如何在不聚合的情况下透视时间序列表

时间:2019-08-02 15:55:14

标签: sql time-series pivot teradata

我正在从Teradata表中提取传感器数据以进行分析。下面是表格的外观。 enter image description here

我想对其进行透视,以使传感器名称成为列。 enter image description here

有一百多个传感器,因此枢轴之后矩阵中的许多列。由于并非所有传感器都具有所有日期的值,因此最终结果集将非常稀疏。如何在不进行汇总的情况下透视表?

2 个答案:

答案 0 :(得分:1)

您可以使用LEFT JOIN

SELECT DISTINCT t.timestamp, t1.val AS sensor_1, t2.val AS sensor_2, t3.val as sensor_3
FROM (SELECT DISTINCT timestamp FROM tab) t
LEFT JOIN tab t1
  ON t.timestamp = t1.timestamp
  AND t1.sensor_id = 'sensor1'
LEFT JOIN tab t2
  ON t.timestamp = t2.timestamp
  AND t2.sensor_id = 'sensor2'
LEFT JOIN tab t3
  ON t.timestamp = t3.timestamp
  AND t3.sensor_id = 'sensor3'

答案 1 :(得分:1)

聚合有什么问题?

select timestamp,
       max(case when sensor_id = 'sensor1' then val end) as sensor1,
       max(case when sensor_id = 'sensor2' then val end) as sensor2,
       max(case when sensor_id = 'sensor3' then val end) as sensor3,
       . . .
from t
group by timestamp;

这似乎是表达逻辑的最简单方法。它的性能可能好于100 join s。