How to upgrade from Boost v1 to Boost v2
Migrate from Boost version 1 to version 2
Last updated
v2.x (Stable)
Migrate from Boost version 1 to version 2
Last updated
Make sure you have read the page before proceeding. Boost v2 introduces a new service called boostd-data which requires a database to be installed - YugabyteDB or LevelDB.
Boost v2 introduces the Local Index Directory as a replacement for the DAG store. It scales horizontally and provides a more intuitive experience for users, by surfacing problems in the UI and providing repair functionality.
When boost receives a storage deal, it creates an index of all the block locations in the deal data, and stores the index in LID.
When boostd / booster-http etc gets a request for a block it:
gets the block sector and offset from the LID index
requests the data at that sector and offset from the miner
A large miner with many incoming retrieval requests needs many boostd / booster-http / booster-bitswap processes to serve those requests. These processes need to look up block locations in a centralized index.
We tested several databases and found that YugabyteDB is best suited to the indexing workload because
it performs well on off-the-shelf hardware
it's easy to scale up by adding more machines
it has great documentation
once set up, it can be managed through a web UI
It is possible to connect multiple boostd instances to a single LID instance. In this scenario, each boostd instance still stores data to a single miner. eg boostd A stores data to miner A, boostd B stores data to miner B. However each boostd instance saves retrieval indexes in a single, shared LID instance.
For retrieval, each boostd instance can query the shared LID instance (to find out which miner has the data) and retrieve data from any miner in the cluster.
booster-bitswap and booster-http can also be configured to query the shared LID instance, and retrieve data from any miner in the cluster.
If you are deploying multiple boostd instances with a single LID instance you will need to set up the networking so that each boostd, booster-bitswap and booster-http instance can query all miners and workers in the cluster. We recommend assigning all of your miner instances and boostd instances to the same subnet. Note also that the Yugabyte DB instance will need enough space for retrieval indexes for all of the miners.
The Local Index Directory stores retrieval indices in a YugabyteDB database. Retrieval indices store the size and location of each block in the deal data.
We recommend running YugabyteDB on a dedicated machine with SSD drives. Depending on how many blocks there are in the user data, the retrieval indices may require up to 2% of the size of the unsealed data. e.g. 1 TiB of unsealed user data may require a 20 GiB index.
YugabyteDB should require about the same amount of space as your DAG store requires today.
You can find more information about YugabyteDB in the Components section:
Follow these instructions in order to migrate your existing DAG store into the new Local Index Directory and upgrade from Boost v1 to Boost v2:
1. Clone the Boost repository to a temporary directory
Note: Don’t overwrite your existing boost instance at this stage
2. Check out the Boost v2 release
3. Build from source
4. Migrate dagstore indices
Depending on the amount of data your SP is storing, this step could take anywhere from a few minutes to a few hours. You can run it even while Boost v1 continues to run. The command can be stopped and restarted. It will continue from where it left off.
Run the migration with parameters to connect to YugabyteDB on its Cassandra and PostgreSQL interfaces:
It will output a progress bar, and also a log file with detailed migration information at migrate-yugabyte.log
5. Run the boostd-data service
boostd-data is a data proxy service which abstracts the access to LID through an established interface. It makes it easier to secure the underlying database and not expose it. boostd-data listens to a websocket interface, which is the entrypoint which should be exposed to boostd, andbooster-http
Start the boostd-data service with parameters to connect to YugabyteDB on its Cassandra and PostgreSQL interfaces:
If you are deploying a single LID instance with multiple boostd instances, you should run a single boostd-data process on one of the hosts where YugabyteDB is installed. All boostd, booster-bitswap and booster-http instances should be able to reach this single boostd-data process.
6. Update boostd repository config
Configure boostd repository config (located at <boostd repo>/config.toml) to point to the exposed boostd-data service endpoint. Note that the connection must be configured to go over a websocket.
For example:
6.1 Add miners to boostd repository config
If you are deploying a single LID instance with multiple boost instances, you will also need to add to config the RPC endpoint for each miner in the cluster. This allows boostd to serve data for each miner over Graphsync.
Make sure to test that this boostd instance can reach each miner by running
7. Install Boost v2
Note that in v2 booster-http and booster-bitswap take slightly different parameters (see below).
8. Stop boostd, booster-http and booster-bitswap
You need to stop boostd before migrating piece info data.
9. Migrate piece info data (information about which sector each deal is stored in)
This should take no more than a few minutes.
10. Start the upgraded versions of boostd, booster-http and booster-bitswap
Note that booster-http and booster-bitswap take slightly different parameters:
--api-boost is removed
There is a new parameter --api-lid that points to the boostd-data service (which hosts LID), e.g. --api-lid="ws://<boostd-data>:8044"
If you are deploying a single LID instance with multiple booster-bitswap and booster-http instances, you should supply a --api-storage flag for each one
eg --api-storage=MINER_API_INFO_1 --api-storage=MINER_API_INFO_2
Make sure to test that this booster-http / booster-bitswap instance can reach each miner by running
11. Clean up the dagstore directory from boostd repo and the temporary boost github repo
Be careful when running the below command to ensure that you do not remove incorrect directory $ rm -rf <boostd repo>/dagstore
$ rm -rf /tmp/boostv2
1. Test how long it takes to reindex a piece
2. Perform a retrieval using Graphsync, Bitswap and HTTP
At this stage you should have the latest version of Boost running with the Local Index Directory. Go to the Local Index Directory page and review the number sections:
Pieces section shows counters for total pieces of user data that your SP is storing as well as whether you are keeping unsealed and indexed copies of them.
Flagged pieces are pieces that either lack an unsealed copy or are missing an index. For the sealed-only user data, you should make sure that you unseal individual sectors if you want this data to be retrievable.
Sealed only copies of data are not retrievable and are only being proven on-chain within the corresponding deadline / window. Typically sealed only data is considered as archival as it is not immediately retrievable. If the client requests it, the SP sealing pipeline must first unseal it, which typically takes 1-2 hours, and only then the data becomes available.
Flagged (unsealed) pieces is user data that your SP is hosting, which is not indexed.
Deal Sector Copies section displays counters of your sectors state - whether you keep unsealed copies for all sectors or not. Ideally the SP should keep unsealed copies for all data that should be immediately retrievable.
Sector Proving State section displays counters of your active and inactive sectors - active sectors are those that are actively proven on-chain, inactive sectors are those that you might have failed to publish a WindowPoSt for, or are expired or removed.
We recommend that you trigger re-indexing for these pieces, so that data becomes retrievable. Check the for more information.
