sdf_with_sequential_id: Add a Sequential ID Column to a Spark DataFrame
In rstudio/sparklyr: R Interface to Apache Spark
View source: R/sdf_interface.R
sdf_with_sequential_id R Documentation
Add a Sequential ID Column to a Spark DataFrame
Description
Add a sequential ID column to a Spark DataFrame. The Spark
zipWithIndex function is used to produce these. This differs from
sdf_with_unique_id in that the IDs generated are independent of
partitioning.
Usage
sdf_with_sequential_id(x, id = "id", from = 1L)
Arguments
x
A spark_connection, ml_pipeline, or a tbl_spark.
id
The name of the column to host the generated IDs.
from
The starting value of the id column
rstudio/sparklyr documentation built on Sept. 18, 2024, 6:10 a.m.
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View source: R/sdf_interface.R
| sdf_with_sequential_id | R Documentation |
Add a Sequential ID Column to a Spark DataFrame
Description
Add a sequential ID column to a Spark DataFrame. The Spark
zipWithIndex function is used to produce these. This differs from
sdf_with_unique_id in that the IDs generated are independent of
partitioning.
Usage
sdf_with_sequential_id(x, id = "id", from = 1L)
Arguments
x |
A |
id |
The name of the column to host the generated IDs. |
from |
The starting value of the id column |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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