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SQL Server - how to parse data from a single column into separate columns TAB Delimited
Posted on 2016-08-31
My data table looks like this:
RowID DetailData
1 0BATCH NEXTGEN NEXTGENEMR 20160829CPM 651
2 1P0007.63579.0000 1609168541 899972053 1230 CN25
3 2P201608232016082399348 1 0 1
4 51 401.9
5 52 719.45
6 71609168541
7 1P0007.63512.0000 1093765679 100458751 1230 CN25
8 2P201608262016082699347 1 0 1
9 51 787.01
10 71093765679
11 1P0014.236945.0000 1174807291 2254912701 1230 GW23
12 2P201608252016082599341 1 0 1
13 51 402.10
14 52 272.2
15 53 250.00
16 54 244.9
17 55 414.01
18 56 278.02
19 57 V85.24
20 71174807291
The Detailed Data column needs to be separated into separate COLUMNS of data based on the TAB spacing.
Each Full Record contains Rows that start with "1,2,5 and 7". I believe there can be 1 or many rows for each "1,2,5,7" but it appears that most multiple rows show up in the "5" type.
I need help in creating a sql script that will step through this table and separate the DetailedData field into separate fields.
Thanks
RowID DetailData
1 0BATCH NEXTGEN NEXTGENEMR 20160829CPM 651
2 1P0007.63579.0000 1609168541 899972053 1230 CN25
3 2P201608232016082399348 1 0 1
4 51 401.9
5 52 719.45
6 71609168541
7 1P0007.63512.0000 1093765679 100458751 1230 CN25
8 2P201608262016082699347 1 0 1
9 51 787.01
10 71093765679
11 1P0014.236945.0000 1174807291 2254912701 1230 GW23
12 2P201608252016082599341 1 0 1
13 51 402.10
14 52 272.2
15 53 250.00
16 54 244.9
17 55 414.01
18 56 278.02
19 57 V85.24
20 71174807291
The Detailed Data column needs to be separated into separate COLUMNS of data based on the TAB spacing.
Each Full Record contains Rows that start with "1,2,5 and 7". I believe there can be 1 or many rows for each "1,2,5,7" but it appears that most multiple rows show up in the "5" type.
I need help in creating a sql script that will step through this table and separate the DetailedData field into separate fields.
Thanks
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10 Comments
Active today
Use a splitter function. dbo.DelimitedSplit8K is excellent, you can Google for its source code.
SELECT mt.RowID,
MAX(CASE WHEN ds.ItemNumber = 1 THEN ds.Item END) AS Column1,
MAX(CASE WHEN ds.ItemNumber = 2 THEN ds.Item END) AS Column2,
MAX(CASE WHEN ds.ItemNumber = 3 THEN ds.Item END) AS Column3,
MAX(CASE WHEN ds.ItemNumber = 4 THEN ds.Item END) AS Column4 --,...
FROM dbo.main_table mt
CROSS APPLY dbo.DelimitedSplit8K (mt.DetailData, CHAR(9)) ds
GROUP BY mt.RowID
SELECT mt.RowID,
MAX(CASE WHEN ds.ItemNumber = 1 THEN ds.Item END) AS Column1,
MAX(CASE WHEN ds.ItemNumber = 2 THEN ds.Item END) AS Column2,
MAX(CASE WHEN ds.ItemNumber = 3 THEN ds.Item END) AS Column3,
MAX(CASE WHEN ds.ItemNumber = 4 THEN ds.Item END) AS Column4 --,...
FROM dbo.main_table mt
CROSS APPLY dbo.DelimitedSplit8K (mt.DetailData, CHAR(9)) ds
GROUP BY mt.RowID
Thanks for the input.
Can this be used with a "tab delimited" source field?
The documentation states that it is specifically coded for a "Single Character Delimiter", change at your own risk...
Can this be used with a "tab delimited" source field?
The documentation states that it is specifically coded for a "Single Character Delimiter", change at your own risk...
What I'm really looking for as a result is this:
For example, for ROWID 1-6, I need to take that "DetailData" field for each ROWID and parse it out into a single FLAT ROW.
This should be the result for the RowIDs 1-6 should be:
col1,col2,col3,col4,col5,c
P0007.63579.0000,160916854
For example, for ROWID 1-6, I need to take that "DetailData" field for each ROWID and parse it out into a single FLAT ROW.
This should be the result for the RowIDs 1-6 should be:
col1,col2,col3,col4,col5,c
P0007.63579.0000,160916854
Active today
I can't provide exact code for that since I don't have ready-to-use data. But I think a combination of ROW_NUMBER() and the split could be made to work.
