dongjoon-hyun commented on code in PR #46481:
URL: https://github.com/apache/spark/pull/46481#discussion_r1594531248
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sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonStreamingDataSourceSuite.scala:
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@@ -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:
Is this a correct way to fix the root cause of flakiness?
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