Range
Range( set, from, to )
Range( set, from, to )
Range( set, from, to )
Range( set, from, to )
range( set, from, to )
Not available in this language yet.
Range( set, from, to )
Not available in this language yet.
Description
The Range
function returns an inclusive subset of the values from the
provided set
that includes the range of values starting from from
up
to to
, as defined by the order of the set
.
Items in a set can be single, scalar values, or can be tuples containing a variety of values of different types.
from
and to
are expressed as prefixes that need to match some, or
all, of the structure provided by the set
, or Range
returns an empty
set. Prefix-based matching means that, if your set contains two or more
fields, you only need to specify the first field in from
or to
to
achieve a match. You may have to specify additional fields if there are
multiple entries in the set that would match the first field.
For example, if an index’s values
field contains last
and first
fields, from
or to
can be expressed as just a last
name, or an
array containing the last and first names to mark a boundary of the
range.
When from
or to
match an entry in the set
, that’s where the
boundary for the range is set; no further evaluation is done.
Both from
and to
can be expressed as an empty array, which
indicates that the range should extend to, respectively, the set’s first
item, or the set’s last item. If both from
and to
are expressed as
an empty arrange, the entire range is returned.
If you use Range on a collection containing many documents,
there is a chance that evaluating the range could exceed the
transaction time limit of 30 seconds.
|
Parameters
Argument | Type | Definition and Requirements |
---|---|---|
|
The set |
|
|
Value, or Array of values |
The value(s) marking the start of the range to return. Use an empty array to indicate that |
|
Value, or Array of values |
The value(s) marking the end of the range to return. Use an empty array to indicate that |
Examples
With a collection containing the letters of the alphabet, and an index
with a values
field defined to contain each document’s letter
field,
the following query returns the range of values from F
to M
:
Value result = await client.Query(
Paginate(
Range(Match(Index("letters")), "F", "M")
)
);
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("letters")),
"F", "M")))
System.out.println(
client.query(
Paginate(
Range(Match(Index("letters")), Value("F"), Value("M"))
)
).get());
client.query(
q.Paginate(
q.Range(q.Match(q.Index('letters')), 'F', 'M')
)
)
.then((ret) => console.log(ret))
print(client.query(
q.paginate(
q.range(q.match(q.index("letters")), "F", "M")
)
))
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(Match(Index("letters")), "F", "M")
)
),
5.seconds
))
Not available in this language yet.
{
"object": {
"data": [
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M"
]
}
}
map[data:[F G H I J K L M]]
{data: ["F", "G", "H", "I", "J", "K", "L", "M"]}
{ data: [ 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M' ] }
{'data': ['F', 'G', 'H', 'I', 'J', 'K', 'L', 'M']}
{data: ["F", "G", "H", "I", "J", "K", "L", "M"]}
With the same setup, the following query returns all of the letters up
to, and including, M
:
Value result = await client.Query(
Paginate(
Range(Match(Index("letters")), Arr(), "M")
)
);
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("letters")),
f.Arr{}, "M")))
System.out.println(
client.query(
Paginate(
Range(Match(Index("letters")), Arr(), Value("M"))
)
).get());
client.query(
q.Paginate(
q.Range(q.Match(q.Index('letters')), [], 'M')
)
)
.then((ret) => console.log(ret))
print(client.query(
q.paginate(
q.range(q.match(q.index("letters")), [], "M")
)
))
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(Match(Index("letters")), Arr(), "M")
)
),
5.seconds
))
Not available in this language yet.
{
"object": {
"data": [
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M"
]
}
}
map[data:[A B C D E F G H I J K L M]]
{data: ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M"]}
{ data:
[ 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M' ] }
{'data': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M']}
{data: ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M"]}
With the same setup, the following query returns F
and all of the
subsequent letters:
Value result = await client.Query(
Paginate(
Range(Match(Index("letters")), "F", Arr())
)
);
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("letters")),
"F", f.Arr{})))
System.out.println(
client.query(
Paginate(
Range(Match(Index("letters")), Value("F"), Arr())
)
).get());
client.query(
q.Paginate(
q.Range(q.Match(q.Index('letters')), 'F', [])
)
)
.then((ret) => console.log(ret))
print(client.query(
q.paginate(
q.range(q.match(q.index("letters")), "F", [])
)
))
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(Match(Index("letters")), "F", Arr())
)
),
5.seconds
))
Not available in this language yet.
