[GitHub] [spark] amaliujia commented on a diff in pull request #40887: [SPARK-43144] Scala Client DataStreamReader table() API

["amaliujia (via GitHub)" <gi...@apache.org>]

amaliujia commented on code in PR #40887:
URL: https://github.com/apache/spark/pull/40887#discussion_r1173134297


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connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala:
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@@ -217,6 +217,20 @@ final class DataStreamReader private[sql] (sparkSession: SparkSession) extends L
    */
   def parquet(path: String): DataFrame = format("parquet").load(path)
 
+  /**
+   * Define a Streaming DataFrame on a Table. The DataSource corresponding to the table should
+   * support streaming mode.
+   * @param tableName The name of the table
+   * @since 3.5.0
+   */
+  def table(tableName: String): DataFrame = {
+    require(tableName != null, "The table name can't be null")
+    sparkSession.newDataFrame { builder =>
+      builder.getReadBuilder.setIsStreaming(true).getNamedTableBuilder

Review Comment:
   Is there a way to also test the options? Maybe `spark.readStream().option().table()`?



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