Class: RailsPulse::Queries::Cards::PercentileQueryTimes

Inherits:
Cards::Base
  • Object
show all
Defined in:
app/models/rails_pulse/queries/cards/percentile_query_times.rb

Instance Method Summary collapse

Constructor Details

#initialize(query: nil, disabled_tags: [], show_non_tagged: true, period: 7, period_type: "day") ⇒ PercentileQueryTimes

Returns a new instance of PercentileQueryTimes.



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# File 'app/models/rails_pulse/queries/cards/percentile_query_times.rb', line 5

def initialize(query: nil, disabled_tags: [], show_non_tagged: true, period: 7, period_type: "day")
  @query = query
  @disabled_tags = disabled_tags
  @show_non_tagged = show_non_tagged
  @period = period
  @period_type = period_type
end

Instance Method Details

#to_metric_card ⇒ Object 



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# File 'app/models/rails_pulse/queries/cards/percentile_query_times.rb', line 13

def to_metric_card
  # Use base class helper for query construction
  base_query = base_summary_query("RailsPulse::Query")

  metrics = base_query.select(
    "SUM(p95_duration * count) / NULLIF(SUM(count), 0) AS overall_p95",
    "SUM(count) AS total_count",
    "SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN p95_duration * count ELSE 0 END) / NULLIF(SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN count ELSE 0 END), 0) AS current_p95",
    "SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} THEN p95_duration * count ELSE 0 END) / NULLIF(SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} THEN count ELSE 0 END), 0) AS previous_p95"
  ).take

  # Calculate metrics from single query result
  p95_query_time = (metrics.overall_p95 || 0).round(0)
  current_period_p95 = metrics.current_p95 || 0
  previous_period_p95 = metrics.previous_p95 || 0

  # Use base class trend calculation
  trend_icon, trend_amount = trend_for(current_period_p95, previous_period_p95) if show_trend?

  # Create a query for sparkline data using only the current period
  sparkline_query = RailsPulse::Summary
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: "RailsPulse::Query",
      period_type: @period_type,
      period_start: current_window_start..now
    )
  sparkline_query = sparkline_query.where(summarizable_id: @query.id) if @query

  if period_type_hours?
    weighted_sums = sparkline_query.group_by_hour(:period_start).sum("p95_duration * count")
    period_counts = sparkline_query.group_by_hour(:period_start).sum(:count)
  else
    weighted_sums = sparkline_query.group_by_date(:period_start).sum("p95_duration * count")
    period_counts = sparkline_query.group_by_date(:period_start).sum(:count)
  end

  # Calculate weighted averages for each period
  averages_by_period = weighted_sums.each_with_object({}) do |(period, weighted), hash|
    count = period_counts[period].to_i
    hash[period] = count > 0 ? (weighted.to_f / count).round(0) : 0
  end

  # Use base class sparkline generation (handles hour vs day automatically)
  sparkline_data = sparkline_from(averages_by_period)

  {
    id: "percentile_query_times",
    chart_color: RailsPulse::ChartColors::P95,
    context: "queries",
    title: "P95 Query Time",
    summary: format_duration(p95_query_time),
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: (show_trend? ? comparison_period_text : nil),
    period_stat: metrics.total_count.to_i > 0 ? "Across #{format_number(metrics.total_count.to_i)} queries" : period_date_range,
    help_heading: "P95 Query Time",
    help_text: "The 95th percentile database query duration — 95% of queries complete faster than this. Weighted by execution frequency across all queries. Slow queries are often caused by missing indexes or N+1 patterns."
  }
end