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Schema: ethereum.beacon_chain Table: fact_validators Type: View

What

This table contains information about the validators. For more info, please visit The Ethereum Organization

Columns

Column NameData TypeDescription
BLOCK_NUMBERNUMBERDeprecating soon! The name of this column will be replaced with slot_number. The values remain the same and are currently accurate, representative of the Beacon Chain Slot Number. Please migrate queries to the new column by 11/13/23.
SLOT_NUMBERNUMBERThe Beacon Chain slot this block represents.
STATE_IDTEXTThe hash-tree-root of the BeaconState.
INDEXNUMBEREach Validator receives their own unique index.
BALANCEFLOATBalance of Validator
VALIDATOR_STATUSTEXTStatus of Validator (ie. are they Active)
ACTIVATION_ELIGIBILITY_EPOCHNUMBERRefers to pending validators. The deposit has been recognized by the ETH2 chain at the timestamp of “Eligible for activation”. If there is a queue of pending validators, an estimated timestamp for activation is calculated
ACTIVATION_EPOCHNUMBERA period of 32 slots, each slot being 12 seconds, totaling 6.4 minutes.
EFFECTIVE_BALANCEFLOATThe effective Balance represents a value calculated by the current balance. It is used to determine the size of a reward or penalty a validator receives. The effective balance can **never be higher than 32 ETH.
EXIT_EPOCHNUMBERA period of 32 slots, each slot being 12 seconds, totaling 6.4 minutes.
PUBKEYTEXTValidator public key.
SLASHEDBOOLEANIn Phase 0, a validator can be slashed (a more severe penalty) if they violate the Casper FFG rules or if they create two beacon blocks in one epoch.
WITHDRAWABLE_EPOCHNUMBERWhen Validator can withdraw funds
WITHDRAWAL_CREDENTIALSTEXTCommitment to pubkey for withdrawals
VALIDATOR_DETAILSVARIANTInformation about the validator
FACT_VALIDATORS_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: