我有一个像
这样的查询SELECT
`campaign_question_options`.`text`,
COUNT(`campaign_submission_answers`.`answer`) as `count`
FROM `campaign_questions`
INNER JOIN `campaign_question_options` ON `campaign_question_options`.`campaign_question_id` = `campaign_questions`.`id`
LEFT JOIN `campaign_submission_answers` ON `campaign_submission_answers`.`answer` = `campaign_question_options`.`text` AND `campaign_submission_answers`.`campaign_question_id` = 1
LEFT JOIN `campaign_submissions` ON `campaign_submissions`.`id` = `campaign_submission_answers`.`campaign_submission_id`
LEFT JOIN `participants` ON `participants`.`id` = `campaign_submissions`.`participant_id`
WHERE
`campaign_questions`.`id` = 1
GROUP BY `campaign_submission_answers`.`answer`
ORDER BY `campaign_question_options`.`index`;
这给了我一个像
这样的结果集+--------------+-------+
| text | count |
+--------------+-------+
| 1 (positive) | 114 |
| 2 | 48 |
| 3 (neutral) | 34 |
| 4 | 6 |
| 5 (negative) | 0 |
+--------------+-------+
所以问题是我需要在participants
。appraisee_id
列上进一步过滤结果。但是,如果我将其添加到where子句,则会丢失零结果(因为左连接返回空行)。
SELECT
`campaign_question_options`.`text`,
COUNT(`campaign_submission_answers`.`answer`) as `count`
FROM `campaign_questions`
INNER JOIN `campaign_question_options` ON `campaign_question_options`.`campaign_question_id` = `campaign_questions`.`id`
LEFT JOIN `campaign_submission_answers` ON `campaign_submission_answers`.`answer` = `campaign_question_options`.`text` AND `campaign_submission_answers`.`campaign_question_id` = 1
LEFT JOIN `campaign_submissions` ON `campaign_submissions`.`id` = `campaign_submission_answers`.`campaign_submission_id`
LEFT JOIN `participants` ON `participants`.`id` = `campaign_submissions`.`participant_id`
WHERE
`campaign_questions`.`id` = 1 AND `participants`.`appraisee_id` = 1
GROUP BY `campaign_submission_answers`.`answer`
ORDER BY `campaign_question_options`.`index`;
返回
+--------------+-------+
| text | count |
+--------------+-------+
| 1 (positive) | 16 |
| 2 | 1 |
+--------------+-------+
实际上我希望
+--------------+-------+
| text | count |
+--------------+-------+
| 1 (positive) | 16 |
| 2 | 1 |
| 3 (neutral) | 0 |
| 4 | 0 |
| 5 (negative) | 0 |
+--------------+-------+
有人可以帮我改进这个查询吗?
由于
更新
我已经创建了一个结构的数据库转储,如果有任何人希望继续帮助我,这可能很有用。 https://gist.github.com/simonbowen/a8316fe91c78b8464402
答案 0 :(得分:1)
当你有left join
并希望过滤除第一个表之外的任何表时,你需要将条件放在on
子句中:
SELECT cqo.`text`,
COUNT(csa.`answer`) as `count`
FROM `campaign_questions` cq INNER JOIN
`campaign_question_options` cqo
ON cqo.`campaign_question_id` = cq.`id` LEFT JOIN
`campaign_submission_answers` csa
ON csa.`answer` = cqo.`text` AND csa.`campaign_question_id` = 1 LEFT JOIN
`campaign_submissions` cs
ON cs.`id` = csa.`campaign_submission_id LEFT JOIN
`participants` p
ON p.`id` = cs.`participant_id` AND
p. appraisee_id = XXX
WHERE cq.`id` = 1
GROUP BY csa.`answer`
ORDER BY cqo.`index`;
我还添加了表别名。它们使查询更容易编写和阅读。
答案 1 :(得分:0)
添加另一张支票participants
。appraisee_id
为NULL
:
WHERE `campaign_questions`.`id` = 1
AND (`participants`.`appraisee_id` = 1
OR `participants`.`appraisee_id` IS NULL)
答案 2 :(得分:0)
关于这个问题的更新,我尝试从不同的角度尝试此查询。它似乎输出了我期望的结果,但是我不确定它是否是最有效的方式,因为我必须使用子查询。
SELECT `campaign_question_options`.`text`, COUNT(`csa`.`answer`) FROM `campaign_questions`
INNER JOIN `campaign_question_options` ON `campaign_question_options`.`campaign_question_id` = `campaign_questions`.`id`
LEFT JOIN (
SELECT `campaign_submission_answers`.* FROM `campaign_submission_answers`
INNER JOIN `campaign_submissions` ON `campaign_submissions`.`id` = `campaign_submission_answers`.`campaign_submission_id`
INNER JOIN `participants` ON `participants`.`id` = `campaign_submissions`.`participant_id`
INNER JOIN `campaign_questions` ON `campaign_questions`.`id` = `campaign_submission_answers`.`campaign_question_id`
INNER JOIN `campaign_question_options` ON `campaign_question_options`.`text` = `campaign_submission_answers`.`answer`
WHERE `campaign_submissions`.`campaign_id` = 1 AND `participants`.`appraisee_id` = 1 AND `campaign_submission_answers`.`campaign_question_id` = 1
GROUP BY `campaign_submission_answers`.`id`
) as `csa` ON `csa`.`answer` = `campaign_question_options`.`text`
WHERE `campaign_questions`.`id` = 1
GROUP BY `campaign_question_options`.`text`;