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Usdt blockchain wallet query
Publish: 2021-04-18 00:28:18
1. In order to understand the blockchain wallet, we must first understand several core concepts
1. Wallet address: similar to the bank card number, a person can have multiple bank cards. Similarly, he can also have multiple wallet addresses. A wallet address can only correspond to one private key
2. Wallet ID: customer ID (name) similar to bank card
3. Public key and private key: the holder of the private key is the holder of the currency in the bank card. The private key can calculate the public key, the public key can generate the wallet address through a series of digital signatures, and the data encrypted by the private key can be decrypted by the public key, or vice versa
I know this area quite well, and I have some ideas to develop a blockchain wallet. After all, it is a high-tech wallet. Before I learned about a development company called Xuanling technology on the Internet, and also consulted the people over there. I felt that it was quite professional. I hope I can help you~
1. Wallet address: similar to the bank card number, a person can have multiple bank cards. Similarly, he can also have multiple wallet addresses. A wallet address can only correspond to one private key
2. Wallet ID: customer ID (name) similar to bank card
3. Public key and private key: the holder of the private key is the holder of the currency in the bank card. The private key can calculate the public key, the public key can generate the wallet address through a series of digital signatures, and the data encrypted by the private key can be decrypted by the public key, or vice versa
I know this area quite well, and I have some ideas to develop a blockchain wallet. After all, it is a high-tech wallet. Before I learned about a development company called Xuanling technology on the Internet, and also consulted the people over there. I felt that it was quite professional. I hope I can help you~
2. The transaction direction of bitcoin can be queried. Bitcoin transactions will be recorded on the bitcoin blockchain to find out the liquidity of bitcoin and from which wallet to which wallet. However, you only know which wallet is transferred to, and you don't know who the wallet belongs to. Bitcoin is both transparent and anonymous. Transactions and flows are public and will be recorded, but the person who trades is anonymous. Some scholars found that through the flow of bitcoin, transaction users can be found. They need to use certain technical means, and it is particularly troublesome. At present, it is only in the theoretical stage.
3. Hello, this is linked to US dollars. One usdt equals one US dollar
4. The following calculation methods can be used:
for example: microcomputer Z_ If the clock frequency of 80cpu is f = 2.5MHz, its clock cycle T = 1 / F = 1 / 2.5MHz = 400 nanoseconds (t is the basic beat of computer operation), and its shortest instruction execution time is 4T = 4 × If 400 ns = 1.6 ns, the operation speed is:
V = 1 / 4T = 1 / 1.6 × 10-6 seconds = 0.625 × 106 times / S = 625000 times / s
another example: Z_ If the clock frequency of 80A is f = 4MHz, the clock cycle T = 1 / F = 1 / 4 × 106hz = 0.25 microseconds
the shortest instruction execution time is 4T = 4 × 25 μ s = 1 μ s
then the operation speed is: v = 1 / 1 microsecond = 1 million times / second
computing speed is an important index of computer performance
commonly referred to as computer operation speed (average operation speed), the abbreviation of average execution speed of single word fixed-point instructions MIPS (million instructions per second), the number of million machine language instructions processed per second
this is a measure of CPU speed
for example, an Intel 80386 computer can process 3 to 5 million machine language instructions per second, that is to say, 80386 is a CPU with 3 to 5 MIPs
MIPS is only a measure of CPU performance
refers to the number of instructions that can be executed per second, which is generally described as "million instructions per second"
microcomputer generally uses dominant frequency to describe the operation speed. The higher the dominant frequency is, the faster the operation speed is
the CPU frequency of a computer, which generally means the main frequency of the CPU, is regarded as the engine of a car
computing speed is equivalent to the performance of this computer, which is regarded as an indicator of how fast a car can run
how fast a car can run has something to do with the road, tires, frame, etc
computing speed is the result of a multi unit cooperation, which is related to cache, data width, instruction structure, etc.
computer running speed, architecture and dominant frequency. The better the architecture optimization, the higher the dominant frequency, the better the performance
the main frequency is limited by architecture, technology and materials
the relationship between them is quite complicated. For example, the dominant frequency of Ben 4 easily exceeds 3GHz and fails to impact 4GHz. However, the highest frequency of Ben 4 is also a slag in front of the next generation of core, which is less than 2GHz. The actual running speed is far from satisfactory
therefore, the main frequency of CPU is not directly related to the speed, but it is basically positively related, that is, the larger the main frequency is, the faster the operation speed is, because the main frequency is the number of beats per second of the clock, just like the heart. The CPU will work only when it is at a high level, so to some extent, the larger the main frequency is, the faster the operation speed is.
