Stream the output of a query to a CSV file
Description
This writes the output of a query directly to a CSV file without collecting it in the R session first. This is useful if the output of the query is still larger than RAM as it would crash the R session if it was collected into R.
Usage
<LazyFrame>$sink_csv(
path,
...,
include_bom = FALSE,
include_header = TRUE,
separator = ",",
line_terminator = "\n",
quote_char = "\"",
batch_size = 1024,
datetime_format = NULL,
date_format = NULL,
time_format = NULL,
float_precision = NULL,
null_values = "",
quote_style = "necessary",
maintain_order = TRUE,
type_coercion = TRUE,
predicate_pushdown = TRUE,
projection_pushdown = TRUE,
simplify_expression = TRUE,
slice_pushdown = TRUE,
no_optimization = FALSE
)
Arguments
path
|
A character. File path to which the file should be written. |
…
|
Ignored. |
include_bom
|
Whether to include UTF-8 BOM (byte order mark) in the CSV output. |
include_header
|
Whether to include header in the CSV output. |
separator
|
Separate CSV fields with this symbol. |
line_terminator
|
String used to end each row. |
quote_char
|
Byte to use as quoting character. |
batch_size
|
Number of rows that will be processed per thread. |
datetime_format
|
A format string, with the specifiers defined by the chrono Rust crate. If no format specified, the default fractional-second precision is inferred from the maximum timeunit found in the frame’s Datetime cols (if any). |
date_format
|
A format string, with the specifiers defined by the chrono Rust crate. |
time_format
|
A format string, with the specifiers defined by the chrono Rust crate. |
float_precision
|
Number of decimal places to write, applied to both Float32 and Float64 datatypes. |
null_values
|
A string representing null values (defaulting to the empty string). |
quote_style
|
Determines the quoting strategy used.
|
maintain_order
|
Maintain the order in which data is processed. Setting this to
FALSE will be slightly faster.
|
type_coercion
|
Logical. Coerce types such that operations succeed and run on minimal required memory. |
predicate_pushdown
|
Logical. Applies filters as early as possible at scan level. |
projection_pushdown
|
Logical. Select only the columns that are needed at the scan level. |
simplify_expression
|
Logical. Various optimizations, such as constant folding and replacing expensive operations with faster alternatives. |
slice_pushdown
|
Logical. Only load the required slice from the scan level. Don’t
materialize sliced outputs (e.g. join$head(10) ).
|
no_optimization
|
Logical. Sets the following parameters to FALSE :
predicate_pushdown , projection_pushdown ,
slice_pushdown , comm_subplan_elim ,
comm_subexpr_elim , cluster_with_columns .
|
Value
Invisibly returns the input LazyFrame
Examples
library("polars")
# sink table 'mtcars' from mem to CSV
tmpf = tempfile()
as_polars_lf(mtcars)$sink_csv(tmpf)
# stream a query end-to-end
tmpf2 = tempfile()
pl$scan_csv(tmpf)$select(pl$col("cyl") * 2)$sink_csv(tmpf2)
# load parquet directly into a DataFrame / memory
pl$scan_csv(tmpf2)$collect()
#> shape: (32, 1)
#> ┌──────┐
#> │ cyl │
#> │ --- │
#> │ f64 │
#> ╞══════╡
#> │ 12.0 │
#> │ 12.0 │
#> │ 8.0 │
#> │ 12.0 │
#> │ 16.0 │
#> │ … │
#> │ 8.0 │
#> │ 16.0 │
#> │ 12.0 │
#> │ 16.0 │
#> │ 8.0 │
#> └──────┘