Sql 稍微不太清晰和硬编码的NVL方法；在这种情况下，固定值是安全的。但我没有经历过这样的性能问题，我会记住这一点，并密切关注它；这可能会改变我的偏好！谢谢。奇怪的是，它还没起作用。我正在更多地调查数据，因为这是迄今为止唯一有意义的思路。 CREATE TAB

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稍微不太清晰和硬编码的NVL方法；在这种情况下，固定值是安全的。但我没有经历过这样的性能问题，我会记住这一点，并密切关注它；这可能会改变我的偏好！谢谢。奇怪的是，它还没起作用。我正在更多地调查数据，因为这是迄今为止唯一有意义的思路。

 CREATE TABLE "DVRA_STATS_AGG_HOURLY" 
       (    "ID" NUMBER(*,0), 
        "SHIPMENTS" NUMBER, 
        "EVENT_DATETIME" DATE, 
        "COUNTRY" VARCHAR2(2 CHAR), 
        "DATA_TYPE" VARCHAR2(3 CHAR), 
        "EVENT_TYPE" CHAR(15)
       )
    CREATE UNIQUE INDEX "DVRA_STATS_AGG_HOURLY_PK" ON "DVRA_STATS_AGG_HOURLY" ("ID")
    CREATE UNIQUE INDEX "DVRA_STATS_AGG_HOURLY_UK1" ON "DVRA_STATS_AGG_HOURLY" ("EVENT_DATETIME", "COUNTRY", "DATA_TYPE", "EVENT_TYPE")
 CREATE INDEX "DVRA_STATS_AGG_HOURLY_INDEX1" ON "DVRA_STATS_AGG_HOURLY" ("EVENT_DATETIME" DESC)

CREATE OR REPLACE EDITIONABLE TRIGGER "DVRA_STATS_AGG_HOURLY_AINC" 
BEFORE INSERT ON dvra_stats_agg_hourly 
FOR EACH ROW

BEGIN
  SELECT stats_seq.NEXTVAL
  INTO   :new.id
  FROM   dual;
END;

MERGE INTO dvra_stats_agg_hourly stats
USING(
    SELECT COUNT(*) as SHIPMENTS, TRUNC(event_datetime,'HH24') as event_datetime,COUNTRY,data_type,event_type
FROM AUDIT 
WHERE   event_type in (<List of events>)
    and TRUNC(event_datetime,'HH24') < trunc(sysdate,'HH24')
    and audittable.event_datetime is not null
    and audittable.COUNTRY is not null
    and audittable.data_type is not null
    and audittable.event_type is not null
GROUP BY TRUNC(event_datetime,'HH24'),COUNTRY,data_type,event_type
    ) audittable 
    ON (
            audittable.event_datetime = stats.event_datetime 
        and audittable.COUNTRY = stats.COUNTRY
        and audittable.data_type = stats.data_type 
        and audittable.event_type = stats.event_type
        )
WHEN MATCHED THEN 
    UPDATE SET stats.SHIPMENTS = audittable.SHIPMENTS WHERE stats.SHIPMENTS <> audittable.SHIPMENTS
WHEN NOT MATCHED THEN 
    INSERT (SHIPMENTS,event_datetime,STATS.COUNTRY,data_type,event_type)
    VALUES (audittable.SHIPMENTS,audittable.event_datetime,audittable.COUNTRY ,audittable.data_type ,audittable.event_type)
;

MERGE INTO dvra_stats_agg_hourly stats
USING(
    SELECT COUNT(*) as SHIPMENTS, TRUNC(event_datetime,'HH24') as event_datetime,COUNTRY,data_type,event_type
    FROM BCTCUSTOM.V_DVRA_AUDIT 
    WHERE   event_type in (<List of types>)
        and TRUNC(event_datetime,'HH24') < trunc(sysdate,'HH24')
        and TRUNC(event_datetime,'HH24') is not null
        and event_datetime is not null
        and COUNTRY is not null
        and data_type is not null
        and event_type is not null
    GROUP BY TRUNC(event_datetime,'HH24'),COUNTRY,data_type,event_type
    ) audittable 
    ON (
            audittable.event_datetime = stats.event_datetime 
        and ((audittable.COUNTRY is null and stats.COUNTRY is null) or audittable.COUNTRY = stats.COUNTRY)
        and ((audittable.data_type is null and stats.data_type is null) or audittable.data_type = stats.data_type)
        and ((audittable.event_type is null and stats.event_type is null) or audittable.event_type = stats.event_type)
        )
WHEN MATCHED THEN 
    UPDATE SET stats.SHIPMENTS = audittable.SHIPMENTS WHERE stats.SHIPMENTS <> audittable.SHIPMENTS
WHEN NOT MATCHED THEN 
    INSERT (SHIPMENTS,event_datetime,STATS.COUNTRY,data_type,event_type)
    VALUES (audittable.SHIPMENTS,audittable.event_datetime,audittable.COUNTRY ,audittable.data_type ,audittable.event_type)
;

ON (
        audittable.event_datetime = stats.event_datetime 
    and audittable.COUNTRY = stats.COUNTRY
    and audittable.data_type = stats.data_type 
    and audittable.event_type = stats.event_type
    )

ON (
        audittable.event_datetime = stats.event_datetime 
    and ((audittable.COUNTRY is null and stats.COUNTRY is null)
       or audittable.COUNTRY = stats.COUNTRY)
    and ((audittable.data_type is null and stats.data_type is null)
       or audittable.data_type = stats.data_type)
    and ((audittable.event_type is null and stats.event_type is null)
       or audittable.event_type = stats.event_type)
    )

ON (
        audittable.event_datetime = stats.event_datetime 
    and audittable.COUNTRY = stats.COUNTRY
    and audittable.data_type = stats.data_type 
    and audittable.event_type = trim(stats.event_type)
    )