Flat File to SQL server

Question

I want to read data from a TXT/FLAT file and arrange the data using the first column contents as column names and the data after the semi colon as records .

SAMPLE DATA

{1:F01SBZAZAJJXXXX9999999999}{2:I940SBICMWMXXXXXN}{4:
:20:D424A100110011E4
:25:020083203
:28C:49/1
:60F:C140106ZAR1029873,62
:61:1401060106DR5000,NTRF99999999//NONREF20140106-13175-016050001844421
:86:/PREF/ZA000520CATS THIRD PARTY PAYMENT
:62F:C140106ZAR0,00
-}

{1:F01SBZAZAJJXXXX9999999999}{2:I940SBICMWMXXXXXN}{4:
:20:D3DE7040110011E4
:25:020083204
:28C:51/1
:60F:C140106NAD1030073,
:61:1401060106DR5000,NTRF20140106-13175-0//NONREF20140106-13175-016050001844421
:86:/PREF/NA000520TRANSFER
:62F:C140106NAD0,00
-}

The query below only worked for one chunk...I need a query that reads the whole data set and arranges it as shown above in the attached image.

SELECT [20], [25], [28C], [60F], [61], [86], [62F] 
FROM
(SELECT column2, column3 FROM [dbo].[Sample MT940]) AS Source_Table
PIVOT
(MAX(column3)
FOR 
column2 in ([20], [25], [28C], [60F], [61], [86], [62F])
) AS PIVOT_TABLE

Expected Results

Answer 1

Please try the following solution.

The assumption is that you always have full set of values for each row in the target table: ([20], [25], [28C], [60F], [61], [86], [62F])

We are grouping all rows into buckets with 9 consecutive rows in each of them via NTILE() function.

SQL

-- DDL and sample data population, start
DECLARE @tbl TABLE (Token VARCHAR(1024));
INSERT @tbl (Token) VALUES
('{1:F01SBZAZAJJXXXX9999999999}{2:I940SBICMWMXXXXXN}{4:'),
(':20:D424A100110011E4'),
(':25:020083203'),
(':28C:49/1'),
(':60F:C140106ZAR1029873,62'),
(':61:1401060106DR5000,NTRF99999999//NONREF20140106-13175-016050001844421'),
(':86:/PREF/ZA000520CATS THIRD PARTY PAYMENT'),
(':62F:C140106ZAR0,00'),
('-}'),
('{1:F01SBZAZAJJXXXX9999999999}{2:I940SBICMWMXXXXXN}{4:'),
(':20:D3DE7040110011E4'),
(':25:020083204'),
(':28C:51/1'),
(':60F:C140106NAD1030073,'),
(':61:1401060106DR5000,NTRF20140106-13175-0//NONREF20140106-13175-016050001844421'),
(':86:/PREF/NA000520TRANSFER'),
(':62F:C140106NAD0,00'),
('-}');
-- DDL and sample data population, end

DECLARE @group INT = (SELECT COUNT(*) FROM @tbl) / 9

;WITH rs AS
(
    SELECT * 
        , _token = PARSENAME(REPLACE(token,':','.'),1)
        , seq = (ROW_NUMBER() OVER (ORDER BY (SELECT NULL))) % 9
        , grp = NTILE(@group) OVER (ORDER BY (SELECT NULL))
    FROM @tbl
)
SELECT DISTINCT [20] = MAX(IIF(seq = 2, _token, '')) OVER (PARTITION BY grp)
    , [25] = MAX(IIF(seq = 3, _token, '')) OVER (PARTITION BY grp)
    , [28C] = MAX(IIF(seq = 4, _token, '')) OVER (PARTITION BY grp)
    , [60F] = MAX(IIF(seq = 5, _token, '')) OVER (PARTITION BY grp)
    , [61] = MAX(IIF(seq = 6, _token, '')) OVER (PARTITION BY grp)
    , [86] = MAX(IIF(seq = 7, _token, '')) OVER (PARTITION BY grp)
    , [62F] = MAX(IIF(seq = 8, _token, '')) OVER (PARTITION BY grp)
FROM rs;

Output

20	25	28C	60F	61	86	62F
D3DE7040110011E4	020083204	51/1	C140106NAD1030073,	1401060106DR5000,NTRF20140106-13175-0//NONREF20140106-13175-016050001844421	/PREF/NA000520TRANSFER	C140106NAD0,00
D424A100110011E4	020083203	49/1	C140106ZAR1029873,62	1401060106DR5000,NTRF99999999//NONREF20140106-13175-016050001844421	/PREF/ZA000520CATS THIRD PARTY PAYMENT	C140106ZAR0,00