Merge branch 'master' into mapconfig-aggregation

NEWS.md

@@ -1,8 +1,20 @@
 # Changelog
 
-## 4.2.1
+## 4.3.1
 Released 2017-mm-dd
 
+Announcements:
+
+## 4.3.0
+Released 2017-12-11
+
+Announcements:
+- Optimize Formula queries.
+- Optimize Formula queries in overviews.
+- Optimize Numeric Histogram queries.
+- Optimize Date Histogram queries.
+- Date Histograms: Now returns the same value for max/min/avg/timestamp per bin.
+- Date Histograms: Now it should return the same no matter the DB/Client time zone.
 
 ## 4.2.0
 Released 2017-12-04

lib/cartodb/models/dataview/formula.js

@@ -1,34 +1,14 @@
 const BaseDataview = require('./base');
 const debug = require('debug')('windshaft:dataview:formula');
+const utils = require('../../utils/query-utils');
 
-const countInfinitiesQueryTpl = ctx => `
+const formulaQueryTpl = ctx =>
-    SELECT count(1) FROM (${ctx.query}) __cdb_formula_infinities
+`SELECT
-    WHERE ${ctx.column} = 'infinity'::float OR ${ctx.column} = '-infinity'::float
+    ${ctx.operation}(${utils.handleFloatColumn(ctx)}) AS result,
-`;
+    ${utils.countNULLs(ctx)} AS nulls_count
-
+    ${ctx.isFloatColumn ? `,${utils.countInfinites(ctx)} AS infinities_count,` : ``}
-const countNansQueryTpl = ctx => `
+    ${ctx.isFloatColumn ? `${utils.countNaNs(ctx)} AS nans_count` : ``}
-    SELECT count(1) FROM (${ctx.query}) __cdb_formula_nans
+FROM (${ctx.query}) __cdb_formula`;
-    WHERE ${ctx.column} = 'NaN'::float
-`;
-
-const filterOutSpecialNumericValuesTpl = ctx => `
-    WHERE
-        ${ctx.column} != 'infinity'::float
-    AND
-        ${ctx.column} != '-infinity'::float
-    AND
-        ${ctx.column} != 'NaN'::float
-`;
-
-const formulaQueryTpl = ctx => `
-    SELECT
-        ${ctx.operation}(${ctx.column}) AS result,
-        (SELECT count(1) FROM (${ctx.query}) _cdb_formula_nulls WHERE ${ctx.column} IS NULL) AS nulls_count
-        ${ctx.isFloatColumn ? `,(${countInfinitiesQueryTpl(ctx)}) AS infinities_count` : ''}
-        ${ctx.isFloatColumn ? `,(${countNansQueryTpl(ctx)}) AS nans_count` : ''}
-    FROM (${ctx.query}) __cdb_formula
-    ${ctx.isFloatColumn && ctx.operation !== 'count' ? `${filterOutSpecialNumericValuesTpl(ctx)}` : ''}
-`;
 
