Error adding data: Replication factor: 1 larger than available brokers: 0.



== Progress ==
 AssertOnQuery(<condition>, )
 CheckAnswer: 
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range(0), message = Add partition)
 AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range(1, 2, 3, 4, 5, 6, 7, 8), message = Delete topic stress1)
 AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(), message = Delete topic stress5)
 CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9]
 StopStream
 AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(9, 10, 11, 12, 13), message = Add partition)
 AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(14, 15, 16, 17, 18, 19), message = )
 AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(20, 21), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4491310a,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]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(22, 23, 24, 25, 26), message = Add topic stress7)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(27, 28, 29), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6fc93f78,Map(),null)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(), message = )
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(30, 31, 32, 33, 34, 35, 36), 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]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@ac284a8,Map(),null)
=> AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3), data = Range(37, 38, 39, 40), message = Add topic stress9)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(41, 42, 43, 44, 45, 46, 47, 48), message = Add topic stress11)
 AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(49, 50, 51, 52, 53, 54, 55, 56, 57), message = )
 AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(58), message = Add topic stress13)
 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]
 StopStream
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1ebb81df,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]
 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]
 StopStream
 AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(59, 60, 61, 62, 63), message = )
 AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(64, 65, 66, 67, 68, 69), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@22d7f9f1,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]
 StopStream
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(70, 71, 72, 73, 74, 75, 76, 77), message = Add topic stress15)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7378d001,Map(),null)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(78, 79, 80, 81, 82, 83, 84, 85), message = Delete topic stress12)
 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]
 StopStream
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(86), message = )
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(87, 88, 89, 90), message = Add partition)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7c668fec,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]
 StopStream
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(91, 92, 93, 94, 95), message = Add partition)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(96, 97, 98), message = )
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@3e914cc6,Map(),null)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(99), message = Add partition)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(100), 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]
 StopStream
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(101, 102, 103, 104), message = Add topic stress17)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(105, 106), message = Add partition)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(107, 108, 109, 110), message = Add partition)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(111, 112, 113, 114, 115, 116, 117, 118, 119), message = Add topic stress19)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(120, 121), message = Add partition)
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(122, 123, 124), message = )
 AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(), message = Add partition)
 StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@23942294,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]

== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress1":{"8":0,"11":0,"2":2,"5":2,"14":1,"13":1,"4":1,"7":1,"1":2,"10":1,"9":0,"3":1,"12":0,"15":0,"6":0,"0":1},"stress4":{"2":1,"5":1,"4":1,"1":2,"3":3,"6":1,"0":1},"stress3":{"8":2,"2":4,"5":1,"4":1,"7":1,"1":5,"3":1,"6":0,"0":8},"stress6":{"1":0,"0":0},"stress2":{"8":1,"2":1,"5":1,"4":1,"7":1,"1":1,"3":0,"6":0,"0":5}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:212)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:157)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:280)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:190)


== Sink ==
0: 
1: 
2: 
3: 
4: [1]
5: [2]
6: [4] [3]
7: [6] [5]
8: [7] [9] [8]
9: 
10: [17] [20] [18] [15] [14] [13] [21] [12] [10] [22] [19] [16] [11]
11: [26] [30] [23] [28] [24] [29] [25] [27]
12: [31]
13: [33] [32]
14: [35] [37] [34] [36]


