$bitsAnyClear$bitsAnyClearmatches documents where any of the bit positions given by the query are clear (i.e.0) infield.{ <field>: { $bitsAnyClear: <numeric bitmask> } }{ <field>: { $bitsAnyClear: <BinDatabitmask> } }{ <field>: { $bitsAnyClear: [ <position1>, <position2>, ... ] } }The
fieldvalue must be either numeric or aBinDatainstance. Otherwise,$bitsAnyClearwill not match the current document.- 数字位掩码
- You can provide a numeric bitmask to be matched against the operand field. The bitmask must be a non-negative 64-bit signed integer. Otherwise,
$bitsAnyClearreturns an error. - BinData Bitmask
- 您也可以使用任意大的
BinData实例作为位掩码。 - 位置列表
- 如果查询位位置列表,每个
<position>必须是非负整数。位位置从最低有效位0开始。例如,十进制数254的位数位置如下:
位值11111110Position
7
6
5
4
3
2
1
0
行为
系统的字节序取决于机器的架构。 BSON数据中的数字始终存储为小端,如果您的系统是大端,这意味着数字数据会在大端和小端之间转换。
在位测试匹配表达式操作符的上下文中:
BinData 值充当 位掩码,并被解释为任意长度的无符号小端数字。最低可寻址字节始终被解释为最低有效字节。同样,BinData 中的最高可寻址字节始终被解释为最高有效字节。
索引
Queries cannot use indexes for the $bitsAnyClear portion of a query, although the other portions of a query can use indexes, if applicable.
浮点值
$bitsAnyClear 不会匹配无法表示为带符号的 64 位整数的数值。如果某个值太大或太小,超出带符号 64 位整数的范围,或者该值包含小数部分,则可能会出现这种情况。
符号扩展
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.
相反,BinData 实例是零扩展的。例如,给定以下文档:
db.collection.insertOne({ x: BinData(0, "ww=="), binaryValueofA: "11000011" })
$bitsAnyClear will consider all bits outside of x to be clear.
示例
下面的示例将使用包含以下文档的集合:
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" } ])
位位置数组
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 ] } } )
查询匹配以下文档:
{ "_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 } } )
查询匹配以下文档:
{ "_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, "MA==") is 00110000).
db.collection.find( { a: { $bitsAnyClear: BinData(0, "MA==") } } )
查询匹配以下文档:
{ "_id" : 2, "a" : 20, "binaryValueofA" : "00010100" } { "_id" : 3, "a" : 20.0, "binaryValueofA" : "00010100" } { "_id" : 4, "a" : BinData(0,"Zg=="), "binaryValueofA" : "01100110" }