Use template string for dateBinsQueryTpl and dateHistogramQueryTpl
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@ -230,58 +230,61 @@ const dateOverrideBasicsQueryTpl = ctx => `
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)
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`;
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var dateBinsQueryTpl = dot.template([
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'__cdb_bins AS (',
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' SELECT',
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' __cdb_bins_array,',
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' ARRAY_LENGTH(__cdb_bins_array, 1) AS __cdb_bins_number',
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' FROM (',
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' SELECT',
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' ARRAY(',
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' SELECT GENERATE_SERIES(',
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' __cdb_start_date::timestamptz,',
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' __cdb_end_date::timestamptz,',
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' {{?it._aggregation==="quarter"}}\'3 month\'{{??}}\'1 {{=it._aggregation}}\'{{?}}::interval',
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' )',
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' ) AS __cdb_bins_array',
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' FROM __cdb_basics',
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' ) __cdb_bins_array_query',
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')'
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].join('\n'));
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const dateBinsQueryTpl = ctx => `
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__cdb_bins AS (
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SELECT
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__cdb_bins_array,
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ARRAY_LENGTH(__cdb_bins_array, 1) AS __cdb_bins_number
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FROM (
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SELECT
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ARRAY(
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SELECT GENERATE_SERIES(
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__cdb_start_date::timestamptz,
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__cdb_end_date::timestamptz,
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${ctx._aggregation === 'quarter' ? `'3 month'::interval` : `'1 ${ctx._aggregation}'::interval`}
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)
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) AS __cdb_bins_array
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FROM __cdb_basics
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) __cdb_bins_array_query
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)
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`;
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var dateHistogramQueryTpl = dot.template([
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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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' CASE WHEN __cdb_min_val = __cdb_max_val',
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' THEN 0',
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' ELSE GREATEST(1, LEAST(',
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' WIDTH_BUCKET(',
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' {{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\',',
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' __cdb_bins_array',
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' ),',
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' __cdb_bins_number',
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' )) - 1',
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' END AS bin,',
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' min(',
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' date_part(',
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' \'epoch\', ',
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' date_trunc(',
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' \'{{=it._aggregation}}\', {{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\'',
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' ) AT TIME ZONE \'{{=it._offset}}\'',
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' )',
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' )::numeric AS timestamp,',
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' date_part(\'epoch\', __cdb_start_date)::numeric AS timestamp_start,',
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' min(date_part(\'epoch\', {{=it._column}}))::numeric AS min,',
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' max(date_part(\'epoch\', {{=it._column}}))::numeric AS max,',
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' avg(date_part(\'epoch\', {{=it._column}}))::numeric AS avg,',
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' count(*) AS freq',
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'FROM ({{=it._query}}) __cdb_histogram, __cdb_basics, __cdb_bins, __cdb_nulls',
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'WHERE date_part(\'epoch\', {{=it._column}}) IS NOT NULL',
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'GROUP BY bin, bins_number, bin_width, nulls_count, timestamp_start',
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'ORDER BY bin'
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].join('\n'));
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const dateHistogramQueryTpl = 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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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(
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${ctx._column}::timestamp AT TIME ZONE '${ctx._offset}',
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__cdb_bins_array
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),
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__cdb_bins_number
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)
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) - 1
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END AS bin,
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min(
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date_part(
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'epoch',
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date_trunc(
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'${ctx._aggregation}', ${ctx._column}::timestamp AT TIME ZONE '${ctx._offset}'
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) AT TIME ZONE '${ctx._offset}'
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)
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)::numeric AS timestamp,
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date_part('epoch', __cdb_start_date)::numeric AS timestamp_start,
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min(date_part('epoch', ${ctx._column}))::numeric AS min,
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max(date_part('epoch', ${ctx._column}))::numeric AS max,
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avg(date_part('epoch', ${ctx._column}))::numeric AS avg,
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count(*) AS freq
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FROM (${ctx._query}) __cdb_histogram, __cdb_basics, __cdb_bins, __cdb_nulls
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WHERE date_part('epoch', ${ctx._column}) IS NOT NULL
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GROUP BY bin, bins_number, bin_width, nulls_count, timestamp_start
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ORDER BY bin
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`;
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var TYPE = 'histogram';
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