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$bitsAllClear
$bitsAllClear
matches documents where all of the bit positions given by the query are clear (i.e. 匹配0
) in field
.field
中查询给出的所有位位置都是清除(即0)的文档。
{ <field>: { $bitsAllClear: <numeric bitmask> } } |
{ <field>: { $bitsAllClear: < BinData bitmask> } } |
{ <field>: { $bitsAllClear: [ <position1>, <position2>, ... ] } } |
The field
value must be either numeric or a BinData instance. field
值必须是数字或BinData
实例。Otherwise, 否则,$bitsAllClear
will not match the current document.$bitsAllClear
将与当前文档不匹配。
$bitsAllClear
will return an error.$bitsAllClear
将返回错误。BinData
实例作为位掩码。<position>
must be a non-negative integer. <position>
必须是非负整数。0
from the least significant bit. 0
开始。254
would have the following bit positions:254
将具有以下位位置:Bit Value | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
---|---|---|---|---|---|---|---|---|
Position | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 0 |
Queries cannot use indexes for the 查询不能对查询的$bitsAllClear
portion of a query, although the other portions of a query can use indexes, if applicable.$bitsAllClear
部分使用索引,尽管查询的其他部分可以使用索引(如果适用)。
$bitsAllClear
will not match numerical values that cannot be represented as a signed 64-bit integer. 将与不能表示为带符号64位整数的数值不匹配。This can be the case if a value is either too large or too small to fit in a signed 64-bit integer, or if it has a fractional component.如果一个值太大或太小而无法放入带符号的64位整数,或者它有一个分数分量,则会出现这种情况。
Numbers are sign extended. 数字是符号扩展的。For example, 例如,$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
.$bitsAllClear
认为位位置200
是为负数-5
设置的,而位位置200则是为正数+5
设置的。
In contrast, BinData instances are zero-extended. 相反,BinData实例是零扩展的。For example, given the following document:例如,给定以下文档:
db.collection.save({ x: BinData(0, "ww=="), binaryValueofA: "11000011" })
$bitsAllClear
will consider all bits outside of 将认为x
to be clear.x
以外的所有位都是清除的。
The following examples will use a collection with the following documents:以下示例将使用包含以下文档的集合:
db.collection.save({ _id: 1, a: 54, binaryValueofA: "00110110" }) db.collection.save({ _id: 2, a: 20, binaryValueofA: "00010100" }) db.collection.save({ _id: 3, a: 20.0, binaryValueofA: "00010100" }) db.collection.save({ _id: 4, a: BinData(0, "Zg=="), binaryValueofA: "01100110" })
The following query uses the 以下查询使用$bitsAllClear
operator to test whether field a
has bits clear at position 1
and position 5
, where the least significant bit is position 0
.$bitsAllClear
运算符测试字段a
在位置1
和位置5
是否有位清除,其中最低有效位为位置0
。
db.collection.find( { a: { $bitsAllClear: [ 1, 5 ] } } )
The query matches the following documents:查询匹配以下文档:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }
The following query uses the 以下查询使用$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
).$bitsAllClear
运算符测试字段a在位置0
、1
和5
处是否有位清除(位掩码35
的二进制表示形式为00100011
)。
db.collection.find( { a: { $bitsAllClear: 35 } } )
The query matches the following documents:查询匹配以下文档:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }
The following query uses the 以下查询使用$bitsAllClear
operator:$bitsAllClear
运算符:
db.collection.find( { a: { $bitsAllClear: BinData(0, "ID==") } } )
The query:该查询:
0
as the first value for BinData
, which indicates ID==
is to be interpreted as binary. 0
指定为BinData
的第一个值,这表示ID==
将被解释为二进制。ID==
in binary is 00100000
, which has 1
in position 5.ID==
为00100000
,在位置5中有1
。$bitsAllClear
to return documents where the a
field has a clear bit 0
in position 5 of the binary value.$bitsAllClear
返回a
字段在二进制值的位置5
中具有清除位0
的文档。The query returns the following documents:查询返回以下文档:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20, "binaryValueofA" : "00010100" }