/
MimaExcludes.scala
1802 lines (1670 loc) · 166 KB
/
MimaExcludes.scala
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
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import com.typesafe.tools.mima.core._
import com.typesafe.tools.mima.core.ProblemFilters._
/**
* Additional excludes for checking of Spark's binary compatibility.
*
* This acts as an official audit of cases where we excluded other classes. Please use the narrowest
* possible exclude here. MIMA will usually tell you what exclude to use, e.g.:
*
* ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.rdd.RDD.take")
*
* It is also possible to exclude Spark classes and packages. This should be used sparingly:
*
* MimaBuild.excludeSparkClass("graphx.util.collection.GraphXPrimitiveKeyOpenHashMap")
*
* For a new Spark version, please update MimaBuild.scala to reflect the previous version.
*/
object MimaExcludes {
// Exclude rules for 3.2.x
lazy val v32excludes = v31excludes ++ Seq(
// [SPARK-33808][SQL] DataSource V2: Build logical writes in the optimizer
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.connector.write.V1WriteBuilder"),
// [SPARK-33955] Add latest offsets to source progress
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SourceProgress.this"),
// [SPARK-34862][SQL] Support nested column in ORC vectorized reader
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getBoolean"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getByte"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getShort"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getInt"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getLong"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getFloat"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getDouble"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getDecimal"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getUTF8String"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getBinary"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getArray"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getMap"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.vectorized.ColumnVector.getChild"),
// [SPARK-35135][CORE] Turn WritablePartitionedIterator from trait into a default implementation class
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.util.collection.WritablePartitionedIterator"),
// [SPARK-35757][CORE] Add bitwise AND operation and functionality for intersecting bloom filters
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.util.sketch.BloomFilter.intersectInPlace"),
// [SPARK-35276][CORE] Calculate checksum for shuffle data and write as checksum file
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.io.LocalDiskShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.io.LocalDiskSingleSpillMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.api.SingleSpillShuffleMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.SingleSpillShuffleMapOutputWriter.transferMapSpillFile"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"),
// [SPARK-37391][SQL] JdbcConnectionProvider tells if it modifies security context
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.jdbc.JdbcConnectionProvider.modifiesSecurityContext"),
// [SPARK-41360][CORE] Avoid BlockManager re-registration if the executor has been lost
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockManagerMessages#RegisterBlockManager.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockManagerMessages#RegisterBlockManager.this"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.storage.BlockManagerMessages$RegisterBlockManager$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.BlockManagerMessages#RegisterBlockManager.apply")
)
// Exclude rules for 3.1.x
lazy val v31excludes = v30excludes ++ Seq(
// mima plugin update caused new incompatibilities to be detected
// core module
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.shuffle.sort.io.LocalDiskShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.shuffle.api.ShuffleMapOutputWriter.commitAllPartitions"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkEnv.environmentDetails"),
// mllib module
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.totalIterations"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.$init$"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.labels"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.truePositiveRateByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.falsePositiveRateByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.precisionByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.recallByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.accuracy"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedTruePositiveRate"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFalsePositiveRate"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedRecall"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedPrecision"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.roc"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.areaUnderROC"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.pr"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.fMeasureByThreshold"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.precisionByThreshold"),
ProblemFilters.exclude[NewMixinForwarderProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.recallByThreshold"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.FMClassifier.trainImpl"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.FMRegressor.trainImpl"),
// [SPARK-31077] Remove ChiSqSelector dependency on mllib.ChiSqSelectorModel
// private constructor
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel.this"),
// [SPARK-31127] Implement abstract Selector
// org.apache.spark.ml.feature.ChiSqSelectorModel type hierarchy change
// before: class ChiSqSelector extends Estimator with ChiSqSelectorParams
// after: class ChiSqSelector extends PSelector
// false positive, no binary incompatibility
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.ChiSqSelectorModel"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.ChiSqSelector"),
// [SPARK-24634] Add a new metric regarding number of inputs later than watermark plus allowed delay
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StateOperatorProgress.<init>$default$4"),
//[SPARK-31893] Add a generic ClassificationSummary trait
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionTrainingSummary.weightCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary.weightCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary.weightCol"),
// [SPARK-32879] Pass SparkSession.Builder options explicitly to SparkSession
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SparkSession.this")
)
// Exclude rules for 3.0.x
lazy val v30excludes = v24excludes ++ Seq(
// [SPARK-23429][CORE] Add executor memory metrics to heartbeat and expose in executors REST API
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.apply"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.this"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate$"),
// [SPARK-29306] Add support for Stage level scheduling for executors
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productElement"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productArity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.canEqual"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productIterator"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.productPrefix"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages#RetrieveSparkAppConfig.toString"),
// [SPARK-29399][core] Remove old ExecutorPlugin interface.
