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
위 쿼리는 첨부 된 그림과 같이 데이터 집합을 추출합니다. 가변 열을 값이있는 여러 열로 분할해야합니다. 하위 쿼리를 사용하여 수행해야한다고 생각합니다. 어떻게 시작할 수 있습니까?열을 여러 열로 나누기
는 출력 예상 :
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
을 줄 수도, 아래에보십시오. 당신은 기대되는 결과의 예를 제공 할 수 있습니까! –
https://i.stack.imgur.com/Xa1hg.png –
@Mikhail, 위의 링크 –