Question

我是SQL服务器的新手，我正在尝试添加基于条件的先前数据。

这是迄今为止我从2本书中获得的数据的一个例子。

LATEST6.0b1

＆＃13;

rollerOLS <- function(data, measure, predict, predictor){
  error <- c()
  m <- dim(data)[1]
  for(i in 1:(floor(m/142)-10)){
    data.new <- as.data.frame(data[c((1+(142*(i-1))):((i+9)*142)),])
    data.pred <- as.data.frame(data[c((1+(142*(i+9))):((i+10)*142)-1),])
    n <- dim(data.new)[1]
    k <- dim(data.pred)[1]
    x <- data.new[-1,predictor]
    y <- data.new[-n, predict]
    mod <- lm(y ~ x)
    ts <- predict.lm(mod, newdata = data.frame(data.pred[, predictor]), interval="none")
    actual <- data.pred[-k,predict]
    error[i] <- measure(ts, actual)
  }
  return(mod)
}

＆＃13;

LATEST6.0b2

＆＃13;

EQOF_CNTR_N	STATUS_C	   LEN_Q    ABBR_VESSEL_M
AHLU1100548	   F	         20           p
ALQU7004370	   F	         20           f
AMFU8768914	   F	         40           g
AMFU8786693	   F	         40           s
AMFU8832490	   F	         40           y
AMFU8837379	   F           40           g
AMFU8847021	   F	         40           d

ATB_DT	            SNAP_DT           CT     STATUS_C
23/3/2017 19:45	23/3/2017 12:00       B        E
26/3/2017 8:15	23/3/2017 12:00       K        E
23/3/2017 10:15	23/3/2017 12:00       R        F
23/3/2017 3:50	23/3/2017 12:00       V        F
25/3/2017 19:50	23/3/2017 12:00       T        F
26/3/2017 17:00	23/3/2017 12:00       P        F
23/3/2017 5:50	23/3/2017 12:00       G        F

＆＃13;

这是我到目前为止运行的代码。

＆＃13;

    EQOF_CNTR_N	STATUS_C	   LEN_Q    ABBR_VESSEL_M
    AHLU1100548	   F	         20           p
    ALQU7004370	   F	         20           f
    AMFU8768914	   F	         40           g
    AMFU8786693	   F	         40           s
    AMFU8832490	   F	         40           y
    AMFU8837379	   F             40           g
    AMFU8847021	   F	         40           d

    ATB_DT	            SNAP_DT           CT     STATUS_C
    23/3/2017 19:45	23/3/2017 12:00       B        E
    26/3/2017 8:15	23/3/2017 12:00       K        E
    23/3/2017 10:15	23/3/2017 12:00       R        F
    23/3/2017 3:50	23/3/2017 12:00       V        F
    25/3/2017 19:50	23/3/2017 12:00       T        F
    26/3/2017 17:00	23/3/2017 12:00       P        F
    23/3/2017 5:50	23/3/2017 12:00       G        F
    
    ARRIVAL_TIME
  22/3/2017 18:17
  24/3/2017 14:45
  22/3/2017 12:11
  22/3/2017 4:00
  24/3/2017 16:45
  24/3/2017 9:58
  22/3/2017 15:16

＆＃13;

这是我得到的输出

＆＃13;

SELECT a.SNAP_DT, a.VOYAGE_OUT_N,a.ABBR_VESSEL_M, a.STATUS_C,a.CT, 
(SELECT count(*) FROM [LATEST6.0b1] y, [LATEST6.0b2] z WHERE ARRIVAL_TIME <= SNAP_DT AND y.EQOF_CNTR_N = z.EQOF_CNTR_N AND y.SNAP_DT = a.SNAP_DT AND y.VOYAGE_OUT_N = a.VOYAGE_OUT_N AND y.STATUS_C = a.STATUS_C AND y.ABBR_VESSEL_M = a.ABBR_VESSEL_M AND y.CT = a.CT) c,
(SELECT count(*) FROM [LATEST6.0b1] y, [LATEST6.0b2] z WHERE ARRIVAL_TIME <= SNAP_DT AND y.EQOF_CNTR_N = z.EQOF_CNTR_N AND y.VOYAGE_OUT_N = a.VOYAGE_OUT_N AND y.STATUS_C = a.STATUS_C AND y.ABBR_VESSEL_M = a.ABBR_VESSEL_M AND y.CT = a.CT) totalc
from
	[LATEST6.0b1] a,
	[LATEST6.0b2] b
WHERE
	a.EQOF_CNTR_N = b.EQOF_CNTR_N
GROUP BY
	a.SNAP_DT,
	a.VOYAGE_OUT_N,
    a.ABBR_VESSEL_M,
	a.STATUS_C,
	a.CT
ORDER BY
    a.CT,
    a.STATUS_C,
	a.VOYAGE_OUT_N,
	a.SNAP_DT asc;

＆＃13;

如果查看c和totalc列，我会尝试根据相同的VOYAGE_OUT_N和ABBR_VESSEL_M将数字添加到上一行。因此，所需的输出应如下所示。

＆＃13;

SNAP_DT	         VOYAGE_OUT_N    ABBR_VESSEL_M
2017-03-31 20:00:00	0006W             P
2017-04-01 00:00:00	0006W             P
2017-04-01 04:00:00	0006W             P
2017-04-07 20:00:00	0007S             Q
2017-04-08 00:00:00	0007S             Q
2017-04-10 16:00:00	0007S             Q

c	 totalc
12	36
12	36
12	36
0	126
0	126
126	126

＆＃13;

你有什么想法吗？提前谢谢。

根据条件添加到上一行

0 个答案: