0.7.57
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@@ -196,7 +196,9 @@ WHERE de.protocol_name = 'meteora_dlmm'
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'meteora_dlmm.swap_exact_out',
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'meteora_dlmm.swap_exact_out2',
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'meteora_dlmm.swap_with_price_impact',
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'meteora_dlmm.swap_with_price_impact2'
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'meteora_dlmm.swap_with_price_impact2',
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'meteora_dlmm.swap_event',
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'meteora_dlmm.swap2_evt'
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)
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GROUP BY de.event_kind
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HAVING trade_count > 0 OR candle_count > 0
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@@ -268,7 +270,32 @@ GROUP BY de.event_kind
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HAVING fee_count > 0 OR reward_count > 0
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ORDER BY de.event_kind;
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-- 13. Global watchlist after replay.
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-- 13. Limit/orderbook no trade/candle double-count. Target: empty.
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SELECT
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de.event_kind,
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COUNT(DISTINCT te.id) AS trade_count,
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COUNT(DISTINCT pc.id) AS candle_count,
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COUNT(DISTINCT obe.id) AS orderbook_count,
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MIN(tx.signature) AS sample_signature
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FROM k_sol_dex_decoded_events de
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JOIN k_sol_chain_transactions tx ON tx.id = de.transaction_id
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LEFT JOIN k_sol_trade_events te ON te.decoded_event_id = de.id
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LEFT JOIN k_sol_pair_candles pc ON pc.pair_id = te.pair_id
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LEFT JOIN k_sol_orderbook_events obe ON obe.decoded_event_id = de.id
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WHERE de.protocol_name = 'meteora_dlmm'
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AND (
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de.event_kind LIKE '%limit_order%'
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OR de.event_kind IN (
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'meteora_dlmm.place_limit_order_evt',
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'meteora_dlmm.cancel_limit_order_evt',
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'meteora_dlmm.close_limit_order_evt'
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)
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)
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GROUP BY de.event_kind
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HAVING trade_count > 0 OR candle_count > 0
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ORDER BY trade_count DESC, candle_count DESC, de.event_kind;
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-- 14. Global watchlist after replay.
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SELECT
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COALESCE(json_extract(de.payload_json, '$.upstreamDecoderCode'), de.protocol_name) AS backlog_decoder,
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de.event_kind,
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@@ -283,3 +310,63 @@ WHERE de.protocol_name IN ('upstream_git', 'meteora_dlmm')
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GROUP BY backlog_decoder, de.event_kind, upstream_entry_name, upstream_discriminator_hex
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ORDER BY decoded_count DESC, backlog_decoder, de.event_kind
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LIMIT 100;
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-- 15. Coverage observed > materialized explained by failed transactions.
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-- The final accepted residual is close_bin_array: 16 observed / 14 materialized,
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-- with 2 failed transactions Custom 6015 and 0 business materialization on failed tx.
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SELECT
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ce.entry_name,
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ce.entry_kind,
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ce.event_family,
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ce.expected_db_target,
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ce.local_event_kind,
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ce.discriminator_hex,
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ce.observed_count,
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ce.materialized_count,
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ce.observed_count - ce.materialized_count AS missing_count
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FROM k_sol_dex_event_coverage_entries ce
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WHERE ce.decoder_code = 'meteora_dlmm'
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AND ce.observed_count > ce.materialized_count
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AND ce.observed_count > 0
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ORDER BY missing_count DESC, ce.entry_kind, ce.entry_name, ce.discriminator_hex;
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-- 16. close_bin_array success/failed split.
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-- Final acceptable result:
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-- success rows -> decoded_count = lifecycle_count = 14
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-- failed rows -> decoded_count = 2, lifecycle_count = 0
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SELECT
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de.event_kind,
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tx.err_json,
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COUNT(*) AS decoded_count,
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COUNT(DISTINCT ple.id) AS lifecycle_count,
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MIN(tx.signature) AS sample_signature
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FROM k_sol_dex_decoded_events de
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JOIN k_sol_chain_transactions tx
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ON tx.id = de.transaction_id
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LEFT JOIN k_sol_pool_lifecycle_events ple
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ON ple.decoded_event_id = de.id
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WHERE de.protocol_name = 'meteora_dlmm'
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AND de.event_kind = 'meteora_dlmm.close_bin_array'
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GROUP BY de.event_kind, tx.err_json
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ORDER BY decoded_count DESC;
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-- 17. Logical duplicate coverage rows. Target: empty.
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SELECT
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decoder_code,
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COALESCE(program_id, '') AS program_id,
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entry_kind,
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entry_name,
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COALESCE(discriminator_hex, '') AS discriminator_hex,
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COALESCE(local_event_kind, '') AS local_event_kind,
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COUNT(*) AS duplicate_count
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FROM k_sol_dex_event_coverage_entries
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WHERE decoder_code = 'meteora_dlmm'
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GROUP BY
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decoder_code,
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COALESCE(program_id, ''),
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entry_kind,
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entry_name,
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COALESCE(discriminator_hex, ''),
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COALESCE(local_event_kind, '')
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HAVING COUNT(*) > 1
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ORDER BY duplicate_count DESC, entry_kind, entry_name, discriminator_hex;
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