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[FEAT] connect:
with_columns_renamed
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src/daft-connect/src/translation/logical_plan/with_columns_renamed.rs
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use daft_dsl::col; | ||
use eyre::{bail, Context}; | ||
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use crate::translation::Plan; | ||
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pub async fn with_columns_renamed( | ||
with_columns_renamed: spark_connect::WithColumnsRenamed, | ||
) -> eyre::Result<Plan> { | ||
let spark_connect::WithColumnsRenamed { | ||
input, | ||
rename_columns_map, | ||
renames, | ||
} = with_columns_renamed; | ||
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let Some(input) = input else { | ||
bail!("Input is required"); | ||
}; | ||
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let mut plan = Box::pin(crate::translation::to_logical_plan(*input)).await?; | ||
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// todo: let's implement this directly into daft | ||
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// Convert the rename mappings into expressions | ||
let rename_exprs = if !rename_columns_map.is_empty() { | ||
// Use rename_columns_map if provided (legacy format) | ||
rename_columns_map | ||
.into_iter() | ||
.map(|(old_name, new_name)| col(old_name.as_str()).alias(new_name.as_str())) | ||
.collect() | ||
} else { | ||
// Use renames if provided (new format) | ||
renames | ||
.into_iter() | ||
.map(|rename| col(rename.col_name.as_str()).alias(rename.new_col_name.as_str())) | ||
.collect() | ||
}; | ||
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// Apply the rename expressions to the plan | ||
plan.builder = plan | ||
.builder | ||
.select(rename_exprs) | ||
.wrap_err("Failed to apply rename expressions to logical plan")?; | ||
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Ok(plan) | ||
} |
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from __future__ import annotations | ||
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def test_with_columns_renamed(spark_session): | ||
# Test withColumnRenamed | ||
df = spark_session.range(5) | ||
renamed_df = df.withColumnRenamed("id", "number") | ||
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collected = renamed_df.collect() | ||
assert len(collected) == 5 | ||
assert "number" in renamed_df.columns | ||
assert "id" not in renamed_df.columns | ||
assert [row["number"] for row in collected] == list(range(5)) | ||
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# todo: this edge case is a spark connect bug; it will only send rename of id -> character over protobuf | ||
# # Test withColumnsRenamed | ||
# df = spark_session.range(2) | ||
# renamed_df = df.withColumnsRenamed({"id": "number", "id": "character"}) | ||
# | ||
# collected = renamed_df.collect() | ||
# assert len(collected) == 2 | ||
# assert set(renamed_df.columns) == {"number", "character"} | ||
# assert "id" not in renamed_df.columns | ||
# assert [(row["number"], row["character"]) for row in collected] == [(0, 0), (1, 1)] |