$bitsAnyClear
$bitsAnyClear
$bitsAnyClear
matches documents where any of the bit positions given by the query are clear (i.e.0
) infield
.{ <field>: { $bitsAnyClear: <numeric bitmask> } }
{ <field>: { $bitsAnyClear: [ <position1>, <position2>, ... ] } }
The
field
value must be either numeric or aBinData
instance. Otherwise,$bitsAnyClear
will not match the current document.- Numeric Bitmask
- You can provide a numeric bitmask to be matched against the operand field.
It must be representable as a non-negative 32-bit signed integer. Otherwise,
$bitsAnyClear
will return an error. - BinData Bitmask
- You can also use an arbitrarily large
BinData
instance as a bitmask. - Position List
- If querying a list of bit positions, each
<position>
must be a non-negative integer. Bit positions start at0
from the least significant bit. For example, the decimal number254
would have the following bit positions:
Bit Value11111110Position76543210
Behavior
Indexes
Queries cannot use indexes for the $bitsAnyClear
portion of a
query, although the other portions of a query can use indexes, if
applicable.
Floating Point Values
$bitsAnyClear
will not match numerical values that cannot be represented as
a signed 64-bit integer. This can be the case if a value is either too large
or too small to fit in a signed 64-bit integer, or if it has a fractional
component.
Sign Extension
Numbers are sign extended. For example, $bitsAnyClear
considers bit position 200
to be set for the negative number -5
, but bit position 200
to be clear
for the positive number +5
.
In contrast, BinData
instances are zero-extended.
For example, given the following document:
db.collection.insertOne({ x: BinData(0, "ww=="), binaryValueofA: "11000011" })
$bitsAnyClear
will consider all bits outside of x
to be clear.
Examples
The following examples will use a collection with the following documents:
db.collection.insertMany([ { _id: 1, a: 54, binaryValueofA: "00110110" }, { _id: 2, a: 20, binaryValueofA: "00010100" }, { _id: 3, a: 20.0, binaryValueofA: "00010100" }, { _id: 4, a: BinData(0, "Zg=="), binaryValueofA: "01100110" } ])
Bit Position Array
The following query uses the $bitsAnyClear
operator to test
whether field a
has either bit position 1
or bit position 5
clear,
where the least significant bit is position 0
.
db.collection.find( { a: { $bitsAnyClear: [ 1, 5 ] } } )
The query matches the following documents:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20.0, "binaryValueofA" : "00010100" }
Integer Bitmask
The following query uses the $bitsAnyClear
operator to test
whether field a
has any bits clear at positions 0
, 1
, and 5
(the binary representation of the bitmask 35
is 00100011
).
db.collection.find( { a: { $bitsAnyClear: 35 } } )
The query matches the following documents:
{ "_id" : 1, "a" : 54, "binaryValueofA" : "00110110" } { "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20.0, "binaryValueofA" : "00010100" } { "_id" : 4, "a" : BinData(0,"Zg=="), "binaryValueofA" : "01100110" }
BinData Bitmask
The following query uses the $bitsAnyClear
operator to test
whether field a
has any bits clear at positions 4
and 5
(the binary representation of BinData(0, "MC==")
is 00110000
).
db.collection.find( { a: { $bitsAnyClear: BinData(0, "MC==") } } )
The query matches the following documents:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20.0, "binaryValueofA" : "00010100" } { "_id" : 4, "a" : BinData(0,"Zg=="), "binaryValueofA" : "01100110" }