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bitcoin core – Resolve BTC long memory pool (lots of unconfirmed messages)

I started with the Bitcoin exchange service, creating rawtransaction and broadcasting it. The problem I have to deal with is the mempool string too long (more than 25 unconfirmed transactions), for example:
64: chain too long

Using limitancestorcount and limitdescendantcount Just solve on the local node, these late txs (transaction after the first 25) have to wait a long time to be rebroadcast like this:
Transaction not found in blockchain

Here is my testnet address has a lot of unconfirmed txs and still waiting, if I search on another explorer, I can not see 45 unconfirmed txs, same for getrawtransaction on the node, respose is No such mempool or blockchain transaction:

https://live.blockcypher.com/btc-testnet/address/mxHqrQBWuCndNaubTYUbcEVzeNPsT34TP6/

So, how can I avoid this problem, I just think of several methods, such as: divide the main address into a few sub-addresses, which divides the main UTXO into a few UTXOs, create a many-to-many transaction (currently 1 to 2, 1 target and 1 changeAddress back), using UTXO first with high confirmation, … Which options can bring better results and performance for a long scaling? term? Any advice is really appreciated. And last question, is there a way to mark 1 UTXO used 25 times (for example, I use UTXO X first, then it is returned, Y is used, Z is returned, total using X = 2, I have no related information to calculate it because the node returns, UTXO only contains txId).

In a mining pool, how does the counting of actions work with vardiff?

I was reading this very interesting page: https://slushpool.com/help/hashrate-proof/

I have read the "How does the calculation of the extraction and hash rate work?" section and with a fixed difficulty for all minors, all this was perfectly logical. But there is this sentence:

The value of 2 ^ 32 has been chosen arbitrarily in the past, but is stable
and does a definite part. In reality, proof of the value of work can
vary from one minor to another, but it's just a detail of implementation.

Except that I can not understand exactly this "detail of implementation". How do you take into account the varying difficulty of each minor in the way you exactly count the shares? What would be the exact formula for calculating the% of rewards for each minor?

In a mining pool, how does the count of actions work with vardiff?

I was reading this very interesting page: https://slushpool.com/help/hashrate-proof/

I have read the "How does the calculation of the extraction and hash rate work?" section and with a fixed difficulty for all minors, all this was perfectly logical. But there is this sentence:

The value of 2 ^ 32 has been chosen arbitrarily in the past, but is stable
and does a definite part. In reality, proof of the value of work can
vary from one minor to another, but it's just a detail of implementation.

Except that I can not understand exactly this "detail of implementation". How do you take into account the varying difficulty of each minor in the way you exactly count the shares? What would be the exact formula for calculating the% of rewards for each minor?

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architecture – Multithreading: Every system on a different thread or a thread pool?

I'm building a pretty complex game using OpenGL and C ++. I've been thinking about how to implement multithreading, and the two options are as follows:

1) Each system (graphic, audio, physical, etc.) receives its own dedicated thread on which it is executed.

2) Implement a thread pool, which selects a job in a queue (priority queue), executes it, and is re-inserted into the pool to wait for the new available job.

I was wondering which one is generally considered the best: in terms of performance, maintenance, scalability, code smell and so on.

Pathfinder 2nd – Focus Pool for Druid Storm (PF2e) – 4 focus points?

A Storm druid (from PathFinder 2e) initially has 2 PF (focus points) + 1 FP of WIND CALLER feat + 1 FP of INVOKE DISASTER feat = 4? However, the overall limit is not greater than 3 PF. Thus, +1 FP of INVOKE DISASTER is impossible. Why is the increase in FP done in this feat?

windows – Removing healthy drives from a storage pool without data loss

It was not so long ago, I ended up with a Windows 2016 server that was running out of space on a virtual disk on its primary storage pool. I've put two new drives and started the process of adding to the storage pool so that we can expand the virtual disk. As this happened, the space on the virtual disk was reduced, so the extension was no longer needed, and we now need to recover these new drives for use elsewhere. The problem is that the virtual disk is now distributed on these drives. I know that I can use Remove-PhysicalDisk to remove drives from the pool, but not if they are in use. Is there a way to tell the virtual disk to not use these physical disks before removing them from the storage pool? Like a reverse Optimize-StoragePool? Is there a way to reduce this storage pool without data loss, keeping in mind that the virtual disk is the same size as it has always been?

configuration for L3 + to connect the mining pool concentrator to our workers

to whom It May Concern
Hello
I have 10 Antminer L3 + now working on f2pool, but I now wish to continue operating the scrypt algorithm in Mining Pool Hub and monitoring Minerstat through its Algo Switch Mining. I could not find any useful tutorial or guide full of examples to show me the right way. I want to extract the most profitable coin of every minute.
I really appreciate if you can help me with the pool address, how to write the correct wallet address and server address in the field Configuration general of the minor of each worker?

thank you so much

SQL Server 2017 – Large Amount in the Buffer Pool Database Pages

We were looking at sys.dm_os_buffer_descriptors using the query below

select 
 d.(name)                                       (Database_Name),
 (count(file_id) * 8) / 1024                    (Buffer_Pool_Size_MB),
 sum(cast(free_space_in_bytes as bigint)) / 1024 / 1024     (Free_Space_MB)
from sys.dm_os_buffer_descriptors b
    join sys.databases d on
        b.database_id = d.database_id
group by d.(name)
order by (Buffer_Pool_Size_MB)

And for one of my databases, this indicates (Buffer_Pool_Size_MB) = 77325 megabytes and (Free_Space_MB) = 15849 megabytes

So, about 20% of its space in the pages of the buffer pool is empty. It looks like a waste of resources

Questions:

  • Is it a problem ?
  • How many free_space_in_bytes to be mitigated?
  • Are there other things to consider / consider in our situation?