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ExecutorPlugin"),
// [SPARK-28980][SQL][CORE][MLLIB] Remove more old deprecated items in Spark 3
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.train"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.clustering.KMeans.train"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.classification.LogisticRegressionWithSGD$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.LogisticRegressionWithSGD.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.ChiSqSelectorModel.isSorted"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.RidgeRegressionWithSGD$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.RidgeRegressionWithSGD.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LassoWithSGD.this"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LassoWithSGD$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LinearRegressionWithSGD$"),
// [SPARK-28486][CORE][PYTHON] Map PythonBroadcast's data file to a BroadcastBlock to avoid delete by GC
ProblemFilters.exclude[InaccessibleMethodProblem]("java.lang.Object.finalize"),
// [SPARK-27366][CORE] Support GPU Resources in Spark job scheduling
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.resources"),
// [SPARK-29417][CORE] Resource Scheduling - add TaskContext.resource java api
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.resourcesJMap"),
// [SPARK-27410][MLLIB] Remove deprecated / no-op mllib.KMeans getRuns, setRuns
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.getRuns"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeans.setRuns"),
// [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.UnaryTransformer.this"),
// [SPARK-27090][CORE] Removing old LEGACY_DRIVER_IDENTIFIER ("<driver>")
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.LEGACY_DRIVER_IDENTIFIER"),
// [SPARK-25838] Remove formatVersion from Saveable
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.DistributedLDAModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.LocalLDAModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.KMeansModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.PowerIterationClusteringModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.GaussianMixtureModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.recommendation.MatrixFactorizationModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.ChiSqSelectorModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.Word2VecModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.SVMModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.LogisticRegressionModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.classification.NaiveBayesModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.util.Saveable.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.FPGrowthModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.PrefixSpanModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.IsotonicRegressionModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.RidgeRegressionModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LassoModel.formatVersion"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.regression.LinearRegressionModel.formatVersion"),
// [SPARK-26132] Remove support for Scala 2.11 in Spark 3.0.0
ProblemFilters.exclude[DirectAbstractMethodProblem]("scala.concurrent.Future.transformWith"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("scala.concurrent.Future.transform"),
// [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core.
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.deploy.security.HiveDelegationTokenProvider"),
// [SPARK-26329][CORE] Faster polling of executor memory metrics.
