Class: RailsPulse::Queries::Cards::DatabaseLoad

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

Instance Method Summary collapse

Constructor Details

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

Returns a new instance of DatabaseLoad.



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

def initialize(disabled_tags: [], show_non_tagged: true, period: 7, period_type: "day")
  @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/database_load.rb', line 12

def to_metric_card
  # Use base class time period helpers
  last_n_units = current_window_start
  previous_n_units = range_start

  # Get query summaries (DB time) - use base class helper pattern
  query_summaries = RailsPulse::Summary
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: "RailsPulse::Query",
      period_type: @period_type,
      period_start: previous_n_units..now
    )

  # Get route summaries (total request time)
  route_summaries = RailsPulse::Summary
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: "RailsPulse::Route",
      period_type: @period_type,
      period_start: previous_n_units..now
    )

  # Calculate totals
  total_query_time = query_summaries.sum(:total_duration)
  total_request_time = route_summaries.sum(:total_duration)

  has_data = total_request_time > 0

  overall_db_percentage = has_data ? (total_query_time.to_f / total_request_time * 100).round(1) : 0

  # Calculate current and previous period percentages using base class quote helper
  current_query_time = query_summaries.where("period_start >= ?", last_n_units).sum(:total_duration)
  current_request_time = route_summaries.where("period_start >= ?", last_n_units).sum(:total_duration)
  current_percentage = current_request_time > 0 ? (current_query_time.to_f / current_request_time * 100) : 0

  if show_trend?
    previous_query_time = query_summaries.where("period_start >= ? AND period_start < ?", previous_n_units, last_n_units).sum(:total_duration)
    previous_request_time = route_summaries.where("period_start >= ? AND period_start < ?", previous_n_units, last_n_units).sum(:total_duration)
    previous_percentage = previous_request_time > 0 ? (previous_query_time.to_f / previous_request_time * 100) : 0

    if has_data
      percentage = previous_percentage.zero? ? 0 : ((current_percentage - previous_percentage) / previous_percentage * 100).abs.round(1)
      # For DB load, trending UP is bad (more time in DB), trending DOWN is good
      trend_icon = percentage < 0.1 ? "move-right" : current_percentage > previous_percentage ? "trending-up" : "trending-down"
      trend_amount = previous_percentage.zero? ? "0%" : "#{percentage}%"
    else
      trend_icon = "move-right"
      trend_amount = "—"
    end
  end

  # Sparkline data - group by hour or day depending on period_type
  if period_type_hours?
    start_time = current_window_start
    end_time = now.beginning_of_hour

    # Create separate queries for sparkline data using only the current period
    sparkline_query_summaries = RailsPulse::Summary
      .with_tag_filters(@disabled_tags, @show_non_tagged)
      .where(
        summarizable_type: "RailsPulse::Query",
        period_type: @period_type,
        period_start: start_time..end_time
      )

    sparkline_route_summaries = RailsPulse::Summary
      .with_tag_filters(@disabled_tags, @show_non_tagged)
      .where(
        summarizable_type: "RailsPulse::Route",
        period_type: @period_type,
        period_start: start_time..end_time
      )

    # Group by hour
    hourly_query_time = sparkline_query_summaries.group_by { |s| s.period_start }
      .transform_values { |summaries| summaries.sum { |s| s.total_duration || 0 } }

    hourly_request_time = sparkline_route_summaries.group_by { |s| s.period_start }
      .transform_values { |summaries| summaries.sum { |s| s.total_duration || 0 } }

    sparkline_data = {}
    current_time = start_time
    while current_time <= end_time
      query_time = hourly_query_time[current_time] || 0
      request_time = hourly_request_time[current_time] || 0
      percentage = request_time > 0 ? (query_time.to_f / request_time * 100).round(1) : 0

      # Color based on threshold
      color = if percentage < 25
        "rgb(34, 197, 94)"  # green
      elsif percentage < 40
        "rgb(234, 179, 8)"  # yellow
      else
        "rgb(239, 68, 68)"  # red
      end

      # Use timestamp in milliseconds as key to preserve uniqueness
      sparkline_data[current_time.to_i * 1000] = {
        value: percentage,
        itemStyle: { color: color }
      }
      current_time += 1.hour
    end
  else
    start_day = current_window_start.to_date
    end_day = now.to_date

    # Group by day
    daily_query_time = query_summaries.group_by { |s| s.period_start.to_date }
      .transform_values { |summaries| summaries.sum { |s| s.total_duration || 0 } }

    daily_request_time = route_summaries.group_by { |s| s.period_start.to_date }
      .transform_values { |summaries| summaries.sum { |s| s.total_duration || 0 } }

    sparkline_data = {}
    (start_day..end_day).each do |day|
      query_time = daily_query_time[day] || 0
      request_time = daily_request_time[day] || 0
      percentage = request_time > 0 ? (query_time.to_f / request_time * 100).round(1) : 0

      # Color based on threshold
      color = if percentage < 25
        "rgb(34, 197, 94)"  # green
      elsif percentage < 40
        "rgb(234, 179, 8)"  # yellow
      else
        "rgb(239, 68, 68)"  # red
      end

      label = day.strftime("%b %-d")
      sparkline_data[label] = {
        value: percentage,
        itemStyle: { color: color }
      }
    end
  end

  {
    id: "database_load",
    context: "queries",
    title: "Database Load",
    summary: has_data ? format_percentage(overall_db_percentage) : "—",
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: (show_trend? ? comparison_period_text : nil),
    period_stat: period_date_range,
    help_heading: "Database Load",
    help_text: "Percentage of total response time spent executing database queries. <25% is healthy (Ruby/views are the bottleneck, as expected). >40% means your database is your bottleneck — focus on query optimization, indexes, and N+1 elimination."
  }
end