Here is the data sample:
rowid,detaildata
1, 0BATCH NEXTGEN NEXTGENEMR 20160829CPM 651
2, 1P0007.63579.0000 1609168541 899972053 1230 CN25
3, 2P201608232016082399348 1 0 1
4, 51 401.9
5, 52 719.45
6, 71609168541
7, 1P0007.63512.0000 1093765679 100458751 1230 CN25
8, 2P201608262016082699347 1 0 1
9, 51 787.01
10, 71093765679
11, 1P0014.236945.0000 1174807291 2254912701 1230 GW23
12, 2P201608252016082599341 1 0 1
13, 51 402.10
14, 52 272.2
15, 53 250.00
16, 54 244.9
17, 55 414.01
18, 56 278.02
19, 57 V85.24
20, 71174807291
rowid,detaildata
1, 0BATCH NEXTGEN NEXTGENEMR 20160829CPM 651
2, 1P0007.63579.0000 1609168541 899972053 1230 CN25
3, 2P201608232016082399348 1 0 1
4, 51 401.9
5, 52 719.45
6, 71609168541
7, 1P0007.63512.0000 1093765679 100458751 1230 CN25
8, 2P201608262016082699347 1 0 1
9, 51 787.01
10, 71093765679
11, 1P0014.236945.0000 1174807291 2254912701 1230 GW23
12, 2P201608252016082599341 1 0 1
13, 51 402.10
14, 52 272.2
15, 53 250.00
16, 54 244.9
17, 55 414.01
18, 56 278.02
19, 57 V85.24
20, 71174807291
Active today
I don't have time to convert that splat of data into create table and insert statements. that takes more time -- and is far more boring -- than writing the final query.
This sorta look like a debug/telemetry feed from a device. A proposed solution is attached.
Nauseating Detail
You have an ordered set of input records that are individually typed. The input set is structured, a single unit starts with a Type 1 record. It looks like Type 1, 2, and 7 are always present. The unit may contain one or more type 5 records.
I ignored the record ids that you provided because it makes for a more generic solution.
So the problems are:
1) Create formal record types
2) Formally associate the records of a unit
3) Create a single record from the unit.
First create the dummy data set/feed.
Then, create an internal table to hold the data and associated row and unit identities within the procedure. I used a table variable.
Problem 1 - Create formal record types
Easy peasy - Strip the first byte off of data and call it record type. Also individually id each record while jamming it into internal table.
Problem 2 - Formally associate the records of a unit
Find each Type 1 record id and give it a unique rnum identity (ROW_NUMBER() function)
Self join the result to itself by rnum of current record + 1 = next rnum yielding a pair of preceding and following Type 1 record pairs. Jigger the results to account for NULL in last pair and use of inclusive BETWEEN logic in update. Once the unit ids (GroupId) are assigned, the row ids are no longer used.
3) Create a single record from the unit
As noted in the code, You must create a table-valued function string parser.
This is pretty straight forward. There are two kinds of records in a unit: Types 1, 2, and 7 are parsed into individual named fields via a table-valued function. Type 5 records look like attribute-value pairs already.
Simply PIVOT the type 5 records to get a single record per unit (Detail).
Parse, UNION, and then PIVOT the Type 1, 2, and 7 to get a single record per unit (Header). I did this in two logical steps.
Join Header and Detail to yield a single row per unit.
Nauseating Detail
You have an ordered set of input records that are individually typed. The input set is structured, a single unit starts with a Type 1 record. It looks like Type 1, 2, and 7 are always present. The unit may contain one or more type 5 records.
I ignored the record ids that you provided because it makes for a more generic solution.
So the problems are:
1) Create formal record types
2) Formally associate the records of a unit
3) Create a single record from the unit.
First create the dummy data set/feed.
Then, create an internal table to hold the data and associated row and unit identities within the procedure. I used a table variable.
Problem 1 - Create formal record types
Easy peasy - Strip the first byte off of data and call it record type. Also individually id each record while jamming it into internal table.
Problem 2 - Formally associate the records of a unit
Find each Type 1 record id and give it a unique rnum identity (ROW_NUMBER() function)
Self join the result to itself by rnum of current record + 1 = next rnum yielding a pair of preceding and following Type 1 record pairs. Jigger the results to account for NULL in last pair and use of inclusive BETWEEN logic in update. Once the unit ids (GroupId) are assigned, the row ids are no longer used.
3) Create a single record from the unit
As noted in the code, You must create a table-valued function string parser.
This is pretty straight forward. There are two kinds of records in a unit: Types 1, 2, and 7 are parsed into individual named fields via a table-valued function. Type 5 records look like attribute-value pairs already.
Simply PIVOT the type 5 records to get a single record per unit (Detail).
Parse, UNION, and then PIVOT the Type 1, 2, and 7 to get a single record per unit (Header). I did this in two logical steps.
Join Header and Detail to yield a single row per unit.
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