typeof;
+        callback(null, getPGTypeName(pgType));
+    }, readOnlyTransaction);
+};
+
+function getPGTypeName (pgType) {
+    return {
+        float: FLOAT_OIDS.hasOwnProperty(pgType),
+        date: DATE_OIDS.hasOwnProperty(pgType)
+    };
+}

lib/cartodb/models/dataview/formula.js

@@ -7,9 +7,19 @@ dot.templateSettings.strip = false;
 
 var formulaQueryTpl = dot.template([
     'SELECT',
-    '{{=it._operation}}({{=it._column}}) AS result,',
-    '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
-    'FROM ({{=it._query}}) _cdb_formula'
+    '  {{=it._operation}}({{=it._column}}) AS result,',
+    '  (SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
+    '  {{?it._isFloatColumn}},(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls',
+    '      WHERE {{=it._column}} = \'infinity\'::float OR {{=it._column}} = \'-infinity\'::float) AS infinities_count',
+    '  ,(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls',
+    '      WHERE {{=it._column}} = \'NaN\'::float) AS nans_count{{?}}',
+    'FROM ({{=it._query}}) _cdb_formula',
+    '{{?it._isFloatColumn && it._operation !== \'count\'}}WHERE',
+    '  {{=it._column}} != \'infinity\'::float',
+    'AND',
+    '  {{=it._column}} != \'-infinity\'::float',
+    'AND',
+    '  {{=it._column}} != \'NaN\'::float{{?}}'
 ].join('\n'));
 
 var VALID_OPERATIONS = {
@@ -31,7 +41,7 @@ var TYPE = 'formula';
      }
  }
  */
-function Formula(query, options) {
+function Formula(query, options, queries) {
     if (!_.isString(options.operation)) {
         throw new Error('Formula expects `operation` in widget options');
     }
@@ -47,8 +57,10 @@ function Formula(query, options) {
     BaseWidget.apply(this);
 
     this.query = query;
+    this.queries = queries;
     this.column = options.column || '1';
     this.operation = options.operation;
+    this._isFloatColumn = null;
 }
 
 Formula.prototype = new BaseWidget();
@@ -57,14 +69,27 @@ Formula.prototype.constructor = Formula;
 module.exports = Formula;
 
 Formula.prototype.sql = function(psql, override, callback) {
+    var self = this;
+
     if (!callback) {
         callback = override;
         override = {};
     }
 
-    var _query = this.query;
+    if (this._isFloatColumn === null) {
+        this._isFloatColumn = false;
+        this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
+            if (!err && !!type) {
+                self._isFloatColumn = type.float;
+            }
+            self.sql(psql, override, callback);
+        });
+        return null;
+    }
+
     var formulaSql = formulaQueryTpl({
-        _query: _query,
+        _isFloatColumn: this._isFloatColumn,
+        _query: this.query,
         _operation: this.operation,
         _column: this.column
     });
@@ -78,13 +103,17 @@ Formula.prototype.format = function(result) {
     var formattedResult = {
         operation: this.operation,
         result: 0,
-        nulls: 0
+        nulls: 0,
+        nans: 0,
+        infinities: 0
     };
 
     if (result.rows.length) {
         formattedResult.operation = this.operation;
         formattedResult.result = result.rows[0].result;
         formattedResult.nulls = result.rows[0].nulls_count;
+        formattedResult.nans = result.rows[0].nans_count;
+        formattedResult.infinities = result.rows[0].infinities_count;
     }
 
     return formattedResult;

lib/cartodb/models/dataview/histogram.js

@@ -5,20 +5,32 @@ var debug = require('debug')('windshaft:dataview:histogram');
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
-var columnTypeQueryTpl = dot.template(
-    'SELECT pg_typeof({{=it.column}})::oid FROM ({{=it.query}}) _cdb_histogram_column_type limit 1'
-);
 var columnCastTpl = dot.template("date_part('epoch', {{=it.column}})");
 
 var BIN_MIN_NUMBER = 6;
 var BIN_MAX_NUMBER = 48;
 
+var filteredQueryTpl = dot.template([
+    'filtered_source AS (',
+    '  SELECT *',
+    '  FROM ({{=it._query}}) _cdb_filtered_source',
+    '  WHERE',
+    '    {{=it._column}} IS NOT NULL',
+    '  {{?it._isFloatColumn}}AND',
+    '    {{=it._column}} != \'infinity\'::float',
+    '  AND',
+    '    {{=it._column}} != \'-infinity\'::float',
+    '  AND',
+    '    {{=it._column}} != \'NaN\'::float{{?}}',
+    ')'
+].join(' \n'));
+
 var basicsQueryTpl = dot.template([
     'basics AS (',
     '  SELECT',
     '    max({{=it._column}}) AS max_val, min({{=it._column}}) AS min_val,',
     '    avg({{=it._column}}) AS avg_val, count(1) AS total_rows',
-    '  FROM ({{=it._query}}) _cdb_basics',
+    '  FROM filtered_source',
     ')'
 ].join(' \n'));
 
@@ -27,7 +39,7 @@ var overrideBasicsQueryTpl = dot.template([
     '  SELECT',
     '    max({{=it._end}}) AS max_val, min({{=it._start}}) AS min_val,',
     '    avg({{=it._column}}) AS avg_val, count(1) AS total_rows',
-    '  FROM ({{=it._query}}) _cdb_basics',
+    '  FROM filtered_source',
     ')'
 ].join('\n'));
 
@@ -38,7 +50,7 @@ var iqrQueryTpl = dot.template([
     '    SELECT quartile, max(_cdb_iqr_column) AS quartile_max from (',
     '      SELECT {{=it._column}} AS _cdb_iqr_column, ntile(4) over (order by {{=it._column}}',
     '    ) AS quartile',
-    '    FROM ({{=it._query}}) _cdb_rank) _cdb_quartiles',
+    '    FROM filtered_source) _cdb_quartiles',
     '    WHERE quartile = 1 or quartile = 3',
     '    GROUP BY quartile',
     '  ) _cdb_iqr',
@@ -57,7 +69,7 @@ var binsQueryTpl = dot.template([
     '        )',
     '      )',
     '    END AS bins_number',
-    '  FROM basics, iqrange, ({{=it._query}}) _cdb_bins',
+    '  FROM basics, iqrange, filtered_source',
     '  LIMIT 1',
     ')'
 ].join('\n'));
@@ -77,11 +89,34 @@ var nullsQueryTpl = dot.template([
     ')'
 ].join('\n'));
 
+var infinitiesQueryTpl = dot.template([
+    'infinities AS (',
+    '  SELECT',
+    '    count(*) AS infinities_count',
+    '  FROM ({{=it._query}}) _cdb_histogram_infinities',
+    '  WHERE',
+    '    {{=it._column}} = \'infinity\'::float',
+    '  OR',
+    '    {{=it._column}} = \'-infinity\'::float',
+    ')'
+].join('\n'));
+
+var nansQueryTpl = dot.template([
+    'nans AS (',
+    '  SELECT',
+    '    count(*) AS nans_count',
+    '  FROM ({{=it._query}}) _cdb_histogram_infinities',
+    '  WHERE {{=it._column}} = \'NaN\'::float',
+    ')'
+].join('\n'));
+
 var histogramQueryTpl = dot.template([
     'SELECT',
     '    (max_val - min_val) / cast(bins_number as float) AS bin_width,',
     '    bins_number,',
     '    nulls_count,',
+    '    {{?it._isFloatColumn}}infinities_count,',
+    '    nans_count,{{?}}',
     '    avg_val,',
     '    CASE WHEN min_val = max_val',
     '      THEN 0',
@@ -91,9 +126,9 @@ var histogramQueryTpl = dot.template([
     '    max({{=it._column}})::numeric AS max,',
     '    avg({{=it._column}})::numeric AS avg,',
     '    count(*) AS freq',
-    'FROM ({{=it._query}}) _cdb_histogram, basics, nulls, bins',
-    'WHERE {{=it._column}} IS NOT NULL',
-    'GROUP BY bin, bins_number, bin_width, nulls_count, avg_val',
+    'FROM filtered_source, basics, nulls, bins{{?it._isFloatColumn}}, infinities, nans{{?}}',
+    'GROUP BY bin, bins_number, bin_width, nulls_count,',
+    '  avg_val{{?it._isFloatColumn}}, infinities_count, nans_count{{?}}',
     'ORDER BY bin'
 ].join('\n'));
 
