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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/08/17 07:19:00 UTC
[jira] [Assigned] (SPARK-40103) Support read/write.csv() in SparkR
[ https://issues.apache.org/jira/browse/SPARK-40103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-40103:
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Assignee: Apache Spark
> Support read/write.csv() in SparkR
> ----------------------------------
>
> Key: SPARK-40103
> URL: https://issues.apache.org/jira/browse/SPARK-40103
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Affects Versions: 3.3.0
> Reporter: deshanxiao
> Assignee: Apache Spark
> Priority: Major
>
> Today, almost languages support the DataFrameReader.csv API, only R is missing. we need to use df.read() to read the csv file. We need a more high-level api for it.
> Java:
> [DataFrameReader.csv()|https://spark.apache.org/docs/latest/api/java/org/apache/spark/sql/DataFrameReader.html]
> Scala:
> [DataFrameReader.csv()|https://spark.apache.org/docs/latest/api/scala/org/apache/spark/sql/DataFrameReader.html#csv(paths:String*):org.apache.spark.sql.DataFrame]
> Python:
> [DataFrameReader.csv()|https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrameReader.csv.html#pyspark.sql.DataFrameReader.csv]
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