You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/03/14 23:06:00 UTC
[jira] [Assigned] (SPARK-27166) Improve `printSchema` to print up
to the given level
[ https://issues.apache.org/jira/browse/SPARK-27166?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-27166:
------------------------------------
Assignee: (was: Apache Spark)
> Improve `printSchema` to print up to the given level
> ----------------------------------------------------
>
> Key: SPARK-27166
> URL: https://issues.apache.org/jira/browse/SPARK-27166
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Dongjoon Hyun
> Priority: Minor
>
> This issue aims to improve `printSchema` to be able to print up to the given level of the schema.
> {code:java}
> scala> val df = Seq((1,(2,(3,4)))).toDF
> df: org.apache.spark.sql.DataFrame = [_1: int, _2: struct<_1: int, _2: struct<_1: int, _2: int>>]
> scala> df.printSchema
> root
> |-- _1: integer (nullable = false)
> |-- _2: struct (nullable = true)
> | |-- _1: integer (nullable = false)
> | |-- _2: struct (nullable = true)
> | | |-- _1: integer (nullable = false)
> | | |-- _2: integer (nullable = false)
> scala> df.printSchema(1)
> root
> |-- _1: integer (nullable = false)
> |-- _2: struct (nullable = true)
> scala> df.printSchema(2)
> root
> |-- _1: integer (nullable = false)
> |-- _2: struct (nullable = true)
> | |-- _1: integer (nullable = false)
> | |-- _2: struct (nullable = true)
> scala> df.printSchema(3)
> root
> |-- _1: integer (nullable = false)
> |-- _2: struct (nullable = true)
> | |-- _1: integer (nullable = false)
> | |-- _2: struct (nullable = true)
> | | |-- _1: integer (nullable = false)
> | | |-- _2: integer (nullable = false){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