@@ -127,50 +162,49 @@ Histogram.prototype.constructor = Histogram;
 
 module.exports = Histogram;
 
-var DATE_OIDS = {
-    1082: true,
-    1114: true,
-    1184: true
-};
-
 Histogram.prototype.sql = function(psql, override, callback) {
+    var self = this;
+
     if (!callback) {
         callback = override;
         override = {};
     }
 
-    var self = this;
-
-    var _column = this.column;
-
-    var columnTypeQuery = columnTypeQueryTpl({
-        column: _column, query: this.queries.no_filters
-    });
-
     if (this._columnType === null) {
-        psql.query(columnTypeQuery, function(err, result) {
+        this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
             // assume numeric, will fail later
             self._columnType = 'numeric';
-            if (!err && !!result.rows[0]) {
-                var pgType = result.rows[0].pg_typeof;
-                if (DATE_OIDS.hasOwnProperty(pgType)) {
-                    self._columnType = 'date';
-                }
+            if (!err && !!type) {
+                self._columnType = Object.keys(type).find(function (key) {
+                    return type[key];
+                });
             }
             self.sql(psql, override, callback);
         }, true); // use read-only transaction
         return null;
     }
 
+    var histogramSql = this._buildQuery(override);
+
+    return callback(null, histogramSql);
+};
+
+Histogram.prototype._buildQuery = function (override) {
+    var filteredQuery, basicsQuery, binsQuery;
+    var _column = this.column;
+    var _query = this.query;
+
     if (this._columnType === 'date') {
         _column = columnCastTpl({column: _column});
     }
 
-    var _query = this.query;
+    filteredQuery = filteredQueryTpl({
+        _isFloatColumn: this._columnType === 'float',
+        _query: _query,
+        _column: _column
+    });
 
-    var basicsQuery, binsQuery;
-
-    if (override && _.has(override, 'start') && _.has(override, 'end') && _.has(override, 'bins')) {
+    if (this._shouldOverride(override)) {
         debug('overriding with %j', override);
         basicsQuery = overrideBasicsQueryTpl({
             _query: _query,
@@ -190,7 +224,7 @@ Histogram.prototype.sql = function(psql, override, callback) {
             _column: _column
         });
 
-        if (override && _.has(override, 'bins')) {
+        if (this._shouldOverrideBins(override)) {
             binsQuery = [
                 overrideBinsQueryTpl({
                     _bins: override.bins
@@ -211,18 +245,34 @@ Histogram.prototype.sql = function(psql, override, callback) {
         }
     }
 
+    var cteSql = [
+        filteredQuery,
+        basicsQuery,
+        binsQuery,
+        nullsQueryTpl({
+            _query: _query,
+            _column: _column
+        })
+    ];
 
-    var histogramSql = [
-        "WITH",
-        [
-            basicsQuery,
-            binsQuery,
-            nullsQueryTpl({
+    if (this._columnType === 'float') {
+        cteSql.push(
+            infinitiesQueryTpl({
+                _query: _query,
+                _column: _column
+            }),
+            nansQueryTpl({
                 _query: _query,
                 _column: _column
             })
-        ].join(',\n'),
+        );
+    }
+
+    var histogramSql = [
+        "WITH",
+        cteSql.join(',\n'),
         histogramQueryTpl({
+            _isFloatColumn: this._columnType === 'float',
             _query: _query,
             _column: _column
         })
@@ -230,7 +280,15 @@ Histogram.prototype.sql = function(psql, override, callback) {
 
     debug(histogramSql);
 
-    return callback(null, histogramSql);
+    return histogramSql;
+};
+
+Histogram.prototype._shouldOverride = function (override) {
+    return override && _.has(override, 'start') && _.has(override, 'end') && _.has(override, 'bins');
+};
+
+Histogram.prototype._shouldOverrideBins = function (override) {
+    return override && _.has(override, 'bins');
 };
 
 Histogram.prototype.format = function(result, override) {
@@ -241,6 +299,8 @@ Histogram.prototype.format = function(result, override) {
     var width = getWidth(override);
     var binsStart = getBinStart(override);
     var nulls = 0;
+    var infinities = 0;
+    var nans = 0;
     var avg;
 
     if (result.rows.length) {
@@ -249,10 +309,12 @@ Histogram.prototype.format = function(result, override) {
         width = firstRow.bin_width || width;
         avg = firstRow.avg_val;
         nulls = firstRow.nulls_count;
+        infinities = firstRow.infinities_count;
+        nans = firstRow.nans_count;
         binsStart = override.hasOwnProperty('start') ? getBinStart(override) : firstRow.min;
 
         buckets = result.rows.map(function(row) {
-            return _.omit(row, 'bins_number', 'bin_width', 'nulls_count', 'avg_val');
+            return _.omit(row, 'bins_number', 'bin_width', 'nulls_count', 'infinities_count', 'nans_count', 'avg_val');
         });
     }
 
@@ -261,6 +323,8 @@ Histogram.prototype.format = function(result, override) {
         bins_count: binsCount,
         bins_start: binsStart,
         nulls: nulls,
+        infinities: infinities,
+        nans: nans,
         avg: avg,
         bins: buckets
     };

lib/cartodb/models/dataview/overviews/aggregation.js

@@ -1,14 +1,36 @@
 var BaseOverviewsDataview = require('./base');
 var BaseDataview = require('../aggregation');
+var debug = require('debug')('windshaft:widget:aggregation:overview');
 
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
+var filteredQueryTpl = dot.template([
+    'filtered_source AS (',
+    '  SELECT *',
+    '  FROM ({{=it._query}}) _cdb_filtered_source',
+    '  {{?it._aggregationColumn  && it._isFloatColumn}}WHERE',
+    '    {{=it._aggregationColumn}} != \'infinity\'::float',
+    '  AND',
+    '    {{=it._aggregationColumn}} != \'-infinity\'::float',
+    '  AND',
+    '    {{=it._aggregationColumn}} != \'NaN\'::float{{?}}',
+    ')'
+].join(' \n'));
+
 var summaryQueryTpl = dot.template([
     'summary AS (',
     '  SELECT',
     '  sum(_feature_count) AS count,',
     '  sum(CASE WHEN {{=it._column}} IS NULL THEN 1 ELSE 0 END) AS nulls_count',
+    '  {{?it._isFloatColumn}},sum(',
+    '    CASE',
+    '      WHEN {{=it._aggregationColumn}} = \'infinity\'::float OR {{=it._aggregationColumn}} = \'-infinity\'::float',
+    '      THEN 1',
+    '      ELSE 0',
+    '    END',
+    '  ) AS infinities_count,',
+    '  sum(CASE WHEN {{=it._aggregationColumn}} = \'NaN\'::float THEN 1 ELSE 0 END) AS nans_count{{?}}',
     '  FROM ({{=it._query}}) _cdb_aggregation_nulls',
     ')'
 ].join('\n'));
@@ -17,7 +39,7 @@ var rankedCategoriesQueryTpl = dot.template([
     'categories AS(',
     '  SELECT {{=it._column}} AS category, {{=it._aggregation}} AS value,',
     '    row_number() OVER (ORDER BY {{=it._aggregation}} desc) as rank',
-    '  FROM ({{=it._query}}) _cdb_aggregation_all',
+    '  FROM filtered_source',
     '  {{?it._aggregationColumn!==null}}WHERE {{=it._aggregationColumn}} IS NOT NULL{{?}}',
     '  GROUP BY {{=it._column}}',
     '  ORDER BY 2 DESC',
@@ -36,40 +58,46 @@ var categoriesSummaryCountQueryTpl = dot.template([
     '  SELECT count(1) AS categories_count',
     '  FROM (',
     '    SELECT {{=it._column}} AS category',
-    '    FROM ({{=it._query}}) _cdb_categories',
+    '    FROM filtered_source',
     '    GROUP BY {{=it._column}}',
     '  ) _cdb_categories_count',
     ')'
 ].join('\n'));
 
