aptos.core Table: ez_native_transfers Type: View
Description
This table provides a simplified, flattened view of native token transfers on the Aptos blockchain, specifically focusing on APT token movements between accounts. The table applies specific business logic to identify genuine transfer pairs by requiring withdrawal events to occur immediately before deposit events with matching amounts, with exceptions for intermediate âCoinRegisterEventâ occurrences. This filtering ensures that only actual token transfers are captured, excluding other blockchain events that might appear as transfers but represent different operations.Key Use Cases
- Native APT token flow analysis and tracking across the network
- Wallet-to-wallet transfer monitoring and pattern recognition
- Network fee analysis and gas cost tracking for APT transfers
- User behavior analysis for native token movements
- Transfer volume analysis and network activity monitoring
- Simplified transfer analysis without complex event parsing
Important Relationships
- Complements the broader transfer analysis available in
core.fact_transfersandcore.ez_transfers - Provides simplified transfer data for analytics that donât require complex event parsing
- Supports native token-specific analysis separate from other token types
- Enables straightforward sender-to-receiver transfer tracking
Commonly-used Fields
from_address: Essential for identifying transfer senders and outflow analysisto_address: Critical for identifying transfer recipients and inflow analysisamount: Transfer amount for value calculations and volume analysistx_hash: Important for linking to transaction details and verificationblock_timestamp: Primary field for time-series analysis and trend detectionsuccess: Transaction success status for filtering valid transfers
Columns
| Column Name | Data Type | Description |
|---|---|---|
| BLOCK_NUMBER | NUMBER | Also known as block height. The block number indicates the position of a block in the blockchain, increasing sequentially after the addition of each new block. |
- 12345678
- 98765432
- Primary identifier for ordering and filtering blockchain data chronologically.
- Essential for block-level analysis and network growth tracking.
- Enables correlation of transactions, transfers, and events to specific blocks. | | BLOCK_TIMESTAMP | TIMESTAMP_NTZ | The date and time at which the block was produced on the Aptos blockchain.
- 2024-01-15 14:30:25.123456
- Primary field for time-series analysis and temporal filtering of blockchain activity.
- Essential for trend analysis, volume calculations, and historical comparisons.
- Enables time-based grouping and aggregation for analytics and reporting. | | TX_HASH | TEXT | Transaction hash is a unique 66-character identifier that is generated when a transaction is executed on the Aptos blockchain.
- 0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
- Primary identifier for linking transaction data across all related tables.
- Essential for transaction verification and blockchain explorer lookups.
- Enables correlation of transfers, events, and state changes to specific transactions. | | VERSION | NUMBER | The version number, also known as the height, represents the sequential position of a transaction in the Aptos blockchain. The first transaction has a version of 0, and each subsequent transaction increments by 1.
- 0 (genesis transaction)
- 12345678
- 98765432
- Unique identifier for ordering transactions chronologically across the entire blockchain.
- Essential for transaction sequencing and version-based analysis.
- Enables precise transaction tracking and blockchain state verification. | | SUCCESS | BOOLEAN | The boolean value indicating whether the transaction was successfully executed on the Aptos blockchain.
- true (transaction succeeded)
- false (transaction failed)
- Essential for filtering successful transactions and analyzing failure rates.
- Critical for accurate volume calculations and user experience analysis.
- Enables debugging and error pattern recognition in transaction analysis. | | FROM_ADDRESS | TEXT | The account address that initiated the transfer, representing the sender of the tokens.
- 0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
- Essential for transfer flow analysis and sender identification.
- Critical for account activity tracking and transfer origin analysis.
- Enables sender-based analytics and transfer flow reporting. | | TO_ADDRESS | TEXT | The account address that received the transfer, representing the recipient of the tokens.
- 0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
- Essential for transfer flow analysis and recipient identification.
- Critical for account activity tracking and transfer destination analysis.
- Enables recipient-based analytics and transfer flow reporting. | | AMOUNT | NUMBER | The non-decimal adjusted amount of a token, representing the raw on-chain value before decimal precision is applied.
- 1500000000000000000 (for 1.5 tokens with 18 decimals)
- 1000000000000000000000 (for 1000 tokens with 18 decimals)
- Preserves the exact on-chain representation for precise calculations and verification.
- Essential for blockchain-level accuracy and cross-reference with external data sources.
- Used when decimal precision needs to be maintained for technical analysis. | | TOKEN_ADDRESS | TEXT | The full address of the token on the Aptos blockchain, containing the account, module, and resource identifiers.
- 0x1::coin::AptosCoin (native APT token)
- 0xf22bede237a07e121b56d91a491eb7bcdfd1f5907926a9e58338f964a01b17fa::coin::USDC
- Primary identifier for filtering and grouping transactions by specific tokens.
- Essential for DeFi analysis, token flow tracking, and protocol-specific analytics.
- Enables correlation with token metadata for symbol and decimal information. | | EZ_NATIVE_TRANSFERS_ID | TEXT | The unique primary key identifier for each row in the table, ensuring data integrity and uniqueness.
- 0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
- Essential for data integrity and unique row identification.
- Critical for join operations and data relationship management.
- Enables precise data retrieval and referential integrity maintenance. | | INSERTED_TIMESTAMP | TIMESTAMP_NTZ | The UTC timestamp when the row was inserted into the table, representing when the data was first recorded.
- 2024-01-15 14:30:25.123456
- Essential for data lineage tracking and insertion timing analysis.
- Critical for understanding data freshness and processing delays.
- Enables data quality analysis and processing performance monitoring. | | MODIFIED_TIMESTAMP | TIMESTAMP_NTZ | The UTC timestamp when the row was last modified, representing when the data was most recently updated.
- 2024-01-15 14:30:25.123456
- Essential for data freshness analysis and update tracking.
- Critical for understanding data modification patterns and change frequency.
- Enables data quality monitoring and update performance analysis. |