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4d2df03ede
nft-deal-score/scratch.sql
flipside-kellen 4d2df03ede updating data struture
2022-04-20 15:47:18 -07:00

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SQL
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WITH base AS (
SELECT native_to_address, COUNT(1) AS n
FROM thorchain.swaps
WHERE block_timestamp >= '2022-04-01'
GROUP BY 1
)
select b.n, s.* from thorchain.swaps s
JOIN base b ON b.native_to_address = s.native_to_address
where block_timestamp >= '2022-04-10'
ORDER BY block_timestamp, n, tx_id
LIMIT 100
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_dev_db.thorchain.liquidity_actions
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_dev_db.thorchain.liquidity_actions
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_dev_db.thorchain.bond_actions
SELECT
https://app.flipsidecrypto.com/dashboard/small-lp-actions-LD1XQ9
https://app.flipsidecrypto.com/dashboard/pool-ranks-UbtLg9
https://app.flipsidecrypto.com/dashboard/price-shift-_-JpTq
https://app.flipsidecrypto.com/dashboard/tho-rchain-average-age-of-synth-holders-Z2AXIx
https://app.flipsidecrypto.com/dashboard/thor-64-standardized-tvl-over-time-all-pools-Zf6w-L
https://app.flipsidecrypto.com/dashboard/tho-rchain-pool-ranks-RNNzza
https://app.flipsidecrypto.com/dashboard/thorchain-synth-mints-burns-aH0lCY
https://discord.com/channels/889577356681945098/889577399308656662/951960381411192842
solana-keygen recover 'prompt:?key=3/0' --outfile ~/.config/solana/tmp.json
SELECT *
, instructions[0]:parsed:info:lamports / POWER(10, 9) AS sol_amount
FROM solana.fact_transactions
WHERE block_timestamp >= '2022-01-02'
AND tx_id = '5H6UQqbxa2wtryax6SAZgjXB9B6Za4ip6GsheqopAsbLCrLMPvYf35H551SaAKNy6bi6BceRGtkwwP9LRoN7RiVo'
SELECT *
FROM solana.fact_transfers
WHERE block_timestamp >= '2022-01-02'
AND tx_id = '393xRouisz4DuMxzARAqPy7FVYQZtkfpmAMuDXXj39uvASFYtMijHM9hyVzXSocsB4fk2woLNfnWTM4qXJxJsWBw'
SELECT lp.tx_id
, lp.signers[0] as signer
, t.instructions[0]:parsed:info:lamports / POWER(10, 9) AS sol_amount
FROM solana.fact_staking_lp_actions lp
JOIN solana.fact_transactions t ON t.tx_id = lp.tx_id
WHERE lp.block_timestamp >= '2022-01-01'
AND lp.event_type = 'delegate'
AND tx_id = '393xRouisz4DuMxzARAqPy7FVYQZtkfpmAMuDXXj39uvASFYtMijHM9hyVzXSocsB4fk2woLNfnWTM4qXJxJsWBw'
LIMIT 10
sudo apt-get build-dep python E: You must put some 'deb-src' URIs in your sources.list
SELECT project_name
, COUNT(1) AS n
, SUM( CASE WHEN address IS NULL THEN 1 ELSE 0 END) AS n_nulls
FROM crosschain.address_labels
WHERE blockchain = 'solana'
AND label_subtype = 'nf_token_contract'
GROUP BY 1
-- MEv1 De-Listing
WITH mints AS (
SELECT DISTINCT project_name
, mint
, token_id
FROM solana.dim_nft_metadata
)
SELECT pre_token_balances[0]:mint::string AS mint
, t.*
, m.project_name
, m.token_id
FROM solana.fact_transactions t
JOIN mints m ON m.mint = t.pre_token_balances[0]:mint::string
WHERE block_timestamp >= CURRENT_DATE - 30
AND tx_id = '3CxhnTCXYX1zH6HbNESFsZLwdHfTe7RUYF8tAgB168hciVjUGggp2PwVEsnDvpd2kNqMha7kH2be7NtSTppAnXzn'
AND instructions[0]:data = 'TE6axTojnpk'
AND instructions[0]:programId = 'MEisE1HzehtrDpAAT8PnLHjpSSkRYakotTuJRPjTpo8'
AND succeeded = TRUE
LIMIT 100
ENwHiaH9NA9veUqRzGozjWnTuR9xcNvHcPZVFMi3Ca9L
WITH mints AS (
SELECT DISTINCT project_name
, mint
, token_id
FROM solana.dim_nft_metadata
)
SELECT instructions[0]:data AS data
, COUNT(1) AS n
, COUNT(1) AS nn
FROM solana.fact_transactions t
JOIN mints m ON m.mint = t.pre_token_balances[0]:mint::string
WHERE block_timestamp >= '2022-04-17'
AND instructions[0]:programId = 'M2mx93ekt1fmXSVkTrUL9xVFHkmME8HTUi5Cyc5aF7K'
AND succeeded = TRUE
GROUP BY 1
ORDER BY 2 DESC
-- MEv2 De-Listing
WITH mints AS (
SELECT DISTINCT project_name
, mint
, token_id
FROM solana.dim_nft_metadata
), rem AS (
SELECT pre_token_balances[0]:mint::string AS mint
, m.project_name
, m.token_id
, t.tx_id AS remove_tx
, block_timestamp AS remove_time
, ROW_NUMBER() OVER (PARTITION BY mint ORDER BY block_timestamp DESC) AS rn
FROM solana.fact_transactions t
JOIN mints m ON m.mint = t.pre_token_balances[0]:mint::string
WHERE block_timestamp >= CURRENT_DATE - 3
AND LEFT(instructions[0]:data::string, 4) IN ('ENwH','3GyW')
AND instructions[0]:programId = 'M2mx93ekt1fmXSVkTrUL9xVFHkmME8HTUi5Cyc5aF7K'
), add AS (
SELECT pre_token_balances[0]:mint::string AS mint
, m.project_name
, m.token_id
, t.tx_id AS listing_tx
, block_timestamp AS listing_time
, ROW_NUMBER() OVER (PARTITION BY mint ORDER BY block_timestamp DESC) AS rn
FROM solana.fact_transactions t
JOIN mints m ON m.mint = t.pre_token_balances[0]:mint::string
WHERE block_timestamp >= CURRENT_DATE - 3
AND LEFT(instructions[0]:data::string, 4) IN ('2B3v')
AND instructions[0]:programId = 'M2mx93ekt1fmXSVkTrUL9xVFHkmME8HTUi5Cyc5aF7K'
AND succeeded = TRUE
)
SELECT a.*
, r.remove_tx
, r.remove_time
, CASE WHEN r.remove_time IS NULL OR a.listing_time > r.remove_time THEN 1 ELSE 0 END AS is_listed
FROM add a
LEFT JOIN rem r ON r.mint = a.mint AND r.rn = 1
WHERE a.rn = 1
thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj
WITH base AS (
SELECT from_address AS address
, block_timestamp::date AS date
, -from_amount AS amount
, 'From Swap' AS tx_type
FROM thorchain.swaps
WHERE from_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
AND from_asset = 'THOR.RUNE'
UNION ALL
SELECT native_to_address AS address
, block_timestamp::date AS date
, to_amount AS amount
, 'To Swap' AS tx_type
FROM thorchain.swaps
WHERE native_to_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
AND to_asset = 'THOR.RUNE'
UNION ALL
SELECT from_address AS address
, block_timestamp::date AS date
, -rune_amount AS amount
, 'From Transfer' AS tx_type
FROM thorchain.transfers
WHERE from_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
UNION ALL
SELECT to_address AS address
, block_timestamp::date AS date
, rune_amount AS amount
, 'To Transfer' AS tx_type
FROM thorchain.transfers
WHERE to_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
)
SELECT *
FROM base
ORDER BY date DESC
68. [Hard] $RUNE Distribution
Calculate the distribution of $RUNE holdings by address. Include RUNE that is in liquidity pools. (e.g. if I have 100 $RUNE in my wallet and LP 50, I should still be considered to be holding 100). In terms of charts, feel free to create a histogram or whichever visual you think works best!
Hint: use thorchain.transfers and thorchain.liquidity_actions
70. [Hard] Weighted-average LP duration
What is the average duration of liquidity held in each pool, weighted by the size of the LP?
Hint: use thorchain.liquidity_actions
69. [Medium] LP Size Distribution
What is the current distribution of LP size for each pool? You will have to use both 'add_liquidity' and 'remove_liquidity' to determine which LPs are stil current.
Hint: use thorchain.liquidity_actions
71. [Easy] Block Rewards vs Swap Fees
Breakdown the yield from block rewards vs swap fees, both total and by pool. Show how the proportions have changed over time since the network started.
Hint: use thorchain.block_rewards
72. [Medium] Swap Volume vs LP Rewards
Chart the weekly swap volume and LP rewards on the same chart. What is the relationship between the two?
Hint: use thorchain.daily_pool_stats to get swap volume and earnings_to_pools from thorchain.daily_earnings to get LP rewards
73. [Hard] Realized APY
Visualize the realized APY of LP-ers that have removed liquidity from THORChain. What was their actual APY vs HODL (accounting for impermanent loss) when you pro-rate it for how long they were LP-ing for? Are certain pools out-performing others?
