chaoqin-li1123 commented on code in PR #46481:
URL: https://github.com/apache/spark/pull/46481#discussion_r1594551803


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonStreamingDataSourceSuite.scala:
##########
@@ -326,8 +326,11 @@ class PythonStreamingDataSourceSuite extends 
PythonDataSourceSuiteBase {
         lastBatch = q.lastProgress.batchId.toInt
       }
       assert(lastBatch > 20)
+      val rowCount = 
spark.read.format("json").load(outputDir.getAbsolutePath).count()
+      // There may be one uncommitted batch that is not recorded in query 
progress.
+      assert(rowCount == 2 * lastBatch + 2 || rowCount == 2 * lastBatch + 4)

Review Comment:
   Unfortunately there is no graceful way to shutdown a streaming query. I 
can't think of any alternative.



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