[jira] [Assigned] (SPARK-20009) Use user-friendly DDL formats for defining a schema in user-facing APIs
[ https://issues.apache.org/jira/browse/SPARK-20009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20009: Assignee: (was: Apache Spark) > Use user-friendly DDL formats for defining a schema in user-facing APIs > > > Key: SPARK-20009 > URL: https://issues.apache.org/jira/browse/SPARK-20009 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.1.0 >Reporter: Takeshi Yamamuro > > In https://issues.apache.org/jira/browse/SPARK-19830, we add a new API in the > DDL parser to convert a DDL string into a schema. Then, we can use DDL > formats in existing some APIs, e.g., functions.from_json > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L3062. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-20009) Use user-friendly DDL formats for defining a schema in user-facing APIs
[ https://issues.apache.org/jira/browse/SPARK-20009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20009: Assignee: Apache Spark > Use user-friendly DDL formats for defining a schema in user-facing APIs > > > Key: SPARK-20009 > URL: https://issues.apache.org/jira/browse/SPARK-20009 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.1.0 >Reporter: Takeshi Yamamuro >Assignee: Apache Spark > > In https://issues.apache.org/jira/browse/SPARK-19830, we add a new API in the > DDL parser to convert a DDL string into a schema. Then, we can use DDL > formats in existing some APIs, e.g., functions.from_json > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L3062. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
