== Results ==
!== Correct Answer - 91 == == Spark Answer - 88 ==
 struct<value:int> struct<value:int>
 [10] [10]
 [11] [11]
 [12] [12]
 [13] [13]
 [14] [14]
 [15] [15]
 [16] [16]
 [17] [17]
 [18] [18]
 [19] [19]
 [1] [1]
 [20] [20]
 [21] [21]
 [22] [22]
 [23] [23]
 [24] [24]
 [25] [25]
 [26] [26]
 [27] [27]
 [28] [28]
 [29] [29]
 [2] [2]
 [30] [30]
 [31] [31]
 [32] [32]
 [33] [33]
 [34] [34]
 [35] [35]
 [36] [36]
 [37] [37]
 [38] [38]
 [39] [39]
 [3] [3]
 [40] [40]
 [41] [41]
 [42] [42]
 [43] [43]
 [44] [44]
 [45] [45]
 [46] [46]
 [47] [47]
 [48] [48]
 [49] [49]
 [4] [4]
 [50] [50]
 [51] [51]
 [52] [52]
 [53] [53]
 [54] [54]
 [55] [55]
 [56] [56]
 [57] [57]
 [58] [58]
 [59] [59]
 [5] [5]
 [60] [60]
 [61] [61]
 [62] [62]
 [63] [63]
 [64] [64]
 [65] [65]
 [66] [66]
 [67] [67]
 [68] [68]
![69] [6]
![6] [72]
![70] [73]
![71] [74]
![72] [75]
![73] [76]
![74] [77]
![75] [78]
![76] [79]
![77] [7]
![78] [80]
![79] [81]
![7] [82]
![80] [83]
![81] [84]
![82] [85]
![83] [86]
![84] [87]
![85] [88]
![86] [89]
![87] [8]
![88] [90]
![89] [91]
![8] [9]
![90] 
![91] 
![9] 
 

== Progress ==
 AssertOnQuery(<condition>, )
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 0 until 6, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6]
 StopStream
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 6 until 9, message = )
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 9 until 18, message = )
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = empty Range 18 until 18, message = Add partition)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4a40ef1,Map(),null)
 AddKafkaData(topics = Set(stress1, stress3, stress4, stress5), data = Range 18 until 21, message = Delete topic stress2)
 AddKafkaData(topics = Set(stress1, stress3, stress4, stress5), data = Range 21 until 25, message = )
 AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 25 until 34, message = Delete topic stress3)
 AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 34 until 40, message = Add partition)
 AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = Range 40 until 42, message = Add topic stress7)
 AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = empty Range 42 until 42, message = )
 AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = Range 42 until 51, message = )
 AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 51 until 59, message = Delete topic stress6)
 AddKafkaData(topics = Set(stress1, stress5), data = empty Range 59 until 59, message = Delete topic stress4)
 AddKafkaData(topics = Set(stress1, stress5), data = Range 59 until 62, message = Delete topic stress1)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1b91c495,Map(),null)
 AddKafkaData(topics = Set(stress1, stress5), data = Range 62 until 65, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65]
 StopStream
 AddKafkaData(topics = Set(stress1, stress5), data = Range 65 until 67, message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1a10e18d,Map(),null)
 AddKafkaData(topics = Set(stress1, stress5), data = Range 67 until 74, message = Add partition)
 AddKafkaData(topics = Set(stress1), data = Range 74 until 77, message = Delete topic stress5)
 AddKafkaData(topics = Set(stress1), data = Range 77 until 81, message = Add partition)
 AddKafkaData(topics = Set(stress1), data = Range 81 until 88, message = Delete topic stress1)
 AddKafkaData(topics = Set(stress1), data = Range 88 until 91, message = Add partition)
 AddKafkaData(topics = Set(stress1), data = empty Range 91 until 91, message = )
=> CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91]
 AddKafkaData(topics = Set(stress1), data = Range 91 until 93, message = )
 AddKafkaData(topics = Set(stress1), data = empty Range 93 until 93, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@3cda6991,Map(),null)
 AddKafkaData(topics = Set(stress1), data = Range 93 until 94, message = Delete topic stress1)
 AddKafkaData(topics = Set(stress1), data = Range 94 until 103, message = )
 AddKafkaData(topics = Set(stress1), data = Range 103 until 106, message = Add partition)
 AddKafkaData(topics = Set(stress1), data = empty Range 106 until 106, message = Delete topic stress1)
 AddKafkaData(topics = Set(stress1), data = Range 106 until 107, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107]
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107]
 StopStream
 AddKafkaData(topics = Set(stress1), data = Range 107 until 115, message = Add partition)
 AddKafkaData(topics = Set(stress1, stress8), data = Range 115 until 121, message = Add topic stress9)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@12b8f4c9,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121]
 AddKafkaData(topics = Set(stress1, stress8), data = empty Range 121 until 121, message = Add partition)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121]
 AddKafkaData(topics = Set(stress1, stress8), data = Range 121 until 130, message = Add partition)
 AddKafkaData(topics = Set(stress1, stress8), data = Range 130 until 134, message = )
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129],[130],[131],[132],[133],[134]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@25e331ff,Map(),null)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129],[130],[131],[132],[133],[134]

== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}}
Thread state: alive
Thread stack trace: java.base@11.0.1/java.lang.Thread.sleep(Native Method)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:230)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2342/0x0000000800f27840.apply$mcZ$sp(Unknown Source)
app//org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175)
app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)


== Sink ==
0: 
1: [3] [2] [1]
2: [6] [5] [4]
3: [13] [7] [10] [16] [15] [11] [17] [14] [9] [8] [12] [18]
4: [20] [19] [21]
5: [23] [22] [24] [25]
6: [29] [27] [34] [31] [30] [32] [28] [26] [33]
7: 
8: [40] [35] [38] [36] [39] [37]
9: [42] [41]
10: 
11: [43] [44] [45]
12: [46] [47] [48] [49] [50] [51]
13: [54] [58] [52] [56] [59] [55] [53] [57]
14: 
15: [60]
16: [61] [62]
17: [64] [63] [65]
18: [67] [66]
19: [72] [74] [68] [73]
20: 
21: [75] [76] [77]
22: [78]
23: [81] [80]
24: [79]
25: [85] [82] [86] [83] [84]
26: [87] [88]
27: [89] [90] [91]
28: 


== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
 +- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
 +- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}

== Analyzed Logical Plan ==

WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
 +- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
 +- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}

== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
 +- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
 +- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
 +- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}

== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- *(1) SerializeFromObject [input[0, int, false] AS value#14549]
 +- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, obj#14548: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
 +- *(1) Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
 +- *(1) Project [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529]
 +- *(1) MicroBatchScan[key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan

 

