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Blockchains (L1)

Berachain

# Berachain Block time Methodology

## 1. Overview

Block time measures the average time interval between consecutive blocks on the Berachain blockchain, expressed in milliseconds and aggregated daily. This metric indicates the blockchain's block production speed and network performance. The calculation determines how long it takes on average for new blocks to be mined each day by measuring the time differences between consecutive block timestamps and averaging them within daily boundaries.

## 2. Data sources

- **Berachain blockchain data**: Raw block records from the Berachain network containing block metadata
- **Block timestamps**: The exact timestamp when each block was mined/validated on the Berachain network  
- **Block numbers**: Sequential block identifiers used to order blocks chronologically
- **Block metadata**: Additional block information including base fee per gas for network fee tracking

## 3. Step-by-step calculation

### Component A: Block data extraction
- **Purpose**: Extract and filter relevant block information from raw Berachain blockchain data
- **Logic**: Select block timestamps and block numbers from raw Berachain block data. Filter out the genesis block (block number 0) since it has an artificial timestamp set to the start of Unix time rather than representing actual mining time. Cast timestamp and block number fields to appropriate data types for calculation
- **Key fields**: `block_timestamp` (when the block was mined), `block_number` (sequential block identifier)

### Component B: Individual block time calculation  
- **Purpose**: Calculate the time interval between each consecutive pair of blocks
- **Logic**: Use a LAG window function ordered by block number to retrieve the previous block's timestamp for each block. Calculate the time difference in milliseconds between the current block timestamp and the previous block timestamp. Exclude the first block from results since it has no previous block for comparison
- **Key fields**: `block_timestamp` (current block time), `previous_timestamp` (previous block time), `block_time` (millisecond difference between consecutive blocks)

### Component C: Daily aggregation
- **Purpose**: Group individual block times into daily averages
- **Logic**: Truncate block timestamps to daily boundaries using timestamp truncation. Group all blocks by their truncated daily timestamp and calculate the average block time in milliseconds for each day. Add standardized metadata fields including chain identifier, market sector, and business segment classifications
- **Key fields**: `timestamp` (daily boundary), `block_time` (average milliseconds per block for the day), `chain_id` ('berachain'), `market_sector_id` ('blockchains_l1'), `business_segment_id` ('blockchain')

### Final aggregation
- **Combining components**: The calculation flows sequentially from raw block extraction to individual block time calculation to daily aggregation without requiring joins between components
- **Currency conversion**: Not applicable - block time is measured in milliseconds, not monetary units
- **Time aggregation**: Block timestamps are truncated to daily boundaries, with all block times within each 24-hour period averaged together
- **Final calculation**: The final metric represents the average time in milliseconds between consecutive blocks for each day, standardized using the finalize_metric_block_time macro with a 'fill_zeros' strategy to handle missing data and filtered by chain availability to exclude unreliable data periods

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

avg(block_timestamp - previous_block_timestamp)

BerachainBERA

Block time

Block time

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