Hint: use thorchain.liquidity_actions
SELECT *
FROM THORCHAIN.DAILY_POOL_STATS
WHERE pool_name ilike '%luna%'
ORDER BY day DESC
WITH base AS (
SELECT from_address AS address
, block_timestamp::date AS date
, rune_amount AS lp_amount
, 'Add LP' AS tx_type
FROM thorchain.liquidity_actions
WHERE from_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
AND lp_action = 'add_liquidity'
UNION ALL
SELECT from_address AS address
, block_timestamp::date AS date
, -rune_amount AS lp_amount
, 'Rem LP' AS tx_type
FROM thorchain.liquidity_actions
WHERE from_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
AND lp_action = 'remove_liquidity'
UNION ALL
SELECT native_to_address AS address
, block_timestamp::date AS date
, to_amount AS amount
, 'To Swap' AS tx_type
FROM thorchain.swaps
WHERE native_to_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
AND to_asset = 'THOR.RUNE'
UNION ALL
SELECT from_address AS address
, block_timestamp::date AS date
, -rune_amount AS amount
, 'From Transfer' AS tx_type
FROM thorchain.transfers
WHERE from_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
UNION ALL
SELECT to_address AS address
, block_timestamp::date AS date
, rune_amount AS amount
, 'To Transfer' AS tx_type
FROM thorchain.transfers
WHERE to_address = 'thor12209cxpf4mpm8qxdyzmm4k8mfuyjt4fysnwyjj'
)
SELECT *
FROM base
ORDER BY date DESC
-- 2B3v: listing
-- ENwH: de-listing
-- 3GyW: sale
WITH mints AS (
SELECT DISTINCT project_name
, mint
, token_id
FROM solana.dim_nft_metadata
)
SELECT pre_token_balances[0]:mint::string AS mint
, t.*
, m.project_name
, m.token_id
FROM solana.fact_transactions t
JOIN mints m ON m.mint = t.pre_token_balances[0]:mint::string
WHERE block_timestamp >= CURRENT_DATE - 2
AND tx_id = '3CxhnTCXYX1zH6HbNESFsZLwdHfTe7RUYF8tAgB168hciVjUGggp2PwVEsnDvpd2kNqMha7kH2be7NtSTppAnXzn'
AND LEFT(instructions[0]:data::string, 4) IN ('2B3v')
AND instructions[0]:programId = 'M2mx93ekt1fmXSVkTrUL9xVFHkmME8HTUi5Cyc5aF7K'
AND succeeded = TRUE
LIMIT 100
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.liquidity_actions
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.prices
liquidity_actions
bond_actions
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.bond_actions
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.pool_block_balances
WHERE rune_amount > 0 and COALESCE(rune_amount_usd, 0) = 0
SELECT MIN(block_timestamp) AS mn
, MAX(block_timestamp) AS mx
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.pool_block_balances
WHERE asset_amount > 0 and COALESCE(asset_amount_usd, 0) = 0
SELECT *
FROM flipside_prod_db.thorchain.pool_block_balances
WHERE (asset_amount > 0 and COALESCE(asset_amount_usd, 0) = 0)
OR (rune_amount > 0 and COALESCE(rune_amount_usd, 0) = 0)
ORDER BY block_timestamp DESC
LIMIT 10000
SELECT block_timestamp::date AS date
, COUNT(1) AS n
FROM flipside_prod_db.thorchain.pool_block_balances
WHERE (asset_amount > 0 and COALESCE(asset_amount_usd, 0) = 0)
OR (rune_amount > 0 and COALESCE(rune_amount_usd, 0) = 0)
ORDER BY block_timestamp DESC
GROUP BY 1
ORDER BY 1
WITH active_vault_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'active_vault_events' AS "table"
FROM thorchain.active_vault_events),
add_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'add_events' AS "table"
FROM thorchain.add_events),
asgard_fund_yggdrasil_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'asgard_fund_yggdrasil_events' AS "table"
FROM thorchain.asgard_fund_yggdrasil_events),
block_pool_depths_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'block_pool_depths' AS "table"
FROM thorchain.block_pool_depths),
block_rewards_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'block_rewards' AS "table"
FROM thorchain.block_rewards),
bond_actions_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'bond_actions' AS "table"
FROM thorchain.bond_actions),
bond_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'bond_events' AS "table"
FROM thorchain.bond_events),
constants_cte AS
(SELECT 'NA for this table' AS recency, 'NA for this table' AS start_time,
'constants' AS "table"
FROM thorchain.constants),
daily_earnings_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'daily_earnings' AS "table"
FROM thorchain.daily_earnings),
daily_pool_stats_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'daily_pool_stats' AS "table"
FROM thorchain.daily_pool_stats),
daily_tvl_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'daily_tvl' AS "table"
FROM thorchain.daily_tvl),
errata_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'errata_events' AS "table"
FROM thorchain.errata_events),
fee_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'fee_events' AS "table"
FROM thorchain.fee_events),
gas_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'gas_events' AS "table"
FROM thorchain.gas_events),
inactive_vault_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'inactive_vault_events' AS "table"
FROM thorchain.inactive_vault_events),
liquidity_actions_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'liquidity_actions' AS "table"
FROM thorchain.liquidity_actions),
message_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'message_events' AS "table"
FROM thorchain.message_events),
new_node_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'new_node_events' AS "table"
FROM thorchain.new_node_events),
outbound_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'outbound_events' AS "table"
FROM thorchain.outbound_events),
pending_liquidity_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'pending_liquidity_events' AS "table"
FROM thorchain.pending_liquidity_events),
pool_balance_change_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'pool_balance_change_events' AS "table"
FROM thorchain.pool_balance_change_events),
pool_block_balances_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'pool_block_balances' AS "table"
FROM thorchain.pool_block_balances),
pool_block_fees_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'pool_block_fees' AS "table"
FROM thorchain.pool_block_fees),
pool_block_statistics_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'pool_block_statistics' AS "table"
FROM thorchain.pool_block_statistics),
pool_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'pool_events' AS "table"
FROM thorchain.pool_events),
prices_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'prices' AS "table"
FROM thorchain.prices),
refund_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'refund_events' AS "table"
FROM thorchain.refund_events),
reserve_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'reserve_events' AS "table"
FROM thorchain.reserve_events),
rewards_event_entries_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'rewards_event_entries' AS "table"
FROM thorchain.rewards_event_entries),
rewards_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'rewards_events' AS "table"
FROM thorchain.rewards_events),
set_ip_address_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'set_ip_address_events' AS "table"
FROM thorchain.set_ip_address_events),
set_mimir_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'set_mimir_events' AS "table"
FROM thorchain.set_mimir_events),
set_node_keys_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'set_node_keys_events' AS "table"
FROM thorchain.set_node_keys_events),
set_version_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'set_version_events' AS "table"
FROM thorchain.set_version_events),
slash_amounts_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'slash_amounts' AS "table"
FROM thorchain.slash_amounts),
stake_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'stake_events' AS "table"
FROM thorchain.stake_events),
swap_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'swap_events' AS "table"
FROM thorchain.swap_events),
swaps_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'swaps' AS "table"
FROM thorchain.swaps),
switch_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'switch_events' AS "table"
FROM thorchain.switch_events),
thorname_change_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'thorname_change_events' AS "table"
FROM thorchain.thorname_change_events),
total_block_rewards_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'total_block_rewards' AS "table"
FROM thorchain.total_block_rewards),
total_value_locked_cte AS
(SELECT max(day)::string AS recency, min(day)::string AS start_time,
'total_value_locked' AS "table"
FROM thorchain.total_value_locked),
transfer_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'transfer_events' AS "table"
FROM thorchain.transfer_events),
transfers_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'transfers' AS "table"
FROM thorchain.transfers),
unstake_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'unstake_events' AS "table"
FROM thorchain.unstake_events),
update_node_account_status_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'update_node_account_status_events' AS "table"
FROM thorchain.update_node_account_status_events),
upgrades_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'upgrades' AS "table"
FROM thorchain.upgrades),
validator_request_leave_events_cte AS
(SELECT max(block_timestamp)::string AS recency, min(block_timestamp)::string AS start_time,
'validator_request_leave_events' AS "table"
FROM thorchain.validator_request_leave_events)
SELECT *
FROM active_vault_events_cte
UNION
SELECT *
FROM add_events_cte
UNION
SELECT *
FROM asgard_fund_yggdrasil_events_cte
UNION
SELECT *
FROM block_pool_depths_cte
UNION
SELECT *
FROM block_rewards_cte
UNION
SELECT *
FROM bond_actions_cte
UNION
SELECT *
FROM bond_events_cte
UNION
SELECT *
FROM constants_cte
UNION
SELECT *
FROM daily_earnings_cte
UNION
SELECT *
FROM daily_pool_stats_cte
UNION
SELECT *
FROM daily_tvl_cte
UNION
SELECT *
FROM errata_events_cte
UNION
SELECT *
FROM fee_events_cte
UNION
SELECT *
FROM gas_events_cte
UNION
SELECT *
FROM inactive_vault_events_cte
UNION
SELECT *
FROM liquidity_actions_cte
UNION
SELECT *
FROM message_events_cte
UNION
SELECT *
FROM new_node_events_cte
UNION
SELECT *
FROM outbound_events_cte
