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Local Service

In you want to manage your own infrastructure, you can use still the deployable services, but locally. This essetially means using the substreams alpha service command pointing to a local Docker installation. The following tutorial teaches you how to use the Substreams:SQL deployable service locally.

Tutorial

In this tutorial, you will:
  1. 1.
    Generate a simple Substreams that extract all events from the Cryptopunks smart contract on Ethereum.
  2. 2.
    Feed your data into a local PostgreSQL database in a Docker-based development environment.
  3. 3.
    Develop and apply SQL transformations with dbt models.
  4. 4.
    Go from a local Substreams:SQL environment to a shared remote development environment.
  5. 5.
    Create a production .spkg package and test it locally
  6. 6.
    Deploy your .spkg to a production environment that fills a PostgreSQL database from your Substreams and applies dbt transformations automatically.

Generate a Substreams project from the Cryptopunks ABI

  • The cryptopunks address on mainnet is 0xb47e3cd837ddf8e4c57f05d70ab865de6e193bbb
  • Use the substreams init command to fetch the ABI from etherscan and scaffold a Substreams project:
substreams init
Fill the requested information (name: cryptopunks, protocol: ethereum, chain: mainnet, contract: b47e3cd837ddf8e4c57f05d70ab865de6e193bbb)
Project name (lowercase, numbers, undescores): cryptopunks
Protocol: Ethereum
Ethereum chain: Mainnet
✔ Contract address to track: b47e3cd837ddf8e4c57f05d70ab865de6e193bbb
✔ Would you like to track another contract? (Leave empty if not): █
Would you like to track another contract? (Leave empty if not):
Retrieving Ethereum Mainnet contract information (ABI & creation block)
Fetched contract ABI for b47e3cd837ddf8e4c57f05d70ab865de6e193bbb
Fetched initial block 3914495 for b47e3cd837ddf8e4c57f05d70ab865de6e193bbb (lowest 3914495)
Generating ABI Event models for
Generating ABI Events for Assign (to,punkIndex)
Generating ABI Events for PunkBidEntered (punkIndex,value,fromAddress)
Generating ABI Events for PunkBidWithdrawn (punkIndex,value,fromAddress)
Generating ABI Events for PunkBought (punkIndex,value,fromAddress,toAddress)
Generating ABI Events for PunkNoLongerForSale (punkIndex)
Generating ABI Events for PunkOffered (punkIndex,minValue,toAddress)
Generating ABI Events for PunkTransfer (from,to,punkIndex)
Generating ABI Events for Transfer (from,to,value)
Writing project files
Generating Protobuf Rust code
Project "cryptopunks" initialized at "/Users/stepd/repos"
Run 'make build' to build the wasm code.
The following substreams.yaml files have been created with different sink targets:
* substreams.yaml: no sink target
* substreams.sql.yaml: PostgreSQL sink
* substreams.clickhouse.yaml: Clickhouse sink
* substreams.subgraph.yaml: Sink into Substreams-based subgraph
  • See the list of events that have been identified above. By default, each event type is mapped to its own table. This happens in the map_events() function inside src/lib.rs and the SQL schema is available in schema.sql.
  • Build the rust code:
make build
You should see:
cargo build --target wasm32-unknown-unknown --release
Compiling proc-macro2 v1.0.69
Compiling unicode-ident v1.0.12
Compiling syn v1.0.109
...
Compiling cryptopunks v0.0.1 (/Users/stepd/repos/cryptopunks)
Finished release [optimized] target(s) in 30.71s

Start feeding a local database using 'substreams alpha service' and Docker

From another window:
SUBSTREAMS_API_TOKEN=(...) substreams alpha service serve
Back to your substreams project:
  • Deploy your substreams locally to start putting data in your database:
substreams alpha service deploy substreams.sql.yaml
Tip: A new PostgreSQL container will be created at port 5432. The deployment will fail if there is another Docker container using that port.
Tip: You can also use substreams service deploy substreams.clickhouse.yaml to use the Clickhouse engine instead of PostgreSQL. There is no postgraphile or pgweb in that case, you will need a tool like DataGrip to see the data.
You should see:
Deploying... (creating services, please wait)
Deployed substreams sink "7590fdbf":
Status: STOPPED
Running your deployment inside local docker containersServices:
- 7590fdbf-pgweb: PGWeb service "7590fdbf-pgweb" available at URL: 'http://localhost:8081'
- 7590fdbf-postgraphile: Postgraphile service "7590fdbf-postgraphile" available at URL: 'http://localhost:3000/graphiql' (API at 'http://localhost:3000/graphql')
- 7590fdbf-postgres: PostgreSQL service "7590fdbf-postgres" available at DSN: 'postgres://dev-node:insecure-change-me-in-prod@localhost:5432/substreams?sslmode=disable'
- 7590fdbf-sink: Sink service (no exposed port). Use 'substreams alpha sink-info 7590fdbf' to see last processed block or 'docker logs 7590fdbf-sink' to see the logs.
- 7590fdbf-sinkinfo: Sink info service "7590fdbf-sinkinfo" available at URL: 'http://localhost:8282/sinkinfo'
Tip: You can run substreams alpha service pause if you want to pause the sink from consuming Substreams data while you continue your development. substreams alpha service resume will continue the progress.