 const VALID_OPERATIONS = {
     count: true,

lib/cartodb/models/dataview/histograms/date-histogram.js

@@ -1,5 +1,102 @@
 const BaseHistogram = require('./base-histogram');
 const debug = require('debug')('windshaft:dataview:date-histogram');
+const utils = require('../../../utils/query-utils');
+
+/**
+ * Gets the name of a timezone with the same offset as the required
+ * using the pg_timezone_names table. We do this because it's simpler to pass
+ * the name than to pass the offset itself as PostgreSQL uses different
+ * sign convention. For example: TIME ZONE 'CET' is equal to TIME ZONE 'UTC-1',
+ * not 'UTC+1' which would be expected.
+ * Gives priority to Etc/GMT±N timezones but still support odd offsets like 8.5
+ * hours for Asia/Pyongyang.
+ * It also makes it easier to, in the future, support the input of expected timezone
+ * instead of the offset; that is using 'Europe/Madrid' instead of
+ * '+3600' or '+7200'. The daylight saving status can be handled by postgres.
+ */
+const offsetNameQueryTpl = ctx => `
+WITH __wd_tz AS
+(
+    SELECT name
+    FROM pg_timezone_names
+    WHERE utc_offset = interval '${ctx.offset} hours'
+    ORDER BY CASE WHEN name LIKE 'Etc/GMT%' THEN 0 ELSE 1 END
+    LIMIT 1
+),`;
+
+/**
+ * Function to get the subquery that places each row in its bin depending on
+ * the aggregation. Since the data stored is in epoch we need to adapt it to
+ * our timezone so when calling date_trunc it falls into the correct bin
+ */
+function dataBucketsQuery(ctx) {
+    var condition_str = '';
+
+    if (ctx.start !== 0) {
+        condition_str = `WHERE ${ctx.column} >= to_timestamp(${ctx.start})`;
+    }
+    if (ctx.end !== 0) {
+        if (condition_str === '') {
+            condition_str = `WHERE ${ctx.column} <= to_timestamp(${ctx.end})`;
+        }
+        else {
+            condition_str += ` and ${ctx.column} <= to_timestamp(${ctx.end})`;
+        }
+    }
+
+    return `
+__wd_buckets AS
+(
+    SELECT
+        date_trunc('${ctx.aggregation}', timezone(__wd_tz.name, ${ctx.column}::timestamptz)) as timestamp,
+        count(*) as freq,
+        ${utils.countNULLs(ctx)} as nulls_count
+    FROM
+    (
+        ${ctx.query}
+    ) __source, __wd_tz
+    ${condition_str}
+    GROUP BY timestamp, __wd_tz.name
+),`;
+}
+
+/**
+ * Function that generates an array with all the possible bins between the
+ * start and end date. If not provided we use the min and max generated from
+ * the dataBucketsQuery
+ */
+function allBucketsArrayQuery(ctx) {
+    var extra_from = ``;
+    var series_start = ``;
+    var series_end = ``;
+
+    if (ctx.start === 0) {
+        extra_from = `, __wd_buckets GROUP BY __wd_tz.name`;
+        series_start = `min(__wd_buckets.timestamp)`;
+    } else {
+        series_start = `date_trunc('${ctx.aggregation}', timezone(__wd_tz.name, to_timestamp(${ctx.start})))`;
+    }
+
+    if (ctx.end === 0) {
+        extra_from = `, __wd_buckets GROUP BY __wd_tz.name`;
+        series_end = `max(__wd_buckets.timestamp)`;
+    } else {
+        series_end = `date_trunc('${ctx.aggregation}', timezone(__wd_tz.name, to_timestamp(${ctx.end})))`;
+    }
+
+    return `
+__wd_all_buckets AS
+(
+    SELECT ARRAY(
+        SELECT
+            generate_series(
+                    ${series_start},
+                    ${series_end},
+                    interval '${ctx.interval}') as bin_start
+            FROM __wd_tz${extra_from}
+    ) as bins
+)`;
+}
 
 const dateIntervalQueryTpl = ctx => `
     WITH
@@ -41,107 +138,6 @@ const dateIntervalQueryTpl = ctx => `
     FROM __cdb_interval_in_days, __cdb_interval_in_hours, __cdb_interval_in_minutes, __cdb_interval_in_seconds
 `;
 
-const nullsQueryTpl = ctx => `
-    __cdb_nulls AS (
-        SELECT
-            count(*) AS __cdb_nulls_count
-        FROM (${ctx.query}) __cdb_histogram_nulls
-        WHERE ${ctx.column} IS NULL
-    )
-`;
-
-const dateBasicsQueryTpl = ctx => `
-    __cdb_basics AS (
-        SELECT
-            max(date_part('epoch', ${ctx.column})) AS __cdb_max_val,
-            min(date_part('epoch', ${ctx.column})) AS __cdb_min_val,
-            avg(date_part('epoch', ${ctx.column})) AS __cdb_avg_val,
-            min(
-                date_trunc(
-                    '${ctx.aggregation}', ${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}'
-                )
-            ) AS __cdb_start_date,
-            max(${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}') AS __cdb_end_date,
-            count(1) AS __cdb_total_rows
-        FROM (${ctx.query}) __cdb_basics_query
-    )
-`;
-
-const dateOverrideBasicsQueryTpl = ctx => `
-    __cdb_basics AS (
-        SELECT
-            max(${ctx.end})::float AS __cdb_max_val,
-            min(${ctx.start})::float AS __cdb_min_val,
-            avg(date_part('epoch', ${ctx.column})) AS __cdb_avg_val,
-            min(
-                date_trunc(
-                    '${ctx.aggregation}',
-                    TO_TIMESTAMP(${ctx.start})::timestamp AT TIME ZONE '${ctx.offset}'
-                )
-            ) AS __cdb_start_date,
-            max(
-                TO_TIMESTAMP(${ctx.end})::timestamp AT TIME ZONE '${ctx.offset}'
-            ) AS __cdb_end_date,
-            count(1) AS __cdb_total_rows
-        FROM (${ctx.query}) __cdb_basics_query
-    )
-`;
-
-const dateBinsQueryTpl = ctx => `
-    __cdb_bins AS (
-        SELECT
-            __cdb_bins_array,
-            ARRAY_LENGTH(__cdb_bins_array, 1) AS __cdb_bins_number
-        FROM (
-            SELECT
-                ARRAY(
-                    SELECT GENERATE_SERIES(
-                        __cdb_start_date::timestamptz,
-                        __cdb_end_date::timestamptz,
-                        ${ctx.aggregation === 'quarter' ? `'3 month'::interval` : `'1 ${ctx.aggregation}'::interval`}
-                    )
-                ) AS __cdb_bins_array
-            FROM __cdb_basics
-        ) __cdb_bins_array_query
-    )
-`;
-
-const dateHistogramQueryTpl = ctx => `
-    SELECT
-        (__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,
-        __cdb_bins_number AS bins_number,
-        __cdb_nulls_count AS nulls_count,
-        CASE WHEN __cdb_min_val = __cdb_max_val
-        THEN 0
-        ELSE GREATEST(
-            1,
-            LEAST(
-                WIDTH_BUCKET(
-                    ${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}',
-                    __cdb_bins_array
-                ),
-                __cdb_bins_number
-            )
-        ) - 1
-        END AS bin,
-        min(
-            date_part(
-                'epoch',
-                date_trunc(
-                    '${ctx.aggregation}', ${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}'
-                ) AT TIME ZONE '${ctx.offset}'
-            )
-        )::numeric AS timestamp,
-        date_part('epoch', __cdb_start_date)::numeric AS timestamp_start,
-        min(date_part('epoch', ${ctx.column}))::numeric AS min,
-        max(date_part('epoch', ${ctx.column}))::numeric AS max,
-        avg(date_part('epoch', ${ctx.column}))::numeric AS avg,
-        count(*) AS freq
-    FROM (${ctx.query}) __cdb_histogram, __cdb_basics, __cdb_bins, __cdb_nulls
-    WHERE date_part('epoch', ${ctx.column}) IS NOT NULL
-    GROUP BY bin, bins_number, bin_width, nulls_count, timestamp_start
-    ORDER BY bin
-`;
 
