Data Sources

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

Dataset

Movement Raw User Transactions

Chain

Movement Mainnet

Example data

1

Column	Type	Value
`version`	long	84992426
`block_height`	long	32646865
`parent_signature_type`	string	ed25519_signature
`sender`	string	0x1399574d614161578a78d42301da344b03f608d066e868b3537db4acbf7f5e1f
`sequence_number`	long	17595
`max_gas_amount`	decimal	<3Áud
`expiration_timestamp_secs`	timestamp-millis	1772106123000
`gas_unit_price`	decimal	kÇ^-c
`timestamp`	timestamp-millis	1772106103123
`entry_function_id_str`	string	0x6360db298cb2068064ab89b4c27c1df3e26971994d40f2d7ccf6f8f8e6808607::regular_v4_entry::perform_upkeep
`inserted_at`	timestamp-millis	1781690711119
`epoch`	long	10777426
`entry_function_contract_address`	string	0x6360db298cb2068064ab89b4c27c1df3e26971994d40f2d7ccf6f8f8e6808607
`entry_function_module_name`	string	regular_v4_entry
`entry_function_function_name`	string	perform_upkeep
`replay_protection_nonce`	decimal	null

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 movement-mainnet-movement-raw-user-transactions.yaml to create the pipeline.

movement-mainnet-movement-raw-user-transactions.yaml

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name: movement-mainnet-movement-raw-user-transactions
apiVersion: 3
sources:
  movement_mainnet.raw_user_transactions:
    dataset_name: movement_mainnet.raw_user_transactions
    type: dataset
    version: 1.0.0
transforms: {}
sinks:
  postgres_movement_mainnet_raw_user_transactions:
    type: postgres
    table: movement_mainnet_raw_user_transactions
    schema: public
    secret_name: YOUR_DATABASE_SECRET
    description: 'Postgres sink for: movement_mainnet.raw_user_transactions'
    from: movement_mainnet.raw_user_transactions

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