将列拆分为多列

Question

SELECT
    STRFTIME_UTC_USEC(TimeStamp,"%Y-%m-%d %H:%M:%S") AS TimeStamp,
    Value.provided,
    __key__.app AS ProjectID,
    REGEXP_EXTRACT(__key__.path, r'"hostname"[, ]*"(.*?)"') AS hostname,
    REGEXP_EXTRACT(__key__.path, r'"machine"[, ]*"(.*?)"') AS machine,
    REGEXP_EXTRACT(__key__.path, r'"variable"[, ]*"(.*?)"') AS variable,
    IF(value.provided = 'integer', CAST(value.integer AS STRING),              
    CAST(value.boolean AS STRING)) AS value
FROM 
    [spark-test-project-152415:spark_machine_learning.spark_12272016]
ORDER BY 
    TimeStamp
LIMIT 100000

以上查询提取数据集，如附图所示。我需要将变量列拆分为多个列，其中包含值。我认为必须使用子查询来完成。我怎样才能开始这个？

预期产出：

使用PIVOT查询

SELECT * FROM (SELECT #Timestamp, STRFTIME_UTC_USEC(TimeStamp,"%Y-%m-%d %H:%M:%S") AS [TimeStamp], Value.provided, __key__.app AS ProjectID, REGEXP_EXTRACT(__key__.path, r'"hostname"[, ]*"(.*?)"') AS [hostname], REGEXP_EXTRACT(__key__.path, r'"machine"[, ]*"(.*?)"') AS [machine], REGEXP_EXTRACT(__key__.path, r'"variable"[, ]*"(.*?)"') AS [variable], IF(value.provided = 'integer', CAST(value.integer AS STRING), CAST(value.boolean AS STRING)) AS [value] FROM [spark-test-project-152415:spark_machine_learning.spark_12272016] ORDER BY TimeStamp ) AS SourceTable PIVOT ([value] FOR [variable] IN ([Counter_Strokes_No_Reset], [Press_State_Code], [Press_Operator_1], [Press_Stop_Time_Limit], [Counter_Good_Parts_No_Reset], [Press_Error_Reason_Code], [Counter_Scrap_No_Reset], [Production_Tool_Number], [Press_Stop_Time_Actual], [Production_Good_Parts_Preset], [Press_Shaft_Speed], [Production_Part_Number], [Press_Total_Tonnage], [Production_Job_Number]) ) AS PivotTable

Answer 1

  

我该如何开始？

尝试下面，它可能会给你一个想法

render()