UNION
SELECT *
FROM pending_liquidity_events_cte
UNION
SELECT *
FROM pool_balance_change_events_cte
UNION
SELECT *
FROM pool_block_balances_cte
UNION
SELECT *
FROM pool_block_fees_cte
UNION
SELECT *
FROM pool_block_statistics_cte
UNION
SELECT *
FROM pool_events_cte
UNION
SELECT *
FROM prices_cte
UNION
SELECT *
FROM refund_events_cte
UNION
SELECT *
FROM reserve_events_cte
UNION
SELECT *
FROM rewards_event_entries_cte
UNION
SELECT *
FROM rewards_events_cte
UNION
SELECT *
FROM set_ip_address_events_cte
UNION
SELECT *
FROM set_mimir_events_cte
UNION
SELECT *
FROM set_node_keys_events_cte
UNION
SELECT *
FROM set_version_events_cte
UNION
SELECT *
FROM slash_amounts_cte
UNION
SELECT *
FROM stake_events_cte
UNION
SELECT *
FROM swap_events_cte
UNION
SELECT *
FROM swaps_cte
UNION
SELECT *
FROM switch_events_cte
UNION
SELECT *
FROM thorname_change_events_cte
UNION
SELECT *
FROM total_block_rewards_cte
UNION
SELECT *
FROM total_value_locked_cte
UNION
SELECT *
FROM transfer_events_cte
UNION
SELECT *
FROM transfers_cte
UNION
SELECT *
FROM unstake_events_cte
UNION
SELECT *
FROM update_node_account_status_events_cte
UNION
SELECT *
FROM upgrades_cte
UNION
SELECT *
FROM validator_request_leave_events_cte
SELECT s.block_timestamp::date AS date
, COUNT(1) AS num_sales
, SUM(sales_amount) AS volume
, volume / num_sales AS avg_sale_price
FROM solana.dim_nft_metadata m
JOIN solana.fact_nft_sales s ON s.mint_address = m.mint_address
WHERE m.project_name = 'Cets On Creck'
GROUP BY 1
21:33:53 Failure in test dbt_utils_unique_combination_of_columns_thorchain__bond_events_TX_ID__BLOCK_ID (models/thorchain/thorchain__bond_events.yml)
21:33:53 Got 6806 results, configured to fail if != 0
21:33:53
21:33:53 compiled SQL at target/compiled/sql_models/models/thorchain/thorchain__bond_events.yml/dbt_utils_unique_combination_o_4c33313a0a68966742499a57f9c413f2.sql
21:33:53
21:33:53 Failure in test dbt_utils_unique_combination_of_columns_thorchain__daily_pool_stats_DAY__POOL_NAME (models/thorchain/thorchain__daily_pool_stats.yml)
21:33:53 Got 103 results, configured to fail if != 0
21:33:53
21:33:53 compiled SQL at target/compiled/sql_models/models/thorchain/thorchain__daily_pool_stats.yml/dbt_utils_unique_combination_o_091de1e000a8d4666a014c0688a50b0f.sql
21:33:53
21:33:53 Failure in test dbt_utils_unique_combination_of_columns_thorchain__pool_balance_change_events_BLOCK_ID__ASSET__REASON (models/thorchain/thorchain__pool_balance_change_events.yml)
21:33:53 Got 870 results, configured to fail if != 0
21:33:53
21:33:53 compiled SQL at target/compiled/sql_models/models/thorchain/thorchain__pool_balance_change_events.yml/dbt_utils_unique_combination_o_309a465be5fc79461b0d64ac3c9308c9.sql
21:33:53
21:33:53 Failure in test dbt_utils_unique_combination_of_columns_thorchain__pool_block_statistics_DAY__ASSET (models/thorchain/thorchain__pool_block_statistics.yml)
21:33:53 Got 103 results, configured to fail if != 0
21:33:53
21:33:53 compiled SQL at target/compiled/sql_models/models/thorchain/thorchain__pool_block_statistics.yml/dbt_utils_unique_combination_o_e0e0f1f5a63053051ee1a1a182029461.sql
21:33:53
21:33:53 Failure in test dbt_utils_unique_combination_of_columns_thorchain__refund_events_TX_ID__BLOCK_ID__TX_ID__TO_ADDRESS__FROM_ADDRESS__ASSET__ASSET_E8__ASSET_2ND (models/thorchain/thorchain__refund_events.yml)
21:33:53 Got 1 result, configured to fail if != 0
21:33:53
21:33:53 compiled SQL at target/compiled/sql_models/models/thorchain/thorchain__refund_events.yml/dbt_utils_unique_combination_o_1602ea813e0daecea06daa5bf0ce53c0.sql
21:33:53
thorchain__bond_events: dupes come from tx = "0000000000000000000000000000000000000000000000000000000000000000". did not implement any fix
thorchain__daily_pool_stats: dupes come from pool_block_statistics dupes, which I implemented a fix for
thorchain__pool_balance_change_events: have incorrect test, which I removed
thorchain__pool_block_statistics: implemented fix
thorchain__refund_events: not sure what the issue is there. need to do more digging
WITH base AS (
SELECT *
, synth_amount / asset_amount AS ratio
, ROW_NUMBER() OVER (PARTITION BY pool_name ORDER BY block_timestamp DESC) AS rn
FROM THORCHAIN.POOL_BLOCK_BALANCES
WHERE block_timestamp >= '2022-04-04'
ORDER BY block_timestamp DESC, ratio DESC
LIMIT 100
)
SELECT *
FROM base
WHERE rn = 1
SELECT pool_name
, SUM(COALESCE(rune_amount_usd, 0) + COALESCE(asset_amount_usd, 0)) AS amount_usd
, SUM(COALESCE(il_protection_usd, 0)) AS il_protection_usd
FROM thorchain.liquidity_actions
WHERE lp_action = 'remove_liquidity'
GROUP BY 1
goes as profile.yml in ~/.dbt/
dbt deps to install dependencies
dbt test
dbt run --full-refresh -s models/thorchain
dbt test -s models/thorchain
SELECT *
SELECT MIN(block_timestamp) AS mn
, MIN(block_timestamp) AS mn2
FROM thorchain.swaps
WHERE 1=1
AND (
from_asset LIKE '%/%'
OR to_asset LIKE '%/%'
)
LIMIT 10
SELECT tx_id
, COUNT(1) AS n
FROM FLIPSIDE_DEV_DB.BRONZE_MIDGARD_2_6_9_20220405.MIDGARD_FEE_EVENTS
GROUP BY 1
HAVING COUNT(1) > 1
ORDER BY 2 DESC
SELECT pool_name
, COUNT(1) AS n
, MAX(block_timestamp) AS m
, MAX(block_timestamp) AS mm
FROM thorchain.pool_block_statistics
GROUP BY 1
SELECT POOL_NAME
, COUNT(1) AS n
, MAX(BLOCK_TIMESTAMP) AS m
, MAX(BLOCK_TIMESTAMP) AS mm
FROM thorchain.block_pool_depths
GROUP BY 1
ORDER BY 2 DESC
SELECT COUNT(1) AS n
, COUNT(1) AS nn
FROM thorchain.pool_block_statistics
SELECT pool_name
, COUNT(1) AS n
, MAX(block_timestamp) AS mx
, MIN(block_timestamp) AS mn
FROM thorchain.prices
GROUP BY 1
ORDER BY 2 DESC
WITH base AS (
SELECT *
, ROW_NUMBER() OVER (PARTITION BY pool_name ORDER BY block_timestamp DESC) AS rn
FROM thorchain.pool_block_balances
WHERE block_timestamp >= '2022-04-01'
)
SELECT *
FROM base
WHERE rn = 1
SELECT DISTINCT pool_name
FROM thorchain.pool_block_balances
SELECT DISTINCT pool_name
FROM thorchain.pool_block_depths
SELECT DISTINCT pool_name
FROM FLIPSIDE_DEV_DB.BRONZE_MIDGARD_2_6_9_20220405.MIDGARD_BLOCK_POOL_DEPTHS
SELECT COUNT(1) AS n FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_block_pool_depths
SELECT COUNT(1) AS n FROM flipside_dev_db.bronze_midgard_2_6_9_20220405.midgard_block_pool_depths
SELECT COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_block_pool_depths
SELECT *
FROM BRONZE_MIDGARD_2_6_9.MIDGARD_SWAP_EVENTS
WHERE memo like '=:TERRA/LUNA:%:%'
AND pool like 'TERRA/LUNA'
ORDER BY block_timestamp DESC
LIMIT 100
WITH base AS (
SELECT *
, CASE WHEN memo like '=:TERRA/LUNA:%:%' THEN 1 ELSE 0 END AS is_synth
FROM BRONZE_MIDGARD_2_6_9.MIDGARD_SWAP_EVENTS
WHERE block_timestamp >= '2022-04-01'
AND pool like 'TERRA/LUNA%'
LIMIT 1000
)
SELECT is_synth, COUNT(1) AS
SELECT asset_e8 / POWER(10, 8) AS asset_amt
, rune_e8 / POWER(10, 8) AS rune_amt
, synth_e8 / POWER(10, 8) AS synth_amt
, synth_amt / asset_amt AS synth_ratio
, *
FROM bronze_midgard_2_6_9.midgard_block_pool_depths
ORDER BY block_timestamp DESC, rune_e8 DESC
LIMIT 40
-- thorchain__refund_events
not sure what the issue is there. need to do more digging
SELECT *
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_refund_events
LIMIT 10
SELECT tx
, block_timestamp
, to_addr
, from_addr
, asset
, asset_e8
, COALESCE(asset_2nd, '')
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_refund_events
GROUP BY 1, 2, 3, 4, 5, 6, 7
HAVING COUNT(1) > 1
SELECT *
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_refund_events
WHER tx = 'FBB528600711E455908F90340470CED18D24801F62ED123D7BF9A5F5E68466F1'
WITH base AS (
SELECT tx
, block_timestamp
, COUNT(1) AS n
, COUNT(1) AS nnn
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_bond_events
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
)
SELECT tx
, COUNT(1) AS n
, COUNT(1) AS nn
FROM base
GROUP BY 1
HAVING COUNT(1) > 1
ORDER BY 2 DESC
-- has 103 dupes
SELECT day
, asset
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.thorchain.pool_block_statistics
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
-- has 134 dupes, fixed implemented by getting the latest status in the day
SELECT date(block_timestamp) AS day
, asset AS pool_name
, block_id
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.thorchain.pool_events
GROUP BY 1, 2, 3
HAVING COUNT(1) > 1
ORDER BY 4 DESC
-- thorchain__pool_balance_change_events -> incorrect test
SELECT block_timestamp
, reason
, asset
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_pool_balance_change_events
GROUP BY 1, 2, 3
HAVING COUNT(1) > 1
ORDER BY 4 DESC
SELECT *
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_pool_balance_change_events
WHERE block_timestamp = 1647355019937352448
AND asset = 'ETH.ETH'
AND reason = 'burn dust'
SELECT MAX(day) AS d
, MAX(day) AS dd
FROM flipside_dev_db.thorchain.daily_pool_stats
SELECT day
, pool_name
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.thorchain.daily_pool_stats
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
SELECT day
, pool_name
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.thorchain.daily_pool_stats
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
SELECT day
, asset
, COUNT(1) AS n
, COUNT(1) AS nn
FROM flipside_dev_db.thorchain.pool_block_statistics
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
WITH base AS (
SELECT tx
, block_timestamp
, COUNT(1) AS n
, COUNT(1) AS nnn
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_bond_events
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
)
SELECT tx
, COUNT(1) AS n
, COUNT(1) AS nn
FROM base
GROUP BY 1
HAVING COUNT(1) > 1
ORDER BY 2 DESC
SELECT *
FROM flipside_dev_db.bronze_midgard_2_6_9.midgard_bond_events
WHERE tx = '0000000000000000000000000000000000000000000000000000000000000000'
LIMIT 1000
SELECT block_id, tx_id
, COUNT(1) AS n
, COUNT(1) AS nn
FROM thorchain.bond_events
WHERE tx = '0000000000000000000000000000000000000000000000000000000000000000'
GROUP BY 1, 2
HAVING COUNT(1) > 1
ORDER BY 3 DESC
SELECT *
FROM thorchain.bond_events
WHERE tx = '0000000000000000000000000000000000000000000000000000000000000000'
SELECT project_name
, COUNT(1) AS n
, COUNT(1) AS nn
FROM solana.dim_nft_metadata
GROUP BY 1
ORDER BY 1
SELECT tx_id
, n.mint
, l.project_name AS lp
, m.project_name AS mp
, n.block_timestamp AS sale_date
, (inner_instruction:instructions[0]:parsed:info:lamports
+ inner_instruction:instructions[1]:parsed:info:lamports
+ inner_instruction:instructions[2]:parsed:info:lamports
+ inner_instruction:instructions[3]:parsed:info:lamports) / POWER(10, 9) AS price
FROM solana.nfts n
LEFT JOIN crosschain.address_labels l ON LOWER(n.mint) = LOWER(l.address)
LEFT JOIN solana.dim_nft_metadata m ON LOWER(m.mint) = LOWER(l.address)
WHERE block_timestamp >= CURRENT_DATE - 200
AND instruction:data like '3UjLyJvuY4%'
AND COALESCE(l.project_name, m.project_name) IN ('degods','stoned ape crew','Astrals','Cets On Creck','DeFi Pirates')
LIMIT 100
SELECT tx_id
, s.mint
, l.project_name AS lp
, m.project_name AS mp
, s.block_timestamp AS sale_date
, sales_amount AS price
FROM solana.fact_nft_sales s
LEFT JOIN crosschain.address_labels l ON LOWER(s.mint) = LOWER(l.address)
LEFT JOIN solana.dim_nft_metadata m ON LOWER(m.mint) = LOWER(s.mint)
WHERE block_timestamp >= CURRENT_DATE - 200
AND COALESCE(l.project_name, m.project_name) IN ('degods','stoned ape crew','DeGods','Stoned Ape Crew','Astrals','Cets On Creck','DeFi Pirates')
LIMIT 100
SELECT tx_id
, n.mint
, n.mint
SELECT CAST(token_id AS INT) AS token_id
, token_metadata:Hat AS Hat
, token_metadata:Eyes AS Eyes
, token_metadata:Hair AS Hair
, token_metadata:Skin AS Skin
, token_metadata:Type AS Type
, token_metadata:Cloth AS Cloth
, token_metadata:Mouth AS Mouth
, token_metadata:Necklace AS Necklace
, token_metadata:Specialty AS Background
, token_metadata:"Attribute Count" AS Attribute_Count
FROM solana.dim_nft_metadata
WHERE project_name = 'Aurory'
ORDER BY CAST(token_id AS INT)
SELECT *
FROM thorchain.swaps
WHERE tx_id IN (
'167CF767E6163475F307A6EDC34F37C70B108094A0BE7C8A718C13BFC3213ED1'
, '9426EFC03348B4EAD11E97792B6CAFC049D2719B28CA49E84E6D627F4D1F74F6'
)
SELECT MAX(block_timestamp)
FROM solana.transactions
WHERE block_timestamp >= CURRENT_DATE - 5
SELECT
MAX(block_timestamp) AS n
, MAX(block_timestamp) AS nn
FROM thorchain.swaps
WHERE block_timestamp >= CURRENT_DATE - 10
SELECT to_address
, COUNT(1) AS n
FROM thorchain.swaps
GROUP BY 1
ORDER BY 2 DESC
WHERE tx_id IN (
'167CF767E6163475F307A6EDC34F37C70B108094A0BE7C8A718C13BFC3213ED1'
, '9426EFC03348B4EAD11E97792B6CAFC049D2719B28CA49E84E6D627F4D1F74F6'
)
SELECT *
FROM thorchain.swaps
WHERE to_address = 'bnb1rv89nkw2x5ksvhf6jtqwqpke4qhh7jmudpvqmj'
SELECT *
FROM solana.dim_nft_metadata
WHERE project_name = 'Aurory'
LIMIT 10
SELECT program_id
, COUNT(1) AS n
FROM solana.nfts
WHERE block_timestamp >= '2022-03-01'
AND block_timestamp <= '2022-03-03'
GROUP BY 1
SELECT *
FROM solana.transfers
WHERE block_timestamp >= '2022-03-15'
AND tx_id = 'YuwerNe5KLLj8RFUj97igYm9icMxuYTHAvgy7C2dPMoebUDPmYQ7rXUrHqPuhkytZTZ74iduokutr6gghUDGZvM'
SELECT blockchain
, pool_name
, from_asset
, to_asset
, COUNT(1) AS n
, SUM(to_amount_usd) AS usd
FROM thorchain.swaps
WHERE block_timestamp >= '2022-03-09'
GROUP BY 1, 2, 3, 4
ORDER BY 6 DESC
SELECT *
FROM thorchain.swaps
WHERE block_timestamp >= '2022-03-09'
AND pool_name = 'DOGE.DOGE'
ORDER BY block_timestamp DESC
LIMIT 100
SELECT *
FROM thorchain.swap_events
WHERE memo like '%/%'
LIMIT 100
SELECT *
FROM ethereum.nft_events
SELECT project_name
, COUNT(1) AS n
, SUM(CASE WHEN price_usd >= 1000000 THEN 1000000 ELSE 1000000 END) AS price_usd
FROM ethereum.nft_events
WHERE block_timestamp >= '2022-03-01'
AND price_usd >= 100
GROUP BY 1
ORDER BY 3 DESC
SELECT *
FROM thorchain.block_pool_depths
LIMIT 100
SELECT *
FROM solana.nfts
WHERE block_timestamp >= '2022-03-20'
AND tx_id = '4bjynBRfwRJ24vbYZDMVdrhN5GhZqpHDEtXZHSpNny8GzAr6X8NCBBy4g4jeXVCVmPeNbP1evyUDr6LZxhmwc11q'
SELECT project_name
, COUNT(1) AS n
FROM solana.nft_metadata
GROUP BY 1
ORDER BY 1
SELECT *
FROM solana.transfers
WHERE block_timestamp >= '2021-12-04'
AND block_timestamp <= '2021-12-08'
AND tx_id = '66suFvwSN83rCJ9VXAQXG21fGDYaWfcVbgiHHtfTL2fuLAZri61XuspKHwSPGjRJG7TZpR9dxDqioUSSLaBJB2Ue'
SELECT *
FROM solana.transfers
WHERE block_timestamp >= '2022-02-06'
AND block_timestamp <= '2022-02-10'
AND source = '2L6j3wZXEByg8jycytabZitDh9VVMhKiMYv7EeJh6R2H'
SELECT *
FROM solana.transfers
WHERE block_timestamp >= '2022-02-06'
AND block_timestamp <= '2022-02-10'
AND tx_id = 'BmtiqCyrPMG6tqXdukDQZsCyW1upaWVmjN6FLu62jwj3kiShQacSvCSGLUE3F3YsB8LAopj4yQGs58KjZKZHGAW'
SELECT record_content:results[0]:project_name AS project_name
, COUNT(1) AS n
, COUNT(1) AS n2
FROM bronze.prod_nft_metadata_uploads_1828572827
GROUP BY 1
SELECT *
, instructions[0]:programId AS programId
FROM solana.fact_transactions
WHERE block_timestamp >= '2022-02-24'
AND block_timestamp <= '2022-02-26'
AND tx_id IN (
'5pTUfdXkHfG8WQhThmYW6fkVpp6oheTZRrLYD3mhANJ86XrkV75AQ8HNuj8CasHVrGHXGaep9nsNM4dTaVpYX4AB'
, '9cUctD4sVARDyYQsV2zrpPuTatPS5aYZZuPehupDkUZLNfdRKP8zBmEqR4FnwdsSMEcV6y7VqJ92ap8vpCm5rfB'
)
AND instructions[0]:programId = 'Daovoteq2Y28gJyme6TNUXT9TxXrePiouFuHezkiozci'
SELECT *
, instructions[0]:programId AS programId
FROM solana.fact_transactions
WHERE block_timestamp >= '2022-03-05'
AND block_timestamp <= '2022-02-01'
AND tx_id IN (
'5pTUfdXkHfG8WQhThmYW6fkVpp6oheTZRrLYD3mhANJ86XrkV75AQ8HNuj8CasHVrGHXGaep9nsNM4dTaVpYX4AB'
, '9cUctD4sVARDyYQsV2zrpPuTatPS5aYZZuPehupDkUZLNfdRKP8zBmEqR4FnwdsSMEcV6y7VqJ92ap8vpCm5rfB'
)
AND instructions[0]:programId = 'Daovoteq2Y28gJyme6TNUXT9TxXrePiouFuHezkiozci'
LIMIT 1000
SELECT instructions[0]:accounts[6] AS acct_6
, instructions[0]:data AS data
, COUNT(1) AS n
, SUM(LEN(inner_instruction)) AS total_votes
FROM solana.fact_transactions
WHERE block_timestamp <= '2022-03-05'
AND block_timestamp >= '2022-02-15'
AND instructions[0]:programId = 'Daovoteq2Y28gJyme6TNUXT9TxXrePiouFuHezkiozci'
GROUP BY 1, 2
SELECT instructions[0]:accounts[6] AS acct_6
, instructions[0]:data AS data
, CASE WHEN ARRAY_SIZE(inner_instructions) = 1 THEN '1'
WHEN ARRAY_SIZE(inner_instructions) <= 3 THEN '2-3'
WHEN ARRAY_SIZE(inner_instructions) <= 9 THEN '4-9'
ELSE '10+'
END AS voting_power
, COUNT(1) AS n
FROM solana.fact_transactions
WHERE block_timestamp <= '2022-03-05'
AND block_timestamp >= '2022-02-15'
AND instructions[0]:programId = 'Daovoteq2Y28gJyme6TNUXT9TxXrePiouFuHezkiozci'
AND succeeded = TRUE
GROUP BY 1, 2, 3
SELECT *
FROM
SELECT *
, instructions[0]:programId AS programId
, instructions[0]:accounts[0] AS acct_0
, instructions[0]:accounts[1] AS acct_1
, instructions[0]:accounts[2] AS acct_2
, instructions[0]:accounts[3] AS acct_3
, instructions[0]:accounts[4] AS acct_4
, instructions[0]:accounts[5] AS acct_5
, instructions[0]:accounts[6] AS acct_6
FROM solana.fact_transactions
WHERE block_timestamp <= '2022-03-05'
AND block_timestamp >= '2022-03-02'
AND instructions[0]:programId = 'Daovoteq2Y28gJyme6TNUXT9TxXrePiouFuHezkiozci'
LIMIT 1000
WITH base AS (
SELECT *
, record_content:results[0]:project_name AS project_name
, record_content:results[0]:token_id AS token_id_0
, record_content:results[1]:token_id AS token_id_1
FROM bronze.prod_nft_metadata_uploads_1828572827
WHERE record_content:model:blockchain = 'solana'
AND record_content:results[0]:project_name = 'Solana Monkey Business'
ORDER BY _inserted_timestamp DESC
LIMIT 10
)
SELECT b.*
, CASE WHEN m0.token_id IS NULL THEN 0 ELSE 1 END AS has_entry_0
, CASE WHEN m1.token_id IS NULL THEN 0 ELSE 1 END AS has_entry_1
FROM base b
LEFT JOIN solana.nft_metadata m0 ON m0.token_id = b.token_id_0
AND m0.project_name = b.project_name
LEFT JOIN solana.nft_metadata m1 ON m1.token_id = b.token_id_1
AND m1.project_name = b.project_name
SELECT *
FROM bronze.prod_nft_metadata_uploads_1828572827
WHERE record_content:model:blockchain = 'solana'
AND record_content:results[0]:project_name = 'Solana Monkey Business'
ORDER BY _inserted_timestamp DESC
LIMIT 10
SELECT block_timestamp
FROM thorchain.block_pool_depths
WHERE block_timestamp
order by block_timestamp DESC
GROUP BY 1
LIMIT 100
SELECT contract_name
, COUNT(1) AS n
FROM ethereum.nft_metadata
WHERE contract_name IN ('MutantApeYachtClub','bayc')
GROUP BY 1
SELECT *
FROM ethereum.nft_metadata
WHERE contract_name IN ('MutantApeYachtClub','bayc')
LIMIT 10000
SELECT contract_name
, token_id
, token_metadata:Background AS background
, token_metadata:Clothes AS clother
, token_metadata:Earring AS earring
, token_metadata:Eyes AS eyes
, token_metadata:Fur AS fur
, token_metadata:Hat AS hat
, token_metadata:Mouth AS mouth
FROM ethereum.nft_metadata
WHERE contract_name IN ('MutantApeYachtClub','bayc')
GROUP BY 1
SELECT pretokenbalances[0]:mint AS pre_mint_0
, pretokenbalances[1]:mint AS pre_mint_1
, posttokenbalances[0]:mint AS pos_mint_0
, posttokenbalances[1]:mint AS pos_mint_1
, CASE WHEN NOT COALESCE(pre_mint_0, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pre_mint_0
WHEN NOT COALESCE(pre_mint_1, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pre_mint_1
WHEN NOT COALESCE(pos_mint_0, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pos_mint_0
ELSE pos_mint_1 END
AS clean_mint
, n.*
, inner_instruction:instructions[1]:parsed:info:amount AS amount
FROM solana.nfts n
WHERE block_timestamp >= '2022-03-14'
AND program_id = 'J7RagMKwSD5zJSbRQZU56ypHUtux8LRDkUpAPSKH4WPp'
LIMIT 10000
SELECT *
FROM solana.nfts
WHERE block_timestamp >= '2022-03-17'
AND tx_id = 'TxYhxw8KHyQsvUSSQascYWBdUFbzYSZcVHXFyex3npNRh5ib4mHoTJk6vxH2Eo7zSyZ71KFrvnpHRDNry3AASDN'
{
"index": 4,
"instructions": [
{
"parsed": {
"info": {
"amount": "0",
"authority": "8LXpW8fPk757j5zMGnkLYFaPP46MrmtnG5H8W3LcsbNh",
"destination": "AFf394pRN13JYGQYQ7pRQFHn4keGf5XXYpbASzqxpN2H",
"source": "2S9uN7rZc2ztzipex5rt76nsm9G8vKuz3nZ4GZWekZFA"
},
"type": "transfer"
},
"program": "spl-token",
"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"
},
{
"parsed": {
"info": {
"amount": "9479999999",
"authority": "8LXpW8fPk757j5zMGnkLYFaPP46MrmtnG5H8W3LcsbNh",
"destination": "3BjpoZic969Wh8dvgYApuCKL3v5nzgpLAekvumD44qZJ",
"source": "2S9uN7rZc2ztzipex5rt76nsm9G8vKuz3nZ4GZWekZFA"
},
"type": "transfer"
},
"program": "spl-token",
"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"
},
{
"parsed": {
"info": {
"amount": "1",