for example: microcomputer Z_ If the clock frequency of 80cpu is f = 2.5MHz, its clock cycle T = 1 / F = 1 / 2.5MHz = 400 nanoseconds (t is the basic beat of computer operation), and its shortest instruction execution time is 4T = 4 × If 400 ns = 1.6 ns, the operation speed is:
V = 1 / 4T = 1 / 1.6 × 10-6 seconds = 0.625 × 106 times / S = 625000 times / s
another example: Z_ If the clock frequency of 80A is f = 4MHz, the clock cycle T = 1 / F = 1 / 4 × 106hz = 0.25 microseconds
the shortest instruction execution time is 4T = 4 × 25 μ s = 1 μ s
then the operation speed is: v = 1 / 1 microsecond = 1 million times / second
computing speed is an important index of computer performance
commonly referred to as computer operation speed (average operation speed), the abbreviation of average execution speed of single word fixed-point instructions MIPS (million instructions per second), the number of million machine language instructions processed per second
this is a measure of CPU speed
for example, an Intel 80386 computer can process 3 to 5 million machine language instructions per second, that is to say, 80386 is a CPU with 3 to 5 MIPs
MIPS is only a measure of CPU performance
refers to the number of instructions that can be executed per second, which is generally described as "million instructions per second"
microcomputer generally uses dominant frequency to describe the operation speed. The higher the dominant frequency is, the faster the operation speed is
the CPU frequency of a computer, which generally means the main frequency of the CPU, is regarded as the engine of a car
computing speed is equivalent to the performance of this computer, which is regarded as an indicator of how fast a car can run
how fast a car can run has something to do with the road, tires, frame, etc
computing speed is the result of a multi unit cooperation, which is related to cache, data width, instruction structure, etc.
computer running speed, architecture and dominant frequency. The better the architecture optimization, the higher the dominant frequency, the better the performance
the main frequency is limited by architecture, technology and materials
the relationship between them is quite complicated. For example, the dominant frequency of Ben 4 easily exceeds 3GHz and fails to impact 4GHz. However, the highest frequency of Ben 4 is also a slag in front of the next generation of core, which is less than 2GHz. The actual running speed is far from satisfactory
therefore, the main frequency of CPU is not directly related to the speed, but it is basically positively related, that is, the larger the main frequency is, the faster the operation speed is, because the main frequency is the number of beats per second of the clock, just like the heart. The CPU will work only when it is at a high level, so to some extent, the larger the main frequency is, the faster the operation speed is.
5. The smallest unit of bitcoin is "cong"
1btc = 1000, 1 = 1000, 1 = 1000 Cong
1btc = 1000, 1 = 1000, 1 = 1000 Cong
6. In the actual development, we often encounter some situations like this,
(1) in the case of sudden high concurrency, when the server is under great pressure and calls some methods for more than 100ms and does not respond, we should automatically reject the service instead of blocking until the server crashes, It can be regarded as a disguised service degradation
(2) for the unpredictable code that may have deadlock, add time threshold limit to avoid unlimited resource competition
(3) for the unpredictable code that may have deadlock, add time threshold monitoring, Avoid dead cycle deterioration
some mature open source frameworks generally have the function of timeout response, such as
search framework: Lucene, Solr, elasticsearch,
RPC framework: Dubbo, thrift,
service coordination framework: zookeeper, etc.
if we want to add this function, what should we do
in fact, it's not difficult to add a timing function before and after the method call. If the threshold is exceeded, the thread should be terminated actively and the exception code should be thrown. Of course, in order not to affect the operation of the main service, this code should run independently in a sub thread, rather than coupled in the main thread. The idea is roughly the same. Of course, in order not to build a wheel repeatedly, we suggest to use Google's open source guava toolkit, which provides many useful functions, including the automatic termination of timeout method introced this time, and some functions to limit network traffic or the number of visits within a specified period of time, You can see guava's documentation for yourself<
timelimiter is an interface. There are two subclasses below,
faketimelimiter, which is often used to limit time-out debugging ring debugging.