 const MAX_INTERVAL_VALUE = 366;
 
@@ -176,12 +172,21 @@ module.exports = class DateHistogram extends BaseHistogram {
 
     _buildQueryTpl (ctx) {
         return `
-            WITH
+${offsetNameQueryTpl(ctx)}
-            ${this._hasOverridenRange(ctx.override) ? dateOverrideBasicsQueryTpl(ctx) : dateBasicsQueryTpl(ctx)},
+${dataBucketsQuery(ctx)}
-            ${dateBinsQueryTpl(ctx)},
+${allBucketsArrayQuery(ctx)}
-            ${nullsQueryTpl(ctx)}
+SELECT
-            ${dateHistogramQueryTpl(ctx)}
+    array_position(__wd_all_buckets.bins, __wd_buckets.timestamp) - 1 as bin,
-        `;
+    date_part('epoch', timezone(__wd_tz.name, __wd_buckets.timestamp)) AS timestamp,
+    __wd_buckets.freq as freq,
+    date_part('epoch', timezone(__wd_tz.name, (__wd_all_buckets.bins)[1])) as timestamp_start,
+    array_length(__wd_all_buckets.bins, 1) as bins_number,
+    date_part('epoch', interval '${ctx.interval}') as bin_width,
+    __wd_buckets.nulls_count as nulls_count
+FROM __wd_buckets, __wd_all_buckets, __wd_tz
+GROUP BY __wd_tz.name, __wd_all_buckets.bins, __wd_buckets.timestamp, __wd_buckets.nulls_count, __wd_buckets.freq
+ORDER BY bin ASC;
+`;
     }
 
     _buildQuery (psql, override, callback) {
@@ -204,6 +209,9 @@ module.exports = class DateHistogram extends BaseHistogram {
             return null;
         }
 
+        var interval = this._getAggregation(override) === 'quarter' ?
+            '3 months' : '1 ' + this._getAggregation(override);
+
         const histogramSql = this._buildQueryTpl({
             override: override,
             query: this.query,
@@ -211,7 +219,8 @@ module.exports = class DateHistogram extends BaseHistogram {
             aggregation: this._getAggregation(override),
             start: this._getBinStart(override),
             end: this._getBinEnd(override),
-            offset: this._parseOffset(override)
+            offset: this._parseOffset(override),
+            interval: interval
         });
 
         debug(histogramSql);
@@ -264,8 +273,8 @@ module.exports = class DateHistogram extends BaseHistogram {
             offset: this._getOffset(override),
             timestamp_start: firstRow.timestamp_start,
 
-            bin_width: firstRow.bin_width,
+            bin_width: firstRow.bin_width || 0,
-            bins_count: firstRow.bins_number,
+            bins_count: firstRow.bins_number || 0,
             bins_start: firstRow.timestamp,
             nulls: firstRow.nulls_count,
             infinities: firstRow.infinities_count,
@@ -275,6 +284,10 @@ module.exports = class DateHistogram extends BaseHistogram {
     }
 