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.apply"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.copy$default$6"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerTaskEnd.this"),
// [SPARK-26311][CORE]New feature: apply custom log URL pattern for executor log URLs
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.apply"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart.this"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerApplicationStart$"),
// [SPARK-27630][CORE] Properly handle task end events from completed stages
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.apply"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted.this"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted$"),
// [SPARK-26632][Core] Separate Thread Configurations of Driver and Executor
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.SparkTransportConf.fromSparkConf"),
// [SPARK-16872][ML][PYSPARK] Impl Gaussian Naive Bayes Classifier
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.NaiveBayesModel.this"),
// [SPARK-25765][ML] Add training cost to BisectingKMeans summary
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel.this"),
// [SPARK-24243][CORE] Expose exceptions from InProcessAppHandle
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.launcher.SparkAppHandle.getError"),
// [SPARK-25867] Remove KMeans computeCost
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.KMeansModel.computeCost"),
// [SPARK-26127] Remove deprecated setters from tree regression and classification models
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.DecisionTreeClassificationModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setSubsamplingRate"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxIter"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setStepSize"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.setFeatureSubsetStrategy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setSubsamplingRate"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setFeatureSubsetStrategy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.RandomForestClassificationModel.setNumTrees"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.DecisionTreeRegressionModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setSubsamplingRate"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxIter"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setStepSize"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.setFeatureSubsetStrategy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setSeed"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMinInfoGain"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setSubsamplingRate"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setCacheNodeIds"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setCheckpointInterval"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxDepth"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setImpurity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxMemoryInMB"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setFeatureSubsetStrategy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMaxBins"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setMinInstancesPerNode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.RandomForestRegressionModel.setNumTrees"),
// [SPARK-26090] Resolve most miscellaneous deprecation and build warnings for Spark 3
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.stat.test.BinarySampleBeanInfo"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.regression.LabeledPointBeanInfo"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.LabeledPointBeanInfo"),
// [SPARK-28780][ML] Delete the incorrect setWeightCol method in LinearSVCModel
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.LinearSVCModel.setWeightCol"),
// [SPARK-29645][ML][PYSPARK] ML add param RelativeError
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.relativeError"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.getRelativeError"),
// [SPARK-28968][ML] Add HasNumFeatures in the scala side
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.FeatureHasher.getNumFeatures"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.FeatureHasher.numFeatures"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.HashingTF.getNumFeatures"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.HashingTF.numFeatures"),
// [SPARK-25908][CORE][SQL] Remove old deprecated items in Spark 3
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.BarrierTaskContext.isRunningLocally"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskContext.isRunningLocally"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleBytesWritten"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleWriteTime"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.executor.ShuffleWriteMetrics.shuffleRecordsWritten"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.AccumulableInfo.apply"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.fMeasure"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.recall"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.evaluation.MulticlassMetrics.precision"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.MLWriter.context"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.MLReader.context"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.util.GeneralMLWriter.context"),
// [SPARK-25737] Remove JavaSparkContextVarargsWorkaround
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.api.java.JavaSparkContext"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.union"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.streaming.api.java.JavaStreamingContext.union"),
// [SPARK-16775] Remove deprecated accumulator v1 APIs
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulable"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulator"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Accumulator$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulableParam"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$FloatAccumulatorParam$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$DoubleAccumulatorParam$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$LongAccumulatorParam$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.AccumulatorParam$IntAccumulatorParam$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulable"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulableCollection"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.accumulator"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.util.LegacyAccumulatorWrapper"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.intAccumulator"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.accumulable"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.doubleAccumulator"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.api.java.JavaSparkContext.accumulator"),
// [SPARK-24109] Remove class SnappyOutputStreamWrapper
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.io.SnappyCompressionCodec.version"),
// [SPARK-19287] JavaPairRDD flatMapValues requires function returning Iterable, not Iterator
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.api.java.JavaPairRDD.flatMapValues"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.streaming.api.java.JavaPairDStream.flatMapValues"),
// [SPARK-25680] SQL execution listener shouldn't happen on execution thread
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.util.ExecutionListenerManager.clone"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.util.ExecutionListenerManager.this"),
// [SPARK-25862][SQL] Remove rangeBetween APIs introduced in SPARK-21608
