bug-1719576-pref-fission-beta-91-experiment-beta-91-91.toml

[experiment]

segments = [
    'low_cpu', 'high_cpu',
    'mem_lte_2GB', 'mem_gt_2GB_lte_4GB', 'mem_gt_4GB_lte_6GB', 'mem_gt_6GB_lte_8GB', 'high_mem',
    'win7'
]

enrollment_period = 7
end_date = "2021-08-10"

reference_branch = "fission-disabled"

## Data Sources

[data_sources]

## main: removing session corresponding to enrollment
[data_sources.main_cleaned]
from_expression = """ (
  SELECT
    *,
    DATE(submission_timestamp) AS submission_date,
    environment.experiments
  FROM
    `moz-fx-data-shared-prod`.telemetry.main
  WHERE
    DATE(submission_timestamp) >= '2021-07-13'
    AND normalized_channel in ('beta', 'aurora')
    AND environment.system.gfx.features.compositor in ("webrender", "webrender_software", "webrender_software_d3d11")
    AND payload.info.session_id not in (
        SELECT
          session_id
        FROM
          `moz-fx-data-shared-prod.telemetry.events`
        WHERE
          event_category = 'normandy'
          AND event_method = 'enroll'
          AND submission_date >= '2021-07-13'
          AND event_string_value = 'bug-1719576-pref-fission-beta-91-experiment-beta-91-91')
          )
"""
experiments_column_type = "native"

## crash: removing session corresponding to enrollment
[data_sources.crash_cleaned]
from_expression = """
(
  SELECT
    cr.*,
    DATE(cr.submission_timestamp) AS submission_date,
    cr.environment.experiments,
    COALESCE(m.payload.processes.parent.scalars.browser_engagement_active_ticks, 0)*5 as active_s
  FROM
    `moz-fx-data-shared-prod`.telemetry.crash cr
    INNER JOIN  `moz-fx-data-shared-prod`.telemetry.main m
      ON m.client_id = cr.client_id
      AND DATE(m.submission_timestamp) = DATE(cr.submission_timestamp)
  WHERE
    DATE(cr.submission_timestamp) >= '2021-07-13'
    AND DATE(m.submission_timestamp) >= '2021-07-13'
    AND m.normalized_channel in ('beta', 'aurora')
    AND m.environment.system.gfx.features.compositor in ("webrender", "webrender_software", "webrender_software_d3d11")
    AND cr.normalized_channel in ('beta', 'aurora')
    AND cr.payload.session_id not in (
        SELECT
          session_id
        FROM
          `moz-fx-data-shared-prod.telemetry.events`
        WHERE
          event_category = 'normandy'
          AND event_method = 'enroll'
          AND submission_date >= '2021-07-13'
          AND event_string_value = 'bug-1719576-pref-fission-beta-91-experiment-beta-91-91')
    AND m.payload.info.session_id not in (
        SELECT
          session_id
        FROM
          `moz-fx-data-shared-prod.telemetry.events`
        WHERE
          event_category = 'normandy'
          AND event_method = 'enroll'
          AND submission_date >= '2021-07-13'
          AND event_string_value = 'bug-1719576-pref-fission-beta-91-experiment-beta-91-91')
    )
"""
experiments_column_type = "native"

## Metrics
[metrics]

overall = [
    'perf_page_load_time_ms', 'time_to_first_interaction_ms',
    'input_event_response_ms', 'input_event_response_ms_parent',
    'perf_first_contentful_paint_ms',
    'gpu_keypress_present_latency',
    'fx_new_window_ms', 'fx_tab_switch_composite_e10s_ms',
    'content_frame_time_vsync', 'child_process_launch_ms',
    'checkerboard_severity', 'checkerboard_severity_count_per_hour',
    'memory_total', 'memory_unique_content_startup',
    'cycle_collector_max_pause', 'cycle_collector_max_pause_content',
    'gc_max_pause_ms_2', 'gc_max_pause_ms_2_content',
    'gc_ms', 'gc_ms_content',
    'gc_slice_during_idle', 'gc_slice_during_idle_content',
    'subsession_length', 'uri_cnt',
    'active_hrs', 'max_concurrent_tab_count',
    'tab_open_event_count', 'content_process_count',
    'content_process_max', 'loaded_tab_count',
    'main_crashes_per_hour', 'content_crashes_per_hour',
    'oom_crashes_per_hour', 'content_shutdown_crashes_per_hour',
    'shutdown_hangs_per_hour', 'crash_tab_ui_presented',
    'crash_subframe_ui_presented'
]

