[jira] [Assigned] (SPARK-25393) Parsing CSV strings in a column

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-25393:
------------------------------------

    Assignee: Apache Spark

> Parsing CSV strings in a column
> -------------------------------
>
>                 Key: SPARK-25393
>                 URL: https://issues.apache.org/jira/browse/SPARK-25393
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Maxim Gekk
>            Assignee: Apache Spark
>            Priority: Minor
>
> There are use cases when content in CSV format is dumped into an external storage as one of columns. For example, CSV records are stored together with other meta-info to Kafka. Current Spark API doesn't allow to parse such columns directly. The existing method [csv()|https://github.com/apache/spark/blob/e754887182304ad0d622754e33192ebcdd515965/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala#L487] requires a dataset with one string column. The API is inconvenient in parsing CSV column in dataset with many columns. The ticket aims to add new function similar to [from_json()|https://github.com/apache/spark/blob/d749d034a80f528932f613ac97f13cfb99acd207/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L3456] with the following signatures in Scala:
> {code:scala}
> def from_csv(e: Column, schema: StructType, options: Map[String, String]): Column
> {code}
> and for using from Python, R and Java:
> {code:scala}
> def from_csv(e: Column, schema: String, options: java.util.Map[String, String]): Column
> {code} 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org