select SUM(A.INDEX_VALUE) AS INDEX_VALUE from GBTJ00.T_DWD_GSTJ_JJZB0108 A where A.YERA_MONTH >= SUBSTR((TO_CHAR('202304','yyyymm')),1,4)-1||'01' AND A.YERA_MONTH <= SUBSTR((TO_CHAR('202304','yyyymm')),1,4)-1||SUBSTR('202304',5,2) AND A.IZS = '04' and A.PROCESS_NO = '27' AND A.INDEX_NAME ='广东新兴销售量（产品：铸管）'这段sql错误在哪

这段 SQL 语句中存在一个语法错误。具体来说，是在最后一行的字符串常量 `'广东新兴销售量（产品：铸管）'` 缺少了一个单引号 `'` 的闭合。

以下是修改后的 SQL 语句：

SELECT SUM(A.INDEX_VALUE) AS INDEX_VALUE
FROM GBTJ00.T_DWD_GSTJ_JJZB0108 A
WHERE A.YEAR_MONTH >= SUBSTR((TO_CHAR('202304', 'yyyymm')), 1, 4) - 1 || '01'
  AND A.YEAR_MONTH <= SUBSTR((TO_CHAR('202304', 'yyyymm')), 1, 4) - 1 || SUBSTR('202304', 5, 2)
  AND A.IZS = '04'
  AND A.PROCESS_NO = '27'
  AND A.INDEX_NAME = '广东新兴销售量（产品：铸管）';

请注意，修改后的 SQL 语句中，在最后一行的字符串常量 `'广东新兴销售量（产品：铸管）'` 前后都有单引号 `'` 的闭合。

相关问题

优化这段SQL：SELECT CONCAT( HOUR ( mail_send_time ) DIV 1 * 1, ':00-', HOUR ( mail_send_time ) DIV 1 * 1, ':59' ) AS timeInterval, IFNULL( COUNT( * ), 0 ) AS total, IFNULL( SUM( contact_account_type = IF(cv.code_value='01',cv.code_description,'') ), 0 ) AS wxTotal, IFNULL( SUM( contact_account_type = IF(cv.code_value='02',cv.code_description,'') ), 0 ) AS qqTotal, IFNULL( SUM( local_action = IF(cv.code_value='05',cv.code_description,'') AND contact_account_type = IF(cv.code_value='01',cv.code_description,'')), 0 ) AS wxSend, IFNULL( SUM( local_action = IF(cv.code_value='06',cv.code_description,'') AND contact_account_type = IF(cv.code_value='01',cv.code_description,'')), 0 ) AS wxReceive , IFNULL( SUM( local_action = IF(cv.code_value='05',cv.code_description,'') AND contact_account_type = IF(cv.code_value='02',cv.code_description,'')), 0 ) AS qqSend, IFNULL( SUM( local_action = IF(cv.code_value='06',cv.code_description,'') AND contact_account_type = IF(cv.code_value='02',cv.code_description,'')), 0 ) AS qqReceive FROM dwd_t_friend_talk, dwd_t_code_value cv WHERE person_no = '653129200105072624' AND contact_account_type IN ( IF(cv.code_value='01',cv.code_description,''), IF(cv.code_value='02',cv.code_description,'')) AND friend_account <> '' AND contact_account_type <> '' AND mail_send_time IS NOT NULL AND mail_send_time <> '' GROUP BY HOUR ( mail_send_time ) DIV 1

