Comments (2)
Closing as lazy is a separate backend, not default.
from explorer.
The cool thing about a laziness is that the backend can actually be eager if it believes it is more efficient, although I doubt this is the case given immutability. For peeking, it should be very close to setting a limit and then executing the query, right? But it is probably important to keep it as its own callback, in case other backends may want to do optimizations (for example, maybe Ballista gets only local data when peeking?).
from explorer.
Related Issues (20)
- Bug: Rounding Error in Tests HOT 1
- exposing the `fold` expressions from Polars HOT 7
- :nif_panicked "Chunk require all its arrays to have an equal number of rows" HOT 1
- Sorting an empty DataFrame results in a runtime Polars error HOT 1
- Performance of `DataFrame.new/2` on dataframes containing list columns HOT 7
- `Series.filter` should work inside `DataFrame.summarise` HOT 5
- Large memory usage when using `Explorer.Dataframe.concat_columns` on 30k (small) data frames. Memory leak? HOT 4
- [Not Issue] - Are the plans to use duckdb as an alternative backend? HOT 2
- Support streaming: true on collect HOT 1
- Select from different dataframe inside mutate HOT 1
- Config to make table view default like in Polars itself HOT 1
- Duckdb select statement only works on non first line in the cell HOT 4
- Explorer.DataFrame.from_query/4 with :snowflake adapter returns dtype error on any numeric field HOT 3
- Orders of names after CSV loading seems buggy since 9.0 HOT 5
- Join on columns of type `:list` HOT 2
- Discrepancy between typespec for Series.cast/2 (parameter dtype) and implementation HOT 1
- LazyFrame not being able to cast dtypes HOT 1
- DataFrame.load_csv!/2 seems to fail on certain options HOT 2
- Mathematical operations are newline dependent in `summarise` macro HOT 2
- Support dplyr-like `keep` argument for `mutate` functions HOT 1
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from explorer.