[ https://issues.apache.org/jira/browse/SPARK-25393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-25393: ------------------------------------ Assignee: Maxim Gekk > 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: Maxim Gekk > Priority: Minor > Fix For: 3.0.0 > > > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org