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.unboundedFollowing"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.unboundedPreceding"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.functions.currentRow"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.expressions.Window.rangeBetween"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.expressions.WindowSpec.rangeBetween"),
// [SPARK-23781][CORE] Merge token renewer functionality into HadoopDelegationTokenManager
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.nextCredentialRenewalTime"),
// [SPARK-26133][ML] Remove deprecated OneHotEncoder and rename OneHotEncoderEstimator to OneHotEncoder
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.OneHotEncoderEstimator"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.feature.OneHotEncoder"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.OneHotEncoder.transform"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.feature.OneHotEncoderEstimator$"),
// [SPARK-30329][ML] add iterator/foreach methods for Vectors
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Vector.activeIterator"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.activeIterator"),
// [SPARK-26141] Enable custom metrics implementation in shuffle write
// Following are Java private classes
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.shuffle.sort.UnsafeShuffleWriter.this"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.TimeTrackingOutputStream.this"),
// [SPARK-26139] Implement shuffle write metrics in SQL
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ShuffleDependency.this"),
// [SPARK-26362][CORE] Remove 'spark.driver.allowMultipleContexts' to disallow multiple creation of SparkContexts
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.setActiveContext"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.markPartiallyConstructed"),
// [SPARK-26457] Show hadoop configurations in HistoryServer environment tab
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ApplicationEnvironmentInfo.this"),
// [SPARK-30144][ML] Make MultilayerPerceptronClassificationModel extend MultilayerPerceptronParams
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.layers"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.this"),
// [SPARK-30630][ML] Remove numTrees in GBT
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.GBTClassificationModel.numTrees"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.regression.GBTRegressionModel.numTrees"),
// Data Source V2 API changes
(problem: Problem) => problem match {
case MissingClassProblem(cls) =>
!cls.fullName.startsWith("org.apache.spark.sql.sources.v2")
case _ => true
},
// [SPARK-27521][SQL] Move data source v2 to catalyst module
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarBatch"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ArrowColumnVector"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarRow"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarArray"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnarMap"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.vectorized.ColumnVector"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThanOrEqual"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringEndsWith"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThanOrEqual$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.In$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Not"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNotNull"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThan"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThanOrEqual"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualNullSafe$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThan$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.In"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.And"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringStartsWith$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualNullSafe"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringEndsWith$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThanOrEqual$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Not$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNull$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.LessThan$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNotNull$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Or"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualTo$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.GreaterThan"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringContains"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Filter"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.IsNull"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.EqualTo"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.And$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.Or$"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringStartsWith"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.StringContains$"),
// [SPARK-26216][SQL] Do not use case class as public API (UserDefinedFunction)
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.expressions.UserDefinedFunction$"),
ProblemFilters.exclude[AbstractClassProblem]("org.apache.spark.sql.expressions.UserDefinedFunction"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.inputTypes"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullableTypes_="),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.dataType"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.f"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.this"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNonNullable"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNonNullable"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullable"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.nullable"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNondeterministic"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.asNondeterministic"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.deterministic"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.deterministic"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.apply"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.apply"),
ProblemFilters.exclude[DirectAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.withName"),
ProblemFilters.exclude[ReversedAbstractMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.withName"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productElement"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productArity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$2"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.canEqual"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$1"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productIterator"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.productPrefix"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.expressions.UserDefinedFunction.copy$default$3"),
// [SPARK-11215][ML] Add multiple columns support to StringIndexer
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.StringIndexer.validateAndTransformSchema"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.feature.StringIndexerModel.validateAndTransformSchema"),
// [SPARK-26616][MLlib] Expose document frequency in IDFModel
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.feature.IDFModel.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.feature.IDF#DocumentFrequencyAggregator.idf"),
// [SPARK-28199][SS] Remove deprecated ProcessingTime
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.ProcessingTime"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.ProcessingTime$"),
