SqlServer 中ISNULL(a.DEALTIME,'')=''

这段代码的含义是：如果a.DEALTIME的值为NULL或空字符串，则返回TRUE，否则返回FALSE。在这个表达式中，使用了ISNULL函数来判断a.DEALTIME是否为NULL，如果是NULL，则返回空字符串''，然后再和空字符串''进行比较。如果a.DEALTIME不是NULL，那么就直接和空字符串''进行比较。这个表达式通常用来判断某个字段是否为空，以便在查询中进行筛选或者计算。

相关问题

UPDATE a SET a.refund_status = b.dealstat , a.refund_time = b.dealtime FROM dwi_store_setmt_ord_dtl_p a INNER JOIN sdi_dgmps_dgmpsdb_mstore.chainstorefeemangdtl_p b ON a.comp_code = trim(upper(b.companycode)) AND a.src_pid = trim(b.pid) WHERE a.refund_status = 0 AND ISNULL(a.refund_time,'') = '' AND b.dealstat = 1 AND ISNULL(a.dealtime,'') <> '' ;改为用merge into 更新

Sure, here's the equivalent MERGE statement:

MERGE INTO dwi_store_setmt_ord_dtl_p AS a
USING (
    SELECT trim(upper(b.companycode)) AS comp_code,
           trim(b.pid) AS src_pid,
           b.dealstat,
           b.dealtime
    FROM sdi_dgmps_dgmpsdb_mstore.chainstorefeemangdtl_p AS b
    WHERE b.dealstat = 1
) AS b
ON a.comp_code = b.comp_code
   AND a.src_pid = b.src_pid
   AND a.refund_status = 0
   AND ISNULL(a.refund_time, '') = ''
   AND ISNULL(a.dealtime, '') <> ''
WHEN MATCHED THEN
    UPDATE SET a.refund_status = b.dealstat,
               a.refund_time = b.dealtime;

This MERGE statement combines the source table `sdi_dgmps_dgmpsdb_mstore.chainstorefeemangdtl_p` with the target table `dwi_store_setmt_ord_dtl_p` based on the matching conditions specified in the ON clause. When a match is found, the specified columns in the target table are updated with the corresponding values from the source table.

运行这段代码出现TypeError: '<' not supported between instances of 'datetime.date' and 'int'错误csp_info.replace(to_replace=r'^\s*$', value=np.nan, regex=True, inplace=True) csp_info.dropna(inplace=True) csp_info['year'] = csp_info['DealTime'].str.split('/', expand=True)[0] csp_info['month'] = csp_info['DealTime'].str.split('/', expand=True)[1] csp_info['day'] = csp_info['DealTime'].str.split('/', expand=True)[2].str.split(' ', expand=True)[0] stu_info_copy = stu_info[['bf_StudentID','cla_id']] # csp_info_copy = csp_info.copy() csp_info['csp_date'] = 0 csp_info['Mon'] = 0 for i in range(csp_info['csp_date'].shape[0]): csp_info['csp_date'].iloc[i] = str(csp_info['year'].iloc[i]) + '-' + str(csp_info['month'].iloc[i]) + '-' + str( csp_info['day'].iloc[i]) csp_info['Mon'].iloc[i] = float(str(csp_info['MonDeal'].iloc[i]).split('-')[1]) # print(csp_info) csp_info['csp_date'] = pd.to_datetime(csp_info['csp_date']).dt.date csp_info_copy = csp_info[['bf_StudentID', 'csp_date', 'Mon']] csp_num = csp_info_copy.groupby(['csp_date']).count().reset_index() csp_info_date_all = [] for i in range(csp_num.shape[0]): csp_info_date_all.append(str(csp_num['csp_date'].iloc[i])) print(len(csp_info_date_all)) stu_info_copy_merge = pd.merge(stu_info_copy, csp_info_copy, on='bf_StudentID', how='left') stu_info_copy_merge = stu_info_copy_merge.fillna(0) Mon_arr = [] for i in range(len(classId)): stu_info_copy_merge_id = stu_info_copy_merge.drop(stu_info_copy_merge[stu_info_copy_merge['cla_id'] != classId[i]].index) print(stu_info_copy_merge_id) csp_date = [] Mon= [] Num= [] csp_money = stu_info_copy_merge_id[['csp_date', 'Mon']].groupby('csp_date').sum().reset_index() csp_num = stu_info_copy_merge_id[['csp_date','Mon']].groupby('csp_date').count().reset_index() print(csp_money) print(csp_num)

这段代码出现了TypeError: '<' not supported between instances of 'datetime.date' and 'int'错误。可能是因为在代码中使用了日期类型和整数类型之间的比较，导致出现了错误。具体原因需要查看代码中的其他部分。