     _getBuckets (result) {
+        result.rows.forEach(function(row) {
+            row.min = row.max = row.avg = row.timestamp;
+        });
+
         return result.rows.map(({ bin, min, max, avg, freq, timestamp }) => ({ bin, min, max, avg, freq, timestamp }));
     }
 

lib/cartodb/models/dataview/histograms/numeric-histogram.js

@@ -1,44 +1,25 @@
 const BaseHistogram = require('./base-histogram');
 const debug = require('debug')('windshaft:dataview:numeric-histogram');
+const utils = require('../../../utils/query-utils');
 
-const columnCastTpl = ctx => `date_part('epoch', ${ctx.column})`;
+/** Query to get min and max values from the query */
-
+const irqQueryTpl = ctx => `
-const filterOutSpecialNumericValues = ctx => `
-        ${ctx.column} != 'infinity'::float
-    AND
-        ${ctx.column} != '-infinity'::float
-    AND
-        ${ctx.column} != 'NaN'::float
-`;
-
-const filteredQueryTpl = ctx => `
     __cdb_filtered_source AS (
         SELECT *
         FROM (${ctx.query}) __cdb_filtered_source_query
-        WHERE ${ctx.column} IS NOT NULL
+        WHERE ${utils.handleFloatColumn(ctx)} IS NOT NULL
-        ${ctx.isFloatColumn ? `AND ${filterOutSpecialNumericValues(ctx)}` : ''}
+    ),
-    )
-`;
-
-const basicsQueryTpl = ctx => `
     __cdb_basics AS (
         SELECT
-            max(${ctx.column}) AS __cdb_max_val, min(${ctx.column}) AS __cdb_min_val,
+            max(${ctx.column}) AS __cdb_max_val,
-            avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
+            min(${ctx.column}) AS __cdb_min_val,
+            count(1) AS __cdb_total_rows
         FROM __cdb_filtered_source
     )
 `;
 
-const overrideBasicsQueryTpl = ctx => `
+/* Query to calculate the number of bins (needs irqQueryTpl before it*/
-    __cdb_basics AS (
+const binsQueryTpl = ctx => `
-        SELECT
-            max(${ctx.end}) AS __cdb_max_val, min(${ctx.start}) AS __cdb_min_val,
-            avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
-        FROM __cdb_filtered_source
-    )
-`;
-
-const iqrQueryTpl = ctx => `
     __cdb_iqrange AS (
         SELECT max(quartile_max) - min(quartile_max) AS __cdb_iqr
         FROM (
@@ -49,10 +30,7 @@ const iqrQueryTpl = ctx => `
             WHERE quartile = 1 or quartile = 3
             GROUP BY quartile
         ) __cdb_iqr
-    )
+    ),
-`;
-
-const binsQueryTpl = ctx => `
     __cdb_bins AS (
         SELECT
             CASE WHEN __cdb_total_rows = 0 OR __cdb_iqr = 0
@@ -70,83 +48,6 @@ const binsQueryTpl = ctx => `
     )
 `;
 
-const overrideBinsQueryTpl = ctx => `
-    __cdb_bins AS (
-        SELECT ${ctx.override.bins} AS __cdb_bins_number
-    )
-`;
-
-const nullsQueryTpl = ctx => `
-    __cdb_nulls AS (
-        SELECT
-            count(*) AS __cdb_nulls_count
-        FROM (${ctx.query}) __cdb_histogram_nulls
-        WHERE ${ctx.column} IS NULL
-    )
-`;
-
-const infinitiesQueryTpl = ctx => `
-    __cdb_infinities AS (
-        SELECT
-            count(*) AS __cdb_infinities_count
-        FROM (${ctx.query}) __cdb_infinities_query
-        WHERE
-            ${ctx.column} = 'infinity'::float
-        OR
-            ${ctx.column} = '-infinity'::float
-    )
-`;
-
-const nansQueryTpl = ctx => `
-    __cdb_nans AS (
-        SELECT
-            count(*) AS __cdb_nans_count
-        FROM (${ctx.query}) __cdb_nans_query
-        WHERE ${ctx.column} = 'NaN'::float
-    )
-`;
-
-const specialNumericValuesColumnDefinitionTpl = () => `
-    __cdb_infinities_count AS infinities_count,
-    __cdb_nans_count AS nans_count
-`;
-
-const specialNumericValuesCTETpl = () => `
-    __cdb_infinities, __cdb_nans
-`;
-
-const specialNumericValuesColumnTpl = () => `
-    infinities_count, nans_count
-`;
-
-const histogramQueryTpl = ctx => `
-    SELECT
-        (__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,
-        __cdb_bins_number AS bins_number,
-        __cdb_nulls_count AS nulls_count,
-        ${ctx.isFloatColumn ? `${specialNumericValuesColumnDefinitionTpl()},` : ''}
-        __cdb_avg_val AS avg_val,
-        CASE WHEN __cdb_min_val = __cdb_max_val
-            THEN 0
-            ELSE GREATEST(
-                1,
-                LEAST(
-                    WIDTH_BUCKET(${ctx.column}, __cdb_min_val, __cdb_max_val, __cdb_bins_number),
-                    __cdb_bins_number
-                )
-            ) - 1
-        END AS bin,
-        min(${ctx.column})::numeric AS min,
-        max(${ctx.column})::numeric AS max,
-        avg(${ctx.column})::numeric AS avg,
-        count(*) AS freq
-    FROM __cdb_filtered_source, __cdb_basics, __cdb_nulls, __cdb_bins
-        ${ctx.isFloatColumn ? `, ${specialNumericValuesCTETpl()}` : ''}
-    GROUP BY bin, bins_number, bin_width, nulls_count, avg_val
-        ${ctx.isFloatColumn ? `, ${specialNumericValuesColumnTpl()}` : ''}
-    ORDER BY bin
-`;
-
 const BIN_MIN_NUMBER = 6;
 const BIN_MAX_NUMBER = 48;
 