weekly = [
    'perf_page_load_time_ms', 'time_to_first_interaction_ms',
    'input_event_response_ms', 'input_event_response_ms_parent',
    'perf_first_contentful_paint_ms',
    'gpu_keypress_present_latency',
    'fx_new_window_ms', 'fx_tab_switch_composite_e10s_ms',
    'content_frame_time_vsync', 'child_process_launch_ms',
    'checkerboard_severity', 'checkerboard_severity_count_per_hour',
    'memory_total', 'memory_unique_content_startup',
    'cycle_collector_max_pause', 'cycle_collector_max_pause_content',
    'gc_max_pause_ms_2', 'gc_max_pause_ms_2_content',
    'gc_ms', 'gc_ms_content',
    'gc_slice_during_idle', 'gc_slice_during_idle_content',
    'subsession_length', 'uri_cnt',
    'active_hrs', 'max_concurrent_tab_count',
    'tab_open_event_count', 'content_process_count',
    'content_process_max', 'loaded_tab_count',
    'main_crashes_per_hour', 'content_crashes_per_hour',
    'oom_crashes_per_hour', 'content_shutdown_crashes_per_hour',
    'shutdown_hangs_per_hour', 'crash_tab_ui_presented',
    'crash_subframe_ui_presented'
]

daily = [
]

## Performance
    [metrics.perf_page_load_time_ms]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.perf_page_load_time_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.perf_page_load_time_ms.statistics.bootstrap_mean]
#        [pre_treatments = ["remove_nulls"]

        [metrics.perf_page_load_time_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.perf_page_load_time_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.perf_page_load_time_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.time_to_first_interaction_ms]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.time_to_first_interaction_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.time_to_first_interaction_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.time_to_first_interaction_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.time_to_first_interaction_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.time_to_first_interaction_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.input_event_response_ms]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.input_event_response_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.input_event_response_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.input_event_response_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.input_event_response_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.input_event_response_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.input_event_response_ms_parent]
    select_expression = '{{agg_histogram_mean("payload.histograms.input_event_response_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.input_event_response_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.input_event_response_ms_parent.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.input_event_response_ms_parent.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.input_event_response_ms_parent.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.perf_first_contentful_paint_ms]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.perf_first_contentful_paint_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.perf_first_contentful_paint_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.perf_first_contentful_paint_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.perf_first_contentful_paint_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.perf_first_contentful_paint_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true


    [metrics.gpu_keypress_present_latency]
    select_expression = '{{agg_histogram_mean("payload.processes.gpu.histograms.keypress_present_latency")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gpu_keypress_present_latency.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gpu_keypress_present_latency.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gpu_keypress_present_latency.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gpu_keypress_present_latency.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true


    [metrics.fx_new_window_ms]
    select_expression = '{{agg_histogram_mean("payload.histograms.fx_new_window_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.fx_new_window_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.fx_new_window_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.fx_new_window_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.fx_new_window_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.fx_tab_switch_composite_e10s_ms]
    select_expression = '{{agg_histogram_mean("payload.histograms.fx_tab_switch_composite_e10s_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.fx_tab_switch_composite_e10s_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.fx_tab_switch_composite_e10s_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.fx_tab_switch_composite_e10s_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.fx_tab_switch_composite_e10s_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.content_frame_time_vsync]
    select_expression = '{{agg_histogram_mean("payload.histograms.content_frame_time_vsync")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.content_frame_time_vsync.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.content_frame_time_vsync.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.content_frame_time_vsync.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.content_frame_time_vsync.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.child_process_launch_ms]
    select_expression = '{{agg_histogram_mean("payload.histograms.child_process_launch_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.child_process_launch_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.child_process_launch_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.child_process_launch_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.child_process_launch_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.checkerboard_severity]
    select_expression = '{{agg_histogram_mean("payload.processes.gpu.histograms.checkerboard_severity")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.checkerboard_severity.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.checkerboard_severity.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.checkerboard_severity.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.checkerboard_severity.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.checkerboard_severity_count_per_hour]
    select_expression = """SAFE_DIVIDE(
                                SUM(COALESCE((SELECT SUM(value) FROM UNNEST(mozfun.hist.extract(payload.processes.gpu.histograms.checkerboard_severity).values)), 0)),
                                SUM(COALESCE(payload.processes.parent.scalars.browser_engagement_active_ticks, 0))*5/3600
                                )
                                """
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.checkerboard_severity_count_per_hour.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.checkerboard_severity_count_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.checkerboard_severity_count_per_hour.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.checkerboard_severity_count_per_hour.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

