Available in programming languages: Rust | Javascript
NEAR Lake Framework is a small library companion to NEAR Lake. It allows you to build your own indexer that subscribes to the stream of blocks from the NEAR Lake data source and create your own logic to process the NEAR Protocol data.
Official NEAR Lake Framework launch announcement has been published on the NEAR Gov Forum Greetings from the Data Platform Team! We are happy and proud to announce an MVP release of a brand new word in indexer building approach - NEAR Lake Framework.
use futures::StreamExt;
use near_lake_framework::LakeConfigBuilder;
#[tokio::main]
async fn main() -> Result<(), tokio::io::Error> {
// create a NEAR Lake Framework config
let config = LakeConfigBuilder::default()
.testnet()
.start_block_height(82422587)
.build()
.expect("Failed to build LakeConfig");
// instantiate the NEAR Lake Framework Stream
let (sender, stream) = near_lake_framework::streamer(config);
// read the stream events and pass them to a handler function with
// concurrency 1
let mut handlers = tokio_stream::wrappers::ReceiverStream::new(stream)
.map(|streamer_message| handle_streamer_message(streamer_message))
.buffer_unordered(1usize);
while let Some(_handle_message) = handlers.next().await {}
drop(handlers); // close the channel so the sender will stop
// propagate errors from the sender
match sender.await {
Ok(Ok(())) => Ok(()),
Ok(Err(e)) => Err(e),
Err(e) => Err(anyhow::Error::from(e)), // JoinError
}
}
// The handler function to take the entire `StreamerMessage`
// and print the block height and number of shards
async fn handle_streamer_message(
streamer_message: near_lake_framework::near_indexer_primitives::StreamerMessage,
) {
eprintln!(
"{} / shards {}",
streamer_message.block.header.height,
streamer_message.shards.len()
);
}
For more information refer to the docs
- Video tutorial about
near-examples/near-lake-accounts-watcher
https://youtu.be/GsF7I93K-EQ - Migrating to NEAR Lake Framework from NEAR Indexer Framework
near-examples/near-lake-raw-printer
simple example of a data printer built on top of NEAR Lake Frameworknear-examples/near-lake-accounts-watcher
another simple example of the indexer built on top of NEAR Lake Framework for a tutorial purposenear-examples/indexer-tx-watcher-example-lake
an example of the indexer built on top of NEAR Lake Framework that watches for transactions related to specified account(s)octopus-network/octopus-near-indexer-s3
a community-made project that uses NEAR Lake Framework
Add the following dependencies to your Cargo.toml
...
[dependencies]
futures = "0.3.5"
itertools = "0.10.3"
tokio = { version = "1.1", features = ["sync", "time", "macros", "rt-multi-thread"] }
tokio-stream = { version = "0.1" }
# NEAR Lake Framework
near-lake-framework = "0.6.1"
TL;DR approximately $18.15 per month (for AWS S3 access, paid directly to AWS) for the reading of fresh blocks
Explanation:
Assuming NEAR Protocol produces accurately 1 block per second (which is really not, the average block production time is 1.3s). A full day consists of 86400 seconds, that's the max number of blocks that can be produced.
According the Amazon S3 prices list
requests are charged for $0.005 per 1000 requests and get
is charged for $0.0004 per 1000 requests.
Calculations (assuming we are following the tip of the network all the time):
86400 blocks per day * 5 requests for each block / 1000 requests * $0.0004 per 1k requests = $0.173 * 30 days = $5.19
Note: 5 requests for each block means we have 4 shards (1 file for common block data and 4 separate files for each shard)
And a number of list
requests we need to perform for 30 days:
86400 blocks per day / 1000 requests * $0.005 per 1k list requests = $0.432 * 30 days = $12.96
$5.19 + $12.96 = $18.15
The price depends on the number of shards
We use Milestones with clearly defined acceptance criteria: