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https://issues.apache.org/jira/browse/SPARK-25393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25393:
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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}
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