## Memory
    [metrics.memory_total]
    select_expression = '{{agg_histogram_mean("payload.histograms.memory_total")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.memory_total.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.memory_total.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.memory_total.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.memory_total.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.memory_unique_content_startup]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.memory_unique_content_startup")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.memory_unique_content_startup.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.memory_unique_content_startup.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.memory_unique_content_startup.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.memory_unique_content_startup.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.cycle_collector_max_pause]
    select_expression = '{{agg_histogram_mean("payload.histograms.cycle_collector_max_pause")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.cycle_collector_max_pause.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.cycle_collector_max_pause.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.cycle_collector_max_pause.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.cycle_collector_max_pause.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.cycle_collector_max_pause_content]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.cycle_collector_max_pause")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.cycle_collector_max_pause_content.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.cycle_collector_max_pause_content.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.cycle_collector_max_pause_content.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.cycle_collector_max_pause_content.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.gc_max_pause_ms_2]
    select_expression = '{{agg_histogram_mean("payload.histograms.gc_max_pause_ms_2")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_max_pause_ms_2.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_max_pause_ms_2.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_max_pause_ms_2.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_max_pause_ms_2.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.gc_max_pause_ms_2_content]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.cycle_collector_max_pause")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_max_pause_ms_2_content.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_max_pause_ms_2_content.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_max_pause_ms_2_content.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_max_pause_ms_2_content.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

   [metrics.gc_ms]
    select_expression = '{{agg_histogram_mean("payload.histograms.gc_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_ms.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_ms.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_ms.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_ms.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.gc_ms_content]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.gc_ms")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_ms_content.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_ms_content.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_ms_content.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_ms_content.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.gc_slice_during_idle]
    select_expression = '{{agg_histogram_mean("payload.histograms.gc_slice_during_idle")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_slice_during_idle.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_slice_during_idle.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_slice_during_idle.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_slice_during_idle.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

    [metrics.gc_slice_during_idle_content]
    select_expression = '{{agg_histogram_mean("payload.processes.content.histograms.gc_slice_during_idle")}}'
    data_source = 'main_cleaned'
    bigger_is_better = false

#        [metrics.gc_slice_during_idle_content.statistics.bootstrap_mean]
#        pre_treatments = ["remove_nulls"]

        [metrics.gc_slice_during_idle_content.statistics.deciles]
        pre_treatments = ["remove_nulls"]

        [metrics.gc_slice_during_idle_content.statistics.kernel_density_estimate]
        pre_treatments = ["remove_nulls"]
        log_space = true

        [metrics.gc_slice_during_idle_content.statistics.empirical_cdf]
        pre_treatments = ["remove_nulls"]
        log_space = true

## Engagement
    [metrics.subsession_length]
    select_expression = 'SUM(COALESCE(payload.info.subsession_length, 0)/3600)'
    data_source = 'main_cleaned'
        [metrics.subsession_length.statistics.bootstrap_mean]
        [metrics.subsession_length.statistics.deciles]

    [metrics.active_hrs]
    select_expression = 'SUM(COALESCE(payload.processes.parent.scalars.browser_engagement_active_ticks, 0)*5/3600)'
    data_source = 'main_cleaned'
        [metrics.active_hrs.statistics.bootstrap_mean]
        [metrics.active_hrs.statistics.deciles]

    [metrics.uri_cnt]
    select_expression = 'SUM(COALESCE(payload.processes.parent.scalars.browser_engagement_total_uri_count, 0))'
    data_source = 'main_cleaned'
        [metrics.uri_cnt.statistics.bootstrap_mean]
        [metrics.uri_cnt.statistics.deciles]

