SnowConvert AI - Hive - SELECT¶
Applies to
Hive SQL
Spark SQL
Databricks SQL
説明¶
Sparkは SELECT ステートメントをサポートしており、ANSI SQL 標準に準拠しています。クエリは、1つまたは複数のテーブルから結果セットを取得するために使用されます。(Spark SQL 言語リファレンス SELECT)
警告
この文法はSnowflakeで部分的にサポートされています。これらの CREATE VIEW 要素の翻訳は保留中です。
[ SORT BY { expression [ ASC | DESC ] [ NULLS { FIRST | LAST } ] [ , ... ] } ]
[ CLUSTER BY { expression [ , ... ] } ]
[ DISTRIBUTE BY { expression [, ... ] } ]
[ WINDOW { named_window [ , WINDOW named_window, ... ] } ]
[ PIVOT clause ]
[ UNPIVOT clause ]
[ LATERAL VIEW clause ] [ ... ]
[ regex_column_names ]
[ TRANSFORM (...) ]
[ LIMIT non_literal_expression ]
from_item :=
join_relation
table_value_function
LATERAL(subquery)
file_format.`file_path`
select_statement { INTERSECT | EXCEPT } { ALL | DISTINCT } select_statement
文法構文¶
[ WITH with_query [ , ... ] ]
select_statement [ { UNION | INTERSECT | EXCEPT } [ ALL | DISTINCT ] select_statement, ... ]
[ ORDER BY { expression [ ASC | DESC ] [ NULLS { FIRST | LAST } ] [ , ... ] } ]
[ SORT BY { expression [ ASC | DESC ] [ NULLS { FIRST | LAST } ] [ , ... ] } ]
[ CLUSTER BY { expression [ , ... ] } ]
[ DISTRIBUTE BY { expression [, ... ] } ]
[ WINDOW { named_window [ , WINDOW named_window, ... ] } ]
[ LIMIT { ALL | expression } ]
select_statement :=
SELECT [ hints , ... ] [ ALL | DISTINCT ] { [ [ named_expression | regex_column_names ] [ , ... ] | TRANSFORM (...) ] }
FROM { from_item [ , ... ] }
[ PIVOT clause ]
[ UNPIVOT clause ]
[ LATERAL VIEW clause ] [ ... ]
[ WHERE boolean_expression ]
[ GROUP BY expression [ , ... ] ]
[ HAVING boolean_expression ]
with_query :=
expression_name [ ( column_name [ , ... ] ) ] [ AS ] ( query )
from_item :=
table_relation |
join_relation |
table_value_function |
inline_table |
LATERAL(subquery) |
file_format.`file_path`
サンプルソースパターン¶
GROUP BY¶
WITH { CUBE | ROLLUP } 構文は、同等の CUBE(expr1, ...) または ROLLUP(expr1, ...) に変換されます。
入力コード:¶
-- Basic case of GROUP BY
SELECT id, sum(quantity) FROM dealer GROUP BY 1;
-- Grouping by GROUPING SETS
SELECT city, car_model, sum(quantity) AS sum FROM dealer
GROUP BY GROUPING SETS ((city, car_model), (city), (car_model), ());
-- Grouping by ROLLUP
SELECT city, car_model, sum(quantity) AS sum FROM dealer
GROUP BY ROLLUP(city, car_model);
SELECT city, car_model, sum(quantity) AS sum FROM dealer
GROUP BY city, car_model WITH ROLLUP;
-- Grouping by CUBE
SELECT city, car_model, sum(quantity) AS sum FROM dealer
GROUP BY CUBE(city, car_model);
SELECT city, car_model, sum(quantity) AS sum FROM dealer
GROUP BY city, car_model WITH CUBE;
出力コード:¶
-- Basic case of GROUP BY
SELECT id,
SUM(quantity) FROM
dealer
GROUP BY 1;
-- Grouping by GROUPING SETS
SELECT city, car_model,
SUM(quantity) AS sum FROM
dealer
GROUP BY GROUPING SETS ((city, car_model), (city), (car_model), () !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'EmptyGroupingSet' NODE ***/!!!);
-- Grouping by ROLLUP
SELECT city, car_model,
SUM(quantity) AS sum FROM
dealer
GROUP BY
ROLLUP(city, car_model);
SELECT city, car_model,
SUM(quantity) AS sum FROM
dealer
GROUP BY
ROLLUP(city, car_model);
-- Grouping by CUBE
SELECT city, car_model,
SUM(quantity) AS sum FROM
dealer
GROUP BY CUBE(city, car_model) !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'CUBE' NODE ***/!!!;
SELECT city, car_model,
SUM(quantity) AS sum FROM
dealer
GROUP BY
CUBE(city, car_model);
ヒント¶
Snowflakeは、JOINs とパーティショニングの自動最適化を実行します。つまり、ヒントは不要で、出力コードにコメントとして保存されます。
入力コード:¶
SELECT
/*+ REBALANCE */ /*+ COALESCE(2) */
*
FROM my_table;
出力コード:¶
SELECT
/*+ REBALANCE */ /*+ COALESCE(2) */
*
FROM
my_table;
CTE¶
AS キーワードはSparkとDatabricksではオプションですが、Snowflakeでは必須なので追加されました。
入力コード:¶
WITH my_cte (
SELECT id, name FROM my_table
)
SELECT *
FROM my_cte
WHERE id = 1;
出力コード:¶
WITH my_cte AS (
SELECT id, name FROM
my_table
)
SELECT *
FROM
my_cte
WHERE id = 1;
LIMIT¶
LIMIT ALL はSnowflakeでは不要なので削除され、リテラル値を持つ LIMIT はそのまま保持されます。
入力コード:¶
SELECT * FROM my_table LIMIT ALL;
SELECT * FROM my_table LIMIT 5;
出力コード:¶
SELECT * FROM
my_table;
SELECT * FROM
my_table
LIMIT 5;
ORDER BY¶
注釈
この句はSnowflakeで完全にサポートされています。
WHERE¶
注釈
この句はSnowflakeで完全にサポートされています。
HAVING¶
注釈
この句はSnowflakeで完全にサポートされています。
FROM table_relation¶
注釈
この句はSnowflakeで完全にサポートされています。
FROM inline_table¶
注釈
この句はSnowflakeで完全にサポートされています。
UNION [ALL | DISTINCT]¶
注釈
この句はSnowflakeで完全にサポートされています。
INTERSECT(キーワードなし)¶
注釈
この句はSnowflakeで完全にサポートされています。
EXCEPT(キーワードなし)¶
注釈
この句はSnowflakeで完全にサポートされています。