"authority": "7Ppgch9d4XRAygVNJP4bDkc7V6htYXGfghX4zzG9r4cH",
"destination": "3B2aKxDj4DH7Mo7R4Twdwvi6FLe7uDkX28FFHEv8UQoT",
"source": "9yj8ZUM1ji2xTwePnHakrGW4gUsiswzvo27orp7v96JW"
},
"type": "transfer"
},
"program": "spl-token",
"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"
},
{
"parsed": {
"info": {
"account": "2S9uN7rZc2ztzipex5rt76nsm9G8vKuz3nZ4GZWekZFA",
"destination": "ExHjH7nZufPmsbTZc1n9R1iWMGJPDaJTeDv3PA75iunH",
"owner": "8LXpW8fPk757j5zMGnkLYFaPP46MrmtnG5H8W3LcsbNh"
},
"type": "closeAccount"
},
"program": "spl-token",
"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"
},
{
"parsed": {
"info": {
"account": "9yj8ZUM1ji2xTwePnHakrGW4gUsiswzvo27orp7v96JW",
"authority": "7Ppgch9d4XRAygVNJP4bDkc7V6htYXGfghX4zzG9r4cH",
"authorityType": "accountOwner",
"newAuthority": "ExHjH7nZufPmsbTZc1n9R1iWMGJPDaJTeDv3PA75iunH"
},
"type": "setAuthority"
},
"program": "spl-token",
"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"
}
]
}
WITH base AS (
SELECT pretokenbalances[0]:mint AS pre_mint_0
, pretokenbalances[1]:mint AS pre_mint_1
, posttokenbalances[0]:mint AS pos_mint_0
, posttokenbalances[1]:mint AS pos_mint_1
, CASE WHEN NOT COALESCE(pre_mint_0, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pre_mint_0
WHEN NOT COALESCE(pre_mint_1, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pre_mint_1
WHEN NOT COALESCE(pos_mint_0, '') IN ('', 'So11111111111111111111111111111111111111112') THEN pos_mint_0
ELSE pos_mint_1 END
AS clean_mint
, n.*
, inner_instruction:instructions[1]:parsed:info:amount AS amount
FROM solana.nfts n
WHERE block_timestamp >= '2022-03-14'
AND program_id = 'J7RagMKwSD5zJSbRQZU56ypHUtux8LRDkUpAPSKH4WPp'
LIMIT 10000
), cleaned AS (
SELECT *
, REPLACE(b.clean_mint, '"', '') AS clean_mint_2
FROM base b
)
SELECT m.token_id
, b.*
FROM cleaned b
JOIN solana.nft_metadata m ON m.mint = clean_mint_2
SELECT *
FROM solana.nft_metadata
WHERE mint = '98ofVuvQr1RiFKkZuehpgUJSkz9LUDqGEef4rvmXpfD7'
SELECT project_name
, token_id
, block_timestamp
, price
FROM ethereum.nft_events
WHERE project_name IN (
'BoredApeYachtClub'
, 'MutantApeYachtClub'
, 'BoredApeKennelClub'
)
SELECT block_timestamp::date AS date
, to_asset
, pool_name
, CASE WHEN memo like '%/%' THEN 1 ELSE 0 END AS is_synth
, COUNT(1) AS n
FROM thorchain.swap_events
WHERE block_timestamp >= '2022-03-09'
GROUP BY 1, 2, 3, 4
ORDER BY 5 DESC
SELECT block_timestamp::date AS date
, CASE WHEN from_asset LIKE '%/%' OR to_asset LIKE '%/%' THEN 1 ELSE 0 END AS is_synth
, COUNT(1) AS n
FROM thorchain.swaps
WHERE block_timestamp >= '2022-03-09'
GROUP BY 1, 2
ORDER BY 1, 2
SELECT contract_name
, COUNT(1) AS n
FROM ethereum.nft_metadata
GROUP BY 1
ORDER BY 1
SELECT *
FROM ethereum.nft_metadata
WHERE contract_name IN ('MutantApeYachtClub','bayc')
ORDER BY contract_name, token_id
SELECT project_name
, COUNT(1) AS n
FROM solana.nft_metadata
GROUP BY 1
ORDER BY 1
SELECT *
FROM solana.nft_metadata
WHERE project_name = 'Solana Monkey Business'
LIMIT 10000
SELECT block_timestamp::date AS date
, COUNT(1) AS n
FROM solana.nfts
WHERE block_timestamp >= '2022-03-14'
AND program_id = 'J7RagMKwSD5zJSbRQZU56ypHUtux8LRDkUpAPSKH4WPp'
AND inner_instruction:instructions[1]:parsed:info:amount IS NOT NULL
SELECT m.token_id
, pretoken_balance[1]:mint AS pre_mint_1
, n.*
, inner_instruction:instructions[1]:parsed:info:amount AS amount
FROM solana.nfts n
JOIN solana.nft_metadata m ON m.mint = n.mint
WHERE block_timestamp >= '2022-03-14'
AND program_id = 'J7RagMKwSD5zJSbRQZU56ypHUtux8LRDkUpAPSKH4WPp'
LIMIT 100
SELECT
FROM solana.nfts
WHERE block_timestamp >= '2022-03-01'
SELECT *
FROM thorchain.swaps
LIMIT 10
SELECT from_asset
, to_asset
, pool_name
, CASE WHEN memo like '%/%' THEN 1 ELSE 0 END AS is_synth
, COUNT(1) AS n
FROM thorchain.swap_events
WHERE block_timestamp >= '2022-03-09'
GROUP BY 1, 2, 3
ORDER BY 4 DESC
cp -R props props-protocol find props \( -path "*/.git/*" -or -name ".git" \) -delete
And given t he quickly changing nature of such technology, most sources of traditional analytics
are often caught playing "catch-up" rather than innovating.
SELECT pool
, from_asset
, to_asset
, COUNT(1) AS n
FROM thorchain_midgard_public
WHERE block_timestamp >= CURRENT_DATE - 3
GROUP BY 1, 2, 3
ORDER BY 4 DESC
SELECT *
FROM mdao_harmony.dfk_quest_rewards
WHERE log_id = '0xbfecf5e4d8e159c54103a0e7d8c21b27503be89e2048c02fabfb9cfa18e69f5b'
SELECT block_timestamp::date AS date
, COUNT(1) AS n
FROM algorand.transactions
GROUP BY 1
ORDER BY 1
SELECT *
FROM mdao_harmony.dfk_hero_updates
WHERE hero_id = 107255
ORDER BY block_timestamp
WITH base AS (
SELECT hero_id
, summoning_info_summonerid
, summoning_info_assistantid
, hero_info_class
, hero_info_subclass
, hero_stats_strength
, hero_stats_intelligence
, hero_stats_wisdom
, hero_stats_luck
, hero_stats_agility
, hero_stats_vitality
, hero_stats_endurance
, hero_stats_dexterity
, hero_stats_hp
, hero_stats_mp
, hero_stats_stamina
, hero_primary_stat_growth_strength
, hero_primary_stat_growth_intelligence
, hero_primary_stat_growth_wisdom
, hero_primary_stat_growth_luck
, hero_primary_stat_growth_agility
, hero_primary_stat_growth_vitality
, hero_primary_stat_growth_endurance
, hero_primary_stat_growth_dexterity
, hero_primary_stat_growth_hpsm
, hero_primary_stat_growth_hprg
, hero_primary_stat_growth_hplg
, hero_primary_stat_growth_mpsm
, hero_primary_stat_growth_mprg
, hero_primary_stat_growth_mplg
, hero_secondary_stat_growth_strength
, hero_secondary_stat_growth_intelligence
, hero_secondary_stat_growth_wisdom
, hero_secondary_stat_growth_luck
, hero_secondary_stat_growth_agility
, hero_secondary_stat_growth_vitality
, hero_secondary_stat_growth_endurance
, hero_secondary_stat_growth_dexterity
, hero_secondary_stat_growth_hpsm
, hero_secondary_stat_growth_hprg
, hero_secondary_stat_growth_hplg
, hero_secondary_stat_growth_mpsm
, hero_secondary_stat_growth_mprg
, hero_secondary_stat_growth_mplg
, ROW_NUMBER() OVER (PARTITION BY hero_id ORDER BY block_timestamp) AS rn
FROM mdao_harmony.dfk_hero_updates
), base2 AS (
SELECT *
FROM base
WHERE rn = 1
)
SELECT b
FROM base2
Boaz Barak - CS 127 course about cryptography (you can talk about how you've bee working for a crypto company)
Finale Doshi-Velez - CS 181 course about machine learning
David Parkes - CS 181 course about machine learning
SELECT *
FROM mdao_harmony.dfk_quest_rewards
WHERE tx_hash = '0x3964399cdcb7f2de11a9da39a3d812fa4b9a88070caaa97d5d1ec5242d2f8d4b'
0xc855dea300000000000000000000000000000000000000000000000000000000000000600000000000000000000000006ff019415ee105acf2ac52483a33f5b43eadb8d000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000006000000000000000000000000000000000000000000000000000000000000cc3c000000000000000000000000000000000000000000000000000000000000be8000000000000000000000000000000000000000000000000000000000000190b80000000000000000000000000000000000000000000000000000000000017df60000000000000000000000000000000000000000000000000000000000003158000000000000000000000000000000000000000000000000000000000001777d
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
0xc855dea300000000000000000000000000000000000000000000000000000000000000600000000000000000000000003132c76acf2217646fb8391918d28a16bd8a8ef4000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000030000000000000000000000000000000000000000000000000000000000018201000000000000000000000000000000000000000000000000000000000001663d000000000000000000000000000000000000000000000000000000000001a6e2
1: 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
2: 0xc855dea300000000000000000000000000000000000000000000000000000000000000600000000000000000000000003132c76acf2217646fb8391918d28a16bd8a8ef4000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000030000000000000000000000000000000000000000000000000000000000018201000000000000000000000000000000000000000000000000000000000001663d000000000000000000000000000000000000000000000000000000000001a6e2
3: 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
-- DFK level ups
SELECT log_id
, hero_id
, MIN(hero_state_level) AS mn_level
, MAX(hero_state_level) AS mx_level
FROM mdao_harmony.dfk_hero_updates
WHERE block_timestamp >= '2022-03-08'
GROUP BY 1, 2
HAVING mn_level < mx_level
SELECT *
FROM mdao_harmony.logs
WHERE tx_hash = '0x191f7317aedeef0ec87c3cb5834a798197deca7ab8885ace43bfb0ffbe7b744d'
SELECT RIGHT(LEFT(data, 10 + (64 * 2)), 2) AS s1
, RIGHT(LEFT(data, 10 + (64 * 3)), 2) AS s2
, RIGHT(LEFT(data, 10 + (64 * 4)), 2) AS s3
, *
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-09'
AND native_to_address = 'one1qk2ds6efyvrk5gckat4yu89zsmd2zskpwyytuq'
AND data like '0xfa863736%'
LIMIT 100
WITH base AS (
SELECT RIGHT(LEFT(data, 10 + (64 * 2)), 2) AS s1
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) < RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s2
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) > RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s3
, COUNT(1) AS n
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-09'
AND native_to_address = 'one1qk2ds6efyvrk5gckat4yu89zsmd2zskpwyytuq'
AND data like '0xfa863736%'
GROUP BY 1, 2, 3
ORDER BY 1, 2, 3
)
SELECT *
FROM base
SELECT tx_hash
, block_timestamp
, RIGHT(LEFT(data, 10 + 64), 64) AS hero_hash
, RIGHT(LEFT(data, 10 + (64 * 2)), 2) AS s1
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) < RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s2
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) > RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s3
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-09'
AND native_to_address = 'one1qk2ds6efyvrk5gckat4yu89zsmd2zskpwyytuq'
AND data like '0xfa863736%'
LIMIT 100
WITH base AS (
SELECT *
, ROW_NUMBER() OVER (PARTITION BY hero_id ORDER BY block_timestamp DESC) AS rn
FROM mdao_harmony.dfk_hero_updates
)
SELECT *
FROM base WHERE rn = 1
And heal the earth which the angels have defiled, and announce the healing of the earth that I will heal it, and that not all the sons of men shall be destroyed through the mystery of all the things which the watchers have spoken and have taught their sons.
SELECT hero_state_level
, MAX(CAST hero_state_xp AS INT)
FROM mdao_harmony.dfk_hero_updates
GROUP BY 1
WITH base AS (
SELECT hero_state_level
, hero_state_xp
FROM mdao_harmony.dfk_hero_updates
GROUP BY 1, 2
HAVING COUNT(1) > 10
)
SELECT hero_state_level
, MAX(hero_state_xp)
FROM base
GROUP BY 1
WITH start_meditation AS (
SELECT tx_hash
, block_timestamp
, RIGHT(LEFT(data, 10 + 64), 64) AS hero_hash
, RIGHT(LEFT(data, 10 + (64 * 2)), 2) AS s1
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) < RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s2
, CASE WHEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) > RIGHT(LEFT(data, 10 + (64 * 4)), 2) THEN RIGHT(LEFT(data, 10 + (64 * 3)), 2) ELSE RIGHT(LEFT(data, 10 + (64 * 4)), 2) END AS s3
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-09'
AND native_to_address = 'one1qk2ds6efyvrk5gckat4yu89zsmd2zskpwyytuq'
AND data like '0xfa863736%'
), end_meditation AS (
SELECT tx_hash
, block_timestamp
, RIGHT(LEFT(data, 10 + 64), 64) AS hero_hash
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-09'
AND native_to_address = 'one1qk2ds6efyvrk5gckat4yu89zsmd2zskpwyytuq'
AND data like '0x756fcd69%'
)
SELECT s.*
, e.tx_hash AS end_hash
, ROW_NUMBER() OVER (PARTITION BY s.tx_hash ORDER BY s.block_timestamp DESC, e.block_timestamp) AS rn
FROM start_meditation s
JOIN end_meditation e ON e.hero_hash = s.hero_hash
AND e.block_timestamp > s.block_timestamp
AND DATEADD(hours, 24, s.block_timestamp) < e.block_timestamp
SELECT *
FROM mdao_harmony.dfk_hero_updates
WHERE block_timestamp >= '2022-03-09'
AND log_id like '0x9948be24eedafdf7185969524578f292faf6c642fc37d3a0b55c1582d650e607%'
WITH base AS (
SELECT b.log_id
, a.block_timestamp
, b.block_timestamp
, a.hero_state_level AS old_level
, a.hero_stats_strength AS str_base
, a.hero_stats_intelligence AS int_base
, a.hero_stats_wisdom AS wis_base
, a.hero_stats_luck AS lck_base
, a.hero_stats_agility AS agi_base
, a.hero_stats_vitality AS vit_base
, a.hero_stats_endurance AS end_base
, a.hero_stats_hp AS hp_base
, a.hero_stats_mp AS mp_base
, a.hero_stats_stamina AS stam_base
, b.hero_stats_strength - a.hero_stats_strength AS str_inc
, b.hero_stats_intelligence - a.hero_stats_intelligence AS int_inc
, b.hero_stats_wisdom - a.hero_stats_wisdom AS wis_inc
, b.hero_stats_luck - a.hero_stats_luck AS lck_inc
, b.hero_stats_agility - a.hero_stats_agility AS agi_inc
, b.hero_stats_vitality - a.hero_stats_vitality AS vit_inc
, b.hero_stats_endurance - a.hero_stats_endurance AS end_inc
, b.hero_stats_dexterity - a.hero_stats_dexterity AS dex_inc
, b.hero_stats_hp - a.hero_stats_hp AS hp_inc
, b.hero_stats_mp - a.hero_stats_mp AS mp_inc
, b.hero_stats_stamina - a.hero_stats_stamina AS stam_inc
, ROW_NUMBER() OVER (PARTITION BY a.hero_id ORDER BY a.block_timestamp DESC, b.block_timestamp) AS rn
FROM mdao_harmony.dfk_hero_updates a
JOIN mdao_harmony.dfk_hero_updates b ON a.hero_id = b.hero_id
AND a.hero_state_level = b.hero_state_level - 1
AND a.block_timestamp < b.block_timestamp
AND DATEADD(hours, 24, a.block_timestamp) > b.block_timestamp
WHERE a.block_timestamp >= '2022-03-01'
AND a.hero_id = 107255
ORDER BY b.block_timestamp
)
SELECT *
FROM base
WHERE rn = 1
select log_id
, tx_hash
, topics[1] as quest_id
from mdao_harmony.logs
WHERE quest_id IN (
'0x00000000000000000000000000000000000000000000000000000000008d04c8'
)
SELECT *
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-20'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
AND tx_hash = '0x02d562dc33d8b92744aa73a685bc1938e324a8368a5977a1b9983a764d72e11d'
SELECT *
FROM mdao_harmony.txs
WHERE tx_hash = '0x2e929a6fc7326547eb0fd0cb52dd9bbe70f59229afa919ec9d48bed72bfc8903'
WITH q AS (
SELECT DISTINCT tx_hash
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1, 2, 3
)
SELECT b.*
, mx_xp - mn_xp AS xp_increase
, mx_fishing - mn_fishing AS fishing_increase
, mx_foraging - mn_foraging AS foraging_increase
, mx_gardening - mn_gardening AS gardening_increase
, mx_mining - mn_mining AS mining_increase
, CASE WHEN q.tx_hash IS NULL THEN 0 ELSE 1 END AS is_quest
FROM base b
LEFT JOIN q ON q.tx_hash = b.tx_hash
ORDER BY hero_id, block_timestamp
LIMIT 1000
WITH base AS (
select try_base64_decode_string(tx_message:txn:apaa[0]::string) as code
, block_timestamp::date
, tx_group_id
, app_id
, ROW_NUMBER() OVER (PARTITION BY app_id ORDER BY block_timestamp DESC) AS rn
from "flipside_dev_db"."ALGORAND"."APPLICATION_CALL_TRANSACTION"
where 1=1
AND block_timestamp IS NOT NULL
and code in ('sef','sfe')
)
SELECT *
FROM base
WHERE rn = 1
SELECT CASE WHEN block_timestamp IS NULL THEN 1 ELSE 0 END AS timstamp_is_null
, COUNT(1) AS n
, MAX(block_timestamp) AS mx
FROM algorand.application_call_transaction
GROUP BY 1
select max(block_timestamp)
from algorand.transactions
WHERE block_timestamp >= '2022-03-01'
PactFi
PLXdumWjHCE6caDGNvwauHJChxFg7VJtZpC2uBqq8cU=
AlgoFi
yHcHFpy31C9CHHGm815PR4qRNL4STsJq4RElnEoDLjo=
LP
1iDBw/P9/SzpLnQI2eCUGYTaBlNsIousWSPQjEYaNdU=
SELECT
tx_group_id
, try_base64_decode_string(tx_message:txn:note::string) AS code
, tx_message:txn:note::string AS note
, try_base64_decode_string(tx_message:txn:apaa[0]::string) AS code2
, (tx_message:txn:apaa[0]::string) AS apaa
, *
FROM algorand.application_call_transaction
WHERE block_timestamp >= '2022-03-01'
-- AND tx_group_id = 'PtUbYJnOE0+DTd+94YvepmCNub5NB6/vsjjP3ez6iYE='
AND code2 = 'ADDLIQ'
ORDER BY block_timestamp DESC
LIMIT 1000
SELECT *
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND tx_hash = '0xeb43a66ee8c281bb9ee5b491e9e2036eeeaa8584e06727a8e69ab4e94b384f71'
0xc855dea30000000000000000000000000000000000000000000000000000000000000060000000000000000000000000569e6a4c2e3af31b337be00657b4c040c828dd7300000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000001e9f8
SELECT *
FROM algorand.application_call_transaction
WHERE block_timestamp >= '2022-03-04'
AND try_base64_decode_string(tx_message:txn:apaa[0]::string) = 'rpa1r'
ORDER BY block_timestamp DESC
LIMIT 100
select *
from algorand.transactions
WHERE block_timestamp >= '2022-03-01'
AND try_base64_decode_string(tx_message:txn:apaa[0]::string) = 'swap'
AND tx_group_id = 'WfFULCOGyZUavqEyoT9CPidQuZQsxCCV3YsWy6MEjh0='
LIMIT 100
WITH a AS (
SELECT 'Gold' AS token
, price
, ROW_NUMBER() OVER (ORDER BY timestamp DESC) AS rn
FROM mdao_harmony.tokenprice_dfkgold
UNION ALL
SELECT 'GaiasTears' AS token
, price
, ROW_NUMBER() OVER (ORDER BY timestamp DESC) AS rn
FROM mdao_harmony.tokenprice_gaiatear
UNION ALL
SELECT 'Jewel' AS token
, price
, ROW_NUMBER() OVER (ORDER BY timestamp DESC) AS rn
FROM mdao_harmony.tokenprice_jewel
)
SELECT *
FROM a
WHERE rn = 1
WITH name_map AS (
SELECT token_name
,evm_contract_address
, COUNT(1) AS n
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= CURRENT_DATE - 14
GROUP BY 1, 2
)
SELECT n.*, g.gold
FROM name_map n
LEFT JOIN mdao_harmony.dfk_item_to_gold g ON g.contract_address = n.evm_contract_address
WITH q AS (
SELECT DISTINCT tx_hash
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1, 2, 3
)
SELECT b.*
, mx_xp - mn_xp AS xp_increase
, mx_fishing - mn_fishing AS fishing_increase
, mx_foraging - mn_foraging AS foraging_increase
, mx_gardening - mn_gardening AS gardening_increase
, mx_mining - mn_mining AS mining_increase
, CASE WHEN q.tx_hash IS NULL THEN 0 ELSE 1 END AS is_quest
FROM base b
LEFT JOIN q ON q.tx_hash = b.tx_hash
ORDER BY hero_id, block_timestamp
LIMIT 1000
-- start gold mining
0x6033a41dcaf1852643db637cca601c1f55ee619331199e2bb01c5e8511623207
0x760500da5f7f137bd9bfc0a705a0230aab4e08ec000ee4fecc5d763e4ff4fc96
0x1fba20b42053972f77adee2415dc79d8484608c3b1cc82dc16f072d4fd423a99
-- gardening
0x39ef89ac1fb677c1fdeb1a55bc692d5e8a9a467633597ef06b096caebbf5a5c3
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
0xf51333f50000000000000000000000000000000000000000000000000000000000000080000000000000000000000000e4154b6e5d240507f9699c730a496790a722df19000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000c00000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000001a2f7000000000000000000000000000000000000000000000000000000000000000800000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000018000000000000000000000000000000000000000000000000000000000000001a0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
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
SELECT *
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-05'
AND tx_hash IN (
'0x6033a41dcaf1852643db637cca601c1f55ee619331199e2bb01c5e8511623207'
, '0x760500da5f7f137bd9bfc0a705a0230aab4e08ec000ee4fecc5d763e4ff4fc96'
, '0x1fba20b42053972f77adee2415dc79d8484608c3b1cc82dc16f072d4fd423a99'
)
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
SELECT token_name
, COUNT(1) AS n
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1
ORDER BY 2 DESC
-- start quest
WITH s AS (
SELECT *
, CASE
WHEN data like '%569e6a4c2e3af31b337be00657b4c040c828dd73%' THEN 'Mining'
WHEN data like '%e259e8386d38467f0e7ffedb69c3c9c935dfaefc%' THEN 'Fishing'
WHEN data like '%3132c76acf2217646fb8391918d28a16bd8a8ef4%' THEN 'Foraging'
WHEN data like '%e4154b6e5d240507f9699c730a496790a722df19%' THEN 'Gardening'
ELSE 'Other'
END AS quest_type
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND native_from_address = 'one1r2kkl9unhvhd2rmacd304u48rt7u2zrkquazn7'
AND data like '0xc855dea3%'
), e AS (
SELECT tx_hash, block_timestamp, native_from_address
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND native_from_address = 'one1r2kkl9unhvhd2rmacd304u48rt7u2zrkquazn7'
AND data like '0x528be0a9%'
GROUP BY 1, 2, 3
), r AS (
SELECT log_id
, token_name
, calculated_value
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-02-01'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1, 2, 3
), m AS (
