Comments (4)
avimallu
commented on August 18, 2024
Related #9335
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ritchie46
commented on August 18, 2024
In an inner join, there is no point in keeping the right column, it is redundant. There is no extra information there.
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Hattonuri
commented on August 18, 2024
It is not redundant because it has different name. If I have the code that puts some sense in the name of the second column - we lose that sense after join and have to use the first name
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orlp
commented on August 18, 2024
This is currently by design but will be changed once we implement the coalesce parameter for joins. So I'm closing this issue in favor of that one.
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Related Issues (20)
- `implode` results in extra level of nesting when run within a `group_by(...).agg` HOT 2
- Support reading directly from zipfile.Path objects. HOT 2
- Read_json panics when infer_schema_length = 0
- `explain(streaming=True)` isn't showing correct plan
- Data in csv files with less columns than schema shifts data. HOT 4
- Add the argument `ignore_nulls` in `.arr.all()`, `.arr.any()`, `.list.all()` and `.list.any()`
- read_database_uri panics for dates beyond 2262.04.11 HOT 2
- Move streaming engine original plan to separate field on the `IRPlan`
- Write upgrade guide for 1.0.0
- Polars is unable to parse dates beyond 2262.04.11 HOT 1
- Make a ParquetWriter context handler and/or more control over row group creation
- Casting to float32, int32, int16 and int8 in polars is slower than pandas in larger dfs HOT 4
- Interpolate based on other Float64 column HOT 3
- Comparing 0 with UInt64 values larger than Int64::MAX incorrectly return NULL
- `read_csv` ignores the `columns` parameter when reading an empty CSV file with header HOT 1
- Inconsistent XOR when using literals
- `pl.concat_str(...)`'s `ignore_nulls` arg field
- In `pl.read_csv(...)`, allow `separator=None` in order to read everything into only a single column HOT 1
- pl.DataFrame loads in 2D lists in unexpected way HOT 5
- `join_asof` breaks with certain parquet files (I think due to memory layout or something?) HOT 2
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