I need help in constructing a query using Teradata(Version: 16.0+) OLAP functions with below scenario for comparing & eliminate rollup duplicates from a Teradata table.
I have below 9 records in a table ABC.
Existing Data(Table - ABC)
ACCOUNT_ID EXT_REF_NO SERIAL_NUM RECORD_START_DT RECORD_END_DT
1 100000000002195 8495752450757852 341FE4E6A1AF 8/13/2019 12:24:42 8/20/2019 23:59:59
2 100000000002195 8495752450757852 342FE4E6A1AF 8/21/2019 08:49:08 8/25/2019 23:59:59
3 100000000002195 8495752450757852 343FE4E6A1AF 8/27/2019 02:42:46 8/26/2019 23:59:59
4 100000000002195 8495752450757852 344FE4E6A1AF 8/28/2019 06:33:50 8/28/2019 23:59:59
5 100000000002195 8495752450757852 345FE4E6A1AF 8/30/2019 02:35:32 8/31/2019 23:59:59
6 100000000002195 8495752450757852 346FE4E6A1AF 9/2/2019 00:25:05 9/1/2019 23:59:59
7 100000000002195 8495752450757852 347FE4E6A1AF 9/3/2019 03:33:28 9/3/2019 23:59:59
8 100000000002195 8495752450757852 348FE4E6A1AF 9/4/2019 18:35:45 9/8/2019 23:59:59
9 100000000002195 8495752450757852 349FE4E6A1AF 9/10/2019 11:22:54 3/16/2020 23:59:59
Output
ACCOUNT_ID EXT_REF_NO SERIAL_NUM RECORD_START_DT RECORD_END_DT
1 100000000002195 8495752450757852 341FE4E6A1AF 8/13/2019 12:24:42 8/26/2019 23:59:59
2 100000000002195 8495752450757852 342FE4E6A1AF 8/28/2019 06:33:50 8/28/2019 23:59:59
3 100000000002195 8495752450757852 343FE4E6A1AF 8/30/2019 02:35:32 9/1/2019 23:59:59
4 100000000002195 8495752450757852 345FE4E6A1AF 9/3/2019 03:33:28 9/8/2019 23:59:59
5 100000000002195 8495752450757852 346FE4E6A1AF 9/10/2019 11:22:54 3/16/2020 23:59:59
RECORD_END_DT should be always greater than RECORD_START_DT
We will only consider those records for roll up where Record_start_dt of current row = (RECORD_END_DT + 1 day) for previous row, if the difference is more than 1 day it will not be considered
You can find violating point 1 for row no - 3 & 6, this was actually a bug for same day expired records while data entry was done, you can virtually consider RECORD_START_DT as 8/26/2019 00:00:00 & 9/2/2019 00:00:00 respectively for row no - 3 & 6 for calculation
ACCOUNT_ID,EXT_REF_NO,SERIAL_NUM all 3 should be considered for partition by
I have tried something like below. Only getting one row output with minimum DEVICE_START_DATE & maximum DEVICE_END_DATE like below:
ACCOUNT_ID EXT_REF SERIAL_NUM DEVICE_START_DATE DEVICE_END_DATE 100000000002195 8495752450757852 341FE4E6A1AF 8/13/2017 12:24:42.000000 9/16/2017 23:59:59.000000
Query: SELECT
ACCOUNT_ID,
EXT_REF,
SERIAL_NUM,
CASE WHEN (B.DIFF_DAYS <= 1 OR B.DIFF_DAYS IS NULL) THEN
min(DEVICE_START_DATE)
OVER (PARTITION BY ACCOUNT_ID,EXT_REF,SERIAL_NUM order by
DEVICE_END_DATE desc)
WHEN (B.DIFF_DAYS > 1 ) THEN
min(DEVICE_START_DATE)
OVER (PARTITION BY ACCOUNT_ID,EXT_REF,SERIAL_NUM order by
DEVICE_END_DATE desc)
END AS DEVICE_START_DATE,
DEVICE_END_DATE
FROM
(SELECT A.ACCOUNT_ID,
A.EXT_REF,
A.SERIAL_NUM,
A.DEVICE_START_DATE,
A.DEVICE_START_DATE_VIRTUAL,
A.DEVICE_END_DATE,
MIN(A.DEVICE_END_DATE)
OVER ( PARTITION BY A.ACCOUNT_ID,A.EXT_REF,A.SERIAL_NUM ORDER BY A.DEVICE_END_DATE
ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS DEVICE_END_DATE_PREVIOUS_ROW,
TRUNC(A.DEVICE_START_DATE_VIRTUAL) - TRUNC(DEVICE_END_DATE_PREVIOUS_ROW) AS DIFF_DAYS
FROM
(SELECT
ACCOUNT_ID,
EXT_REF,
SERIAL_NUM,
DEVICE_START_DATE,
CASE WHEN DEVICE_START_DATE > DEVICE_END_DATE
THEN (DEVICE_START_DATE - INTERVAL '1' DAY)
ELSE DEVICE_START_DATE END AS DEVICE_START_DATE_VIRTUAL,
DEVICE_END_DATE
FROM NDW_XH_TEMP_TABLES.TEST) A) B
QUALIFY
ROW_NUMBER()
OVER (PARTITION BY ACCOUNT_ID,EXT_REF,SERIAL_NUM order by DEVICE_END_DATE desc) = 1;
You need nested OLAP-functions, this should work as expected:
SELECT
ACCOUNT_ID
,EXT_REF_NO
,SERIAL_NUM
,Coalesce(Lag(next_start)
Over (PARTITION BY ACCOUNT_ID, EXT_REF_NO
ORDER BY next_start NULLS LAST)
,min_start) AS RECORD_START_DT
-- If your Teradata version doesn't support LAG/LEAD you must switch to the MAX version
-- ,Coalesce(Max(next_start)
-- Over (PARTITION BY ACCOUNT_ID, EXT_REF_NO
-- ORDER BY next_start NULLS LAST
-- ROWS BETWEEN 1 Preceding AND 1 Preceding)
-- ,min_start) AS RECORD_START_DT
,RECORD_END_DT
FROM
(
SELECT
ACCOUNT_ID
,EXT_REF_NO
,SERIAL_NUM
,RECORD_START_DT
,RECORD_END_DT
-- to check for a gap
,Lag(fixed_start)
Over (PARTITION BY ACCOUNT_ID, EXT_REF_NO
ORDER BY fixed_start DESC) AS next_start
-- ,Max(fixed_start)
-- Over (PARTITION BY ACCOUNT_ID, EXT_REF_NO
-- ORDER BY fixed_start DESC
-- ROWS BETWEEN 1 Preceding AND 1 Preceding) AS next_start
-- used in the outer COALESCE to get the min start for the 1st group
,Min(RECORD_START_DT)
Over (PARTITION BY ACCOUNT_ID, EXT_REF_NO) AS min_start
-- gap detection
,CASE WHEN Cast(RECORD_END_DT AS DATE) + 1 = Cast(next_start AS DATE) THEN 0 ELSE 1 END AS flag
FROM
( -- fixing the bad data first
SELECT t.*
,CASE WHEN RECORD_START_DT > RECORD_END_DT THEN RECORD_START_DT - INTERVAL '1' DAY ELSE RECORD_START_DT END AS fixed_start
FROM tab AS t
) AS fixed_data
QUALIFY flag = 1
) AS dt
This looks for gaps, after applying flag = 1 the current row got the max end date and the previous row the matching start date. The outer Select finally adds the this start date to the current row.