I will increase Ahrefs domain rating DR 71+ Guaranteed for 70 for $70

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blockchain – Is a hypothetical Bitcoin network on Mars guaranteed to fork from the one on Earth?

Electromagnetic waves take between ~4 and ~24 minutes (mean: ~14 minutes) to travel a one-way trip between Earth and Mars. Suppose I set up a Bitcoin network on Mars. Is it guaranteed to eventually fork from the Bitcoin network on Earth?

I would expect the Bitcoin network on Mars to fork from the one on Earth, because Bitcoin’s target inter-block time is 10 minutes, which is less than average time it takes for electromagnetic waves to travel between Earth and Mars. Am I correct?

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(tagsToTranslate) seo (t) Ranking (t) Google (t) Backlink

SQL Server – Are SqlServer Sequences Guaranteed to Return Different Values ​​for Concurrent Transactions?

The documentation states:

A double validation only takes place when a data record is completely filled out. In some cases, this can result in the same number being used for more than one record during creation, but then identified as a duplicate

I do NOT want to use this number in an insert query like this:

INSERT Test.Orders (OrderID, Name, Qty)  
    VALUES (NEXT VALUE FOR Test.CountBy1, 'Tire', 2) ; 

I want to track this number in my web application and create an encrypted text from it. and save the encrypted code in the database. Therefore in my case there is no double check when pasting.

I need to know if two clients are likely to call NEXT VALUE FOR work at almost the same time and get the same values? or not? (I don't need to do that)

Mining Theory – Why is a 51% attack guaranteed to outperform the rest of the network's miners? Doesn't 51% hashing power just give you a slightly higher chance?

If you don't limit the attacker's time when he has 51% of the hash power (and can hold that majority throughout the attack time), he will eventually overtake the rest of the network.

More formal: the chance that the attacker will overtake the honest network converges 100% when the attack time becomes infinite. There is no guarantee that this will happen quickly at all and that the probability will never reach 100%, but it will come arbitrarily close.

Someone with 51% of the hash rate can simply produce blocks faster than the rest of the network combined, so this shouldn't come as a surprise. Sure, he may have bad luck for the first block or the second or even the first 100 blocks, but in the long run, the rest of the network just can't keep up with the attacker.

postgresql – How can data consistency be guaranteed across multiple reads?

Let us imagine that my application has to perform a series of SELECTs (for different tables) in succession to collect different information from the database and we do not want any of these tables to change as we collect the data.
With postgresql isolation levels "repeatable reading" or "serializable" isolation levels can be used. However, if another transaction commits changes to a table that we have not yet referenced, they will still appear even if our transaction has started as the following sequence of actions indicates:

T1: BEGIN ISOLATION LEVEL SERIALIZABLE;    # imagine here table t has 10 rows
T2: INSERT INTO t VALUES(1, 2, 3);
T1: SELECT COUNT(*) FROM t;                # we'll see 11 lines for the rest of the transaction

However, if T1 accessed t before T2 did the insertion, 10 lines are displayed for the duration of the entire transaction:

T1: BEGIN ISOLATION LEVEL SERIALIZABLE;    # imagine here table t has 10 rows
T1: SELECT COUNT(*) FROM t;                # we'll see 10 lines for the rest of the transaction
T2: INSERT INTO t VALUES(1, 2, 3);
T1: SELECT COUNT(*) FROM t;                # still sees 10 lines etc.

With the above behavior, if we need to access multiple tables during the transaction, many of them can change in the time interval between the start of the transaction and the moment we access it.
I understand that isolation levels should work this way, so no explanation is needed here.

But is there a way to create a kind of "snapshot" after a certain point in time? Are explicit locks required in this case?

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