SELECT
cu.user_id,
cu.gender,
CASE WHEN cu.looking_for_gender = cu.gender THEN 1 ELSE 0 END AS
sexual_orientation,
os_name,
ROUND((DATE(NOW()) - cu.birthdate)/365.25) AS user_age,
SUM(dsb.likes) AS likes,
SUM(dsb.dislikes) AS dislikes,
SUM(dsb.blocks) AS blocks,
SUM(dsb.matches) AS matches,
SUM(dsb.received_likes) AS received_likes,
SUM(dsb.received_dislikes) AS received_dislikes,
SUM(dsb.received_blocks) AS received_blocks,
CASE WHEN cu.status = 'default' THEN 1 ELSE 0 END AS recall_case,
CASE WHEN cu.status = 'default' THEN extract(epoch from
cu.last_activity - cu.updated_time)/86400 ELSE 0 END AS
recall_retention
FROM ( SELECT stats.core_users cu
LEFT JOIN yay.daily_swipes_by_users dsb ON (dsb.user_id = cu.user_id)
WHERE cu.user_id = '1' GROUP BY 1) e1
LEFT JOIN LATERAL (SELECT cd.os_name FROM stats.core_devices cd WHERE
e1.user_id = cd.user_id ORDER BY cd.updated_time DESC LIMIT 1) e2
ON TRUE;
当前错误代码: 错误:“LEFT”处或附近的语法错误 第18行:LEFT JOIN yay.daily_swipes_by_users dsb ON(dsb.user_id = cu ... ^
答案 0 :(得分:0)
提供的查询会在很多方面失败,我希望以下内容可能会有效,但正如您所看到的,这会在流程中删除大量其他列
SELECT
e1.user_id
, e1.cu
, e2.os_name
FROM (
SELECT stats.core_users cu, cu.user_id
LEFT JOIN yay.daily_swipes_by_users dsb ON (dsb.user_id = cu.user_id)
WHERE cu.user_id = '1'
GROUP BY stats.core_users cu, cu.user_id
) e1
LEFT JOIN LATERAL(
SELECT cd.os_name
FROM stats.core_devices cd
WHERE e1.user_id = cd.user_id
ORDER BY cd.updated_time DESC
LIMIT 1) e2 ON TRUE
;
答案 1 :(得分:0)
SELECT
cu.user_id,
cu.gender,
CASE WHEN cu.looking_for_gender = cu.gender THEN 1 ELSE 0 END AS sexual_orientation,
e2.os_name,
ROUND((DATE(NOW()) - cu.birthdate)/365.25) AS user_age,
CASE WHEN cu.status = 'default' THEN 1 ELSE 0 END AS recall_case,
CASE WHEN cu.status = 'default' THEN extract(epoch from cu.last_activity - cu.updated_time)/86400 ELSE 0 END AS recall_retention,
SUM(dsb.likes) AS likes,
SUM(dsb.dislikes) AS dislikes,
SUM(dsb.blocks) AS blocks,
SUM(dsb.matches) AS matches,
SUM(dsb.received_likes) AS received_likes,
SUM(dsb.received_dislikes) AS received_dislikes,
SUM(dsb.received_blocks) AS received_blocks
FROM
stats.core_users cu
LEFT JOIN yay.daily_swipes_by_users dsb ON (dsb.user_id = cu.user_id)
LEFT JOIN LATERAL (SELECT cd.os_name FROM stats.core_devices cd WHERE cu.user_id = cd.user_id ORDER BY cd.updated_time DESC LIMIT 1) e2
ON TRUE
WHERE cu.user_id = '1'
GROUP BY 1,2,3,4,5,6,7
;
这很有效。