SELECT s.quest_type
, s.block_timestamp AS start_time
, b.*
, ROW_NUMBER() OVER (PARTITION BY s.tx_hash ORDER BY e.block_timestamp) AS rn
FROM s
JOIN e ON e.block_timestamp > s.block_timestamp
AND e.block_timestamp <= DATEADD('hour', 24, s.block_timestamp)
AND s.native_from_address = e.native_from_address
JOIN base b ON b.tx_hash = e.tx_hash
)
SELECT quest_type
, level
, AVG(mx_xp - mn_xp) AS avg_xp_inc
, COUNT(1) AS n
FROM m
WHERE rn = 1
GROUP BY 1, 2
ORDER BY 4 DESC
-- start quest
WITH s AS (
SELECT *
, CASE
WHEN data like '%569e6a4c2e3af31b337be00657b4c040c828dd73%' THEN 'Mining'
WHEN data like '%e259e8386d38467f0e7ffedb69c3c9c935dfaefc%' THEN 'Fishing'
WHEN data like '%3132c76acf2217646fb8391918d28a16bd8a8ef4%' THEN 'Foraging'
WHEN data like '%e4154b6e5d240507f9699c730a496790a722df19%' THEN 'Gardening'
ELSE 'Other'
END AS quest_type
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND native_from_address = 'one1r2kkl9unhvhd2rmacd304u48rt7u2zrkquazn7'
AND data like '0xc855dea3%'
), e AS (
SELECT tx_hash, block_timestamp, native_from_address
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND native_from_address = 'one1r2kkl9unhvhd2rmacd304u48rt7u2zrkquazn7'
AND data like '0x528be0a9%'
GROUP BY 1, 2, 3
), r AS (
SELECT LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, token_name
, calculated_value
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-03-01'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1, 2, 3
), m AS (
SELECT s.quest_type
, s.block_timestamp AS start_time
, b.*
, ROW_NUMBER() OVER (PARTITION BY s.tx_hash ORDER BY e.block_timestamp) AS rn
FROM s
JOIN e ON e.block_timestamp > s.block_timestamp
AND e.block_timestamp <= DATEADD('hour', 24, s.block_timestamp)
AND s.native_from_address = e.native_from_address
JOIN base b ON b.tx_hash = e.tx_hash
)
SELECT m.*
, mx_xp - mn_xp AS avg_xp_inc
, r.token_name
, r.calculated_value
FROM m
LEFT JOIN r ON r.tx_hash = m.tx_hash
WHERE rn = 1
-- quests with rewards by profession
WITH s AS (
SELECT *
, CASE
WHEN data like '%569e6a4c2e3af31b337be00657b4c040c828dd73%' THEN 'Mining'
WHEN data like '%e259e8386d38467f0e7ffedb69c3c9c935dfaefc%' THEN 'Fishing'
WHEN data like '%3132c76acf2217646fb8391918d28a16bd8a8ef4%' THEN 'Foraging'
WHEN data like '%e4154b6e5d240507f9699c730a496790a722df19%' THEN 'Gardening'
ELSE 'Other'
END AS quest_type
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0xc855dea3%'
), e AS (
SELECT tx_hash, block_timestamp, native_from_address
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
GROUP BY 1, 2, 3
), r AS (
SELECT LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, token_name
, calculated_value
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-02-01'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_stats_strength AS INT)) AS mn_str
, MIN(CAST(hero_stats_dexterity AS INT)) AS mn_dex
, MIN(CAST(hero_stats_agility AS INT)) AS mn_agi
, MIN(CAST(hero_stats_vitality AS INT)) AS mn_vit
, MIN(CAST(hero_stats_endurance AS INT)) AS mn_end
, MIN(CAST(hero_stats_intelligence AS INT)) AS mn_int
, MIN(CAST(hero_stats_wisdom AS INT)) AS mn_wis
, MIN(CAST(hero_stats_luck AS INT)) AS mn_lck
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-02-01'
GROUP BY 1, 2, 3
), m AS (
SELECT s.quest_type
, s.block_timestamp AS start_time
, b.*
, ROW_NUMBER() OVER (PARTITION BY s.tx_hash ORDER BY e.block_timestamp) AS rn
FROM s
JOIN e ON e.block_timestamp > s.block_timestamp
AND e.block_timestamp <= DATEADD('hour', 24, s.block_timestamp)
AND s.native_from_address = e.native_from_address
JOIN base b ON b.tx_hash = e.tx_hash
)
SELECT m.*
, mx_xp - mn_xp AS avg_xp_inc
, r.token_name
, r.calculated_value
FROM m
LEFT JOIN r ON r.tx_hash = m.tx_hash
WHERE rn = 1
SELECT *
, CASE
WHEN data like '%569e6a4c2e3af31b337be00657b4c040c828dd73%' THEN 'Mining'
WHEN data like '%e259e8386d38467f0e7ffedb69c3c9c935dfaefc%' THEN 'Fishing'
WHEN data like '%3132c76acf2217646fb8391918d28a16bd8a8ef4%' THEN 'Foraging'
WHEN data like '%e4154b6e5d240507f9699c730a496790a722df19%' THEN 'Gardening'
WHEN data like '%0548214A0760a897aF53656F4b69DbAD688D8f29%' THEN 'WishingWell'
ELSE 'Other'
END AS quest_type
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-02-01'
AND from_address = '0x1aad6f9793bb2ed50f7dc362faf2a71afdc50876'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0xc855dea3%'
-- start quest
WITH s AS (
SELECT *
, CASE
WHEN data like '%569e6a4c2e3af31b337be00657b4c040c828dd73%' THEN 'Mining'
WHEN data like '%e259e8386d38467f0e7ffedb69c3c9c935dfaefc%' THEN 'Fishing'
WHEN data like '%3132c76acf2217646fb8391918d28a16bd8a8ef4%' THEN 'Foraging'
WHEN data like '%e4154b6e5d240507f9699c730a496790a722df19%' THEN 'Gardening'
ELSE 'Other'
END AS quest_type
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-06'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0xc855dea3%'
)
SELECT *
FROM s
WHERE quest_type = 'Other'
LIMIT 100
WITH q AS (
SELECT DISTINCT tx_hash
FROM mdao_harmony.txs
WHERE block_timestamp >= '2022-03-01'
AND native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
), base AS (
SELECT hero_id
, block_timestamp
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
, MIN(hero_state_level) AS level
, MIN(CAST(hero_professions_mining AS INT)) AS mn_mining
, MIN(CAST(hero_professions_gardening AS INT)) AS mn_gardening
, MIN(CAST(hero_professions_foraging AS INT)) AS mn_foraging
, MIN(CAST(hero_professions_fishing AS INT)) AS mn_fishing
, MAX(CAST(hero_professions_mining AS INT)) AS mx_mining
, MAX(CAST(hero_professions_gardening AS INT)) AS mx_gardening
, MAX(CAST(hero_professions_foraging AS INT)) AS mx_foraging
, MAX(CAST(hero_professions_fishing AS INT)) AS mx_fishing
, MIN(CAST(hero_state_xp AS INT)) AS mn_xp
, MAX(CAST(hero_state_xp AS INT)) AS mx_xp
FROM mdao_harmony.dfk_hero_updates u
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1, 2, 3
), base2 AS (
SELECT b.*
, mx_xp - mn_xp AS xp_increase
, mx_fishing - mn_fishing AS fishing_increase
, mx_foraging - mn_foraging AS foraging_increase
, mx_gardening - mn_gardening AS gardening_increase
, mx_mining - mn_mining AS mining_increase
, CASE WHEN q.tx_hash IS NULL THEN 0 ELSE 1 END AS is_quest
FROM base b
JOIN q ON q.tx_hash = b.tx_hash
)
SELECT level
,AVG(xp_increase)
,COUNT(1) AS n
FROM base2
GROUP BY 1
SELECT token_name
,COUNT(1) AS n
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-03-01'
GROUP BY 1
select log_id
, tx_hash
, topics[1] as quest_id
from mdao_harmony.logs
WHERE tx_hash IN (
'0x19020484cd737548759478053addf9fc877ed389e064f478a10d67209132227b'
, '0x3fbccc087450a9273466dea29da1a0c4d8d5e3f07fd8ca97fd6676fd0b9a7ab3'
)
q_map AS (
SELECT
tx_hash
, topics[1] as quest_id
from mdao_harmony.logs
WHERE block_timestamp >= '2022-02-01'
AND evm_contract_address = '0x5100bd31b822371108a0f63dcfb6594b9919eaf4'
GROUP BY 1, 2
)
with
quest_start_table as (
-- this query is used to select quests sent from my wallet to the quest contract
select tx_hash
from mdao_harmony.txs
where from_address = '0x0ba43bae4613e03492e4c17af3b014b6c3202b9d' -- my address
and to_address = '0x5100bd31b822371108a0f63dcfb6594b9919eaf4' -- quest core contract
--and tx_hash = '0x7d6f0613cc43cd928a2cc19c1fdb3718453145a77c31ada152c7cf4ab65bb66d' -- for testing purposes
--and tx_hash ='0x5019b6b8518a3ab63803aab7fa4e09e751114953d863d078eea2f494fac6c835'
and block_timestamp > current_date - 4
order by block_timestamp desc
),
quest_id_table as (
-- this query is used to select quests id that is a log from the quest contract
select topics[1] as quest_id
from mdao_harmony.logs
where 1=1
and tx_hash in ( select tx_hash from quest_start_table )
--and tx_hash = '0x7d6f0613cc43cd928a2cc19c1fdb3718453145a77c31ada152c7cf4ab65bb66d' -- for faster testing
--and tx_hash ='0x5019b6b8518a3ab63803aab7fa4e09e751114953d863d078eea2f494fac6c835' -- testing
and evm_contract_address = '0x5100bd31b822371108a0f63dcfb6594b9919eaf4' -- quest core contract
)
/*,
quest_log_getter as (
-- this query is used to select rewards that is matching the questid
select * from mdao_harmony.txs
where from_address = '0x0ba43bae4613e03492e4c17af3b014b6c3202b9d' -- my address
and to_address = '0x5100bd31b822371108a0f63dcfb6594b9919eaf4' -- quest core
and block_timestamp >= '2022-02-10 02:14:56.000' -- test code , can remove
and block_timestamp <= '2022-02-13 02:14:56.000' -- test code , can remove
and data = '0x528be0a9000000000000000000000000000000000000000000000000000000000001011f' -- test code, can remove
)
*/
-- select logs where quest_id matches topics[1] and topics[0] says quest reward (you probably need to filter more by contracts )
select
substr(data,67,64) as token_address,
substr(data,67+64,64) as amount_rewards
from mdao_harmony.logs
where block_timestamp > current_date - 4
and topics[1] in (select quest_id from quest_id_table)
and topics[0] = '0xd24d0ec0941a2f5cf71e34aab5120a6ec265b4ff45c78e510a05928202f82786' -- quest reward
SELECT *
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp >= '2022-03-01'
AND token_name = 'Jewels'
LIMIT 10
SELECT *
FROM mdao_harmony.dfk_hero_updates
WHERE hero_id = 107255
ORDER BY block_timestamp, hero_state_xp
SELECT *
FROM mdao_harmony.txs
WHERE native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
LIMIT 10
WITH base AS (
SELECT DISTINCT tx_hash
FROM mdao_harmony.txs
WHERE native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
), a AS (
SELECT hero_state_level
, hero_professions_mining
, hero_professions_gardening
, hero_professions_foraging
, hero_professions_fishing
, LEFT(log_id, LEN(log_id) - 5) AS tx_hash
FROM mdao_harmony.dfk_hero_updates u
JOIN base b ON b.tx_hash = tx_hash
WHERE hero_id = 107255
)
SELECT *
FROM a
--How does that change based on their stats / level / what profession they do?
-- Labels are missing
-- Warrior = HERO_INFO_CLASS = '0'
-- Knight = HERO_INFO_CLASS = '1'
-- Thief = HERO_INFO_CLASS = '2'
-- Archer = HERO_INFO_CLASS = '3'
-- Priest = HERO_INFO_CLASS = '4'
-- Wizard = HERO_INFO_CLASS = '5'
-- Monk = HERO_INFO_CLASS = '6'
-- Pirate = HERO_INFO_CLASS = '7'
-- Paladin = HERO_INFO_CLASS = '16'
-- Darkknight = HERO_INFO_CLASS = '17'
-- Summoner = HERO_INFO_CLASS = '18'
-- Ninja = HERO_INFO_CLASS = '19'
-- Dragoon = HERO_INFO_CLASS = '24'
-- Sage = HERO_INFO_CLASS = '25'
-- Dreadknight = HERO_INFO_CLASS = '28'
WITH hero_info AS (
--Grabs all the hero data
--Need to join this table onto dfk_quest_rewards so that we are able
-- to remove 'StartQuest' tx. Since XP is stored as a state, it messes up the AVG
SELECT hi.*, SPLIT( LOG_ID , '-') AS tx_hash FROM mdao_harmony.dfk_hero_updates hi)
SELECT DISTINCT hi.HERO_INFO_CLASS, CAST(hi.HERO_STATE_LEVEL as int) as HERO_STATE_LEVEL, avg(hi.HERO_STATE_XP)
FROM mdao_harmony.dfk_quest_rewards qr JOIN hero_info hi ON hi.tx_hash[0] = qr.TX_HASH
GROUP BY hi.HERO_INFO_CLASS , HERO_STATE_LEVEL ORDER BY hi.HERO_INFO_CLASS, HERO_STATE_LEVEL
WITH hero_info AS (
SELECT HERO_STATE_LEVEL,HERO_STATE_XP, HERO_INFO_CLASS,CAST(hi.HERO_PROFESSIONS_MINING as int) as HERO_PROFESSIONS_MINING, CAST(hi.HERO_PROFESSIONS_GARDENING as int) as HERO_PROFESSIONS_GARDENING,
CAST(hi.HERO_PROFESSIONS_FORAGING as int) as HERO_PROFESSIONS_FORAGING, CAST(hi.HERO_PROFESSIONS_FISHING as int) as HERO_PROFESSIONS_FISHING
, SPLIT( LOG_ID , '-') AS tx_hash FROM mdao_harmony.dfk_hero_updates hi)
SELECT DISTINCT CAST(hi.HERO_STATE_LEVEL as int) as HERO_STATE_LEVEL, avg(hi.HERO_STATE_XP),
CASE
WHEN
HERO_PROFESSIONS_MINING >= HERO_PROFESSIONS_GARDENING
AND HERO_PROFESSIONS_MINING >= HERO_PROFESSIONS_FORAGING
AND HERO_PROFESSIONS_MINING >= HERO_PROFESSIONS_FISHING
AND HERO_PROFESSIONS_MINING != 0 THEN 'mining'
WHEN
HERO_PROFESSIONS_GARDENING >= HERO_PROFESSIONS_MINING
AND HERO_PROFESSIONS_GARDENING >= HERO_PROFESSIONS_FORAGING
AND HERO_PROFESSIONS_GARDENING >= HERO_PROFESSIONS_FISHING
AND HERO_PROFESSIONS_GARDENING != 0 THEN 'gardening'
WHEN
HERO_PROFESSIONS_FORAGING >= HERO_PROFESSIONS_MINING
AND HERO_PROFESSIONS_FORAGING >= HERO_PROFESSIONS_GARDENING
AND HERO_PROFESSIONS_FORAGING >= HERO_PROFESSIONS_FISHING
AND HERO_PROFESSIONS_FORAGING != 0 THEN 'foraging'
WHEN
HERO_PROFESSIONS_FISHING >= HERO_PROFESSIONS_MINING
AND HERO_PROFESSIONS_FISHING >= HERO_PROFESSIONS_GARDENING
AND HERO_PROFESSIONS_FISHING >= HERO_PROFESSIONS_FORAGING
AND HERO_PROFESSIONS_FISHING != 0 THEN 'fishing'
else 'professionless'
END AS category
FROM mdao_harmony.dfk_quest_rewards qr JOIN hero_info hi ON hi.tx_hash[0] = qr.TX_HASH
group by HERO_STATE_LEVEL, CATEGORY
SELECT DATEDIFF(week, date_trunc('WEEK', block_timestamp), date_trunc('WEEK', CURRENT_TIMESTAMP)) AS weeks_ago
, date_trunc('WEEK', block_timestamp) AS date
, COUNT(1) AS n_quests
, COUNT(DISTINCT native_from_address) as n_questers
FROM mdao_harmony.txs
WHERE native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
GROUP BY 1, 2
ORDER BY 1
WITH
--Grabs all paying quests
buckets AS (
SELECT AS_VARCHAR(to_address) AS to_address,
week(date_trunc('day', block_timestamp)) AS quest_week
FROM mdao_harmony.dfk_quest_rewards
WHERE block_timestamp < '2022-01-03'
GROUP BY to_address, quest_week),
--Grabs the first week for paying quest
first_week as (
SELECT
AS_VARCHAR(to_address) as to_address,
min(week(date_trunc('day', block_timestamp))) AS first_quest_week
FROM mdao_harmony.dfk_quest_rewards
where block_timestamp < '2022-01-03'
GROUP BY to_address
),
--Grabs quest that pays out no rewards
no_reward_buckets AS (
SELECT from_address AS to_address, week(date_trunc('day', block_timestamp)) AS quest_week
FROM mdao_harmony.txs
WHERE native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
AND tx_hash not in (SELECT tx_hash FROM mdao_harmony.dfk_quest_rewards)
AND block_timestamp < '2022-01-03'
--Only grab valid tx
AND status = TRUE),
--Grabs the first week for non-paying quest
first_week_no_rewards as (
SELECT from_address as to_address, min(week(date_trunc('day', block_timestamp))) AS first_quest_week
FROM mdao_harmony.txs
WHERE native_to_address = 'one12yqt6vdcygm3zz9q7c7uldjefwv3n6h5trltq4'
AND data like '0x528be0a9%'
AND tx_hash not in (SELECT tx_hash FROM mdao_harmony.dfk_quest_rewards)
AND block_timestamp < '2022-01-03'
AND status = TRUE
GROUP BY 1),
--Merges the two tables for first week
merge_first_week AS (
SELECT * FROM first_week_no_rewards
UNION ALL
SELECT * FROM first_week ),
--If duplicate addresses, picks the one with a lower first week
fiter_first_week AS (
SELECT to_address, min(first_quest_week) AS first_quest_week
FROM merge_first_week
GROUP BY to_address
ORDER BY to_address),
merge_buckets as (
select * from buckets
union all
select * from no_reward_buckets
),
--Creates table of user, week they quested, and week of first quest
merge_login_first AS (
SELECT a.to_address,
a.quest_week,
b.first_quest_week AS first_quest
FROM merge_buckets a, fiter_first_week b
WHERE a.to_address = b.to_address
), week_num AS (
SELECT a.to_address, a.quest_week, b.first_quest_week AS first_quest,
a.quest_week - first_quest AS week_number
FROM buckets a, first_week b
WHERE a.to_address = b.to_address
) SELECT first_quest AS first_week,
SUM(CASE WHEN week_number = 0 THEN 1 ELSE 0 END) AS week_0,
SUM(CASE WHEN week_number = 1 THEN 1 ELSE 0 END) AS week_1,
SUM(CASE WHEN week_number = 2 THEN 1 ELSE 0 END) AS week_2,
SUM(CASE WHEN week_number = 3 THEN 1 ELSE 0 END) AS week_3,
SUM(CASE WHEN week_number = 4 THEN 1 ELSE 0 END) AS week_4,
SUM(CASE WHEN week_number = 5 THEN 1 ELSE 0 END) AS week_5
FROM week_num GROUP BY first_week ORDER BY first_week
AlgoFi
ALGO / OPUL
Add LP
Examples
gb/8+oHUk+3G6l7UGycJA+huSAQhycl5E4eYxsG5XXI=
ik0azydJLpeQi8qsRbt0zxDfmJDzX7V9cQ7mEzszOCo=
app_id = 613210847
Swap
Examples
yHcHFpy31C9CHHGm815PR4qRNL4STsJq4RElnEoDLjo=
c+X1QfLHuqpGbiecxYlUM7c74eThALxKl5Bp04sojOg=
gb/8+oHUk+3G6l7UGycJA+huSAQhycl5E4eYxsG5XXI=
xLHcgXj43Ts3h6FcgJGkwUZ3R05fDt16u13Jfb/eYGg=
app_id = 613210847
Pact.Fi
ALGO / USDC
app_id = 620995314
WITH orders AS (
SELECT tx_id
, block_timestamp AS sale_date
, msg_value:execute_msg:execute_order:order:order:maker_asset:info:nft:token_id AS token_id
, msg_value:execute_msg:execute_order:order:order:maker_asset:info:nft:contract_addr::string AS contract
, msg_value:execute_msg:execute_order:order:order:taker_asset:amount::decimal/pow(10,6) AS price
FROM terra.msgs
WHERE msg_value:contract::string = 'terra1eek0ymmhyzja60830xhzm7k7jkrk99a60q2z2t'
AND tx_status = 'SUCCEEDED'
AND msg_value:execute_msg:execute_order IS NOT NULL
AND contract IN ( '{}' )
), Lorders AS (
SELECT tx_id
, block_timestamp AS sale_date
, msg_value:execute_msg:ledger_proxy:msg:execute_order:order:order:maker_asset:info:nft:token_id AS token_id
, msg_value:execute_msg:ledger_proxy:msg:execute_order:order:order:maker_asset:info:nft:contract_addr::string AS contract
, msg_value:execute_msg:ledger_proxy:msg:execute_order:order:order:taker_asset:amount::decimal/pow(10,6) AS price
FROM terra.msgs
WHERE msg_value:contract::string = 'terra1eek0ymmhyzja60830xhzm7k7jkrk99a60q2z2t'
AND tx_status = 'SUCCEEDED'
AND msg_value:execute_msg:ledger_proxy:msg:execute_order IS NOT NULL
AND contract IN ( '{}' )
), unioned AS (
SELECT * FROM orders
UNION ALL
SELECT * FROM Lorders
)
SELECT CASE
WHEN contract = 'terra1p70x7jkqhf37qa7qm4v23g4u4g8ka4ktxudxa7' THEN 'Levana Dust'
WHEN contract = 'terra1chrdxaef0y2feynkpq63mve0sqeg09acjnp55v' THEN 'Levana Meteors'
WHEN contract = 'terra1k0y373yxqne22pc9g7jvnr4qclpsxtafevtrpg' THEN 'Levana Dragon Eggs'
WHEN contract = 'terra1trn7mhgc9e2wfkm5mhr65p3eu7a2lc526uwny2' THEN 'LunaBulls'
WHEN contract = 'terra103z9cnqm8psy0nyxqtugg6m7xnwvlkqdzm4s4k' THEN 'Galactic Punks'
ELSE 'Other'
END AS collection
, sale_date
, token_id
, tx_id
, price
FROM unioned
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