2022-05-11 15:57:56 +02:00
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-- name: new-user-registrations
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-- This query generates a date range and left joins the users table to include days with no registrations
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-- Produces x, y results for displaying on a line chart
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WITH date_range AS (
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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)
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SELECT date_range.day AS x, COUNT(users.id) AS y
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FROM date_range
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LEFT JOIN users ON date_range.day = CAST(users.date_registered AS date)
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GROUP BY date_range.day
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2022-05-12 11:32:33 +02:00
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ORDER BY date_range.day
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LIMIT 730;
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2022-05-11 15:57:56 +02:00
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2022-08-26 09:23:26 +02:00
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-- name: new-user-registrations-cmr
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-- This is a patch to support CMR dashboard
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-- This query generates a date range and left joins the users table to include days with no registrations
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-- Produces x, y results for displaying on a line chart
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WITH date_range AS (
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2022-08-26 09:59:14 +02:00
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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2022-08-26 09:23:26 +02:00
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)
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SELECT date_range.day AS x, COUNT(users.id) AS y
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FROM date_range
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LEFT JOIN users ON date_range.day = CAST(users.date_registered AS date)
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WHERE users.phone_number LIKE '237%'
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GROUP BY date_range.day
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ORDER BY date_range.day
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LIMIT 730;
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2022-05-11 15:57:56 +02:00
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-- name: transactions-count
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-- This query generates a date range and left joins the transactions table to include days with no transactions
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-- Produces x, y results for displaying on a line chart
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WITH date_range AS (
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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2022-05-21 10:03:23 +02:00
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),
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exclude AS (
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SELECT sys_address FROM sys_accounts WHERE sys_address IS NOT NULL
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2022-05-11 15:57:56 +02:00
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)
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SELECT date_range.day AS x, COUNT(transactions.id) AS y
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FROM date_range
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LEFT JOIN transactions ON date_range.day = CAST(transactions.date_block AS date)
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2022-05-23 14:41:24 +02:00
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AND transactions.sender_address NOT IN (SELECT sys_address FROM exclude) AND transactions.recipient_address NOT IN (SELECT sys_address FROM exclude)
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AND transactions.success = true
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2022-05-11 15:57:56 +02:00
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GROUP BY date_range.day
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2022-05-12 11:32:33 +02:00
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ORDER BY date_range.day
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2022-05-23 14:41:24 +02:00
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LIMIT 730;
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2022-08-26 09:59:14 +02:00
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-- name: transactions-count-cmr
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2022-08-26 09:23:26 +02:00
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-- This is a patch to support CMR dashboard
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-- This query generates a date range and left joins the transactions table to include days with no transactions
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-- Produces x, y results for displaying on a line chart
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WITH date_range AS (
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2022-08-26 09:59:14 +02:00
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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2022-08-26 09:23:26 +02:00
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),
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exclude AS (
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SELECT sys_address FROM sys_accounts WHERE sys_address IS NOT NULL
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),
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cmr_tokens AS (
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2022-09-29 09:59:23 +02:00
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SELECT token_address from tokens WHERE token_symbol IN ('MBIP', 'MUN')
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2022-08-26 09:23:26 +02:00
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)
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SELECT date_range.day AS x, COUNT(transactions.id) AS y
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FROM date_range
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LEFT JOIN transactions ON date_range.day = CAST(transactions.date_block AS date)
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AND transactions.sender_address NOT IN (SELECT sys_address FROM exclude) AND transactions.recipient_address NOT IN (SELECT sys_address FROM exclude)
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AND transactions.success = true
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AND transactions.token_address IN (SELECT token_address FROM cmr_tokens)
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GROUP BY date_range.day
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ORDER BY date_range.day
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LIMIT 730;
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2022-05-23 14:41:24 +02:00
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-- name: token-transactions-count
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-- This query gets transactions for a specific token for a given date range
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WITH date_range AS (
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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),
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exclude AS (
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SELECT sys_address FROM sys_accounts WHERE sys_address IS NOT NULL
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)
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SELECT date_range.day AS x, COUNT(transactions.id) AS y
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FROM date_range
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LEFT JOIN transactions ON date_range.day = CAST(transactions.date_block AS date)
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AND transactions.sender_address NOT IN (SELECT sys_address FROM exclude) AND transactions.recipient_address NOT IN (SELECT sys_address FROM exclude)
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AND transactions.token_address = $3
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AND transactions.success = true
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GROUP BY date_range.day
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ORDER BY date_range.day
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LIMIT 730;
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--name: token-volume
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-- This query rteurns daily token volume
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-- Assumes erc20 token is 6 decimals
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WITH date_range AS (
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SELECT day::date FROM generate_series($1, $2, INTERVAL '1 day') day
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),
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exclude AS (
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SELECT sys_address FROM sys_accounts WHERE sys_address IS NOT NULL
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)
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SELECT date_range.day AS x, COALESCE(SUM(transactions.tx_value / 1000000), 0) AS y
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FROM date_range
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LEFT JOIN transactions ON date_range.day = CAST(transactions.date_block AS date)
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AND transactions.sender_address NOT IN (SELECT sys_address FROM exclude) AND transactions.recipient_address NOT IN (SELECT sys_address FROM exclude)
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AND transactions.token_address = $3
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AND transactions.success = true
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GROUP BY date_range.day
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ORDER BY date_range.day
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LIMIT 730;
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2022-05-26 08:35:39 +02:00
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--name: latest-token-transactions
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-- Returns latest token transactions, with curosr forward query and limit
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SELECT id, block_number, date_block, tx_hash, sender_address, recipient_address, tx_value, success FROM transactions
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2022-09-29 09:59:23 +02:00
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WHERE token_address = $1 AND date_block > TIMESTAMP 'yesterday' ORDER BY id DESC;
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