 var rankedAggregationQueryTpl = dot.template([
-    'SELECT CAST(category AS text), value, false as agg, nulls_count, min_val, max_val, count, categories_count',
+    'SELECT CAST(category AS text), value, false as agg, nulls_count, min_val, max_val,',
+    '    count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     '  FROM categories, summary, categories_summary_min_max, categories_summary_count',
     '  WHERE rank < {{=it._limit}}',
     'UNION ALL',
-    'SELECT \'Other\' category, sum(value), true as agg, nulls_count, min_val, max_val, count, categories_count',
+    'SELECT \'Other\' category, sum(value), true as agg, nulls_count, min_val, max_val,',
+    '    count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     '  FROM categories, summary, categories_summary_min_max, categories_summary_count',
     '  WHERE rank >= {{=it._limit}}',
-    'GROUP BY nulls_count, min_val, max_val, count, categories_count'
+    'GROUP BY nulls_count, min_val, max_val, count,',
+    '  categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}'
 ].join('\n'));
 
 var aggregationQueryTpl = dot.template([
     'SELECT CAST({{=it._column}} AS text) AS category, {{=it._aggregation}} AS value, false as agg,',
-    '  nulls_count, min_val, max_val, count, categories_count',
-    'FROM ({{=it._query}}) _cdb_aggregation_all, summary, categories_summary_min_max, categories_summary_count',
-    'GROUP BY category, nulls_count, min_val, max_val, count, categories_count',
+    '  nulls_count, min_val, max_val, count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
+    'FROM filtered_source, summary, categories_summary_min_max, categories_summary_count',
+    'GROUP BY category, nulls_count, min_val, max_val, count,',
+    '  categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
     'ORDER BY value DESC'
 ].join('\n'));
 
 var CATEGORIES_LIMIT = 6;
 
- function Aggregation(query, options, queryRewriter, queryRewriteData, params) {
-    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params);
+ function Aggregation(query, options, queryRewriter, queryRewriteData, params, queries) {
+    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
 
     this.query = query;
+    this.queries = queries;
     this.column = options.column;
     this.aggregation = options.aggregation;
     this.aggregationColumn = options.aggregationColumn;
+    this._isFloatColumn = null;
 }
 
 Aggregation.prototype = Object.create(BaseOverviewsDataview.prototype);
@@ -78,27 +106,49 @@ Aggregation.prototype.constructor = Aggregation;
 module.exports = Aggregation;
 
 Aggregation.prototype.sql = function(psql, override, callback) {
+    var self = this;
+
     if (!callback) {
         callback = override;
         override = {};
     }
 
     var _query = this.rewrittenQuery(this.query);
+    var _aggregationColumn = this.aggregation !== 'count' ? this.aggregationColumn : null;
+
+    if (this.aggregationColumn && this._isFloatColumn === null) {
+        this._isFloatColumn = false;
+        this.getColumnType(psql, this.aggregationColumn, this.queries.no_filters, function (err, type) {
+            if (!err && !!type) {
+                self._isFloatColumn = type.float;
+            }
+            self.sql(psql, override, callback);
+        });
+        return null;
+    }
 
     var aggregationSql;
     if (!!override.ownFilter) {
         aggregationSql = [
             "WITH",
             [
-                summaryQueryTpl({
+                filteredQueryTpl({
+                    _isFloatColumn: this._isFloatColumn,
                     _query: _query,
-                    _column: this.column
+                    _column: this.column,
+                    _aggregationColumn: _aggregationColumn
+                }),
+                summaryQueryTpl({
+                    _isFloatColumn: this._isFloatColumn,
+                    _query: _query,
+                    _column: this.column,
+                    _aggregationColumn: _aggregationColumn
                 }),
                 rankedCategoriesQueryTpl({
                     _query: _query,
                     _column: this.column,
                     _aggregation: this.getAggregationSql(),
-                    _aggregationColumn: this.aggregation !== 'count' ? this.aggregationColumn : null
+                    _aggregationColumn: _aggregationColumn
                 }),
                 categoriesSummaryMinMaxQueryTpl({
                     _query: _query,
@@ -110,6 +160,7 @@ Aggregation.prototype.sql = function(psql, override, callback) {
                 })
             ].join(',\n'),
             aggregationQueryTpl({
+                _isFloatColumn: this._isFloatColumn,
                 _query: _query,
                 _column: this.column,
                 _aggregation: this.getAggregationSql(),
@@ -120,15 +171,23 @@ Aggregation.prototype.sql = function(psql, override, callback) {
         aggregationSql = [
             "WITH",
             [
-                summaryQueryTpl({
+                filteredQueryTpl({
+                    _isFloatColumn: this._isFloatColumn,
                     _query: _query,
-                    _column: this.column
+                    _column: this.column,
+                    _aggregationColumn: _aggregationColumn
+                }),
+                summaryQueryTpl({
+                    _isFloatColumn: this._isFloatColumn,
+                    _query: _query,
+                    _column: this.column,
+                    _aggregationColumn: _aggregationColumn
                 }),
                 rankedCategoriesQueryTpl({
                     _query: _query,
                     _column: this.column,
                     _aggregation: this.getAggregationSql(),
-                    _aggregationColumn: this.aggregation !== 'count' ? this.aggregationColumn : null
+                    _aggregationColumn: _aggregationColumn
                 }),
                 categoriesSummaryMinMaxQueryTpl({
                     _query: _query,
@@ -140,6 +199,7 @@ Aggregation.prototype.sql = function(psql, override, callback) {
                 })
             ].join(',\n'),
             rankedAggregationQueryTpl({
+                _isFloatColumn: this._isFloatColumn,
                 _query: _query,
                 _column: this.column,
                 _limit: CATEGORIES_LIMIT
@@ -147,6 +207,8 @@ Aggregation.prototype.sql = function(psql, override, callback) {
         ].join('\n');
     }
 
+    debug(aggregationSql);
+
     return callback(null, aggregationSql);
 };
 

lib/cartodb/models/dataview/overviews/base.js

@@ -1,14 +1,15 @@
 var _ = require('underscore');
 var BaseDataview = require('../base');
 
-function BaseOverviewsDataview(query, queryOptions, BaseDataview, queryRewriter, queryRewriteData, options) {
+function BaseOverviewsDataview(query, queryOptions, BaseDataview, queryRewriter, queryRewriteData, options, queries) {
   this.BaseDataview = BaseDataview;
   this.query = query;
   this.queryOptions = queryOptions;
   this.queryRewriter = queryRewriter;
   this.queryRewriteData = queryRewriteData;
   this.options = options;
-  this.baseDataview = new this.BaseDataview(this.query, this.queryOptions);
+  this.queries = queries;
+  this.baseDataview = new this.BaseDataview(this.query, this.queryOptions, this.queries);
 }
 
 module.exports = BaseOverviewsDataview;

lib/cartodb/models/dataview/overviews/formula.js

@@ -1,34 +1,61 @@
 var BaseOverviewsDataview = require('./base');
 var BaseDataview = require('../formula');
+var debug = require('debug')('windshaft:widget:formula:overview');
 
