我很难搞清楚如何在一栏里写一篇文章
event_name where match_id = 1
并将该条目应用于由visit_id和pattern_id分区的新列中的每个记录。
我现在拥有的是:
| Visit_ID | event_label | product_list_name | event_name | match_id | pattern_id | SKU |
|--------------------|--------------|-------------------|------------|----------|------------|--------|
| 154892456600012589 | California | banner-101-s | Search | 1 | 1 | (null) |
| 154892456600012589 | sendData | banner-101-s | Impression | 2 | 1 | 10572 |
| 154892456600012589 | sendData | banner-101-s | Impression | 3 | 1 | 10573 |
| 154892456600012589 | sendData | banner-101-s | Impression | 4 | 1 | 10574 |
| 154892456600012589 | sendData | banner-101-s | Impression | 5 | 1 | 47589 |
| 154892456600012589 | sendData | banner-101-s | Impression | 6 | 1 | 84756 |
| 256493157982168884 | Nevada | banner-109-s | Search | 1 | 2 | (null) |
| 256493157982168884 | sendData | banner-109-s | Impression | 2 | 2 | 58798 |
| 256493157982168884 | sendData | banner-109-s | Impression | 3 | 2 | 58799 |
| 256493157982168884 | sendData | banner-109-s | Impression | 4 | 2 | 10546 |
| 256493157982168884 | banner-109-s | banner-109-s | Click | 5 | 2 | 58798 |我试着得到以下信息:
| Search | Product_List_Name | SKU | Impressions | Clicks |
|------------|-------------------|-------|-------------|--------|
| California | banner-101-s | 10572 | 1 | 0 |
| California | banner-101-s | 10573 | 1 | 0 |
| California | banner-101-s | 10574 | 1 | 0 |
| California | banner-101-s | 47589 | 1 | 0 |
| California | banner-101-s | 84756 | 1 | 0 |
| Nevada | banner-109-s | 58798 | 1 | 1 |
| Nevada | banner-109-s | 58799 | 1 | 0 |
| Nevada | banner-109-s | 10546 | 1 | 0 |如果我没有很好地解释的话,我很抱歉!谢谢你的见解。
发布于 2019-03-05 15:43:18
这可能与您正在寻找的内容非常接近:
SELECT t2.event_label AS Search, t1.product_list_name, t1.SKU,
COUNT(CASE WHEN t1.event_name = 'Impression' THEN 1 END) AS Impression,
COUNT(CASE WHEN t1.event_name = 'Click' THEN 1 END) AS Click
FROM mytable AS t1
INNER JOIN mytable AS t2 ON t1.Visit_ID = t2.Visit_ID AND t2.match_id = 1
WHERE t1.match_id > 1
GROUP BY t1.Visit_ID, t1.SKU, t2.event_label, t1.product_list_name查询使用match_id <> 1选择所有记录,每条记录都与相应的match_id = 1记录匹配。它使用条件聚合来计算每个Impressions和SKU的Clicks和Visit_ID数量。
发布于 2019-03-05 15:50:45
您的结果似乎来自这样的查询:
SELECT event_label as Search, product_list_name, SKU,
SUM( (event_name = 'Impression')::int ) AS Impressions,
SUM( (event_name = 'Click')::int ) AS Clicks
FROM t
WHERE SKU IS NOT NULL
GROUP BY vent_label, product_list_name, SKU;您可能希望将pattern_id包含在GROUP BY中,但它不在结果集中,因此我不确定。
https://stackoverflow.com/questions/55006124
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