You can use the Bitcoin Optech dashboard to see these stats as historical trends from the entire history of Bitcoin, and also from new blocks as they get confirmed. That’s in the neighborhood of 2 to 5 percent of the entire planet’s GDP! As a result, the number of bitcoins in circulation will approach 21 million, but never hit it. Bitcoins per block (approximately every ten minutes) until mid 2020, and then afterwards 6.25 bitcoins per block for 4 years until next halving. In addition, if the miner finds a new “block,” the miner is awarded new bitcoins. Now, mining will be easier than before with the help of this miner. Copies of all published parts of our weekly series on transaction relay, mempool inclusion, and mining transaction selection—including why Bitcoin Core has a more restrictive policy than allowed by consensus and how wallets can use that policy most effectively. Software run by users of the currency collaborates over the Internet to maintain the global ledger, called the blockchain, which records every bitcoin transaction ever made (see “What Bitcoin Is, and Why It Matters”).
I can see theymos is not really on your side anymore. If an undercover FBI agent pays you a bitcoin, they can follow all the transactions and watch that money get spent at a coffee shop. Since the money was in the form of loans rather than income, he wasn’t obliged to pay taxes on it. Continue producing high quality technical content in the form of weekly newsletters and potentially a ‘scaling cookbook’. With generous support from Wences Casares, John Pfeffer and Chaincode Labs, we’ve spent the last few months meeting engineers and managers from across the ecosystem; started producing weekly newsletters for Bitcoin engineers highlighting ways that they could use the blockchain more effectively; and organized our first workshop in San Francisco, bringing together engineers from exchanges, custodians and wallet companies utilizing the Bitcoin blockchain to discuss efficient use of the blockchain and https://www.youtube.com/ ways to engage with the open source community.
I then started looking at the getblockstats RPC for some additional stats while I figure out a way around this problem. RPC in bitcoind expected to be released in Bitcoin Core 0.17. It gives several useful statistics for any given block. First, we derive some extra stats like “percentage of X that are Y” from the stats “X” and “Y” for the sake of convenience (the bitcoind patch doesn’t include these to give users the option to not have them and because they are trivial to compute). After exploring these options, I decided I could probably get most of the stats needed for the dashboard through RPCs from bitcoind. The main difference was that my code had the additional overhead of thousands of RPCs. Without any network connections, a full node doesn’t really have anything to do except respond to RPCs. Second, we turned off the network connection of the node using noconnect and nolisten. Using go-pg you can define a table schema based off of the definition of a type, and even add constraints like notnull by just tagging the relevant struct fields in Go. I chose go-pg as a Postgres driver basically at random. I looked at other databases people were using for Grafana dashboards and Postgres also seemed fairly common.
Once the switch to Postgres was done, the dashboard graphs came up much faster in Grafana. There are also a ton of Go packages that implement Postgres drivers, which is helpful because I wrote the program for collecting stats in Go. I also patched the btcd RPC client for convenience to allow usage of getblockstats in the code I wrote. “unilaterally define crypto market structure” with headline-grabbing enforcement actions and vowed to “defend our platform vigorously,” the company wrote in a post on its website on Monday. The rest of this post will be about my experience building the dashboard. I will say that InfluxDB worked just fine for queries at smaller time-scales. In the dashboard, we want to be able to show historic trends, which means making queries that might ask for years worth of data. More energy efficient algorithms, like proof-of-stake, have been in development over recent years. This code worked pretty well for smaller blocks, but when I tried using it to get the stats of a more recent block – which often have over a thousand transactions – I quickly noticed a problem. Both iterate through all transactions in a block, and for each transaction they collect stats while iterating through its inputs and outputs.