SELECT bd.SENSOR_ID as sensorId, si.sensor_name AS sensorName, si.dam_id as damId, bd.WATER_LEVEL AS waterLevel, bd.WATER_TOP AS waterTop , bd.HOLE_DEPTH AS holeDepth, td.height-bd.WATER_TOP AS buryDepth FROM ( SELECT DAM_ID,SENSOR_ID, WATER_LEVEL,WATER_TOP, HOLE_DEPTH, ROW_NUMBER ( ) OVER ( PARTITION BY SENSOR_ID ORDER BY UPLOAD_TIME DESC ) AS RN FROM B_DAM_WATER_LEVEL ) bd LEFT JOIN sensor_info si ON bd.SENSOR_ID = si.sensor_id LEFT JOIN tailings_dam td ON bd.DAM_ID=td.dam_id WHERE bd.RN = 1 这个sql优化下查询速度
时间: 2024-02-14 17:19:04 浏览: 71
优化sql查询速度
对于这个 SQL 查询语句,可以考虑以下优化方案:
1.使用索引:对于查询中涉及到的表,可以对关联的字段建立相应的索引,例如在 B_DAM_WATER_LEVEL 表中可以为 SENSOR_ID 和 UPLOAD_TIME 字段建立索引,在 sensor_info 表中为 sensor_id 字段建立索引,在 tailings_dam 表中为 dam_id 字段建立索引。这样可以加快查询效率。
2.使用子查询替代连接查询:可以将子查询中的结果作为一个虚拟表,然后与 sensor_info 表和 tailings_dam 表进行连接,例如:
```
SELECT bd.SENSOR_ID as sensorId,
si.sensor_name AS sensorName,
si.dam_id as damId,
bd.WATER_LEVEL AS waterLevel,
bd.WATER_TOP AS waterTop,
bd.HOLE_DEPTH AS holeDepth,
td.height-bd.WATER_TOP AS buryDepth
FROM
(SELECT DAM_ID,
SENSOR_ID,
WATER_LEVEL,
WATER_TOP,
HOLE_DEPTH,
ROW_NUMBER() OVER (PARTITION BY SENSOR_ID ORDER BY UPLOAD_TIME DESC) AS RN
FROM B_DAM_WATER_LEVEL) bd
JOIN
(SELECT sensor_id,
sensor_name,
dam_id
FROM sensor_info) si
ON bd.SENSOR_ID = si.sensor_id
JOIN
(SELECT dam_id,
height
FROM tailings_dam) td
ON bd.dam_id = td.dam_id
WHERE bd.RN = 1;
```
3.使用 WITH 语句:使用 WITH 语句将子查询的结果作为一个临时表,然后对临时表进行操作,例如:
```
WITH latest_water_level AS (
SELECT DAM_ID,
SENSOR_ID,
WATER_LEVEL,
WATER_TOP,
HOLE_DEPTH,
ROW_NUMBER() OVER (PARTITION BY SENSOR_ID ORDER BY UPLOAD_TIME DESC) AS RN
FROM B_DAM_WATER_LEVEL
WHERE RN = 1
)
SELECT bd.SENSOR_ID as sensorId,
si.sensor_name AS sensorName,
si.dam_id as damId,
bd.WATER_LEVEL AS waterLevel,
bd.WATER_TOP AS waterTop,
bd.HOLE_DEPTH AS holeDepth,
td.height-bd.WATER_TOP AS buryDepth
FROM
latest_water_level bd
JOIN
(SELECT sensor_id,
sensor_name,
dam_id
FROM sensor_info) si
ON bd.SENSOR_ID = si.sensor_id
JOIN
(SELECT dam_id,
height
FROM tailings_dam) td
ON bd.dam_id = td.dam_id;
```
以上是一些常见的 SQL 查询优化方案,可以根据实际情况进行选择和调整。
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