我有时间序列数据（证券交易所交易），我需要按时间间隔进行聚合：1分钟、5分钟、15分钟等。高级时间框架可以从次要时间框架计算，即5 x 1分钟->5分钟。
我做的 MATERIALIZED VIEW, AggregatingMergeTree ，它成功地计算了m1，比如 maxState(price) as price_high, countState(item_id) as trades_count 但我不知道如何制定下一个时间表。如果我使用 maxMerge 在下一个视图中，我返回了一个不正确的结果，正如文档所说，我必须使用这个结果 -state 在 AggregatingMergeTree ，当我使用 -State 在m5中，它也抱怨错误。
我想构建一系列物化视图，其中次要视图在管道中为高级视图提供来自交易的更新
更新（sql）：

CREATE MATERIALIZED VIEW IF NOT EXISTS candle_m1_state
ENGINE = AggregatingMergeTree() PARTITION BY toYYYYMM(toDateTime(timestamp_close_m1/1000)) 
ORDER BY (platform_id, symbol, timestamp_close_m1)
POPULATE AS
select
 platform_id as platform_id,
 symbol as symbol,
 '1m' as `candle_interval`,
 1000*toUnixTimestamp(toStartOfMinute(toDateTime(timestamp/1000))) as timestamp_m1,
 1000*toUnixTimestamp(addMinutes(toStartOfMinute(toDateTime(timestamp/1000)), 1)) as timestamp_close_m1,
...
 minState(price) as price_low,
 countState(item_id) as trades_count
from trade
group by platform_id, symbol, timestamp_m1, timestamp_close_m1, `candle_interval`
order by timestamp_close_m1;
/*The one below definitely wrong due to -State suffix*/
CREATE MATERIALIZED VIEW IF NOT EXISTS candle_m5_test
ENGINE = AggregatingMergeTree() PARTITION BY toYYYYMM(toDateTime(timestamp_close_m5 / 1000)) 
ORDER BY (platform_id, symbol, timestamp_close_m5) SETTINGS index_granularity = 8192 
POPULATE AS 
SELECT platform_id, symbol, '5m' AS candle_interval,
 1000 * toUnixTimestamp(toStartOfFiveMinute(toDateTime(timestamp_m1 / 1000))) AS timestamp_m5,
 1000 * toUnixTimestamp(addMinutes(toStartOfFiveMinute(toDateTime(timestamp_m1 / 1000)), 5)) AS timestamp_close_m5, 
 ...
 minState(price_low) AS price_low, 
 countState(trades_count) AS trades_count 
FROM candle_m1_state 
GROUP BY platform_id, symbol, timestamp_m5, timestamp_close_m5 
ORDER BY platform_id ASC, symbol ASC, timestamp_close_m5 ASC;