Vent Component
Vent reads sqlsol specification & abi files, parses their contents, and maps column types to corresponding sql types to create or alter database structures. It listens for a stream of block events from Burrow's GRPC service then parses, unpacks, decodes event data, and builds rows to be upserted in matching event tables, rows are upserted atomically in a single database transaction per block.
Block height and context info are stored in Log tables in order to resume getting pending blocks or rewind to a previous state.
SQLSol specification
SQLSol is the name (object relational mapping between Solidity events and SQL tables) given to the configuration files that Vent uses to interpret EVM events as updates or deletion from SQL tables
Given a sqlsol specification, like the following:
[
{
"TableName" : "EventTest",
"Filter" : "Log1Text = 'LOGEVENT1'",
"DeleteMarkerField": "__DELETE__",
"FieldMappings" : [
{"Field": "key", "ColumnName" : "testname", "Type": "bytes32", "Primary" : true},
{"Field": "description", "ColumnName" : "testdescription", "Type": "bytes32", "Primary" : false, "BytesToString": true}
]
},
{
"TableName" : "UserAccounts",
"Filter" : "Log1Text = 'USERACCOUNTS'",
"FieldMappings" : [
{"Field": "userAddress", "ColumnName" : "address", "Type": "address", "Primary" : true},
{"Field": "userName", "ColumnName" : "username", "Type": "string", "Primary" : false}
]
}
]
Burrow can emit a JSONSchema for the sqlsol file format with burrow vent schema
. You can use this to validate your sqlsol files using any of the JSONSchema tooling.
SQLSol specification
A sqlsol file is defined as a JSON array of EventClass
objections. Each EventClass
specifies a class of events that should be consumed (specified via a filter) in order to generate a SQL table. An EventClass
holds FieldMappings
that specify how to map the event fields of a matched EVM event to a destination column (identified by ColumnName
) of the destination table (indentified by TableName
)
EventClass
Field |
Type |
Required? |
Description |
TableName |
String |
Required |
The case-sensitive name of the destination SQL table for the EventClass |
Filter |
String |
Required |
A filter to be applied to EVM Log events using the available tags written according to the event query.peg grammar |
FieldMappings |
array of FieldMapping |
Required |
Mappings between EVM event fields and columns see table below |
DeleteMarkerField |
String |
Optional |
Field name of an event field that when present in a matched event indicates the event should result on a deletion of a row (matched on the primary keys of that row) rather than the default upsert action |
FieldMapping
Field |
Type |
Required? |
Description |
Field |
String |
Required |
EVM field name to match exactly when creating a SQL upsert/delete |
Type |
String |
Required |
EVM type of the field (which also dictates the SQL type that will be used for table definition) |
ColumnName |
String |
Required |
The destination SQL column for the mapped value |
Primary |
Boolean |
Optional |
Whether this SQL column should be part of the primary key |
BytesToString |
Boolean |
Optional |
When type is bytes<N> (for some N) indicates that the value should be interpreted as (converted to) a string |
Notify |
array of String |
Optional |
A list of notification channels on which a payload should be sent containing the value of this column when it is updated or deleted. The payload on a particular channel will be the JSON object containing all column/value pairs for which the notification channel is a member of this notify array (see triggers below) |
Vent builds dictionary, log and event database tables for the defined tables & columns and maps input types to proper sql types.
Database structures are created or altered on the fly based on specifications (just adding new columns is supported).
Abi files can be generated from bin files like so:
cat *.bin | jq '.Abi[] | select(.type == "event")' > events.abi
Adapters:
Adapters are database implementations, Vent can store data in different rdbms.
In sqldb/adapters
there's a list of supported adapters (there is also a README.md file in that folder that helps to understand how to implement a new one).
Notification Triggers
Notification triggers are configured with the Notify
array of a FieldMapping
. In a supported database (currently only postrges) they allow you to specify a set of channels on which to notify when a column changes. By including a channel in the Notify
the column is added to the set of columns for which that channel should receive a notification payload. For example if we have the following spec:
[
{
"TableName" : "UserAccounts",
"Filter" : "Log1Text = 'USERACCOUNTS'",
"FieldMappings" : [
{"Field": "userAddress", "ColumnName" : "address", "Type": "address", "Notify": ["user", "address"]},
{"Field": "userName", "ColumnName" : "username", "Type": "string", "Notify": ["user"]}
]
}
]
Then Vent will record a mapping user -> username, address
and address -> address
where the left hand side is the notification channel and the right hand side the columns included in the payload on that channel.
For each of these mappings a notification trigger function is defined and attached as a trigger for the table to run after an insert, update, or delete. This function calls pg_notify
(in the case of postgres, the only database for which we support notifications - this is non-standard and we may use a different mechanism in other databases if present). These notification can be consumed by any client connected to the postgres database with LISTEN <channel>;
, see Postgres NOTIFY documentation.
Setup PostgreSQL Database with Docker:
# Create postgres container (only once):
docker run --name postgres-local -e POSTGRES_USER=user -e POSTGRES_PASSWORD=pass -e POSTGRES_DB=vent -p 5432:5432 -d postgres:10.4-alpine
# Start postgres container:
docker start postgres-local
# Stop postgres container:
docker stop postgres-local
# Delete postgres container:
docker container rm postgres-local
Run Unit Tests:
# From the main repo folder:
make test_integration_vent
Run Vent Command:
# Install vent command:
go install ./vent
# Print command help:
vent --help
# Run vent command with postgres adapter, spec & abi files path, also stores block & tx data:
vent --db-adapter="postgres" --db-url="postgres://user:pass@localhost:5432/vent?sslmode=disable" --db-schema="vent" --grpc-addr="localhost:10997" --http-addr="0.0.0.0:8080" --log-level="debug" --spec-file="<sqlsol specification file path>" --abi-file="<abi file path>" --db-block=true
# Run vent command with sqlite adapter, spec & abi directories path, does not store block & tx data:
vent --db-adapter="sqlite" --db-url="./vent.sqlite" --grpc-addr="localhost:10997" --http-addr="0.0.0.0:8080" --log-level="debug" --spec-dir="<sqlsol specification directory path>" --abi-dir="<abi files directory path>"
Configuration Flags:
db-adapter
: (string) Database adapter, 'postgres' or 'sqlite' are fully supported
db-url
: (string) PostgreSQL database URL or SQLite db file path
db-schema
: (string) PostgreSQL database schema or empty for SQLite
http-addr
: (string) Address to bind the HTTP server
grpc-addr
: (string) Address to listen to gRPC Hyperledger Burrow server
log-level
: (string) Logging level (error, warn, info, debug)
spec-file
: (string) SQLSol specification json file (full path)
spec-dir
: (string) Path of a folder to look for SQLSol json specification files
abi-file
: (string) Event Abi specification file full path
abi-dir
: (string) Path of a folder to look for event Abi specification files
db-block
: (boolean) Create block & transaction tables and persist related data (true/false)
NOTES:
One of spec-file
or spec-dir
must be provided.
If spec-dir
is given, vent will search for all .json
spec files in given directory.
Also one of abi-file
or abi-dir
must be provided.
If abi-dir
is given, vent will search for all .abi
spec files in given directory.
if db-block
is set to true (block explorer mode), Block and Transaction tables are created in addition to log and event tables to store block & tx raw info.
It can be checked that vent is connected and ready sending a request to http://<http-addr>/health
which will return a 200
OK response in case everything's fine.