Data Sources

Create lightning-fast pipelines with your subgraphs or live streams by Goldsky and the community.

Dataset

Messages

Chain

Starknet

Example data

1

Column	Type	Value
`id`	string	sn_message_0x7ebdeccae9c13cdceba45116938b4bcd6e511b5a22f3b403a8c68a050c53923_0
`block_number`	long	686371
`block_hash`	string	0x7ebdeccae9c13cdceba45116938b4bcd6e511b5a22f3b403a8c68a050c53923
`block_timestamp`	long	1725293381
`transaction_hash`	string	0x8a64119f027606d8ae31cb58162c0058793915624646ff1feea1eeda9fdc91
`transaction_execution_status`	string	SUCCEEDED
`transaction_type`	string	INVOKE
`transaction_version`	long	3
`message_index`	long	0
`from_address`	string	0x74761a8d48ce002963002becc6d9c3dd8a2a05b1075d55e5967f42296f16bd0
`to_address`	string	0xbb3400f107804dfb482565ff1ec8d8ae66747605
`payload`	array	["0x0","0x891fada967fef64e89e604e6578e81c2a1f259ea","0xdac17f958d2ee523a2206206994597c13d831ec7","0x12c","0x0"]

Configuration

To create a pipeline with this configuration, download the configuration below and replace YOUR_DATABASE_SECRET with your database secret. Then, run goldsky pipeline apply starknet-messages.yaml to create the pipeline.

starknet-messages.yaml

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name: starknet-messages
apiVersion: 3
sources:
  starknet.messages:
    dataset_name: starknet.messages
    type: dataset
    version: 1.0.0
transforms: {}
sinks:
  postgres_starknet_messages:
    type: postgres
    table: starknet_messages
    schema: public
    secret_name: YOUR_DATABASE_SECRET
    description: 'Postgres sink for: starknet.messages'
    from: starknet.messages

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