@@ -167,14 +68,14 @@ module.exports = class NumericHistogram extends BaseHistogram {
 
     _buildQuery (psql, override, callback) {
         const histogramSql = this._buildQueryTpl({
-            override: override,
+            column: this._columnType === 'date' ? utils.columnCastTpl({ column: this.column }) : this.column,
-            column: this._columnType === 'date' ? columnCastTpl({ column: this.column }) : this.column,
             isFloatColumn: this._columnType === 'float',
             query: this.query,
             start: this._getBinStart(override),
             end: this._getBinEnd(override),
+            bins: this._getBinsCount(override),
             minBins: BIN_MIN_NUMBER,
-            maxBins: BIN_MAX_NUMBER,
+            maxBins: BIN_MAX_NUMBER
         });
 
         debug(histogramSql);
@@ -182,19 +83,62 @@ module.exports = class NumericHistogram extends BaseHistogram {
         return callback(null, histogramSql);
     }
 
+
+/**
+ * ctx: Object with the following values
+ * ctx.column -- Column for the histogram
+ * ctx.isFloatColumn - Whether the column is float or not
+ * ctx.query -- Subquery to extract data
+ * ctx.start -- Start value for the bins. [>= end to force calculation]
+ * ctx.end -- End value for the bins.
+ * ctx.bins -- Numbers of bins to generate [<0 to force calculation]
+ * ctx.minBins - If !full min bins to calculate [Optional]
+ * ctx.maxBins - If !full max bins to calculate [Optional]
+ */
     _buildQueryTpl (ctx) {
+        var extra_tables = ``;
+        var extra_queries = ``;
+        var extra_groupby = ``;
+
+        if (ctx.start >= ctx.end) {
+            ctx.end = `__cdb_basics.__cdb_max_val`;
+            ctx.start = `__cdb_basics.__cdb_min_val`;
+            extra_groupby = `, __cdb_basics.__cdb_max_val, __cdb_basics.__cdb_min_val`;
+            extra_tables = `, __cdb_basics`;
+            extra_queries = `WITH ${irqQueryTpl(ctx)}`;
+        }
+
+        if (ctx.bins <= 0) {
+            ctx.bins = `__cdb_bins.__cdb_bins_number`;
+            extra_groupby += `, __cdb_bins.__cdb_bins_number`;
+            extra_tables += `, __cdb_bins`;
+            extra_queries = `WITH ${irqQueryTpl(ctx)}, ${binsQueryTpl(ctx)}`;
+        }
+
         return `
-            WITH
+${extra_queries}
-            ${filteredQueryTpl(ctx)},
+SELECT
-            ${this._hasOverridenRange(ctx.override) ? overrideBasicsQueryTpl(ctx) : basicsQueryTpl(ctx)},
+    (${ctx.end} - ${ctx.start}) / ${ctx.bins}::float AS bin_width,
-            ${this._hasOverridenBins(ctx.override) ?
+    ${ctx.bins} as bins_number,
-                overrideBinsQueryTpl(ctx) :
+    ${utils.countNULLs(ctx)} AS nulls_count,
-                `${iqrQueryTpl(ctx)}, ${binsQueryTpl(ctx)}`
+    ${utils.countInfinites(ctx)} AS infinities_count,
-            },
+    ${utils.countNaNs(ctx)} AS nans_count,
-            ${nullsQueryTpl(ctx)}
+    min(${utils.handleFloatColumn(ctx)}) AS min,
-            ${ctx.isFloatColumn ? `,${infinitiesQueryTpl(ctx)}, ${nansQueryTpl(ctx)}` : ''}
+    max(${utils.handleFloatColumn(ctx)}) AS max,
-            ${histogramQueryTpl(ctx)}
+    avg(${utils.handleFloatColumn(ctx)}) AS avg,
-        `;
+    sum(CASE WHEN (${utils.handleFloatColumn(ctx)} is not NULL) THEN 1 ELSE 0 END) as freq,
+    CASE WHEN ${ctx.start} = ${ctx.end}
+        THEN 0
+        ELSE GREATEST(1, LEAST(
+                    ${ctx.bins},
+                    WIDTH_BUCKET(${utils.handleFloatColumn(ctx)}, ${ctx.start}, ${ctx.end}, ${ctx.bins}))) - 1
+    END AS bin
+FROM
+(
+    ${ctx.query}
+) __cdb_filtered_source_query${extra_tables}
+GROUP BY bin${extra_groupby}
+ORDER BY bin;`;
     }
 
