SELECT date(create_time) date, count(distinct device_id) FROM event_logs where event_id='home_page_view' GROUP BY date order by date desc union SELECT date(create_time) date, count(device_id) FROM event_logs where event_id='home_page_view' GROUP BY date order by date desc

SELECT DISTINCT el.device_id, DATE(el.create_time) date, CASE WHEN el.platform IN ('') THEN 'null' ELSE 'unknown' END AS platform_div, CASE WHEN el.event_id='home_page_view' THEN 1 ELSE 0，caseWHEN ud.country ='' THEN 'unknown' ELSE 'developing_country' END AS country_div FROM event_logs el JOIN user_devices ud ON el.device_id = ud.device_id我要如何在查询结果中加入每个device_id使用过的次数

WITH install AS ( SELECT el.user_id, el.create_time FROM event_logs el WHERE el.event_id = 'onboarding_login_view' AND el.referrer = 'plugin_installed' ) --first_usage_after_installed AS ( SELECT i.user_id, i.create_time, COALESCE(min(cr.event_time), toDateTime('1970-01-01 00:00:00')) AS first_event_time FROM install i LEFT JOIN chat_records cr ON i.user_id = cr.user_id WHERE cr.event_time > i.create_time GROUP BY i.user_id, i.create_time帮我修改代码，我要展现出用户安装后第一次使用的功能，即使没有使用也要

Table: ActivityColumn NameTypeplayer_idintdevice_idintevent_datedategames_playedint(player_id, event_date) is the primary key of this table.This table shows the activity of players of some game. Each row is a record of a player who logged in and played a number of games (possibly 0) before logging out on some day using some device.Write a SQL query that reports the device that is first logged in for each player.The query result format is in the following example:Activity table:player_iddevice_idevent_idgames_played122016-03-015122016-05-026232017-06-251312016-03-020342018-07-035Result table:player_iddevice_id122331Optionsselect player_id, device_idfrom Activitywhere (player_id, event_date) in (select player_id, min(event_date)group by player_id);select player_id, device_idfrom Activity (player_id, event_date) in ( select player_id, min(event_date) from Activity group by player_id);select player_id, device_idfrom Activitywhere (player_id, event_date) in ( select player_id, min(event_date) from Activity group by player_id);select device_idfrom Activity where (player_id, event_date) in (select player_id, min(event_date)from Activity group by player_id);

Given a table bugs(id, token, title, category, device, reported_at, created_at, updated_at), find how many bugs were created on 2019-03-01 or later. Your query should output a table with the following columns (count).

Game Play Analysis IITable: ActivityColumn NameTypeplayer_idintdevice_idintevent_datedategames_playedint(player_id, event_date) is the primary key of this table.This table shows the activity of players of some game. Each row is a record of a player who logged in and played a number of games (possibly 0) before logging out on some day using some device.Write a SQL query that reports the device that is first logged in for each player.The query result format is in the following example:Activity table:player_iddevice_idevent_idgames_played122016-03-015122016-05-026232017-06-251312016-03-020342018-07-035Result table:player_iddevice_id122331Optionsselect device_idfrom Activity where (player_id, event_date) in (select player_id, min(event_date)from Activity group by player_id);select player_id, device_idfrom Activitywhere (player_id, event_date) in (select player_id, min(event_date)group by player_id);select player_id, device_idfrom Activity (player_id, event_date) in ( select player_id, min(event_date) from Activity group by player_id);select player_id, device_idfrom Activitywhere (player_id, event_date) in ( select player_id, min(event_date) from Activity group by player_id);Finish