hackernews_dashboard_ask_and_show_by_hourhackernews_dashboard_ask_counthackernews_dashboard_avg_ask_scorehackernews_dashboard_avg_scorehackernews_dashboard_avg_show_scorehackernews_dashboard_max_scorehackernews_dashboard_mentionshackernews_dashboard_show_counthackernews_dashboard_stories_by_hourhackernews_dashboard_user_with_greater_than_50_scorehackernews_dashboard_user_with_greater_than_5_posthackernews_jobs_by_dayshackernews_jobs_by_technologyhackernews_jobs_by_typehackernews_jobs_searchhackernews_sources_detailhackernews_sources_domain_inputhackernews_sources_domainshackernews_sources_top_10_domains_by_counthackernews_sources_top_10_domains_by_max_scorehackernews_stories_avg_commentshackernews_stories_detailshackernews_stories_max_comments
Query: hackernews_stories_avg_comments
Usage
powerpipe query hackernews_insights.query.hackernews_stories_avg_commentsSteampipe Tables
SQL
with stories as ( select * from hackernews_new where $1 = 'New' union select * from hackernews_top where $1 = 'Top' union select * from hackernews_best where $1 = 'Best')select round(avg(descendants), 1) as "Avg Comments" from hackernews_new
Params
| Args | Name | Default | Description | Variable |
|---|---|---|---|---|
| $1 | story_type |
Dashboards
The query is used in the dashboards: