Answer / shankar

Once you have declared the possible record types as field groups and defined their structure, you can fill the extract dataset using the following statements:

EXTRACT <fg>.

When the first EXTRACT statement occurs in a program, the system creates the extract dataset and adds the first extract record to it. In each subsequent EXTRACT statement, the new extract record is added to the dataset.

Each extract record contains exactly those fields that are contained in the field group <fg>, plus the fields of the field group HEADER (if one exists). The fields from HEADER occur as a sort key at the beginning of the record. If you do not explicitly specify a field group <fg>, the EXTRACT statement is a shortened form of the statement extracts used in field groups (version 2.x - obsolete these days as noone uses field groups anymore), and collect is used to accumulate the contents of a field if X no. of keys are the same.

EXTRACT HEADER.

When you extract the data, the record is filled with the current values of the corresponding fields. As soon as the system has processed the first EXTRACT statement for a field group <fg>, the structure of the corresponding extract record in the extract dataset is fixed. You can no longer insert new fields into the field groups <fg> and HEADER. If you try to modify one of the field groups afterwards and use it in another EXTRACT statement, a runtime error occurs.

By processing EXTRACT statements several times using different field groups, you fill the extract dataset with records of different length and structure. Since you can modify field groups dynamically up to their first usage in an EXTRACT statement, extract datasets provide the advantage that you need not determine the structure at the beginning of the program.

Answer / sapna

A field group does not reserve storage space for the
fields, but contains pointers to existing fields.> Internal
take up memory. Depending on how much memory your system
has . Once you have declared the possible record types as
field groups and defined their structure, you can fill the
extract dataset using the following statements: EXTRACT.
When the first EXTRACT statement occurs in a program, the
system creates the extract dataset and adds the first
extract record to it. In each subsequent EXTRACT statement,
the new extract record is added to the dataset EXTRACT
HEADER. When you extract the data, the record is filled
with the current values of the corresponding fields. As
soon as the system has processed the first EXTRACT
statement for a field group , the structure of the
corresponding extract record in the extract dataset is
fixed. You can no longer insert new fields into the field
groups and HEADER. If you try to modify one of the field
groups afterwards and use it in another EXTRACT statement,
a runtime error occurs. By processing EXTRACT statements
several times using different field groups, you fill the
extract dataset with records of different length and
structure. Since you can modify field groups dynamically up
to their first usage in an EXTRACT statement, extract
datasets provide the advantage that you need not determine
the structure at the beginning of the program.

Answer / chakresh kumar

An extract dataset consists of a sequence of records. These records may have different structures. All records with the same structure form a record type. You must define each record type of an extract dataset as a field group, using the FIELD-GROUPS statement.

When the first EXTRACT statement occurs in a program, the system creates the extract dataset and adds the first extract record to it. In each subsequent EXTRACT statement, the new extract record is added to the dataset.

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