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$bitsAllClear
$bitsAllClear
$bitsAllClear
matches documents where all of the bit positions given by the query are clear (i.e.0
) infield
.{ <field>: { $bitsAllClear: <numeric bitmask> } }
{ <field>: { $bitsAllClear: <
BinDatabitmask> } }
{ <field>: { $bitsAllClear: [ <position1>, <position2>, ... ] } }
The
field
value must be either numeric or a BinData instance. Otherwise,$bitsAllClear
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,
$bitsAllClear
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 $bitsAllClear
portion of a
query, although the other portions of a query can use indexes, if
applicable.
Floating Point Values
$bitsAllClear
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, $bitsAllClear
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.save({ x: BinData(0, "ww=="), binaryValueofA: "11000011" })
$bitsAllClear
will consider all bits outside of x
to be clear.
Examples
The following examples will use a collection with the following documents:
db.collection.save({ _id: 1, a: 54, binaryValueofA: "00110110" }) db.collection.save({ _id: 2, a: 20, binaryValueofA: "00010100" }) db.collection.save({ _id: 3, a: 20.0, binaryValueofA: "00010100" }) db.collection.save({ _id: 4, a: BinData(0, "Zg=="), binaryValueofA: "01100110" })
Bit Position Array
The following query uses the $bitsAllClear
operator to test
whether field a
has bits clear at position 1
and position
5
, where the least significant bit is position 0
.
db.collection.find( { a: { $bitsAllClear: [ 1, 5 ] } } )
The query matches the following documents:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }
Integer Bitmask
The following query uses the $bitsAllClear
operator to test
whether field a
has bits clear at positions 0
, 1
, and 5
(the binary representation of the bitmask 35
is 00100011
).
db.collection.find( { a: { $bitsAllClear: 35 } } )
The query matches the following documents:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }
BinData Bitmask
The following query uses the $bitsAllClear
operator:
db.collection.find( { a: { $bitsAllClear: BinData(0, "ID==") } } )
The query:
Specifies
0
as the first value forBinData
, which indicatesID==
is to be interpreted as binary. The base-64 valueID==
in binary is00100000
, which has1
in position 5.Uses
$bitsAllClear
to return documents where thea
field has a clear bit0
in position 5 of the binary value.
The query returns the following documents:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }