Hybrid Integration 10.2 | Integrating On-Premises Applications | Processing Flat Files | Working with Elements in Flat File Schemas and Dictionaries | Floating Records | Examples: Parsing Inbound Floating Records
 
Examples: Parsing Inbound Floating Records
When the pub.flatFile:convertToValues service receives a document that includes floating records, the parser handles them as shown in the following examples. Assume that the Floating Record property is set to the record NTE.
Example 1
Flat file schema definition
Input EDI document
Output IS document
Rec1
NTE[] Max Occurs 99
Rec2
Rec3
Rec4
Rec5
Rec1
Rec2
Rec3
Rec4
NTE (1)
NTE (2)
NTE (3)
Rec5
Rec1
NTE []
NTE (1)
NTE (2)
NTE (3)
Rec2
Rec3
Rec4
Rec5
In accordance with the schema definition, the parser creates an NTE array as the first record, and places NTE (1), NTE (2), and NTE (3) into it. A validation error is generated if more than 99 NTE records appear in the document. NTE records are not allowed prior to the Rec1 record.
Example 2
Flat file schema definition
Input EDI document
Output IS document
Rec1
NTE [] Max Occurs 99
Rec2 [] Max Occurs 99
NTE [] Max Occurs 99
Rec3
Rec4
Rec5
Rec1
NTE (1)
Rec2
Rec3
NTE (2)
Rec4
NTE (3)
Rec2
NTE (4)
Rec5
NTE (5)
Rec1
NTE []
NTE (1)
NTE (5)
Rec2 []
Rec2
NTE []
NTE (2)
NTE (3)
Rec3
Rec4
Rec2
NTE []
NTE (4)
Rec5
How Example 2 was Parsed
1. The first six records of the EDI document were parsed as follows:
Input EDI document
Output IS document
Rec1
NTE (1)
Rec2
Rec3
NTE (2)
Rec4
Rec1
NTE [] <== NTE container for Rec1.
NTE (1)
Rec2 []
Rec2
NTE [] <== NTE container for Rec2 array.
NTE (2)
Rec3
Rec4
a. The positions of the first three records (Rec1, NTE (1), and Rec2) match the schema. In accordance with the schema definition, the parser:
*Creates an NTE container (an array) under Rec1, and places NTE (1) into it.
*Creates a Rec2 array, and places Rec2 into it.
b. Even though the schema definition says the next record should be an NTE (followed by Rec3), the next record in the document is Rec3 (followed by NTE (2)). This is valid; the parser simply:
*Places Rec3 into the Rec2 array, as specified in the schema definition.
*Creates another NTE container (an array) under Rec2, as specified in the schema definition. To determine which container to put NTE (2) in, he parser looks for the last defined container at the current level. Thus, the parser places NTE (2) in this container.
c. The parser places the next record, Rec4, in the Rec2 array, in accordance with the schema definition.
2. Parsing NTE (3):
Input EDI document
Output IS document
Rec1
NTE (1)
Rec2
Rec3
NTE (2)
Rec4
NTE (3)
Rec1
NTE []
NTE (1)
Rec2 []
Rec2
NTE []
NTE (2)
NTE (3) <== added to this container at
current level
Rec3
Rec4
To determine which container to put NTE (3) in, the parser looks for the last defined container at the current level. Thus, the parser places NTE (3) in the same container as NTE (2).
3. Parsing Rec2 and NTE (4):
Input EDI document
Output IS document
Rec1
NTE (1)
Rec2
Rec3
NTE (2)
Rec4
NTE (3)
Rec2
NTE (4)
Rec1
NTE []
NTE (1)
Rec2 []
Rec2
NTE []
NTE (2)
NTE (3)
Rec3
Rec4
Rec2
NTE [] <== creates an NTE container for
second Rec2
NTE (4)
In accordance with the schema definition, the parser adds another Rec2 to the Rec2 array. Just as with the first Rec2 in the array, the parser also creates another NTE container, for the second Rec2.
4. Parsing Rec5 and NTE (5):
Input EDI document
Output IS document
Rec1
NTE (1)
Rec2
Rec3
NTE (2)
Rec4
NTE (3)
Rec2
NTE (4)
Rec5
NTE (5)
Rec1
NTE []
NTE (1)
NTE (5) <== this container is same level as
Rec5 (current level)
Rec2 []
Rec2
NTE []
NTE (2)
NTE (3)
Rec3
Rec4
Rec2
NTE []
NTE (4)
Rec5
a. In accordance with the schema definition, the parser places Rec5 under Rec1.
b. To determine which container to put NTE (5) in, the parser looks for the last defined container at the current level. Thus, the parser places NTE (5) in the same container as NTE (1).

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