我尝试按两次分组,一次按个别级别字段,然后按时间戳字段的月份分组。
对SQL不熟悉,但这是我在阅读另一篇SO帖子后想出来的:SQL query to group by month part of timestamp
SELECT
VwNIMUserDim.USER_EMAIL_ADDRESS,
VwNIMEventFct.NIM_USER_ID,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct
GROUP BY NIM_USER_ID, MONTH('EVENT_GMT_TIMESTAMP')
我的SQL客户端Teradata返回的错误消息说: “SELECT FAILED Error 3706语法错误预期在','和MONTH关键字之间。
这是我第一次做两件事:分组两次并使用月份功能。
我在这里做错了什么?如何在每个月通过电子邮件地址用户进行分组?
答案 0 :(得分:4)
Teradata /标准SQL中没有MONTH功能,它的提取(年/月/日/小时/分钟/秒):
EXTRACT(MONTH FROM EVENT_GMT_TIMESTAMP)
答案 1 :(得分:1)
您编写的查询将导致VwNIMUserDIm和VwNIMEventFct表(视图)之间的PRODUCT(笛卡尔)JOIN。我已经冒昧地根据您对先前响应的评论来修改SQL:
SELECT
User_.USER_EMAIL_ADDRESS,
Event_.NIM_USER_ID,
Event_.EVENT_GMT_TIMESTAMP(FORMAT 'yyyy-mm')(char(7)) AS EVENT_MONTH,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct Event_
JOIN RDMAVWSANDBOX.VwNIMUserDim User_
ON Event_.NIM_USER_ID = User_.NIM_USER_ID
GROUP BY 1,2;
答案 2 :(得分:0)
可能取决于数据库来源(MSSQL,mySQL,Oracle,DB2等)
SELECT
VwNIMUserDim.USER_EMAIL_ADDRESS,
VwNIMEventFct.NIM_USER_ID,
MONTH(EVENT_GMT_TIMESTAMP),
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct
GROUP BY NIM_USER_ID, MONTH(EVENT_GMT_TIMESTAMP)