3

リクエストをそれに続く最も早いレスポンスと一致させようとしています。残念ながら、UI は 1 つの要求に対して 1 つの応答を強制しません。

リクエスト：

ENC_ID  CONTACT EVENT_TIME
13991333    1   08/13/2012 22:00:36
13991333    1   08/13/2012 22:25:21
13991333    1   08/13/2012 22:26:14
13991333    1   08/13/2012 22:36:42
13991333    2   08/13/2012 22:29:40

反応：

ENC_ID  CONTACT EVENT_TIME
13991333    1   08/13/2012 22:25:40
13991333    1   08/13/2012 22:29:31
13991333    1   08/13/2012 22:30:47
13991333    1   08/13/2012 22:31:35
13991333    1   08/13/2012 22:31:49
13991333    2   08/13/2012 22:31:14

希望:

ENC_ID  CONTACT REQ_EVENT_TIME  RES_EVENT_TIME
13991333    1   08/13/2012 22:00:36 08/13/2012 22:25:40
13991333    1   08/13/2012 22:25:21 08/13/2012 22:29:31
13991333    1   08/13/2012 22:26:14 08/13/2012 22:30:47
13991333    1   08/13/2012 22:36:42 
13991333    2   08/13/2012 22:29:40 08/13/2012 22:31:14

ルール:

  • 応答が要求に関連付けられている場合、別の応答に関連付けることはできません。
  • 応答のないリクエストは許容されますが、その逆は許容されません

私のクエリはデカルト積を作成します:

SELECT  RQ.ENC_ID, RQ.CONTACT, RQ.EVENT_TIME REQ_EVENT_TIME,
        RS.EVENT_TIME RES_EVENT_TIME
FROM    RQ
LEFT OUTER JOIN RS ON RQ.ENC_ID=RS.ENC_ID
  AND RQ.CONTACT=RS.CONTACT
  AND RS.EVENT_TIME>RQ.EVENT_TIME

LEAD() 関数を試してみましたが、期待どおりに動作させることができませんでした。

4

2 に答える 2

1 
with t1(ENC_ID, CONTACT, EVENT_TIME) as(
  select 13991333,    1,   '08/13/2012 22:00:36' from dual union all
  select 13991333,    1,   '08/13/2012 22:25:21' from dual union all
  select 13991333,    1,   '08/13/2012 22:26:14' from dual union all
  select 13991333,    1,   '08/13/2012 22:36:42' from dual union all
  select 13991333,    2,   '08/13/2012 22:29:40' from dual
),
t2(ENC_ID,CONTACT,EVENT_TIME) as(
  select 13991333,    1,   '08/13/2012 22:25:40' from dual union all
  select 13991333,    1,   '08/13/2012 22:29:31' from dual union all
  select 13991333,    1,   '08/13/2012 22:30:47' from dual union all
  select 13991333,    1,   '08/13/2012 22:31:35' from dual union all
  select 13991333,    1,   '08/13/2012 22:31:49' from dual union all
  select 13991333,    2,   '08/13/2012 22:31:14' from dual
)
select enc_id
     , contact
     , req
     , min(res) resp
  from (select q.enc_id
             , q.contact
             , q.req
             , case  
                 when resp > req then nth_value(q.resp, q.gid) over(partition by q.enc_id, q.contact, gid order by q.req, q.gid)
               end res
         from (select t1.enc_id
                    , t1.contact
                    , t1.event_time req
                    , dense_rank() over (partition by t1.enc_id, t1.contact order by t1.event_time) gid
                    , t2.event_time resp
                 from t1
                 left outer join t2
                   on (t1.enc_id = t2.enc_id   and
                       t1.contact = t2.contact)
                order by 1,2,3,5
               ) q
         )
group by enc_id
       , contact
       ,  req
order by enc_id
       , contact
       ,  req

結果：

 ENC_ID    CONTACT     REQ                 RESP
---------- ----------  ------------------- -------------------
  13991333          1  08/13/2012 22:00:36 08/13/2012 22:25:40
  13991333          1  08/13/2012 22:25:21 08/13/2012 22:29:31
  13991333          1  08/13/2012 22:26:14 08/13/2012 22:30:47
  13991333          1  08/13/2012 22:36:42 
  13991333          2  08/13/2012 22:29:40 08/13/2012 22:31:14

ここで行っているのは、dense_rank分析関数を使用してリクエストのグループにインデックスを付けることです。

select t1.enc_id
     , t1.contact
     , to_date(t1.event_time, 'mm/dd/yyyy hh24:mi:ss') req
     , dense_rank() over (partition by t1.enc_id, t1.contact order by to_date(t1.event_time, 'mm/dd/yyyy hh24:mi:ss')) gid
     , to_date(t2.event_time, 'mm/dd/yyyy hh24:mi:ss') resp
  From t1
  left outer join t2
    on (t1.enc_id = t2.enc_id   and
        t1.contact = t2.contact)
 order by 1,2,3,5