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
 var formulaQueryTpls = {
-  'count': dot.template([
-      'SELECT',
-      'sum(_feature_count) AS result,',
-      '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
-      'FROM ({{=it._query}}) _cdb_formula'
-  ].join('\n')),
-  'sum': dot.template([
-      'SELECT',
-      'sum({{=it._column}}*_feature_count) AS result,',
-      '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
-      'FROM ({{=it._query}}) _cdb_formula'
-  ].join('\n')),
-  'avg': dot.template([
-      'SELECT',
-      'sum({{=it._column}}*_feature_count)/sum(_feature_count) AS result,',
-      '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
-      'FROM ({{=it._query}}) _cdb_formula'
-  ].join('\n')),
+    'count': dot.template([
+        'SELECT',
+        'sum(_feature_count) AS result,',
+        '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
+        '{{?it._isFloatColumn}},(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_infinities',
+        '  WHERE {{=it._column}} = \'infinity\'::float OR {{=it._column}} = \'-infinity\'::float) AS infinities_count,',
+        '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nans',
+        '  WHERE {{=it._column}} = \'NaN\'::float) AS nans_count{{?}}',
+        'FROM ({{=it._query}}) _cdb_formula'
+    ].join('\n')),
+    'sum': dot.template([
+        'SELECT',
+        'sum({{=it._column}}*_feature_count) AS result,',
+        '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
+        '{{?it._isFloatColumn}},(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_infinities',
+        '  WHERE {{=it._column}} = \'infinity\'::float OR {{=it._column}} = \'-infinity\'::float) AS infinities_count',
+        ',(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nans',
+        '  WHERE {{=it._column}} = \'NaN\'::float) AS nans_count{{?}}',
+        'FROM ({{=it._query}}) _cdb_formula',
+        '{{?it._isFloatColumn}}WHERE',
+        '  {{=it._column}} != \'infinity\'::float',
+        'AND',
+        '  {{=it._column}} != \'-infinity\'::float',
+        'AND',
+        '  {{=it._column}} != \'NaN\'::float{{?}}'
+    ].join('\n')),
+    'avg': dot.template([
+        'SELECT',
+        'sum({{=it._column}}*_feature_count)/sum(_feature_count) AS result,',
+        '(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
+        '{{?it._isFloatColumn}},(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_infinities',
+        '  WHERE {{=it._column}} = \'infinity\'::float OR {{=it._column}} = \'-infinity\'::float) AS infinities_count',
+        ',(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nans',
+        '  WHERE {{=it._column}} = \'NaN\'::float) AS nans_count{{?}}',
+        'FROM ({{=it._query}}) _cdb_formula',
+        '{{?it._isFloatColumn}}WHERE',
+        '  {{=it._column}} != \'infinity\'::float',
+        'AND',
+        '  {{=it._column}} != \'-infinity\'::float',
+        'AND',
+        '  {{=it._column}} != \'NaN\'::float{{?}}'
+    ].join('\n')),
 };
 
-function Formula(query, options, queryRewriter, queryRewriteData, params) {
-    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params);
+function Formula(query, options, queryRewriter, queryRewriteData, params, queries) {
+    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
     this.column = options.column || '1';
     this.operation = options.operation;
+    this._isFloatColumn = null;
+    this.queries = queries;
 }
 
 Formula.prototype = Object.create(BaseOverviewsDataview.prototype);
@@ -36,21 +63,38 @@ Formula.prototype.constructor = Formula;
 
 module.exports = Formula;
 
-Formula.prototype.sql = function(psql, override, callback) {
+Formula.prototype.sql = function (psql, override, callback) {
+    var self = this;
     var formulaQueryTpl = formulaQueryTpls[this.operation];
 
-    if ( formulaQueryTpl ) {
+    if (formulaQueryTpl) {
         // supported formula for use with overviews
+        if (this._isFloatColumn === null) {
+            this._isFloatColumn = false;
+            this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
+                if (!err && !!type) {
+                    self._isFloatColumn = type.float;
+                }
+                self.sql(psql, override, callback);
+            });
+            return null;
+        }
+
         var formulaSql = formulaQueryTpl({
-            _query:     this.rewrittenQuery(this.query),
+            _isFloatColumn: this._isFloatColumn,
+            _query: this.rewrittenQuery(this.query),
             _operation: this.operation,
-            _column:    this.column
+            _column: this.column
         });
+
         callback = callback || override;
 
+        debug(formulaSql);
+
         return callback(null, formulaSql);
     }
 
+
     // default behaviour
     return this.defaultSql(psql, override, callback);
 };

lib/cartodb/models/dataview/overviews/histogram.js

@@ -1,23 +1,35 @@
 var _ = require('underscore');
 var BaseOverviewsDataview = require('./base');
 var BaseDataview = require('../histogram');
+var debug = require('debug')('windshaft:dataview:histogram:overview');
 
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
-var columnTypeQueryTpl = dot.template(
-    'SELECT pg_typeof({{=it.column}})::oid FROM ({{=it.query}}) _cdb_histogram_column_type limit 1'
-);
-
 var BIN_MIN_NUMBER = 6;
 var BIN_MAX_NUMBER = 48;
 
+var filteredQueryTpl = dot.template([
+    'filtered_source AS (',
+    '  SELECT *',
+    '  FROM ({{=it._query}}) _cdb_filtered_source',
+    '  WHERE',
+    '    {{=it._column}} IS NOT NULL',
+    '  {{?it._isFloatColumn}}AND',
+    '    {{=it._column}} != \'infinity\'::float',
+    '  AND',
+    '    {{=it._column}} != \'-infinity\'::float',
+    '  AND',
+    '    {{=it._column}} != \'NaN\'::float{{?}}',
+    ')'
+].join(' \n'));
+
 var basicsQueryTpl = dot.template([
     'basics AS (',
     '  SELECT',
     '    max({{=it._column}}) AS max_val, min({{=it._column}}) AS min_val,',
     '    sum({{=it._column}}*_feature_count)/sum(_feature_count) AS avg_val, sum(_feature_count) AS total_rows',
-    '  FROM ({{=it._query}}) _cdb_basics',
+    '  FROM filtered_source',
     ')'
 ].join(' \n'));
 
@@ -26,7 +38,7 @@ var overrideBasicsQueryTpl = dot.template([
     '  SELECT',
     '    max({{=it._end}}) AS max_val, min({{=it._start}}) AS min_val,',
     '    sum({{=it._column}}*_feature_count)/sum(_feature_count) AS avg_val, sum(_feature_count) AS total_rows',
-    '  FROM ({{=it._query}}) _cdb_basics',
+    '  FROM filtered_source',
     ')'
 ].join('\n'));
 
@@ -37,7 +49,7 @@ var iqrQueryTpl = dot.template([
     '    SELECT quartile, max(_cdb_iqr_column) AS quartile_max from (',
     '      SELECT {{=it._column}} AS _cdb_iqr_column, ntile(4) over (order by {{=it._column}}',
     '    ) AS quartile',
-    '    FROM ({{=it._query}}) _cdb_rank) _cdb_quartiles',
+    '    FROM filtered_source) _cdb_quartiles',
     '    WHERE quartile = 1 or quartile = 3',
     '    GROUP BY quartile',
     '  ) _cdb_iqr',
@@ -56,7 +68,7 @@ var binsQueryTpl = dot.template([
     '        )',
     '      )',
     '    END AS bins_number',
-    '  FROM basics, iqrange, ({{=it._query}}) _cdb_bins',
+    '  FROM basics, iqrange, filtered_source',
     '  LIMIT 1',
     ')'
 ].join('\n'));
@@ -76,11 +88,34 @@ var nullsQueryTpl = dot.template([
     ')'
 ].join('\n'));
 