org.scalatest.exceptions.TestFailedException:
== Results ==
!== Correct Answer - 91 == == Spark Answer - 88 ==
struct<value:int> struct<value:int>
[10] [10]
[11] [11]
[12] [12]
[13] [13]
[14] [14]
[15] [15]
[16] [16]
[17] [17]
[18] [18]
[19] [19]
[1] [1]
[20] [20]
[21] [21]
[22] [22]
[23] [23]
[24] [24]
[25] [25]
[26] [26]
[27] [27]
[28] [28]
[29] [29]
[2] [2]
[30] [30]
[31] [31]
[32] [32]
[33] [33]
[34] [34]
[35] [35]
[36] [36]
[37] [37]
[38] [38]
[39] [39]
[3] [3]
[40] [40]
[41] [41]
[42] [42]
[43] [43]
[44] [44]
[45] [45]
[46] [46]
[47] [47]
[48] [48]
[49] [49]
[4] [4]
[50] [50]
[51] [51]
[52] [52]
[53] [53]
[54] [54]
[55] [55]
[56] [56]
[57] [57]
[58] [58]
[59] [59]
[5] [5]
[60] [60]
[61] [61]
[62] [62]
[63] [63]
[64] [64]
[65] [65]
[66] [66]
[67] [67]
[68] [68]
![69] [6]
![6] [72]
![70] [73]
![71] [74]
![72] [75]
![73] [76]
![74] [77]
![75] [78]
![76] [79]
![77] [7]
![78] [80]
![79] [81]
![7] [82]
![80] [83]
![81] [84]
![82] [85]
![83] [86]
![84] [87]
![85] [88]
![86] [89]
![87] [8]
![88] [90]
![89] [91]
![8] [9]
![90]
![91]
![9]
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 0 until 6, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6]
StopStream
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 6 until 9, message = )
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range 9 until 18, message = )
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = empty Range 18 until 18, message = Add partition)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4a40ef1,Map(),null)
AddKafkaData(topics = Set(stress1, stress3, stress4, stress5), data = Range 18 until 21, message = Delete topic stress2)
AddKafkaData(topics = Set(stress1, stress3, stress4, stress5), data = Range 21 until 25, message = )
AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 25 until 34, message = Delete topic stress3)
AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 34 until 40, message = Add partition)
AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = Range 40 until 42, message = Add topic stress7)
AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = empty Range 42 until 42, message = )
AddKafkaData(topics = Set(stress1, stress4, stress5, stress6), data = Range 42 until 51, message = )
AddKafkaData(topics = Set(stress1, stress4, stress5), data = Range 51 until 59, message = Delete topic stress6)
AddKafkaData(topics = Set(stress1, stress5), data = empty Range 59 until 59, message = Delete topic stress4)
AddKafkaData(topics = Set(stress1, stress5), data = Range 59 until 62, message = Delete topic stress1)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1b91c495,Map(),null)
AddKafkaData(topics = Set(stress1, stress5), data = Range 62 until 65, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65]
StopStream
AddKafkaData(topics = Set(stress1, stress5), data = Range 65 until 67, message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1a10e18d,Map(),null)
AddKafkaData(topics = Set(stress1, stress5), data = Range 67 until 74, message = Add partition)
AddKafkaData(topics = Set(stress1), data = Range 74 until 77, message = Delete topic stress5)
AddKafkaData(topics = Set(stress1), data = Range 77 until 81, message = Add partition)
AddKafkaData(topics = Set(stress1), data = Range 81 until 88, message = Delete topic stress1)
AddKafkaData(topics = Set(stress1), data = Range 88 until 91, message = Add partition)
AddKafkaData(topics = Set(stress1), data = empty Range 91 until 91, message = )
=> CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91]
AddKafkaData(topics = Set(stress1), data = Range 91 until 93, message = )
AddKafkaData(topics = Set(stress1), data = empty Range 93 until 93, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@3cda6991,Map(),null)
AddKafkaData(topics = Set(stress1), data = Range 93 until 94, message = Delete topic stress1)
AddKafkaData(topics = Set(stress1), data = Range 94 until 103, message = )
AddKafkaData(topics = Set(stress1), data = Range 103 until 106, message = Add partition)
AddKafkaData(topics = Set(stress1), data = empty Range 106 until 106, message = Delete topic stress1)
AddKafkaData(topics = Set(stress1), data = Range 106 until 107, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107]
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107]
StopStream
AddKafkaData(topics = Set(stress1), data = Range 107 until 115, message = Add partition)
AddKafkaData(topics = Set(stress1, stress8), data = Range 115 until 121, message = Add topic stress9)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@12b8f4c9,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121]
AddKafkaData(topics = Set(stress1, stress8), data = empty Range 121 until 121, message = Add partition)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121]
AddKafkaData(topics = Set(stress1, stress8), data = Range 121 until 130, message = Add partition)
AddKafkaData(topics = Set(stress1, stress8), data = Range 130 until 134, message = )
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129],[130],[131],[132],[133],[134]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@25e331ff,Map(),null)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42],[43],[44],[45],[46],[47],[48],[49],[50],[51],[52],[53],[54],[55],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[67],[68],[69],[70],[71],[72],[73],[74],[75],[76],[77],[78],[79],[80],[81],[82],[83],[84],[85],[86],[87],[88],[89],[90],[91],[92],[93],[94],[95],[96],[97],[98],[99],[100],[101],[102],[103],[104],[105],[106],[107],[108],[109],[110],[111],[112],[113],[114],[115],[116],[117],[118],[119],[120],[121],[122],[123],[124],[125],[126],[127],[128],[129],[130],[131],[132],[133],[134]
== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}}
Thread state: alive
Thread stack trace: java.base@11.0.1/java.lang.Thread.sleep(Native Method)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:230)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$2342/0x0000000800f27840.apply$mcZ$sp(Unknown Source)
app//org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
app//org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:175)
app//org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
app//org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
== Sink ==
0:
1: [3] [2] [1]
2: [6] [5] [4]
3: [13] [7] [10] [16] [15] [11] [17] [14] [9] [8] [12] [18]
4: [20] [19] [21]
5: [23] [22] [24] [25]
6: [29] [27] [34] [31] [30] [32] [28] [26] [33]
7:
8: [40] [35] [38] [36] [39] [37]
9: [42] [41]
10:
11: [43] [44] [45]
12: [46] [47] [48] [49] [50] [51]
13: [54] [58] [52] [56] [59] [55] [53] [57]
14:
15: [60]
16: [61] [62]
17: [64] [63] [65]
18: [67] [66]
19: [72] [74] [68] [73]
20:
21: [75] [76] [77]
22: [78]
23: [81] [80]
24: [79]
25: [85] [82] [86] [83] [84]
26: [87] [88]
27: [89] [90] [91]
28:
== Plan ==
== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
+- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
+- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
+- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
+- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- SerializeFromObject [input[0, int, false] AS value#14549]
+- MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#14548: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
+- Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
+- StreamingDataSourceV2Relation [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan@51b4bdab, KafkaV2[SubscribePattern[stress.*]], {"stress1":{"8":1,"11":1,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"9":1,"3":0,"12":2,"15":1,"6":1,"0":4}}, {"stress1":{"17":0,"8":1,"11":1,"20":0,"2":4,"5":1,"14":2,"13":2,"4":1,"16":0,"7":2,"1":4,"10":1,"19":0,"18":0,"9":1,"21":0,"3":0,"12":2,"15":1,"6":1,"0":4}}
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@328e0064
+- *(1) SerializeFromObject [input[0, int, false] AS value#14549]
+- *(1) MapElements org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$Lambda$5915/0x0000000801b42040@cc8e995, obj#14548: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#14547: scala.Tuple2
+- *(1) Project [cast(key#14523 as string) AS key#14537, cast(value#14524 as string) AS value#14538]
+- *(1) Project [key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529]
+- *(1) MicroBatchScan[key#14523, value#14524, topic#14525, partition#14526, offset#14527L, timestamp#14528, timestampType#14529] class org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan
at org.scalatest.Assertions.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.Assertions.newAssertionFailedException$(Assertions.scala:527)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions.fail(Assertions.scala:1089)
at org.scalatest.Assertions.fail$(Assertions.scala:1085)
at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamTest.failTest$1(StreamTest.scala:444)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$53(StreamTest.scala:725)
at scala.Option.foreach(Option.scala:274)
at org.apache.spark.sql.streaming.StreamTest.executeAction$1(StreamTest.scala:725)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56(StreamTest.scala:770)
at org.apache.spark.sql.streaming.StreamTest.$anonfun$testStream$56$adapted(StreamTest.scala:757)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.sql.streaming.StreamTest.liftedTree1$1(StreamTest.scala:757)
at org.apache.spark.sql.streaming.StreamTest.testStream(StreamTest.scala:756)
at org.apache.spark.sql.streaming.StreamTest.testStream$(StreamTest.scala:326)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:50)
at org.apache.spark.sql.streaming.StreamTest.runStressTest(StreamTest.scala:868)
at org.apache.spark.sql.streaming.StreamTest.runStressTest$(StreamTest.scala:820)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runStressTest(KafkaMicroBatchSourceSuite.scala:50)
at org.apache.spark.sql.kafka010.KafkaSourceStressSuite.$anonfun$new$137(KafkaMicroBatchSourceSuite.scala:1652)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:149)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:56)
at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:221)
at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:214)
at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:56)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1147)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:56)
at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:56)
at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1257)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at org.scalatest.Suite.runNestedSuites(Suite.scala:1255)
at org.scalatest.Suite.runNestedSuites$(Suite.scala:1189)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30)
at org.scalatest.Suite.run(Suite.scala:1144)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1346)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1340)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1340)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1506)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.main(Runner.scala:827)
at org.scalatest.tools.Runner.main(Runner.scala)