== Plan ==
null
 

org.scalatest.exceptions.TestFailedException:
Error adding data: Replication factor: 1 larger than available brokers: 0.
== Progress ==
AssertOnQuery(<condition>, )
CheckAnswer:
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range(0), message = Add partition)
AddKafkaData(topics = Set(stress4, stress2, stress1, stress5, stress3), data = Range(1, 2, 3, 4, 5, 6, 7, 8), message = Delete topic stress1)
AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(), message = Delete topic stress5)
CheckAnswer: [1],[2],[3],[4],[5],[6],[7],[8],[9]
StopStream
AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(9, 10, 11, 12, 13), message = Add partition)
AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(14, 15, 16, 17, 18, 19), message = )
AddKafkaData(topics = Set(stress1, stress2, stress3, stress4), data = Range(20, 21), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@4491310a,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]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(22, 23, 24, 25, 26), message = Add topic stress7)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(27, 28, 29), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@6fc93f78,Map(),null)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(), message = )
AddKafkaData(topics = Set(stress4, stress6, stress2, stress1, stress3), data = Range(30, 31, 32, 33, 34, 35, 36), 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]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@ac284a8,Map(),null)
=> AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3), data = Range(37, 38, 39, 40), message = Add topic stress9)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(41, 42, 43, 44, 45, 46, 47, 48), message = Add topic stress11)
AddKafkaData(topics = Set(stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(49, 50, 51, 52, 53, 54, 55, 56, 57), message = )
AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(58), message = Add topic stress13)
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]
StopStream
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@1ebb81df,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]
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]
StopStream
AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(59, 60, 61, 62, 63), message = )
AddKafkaData(topics = Set(stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(64, 65, 66, 67, 68, 69), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@22d7f9f1,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]
StopStream
AddKafkaData(topics = Set(stress14, stress4, stress6, stress12, stress2, stress8, stress1, stress3, stress10), data = Range(70, 71, 72, 73, 74, 75, 76, 77), message = Add topic stress15)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7378d001,Map(),null)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(78, 79, 80, 81, 82, 83, 84, 85), message = Delete topic stress12)
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]
StopStream
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(86), message = )
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(87, 88, 89, 90), message = Add partition)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@7c668fec,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]
StopStream
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(91, 92, 93, 94, 95), message = Add partition)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(96, 97, 98), message = )
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@3e914cc6,Map(),null)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(99), message = Add partition)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10), data = Range(100), 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]
StopStream
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(101, 102, 103, 104), message = Add topic stress17)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(105, 106), message = Add partition)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress3, stress10, stress16), data = Range(107, 108, 109, 110), message = Add partition)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(111, 112, 113, 114, 115, 116, 117, 118, 119), message = Add topic stress19)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(120, 121), message = Add partition)
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(122, 123, 124), message = )
AddKafkaData(topics = Set(stress14, stress4, stress6, stress2, stress8, stress1, stress18, stress3, stress10, stress16), data = Range(), message = Add partition)
StartStream(ProcessingTime(0),org.apache.spark.util.SystemClock@23942294,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]
== Stream ==
Output Mode: Append
Stream state: {KafkaV2[SubscribePattern[stress.*]]: {"stress1":{"8":0,"11":0,"2":2,"5":2,"14":1,"13":1,"4":1,"7":1,"1":2,"10":1,"9":0,"3":1,"12":0,"15":0,"6":0,"0":1},"stress4":{"2":1,"5":1,"4":1,"1":2,"3":3,"6":1,"0":1},"stress3":{"8":2,"2":4,"5":1,"4":1,"7":1,"1":5,"3":1,"6":0,"0":8},"stress6":{"1":0,"0":0},"stress2":{"8":1,"2":1,"5":1,"4":1,"7":1,"1":1,"3":0,"6":0,"0":5}}}
Thread state: alive
Thread stack trace: java.lang.Thread.sleep(Native Method)
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:212)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:157)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:280)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:190)
== Sink ==
0:
1:
2:
3:
4: [1]
5: [2]
6: [4] [3]
7: [6] [5]
8: [7] [9] [8]
9:
10: [17] [20] [18] [15] [14] [13] [21] [12] [10] [22] [19] [16] [11]
11: [26] [30] [23] [28] [24] [29] [25] [27]
12: [31]
13: [33] [32]
14: [35] [37] [34] [36]
== Plan ==
null
at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions$class.fail(Assertions.scala:1089)
at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamTest$class.failTest$1(StreamTest.scala:453)
at org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:719)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:773)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:760)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:760)
at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:759)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.streaming.StreamTest$class.runStressTest(StreamTest.scala:871)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runStressTest(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$anonfun$21.apply$mcV$sp(KafkaMicroBatchSourceSuite.scala:1444)
at org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$anonfun$21.apply(KafkaMicroBatchSourceSuite.scala:1423)
at org.apache.spark.sql.kafka010.KafkaSourceStressSuite$$anonfun$21.apply(KafkaMicroBatchSourceSuite.scala:1423)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
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$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$super$runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite$class.run(Suite.scala:1147)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:52)
at org.scalatest.Suite$class.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1257)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1255)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at org.scalatest.Suite$class.runNestedSuites(Suite.scala:1255)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30)
at org.scalatest.Suite$class.run(Suite.scala:1144)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1340)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1334)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1011)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
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)