[SPARK-29999][SS] Handle FileStreamSink metadata correctly for empty partition

### What changes were proposed in this pull request?

This patch checks the existence of output file for each task while committing the task, so that it doesn't throw FileNotFoundException while creating SinkFileStatus. The check is newly required for DSv2 implementation of FileStreamSink, as it is changed to create the output file lazily (as an improvement).

JSON writer for example: https://github.com/apache/spark/blob/9ec2a4e58caa4128e9c690d72239cebd6b732084/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonOutputWriter.scala#L49-L60

### Why are the changes needed?

Without this patch, FileStreamSink throws FileNotFoundException when writing empty partition.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

Added UT.

Closes apache#26639 from HeartSaVioR/SPARK-29999.

Authored-by: Jungtaek Lim (HeartSaVioR) <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: HeartSaVioR

sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ManifestFileCommitProtocol.scala

@@ -22,7 +22,7 @@ import java.util.UUID
 
 import scala.collection.mutable.ArrayBuffer
 
-import org.apache.hadoop.fs.Path
+import org.apache.hadoop.fs.{FileSystem, Path}
 import org.apache.hadoop.mapreduce.{JobContext, TaskAttemptContext}
 
 import org.apache.spark.internal.Logging
@@ -89,9 +89,7 @@ class ManifestFileCommitProtocol(jobId: String, path: String)
         try {
           val fs = path.getFileSystem(jobContext.getConfiguration)
           // this is to make sure the file can be seen from driver as well
-          if (fs.exists(path)) {
-            fs.delete(path, false)
-          }
+          deleteIfExists(fs, path)
         } catch {
           case e: IOException =>
             logWarning(s"Fail to remove temporary file $path, continue removing next.", e)
@@ -139,7 +137,14 @@ class ManifestFileCommitProtocol(jobId: String, path: String)
     if (addedFiles.nonEmpty) {
       val fs = new Path(addedFiles.head).getFileSystem(taskContext.getConfiguration)
       val statuses: Seq[SinkFileStatus] =
-        addedFiles.map(f => SinkFileStatus(fs.getFileStatus(new Path(f))))
+        addedFiles.flatMap { f =>
+          val path = new Path(f)
+          if (fs.exists(path)) {
+            Some(SinkFileStatus(fs.getFileStatus(path)))
+          } else {
+            None
+          }
+        }
       new TaskCommitMessage(statuses)
     } else {
       new TaskCommitMessage(Seq.empty[SinkFileStatus])
@@ -150,7 +155,13 @@ class ManifestFileCommitProtocol(jobId: String, path: String)
     // best effort cleanup of incomplete files
     if (addedFiles.nonEmpty) {
       val fs = new Path(addedFiles.head).getFileSystem(taskContext.getConfiguration)
-      addedFiles.foreach { file => fs.delete(new Path(file), false) }
+      addedFiles.foreach { file => deleteIfExists(fs, new Path(file)) }
+    }
+  }
+
+  private def deleteIfExists(fs: FileSystem, path: Path, recursive: Boolean = false): Unit = {
+    if (fs.exists(path)) {
+      fs.delete(path, recursive)
     }
   }
 }

sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala

@@ -600,11 +600,61 @@ class FileStreamSinkV1Suite extends FileStreamSinkSuite {
 }
 
 class FileStreamSinkV2Suite extends FileStreamSinkSuite {
+  import testImplicits._
+
   override protected def sparkConf: SparkConf =
     super
       .sparkConf
       .set(SQLConf.USE_V1_SOURCE_LIST, "")
 
+  test("SPARK-29999 Handle FileStreamSink metadata correctly for empty partition") {
+    Seq("parquet", "orc", "text", "json").foreach { format =>
+      val inputData = MemoryStream[String]
+      val df = inputData.toDF()
+
+      withTempDir { outputDir =>
+        withTempDir { checkpointDir =>
+          var query: StreamingQuery = null
+          try {
+            // repartition to more than the input to leave empty partitions
+            query =
+              df.repartition(10)
+                .writeStream
+                .option("checkpointLocation", checkpointDir.getCanonicalPath)
+                .format(format)
+                .start(outputDir.getCanonicalPath)
+
+            inputData.addData("1", "2", "3")
+            inputData.addData("4", "5")
+
+            failAfter(streamingTimeout) {
+              query.processAllAvailable()
+            }
+          } finally {
+            if (query != null) {
+              query.stop()
+            }
+          }
+
+          val fs = new Path(outputDir.getCanonicalPath).getFileSystem(
+            spark.sessionState.newHadoopConf())
+          val sinkLog = new FileStreamSinkLog(FileStreamSinkLog.VERSION, spark,
+            outputDir.getCanonicalPath)
+
+          val allFiles = sinkLog.allFiles()
+          // only files from non-empty partition should be logged
+          assert(allFiles.length < 10)
+          assert(allFiles.forall(file => fs.exists(new Path(file.path))))
+
+          // the query should be able to read all rows correctly with metadata log
+          val outputDf = spark.read.format(format).load(outputDir.getCanonicalPath)
+            .selectExpr("CAST(value AS INT)").as[Int]
+          checkDatasetUnorderly(outputDf, 1, 2, 3, 4, 5)
+        }
+      }
+    }
+  }
+
   override def checkQueryExecution(df: DataFrame): Unit = {
     // Verify that MetadataLogFileIndex is being used and the correct partitioning schema has
     // been inferred