可用版本:Dev (3.21) | 最新 (3.20) | 3.19 | 3.18 | 3.17 | 3.16 | 3.15 | 3.14 | 3.13 | 3.12 | 3.11

GROUP BY CUBE

适用于 ✅ 开源版   ✅ 专业版   ✅ 企业版

在报告中,一次性跨数据的多个维度运行多个聚合可能很有用。 CUBE 是一种方法。

SELECT AUTHOR_ID, PUBLISHED_IN, COUNT(*)
FROM BOOK
GROUP BY CUBE (AUTHOR_ID, PUBLISHED_IN)
 
create.select(BOOK.AUTHOR_ID, BOOK.PUBLISHED_IN, count())
      .from(BOOK)
      .groupBy(cube(BOOK.AUTHOR_ID, BOOK.PUBLISHED_IN))
      .fetch();

以上是编写以下 UNION ALL 查询的一种更简洁(并且可能性能更高)的形式

SELECT AUTHOR_ID, PUBLISHED_IN, COUNT(*)
FROM BOOK
GROUP BY AUTHOR_ID, PUBLISHED_IN
UNION ALL
SELECT AUTHOR_ID, NULL, COUNT(*)
FROM BOOK
GROUP BY AUTHOR_ID
SELECT NULL, PUBLISHED_IN, COUNT(*)
FROM BOOK
GROUP BY LANGUAGE_ID
UNION ALL
SELECT NULL, NULL, COUNT(*)
FROM BOOK
GROUP BY ()

CUBE 函数只是更复杂的 GROUPING SETS 规范的语法糖。一般来说

-- This
CUBE (A, B, C)

-- Is just short for this
GROUPING SETS ((A, B, C), (A, B), (A, C), (B, C), (A), (B), (C), ())

一个示例结果集可能如下所示

+-----------+--------------+----------+
| AUTHOR_ID | PUBLISHED_IN | COUNT(*) |
+-----------+--------------+----------+
|      NULL |         NULL |        4 | <- GROUP BY ()
|      NULL |         1945 |        1 | <- GROUP BY (PUBLISHED_IN)
|      NULL |         1948 |        1 | <- GROUP BY (PUBLISHED_IN)
|      NULL |         1988 |        1 | <- GROUP BY (PUBLISHED_IN)
|      NULL |         1990 |        1 | <- GROUP BY (PUBLISHED_IN)
|         1 |         NULL |        2 | <- GROUP BY (AUTHOR_ID)
|         1 |         1945 |        1 | <- GROUP BY (AUTHOR_ID, PUBLISHED_IN)
|         1 |         1948 |        1 | <- GROUP BY (AUTHOR_ID, PUBLISHED_IN)
|         2 |         NULL |        2 | <- GROUP BY (AUTHOR_ID)
|         2 |         1988 |        1 | <- GROUP BY (AUTHOR_ID, PUBLISHED_IN)
|         2 |         1990 |        1 | <- GROUP BY (AUTHOR_ID, PUBLISHED_IN)
+-----------+--------------+----------+

方言支持

此示例使用 jOOQ

select(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID, count()).from(BOOK).groupBy(cube(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID))

翻译成以下特定方言的表达式

Aurora Postgres, ClickHouse, DB2, Databricks, DuckDB, Hana, Oracle, Postgres, Redshift, SQLServer, Snowflake, Sybase, Teradata, Trino, Vertica

SELECT
  BOOK.AUTHOR_ID,
  BOOK.LANGUAGE_ID,
  count(*)
FROM BOOK
GROUP BY CUBE (BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID)

ASE, Access, Aurora MySQL, BigQuery, CockroachDB, Derby, Exasol, Firebird, H2, HSQLDB, Informix, MariaDB, MemSQL, MySQL, SQLDataWarehouse, SQLite, YugabyteDB

/* UNSUPPORTED */
使用 jOOQ 3.21 生成。早期 jOOQ 版本的支持可能有所不同。 在我们的网站上翻译您自己的 SQL

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