    [metrics.max_concurrent_tab_count]
    select_expression = 'AVG(COALESCE(payload.processes.parent.scalars.browser_engagement_max_concurrent_tab_count, 0))'
    data_source = 'main_cleaned'
        [metrics.max_concurrent_tab_count.statistics.bootstrap_mean]
        [metrics.max_concurrent_tab_count.statistics.deciles]

    [metrics.tab_open_event_count]
    select_expression = 'SUM(COALESCE(payload.processes.parent.scalars.browser_engagement_tab_open_event_count, 0))'
    data_source = 'main_cleaned'
        [metrics.tab_open_event_count.statistics.bootstrap_mean]
        [metrics.tab_open_event_count.statistics.deciles]

   [metrics.content_process_count]
    select_expression = '{{agg_histogram_mean("payload.histograms.content_process_count")}}'
    data_source = 'main_cleaned'
        [metrics.content_process_count.statistics.bootstrap_mean]
        [metrics.content_process_count.statistics.deciles]

   [metrics.content_process_max]
    select_expression = 'MAX(COALESCE(`moz-fx-data-shared-prod`.udf.histogram_max_key_with_nonzero_value(payload.histograms.content_process_max), 0))'
    data_source = 'main_cleaned'
        [metrics.content_process_max.statistics.bootstrap_mean]
        [metrics.content_process_max.statistics.deciles]

   [metrics.loaded_tab_count]
    select_expression = '{{agg_histogram_mean("payload.histograms.loaded_tab_count")}}'
    data_source = 'main_cleaned'
        [metrics.loaded_tab_count.statistics.bootstrap_mean]
        [metrics.loaded_tab_count.statistics.deciles]

## Crashes
    [metrics.main_crashes_per_hour]
    select_expression = """
        SAFE_DIVIDE(
            COALESCE(SUM(IF(payload.process_type = 'main' OR payload.process_type IS NULL, 1, 0)), 0),
            SUM(active_s/3600)
         )
        """
    data_source = 'crash_cleaned'
    bigger_is_better = false

        [metrics.main_crashes_per_hour.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.main_crashes_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

#        [metrics.main_crashes_per_hour.statistics.kernel_density_estimate]
#        pre_treatments = ["remove_nulls"]
#        log_space = true
#
#        [metrics.main_crashes_per_hour.statistics.empirical_cdf]
#        pre_treatments = ["remove_nulls"]
#        log_space = true

    [metrics.content_crashes_per_hour]
    select_expression = """
        SAFE_DIVIDE(
            COALESCE(SUM(IF(REGEXP_CONTAINS(payload.process_type, 'content')
                AND NOT REGEXP_CONTAINS(COALESCE(payload.metadata.ipc_channel_error, ''), 'ShutDownKill'), 1,0)), 0),
            SUM(active_s/3600)
         )
        """
    data_source = 'crash_cleaned'
    bigger_is_better = false

        [metrics.content_crashes_per_hour.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.content_crashes_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

#        [metrics.content_crashes_per_hour.statistics.kernel_density_estimate]
#        pre_treatments = ["remove_nulls"]
#        log_space = true
#
#        [metrics.content_crashes_per_hour.statistics.empirical_cdf]
#        pre_treatments = ["remove_nulls"]
#        log_space = true

    [metrics.oom_crashes_per_hour]
    select_expression = """
        SAFE_DIVIDE(
            COALESCE(SUM(IF(payload.metadata.oom_allocation_size IS NOT NULL, 1, 0)), 0),
            SUM(active_s/3600)
         )
        """
    data_source = 'crash_cleaned'
    bigger_is_better = false

        [metrics.oom_crashes_per_hour.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.oom_crashes_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

#        [metrics.oom_crashes_per_hour.statistics.kernel_density_estimate]
#        pre_treatments = ["remove_nulls"]
#        log_space = true
#
#        [metrics.oom_crashes_per_hour.statistics.empirical_cdf]
#        pre_treatments = ["remove_nulls"]
#        log_space = true

