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Schema: ethereum.beacon_chain Table: fact_attestations Type: View

What

Validators are expected to create, sign, and broadcast an attestation during every epoch. Data in this table contains details around these attestations. For more info, please visit The Ethereum Organization

Columns

Column NameData TypeDescription
SLOT_NUMBERNUMBERThe Beacon Chain slot this block represents.
SLOT_TIMESTAMPTIMESTAMP_NTZTimestamp of Beacon Chain slot.
EPOCH_NUMBERNUMBERA period of 32 slots, each slot being 12 seconds, totaling 6.4 minutes.
ATTESTATION_SLOTNUMBERThe slot number in which the validator is attesting on
ATTESTATION_INDEXNUMBERA number that identifies which committee the validator belongs to in a given slot
AGGREGATION_BITSTEXTAGGREGATION_BITS column
BEACON_BLOCK_ROOTTEXTRoot hash of the block the validator sees at the head of the chain (the result of applying the fork-choice algorithm)
SOURCE_EPOCHNUMBERPart of the finality vote indicating what the validators see as the most recent justified block
SOURCE_ROOTTEXTPart of the finality vote indicating what the validators see as the most recent justified block
TARGET_EPOCHNUMBERPart of the finality vote indicating what the validators see as the first block in the current epoch
TARGET_ROOTTEXTPart of the finality vote indicating what the validators see as the first block in the current epoch
ATTESTATION_SIGNATURETEXTA BLS signature that aggregates the signatures of individual validators
FACT_ATTESTATIONS_IDTEXTPrimary key - unique identifier for each row ensuring data integrity. Format: Usually VARCHAR containing composite key generated using MD5 hash of the relevant columns. Example: MD5(blocknumber, txhash, trace_index) Usage: Deduplication in incremental loads Join operations for data quality checks Troubleshooting specific records Important: Implementation varies by table - check table-specific documentation.
INSERTED_TIMESTAMPTIMESTAMP_NTZUTC timestamp when the record was first added to the Flipside database. Format: TIMESTAMP_NTZ Use Cases: Data freshness monitoring Incremental processing markers Debugging data pipeline issues SLA tracking Query Example:
MODIFIED_TIMESTAMPTIMESTAMP_NTZUTC timestamp of the most recent update to this record. Format: TIMESTAMP_NTZ Triggers for Updates: Data corrections Enrichment additions Reprocessing for accuracy Schema migrations Monitoring Usage: