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53 lines
1.9 KiB
Markdown
53 lines
1.9 KiB
Markdown
---
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toc_priority: 141
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---
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# sumMap {#agg_functions-summap}
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**语法**
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``` sql
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sumMap(key, value)
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或
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sumMap(Tuple(key, value))
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```
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根据 `key` 数组中指定的键对 `value` 数组进行求和。
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传递 `key` 和 `value` 数组的元组与传递 `key` 和 `value` 的两个数组是同义的。
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要总计的每一行的 `key` 和 `value` (数组)元素的数量必须相同。
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返回两个数组组成的一个元组: 排好序的 `key` 和对应 `key` 的 `value` 之和。
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示例:
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``` sql
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CREATE TABLE sum_map(
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date Date,
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timeslot DateTime,
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statusMap Nested(
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status UInt16,
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requests UInt64
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),
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statusMapTuple Tuple(Array(Int32), Array(Int32))
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) ENGINE = Log;
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INSERT INTO sum_map VALUES
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('2000-01-01', '2000-01-01 00:00:00', [1, 2, 3], [10, 10, 10], ([1, 2, 3], [10, 10, 10])),
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('2000-01-01', '2000-01-01 00:00:00', [3, 4, 5], [10, 10, 10], ([3, 4, 5], [10, 10, 10])),
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('2000-01-01', '2000-01-01 00:01:00', [4, 5, 6], [10, 10, 10], ([4, 5, 6], [10, 10, 10])),
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('2000-01-01', '2000-01-01 00:01:00', [6, 7, 8], [10, 10, 10], ([6, 7, 8], [10, 10, 10]));
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SELECT
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timeslot,
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sumMap(statusMap.status, statusMap.requests),
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sumMap(statusMapTuple)
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FROM sum_map
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GROUP BY timeslot
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```
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``` text
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┌────────────timeslot─┬─sumMap(statusMap.status, statusMap.requests)─┬─sumMap(statusMapTuple)─────────┐
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│ 2000-01-01 00:00:00 │ ([1,2,3,4,5],[10,10,20,10,10]) │ ([1,2,3,4,5],[10,10,20,10,10]) │
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│ 2000-01-01 00:01:00 │ ([4,5,6,7,8],[10,10,20,10,10]) │ ([4,5,6,7,8],[10,10,20,10,10]) │
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└─────────────────────┴──────────────────────────────────────────────┴────────────────────────────────┘
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```
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