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feat: support multiple value for pivot #1970

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chenkovsky
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https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-pivot.html

currently this sql is not supported.

SELECT * FROM person
    PIVOT (
        SUM(age) AS a, AVG(class) AS c
        FOR (name, age) IN (('John', 30) AS c1, ('Mike', 40) AS c2)
    );

@@ -1336,7 +1336,7 @@ pub enum TableFactor {
Pivot {
table: Box<TableFactor>,
aggregate_functions: Vec<ExprWithAlias>, // Function expression
value_column: Vec<Ident>,
value_column: Vec<Expr>, // Expr is a identifier or a compound identifier
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Suggested change
value_column: Vec<Expr>, // Expr is a identifier or a compound identifier
value_column: Vec<Expr>,

Comment on lines +10933 to +10936
assert_eq!(
verified_stmt(sql_with_multiple_value_column).to_string(),
sql_with_multiple_value_column
);
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hmm this assertion is probably not needed, I think verified_stmt already does the same assertion

Comment on lines +13843 to +13849
let value_column = if self.peek_token_ref().token == Token::LParen {
self.parse_parenthesized_compound_identifier_list(Mandatory, false)?
} else {
vec![Expr::CompoundIdentifier(
self.parse_period_separated(|p| p.parse_identifier())?,
)]
};
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similar to unpivot can we call parse_expr directly here?

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no, we cannot do it here. (name, age) IN (('John', 30) AS c1, ('Mike', 40) AS c2) will be parsed as an expr.

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2 participants