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docs/zh/sql-reference/sql-functions/aggregate-functions/ds_hll_count_distinct.md
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# ds_hll_count_distinct | ||
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返回聚合函数的近似值,结果类似于 COUNT(DISTINCT col)。相似函数为 APPROX_COUNT_DISTINCT(expr)。 | ||
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相较于 COUNT DISTINCT 速度更快,并且使用固定大小的内存,因此基于高基数列使用时内存占用更少。 | ||
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相较于 APPROX_COUNT_DISTINCT(expr) 速度更慢,但由于 Apache Datasketches 的优势,导致其精度更高。更多信息,参考 [HyperLogLog Sketches](https://datasketches.apache.org/docs/HLL/HllSketches.html)。 | ||
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## 语法 | ||
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```Haskell | ||
ds_hll_count_distinct(expr, [log_k], [tgt_type]) | ||
``` | ||
- `log_k`:必须为整数。范围:[4, 21]。默认值:17。 | ||
- `tgt_type`:有效值为 `HLL_4`、`HLL_6`(默认)以及 `HLL_8`。 | ||
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## 示例 | ||
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```plain text | ||
mysql> CREATE TABLE t1 ( | ||
-> id BIGINT NOT NULL, | ||
-> province VARCHAR(64), | ||
-> age SMALLINT, | ||
-> dt VARCHAR(10) NOT NULL | ||
-> ) | ||
-> DUPLICATE KEY(id) | ||
-> DISTRIBUTED BY HASH(id) BUCKETS 4; | ||
Query OK, 0 rows affected (0.02 sec) | ||
mysql> insert into t1 select generate_series, generate_series, generate_series % 100, "2024-07-24" from table(generate_series(1, 100000)); | ||
Query OK, 100000 rows affected (0.29 sec) | ||
mysql> select ds_hll_count_distinct(id), ds_hll_count_distinct(province), ds_hll_count_distinct(age), ds_hll_count_distinct(dt) from t1 order by 1, 2; | ||
+---------------------------+---------------------------------+----------------------------+---------------------------+ | ||
| ds_hll_count_distinct(id) | ds_hll_count_distinct(province) | ds_hll_count_distinct(age) | ds_hll_count_distinct(dt) | | ||
+---------------------------+---------------------------------+----------------------------+---------------------------+ | ||
| 100090 | 100140 | 100 | 1 | | ||
+---------------------------+---------------------------------+----------------------------+---------------------------+ | ||
1 row in set (0.07 sec) | ||
mysql> select ds_hll_count_distinct(id, 21), ds_hll_count_distinct(province, 21), ds_hll_count_distinct(age, 21), ds_hll_count_distinct(dt, 21) from t1 order by 1, 2; | ||
+-------------------------------+-------------------------------------+--------------------------------+-------------------------------+ | ||
| ds_hll_count_distinct(id, 21) | ds_hll_count_distinct(province, 21) | ds_hll_count_distinct(age, 21) | ds_hll_count_distinct(dt, 21) | | ||
+-------------------------------+-------------------------------------+--------------------------------+-------------------------------+ | ||
| 99995 | 100001 | 100 | 1 | | ||
+-------------------------------+-------------------------------------+--------------------------------+-------------------------------+ | ||
1 row in set (0.07 sec) | ||
mysql> select ds_hll_count_distinct(id, 10, "HLL_8"), ds_hll_count_distinct(province, 10, "HLL_8"), ds_hll_count_distinct(age, 10, "HLL_8"), ds_hll_count_distinct(dt, 10, "HLL_8") from t1 order by 1, 2; | ||
+----------------------------------------+----------------------------------------------+-----------------------------------------+----------------------------------------+ | ||
| ds_hll_count_distinct(id, 10, 'HLL_8') | ds_hll_count_distinct(province, 10, 'HLL_8') | ds_hll_count_distinct(age, 10, 'HLL_8') | ds_hll_count_distinct(dt, 10, 'HLL_8') | | ||
+----------------------------------------+----------------------------------------------+-----------------------------------------+----------------------------------------+ | ||
| 99844 | 101905 | 96 | 1 | | ||
+----------------------------------------+----------------------------------------------+-----------------------------------------+----------------------------------------+ | ||
1 row in set (0.09 sec) | ||
``` | ||
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## Keywords | ||
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DS_HLL_COUNT_DISTINCT,APPROX_COUNT_DISTINCT |