Question

我正在尝试从使用简单BASH脚本运行的服务器上移植所有原始SQL脚本，因此我可以使用python和sqlalchemy处理数据，但下面的这个脚本拒绝移植。我还在下面列出了我最接近复制它的尝试。

如果有人有任何想法我会出错或者你可以复制它，请随意。

另请注意，有些表将bean替换为填充名称。

----- MYSQL -----

SELECT *
FROM
(SELECT CONCAT('{URL}', TBL1.ColumID) AS 'Link',
    TBL1.ColumID AS CaseID,
    TBL1.ColumType AS 'Abuse Type',
    TBL1.Status AS 'Status',
    TBL1.Role AS 'Queue', TBL1.CreationDate, TBL1.LastUpdated, @LAST_TOUCHED:=
    (SELECT from_unixtime((max(unix_timestamp(LAST_UPDATED))))
        FROM TBL2
        WHERE TBL1.ColumID = CaseID
        AND (NOTE_TYPE = 'communication'
            OR NOTE_SUBTYPE IS NULL)) AS last_touched, ((unix_timestamp(now()) - unix_timestamp(LAST_UPDATED))/3600/24) AS Age,
    CASE
    WHEN isnull(@LAST_TOUCHED) THEN 'N'
    ELSE 'Y'
    END AS Touched
    FROM TBL1
    WHERE TBL1.ROLE REGEXP '{ROLE Filler}'
    AND STATUS REGEXP 'RESOLVED|DELETED' =0) AS tbl
WHERE tbl.Age > 2
order by tbl.Age desc

------ Python代码失败-----

query = select([
        TBL1.c.caseid.label('CaseID'),
        TBL1.c.casetype.label('Type'),
        TBL1.c.STATUS.label('Status'),
        TBL1.c.ROLE.label('Queue'),
        TBL1.c.CREATION_DATE,
        TBL1.c.LAST_UPDATED,
        (func.from_unixtime(
            func.max(
                func.unix_timestamp(
                    TBL2.c.LAST_UPDATED))).filter(
        TBL2.c.caseid == TBL1.c.caseid).filter(
        (TBL2.c.NOTE_TYPE == '{notetype}') | 
        (TBL2.c.NOTE_SUBTYPE == None)).label("LAST_TOUCHED")
        )]).where(
        (TBL1.c.ROLE == '{rolename}') &
        (TBL1.c.STATUS != 'RESOLVED') |
        (TBL1.c.STATUS != 'DELETED'))

Answer 1

首先，仔细检查你真的必须这样做。您是这样做的，以便将您的查询包含在网络服务器中，还是提取数据进行分析？如果是后者，只需使用<script type="text/jsx" src="jsx/ExportMe.jsx"></script>：

import pandas as pd
import sqlalchemy as sa

engine = sa.create_engine('{connection string}')
df = pd.read_sql_query("{insert your complicated query here}", engine)

将MySQL查询转换为SQLalchemy查询

1 个答案: