Stan Light

Stan Light

  • NA
  • 13
  • 591

Import Flat file then Transpose rows to columns

Mar 20 2019 2:20 PM
I have a flat text file with several thousand rows that i want to import into a table then transpose the rows to columns. The data in the rows are related so long as an "ID" matches the "ID" of the previous record until the next ID = 0 or InfoObject = "YOO_CH056" then start all over with a new row. The transposed rows can vary from one or two columns called "nodes" up to a maximum of 7 "nodes" also, Ids 1 and 2 are consistent columns for every row. (see sample of expected resulted for a better understanding).
 
Here is a sample of the Flat Text File:
Function ID InfoObject Node Name Link ID Parent ID Child ID Next ID
Function 1 0HIER_NODE FUNCTION 0 2 0
Global Functions 2 0HIER_NODE GF000001 1 3 0
Finance 1331 0HIER_NODE GF110000 2 1332 1487
Corporate Finance 1333 0HIER_NODE GF110500 1331 1334 1407
Finance Investment & Other 1372 0HIER_NODE GF110840 1333 1373 1384
Finance Investment Management 1373 0HIER_NODE GF110855 1372 1374 1379
Finance Global Real Estate IM 1375 0HIER_NODE GF110865 1373 1376 1378
AMG/FSD Controllers GRE New 1377 YOO_CH056 GF110875 1375 0 0
Chief Investments Office 1652 0HIER_NODE GF219000 2 1653 1852
Investments - AMG 1653 0HIER_NODE GF066400 1652 1654 1783
AIG Investments Other 1753 0HIER_NODE GF067130 1653 1754 1755
Investments Other 1754 YOO_CH056 GF067150 1753 0 0
 
Here is the expected result:
 
Node0 Node0_Name Node1 Node1_Name Node2 Node2_Name Node3 Node3_Name Node4 Node4_Name Node5 Node5_Name Node6 Node6_Name Node7 Node7_Name
FUNCTION Function GF000001 Global Functions GF219000 Chief Investments Office GF066400 Investments - AMG GF067130 AIG Investments Other GF067150 Investments Other



FUNCTION Function GF000001 Global Functions GF110000 Finance GF110500 Corporate Finance GF110840 Finance Investment & Other GF110855 Finance Investment Management GF110865 Finance Global Real Estate IM GF110875 AMG/FSD Controllers GRE New
 
 Thanks in advance,
I'm wrecking my brain.
 

Answers (2)