{
"object": {
"data": [
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M",
"N",
"O",
"P",
"Q",
"R",
"S",
"T",
"U",
"V",
"W",
"X",
"Y",
"Z"
]
}
}
map[data:[F G H I J K L M N O P Q R S T U V W X Y Z]]
{data: ["F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]}
{ data:
[ 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P',
'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z' ] }
{'data': ['F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O',
'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']}
{data: ["F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]}
The schema setup is not documented here. Most of what you need to make this example work is included in the Index tutorials, including the creation of the collection and the creation of the letters documents. You would need to create an appropriate index, which should look like this:
|
With a collection containing people, with first and last names, and an
index with a values
field defined to contain the last
and first
fields, the following query returns all of the people from Hopper
to
Minsky
:
Value result = await client.Query(
Paginate(
Range(
Match(Index("people_by_last_first")), "Hopper", "Minsky"
)
)
);
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("people_by_last_first")),
"Hopper", "Minksy")))
System.out.println(
client.query(
Paginate(
Range(
Match(Index("people_by_last_first")),
Value("Hopper"), Value("Minsky")
)
)
).get());
client.query(
q.Paginate(
q.Range(
q.Match(q.Index('people_by_last_first')), 'Hopper', 'Minsky'
)
)
)
.then((ret) => console.log(ret))
print(client.query(
q.paginate(
q.range(
q.match(q.index("people_by_last_first")), "Hopper", "Minsky"
)
)
))
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(Match(Index("people_by_last_first")), "Hopper", "Minsky")
)
),
5.seconds
))
Not available in this language yet.
{
"object": {
"data": [
[
"Hopper",
"Grace"
],
[
"Lamport",
"Leslie"
],
[
"Minsky",
"Marvin"
]
]
}
}
ap[data:[[Hopper Grace] [Lamport Leslie]]]
{data: [["Hopper", "Grace"], ["Lamport", "Leslie"], ["Minsky", "Marvin"]]}
{ data:
[ [ 'Hopper', 'Grace' ],
[ 'Lamport', 'Leslie' ],
[ 'Minsky', 'Marvin' ] ] }
{'data': [['Hopper', 'Grace'], ['Lamport', 'Leslie'], ['Minsky', 'Marvin']]}
{data: [["Hopper", "Grace"], ["Lamport", "Leslie"], ["Minsky", "Marvin"]]}
See the Index tutorials for the setup
of the
|
With a collection containing people, with age, and first and last names,
and an index with a values
field defined to contain the age
and
first
fields, the following query returns all of the people from 80,
Leslie
to 92, Marvin
:
Not available in this language yet.
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("people_by_age_first")),
f.Arr{80, "Leslie"},
f.Arr{92, "Marvin"})))
System.out.println(
client.query(
Paginate(
Range(
Match(Index("people_by_age_first")),
Arr(Value(80), Value("Leslie")),
Arr(Value(92), Value("Marvin"))
)
)
).get()
);
client.query(
q.Paginate(
q.Range(
q.Match(q.Index('people_by_age_first')),
[80, 'Leslie'],
[92, 'Marvin'],
)
)
)
.then((ret) => console.log(ret))
Not available in this language yet.
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(
Match(Index("people_by_age_first")),
Arr(80, "Leslie"),
Arr(92, "Marvin")
)
)
),
5.seconds
))
Not available in this language yet.
map[data:[[80 Leslie] [81 Stephen] [92 Marvin]]]
{data: [[80, "Leslie"], [81, "Stephen"], [92, "Marvin"]]}
{ data: [ [ 80, 'Leslie' ], [ 81, 'Stephen' ], [ 92, 'Marvin' ] ] }
{data: [[80, "Leslie"], [81, "Stephen"], [92, "Marvin"]]}
If we repeat the query, but only use the person’s age in the range, the same result is returned:
Not available in this language yet.
result, err := client.Query(
f.Paginate(
f.Range(
f.Match(
f.Index("people_by_age_first")),
f.Arr{80},
f.Arr{92})))
System.out.println(
client.query(
Paginate(
Range(
Match(Index("people_by_age_first")),
Arr(Value(80)),
Arr(Value(92))
)
)
).get()
);
client.query(
q.Paginate(
q.Range(
q.Match(q.Index('people_by_age_first')),
[80],
[92],
)
)
)
.then((ret) => console.log(ret))
Not available in this language yet.
Not available in this language yet.
println(Await.result(
client.query(
Paginate(
Range(
Match(Index("people_by_age_first")),
Arr(80),
Arr(92)
)
)
),
5.seconds
))
Not available in this language yet.
map[data:[[80 Leslie] [81 Stephen] [92 Marvin]]]
{data: [[80, "Leslie"], [81, "Stephen"], [92, "Marvin"]]}
{ data: [ [ 80, 'Leslie' ], [ 81, 'Stephen' ], [ 92, 'Marvin' ] ] }
{data: [[80, "Leslie"], [81, "Stephen"], [92, "Marvin"]]}
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