// [SPARK-25382][SQL][PYSPARK] Remove ImageSchema.readImages in 3.0
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.image.ImageSchema.readImages"),
// [SPARK-25341][CORE] Support rolling back a shuffle map stage and re-generate the shuffle files
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.shuffle.sort.UnsafeShuffleWriter.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.copy$default$2"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.copy"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.copy$default$2"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.copy"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleBlockId.copy$default$2"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.copy"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.this"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.apply"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.apply"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.ShuffleBlockId.apply"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleIndexBlockId.mapId"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleDataBlockId.mapId"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.storage.ShuffleBlockId.mapId"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.mapId"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.FetchFailed$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.apply"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.copy$default$5"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.copy"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.FetchFailed.copy$default$3"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.FetchFailed.this"),
// [SPARK-28957][SQL] Copy any "spark.hive.foo=bar" spark properties into hadoop conf as "hive.foo=bar"
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.appendS3AndSparkHadoopConfigurations"),
// [SPARK-29348] Add observable metrics.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryProgress.this"),
// [SPARK-30377][ML] Make AFTSurvivalRegression extend Regressor
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.fit"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.setFeaturesCol"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegressionModel.setPredictionCol"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setFeaturesCol"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setLabelCol"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.regression.AFTSurvivalRegression.setPredictionCol"),
// [SPARK-29543][SS][UI] Init structured streaming ui
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStartedEvent.this"),
// [SPARK-30667][CORE] Add allGather method to BarrierTaskContext
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.RequestToSync")
)
// Exclude rules for 2.4.x
lazy val v24excludes = v23excludes ++ Seq(
// [SPARK-25248] add package private methods to TaskContext
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markTaskFailed"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markInterrupted"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.fetchFailed"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.markTaskCompleted"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.getLocalProperties"),
// [SPARK-10697][ML] Add lift to Association rules
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.fpm.FPGrowthModel.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.fpm.AssociationRules#Rule.this"),
// [SPARK-24296][CORE] Replicate large blocks as a stream.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockRpcServer.this"),
// [SPARK-23528] Add numIter to ClusteringSummary
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.ClusteringSummary.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.KMeansSummary.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.BisectingKMeansSummary.this"),
// [SPARK-6237][NETWORK] Network-layer changes to allow stream upload
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.network.netty.NettyBlockRpcServer.receive"),
// [SPARK-20087][CORE] Attach accumulators / metrics to 'TaskKilled' end reason
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.apply"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.this"),
// [SPARK-22941][core] Do not exit JVM when submit fails with in-process launcher.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.printWarning"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.parseSparkConfProperty"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.printVersionAndExit"),
// [SPARK-23412][ML] Add cosine distance measure to BisectingKmeans
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.org$apache$spark$ml$param$shared$HasDistanceMeasure$_setter_$distanceMeasure_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.getDistanceMeasure"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasDistanceMeasure.distanceMeasure"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.mllib.clustering.BisectingKMeansModel#SaveLoadV1_0.load"),
// [SPARK-20659] Remove StorageStatus, or make it private
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.totalOffHeapStorageMemory"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.usedOffHeapStorageMemory"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.usedOnHeapStorageMemory"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.SparkExecutorInfo.totalOnHeapStorageMemory"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkContext.getExecutorStorageStatus"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numBlocks"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numRddBlocks"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.containsBlock"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.rddBlocksById"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.numRddBlocksById"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.memUsedByRdd"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.cacheSize"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.rddStorageLevel"),
// [SPARK-23455][ML] Default Params in ML should be saved separately in metadata
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.paramMap"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.org$apache$spark$ml$param$Params$_setter_$paramMap_="),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.defaultParamMap"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.param.Params.org$apache$spark$ml$param$Params$_setter_$defaultParamMap_="),
// [SPARK-7132][ML] Add fit with validation set to spark.ml GBT
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.getValidationIndicatorCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.org$apache$spark$ml$param$shared$HasValidationIndicatorCol$_setter_$validationIndicatorCol_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasValidationIndicatorCol.validationIndicatorCol"),
// [SPARK-23042] Use OneHotEncoderModel to encode labels in MultilayerPerceptronClassifier
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ml.classification.LabelConverter"),
// [SPARK-21842][MESOS] Support Kerberos ticket renewal and creation in Mesos
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getDateOfNextUpdate"),
// [SPARK-23366] Improve hot reading path in ReadAheadInputStream
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.io.ReadAheadInputStream.this"),
// [SPARK-22941][CORE] Do not exit JVM when submit fails with in-process launcher.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.addJarToClasspath"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.mergeFileLists"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment$default$2"),
// Data Source V2 API changes
// TODO: they are unstable APIs and should not be tracked by mima.
