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Method join

datafusion/core/src/dataframe/mod.rs:1282–1303  ·  view source on GitHub ↗

Join this `DataFrame` with another `DataFrame` using explicitly specified columns and an optional filter expression. See [`join_on`](Self::join_on) for a more concise way to specify the join condition. Since DataFusion will automatically identify and optimize equality predicates there is no performance difference between this function and `join_on` `left_cols` and `right_cols` are used to form "

(
        self,
        right: DataFrame,
        join_type: JoinType,
        left_cols: &[&str],
        right_cols: &[&str],
        filter: Option<Expr>,
    )

Source from the content-addressed store, hash-verified

1280 /// # }
1281 /// ```
1282 pub fn join(
1283 self,
1284 right: DataFrame,
1285 join_type: JoinType,
1286 left_cols: &[&str],
1287 right_cols: &[&str],
1288 filter: Option<Expr>,
1289 ) -> Result<DataFrame> {
1290 let plan = LogicalPlanBuilder::from(self.plan)
1291 .join(
1292 right.plan,
1293 join_type,
1294 (left_cols.to_vec(), right_cols.to_vec()),
1295 filter,
1296 )?
1297 .build()?;
1298 Ok(DataFrame {
1299 session_state: self.session_state,
1300 plan,
1301 projection_requires_validation: true,
1302 })
1303 }
1304
1305 /// Join this `DataFrame` with another `DataFrame` using the specified
1306 /// expressions.

Calls 2

to_vecMethod · 0.80
buildMethod · 0.45