+var infinitiesQueryTpl = dot.template([
+    'infinities AS (',
+    '  SELECT',
+    '    count(*) AS infinities_count',
+    '  FROM ({{=it._query}}) _cdb_histogram_infinities',
+    '  WHERE',
+    '    {{=it._column}} = \'infinity\'::float',
+    '  OR',
+    '    {{=it._column}} = \'-infinity\'::float',
+    ')'
+].join('\n'));
+
+var nansQueryTpl = dot.template([
+    'nans AS (',
+    '  SELECT',
+    '    count(*) AS nans_count',
+    '  FROM ({{=it._query}}) _cdb_histogram_infinities',
+    '  WHERE {{=it._column}} = \'NaN\'::float',
+    ')'
+].join('\n'));
+
 var histogramQueryTpl = dot.template([
     'SELECT',
     '    (max_val - min_val) / cast(bins_number as float) AS bin_width,',
     '    bins_number,',
     '    nulls_count,',
+    '    {{?it._isFloatColumn}}infinities_count,',
+    '    nans_count,{{?}}',
     '    avg_val,',
     '    CASE WHEN min_val = max_val',
     '      THEN 0',
@@ -90,14 +125,14 @@ var histogramQueryTpl = dot.template([
     '    max({{=it._column}})::numeric AS max,',
     '    sum({{=it._column}}*_feature_count)/sum(_feature_count)::numeric AS avg,',
     '    sum(_feature_count) AS freq',
-    'FROM ({{=it._query}}) _cdb_histogram, basics, nulls, bins',
-    'WHERE {{=it._column}} IS NOT NULL',
+    'FROM filtered_source, basics, nulls, bins{{?it._isFloatColumn}},infinities, nans{{?}}',
     'GROUP BY bin, bins_number, bin_width, nulls_count, avg_val',
+    '   {{?it._isFloatColumn}}, infinities_count, nans_count{{?}}',
     'ORDER BY bin'
 ].join('\n'));
 
 function Histogram(query, options, queryRewriter, queryRewriteData, params, queries) {
-    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params);
+    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
 
     this.query = query;
     this.queries = queries;
@@ -112,36 +147,23 @@ Histogram.prototype.constructor = Histogram;
 
 module.exports = Histogram;
 
-
-var DATE_OIDS = {
-    1082: true,
-    1114: true,
-    1184: true
-};
-
 Histogram.prototype.sql = function(psql, override, callback) {
+    var self = this;
+
     if (!callback) {
         callback = override;
         override = {};
     }
 
-    var self = this;
-
-    var _column = this.column;
-
-    var columnTypeQuery = columnTypeQueryTpl({
-        column: _column, query: this.rewrittenQuery(this.queries.no_filters)
-    });
 
     if (this._columnType === null) {
-        psql.query(columnTypeQuery, function(err, result) {
+        this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
             // assume numeric, will fail later
             self._columnType = 'numeric';
-            if (!err && !!result.rows[0]) {
-                var pgType = result.rows[0].pg_typeof;
-                if (DATE_OIDS.hasOwnProperty(pgType)) {
-                    self._columnType = 'date';
-                }
+            if (!err && !!type) {
+                self._columnType = Object.keys(type).find(function (key) {
+                    return type[key];
+                });
             }
             self.sql(psql, override, callback);
         }, true); // use read-only transaction
@@ -154,11 +176,24 @@ Histogram.prototype.sql = function(psql, override, callback) {
         return this.defaultSql(psql, override, callback);
     }
 
+    var histogramSql = this._buildQuery(override);
+
+    return callback(null, histogramSql);
+};
+
+Histogram.prototype._buildQuery = function (override) {
+    var filteredQuery, basicsQuery, binsQuery;
+    var _column = this.column;
     var _query = this.rewrittenQuery(this.query);
 
-    var basicsQuery, binsQuery;
+    filteredQuery = filteredQueryTpl({
+        _isFloatColumn: this._columnType === 'float',
+        _query: _query,
+        _column: _column
+    });
 
-    if (override && _.has(override, 'start') && _.has(override, 'end') && _.has(override, 'bins')) {
+    if (this._shouldOverride(override)) {
+        debug('overriding with %j', override);
         basicsQuery = overrideBasicsQueryTpl({
             _query: _query,
             _column: _column,
@@ -177,7 +212,7 @@ Histogram.prototype.sql = function(psql, override, callback) {
             _column: _column
         });
 
-        if (override && _.has(override, 'bins')) {
+        if (this._shouldOverrideBins(override)) {
             binsQuery = [
                 overrideBinsQueryTpl({
                     _bins: override.bins
@@ -198,22 +233,50 @@ Histogram.prototype.sql = function(psql, override, callback) {
         }
     }
 
+    var cteSql = [
+        filteredQuery,
+        basicsQuery,
+        binsQuery,
+        nullsQueryTpl({
+            _query: _query,
+            _column: _column
+        })
+    ];
 
-    var histogramSql = [
-        "WITH",
-        [
-            basicsQuery,
-            binsQuery,
-            nullsQueryTpl({
+    if (this._columnType === 'float') {
+        cteSql.push(
+            infinitiesQueryTpl({
+                _query: _query,
+                _column: _column
+            }),
+            nansQueryTpl({
                 _query: _query,
                 _column: _column
             })
-        ].join(',\n'),
+        );
+    }
+
+    var histogramSql = [
+        "WITH",
+        cteSql.join(',\n'),
         histogramQueryTpl({
+            _isFloatColumn: this._columnType === 'float',
             _query: _query,
             _column: _column
         })
     ].join('\n');
 
-    return callback(null, histogramSql);
+    debug(histogramSql);
+
+    return histogramSql;
 };
+
+Histogram.prototype._shouldOverride = function (override) {
+    return override && _.has(override, 'start') && _.has(override, 'end') && _.has(override, 'bins');
+};
+
+Histogram.prototype._shouldOverrideBins = function (override) {
+    return override && _.has(override, 'bins');
+};
+
+

lib/cartodb/models/dataview/overviews/list.js

@@ -1,8 +1,8 @@
 var BaseOverviewsDataview = require('./base');
 var BaseDataview = require('../list');
 
-function List(query, options, queryRewriter, queryRewriteData, params) {
-    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params);
+function List(query, options, queryRewriter, queryRewriteData, params, queries) {
+    BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
 }
 
 List.prototype = Object.create(BaseOverviewsDataview.prototype);

package.json

@@ -1,7 +1,7 @@
 {
   "private": true,
   "name": "windshaft-cartodb",
-  "version": "3.9.2",
+  "version": "3.9.5",
   "description": "A map tile server for CartoDB",
   "keywords": [
     "cartodb"
@@ -20,7 +20,7 @@
   ],
   "dependencies": {
     "body-parser": "~1.14.0",
-    "camshaft": "0.55.4",
+    "camshaft": "0.55.6",
     "cartodb-psql": "0.8.0",
     "cartodb-query-tables": "0.2.0",
     "cartodb-redis": "0.13.2",