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.ReadSupportWithSchema"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.createDataReaderFactories"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.createBatchDataReaderFactories"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanColumnarBatch.planBatchInputPartitions"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.SupportsScanUnsafeRow"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.DataSourceReader.createDataReaderFactories"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.DataSourceReader.planInputPartitions"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.SupportsPushDownCatalystFilters"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.DataReader"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsReportStatistics.getStatistics"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.reader.SupportsReportStatistics.estimateStatistics"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.DataReaderFactory"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.reader.streaming.ContinuousDataReader"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.sources.v2.writer.SupportsWriteInternalRow"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.sources.v2.writer.DataWriterFactory.createDataWriter"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.v2.writer.DataWriterFactory.createDataWriter"),
// Changes to HasRawPredictionCol.
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.rawPredictionCol"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.org$apache$spark$ml$param$shared$HasRawPredictionCol$_setter_$rawPredictionCol_="),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasRawPredictionCol.getRawPredictionCol"),
// [SPARK-15526][ML][FOLLOWUP] Make JPMML provided scope to avoid including unshaded JARs
(problem: Problem) => problem match {
case MissingClassProblem(cls) =>
!cls.fullName.startsWith("org.sparkproject.jpmml") &&
!cls.fullName.startsWith("org.sparkproject.dmg.pmml") &&
!cls.fullName.startsWith("org.spark_project.jpmml") &&
!cls.fullName.startsWith("org.spark_project.dmg.pmml")
case _ => true
}
)
// Exclude rules for 2.3.x
lazy val v23excludes = v22excludes ++ Seq(
// [SPARK-22897] Expose stageAttemptId in TaskContext
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.stageAttemptNumber"),
// SPARK-22789: Map-only continuous processing execution
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$8"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$6"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.startQuery$default$9"),
// SPARK-22372: Make cluster submission use SparkApplication.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getSecretKeyFromUserCredentials"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.isYarnMode"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getCurrentUserCredentials"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.addSecretKeyToUserCredentials"),
// SPARK-18085: Better History Server scalability for many / large applications
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.status.api.v1.ExecutorSummary.executorLogs"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.history.HistoryServer.getSparkUI"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.env.EnvironmentListener"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.exec.ExecutorsListener"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.storage.StorageListener"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.storage.StorageStatusListener"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ExecutorStageSummary.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.JobData.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkStatusTracker.this"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.ui.jobs.JobProgressListener"),
// [SPARK-20495][SQL] Add StorageLevel to cacheTable API
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.cacheTable"),
// [SPARK-19937] Add remote bytes read to disk.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ShuffleReadMetrics.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ShuffleReadMetricDistributions.this"),
// [SPARK-21276] Update lz4-java to the latest (v1.4.0)
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.io.LZ4BlockInputStream"),
// [SPARK-17139] Add model summary for MultinomialLogisticRegression
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.ml.classification.BinaryLogisticRegressionSummary"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictionCol"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.labels"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.truePositiveRateByLabel"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.falsePositiveRateByLabel"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.precisionByLabel"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.recallByLabel"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.fMeasureByLabel"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.accuracy"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedTruePositiveRate"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFalsePositiveRate"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedRecall"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedPrecision"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.weightedFMeasure"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.asBinary"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$LogisticRegressionSummary$$multiclassMetrics"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.org$apache$spark$ml$classification$LogisticRegressionSummary$_setter_$org$apache$spark$ml$classification$LogisticRegressionSummary$$multiclassMetrics_="),
// [SPARK-14280] Support Scala 2.12
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.FutureAction.transformWith"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.FutureAction.transform"),
// [SPARK-21087] CrossValidator, TrainValidationSplit expose sub models after fitting: Scala
ProblemFilters.exclude[FinalClassProblem]("org.apache.spark.ml.tuning.CrossValidatorModel$CrossValidatorModelWriter"),
ProblemFilters.exclude[FinalClassProblem]("org.apache.spark.ml.tuning.TrainValidationSplitModel$TrainValidationSplitModelWriter"),
// [SPARK-21728][CORE] Allow SparkSubmit to use Logging
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.downloadFileList"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.downloadFile"),
// [SPARK-21714][CORE][YARN] Avoiding re-uploading remote resources in yarn client mode
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment"),
// [SPARK-22324][SQL][PYTHON] Upgrade Arrow to 0.8.0
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.network.util.AbstractFileRegion.transfered"),
// [SPARK-20643][CORE] Add listener implementation to collect app state
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$5"),
// [SPARK-20648][CORE] Port JobsTab and StageTab to the new UI backend
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$12"),
