This ensures that nodes are storing unreadable files, outside of the context of Qortal. For public data, the decryption keys themselves are on-chain, included in the "secret" field of arbitrary transactions. When we introduce the concept of private data, we can simply exclude the secret key from the transaction so that only the owner can decrypt it.
When encrypting the file, I have added the 16 byte initialization vector as a prefix to the cyphertext, and it is then automatically extracted back out when decrypting. This gives us the option to encrypt more than one file with the same key, if we ever need it. Right now, we are using a unique key per file, so it's not actually needed, but it's good to have support.
Adds "name", "method", "secret", and "compression" properties. These are the foundations needed in order to handle updates, encryption, and name registration. Compression has been added so that we have the option of switching to different algorithms whilst maintaining support for existing transactions.
These combine some Qora services (SERVICE_NAME_STORAGE, SERVICE_BLOG_POST, and SERVICE_BLOG_COMMENT) with existing Qortal services (SERVICE_AUTO_UPDATE), and some new additions (SERVICE_ARBITRARY_DATA, SERVICE_WEBSITE, and SERVICE_GIT_REPOSITORY)
Previously we would ask all connected peers for the file itself, but this caused the network to be swamped when multiple peers responded with the same file.
This new approach instead asks all connected peers to send back a list of hashes for all files they have relating to a transaction signature. The requesting node then uses these lists to make separate requests for each missing file.
This is a quick solution to rebuild directory structures with missing files. This whole area of the code needs some reworking, as serving the site from a temporary folder is not a robust long term solution.
Domain names can be mapped to arbitrary transaction signatures via the node's settings, and then served over port 80 or 443. This allows Qortal hosted sites to be accessible via a traditional domain name.
Example configuration to map two domains:
"domainMapServiceEnabled": true,
"domainMapServicePort": 80,
"domainMap": [
{
"domain": "example.com",
"signature": "tEsw4kUn4ZJfPha7CotUL6BHkFPs79BwKXdY6yrf28YTpDn4KSY6ZKX3nwZCkqDF9RyXbgaVnB1rTEExY3h9CQA"
},
{
"domain": "demo.qortal.org",
"signature": "ZdBWWPMhR7AZwSu5xZm89mQEacekqkNfAimSCqFP6rQGKaGnXR9G4SWYpY5awFGfhmNBWzvRnXkWZKCsj6EMgc8"
}
]
Each domain needs to be pointed to the Qortal data node via an A record or CNAME. You can add redundant nodes by adding multiple A records for the same domain (this is known as DNS Failover).
Note that running a webserver on port 80 (or anything less than 1024) requires running the data node as root. There are workarounds to this, such as disabling privileged ports, or using a reverse proxy. I will investigate this more as time goes on, but this is okay for a proof of concept.
It's now capable of syncing chunks as well as complete files. This isn't production ready as it currently requests/receives the same file from multiple peers at once, which slows down the sync and wastes lots of bandwidth. Ideally we would find an appropriate peer first and then sync the file from them.
This introduces the hash58 property, which stores the base58 hash of the file passed in at initialization. It leaves digest() and digest58() for when we need to compute a new hash from the file itself.
Until now it wasn't possible to set up a chain with zero transaction fees due to a hardcoded zero check in Payment.isValid(), and a divide by zero error in Transaction.hasMinimumFeePerByte()
- Adds support for files up 500MiB per transaction (at 2MiB chunk sizes). Previously, the max data size was 4000 bytes.
- Adds a nonce, giving us the option to remove the transaction fees altogether on the data chain.
These features become enabled in version 5 of arbitrary transactions.
This is probably our number one reliability issue at the moment, and has been a problem for a very long time.
The existing CHECKPOINT_LOCK would prevent new connections being created when we are checkpointing or about to checkpoint. However, in many cases we obtain the db connection early on and then don't perform any queries until later. An example would be in synchronization, where the connection is obtained at the start of the process and then retained throughout the sync round. My suspicion is that we were encountering this series of events:
1. Open connection to database
2. Call maybeCheckpoint() and confirm there are no active transactions
3. An existing connection starts a new transaction
4. Checkpointing is performed, but deadlocks due to the in-progress transaction
This potential fix includes preparedStatement.execute() in the CHECKPOINT_LOCK, to block any new transactions being started when we are locked for checkpointing. It is fairly high risk so we need to build some confidence in this before releasing it.
This is probably the most efficient way to process the data on the fly, but it's still not very scalable. A better approach would be to pre-process the HTML when building the file structure, and then serve them completely statically (i.e. using a standard webserver rather than via application memory). But it makes sense to keep it this way for development and maybe early beta testing.
Rename to zh_SC for better distinguish between zh_SC (Simple Chinese)and zh_TC(Traditional Chinese)
Rephrase some of the words for better understanding.
This can be used to preview a site before signing a transaction and announcing it to the network. The response will need reworking to return JSON (along with most of the other new APIs)
This fixes an NPE when trying to send a file that doesn't exist. It also removes the caching, which we can add again later if it turns out to be needed.
Now that we aren't disconnecting mid sync, we can get away with more frequent disconnections. This brings the average connection length to around 9 mins.