test/acceptance/dataviews/aggregation.js

@@ -146,3 +146,152 @@ describe('aggregations happy cases', function() {
         });
     });
 });
+
+describe('aggregation-dataview: special float values', function() {
+
+    afterEach(function(done) {
+        if (this.testClient) {
+            this.testClient.drain(done);
+        } else {
+            done();
+        }
+    });
+
+    function createMapConfig(layers, dataviews, analysis) {
+        return {
+            version: '1.5.0',
+            layers: layers,
+            dataviews: dataviews || {},
+            analyses: analysis || []
+        };
+    }
+
+    var mapConfig = createMapConfig(
+        [
+            {
+                "type": "cartodb",
+                "options": {
+                    "source": {
+                        "id": "a0"
+                    },
+                    "cartocss": "#points { marker-width: 10; marker-fill: red; }",
+                    "cartocss_version": "2.3.0"
+                }
+            }
+        ],
+        {
+            val_aggregation: {
+                source: {
+                    id: 'a0'
+                },
+                type: 'aggregation',
+                options: {
+                    column: 'cat',
+                    aggregation: 'avg',
+                    aggregationColumn: 'val'
+                }
+            },
+            sum_aggregation_numeric: {
+                source: {
+                    id: 'a1'
+                },
+                type: 'aggregation',
+                options: {
+                    column: 'cat',
+                    aggregation: 'sum',
+                    aggregationColumn: 'val'
+                }
+            }
+        },
+        [
+            {
+                "id": "a0",
+                "type": "source",
+                "params": {
+                    "query": [
+                        'SELECT',
+                        '  null::geometry the_geom_webmercator,',
+                        '  CASE',
+                        '    WHEN x % 4 = 0 THEN \'infinity\'::float',
+                        '    WHEN x % 4 = 1 THEN \'-infinity\'::float',
+                        '    WHEN x % 4 = 2 THEN \'NaN\'::float',
+                        '    ELSE x',
+                        '  END AS val,',
+                        '  CASE',
+                        '    WHEN x % 2 = 0 THEN \'category_1\'',
+                        '    ELSE \'category_2\'',
+                        '  END AS cat',
+                        'FROM generate_series(1, 1000) x'
+                    ].join('\n')
+                }
+            }, {
+                "id": "a1",
+                "type": "source",
+                "params": {
+                    "query": [
+                        'SELECT',
+                        '  null::geometry the_geom_webmercator,',
+                        '  CASE',
+                        '    WHEN x % 3 = 0 THEN \'NaN\'::numeric',
+                        '    WHEN x % 3 = 1 THEN x',
+                        '    ELSE x',
+                        '  END AS val,',
+                        '  CASE',
+                        '    WHEN x % 2 = 0 THEN \'category_1\'',
+                        '    ELSE \'category_2\'',
+                        '  END AS cat',
+                        'FROM generate_series(1, 1000) x'
+                    ].join('\n')
+                }
+            }
+        ]
+    );
+
+    // Source a0
+    // -----------------------------------------------
+    // the_geom_webmercator  |    val    |    cat
+    // ----------------------+-----------+------------
+    //                       | -Infinity | category_2
+    //                       |       NaN | category_1
+    //                       |         3 | category_2
+    //                       |  Infinity | category_1
+    //                       | -Infinity | category_2
+    //                       |       NaN | category_1
+    //                       |         7 | category_2
+    //                       |  Infinity | category_1
+    //                       | -Infinity | category_2
+    //                       |       NaN | category_1
+    //                       |        11 | category_2
+    //                       |         " |          "
+
+    var filters = [{ own_filter: 0 }, {}];
+    filters.forEach(function (filter) {
+        it('should handle special float values using filter: ' + JSON.stringify(filter), function(done) {
+            this.testClient = new TestClient(mapConfig, 1234);
+            this.testClient.getDataview('val_aggregation', { own_filter: 0 }, function(err, dataview) {
+                assert.ifError(err);
+                assert.ok(dataview.infinities === (250 + 250));
+                assert.ok(dataview.nans === 250);
+                assert.ok(dataview.categories.length === 1);
+                dataview.categories.forEach(function (category) {
+                    assert.ok(category.category === 'category_2');
+                    assert.ok(category.value === 501);
+                });
+                done();
+            });
+        });
+
+        it('should handle special numeric values using filter: ' + JSON.stringify(filter), function(done) {
+            this.testClient = new TestClient(mapConfig, 1234);
+            this.testClient.getDataview('sum_aggregation_numeric', { own_filter: 0 }, function(err, dataview) {
+                assert.ifError(err);
+                assert.ok(dataview.nans === 333);
+                assert.ok(dataview.categories.length === 2);
+                dataview.categories.forEach(function (category) {
+                    assert.ok(category.value !== null);
+                });
+                done();
+            });
+        });
+    });
+});

test/acceptance/dataviews/formula.js

@@ -0,0 +1,80 @@
+require('../../support/test_helper');
+var assert = require('../../support/assert');
+var TestClient = require('../../support/test-client');
+
+function createMapConfig(layers, dataviews, analysis) {
+    return {
+        version: '1.5.0',
+        layers: layers,
+        dataviews: dataviews || {},
+        analyses: analysis || []
+    };
+}
+
+describe('formula-dataview: special float values', function() {
+
+    afterEach(function(done) {
+        if (this.testClient) {
+            this.testClient.drain(done);
+        } else {
+            done();
+        }
+    });
+
+    var mapConfig = createMapConfig(
+        [
+            {
+                "type": "cartodb",
+                "options": {
+                    "source": {
+                        "id": "a0"
+                    },
+                    "cartocss": "#points { marker-width: 10; marker-fill: red; }",
+                    "cartocss_version": "2.3.0"
+                }
+            }
+        ],
+        {
+            val_formula: {
+                source: {
+                    id: 'a0'
+                },
+                type: 'formula',
+                options: {
+                    column: 'val',
+                    operation: 'avg'
+                }
+            }
+        },
+        [
+            {
+                "id": "a0",
+                "type": "source",
+                "params": {
+                    "query": [
+                        'SELECT',
+                        '  null::geometry the_geom_webmercator,',
+                        '  CASE',
+                        '    WHEN x % 4 = 0 THEN \'infinity\'::float',
+                        '    WHEN x % 4 = 1 THEN \'-infinity\'::float',
+                        '    WHEN x % 4 = 2 THEN \'NaN\'::float',
+                        '    ELSE x',
+                        '  END AS val',
+                        'FROM generate_series(1, 1000) x'
+                    ].join('\n')
+                }
+            }
+        ]
+    );
+
+    it('should filter infinities out and count them in the summary', function(done) {
+        this.testClient = new TestClient(mapConfig, 1234);
+        this.testClient.getDataview('val_formula', {}, function(err, dataview) {
+            assert.ok(!err, err);
+            assert.equal(dataview.result, 501);
+            assert.ok(dataview.infinities === (250 + 250));
+            assert.ok(dataview.nans === 250);
+            done();
+        });
+    });
+});

test/acceptance/dataviews/histogram.js

@@ -3,6 +3,15 @@ require('../../support/test_helper');
 var assert = require('../../support/assert');
 var TestClient = require('../../support/test-client');
 
+function createMapConfig(layers, dataviews, analysis) {
+    return {
+        version: '1.5.0',
+        layers: layers,
+        dataviews: dataviews || {},
+        analyses: analysis || []
+    };
+}
+
 describe('histogram-dataview', function() {
 
     afterEach(function(done) {
@@ -13,15 +22,6 @@ describe('histogram-dataview', function() {
         }
     });
 
-    function createMapConfig(layers, dataviews, analysis) {
-        return {
-            version: '1.5.0',
-            layers: layers,
-            dataviews: dataviews || {},
-            analyses: analysis || []
-        };
-    }
-
     var mapConfig = createMapConfig(
         [
             {
@@ -89,7 +89,6 @@ describe('histogram-dataview', function() {
         this.testClient = new TestClient(mapConfig, 1234);
         this.testClient.getDataview('pop_max_histogram', params, function(err, res) {
             assert.ok(!err, err);
-
             assert.ok(res.errors);
             assert.equal(res.errors.length, 1);
             assert.ok(res.errors[0].match(/Invalid number format for parameter 'bins'/));
@@ -98,3 +97,70 @@ describe('histogram-dataview', function() {
         });
     });
 });
+
+
+describe('histogram-dataview: special float valuer', function() {
+
+    afterEach(function(done) {
+        if (this.testClient) {
+            this.testClient.drain(done);
+        } else {
+            done();
+        }
+    });
+
+    var mapConfig = createMapConfig(
+        [
+            {
+                "type": "cartodb",
+                "options": {
+                    "source": {
+                        "id": "a0"
+                    },
+                    "cartocss": "#points { marker-width: 10; marker-fill: red; }",
+                    "cartocss_version": "2.3.0"
+                }
+            }
+        ],
+        {
+            val_histogram: {
+                source: {
+                    id: 'a0'
+                },
+                type: 'histogram',
+                options: {
+                    column: 'val'
+                }
+            }
+        },
+        [
+            {
+                "id": "a0",
+                "type": "source",
+                "params": {
+                    "query": [
+                        'SELECT',
+                        '  null::geometry the_geom_webmercator,',
+                        '  CASE',
+                        '    WHEN x % 4 = 0 THEN \'infinity\'::float',
+                        '    WHEN x % 4 = 1 THEN \'-infinity\'::float',
+                        '    WHEN x % 4 = 2 THEN \'NaN\'::float',
+                        '    ELSE x',
+                        '  END AS val',
+                        'FROM generate_series(1, 1000) x'
+                    ].join('\n')
+                }
+            }
+        ]
+    );
+
+    it('should filter infinities out and count them in the summary', function(done) {
+        this.testClient = new TestClient(mapConfig, 1234);
+        this.testClient.getDataview('val_histogram', {}, function(err, dataview) {
+            assert.ok(!err, err);
+            assert.ok(dataview.infinities === (250 + 250));
+            assert.ok(dataview.nans === 250);
+            done();
+        });
+    });
+});