// [SPARK-21462][SS] Added batchId to StreamingQueryProgress.json
// [SPARK-21409][SS] Expose state store memory usage in SQL metrics and progress updates
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StateOperatorProgress.this"),
// [SPARK-22278][SS] Expose current event time watermark and current processing time in GroupState
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.GroupState.getCurrentWatermarkMs"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.GroupState.getCurrentProcessingTimeMs"),
// [SPARK-20542][ML][SQL] Add an API to Bucketizer that can bin multiple columns
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasOutputCols.org$apache$spark$ml$param$shared$HasOutputCols$_setter_$outputCols_="),
// [SPARK-18619][ML] Make QuantileDiscretizer/Bucketizer/StringIndexer/RFormula inherit from HasHandleInvalid
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.Bucketizer.getHandleInvalid"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.StringIndexer.getHandleInvalid"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.QuantileDiscretizer.getHandleInvalid"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.feature.StringIndexerModel.getHandleInvalid")
)
// Exclude rules for 2.2.x
lazy val v22excludes = v21excludes ++ Seq(
// [SPARK-20355] Add per application spark version on the history server headerpage
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.ApplicationAttemptInfo.this"),
// [SPARK-19652][UI] Do auth checks for REST API access.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.history.HistoryServer.withSparkUI"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.status.api.v1.UIRootFromServletContext"),
// [SPARK-18663][SQL] Simplify CountMinSketch aggregate implementation
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.util.sketch.CountMinSketch.toByteArray"),
// [SPARK-18949] [SQL] Add repairTable API to Catalog
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.recoverPartitions"),
// [SPARK-18537] Add a REST api to spark streaming
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.streaming.scheduler.StreamingListener.onStreamingStarted"),
// [SPARK-19148][SQL] do not expose the external table concept in Catalog
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.createTable"),
// [SPARK-14272][ML] Add logLikelihood in GaussianMixtureSummary
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.clustering.GaussianMixtureSummary.this"),
// [SPARK-19267] Fetch Failure handling robust to user error handling
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.setFetchFailed"),
// [SPARK-19069] [CORE] Expose task 'status' and 'duration' in spark history server REST API.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$10"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.TaskData.<init>$default$11"),
// [SPARK-17161] Removing Python-friendly constructors not needed
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.ml.classification.OneVsRestModel.this"),
// [SPARK-19820] Allow reason to be specified to task kill
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.TaskKilled$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productElement"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productArity"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.canEqual"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productIterator"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.countTowardsTaskFailures"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.productPrefix"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.TaskKilled.toErrorString"),
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.TaskKilled.toString"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.killTaskIfInterrupted"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.TaskContext.getKillReason"),
// [SPARK-19876] Add one time trigger, and improve Trigger APIs
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.sql.streaming.Trigger"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.sql.streaming.ProcessingTime"),
// [SPARK-17471][ML] Add compressed method to ML matrices
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressed"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressedColMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.compressedRowMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.isRowMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.isColMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getSparseSizeInBytes"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDense"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparse"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseRowMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseRowMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseColMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getDenseSizeInBytes"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseColMajor"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toDenseMatrix"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.toSparseMatrix"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.ml.linalg.Matrix.getSizeInBytes"),
// [SPARK-18693] Added weightSum to trait MultivariateStatisticalSummary
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.stat.MultivariateStatisticalSummary.weightSum")
) ++ Seq(
// [SPARK-17019] Expose on-heap and off-heap memory usage in various places
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.copy"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.this"),
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded$"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.scheduler.SparkListenerBlockManagerAdded.apply"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.storage.StorageStatus.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.storage.StorageStatus.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.status.api.v1.RDDDataDistribution.this")
)
// Exclude rules for 2.1.x
lazy val v21excludes = v20excludes ++ {
Seq(
// [SPARK-17671] Spark 2.0 history server summary page is slow even set spark.history.ui.maxApplications
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.deploy.history.HistoryServer.getApplicationList"),
// [SPARK-14743] Improve delegation token handling in secure cluster
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.deploy.SparkHadoopUtil.getTimeFromNowToRenewal"),
// [SPARK-16199][SQL] Add a method to list the referenced columns in data source Filter
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.sources.Filter.references"),
// [SPARK-16853][SQL] Fixes encoder error in DataSet typed select
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.Dataset.select"),
// [SPARK-16967] Move Mesos to Module
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.SparkMasterRegex.MESOS_REGEX"),
// [SPARK-16240] ML persistence backward compatibility for LDA
ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.ml.clustering.LDA$"),
// [SPARK-17717] Add Find and Exists method to Catalog.
