235 lines
6.8 KiB
JavaScript
235 lines
6.8 KiB
JavaScript
const BaseHistogram = require('./base-histogram');
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const debug = require('debug')('windshaft:dataview:numeric-histogram');
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const columnCastTpl = ctx => `date_part('epoch', ${ctx.column})`;
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const filterOutSpecialNumericValues = ctx => `
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${ctx.column} != 'infinity'::float
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AND
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${ctx.column} != '-infinity'::float
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AND
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${ctx.column} != 'NaN'::float
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`;
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const filteredQueryTpl = ctx => `
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__cdb_filtered_source AS (
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SELECT *
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FROM (${ctx.query}) __cdb_filtered_source_query
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WHERE ${ctx.column} IS NOT NULL
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${ctx.isFloatColumn ? `AND ${filterOutSpecialNumericValues(ctx)}` : ''}
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)
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`;
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const basicsQueryTpl = ctx => `
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__cdb_basics AS (
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SELECT
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max(${ctx.column}) AS __cdb_max_val, min(${ctx.column}) AS __cdb_min_val,
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avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
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FROM __cdb_filtered_source
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)
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`;
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const overrideBasicsQueryTpl = ctx => `
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__cdb_basics AS (
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SELECT
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max(${ctx.end}) AS __cdb_max_val, min(${ctx.start}) AS __cdb_min_val,
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avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
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FROM __cdb_filtered_source
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)
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`;
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const iqrQueryTpl = ctx => `
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__cdb_iqrange AS (
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SELECT max(quartile_max) - min(quartile_max) AS __cdb_iqr
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FROM (
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SELECT quartile, max(_cdb_iqr_column) AS quartile_max from (
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SELECT ${ctx.column} AS _cdb_iqr_column, ntile(4) over (order by ${ctx.column}
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) AS quartile
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FROM __cdb_filtered_source) _cdb_quartiles
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WHERE quartile = 1 or quartile = 3
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GROUP BY quartile
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) __cdb_iqr
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)
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`;
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const binsQueryTpl = ctx => `
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__cdb_bins AS (
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SELECT
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CASE WHEN __cdb_total_rows = 0 OR __cdb_iqr = 0
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THEN 1
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ELSE GREATEST(
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LEAST(${ctx.minBins}, CAST(__cdb_total_rows AS INT)),
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LEAST(
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CAST(((__cdb_max_val - __cdb_min_val) / (2 * __cdb_iqr * power(__cdb_total_rows, 1/3))) AS INT),
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${ctx.maxBins}
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)
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)
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END AS __cdb_bins_number
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FROM __cdb_basics, __cdb_iqrange, __cdb_filtered_source
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LIMIT 1
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)
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`;
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const overrideBinsQueryTpl = ctx => `
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__cdb_bins AS (
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SELECT ${ctx.override.bins} AS __cdb_bins_number
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)
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`;
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const nullsQueryTpl = ctx => `
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__cdb_nulls AS (
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SELECT
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count(*) AS __cdb_nulls_count
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FROM (${ctx.query}) __cdb_histogram_nulls
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WHERE ${ctx.column} IS NULL
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)
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`;
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const infinitiesQueryTpl = ctx => `
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__cdb_infinities AS (
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SELECT
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count(*) AS __cdb_infinities_count
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FROM (${ctx.query}) __cdb_infinities_query
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WHERE
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${ctx.column} = 'infinity'::float
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OR
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${ctx.column} = '-infinity'::float
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)
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`;
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const nansQueryTpl = ctx => `
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__cdb_nans AS (
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SELECT
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count(*) AS __cdb_nans_count
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FROM (${ctx.query}) __cdb_nans_query
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WHERE ${ctx.column} = 'NaN'::float
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)
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`;
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const specialNumericValuesColumnDefinitionTpl = () => `
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__cdb_infinities_count AS infinities_count,
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__cdb_nans_count AS nans_count
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`;
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const specialNumericValuesCTETpl = () => `
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__cdb_infinities, __cdb_nans
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`;
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const specialNumericValuesColumnTpl = () => `
