
Compound
Data
Items
IMA
GE
allo
ws
the
data
base
designer
to
sp ecify
comp ound
data
items.
A
comp ound
data
item
is
one
that
o ccurs
more
than
once
in
the
same
data
en
try
.
Eac
h
o ccurrence
of
the
data
item
is
called
a
sub-item.
Eac
h
sub-item
can
ha
v
e
a
v
alue,
and
QUER
Y
can
lo
cate
and
up date
an
y
or
all
sub-items.
If
y
ou
up date
only
the
rst
sub-item,
QUER
Y
preserv
es
the
existing
v
alues
of
all
other
sub-items.
Data
Set
Relations
There
are
three
t
yp es
of
IMA
GE
data
sets:
manual
master,
automatic
master,
and
detail.
Master
data
sets
are
related
to
detail
data
set
through
sp ecic
items
called
searc
h
(or
k
ey)
items.
The
F
ORM
command
iden
ties
the
data
set
t
yp e
and
searc
h
items.
The
data
base
designer
can
sp ecify
one
or
more
sort
items.
These
items
are
also
iden
tied
b
y
the
F
ORM
command.
As
a
QUER
Y
user,
it
is
not
necessary
to
understand
the
function
of
sort
items.
If
y
ou
w
an
t
to
kno
w
more
ab out
data
set
relations
and
sort
items,
refer
to
the
IMAGE
R
efer
enc
e
Manual
description
of
the
data
base
structure.
Sample
Data
Base
Figure
1-1
and
Figure
1-2
illustrate
a
sample
data
base
named
ORDERS.
The
data
base
is
used
in
man
y
examples
in
this
man
ual.
It
con
tains
six
data
sets.
The
four
master
data
sets
are
sho
wn
in
the
cen
ter
column
and
the
detail
data
sets
on
the
sides.
CUSTOMER
con
tains
information
ab out
eac
h
customer.
SUP-MASTER
con
tains
information
ab out
eac
h
supplier.
PR
ODUCT
con
tains
information
ab out
eac
h
pro duct.
D
A
TE-MASTER
is
an
index
of
dates
and
can
b e
used
to
retrieve
information
b
y
date
from
the
SALES
or
INVENTOR
Y
data
sets.
SALES
con
tains
credit
and
purc
hase
information.
INVENTOR
Y
con
tains
pro duct
supply
information.
Both
gures
sho
w
a
single
en
try
for
eac
h
data
set.
Figure
1-1
con
tains
the
data
item
names,
and
Figure
1-2
con
tains
a
sample
of
the
v
alues
in
one
en
try
.
The
arrows
in
b oth
gures
illustrate
the
relationship
of
the
data
sets
through
searc
h
items.
1-6
INTRODUCING
QUERY/V
Summary of Contents for QUERY
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