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[R] How to round the timestamps in a mutate statement? #31702

Description

@asfimport

I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

Later I found that the round_temporal() function is exposed to {}R{}. 
But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

new_dataset |>
mutate(time = arrow_round_temporal(time))
#> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

Here are some other attempts:

library(arrow)
arrow_now <- Scalar$create(lubridate::now())
(arrow_now)
#> Scalar
#> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
#> Scalar
#> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
#> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
(arrow_unit)
#> Scalar
#> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
#> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

Reporter: Zsolt Kegyes-Brassai / @kbzsl
Watchers: Rok Mihevc / @rok

Related issues:

Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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      [R] How to round the timestamps in a mutate statement? · Issue #31702 · apache/arrow · GitHub
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      [R] How to round the timestamps in a mutate statement? #31702

      Description

      @asfimport

      I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

      Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

      Later I found that the round_temporal() function is exposed to {}R{}. 
      But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

      new_dataset |>
      mutate(time = arrow_round_temporal(time))
      #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

      Here are some other attempts:

      library(arrow)
      arrow_now <- Scalar$create(lubridate::now())
      (arrow_now)
      #> Scalar
      #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
      #> Scalar
      #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
      #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
      (arrow_unit)
      #> Scalar
      #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
      #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

      Reporter: Zsolt Kegyes-Brassai / @kbzsl
      Watchers: Rok Mihevc / @rok

      Related issues:

      Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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          Skip to content

          [R] How to round the timestamps in a mutate statement? #31702

          Description

          @asfimport

          I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

          Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

          Later I found that the round_temporal() function is exposed to {}R{}. 
          But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

          new_dataset |>
          mutate(time = arrow_round_temporal(time))
          #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

          Here are some other attempts:

          library(arrow)
          arrow_now <- Scalar$create(lubridate::now())
          (arrow_now)
          #> Scalar
          #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
          #> Scalar
          #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
          #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
          (arrow_unit)
          #> Scalar
          #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
          #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

          Reporter: Zsolt Kegyes-Brassai / @kbzsl
          Watchers: Rok Mihevc / @rok

          Related issues:

          Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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              Skip to content

              [R] How to round the timestamps in a mutate statement? #31702

              Description

              @asfimport

              I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

              Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

              Later I found that the round_temporal() function is exposed to {}R{}. 
              But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

              new_dataset |>
              mutate(time = arrow_round_temporal(time))
              #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

              Here are some other attempts:

              library(arrow)
              arrow_now <- Scalar$create(lubridate::now())
              (arrow_now)
              #> Scalar
              #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
              #> Scalar
              #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
              #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
              (arrow_unit)
              #> Scalar
              #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
              #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

              Reporter: Zsolt Kegyes-Brassai / @kbzsl
              Watchers: Rok Mihevc / @rok

              Related issues:

              Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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                  Skip to content

                  [R] How to round the timestamps in a mutate statement? #31702

                  Description

                  @asfimport

                  I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

                  Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

                  Later I found that the round_temporal() function is exposed to {}R{}. 
                  But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

                  new_dataset |>
                  mutate(time = arrow_round_temporal(time))
                  #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

                  Here are some other attempts:

                  library(arrow)
                  arrow_now <- Scalar$create(lubridate::now())
                  (arrow_now)
                  #> Scalar
                  #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
                  #> Scalar
                  #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
                  #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
                  (arrow_unit)
                  #> Scalar
                  #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
                  #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

                  Reporter: Zsolt Kegyes-Brassai / @kbzsl
                  Watchers: Rok Mihevc / @rok

                  Related issues:

                  Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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                      Skip to content

                      [R] How to round the timestamps in a mutate statement? #31702

                      Description

                      @asfimport

                      I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

                      Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

                      Later I found that the round_temporal() function is exposed to {}R{}. 
                      But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

                      new_dataset |>
                      mutate(time = arrow_round_temporal(time))
                      #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

                      Here are some other attempts:

                      library(arrow)
                      arrow_now <- Scalar$create(lubridate::now())
                      (arrow_now)
                      #> Scalar
                      #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
                      #> Scalar
                      #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
                      #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
                      (arrow_unit)
                      #> Scalar
                      #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
                      #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

                      Reporter: Zsolt Kegyes-Brassai / @kbzsl
                      Watchers: Rok Mihevc / @rok

                      Related issues:

                      Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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                          Skip to content

                          [R] How to round the timestamps in a mutate statement? #31702

                          Description

                          @asfimport

                          I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

                          Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

                          Later I found that the round_temporal() function is exposed to {}R{}. 
                          But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

                          new_dataset |>
                          mutate(time = arrow_round_temporal(time))
                          #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

                          Here are some other attempts:

                          library(arrow)
                          arrow_now <- Scalar$create(lubridate::now())
                          (arrow_now)
                          #> Scalar
                          #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
                          #> Scalar
                          #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
                          #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
                          (arrow_unit)
                          #> Scalar
                          #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
                          #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

                          Reporter: Zsolt Kegyes-Brassai / @kbzsl
                          Watchers: Rok Mihevc / @rok

                          Related issues:

                          Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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                              Skip to content

                              [R] How to round the timestamps in a mutate statement? #31702

                              Description

                              @asfimport

                              I was trying to aggregate over time using different granularity. Usually I would use the lubridate::floor_date() , which is currently not supported for parquet datasets.

                              Is there any comprehensive list of supported list of currently supported {}lubridate (or dplyr{}) verbs? Maybe, it’s only my fault, but except the changelog I haven’t find any relevant information.

                              Later I found that the round_temporal() function is exposed to {}R{}. 
                              But I am struggling to find the right syntax inside a mutate statement to apply on a timestamp[us, tz=UTC] type column.

                              new_dataset |>
                              mutate(time = arrow_round_temporal(time))
                              #> Error: Invalid: AttemptedtoinitializeKernelStatefromnullFunctionOptions

                              Here are some other attempts:

                              library(arrow)
                              arrow_now <- Scalar$create(lubridate::now())
                              (arrow_now)
                              #> Scalar
                              #> 2022-04-2511:44:33.805609call_function("round_temporal", arrow_now)
                              #> Scalar
                              #> 2022-04-2500:00:00.000000call_function("round_temporal", arrow_now, unit = "day")
                              #> Error: Argument2isofclasscharacterbutitmustbeoneof"Array", "ChunkedArray", "RecordBatch", "Table", or"Scalar"arrow_unit <- Scalar$create("day")
                              (arrow_unit)
                              #> Scalar
                              #> daycall_function("round_temporal", arrow_now, unit = arrow_unit)
                              #> Error: Invalid: Function'round_temporal'accepts1argumentsbutattemptedtolookupkernel(s) with2

                              Reporter: Zsolt Kegyes-Brassai / @kbzsl
                              Watchers: Rok Mihevc / @rok

                              Related issues:

                              Note: This issue was originally created as ARROW-16316. Please see the migration documentation for further details.

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