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[SPARK-6635][SQL] DataFrame.withColumn should replace columns with identical column names #5541

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@viirya viirya commented Apr 16, 2015

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SparkQA commented Apr 16, 2015

Test build #30413 has finished for PR 5541 at commit 72f35b1.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.
  • This patch does not change any dependencies.


val df2 = TestSQLContext.sparkContext.parallelize(Array(1, 2, 3)).toDF("x")
val df3 = df2.withColumn("x", df2("x") + 1)
assert(df3.select("x").collect().toSeq === Seq(Row(2), Row(3), Row(4)))
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Make this its own test and use checkAnswer to check the result.

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SparkQA commented Apr 17, 2015

Test build #30469 has finished for PR 5541 at commit b539c7b.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.
  • This patch does not change any dependencies.

@asfgit asfgit closed this in c736220 Apr 21, 2015
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Thanks! Merged to master.

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Pull requests to improve documentation are always welcome :)

nemccarthy pushed a commit to nemccarthy/spark that referenced this pull request Jun 19, 2015
…entical column names

JIRA https://issues.apache.org/jira/browse/SPARK-6635

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes apache#5541 from viirya/replace_with_column and squashes the following commits:

b539c7b [Liang-Chi Hsieh] For comment.
72f35b1 [Liang-Chi Hsieh] DataFrame.withColumn can replace original column with identical column name.
@viirya viirya deleted the replace_with_column branch December 27, 2023 18:17
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