    [metrics.content_shutdown_crashes_per_hour]
    select_expression = """
        SAFE_DIVIDE(
            SUM(
                COALESCE(IF(REGEXP_CONTAINS(payload.process_type, 'content')
                AND REGEXP_CONTAINS(payload.metadata.ipc_channel_error, 'ShutDownKill'), 1, 0), 0)
                ),
            SUM(active_s/3600)
         )
        """
    data_source = 'crash_cleaned'
    bigger_is_better = false

        [metrics.content_shutdown_crashes_per_hour.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.content_shutdown_crashes_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

#        [metrics.content_shutdown_crashes_per_hour.statistics.kernel_density_estimate]
#        pre_treatments = ["remove_nulls"]
#        log_space = true
#
#        [metrics.content_shutdown_crashes_per_hour.statistics.empirical_cdf]
#        pre_treatments = ["remove_nulls"]
#        log_space = true

    [metrics.shutdown_hangs_per_hour]
    select_expression = """
        SAFE_DIVIDE(
            COALESCE(SUM(IF(payload.metadata.moz_crash_reason LIKE 'MOZ_CRASH%', 1, 0)), 0),
            SUM(active_s/3600)
         )
        """
    data_source = 'crash_cleaned'
    bigger_is_better = false

        [metrics.shutdown_hangs_per_hour.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.shutdown_hangs_per_hour.statistics.deciles]
        pre_treatments = ["remove_nulls"]

#        [metrics.shutdown_crashes_per_hour.statistics.kernel_density_estimate]
#        pre_treatments = ["remove_nulls"]
#        log_space = true
#
#        [metrics.shutdown_crashes_per_hour.statistics.empirical_cdf]
#        pre_treatments = ["remove_nulls"]
#        log_space = true

    [metrics.crash_tab_ui_presented]
    select_expression = """SUM(COALESCE(payload.processes.parent.scalars.dom_contentprocess_crash_tab_ui_presented, 0))"""
    data_source = 'main_cleaned'
    bigger_is_better = false

        [metrics.crash_tab_ui_presented.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.crash_tab_ui_presented.statistics.deciles]
        pre_treatments = ["remove_nulls"]

    [metrics.crash_subframe_ui_presented]
    select_expression = """SUM(COALESCE(payload.processes.parent.scalars.dom_contentprocess_crash_subframe_ui_presented, 0))"""
    data_source = 'main_cleaned'
    bigger_is_better = false

        [metrics.crash_subframe_ui_presented.statistics.bootstrap_mean]
        pre_treatments = ["remove_nulls"]

        [metrics.crash_subframe_ui_presented.statistics.deciles]
        pre_treatments = ["remove_nulls"]


## Segments
[segments]

[segments.low_cpu]
select_expression = 'COALESCE(MAX(cpu_count) BETWEEN 1 AND 2, FALSE)'
data_source = "clients_last_seen"

#[segments.med_cpu]
#select_expression = 'COALESCE(MAX(cpu_count) BETWEEN 3 AND 5, FALSE)'
#data_source = "clients_last_seen"

[segments.high_cpu]
select_expression = 'COALESCE(MAX(cpu_count) >= 6, FALSE)'
data_source = "clients_last_seen"

[segments.mem_lte_2GB]
select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 1 AND 2047, FALSE)'
data_source = "clients_last_seen"

[segments.mem_gt_2GB_lte_4GB]
select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 2048 AND 4095, FALSE)'
data_source = "clients_last_seen"

[segments.mem_gt_4GB_lte_6GB]
select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 4096 AND 6143, FALSE)'
data_source = "clients_last_seen"

[segments.mem_gt_6GB_lte_8GB]
select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 6144 AND 8191, FALSE)'
data_source = "clients_last_seen"

#[segments.low_mem]
#select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 1 AND 4095, FALSE)'
#data_source = "clients_last_seen"

#[segments.med_mem]
#select_expression = 'COALESCE(MAX(memory_mb) BETWEEN 4096 AND 8191, FALSE)'
#data_source = "clients_last_seen"

[segments.high_mem]
select_expression = 'COALESCE(MAX(memory_mb) >= 8192, FALSE)'
data_source = "clients_last_seen"

[segments.win7]
select_expression = """COALESCE(LOGICAL_OR(os='Windows_NT' and normalized_os_version = '6.1'), FALSE)"""
data_source = "clients_last_seen"