simpletimelimiter is often used in formal methods, which call method time-out, that is, throw exception.
this paper focuses on the use of simpletimelimiter, There are mainly two methods in this class:
(1) newproxy implements timeout interception through JDK dynamic proxy and callwithtimeout
(2) callwithtimeout implements timeout interception through callable callback
the difference between the two methods lies in that the strategy implemented through proxy can be applied to every called method in this class, The implementation of timeout interception
and the implementation strategy through callback is applicable to the implementation of timeout interception only for a certain code block or method
introce the latest guava package through Maven:
java code
& lt; dependency> < br /> < groupId> com.google.guava</ groupId> < br /> < artifactId> guava</ artifactId> < br /> < version> 19.0</ version> < br /> </ dependency> <
A: Interception Based on proxy mode:
since guava uses JDK dynamic proxy to implement AOP interception, it requires that the proxy class must have an interface implementation, so it's a little troublesome to use.
we need to define an interface first, then define the implementation class, and rewrite the method to be called:
b: callback based usage, which is relatively simple, Because there is no need to use proxy mode,
both methods can implement method call timeout interruption, proxy mode is suitable for class level method timeout interruption, while callback based mode is more suitable for any single method.
(1) in the case of sudden high concurrency, when the server is under great pressure and calls some methods for more than 100ms and does not respond, we should automatically reject the service instead of blocking until the server crashes, It can be regarded as a disguised service degradation
(2) for the unpredictable code that may have deadlock, add time threshold limit to avoid unlimited resource competition
(3) for the unpredictable code that may have deadlock, add time threshold monitoring, Avoid dead cycle deterioration
some mature open source frameworks generally have the function of timeout response, such as
search framework: Lucene, Solr, elasticsearch,
RPC framework: Dubbo, thrift,
service coordination framework: zookeeper, etc.
if we want to add this function, what should we do
in fact, it's not difficult to add a timing function before and after the method call. If the threshold is exceeded, the thread should be terminated actively and the exception code should be thrown. Of course, in order not to affect the operation of the main service, this code should run independently in a sub thread, rather than coupled in the main thread. The idea is roughly the same. Of course, in order not to build a wheel repeatedly, we suggest to use Google's open source guava toolkit, which provides many useful functions, including the automatic termination of timeout method introced this time, and some functions to limit network traffic or the number of visits within a specified period of time, You can see guava's documentation for yourself<
timelimiter is an interface. There are two subclasses below,
faketimelimiter, which is often used to limit time-out debugging ring debugging.
simpletimelimiter is often used in formal methods, which call method time-out, that is, throw exception.
this paper focuses on the use of simpletimelimiter, There are mainly two methods in this class:
(1) newproxy implements timeout interception through JDK dynamic proxy and callwithtimeout
(2) callwithtimeout implements timeout interception through callable callback
the difference between the two methods lies in that the strategy implemented through proxy can be applied to every called method in this class, The implementation of timeout interception
and the implementation strategy through callback is applicable to the implementation of timeout interception only for a certain code block or method
introce the latest guava package through Maven:
java code
& lt; dependency> < br /> < groupId> com.google.guava</ groupId> < br /> < artifactId> guava</ artifactId> < br /> < version> 19.0</ version> < br /> </ dependency> <
A: Interception Based on proxy mode:
since guava uses JDK dynamic proxy to implement AOP interception, it requires that the proxy class must have an interface implementation, so it's a little troublesome to use.
we need to define an interface first, then define the implementation class, and rewrite the method to be called:
b: callback based usage, which is relatively simple, Because there is no need to use proxy mode,
both methods can implement method call timeout interruption, proxy mode is suitable for class level method timeout interruption, while callback based mode is more suitable for any single method.
7.
The address itself is anonymous. Ordinary people can't find it. But if you register with the exchange, the exchange has your information and blockchain address
anonymity and traceability of blockchain addresses : anyone can easily generate a large number of private keys, public keys and addresses. The address itself is anonymous, which can be further improved by multiple address transactions. But all transactions are transparent, that is to say, all transactions at one address can be checked and traced. That is to say, I can track and query all the in and out accounts and balances at the address you give
please refer to the webpage link for details
8. Fire money network is opened by swindlers. It must be these swindlers who have hacked your money. They didn't make money. They were cheated!
9. Digital currency, virtual currency in blockchain, using usdt e-wallet!
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