     _hasOverridenBins (override) {
@@ -204,14 +148,31 @@ module.exports = class NumericHistogram extends BaseHistogram {
     _getSummary (result, override) {
         const firstRow = result.rows[0] || {};
 
+        var total_nulls = 0;
+        var total_infinities = 0;
+        var total_nans = 0;
+        var total_avg = 0;
+        var total_count = 0;
+
+        result.rows.forEach(function(row) {
+            total_nulls += row.nulls_count;
+            total_infinities += row.infinities_count;
+            total_nans += row.nans_count;
+            total_avg += row.avg * row.freq;
+            total_count += row.freq;
+        });
+        if (total_count !== 0) {
+            total_avg /= total_count;
+        }
+
         return {
             bin_width: firstRow.bin_width,
             bins_count: firstRow.bins_number,
             bins_start: this._populateBinStart(firstRow, override),
-            nulls: firstRow.nulls_count,
+            nulls: total_nulls,
-            infinities: firstRow.infinities_count,
+            infinities: total_infinities,
-            nans: firstRow.nans_count,
+            nans: total_nans,
-            avg: firstRow.avg_val,
+            avg: total_avg
         };
     }
 

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

@@ -1,55 +1,38 @@
 var BaseOverviewsDataview = require('./base');
 var BaseDataview = require('../formula');
 var debug = require('debug')('windshaft:widget:formula:overview');
+const utils = require('../../../utils/query-utils');
 
 var dot = require('dot');
 dot.templateSettings.strip = false;
 
-var formulaQueryTpls = {
+const VALID_OPERATIONS = {
-    'count': dot.template([
+    count: true,
-        'SELECT',
+    sum: true,
-        'sum(_feature_count) AS result,',
+    avg: true
-        '(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')),
 };
 
+/** Formulae to calculate the end result using _feature_count from the overview table*/
+function dataviewResult(ctx) {
+    switch (ctx.operation) {
+        case 'count':
+            return `sum(_feature_count)`;
+        case 'sum':
+            return `sum(${utils.handleFloatColumn(ctx)}*_feature_count)`;
+        case 'avg':
+            return `sum(${utils.handleFloatColumn(ctx)}*_feature_count)/sum(_feature_count) `;
+    }
+    return `${ctx.operation}(${utils.handleFloatColumn(ctx)})`;
+}
+
+const formulaQueryTpl = ctx =>
+`SELECT
+    ${dataviewResult(ctx)} AS result,
+    ${utils.countNULLs(ctx)} AS nulls_count
+    ${ctx.isFloatColumn ? `,${utils.countInfinites(ctx)} AS infinities_count,` : ``}
+    ${ctx.isFloatColumn ? `${utils.countNaNs(ctx)} AS nans_count` : ``}
+FROM (${ctx.query}) __cdb_formula`;
+
 function Formula(query, options, queryRewriter, queryRewriteData, params, queries) {
     BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
     this.column = options.column || '1';
@@ -65,36 +48,31 @@ module.exports = Formula;
 
 Formula.prototype.sql = function (psql, override, callback) {
     var self = this;
-    var formulaQueryTpl = formulaQueryTpls[this.operation];
+    if (!VALID_OPERATIONS[this.operation]) {
-
+        return this.defaultSql(psql, override, callback);
-    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({
-            _isFloatColumn: this._isFloatColumn,
-            _query: this.rewrittenQuery(this.query),
-            _operation: this.operation,
-            _column: this.column
-        });
-
-        callback = callback || override;
-
-        debug(formulaSql);
-
-        return callback(null, formulaSql);
     }
 