結果：

  ENC_ID    CONTACT REQ                        GID RESP
---------- ---------- ------------------- ---------- -------------------
  13991333          1 08/13/2012 22:00:36          1 08/13/2012 22:25:40
  13991333          1 08/13/2012 22:00:36          1 08/13/2012 22:29:31
  13991333          1 08/13/2012 22:00:36          1 08/13/2012 22:30:47
  13991333          1 08/13/2012 22:00:36          1 08/13/2012 22:31:35
  13991333          1 08/13/2012 22:00:36          1 08/13/2012 22:31:49
  13991333          1 08/13/2012 22:25:21          2 08/13/2012 22:25:40
  13991333          1 08/13/2012 22:25:21          2 08/13/2012 22:29:31
  13991333          1 08/13/2012 22:25:21          2 08/13/2012 22:30:47
  13991333          1 08/13/2012 22:25:21          2 08/13/2012 22:31:35
  13991333          1 08/13/2012 22:25:21          2 08/13/2012 22:31:49
  13991333          1 08/13/2012 22:26:14          3 08/13/2012 22:25:40
  13991333          1 08/13/2012 22:26:14          3 08/13/2012 22:29:31
  13991333          1 08/13/2012 22:26:14          3 08/13/2012 22:30:47
  13991333          1 08/13/2012 22:26:14          3 08/13/2012 22:31:35
  13991333          1 08/13/2012 22:26:14          3 08/13/2012 22:31:49
  13991333          1 08/13/2012 22:36:42          4 08/13/2012 22:25:40
  13991333          1 08/13/2012 22:36:42          4 08/13/2012 22:29:31
  13991333          1 08/13/2012 22:36:42          4 08/13/2012 22:30:47
  13991333          1 08/13/2012 22:36:42          4 08/13/2012 22:31:35
  13991333          1 08/13/2012 22:36:42          4 08/13/2012 22:31:49
  13991333          2 08/13/2012 22:29:40          1 08/13/2012 22:31:14

次に、リクエストのグループのインデックスに従って、レスポンスの n 番目の値を選択します。したがって、要求の最初のグループでは、グループ内の応答時間の最初の値になり、要求の 2 番目のグループでは、グループ内の応答時間の 2 番目の値になります。

更新(10g の nth_value 分析関数の動作を模倣)

SQL> with t1(ENC_ID, CONTACT, EVENT_TIME) as(
  2    select 13991333,    1,   '08/13/2012 22:00:36' from dual union all
  3    select 13991333,    1,   '08/13/2012 22:25:21' from dual union all
  4    select 13991333,    1,   '08/13/2012 22:26:14' from dual union all
  5    select 13991333,    1,   '08/13/2012 22:36:42' from dual union all
  6    select 13991333,    2,   '08/13/2012 22:29:40' from dual
  7  ),
  8  t2(ENC_ID,CONTACT,EVENT_TIME) as(
  9    select 13991333,    1,   '08/13/2012 22:25:40' from dual union all
 10    select 13991333,    1,   '08/13/2012 22:29:31' from dual union all
 11    select 13991333,    1,   '08/13/2012 22:30:47' from dual union all
 12    select 13991333,    1,   '08/13/2012 22:31:35' from dual union all
 13    select 13991333,    1,   '08/13/2012 22:31:49' from dual union all
 14    select 13991333,    2,   '08/13/2012 22:31:14' from dual
 15  ),
 16  t3 as
 17  (
 18  select z.*
 19       , row_number() over (partition by enc_id, contact, req order by req) rn
 20    from (
 21    select t1.enc_id
 22         , t1.contact
 23         , t1.event_time req
 24         , dense_rank() over (partition by t1.enc_id, t1.contact order by t1.event_time) gid
 25         , t2.event_time resp
 26      from t1
 27      left outer join t2
 28        on (t1.enc_id = t2.enc_id   and
 29            t1.contact = t2.contact)
 30      order by 1,2,3,5
 31    ) z
 32  )
 33  select enc_id , contact, req, min(resp) resp
 34    from (
 35           select q.enc_id
 36                , q.contact
 37                , q.req
 38                , case
 39                    when min(case rn when gid then resp end) over(partition by enc_id, contact, req order by req) > req
 40                    then min(case rn when gid then resp end) over(partition by enc_id, contact, req order by req)
 41                 end resp
 42            from t3 q
 43         )
 44  group by enc_id
 45         , contact
 46         , req
 47  order by enc_id
 48         , contact
 49         , req
 50  ;

Result:


    ENC_ID    CONTACT REQ                 RESP
---------- ---------- ------------------- -------------------
  13991333          1 08/13/2012 22:00:36 08/13/2012 22:25:40
  13991333          1 08/13/2012 22:25:21 08/13/2012 22:29:31
  13991333          1 08/13/2012 22:26:14 08/13/2012 22:30:47
  13991333          1 08/13/2012 22:36:42 
  13991333          2 08/13/2012 22:29:40 08/13/2012 22:31:14
于 2012-10-20T05:58:22.510 に答える
0

あなたは非常に近いです...これを試してください：

SELECT  RQ.ENC_ID, RQ.CONTACT, RQ.EVENT_TIME REQ_EVENT_TIME,
        min(RS.EVENT_TIME) RES_EVENT_TIME
FROM    RQ
LEFT OUTER JOIN RS ON RQ.ENC_ID=RS.ENC_ID
  AND RQ.CONTACT=RS.CONTACT
  AND RS.EVENT_TIME>RQ.EVENT_TIME
GROUP BY RQ.ENC_ID, RQ.CONTACT, RQ.EVENT_TIME
ORDER BY 1,2,3,4
于 2012-10-19T20:13:23.503 に答える