可以考虑以下几种优化方式：

1. 使用JOIN语句代替WHERE语句中的子查询，可以提高查询效率。

2. 对mail_send_time字段创建索引，可以加快查询速度。

3. 可以尝试将COUNT和SUM聚合函数合并成一个SELECT语句，以减少查询次数。

4. 可以考虑将IFNULL函数替换为COALESCE函数，因为COALESCE函数在MySQL中的性能更好。

优化后的SQL如下：

SELECT CONCAT(HOUR(mail_send_time) DIV 1 * 1, ':00-', HOUR(mail_send_time) DIV 1 * 1, ':59') AS timeInterval,
COUNT(*) AS total,
SUM(COALESCE(contact_account_type = IF(cv.code_value='01',cv.code_description,''), 0)) AS wxTotal,
SUM(COALESCE(contact_account_type = IF(cv.code_value='02',cv.code_description,''), 0)) AS qqTotal,
SUM(COALESCE(local_action = IF(cv.code_value='05',cv.code_description,'') AND contact_account_type = IF(cv.code_value='01',cv.code_description,''), 0)) AS wxSend,
SUM(COALESCE(local_action = IF(cv.code_value='06',cv.code_description,'') AND contact_account_type = IF(cv.code_value='01',cv.code_description,''), 0)) AS wxReceive,
SUM(COALESCE(local_action = IF(cv.code_value='05',cv.code_description,'') AND contact_account_type = IF(cv.code_value='02',cv.code_description,''), 0)) AS qqSend,
SUM(COALESCE(local_action = IF(cv.code_value='06',cv.code_description,'') AND contact_account_type = IF(cv.code_value='02',cv.code_description,''), 0)) AS qqReceive
FROM dwd_t_friend_talk
JOIN dwd_t_code_value cv ON contact_account_type IN (cv.code_description)
WHERE person_no = '653129200105072624'
AND friend_account <> ''
AND contact_account_type <> ''
AND mail_send_time IS NOT NULL
AND mail_send_time <> ''
GROUP BY HOUR(mail_send_time) DIV 1;

帮我优化下这个sql ： SELECT t4.vin, t3.msg_id AS trip_id, t3.trip_start_time, t4.switch_value AS has_trip FROM ( SELECT * FROM dds.dwd_driving_calendar t1 WHERE t1.vin = 'LSJA24396MS179029' AND 1681745400001 > t1.trip_start_time AND 1681745400001 < t1.trip_end_time ) t3 LEFT JOIN ( SELECT * FROM dds.vehicle_journey_switch_history t2 WHERE t2.vin IN ( 'LSJA24396MS179029' ) ) t4 ON t3.vin = t4.vin AND t4.switch_key = 'vehicle_journey_data' AND '2023-04-17 23:30:00' > t4.create_time AND '2023-04-17 23:30:00' < t4.update_time

可以尝试优化以下几个方面：

1. 使用EXISTS替换LEFT JOIN

可以使用EXISTS来代替LEFT JOIN进行连接查询，因为EXISTS在查询到一条匹配的数据后就会停止，而LEFT JOIN需要查询完整个表再返回结果。

SELECT t3.vin, t3.msg_id AS trip_id, t3.trip_start_time, 
       t4.switch_value AS has_trip 
FROM dds.dwd_driving_calendar t3 
WHERE t3.vin = 'LSJA24396MS179029' 
  AND 1681745400001 > t3.trip_start_time 
  AND 1681745400001 < t3.trip_end_time
  AND EXISTS (
      SELECT 1 
      FROM dds.vehicle_journey_switch_history t4 
      WHERE t3.vin = t4.vin 
        AND t4.switch_key = 'vehicle_journey_data' 
        AND '2023-04-17 23:30:00' > t4.create_time 
        AND '2023-04-17 23:30:00' < t4.update_time
    )

2. 添加索引

在vin、trip_start_time、trip_end_time、switch_key、create_time和update_time列上添加索引，可以加速查询。

3. 不要使用SELECT *

在子查询中不要使用SELECT *，而是明确指定需要查询的列，可以减少不必要的数据读取和传输，提高查询效率。例如：

SELECT vin, msg_id AS trip_id, trip_start_time
FROM dds.dwd_driving_calendar 
WHERE vin = 'LSJA24396MS179029' 
  AND 1681745400001 > trip_start_time 
  AND 1681745400001 < trip_end_time

SELECT vin, switch_value
FROM dds.vehicle_journey_switch_history
WHERE vin IN ('LSJA24396MS179029') 
  AND switch_key = 'vehicle_journey_data' 
  AND '2023-04-17 23:30:00' > create_time 
  AND '2023-04-17 23:30:00' < update_time