Create a dbt project for transformations

  • Initialize the dbt project:
dbt init cryptopunks
Tip: Choose 'postgres' as the database.
  • Move that project under 'dbt' folder:
mv cryptopunks dbt
  • Edit the dev credentials under $HOME/.dbt/profiles.yml file:
...
cryptopunks:
outputs:
dev:
type: postgres
host: localhost
user: dev-node
password: insecure-change-me-in-prod
port: 5432
dbname: substreams
schema: public
...
target: dev
Tip: You can see the database credentials again by running substreams alpha service info
  • Test the dbt connection
dbt debug
You should see:
16:04:10 All checks passed!
  • Remove the example models:
rm -rf models/example
  • Create a datasource and a basic materialized view:
mkdir models/default
cat <<EOF > models/default/source.yml
version: 2
sources:
- name: cryptopunks
loaded_at_field: evt_block_time
tables:
- name: punk_bought
- name: punk_bid_entered
- name: punk_offered
- name: punk_no_longer_for_sale
- name: punk_transfer
- name: punk_bid_withdrawn
- name: transfer
- name: assign
EOF
cat <<EOF > models/default/punks_bought_per_hour.sql
{{ config(materialized='table') }}
select date_trunc('hour', evt_block_time) AS "hour", count(*) from punk_bought GROUP BY hour order by hour
EOF
  • Create your views:
dbt run
  • Check that the punks_bought_per_hour has been created.

Deploy your Substreams to the "hosted dev" environment

Deployments of type "dev" gives you full read/write access to the database and are a good way of working together on a dataset while developing your dbt models.
substreams alpha service deploy substreams.sql.yaml -e https://deploy.streamingfast.io
Tip: Here again, you can use the substreams.clickhouse.yaml manifest to use a Clickhouse engine.
You should see this output:
Deployed substreams sink "54546874":
Status: RUNNING
Deployment *54546874* is *RUNNING*
- Database type is *postgres*
- Owner is *0doqed628575ba7d2bd03*
Indexed blocks: [12287507 - 12326000]
- Sink status is available at 'https://srv.streamingfast.io/54546874/sinkinfo'
Environment is *Development*, which means:
- Read-only direct access to the database is available at 'postgresql://db.srv.streamingfast.io:17622/substreams?sslmode=disable&user=dev-node-ro&password=iv2rqsKsUVH5'
- Read/write direct access to the database is available at 'postgresql://db.srv.streamingfast.io:17622/substreams?sslmode=disable&user=dev-node&password=oTWPmz2Sqssb'
- Read/write access to the database via PGWeb at 'https://srv.streamingfast.io/54546874/pgweb'
Postgraphile is available at these URL:
- GraphiQL (browser): 'https://srv.streamingfast.io/54546874/graphiql'
- GraphQL (apps): 'https://srv.streamingfast.io/54546874/graphql'
See some tutorials at https://substreams.streamingfast.io
Tip: You are getting SQL credentials in this output. They can be fetched again by running substreams alpha service info 46f5e9f6 -e https://deploy.streamingfast.io.
Tip: The SQL endpoint will be assigned a specific port mapped to your deployment, in this example, port 17622.
  • Create another target in your $HOME/.dbt/profiles.yml replacing PORT_NUMBER and RW_PASSWORD with those assigned to you on the previous step:
cryptopunks:
outputs:
...
remote:
type: postgres
host: db.srv.streamingfast.io
user: dev-node
password: {RW_PASSWORD}
port: {PORT_NUMBER}
dbname: substreams
schema: public
  • You can iterate using dbt run --target=remote
  • Other devs can work on that data and create dbt models.

Pack your production package and test it locally

When your dbt models are ready, you can pack everything (Substreams, dbt project, etc.) inside an .spkg file and deploy it as production:
  • Add a dbt_config section to the substreams.sql.yaml (or substreams.clickhouse.yaml) file:
dbt_config:
enabled: true
files: "./dbt"
run_interval_seconds: 180
  • Start the substreams alpha service serve command in another window (if it is not still running from before...)
SUBSTREAMS_API_TOKEN=(...) substreams alpha service serve
  • Stop the previous deployment completely (only a single deployment can run at the same time on local Docker environment)
substreams alpha service stop
  • Test your deployment locally, in production mode:
substreams alpha service deploy substreams.sql.yaml --prod # or substreams.clickhouse.yaml
Tip: If using Clickhouse, you will need to set sink.config.rest_frontend.enabled to true: it is currently the only way to consume data in a 'production' deployment.
  • See that the database starts correctly and that the tables defined in dbt are being created correctly
  • When you are happy with the results, verify or bump the version field in substreams.sql.yaml, you can generate the cryptopunks-v0.1.0.spkg file.
substreams pack substreams.sql.yaml # or substreams.clickhouse.yaml

Deploy your production package to the "hosted prod" environment

substreams alpha service deploy cryptopunks-v0.1.0.spkg -e https://deploy.streamingfast.io --prod
The production environment does not allow direct SQL access at the moment, so your apps will need to access the data to either the postgraphile frontend (or the rest frontend when using Clickhouse)