test/acceptance/dataviews/overviews.js

@@ -124,6 +124,13 @@ describe('dataviews using tables with overviews', function() {
                 params: {
                   query: 'select * from test_table_overviews'
                 }
+            },
+            {
+                id: 'data-source-special-float-values',
+                type: 'source',
+                params: {
+                  query: 'select * from test_special_float_values_table_overviews'
+                }
             }
         ],
         dataviews:  {
@@ -144,6 +151,17 @@ describe('dataviews using tables with overviews', function() {
                     aggregationColumn: 'name',
                 }
             },
+            test_categories_special_values: {
+                type: 'aggregation',
+                source: {
+                    id: 'data-source-special-float-values'
+                },
+                options: {
+                    column: 'name',
+                    aggregation: 'sum',
+                    aggregationColumn: 'value',
+                }
+            },
             test_histogram: {
                 type: 'histogram',
                 source: {id: 'data-source'},
@@ -160,6 +178,16 @@ describe('dataviews using tables with overviews', function() {
                     bins: 2
                 }
             },
+            test_histogram_special_values: {
+                type: 'histogram',
+                source: {
+                    id: 'data-source-special-float-values'
+                },
+                options: {
+                    column: 'value',
+                    bins: 2
+                }
+            },
             test_avg: {
                 type: 'formula',
                 source: {id: 'data-source'},
@@ -168,6 +196,16 @@ describe('dataviews using tables with overviews', function() {
                     operation: 'avg'
                 }
             },
+            test_formula_sum_special_values: {
+                type: 'formula',
+                source: {
+                    id: 'data-source-special-float-values'
+                },
+                options: {
+                    column: 'value',
+                    operation: 'sum'
+                }
+            },
             test_count: {
                 type: 'formula',
                 source: {id: 'data-source'},
@@ -202,6 +240,17 @@ describe('dataviews using tables with overviews', function() {
                     cartocss_version: '2.3.0',
                     source: { id: 'data-source' }
                 }
+            },
+            {
+                type: 'mapnik',
+                options: {
+                    sql: 'select * from test_special_float_values_table_overviews',
+                    cartocss: '#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }',
+                    cartocss_version: '2.3.0',
+                    source: {
+                        id: 'data-source-special-float-values'
+                    }
+                }
             }
         ]
     };
@@ -212,7 +261,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"sum","result":15,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation":"sum",
+                "result":15,
+                "infinities": 0,
+                "nans": 0,
+                "nulls":0,
+                "type":"formula"
+            });
 
             testClient.drain(done);
         });
@@ -224,7 +280,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"avg","result":3,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation":"avg",
+                "result":3,
+                "nulls":0,
+                "type":"formula",
+                "infinities": 0,
+                "nans": 0
+            });
 
             testClient.drain(done);
         });
@@ -236,7 +299,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"count","result":5,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation":"count",
+                "result":5,
+                "nulls":0,
+                "type":"formula",
+                "infinities": 0,
+                "nans": 0
+            });
 
             testClient.drain(done);
         });
@@ -248,7 +318,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"max","result":5,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation": "max",
+                "result": 5,
+                "nulls": 0,
+                "infinities": 0,
+                "nans": 0,
+                "type": "formula"
+            });
 
             testClient.drain(done);
         });
@@ -260,7 +337,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"min","result":1,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation": "min",
+                "result": 1,
+                "nulls": 0,
+                "infinities": 0,
+                "nans": 0,
+                "type": "formula"
+            });
 
             testClient.drain(done);
         });
@@ -275,7 +359,14 @@ describe('dataviews using tables with overviews', function() {
             if (err) {
                 return done(err);
             }
-            assert.deepEqual(formula_result, {"operation":"sum","result":15,"nulls":0,"type":"formula"});
+            assert.deepEqual(formula_result, {
+                "operation":"sum",
+                "result":15,
+                "nulls":0,
+                "infinities": 0,
+                "nans": 0,
+                "type":"formula"
+            });
 
             testClient.drain(done);
         });
@@ -372,7 +463,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"sum","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation":"sum",
+                        "result":1,
+                        "nulls":0,
+                        "infinities": 0,
+                        "nans": 0,
+                        "type":"formula"
+                    });
                     testClient.drain(done);
                 });
             });
@@ -383,7 +481,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"avg","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation":"avg",
+                        "result":1,
+                        "nulls":0,
+                        "infinities": 0,
+                        "nans": 0,
+                        "type":"formula"
+                    });
 
                     testClient.drain(done);
                 });
@@ -395,7 +500,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"count","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation":"count",
+                        "result":1,
+                        "infinities": 0,
+                        "nans": 0,
+                        "nulls":0,
+                        "type":"formula"
+                    });
 
                     testClient.drain(done);
                 });
@@ -407,7 +519,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"max","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation": "max",
+                        "result": 1,
+                        "nulls": 0,
+                        "infinities": 0,
+                        "nans": 0,
+                        "type": "formula"
+                    });
 
                     testClient.drain(done);
                 });
@@ -419,7 +538,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"min","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation": "min",
+                        "result": 1,
+                        "nulls": 0,
+                        "infinities": 0,
+                        "nans": 0,
+                        "type": "formula"
+                    });
 
                     testClient.drain(done);
                 });
@@ -437,7 +563,14 @@ describe('dataviews using tables with overviews', function() {
                     if (err) {
                         return done(err);
                     }
-                    assert.deepEqual(formula_result, {"operation":"sum","result":1,"nulls":0,"type":"formula"});
+                    assert.deepEqual(formula_result, {
+                        "operation":"sum",
+                        "result":1,
+                        "nulls":0,
+                        "infinities": 0,
+                        "nans": 0,
+                        "type":"formula"
+                    });
                     testClient.drain(done);
                 });
             });
@@ -445,5 +578,69 @@ describe('dataviews using tables with overviews', function() {
 
         });
 
+        describe('aggregation special float values', function () {
+            var params = {};
+
+            it("should expose an aggregation dataview filtering special float values out", function (done) {
+                var testClient = new TestClient(overviewsMapConfig);
+                testClient.getDataview('test_categories_special_values', params, function (err, dataview) {
+                    if (err) {
+                        return done(err);
+                    }
+                    assert.deepEqual(dataview, {
+                        aggregation: 'sum',
+                        count: 5,
+                        nulls: 0,
+                        nans: 1,
+                        infinities: 1,
+                        min: 6,
+                        max: 6,
+                        categoriesCount: 1,
+                        categories: [ { category: 'Hawai', value: 6, agg: false } ],
+                        type: 'aggregation'
+                    });
+                    testClient.drain(done);
+                });
+            });
+
+            it('should expose a histogram dataview filtering special float values out', function (done) {
+                var testClient = new TestClient(overviewsMapConfig);
+                testClient.getDataview('test_histogram_special_values', params, function (err, dataview) {
+                    if (err) {
+                        return done(err);
+                    }
+                    assert.deepEqual(dataview, {
+                        bin_width: 0,
+                        bins_count: 1,
+                        bins_start: 3,
+                        nulls: 0,
+                        infinities: 1,
+                        nans: 1,
+                        avg: 3,
+                        bins: [ { bin: 0, min: 3, max: 3, avg: 3, freq: 2 } ],
+                        type: 'histogram'
+                    });
+                    testClient.drain(done);
+                });
+            });
+
+            it('should expose a formula (sum) dataview filtering special float values out', function (done) {
+                var testClient = new TestClient(overviewsMapConfig);
+                testClient.getDataview('test_formula_sum_special_values', params, function (err, dataview) {
+                    if (err) {
+                        return done(err);
+                    }
+                    assert.deepEqual(dataview, {
+                        operation: 'sum',
+                        result: 6,
+                        nulls: 0,
+                        nans: 1,
+                        infinities: 1,
+                        type: 'formula'
+                    });
+                    testClient.drain(done);
+                });
+            });
+        });
     });
 });

test/support/sql/windshaft.test.sql

@@ -339,6 +339,78 @@ INSERT INTO _vovw_2_test_table_overviews VALUES
 INSERT INTO _vovw_1_test_table_overviews VALUES
 ('2011-09-21 14:02:21.358706', '2011-09-21 14:02:21.314252', 1, 'Hawai', 'Calle de Pérez Galdós 9, Madrid, Spain', 3.0, '0101000020E610000000000000000020C00000000000004440', '0101000020110F000076491621312319C122D4663F1DCC5241', 5);
 
