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Posted to commits@spark.apache.org by gu...@apache.org on 2025/01/22 22:46:46 UTC

(spark) branch branch-4.0 updated: [MINOR][SQL] Avoid importing java.util at DataFrameWriter

This is an automated email from the ASF dual-hosted git repository.

gurwls223 pushed a commit to branch branch-4.0
in repository https://gitbox.apache.org/repos/asf/spark.git


The following commit(s) were added to refs/heads/branch-4.0 by this push:
     new 00d0b7d4fba6 [MINOR][SQL] Avoid importing java.util at DataFrameWriter
00d0b7d4fba6 is described below

commit 00d0b7d4fba6ee3286712df4f5b6d779f4ab6ef2
Author: Hyukjin Kwon <gu...@apache.org>
AuthorDate: Thu Jan 23 07:46:28 2025 +0900

    [MINOR][SQL] Avoid importing java.util at DataFrameWriter
    
    ### What changes were proposed in this pull request?
    
    This PR avoids importing java.util at DataFrameWriter.
    
    ### Why are the changes needed?
    
    Using `util` in the codebase is confusing and confusing if it requires Spark utils or other utils.
    
    ### Does this PR introduce _any_ user-facing change?
    
    No, dev-only.
    
    ### How was this patch tested?
    
    Existing tests.
    
    ### Was this patch authored or co-authored using generative AI tooling?
    
    No.
    
    Closes #49602 from HyukjinKwon/minor-cleanup1.
    
    Authored-by: Hyukjin Kwon <gu...@apache.org>
    Signed-off-by: Hyukjin Kwon <gu...@apache.org>
    (cherry picked from commit 44a334f520a0e3f3ea1b7d60084a1cfdc82bd2ad)
    Signed-off-by: Hyukjin Kwon <gu...@apache.org>
---
 .../src/main/scala/org/apache/spark/sql/DataFrameWriter.scala | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/api/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 1838c6bc8468..be239eafbceb 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -16,7 +16,7 @@
  */
 package org.apache.spark.sql
 
-import java.util
+import java.util.{Locale, Map, Properties}
 
 import scala.jdk.CollectionConverters._
 
@@ -56,7 +56,7 @@ abstract class DataFrameWriter[T] {
    * @since 1.4.0
    */
   def mode(saveMode: String): this.type = {
-    saveMode.toLowerCase(util.Locale.ROOT) match {
+    saveMode.toLowerCase(Locale.ROOT) match {
       case "overwrite" => mode(SaveMode.Overwrite)
       case "append" => mode(SaveMode.Append)
       case "ignore" => mode(SaveMode.Ignore)
@@ -139,7 +139,7 @@ abstract class DataFrameWriter[T] {
    *
    * @since 1.4.0
    */
-  def options(options: util.Map[String, String]): this.type = {
+  def options(options: Map[String, String]): this.type = {
     this.options(options.asScala)
     this
   }
@@ -323,7 +323,7 @@ abstract class DataFrameWriter[T] {
    *   "READ_UNCOMMITTED".
    * @since 1.4.0
    */
-  def jdbc(url: String, table: String, connectionProperties: util.Properties): Unit = {
+  def jdbc(url: String, table: String, connectionProperties: Properties): Unit = {
     assertNotPartitioned("jdbc")
     assertNotBucketed("jdbc")
     assertNotClustered("jdbc")
@@ -503,7 +503,8 @@ abstract class DataFrameWriter[T] {
 
   protected var mode: SaveMode = SaveMode.ErrorIfExists
 
-  protected var extraOptions: CaseInsensitiveMap[String] = CaseInsensitiveMap[String](Map.empty)
+  protected var extraOptions: CaseInsensitiveMap[String] =
+    CaseInsensitiveMap[String](scala.collection.immutable.Map.empty)
 
   protected var partitioningColumns: Option[Seq[String]] = None
 


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