[GitHub] [spark] bozhang2820 commented on a change in pull request #33763: [SPARK-36533][SS] Trigger.AvailableNow for running streaming queries like Trigger.Once in multiple batches

[GitBox <gi...@apache.org>]

bozhang2820 commented on a change in pull request #33763:
URL: https://github.com/apache/spark/pull/33763#discussion_r699107404



##########
File path: sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala
##########
@@ -1304,6 +1304,140 @@ class FileStreamSourceSuite extends FileStreamSourceTest {
     }
   }
 
+  test("SPARK-36533: Trigger.AvailableNow") {
+    withTempDirs { (src, target) =>
+      val checkpoint = new File(target, "chk").getCanonicalPath
+      val targetDir = new File(target, "data").getCanonicalPath
+      var lastFileModTime: Option[Long] = None
+
+      /** Create a text file with a single data item */
+      def createFile(data: Int): File = {
+        val file = stringToFile(new File(src, s"$data.txt"), data.toString)
+        if (lastFileModTime.nonEmpty) file.setLastModified(lastFileModTime.get + 1000)
+        lastFileModTime = Some(file.lastModified)
+        file
+      }
+
+      createFile(1)
+      createFile(2)
+      createFile(3)
+
+      // Set up a query to read text files one at a time
+      val df = spark
+        .readStream
+        .option("maxFilesPerTrigger", 1)
+        .text(src.getCanonicalPath)
+
+      def startQuery(): StreamingQuery = {
+        df.writeStream
+          .format("parquet")
+          .trigger(Trigger.AvailableNow)
+          .option("checkpointLocation", checkpoint)
+          .start(targetDir)
+      }
+      val q = startQuery()
+
+      try {

Review comment:
       I find it a bit hard to control the order between starting the query and adding new files into the source. Do you know if there is an easy way to do so?




-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org