+-- table with overviews whit special float values
+
+CREATE TABLE test_special_float_values_table_overviews (
+    cartodb_id integer NOT NULL,
+    name character varying,
+    address character varying,
+    value float8,
+    the_geom geometry,
+    the_geom_webmercator geometry,
+    _feature_count integer,
+    CONSTRAINT enforce_dims_the_geom CHECK ((st_ndims(the_geom) = 2)),
+    CONSTRAINT enforce_dims_the_geom_webmercator CHECK ((st_ndims(the_geom_webmercator) = 2)),
+    CONSTRAINT enforce_geotype_the_geom CHECK (((geometrytype(the_geom) = 'POINT'::text) OR (the_geom IS NULL))),
+    CONSTRAINT enforce_geotype_the_geom_webmercator CHECK (((geometrytype(the_geom_webmercator) = 'POINT'::text) OR (the_geom_webmercator IS NULL))),
+    CONSTRAINT enforce_srid_the_geom CHECK ((st_srid(the_geom) = 4326)),
+    CONSTRAINT enforce_srid_the_geom_webmercator CHECK ((st_srid(the_geom_webmercator) = 3857))
+);
+
+GRANT ALL ON TABLE test_special_float_values_table_overviews TO :TESTUSER;
+GRANT SELECT ON TABLE test_special_float_values_table_overviews TO :PUBLICUSER;
+
+CREATE SEQUENCE test_special_float_values_table_overviews_cartodb_id_seq
+    START WITH 1
+    INCREMENT BY 1
+    NO MINVALUE
+    NO MAXVALUE
+    CACHE 1;
+
+ALTER SEQUENCE test_special_float_values_table_overviews_cartodb_id_seq OWNED BY test_special_float_values_table_overviews.cartodb_id;
+
+SELECT pg_catalog.setval('test_special_float_values_table_overviews_cartodb_id_seq', 60, true);
+
+ALTER TABLE test_special_float_values_table_overviews ALTER COLUMN cartodb_id SET DEFAULT nextval('test_special_float_values_table_overviews_cartodb_id_seq'::regclass);
+
+INSERT INTO test_special_float_values_table_overviews VALUES
+(1, 'Hawai', 'Calle de Pérez Galdós 9, Madrid, Spain', 1.0, '0101000020E6100000A6B73F170D990DC064E8D84125364440', '0101000020110F000076491621312319C122D4663F1DCC5241', 1),
+(2, 'El Estocolmo', 'Calle de la Palma 72, Madrid, Spain', 2.0, '0101000020E6100000C90567F0F7AB0DC0AB07CC43A6364440', '0101000020110F0000C4356B29423319C15DD1092DADCC5241', 1),
+(3, 'El Rey del Tallarín', 'Plaza Conde de Toreno 2, Madrid, Spain', 'NaN'::float, '0101000020E610000021C8410933AD0DC0CB0EF10F5B364440', '0101000020110F000053E71AC64D3419C10F664E4659CC5241', 1),
+(4, 'El Lacón', 'Manuel Fernández y González 8, Madrid, Spain', 4.0, '0101000020E6100000BC5983F755990DC07D923B6C22354440', '0101000020110F00005DACDB056F2319C1EC41A980FCCA5241', 1),
+(5, 'El Pico', 'Calle Divino Pastor 12, Madrid, Spain', 'infinity'::float, '0101000020E61000003B6D8D08C6A10DC0371B2B31CF364440', '0101000020110F00005F716E91992A19C17DAAA4D6DACC5241', 1);
+
+ALTER TABLE ONLY test_special_float_values_table_overviews ADD CONSTRAINT test_special_float_values_table_overviews_pkey PRIMARY KEY (cartodb_id);
+
+CREATE INDEX test_special_float_values_table_overviews_the_geom_idx ON test_special_float_values_table_overviews USING gist (the_geom);
+CREATE INDEX test_special_float_values_table_overviews_the_geom_webmercator_idx ON test_special_float_values_table_overviews USING gist (the_geom_webmercator);
+
+GRANT ALL ON TABLE test_special_float_values_table_overviews TO :TESTUSER;
+GRANT SELECT ON TABLE test_special_float_values_table_overviews TO :PUBLICUSER;
+
+CREATE TABLE _vovw_1_test_special_float_values_table_overviews (
+    cartodb_id integer NOT NULL,
+    name character varying,
+    address character varying,
+    value float8,
+    the_geom geometry,
+    the_geom_webmercator geometry,
+    _feature_count integer,
+    CONSTRAINT enforce_dims_the_geom CHECK ((st_ndims(the_geom) = 2)),
+    CONSTRAINT enforce_dims_the_geom_webmercator CHECK ((st_ndims(the_geom_webmercator) = 2)),
+    CONSTRAINT enforce_geotype_the_geom CHECK (((geometrytype(the_geom) = 'POINT'::text) OR (the_geom IS NULL))),
+    CONSTRAINT enforce_geotype_the_geom_webmercator CHECK (((geometrytype(the_geom_webmercator) = 'POINT'::text) OR (the_geom_webmercator IS NULL))),
+    CONSTRAINT enforce_srid_the_geom CHECK ((st_srid(the_geom) = 4326)),
+    CONSTRAINT enforce_srid_the_geom_webmercator CHECK ((st_srid(the_geom_webmercator) = 3857))
+);
+
+GRANT ALL ON TABLE _vovw_1_test_special_float_values_table_overviews TO :TESTUSER;
+GRANT SELECT ON TABLE _vovw_1_test_special_float_values_table_overviews TO :PUBLICUSER;
+
+INSERT INTO _vovw_1_test_special_float_values_table_overviews VALUES
+(1, 'Hawai', 'Calle de Pérez Galdós 9, Madrid, Spain', 3, '0101000020E610000000000000000020C00000000000004440', '0101000020110F000076491621312319C122D4663F1DCC5241', 2),
+(3, 'El Rey del Tallarín', 'Plaza Conde de Toreno 2, Madrid, Spain', 'NaN'::float, '0101000020E610000021C8410933AD0DC0CB0EF10F5B364440', '0101000020110F000053E71AC64D3419C10F664E4659CC5241', 1),
+(4, 'El Lacón', 'Manuel Fernández y González 8, Madrid, Spain', 'infinity'::float, '0101000020E6100000BC5983F755990DC07D923B6C22354440', '0101000020110F00005DACDB056F2319C1EC41A980FCCA5241', 2);
 
 -- analysis tables -----------------------------------------------
 

test/support/test-client.js

@@ -435,7 +435,7 @@ TestClient.prototype.getTile = function(z, x, y, params, callback) {
             }
 
             params.placeholders = params.placeholders || {};
-        
+
             assert.response(server,
                 {
                     url: urlNamed + '?' + qs.stringify({ api_key: self.apiKey }),

yarn.lock

@@ -198,9 +198,9 @@ camelcase@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-3.0.0.tgz#32fc4b9fcdaf845fcdf7e73bb97cac2261f0ab0a"
 
-camshaft@0.55.4:
-  version "0.55.4"
-  resolved "https://registry.yarnpkg.com/camshaft/-/camshaft-0.55.4.tgz#9b83e2fd4adc0f471976d7b0ef319e28b8864adc"
+camshaft@0.55.6:
+  version "0.55.6"
+  resolved "https://registry.yarnpkg.com/camshaft/-/camshaft-0.55.6.tgz#11af28051c3b911fb023ae1cafb165bbd040f174"
   dependencies:
     async "^1.5.2"
     bunyan "1.8.1"