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infinities_count, nans_count
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`;
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const histogramQueryTpl = ctx => `
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SELECT
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(__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,
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__cdb_bins_number AS bins_number,
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__cdb_nulls_count AS nulls_count,
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${ctx.isFloatColumn ? `${specialNumericValuesColumnDefinitionTpl()},` : ''}
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__cdb_avg_val AS avg_val,
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CASE WHEN __cdb_min_val = __cdb_max_val
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THEN 0
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ELSE GREATEST(
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1,
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LEAST(
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WIDTH_BUCKET(${ctx.column}, __cdb_min_val, __cdb_max_val, __cdb_bins_number),
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__cdb_bins_number
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)
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) - 1
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END AS bin,
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min(${ctx.column})::numeric AS min,
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max(${ctx.column})::numeric AS max,
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avg(${ctx.column})::numeric AS avg,
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count(*) AS freq
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FROM __cdb_filtered_source, __cdb_basics, __cdb_nulls, __cdb_bins
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${ctx.isFloatColumn ? `, ${specialNumericValuesCTETpl()}` : ''}
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GROUP BY bin, bins_number, bin_width, nulls_count, avg_val
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${ctx.isFloatColumn ? `, ${specialNumericValuesColumnTpl()}` : ''}
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ORDER BY bin
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`;
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const BIN_MIN_NUMBER = 6;
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const BIN_MAX_NUMBER = 48;
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/**
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Numeric histogram:
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{
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type: 'histogram',
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options: {
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column: 'name', // column data type: numeric
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bins: 10 // OPTIONAL
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}
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}
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*/
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module.exports = class NumericHistogram extends BaseHistogram {
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constructor (query, options, queries) {
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super(query, options, queries);
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}
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_buildQuery (psql, override, callback) {
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const histogramSql = this._buildQueryTpl({
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override: override,
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column: this._columnType === 'date' ? columnCastTpl({ column: this.column }) : this.column,
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isFloatColumn: this._columnType === 'float',
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query: this.query,
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start: this._getBinStart(override),
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end: this._getBinEnd(override),
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minBins: BIN_MIN_NUMBER,
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maxBins: BIN_MAX_NUMBER,
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});
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debug(histogramSql);
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return callback(null, histogramSql);
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}
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_buildQueryTpl (ctx) {
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return `
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WITH
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${filteredQueryTpl(ctx)},
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${this._hasOverridenRange(ctx.override) ? overrideBasicsQueryTpl(ctx) : basicsQueryTpl(ctx)},
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${this._hasOverridenBins(ctx.override) ?
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overrideBinsQueryTpl(ctx) :
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`${iqrQueryTpl(ctx)}, ${binsQueryTpl(ctx)}`
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},
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${nullsQueryTpl(ctx)}
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${ctx.isFloatColumn ? `,${infinitiesQueryTpl(ctx)}, ${nansQueryTpl(ctx)}` : ''}
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${histogramQueryTpl(ctx)}
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`;
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}
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_hasOverridenBins (override) {
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return override && override.hasOwnProperty('bins');
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}
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_getSummary (result, override) {
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const firstRow = result.rows[0] || {};
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return {
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bin_width: firstRow.bin_width,
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bins_count: firstRow.bins_number,
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bins_start: this._populateBinStart(firstRow, override),
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nulls: firstRow.nulls_count,
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infinities: firstRow.infinities_count,
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nans: firstRow.nans_count,
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avg: firstRow.avg_val,
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};
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}
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_getBuckets (result) {
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return result.rows.map(({ bin, min, max, avg, freq }) => ({ bin, min, max, avg, freq }));
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}
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_populateBinStart (firstRow, override = {}) {
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let binStart;
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if (override.hasOwnProperty('start')) {
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binStart = this._getBinStart(override);
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} else {
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binStart = firstRow.min;
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}
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return binStart;
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}
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};
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