+    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;
+    }
 
-    // default behaviour
+    var formulaSql = formulaQueryTpl({
-    return this.defaultSql(psql, override, callback);
+        isFloatColumn: this._isFloatColumn,
+        query: this.rewrittenQuery(this.query),
+        operation: this.operation,
+        column: this.column
+    });
+
+    callback = callback || override;
+
+    debug(formulaSql);
+
+    return callback(null, formulaSql);
 };

lib/cartodb/utils/query-utils.js

@@ -40,3 +40,34 @@ module.exports.getAggregationMetadata = ctx => `
         geom_type AS type
     FROM rowEstimation, geometryType;
 `;
+
+/** Cast the column to epoch */
+module.exports.columnCastTpl = function columnCastTpl(ctx) {
+    return `date_part('epoch', ${ctx.column})`;
+};
+
+/** If the column type is float, ignore any non numeric result (infinity / NaN) */
+module.exports.handleFloatColumn = function handleFloatColumn(ctx) {
+    return `${!ctx.isFloatColumn ? `${ctx.column}` :
+        `nullif(nullif(nullif(${ctx.column}, 'infinity'::float), '-infinity'::float), 'NaN'::float)`
+    }`;
+};
+
+/** Count NULL appearances */
+module.exports.countNULLs= function countNULLs(ctx) {
+    return `sum(CASE WHEN (${ctx.column} IS NULL) THEN 1 ELSE 0 END)`;
+};
+
+/** Count only infinity (positive and negative) appearances */
+module.exports.countInfinites = function countInfinites(ctx) {
+    return `${!ctx.isFloatColumn ? `0` :
+        `sum(CASE WHEN (${ctx.column} = 'infinity'::float OR ${ctx.column} = '-infinity'::float) THEN 1 ELSE 0 END)`
+    }`;
+};
+
+/** Count only NaNs appearances*/
+module.exports.countNaNs = function countNaNs(ctx) {
+    return `${!ctx.isFloatColumn ? `0` :
+        `sum(CASE WHEN (${ctx.column} = 'NaN'::float) THEN 1 ELSE 0 END)`
+    }`;
+};

package.json

@@ -1,7 +1,7 @@
 {
   "private": true,
   "name": "windshaft-cartodb",
-  "version": "4.2.1",
+  "version": "4.3.1",
   "description": "A map tile server for CartoDB",
   "keywords": [
     "cartodb"

test/acceptance/dataviews/histogram.js

@@ -186,7 +186,7 @@ describe('histogram-dataview for date column type', function() {
             },
             minute_histogram: {
                 source: {
-                    id: 'minute-histogram-source'
+                    id: 'minute-histogram-source-tz'
                 },
                 type: 'histogram',
                 options: {
@@ -214,8 +214,8 @@ describe('histogram-dataview for date column type', function() {
                 "params": {
                     "query": [
                         "select null::geometry the_geom_webmercator, date AS d",
-                        "from generate_series(",
+                        "from generate_series('2007-02-15 01:00:00+00'::timestamptz,",
-                            "'2007-02-15 01:00:00'::timestamptz, '2008-04-09 01:00:00'::timestamptz, '1 day'::interval",
+                        "'2008-04-09 01:00:00+00'::timestamptz, '1 day'::interval",
                         ") date"
                     ].join(' ')
                 }
@@ -233,13 +233,13 @@ describe('histogram-dataview for date column type', function() {
                 }
             },
             {
-                "id": "minute-histogram-source",
+                "id": "minute-histogram-source-tz",
                 "type": "source",
                 "params": {
                     "query": [
                         "select null::geometry the_geom_webmercator, date AS d",
-                        "from generate_series(",
+                        "from generate_series('2007-02-15 23:50:00+00'::timestamptz,",
-                            "'2007-02-15 23:50:00'::timestamp, '2007-02-16 00:10:00'::timestamp, '1 minute'::interval",
+                        "'2007-02-16 00:10:00+00'::timestamptz, '1 minute'::interval",
                         ") date"
                     ].join(' ')
                 }
@@ -256,6 +256,7 @@ describe('histogram-dataview for date column type', function() {
     }];
 
     dateHistogramsUseCases.forEach(function (test) {
+
         it('should create a date histogram aggregated in months (EDT) ' + test.desc, function (done) {
             var OFFSET_EDT_IN_MINUTES = -4 * 60; // EDT Eastern Daylight Time (GMT-4) in minutes
 