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getDatabase"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getTable"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.getFunction"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.databaseExists"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.tableExists"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.functionExists"),
// [SPARK-17731][SQL][Streaming] Metrics for structured streaming
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SourceStatus.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.SourceStatus.offsetDesc"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.status"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.SinkStatus.this"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryInfo"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStarted.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryStarted.queryInfo"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryProgress.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryProgress.queryInfo"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener#QueryTerminated.queryInfo"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryStarted"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryProgress"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryListener$QueryTerminated"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryStarted"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryStarted"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryProgress"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryProgress"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryTerminated"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryListener.onQueryTerminated"),
// [SPARK-18516][SQL] Split state and progress in streaming
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.SourceStatus"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.SinkStatus"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.sinkStatus"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.sourceStatuses"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQuery.id"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.lastProgress"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.recentProgress"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.id"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryManager.get"),
// [SPARK-17338][SQL] add global temp view
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.dropGlobalTempView"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.catalog.Catalog.dropTempView"),
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.catalog.Catalog.dropTempView"),
// [SPARK-18034] Upgrade to MiMa 0.1.11 to fix flakiness.
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.aggregationDepth"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.getAggregationDepth"),
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasAggregationDepth.org$apache$spark$ml$param$shared$HasAggregationDepth$_setter_$aggregationDepth_="),
// [SPARK-18236] Reduce duplicate objects in Spark UI and HistoryServer
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.scheduler.TaskInfo.accumulables"),
// [SPARK-18657] Add StreamingQuery.runId
ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQuery.runId"),
// [SPARK-18694] Add StreamingQuery.explain and exception to Python and fix StreamingQueryException
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.streaming.StreamingQueryException$"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.startOffset"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.endOffset"),
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.sql.streaming.StreamingQueryException.this"),
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.streaming.StreamingQueryException.query")
)
}
// Exclude rules for 2.0.x
lazy val v20excludes = {
Seq(
ProblemFilters.exclude[Problem]("org.apache.spark.rpc.*"),
ProblemFilters.exclude[Problem]("org.spark-project.jetty.*"),
ProblemFilters.exclude[Problem]("org.spark_project.jetty.*"),
ProblemFilters.exclude[Problem]("org.sparkproject.jetty.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.internal.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.unused.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.unsafe.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.memory.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.util.collection.unsafe.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.sql.catalyst.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.sql.execution.*"),
ProblemFilters.exclude[Problem]("org.apache.spark.sql.internal.*"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.feature.PCAModel.this"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.status.api.v1.StageData.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.status.api.v1.ApplicationAttemptInfo.this"),
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.status.api.v1.ApplicationAttemptInfo.<init>$default$5"),
// SPARK-14042 Add custom coalescer support
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.rdd.RDD.coalesce"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.rdd.PartitionCoalescer$LocationIterator"),
ProblemFilters.exclude[IncompatibleTemplateDefProblem]("org.apache.spark.rdd.PartitionCoalescer"),
// SPARK-15532 Remove isRootContext flag from SQLContext.
ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.sql.SQLContext.isRootContext"),
// SPARK-12600 Remove SQL deprecated methods
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLContext$QueryExecution"),
ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.sql.SQLContext$SparkPlanner"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.SQLContext.applySchema"),