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This is one of my typical workflow: `con (say odbc) --> tbl --> some_dplyr_ops --> save (as a table)`. Note that data does NOT come into the R's memory. But the code does look clumpsy:
```
tbl_dbp…
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Currently, **ggvis** does not work with non-dataframe **dplyr** backends (e.g. SQL, etc). Is such functionality envisaged?
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Hi @hadley @mgirlich, I might be misunderstanding but I think there might be some inconsistency in the way that stringr::str_like() is being translated with respect to the argument ignore_case
In t…
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This is really long down the roadmap but could be a very cool extension of dplyr's support for SQL backends
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@hadley @mgirlich I notice that with the current version of dbplyr if I put head() in my pipeline it will return the same sql whether it was before or after a filter. I imagine this relates to the sql…
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A useful feature of dbplyr is automatically passing through unknown calls straight into SQL, e.g. some flavors support `ANY_VALUE()` to take a value from a column arbitrarily during aggregation:
``…
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dbplyr 2.4.0.9000 Microsoft Access 2019, 64 bit
(Edited 1.12.2023 to make case clearer)
I have seen #1130, but I am using the github version of tidyverse
```
library(dbplyr)
library(dplyr, w…
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Hi,
I am trying to regularly match 1000+ query spectra to 100,000+ target spectra.
Currently, this is easily doable in minutes using `matchms` in python.
I never obtained such results using `Meta…
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I am benchmarking our [NCBITaxonomy](https://github.com/PoisotLab/NCBITaxonomy.jl) package for Julia, and I am finding the time it takes for `taxadb` to return a result to be very slow. Here is the co…
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https://crates.io/crates/polars-sql
https://docs.rs/polars-sql/0.36.2/polars_sql/fn.sql_expr.html
https://docs.pola.rs/py-polars/html/reference/sql
I'm not a huge fan of python polars here with r…