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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" }