@@ -323,7 +324,7 @@ describe('histogram-dataview for date column type', function() {
                 assert.ok(!err, err);
                 assert.equal(dataview.type, 'histogram');
                 assert.ok(dataview.bin_width > 0, 'Unexpected bin width: ' + dataview.bin_width);
-                assert.equal(dataview.bins.length, 6);
+                assert.equal(dataview.bins_count, 6);
                 dataview.bins.forEach(function (bin) {
                     assert.ok(bin.min <= bin.max, 'bin min < bin max: ' + JSON.stringify(bin));
                 });
@@ -335,7 +336,7 @@ describe('histogram-dataview for date column type', function() {
         it('should cast overridden start and end to float to avoid out of range errors ' + test.desc, function (done) {
             var params = {
                 start: -2145916800,
-                end: 1009843199
+                end: 1193792400
             };
 
             this.testClient = new TestClient(mapConfig, 1234);
@@ -348,27 +349,6 @@ describe('histogram-dataview for date column type', function() {
             });
         });
 
-        it('should return same histogram ' + test.desc, function (done) {
-            var params = {
-                start: 1171501200, // 2007-02-15 01:00:00 = min(date_colum)
-                end: 1207702800 // 2008-04-09 01:00:00 = max(date_colum)
-            };
-
-            this.testClient = new TestClient(mapConfig, 1234);
-            this.testClient.getDataview(test.dataviewId, {}, function (err, dataview) {
-                assert.ok(!err, err);
-
-                this.testClient = new TestClient(mapConfig, 1234);
-                this.testClient.getDataview(test.dataviewId, params, function (err, filteredDataview) {
-                    assert.ok(!err, err);
-
-                    assert.deepEqual(dataview, filteredDataview);
-                    done();
-                });
-            });
-        });
-
-
         it('should aggregate histogram overriding default offset to CEST ' + test.desc, function (done) {
             var OFFSET_CEST_IN_SECONDS = 2 * 3600; // Central European Summer Time (Daylight Saving Time)
             var OFFSET_CEST_IN_MINUTES = 2 * 60; // Central European Summer Time (Daylight Saving Time)
@@ -533,6 +513,26 @@ describe('histogram-dataview for date column type', function() {
         });
     });
 
+    it('should return same histogram ', function (done) {
+        var params = {
+            start: 1171501200, // 2007-02-15 01:00:00 = min(date_colum)
+            end: 1207702800 // 2008-04-09 01:00:00 = max(date_colum)
+        };
+
+        this.testClient = new TestClient(mapConfig, 1234);
+        this.testClient.getDataview('datetime_histogram_tz', {}, function (err, dataview) {
+            assert.ok(!err, err);
+
+            this.testClient = new TestClient(mapConfig, 1234);
+            this.testClient.getDataview('datetime_histogram_tz', params, function (err, filteredDataview) {
+                assert.ok(!err, err);
+
+                assert.deepEqual(dataview, filteredDataview);
+                done();
+            });
+        });
+    });
+
     it('should find the best aggregation (automatic mode) to build the histogram', function (done) {
         var params = {};
         this.testClient = new TestClient(mapConfig, 1234);
@@ -640,7 +640,7 @@ describe('histogram-dataview for date column type', function() {
 
         var dataviewWithDailyAggFixture = {
             aggregation: 'day',
-            bin_width: 600,
+            bin_width: 86400,
             bins_count: 2,
             bins_start: 1171497600,
             timestamp_start: 1171497600,
@@ -650,17 +650,17 @@ describe('histogram-dataview for date column type', function() {
             [{
                 bin: 0,
                 timestamp: 1171497600,
-                min: 1171583400,
+                min: 1171497600,
-                max: 1171583940,
+                max: 1171497600,
-                avg: 1171583670,
+                avg: 1171497600,
                 freq: 10
             },
             {
                 bin: 1,
                 timestamp: 1171584000,
                 min: 1171584000,
-                max: 1171584600,
+                max: 1171584000,
-                avg: 1171584300,
+                avg: 1171584000,
                 freq: 11
             }],
             type: 'histogram'
@@ -687,19 +687,19 @@ describe('histogram-dataview for date column type', function() {
 
         var dataviewWithDailyAggAndOffsetFixture = {
             aggregation: 'day',
-            bin_width: 1200,
+            bin_width: 86400,
             bins_count: 1,
             bins_start: 1171501200,
-            timestamp_start: 1171497600,
+            timestamp_start: 1171501200,
             nulls: 0,
             offset: -3600,
             bins:
             [{
                 bin: 0,
                 timestamp: 1171501200,
-                min: 1171583400,
+                min: 1171501200,
-                max: 1171584600,
+                max: 1171501200,
-                avg: 1171584000,
+                avg: 1171501200,
                 freq: 21
             }],
             type: 'histogram'