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Description
Add join support to DataFrame and LogicalPlan.
Logical Plan
My initial thoughts on the design of the LogicalPlan struct would be:
struct InnerJoin {
left: Box<LogicalPlan>,
right: Box<LogicalPlan>,
left_keys: Vec<Expr>,
right_keys: Vec<Expr>
} The left_keys and right_keys vectors must have the same length. Example pseudo-code:
let join = InnerJoin {
left: read_parquet("customers"),
right: read_parquer("orders"),
left_keys: vec![col("id")],
right_keys: vec![col("customer_id")]
}; DataFrame
let customer = ctx.read_parquet("customers").alias("c");
let orders = ctx.read_parquet("orders").alias("o");
// generic join method that can support all types of join
let join = customer.join(orders, col("c.id").eq("o.customer_id"))
// or we could start with a more specific equijoin method
let join = customer.inner_join(orders, vec![col("id")], vec![col("customer_id")]);
Reporter: Andy Grove / @andygrove
Assignee: Andy Grove / @andygrove
PRs and other links:
Note: This issue was originally created as ARROW-10585. Please see the migration documentation for further details.