Comments (3)
The profvis output is misleading here (don't know why). distinct
in only called once, but it queries the data base for each column separately. I'm not sure if this can be optimized. What you definitely can do is adding keys to the columns you join and filter on or disable strings_as_factors
.
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Or, if this is an option, pull()
the tibble and continue working with the in-memory data set.
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Had a second look, there is nothing we can do about. Time is spent in joining tables, not in the backends.
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Related Issues (14)
- Re-connect after disconnect HOT 1
- `as_data_backend.tbl_df` should perhaps set it's connector
- Package broken on CRAN
- Support SQL TABLESAMPLE/SAMPLE operations
- Test with parquet as duckdb backend
- Feature: Ability to rename columns HOT 2
- General type conversion for duckdb
- path is unused for `as_duckdb_backend.character`
- finalize method should be private
- mlr3db and duckdb 0.9.0 HOT 1
- Do not create a primary key
- show_query method HOT 1
- R CMD check errors with R_FUTURE_PLAN=multisession HOT 1
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