generated from bingrao/python-project-template
-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathcase_example.log
5969 lines (4457 loc) · 545 KB
/
case_example.log
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
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: parties.join(party_services, parties("party_id") === party_services("customer_id"), inner).groupBy(parties("party_email"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: parties.join(party_services, parties("party_id") === party_services("customer_id"), inner).groupBy(parties("party_email"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> parties,t2 -> party_services
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN party_services AS t2 ON t1.party_id = t2.customer_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.party_email
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: parties.join(party_services, parties("party_id") === party_services("customer_id"), inner).groupBy(parties("party_email"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: parties.join(party_services, parties("party_id") === party_services("customer_id"), inner).groupBy(parties("party_email"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] addresses -> addresses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] state_province_county
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: addresses.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: addresses.filter(Unsupport like operation in where statement)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] addresses -> addresses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] state_province_county
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%" [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: addresses.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: addresses.filter(Unsupport like operation in where statement)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> organizations,t2 -> organization_contact_individuals
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.organization_name
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: organizations.join(organization_contact_individuals, organizations("organization_id") === organization_contact_individuals("organization_id"), inner).groupBy(organizations("organization_name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: organizations.join(organization_contact_individuals, organizations("organization_id") === organization_contact_individuals("organization_id"), inner).groupBy(organizations("organization_name"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> organizations,t2 -> organization_contact_individuals
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.organization_name
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: organizations.join(organization_contact_individuals, organizations("organization_id") === organization_contact_individuals("organization_id"), inner).groupBy(organizations("organization_name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: organizations.join(organization_contact_individuals, organizations("organization_id") === organization_contact_individuals("organization_id"), inner).groupBy(organizations("organization_name"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> individuals,t2 -> organization_contact_individuals
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.individual_last_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: individuals.join(organization_contact_individuals, individuals("individual_id") === organization_contact_individuals("individual_id"), inner).select(individuals("individual_last_name")).distinct
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> individuals,t2 -> organization_contact_individuals
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.individual_last_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: individuals.join(organization_contact_individuals, individuals("individual_id") === organization_contact_individuals("individual_id"), inner).select(individuals("individual_last_name")).distinct
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT name , home_city , age FROM driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] name,home_city,age
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.select(col("name"),col("home_city"),col("age"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT party , count(*) FROM driver GROUP BY party
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] party,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT party , count(*) FROM driver GROUP BY party [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: driver.groupBy(col("party"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.groupBy(col("party"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT name FROM driver ORDER BY age DESC
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.select(col("name")).orderBy(desc("age"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT DISTINCT home_city FROM driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] home_city
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.select(col("home_city")).distinct
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] home_city
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: driver.groupBy(col("home_city"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.groupBy(col("home_city"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT party FROM driver WHERE home_city = 'Hartford' AND age > 40
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] party
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.filter(col("home_city") === 'Hartford' && col("age") > 40).select(col("party"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city HAVING count(*) >= 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] home_city
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: driver.filter(col("age") > 40).groupBy(col("home_city"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.filter(col("age") > 40).groupBy(col("home_city"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] home_city
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] home_city
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.select(col("home_city")) except driver.filter(col("age") > 40).select(col("home_city"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] school -> school
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] TYPE
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: school.groupBy(col("TYPE"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") === 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: school.groupBy(col("TYPE"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") === 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T2.school , T3.name FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id JOIN driver AS T3 ON T1.driver_id = T3.driver_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T3 -> driver,T2 -> school,T1 -> school_bus
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN school AS T2 ON T1.school_id = T2.school_id,JOIN driver AS T3 ON T1.driver_id = T3.driver_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.school,T3.name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: school_bus.join(school, school_bus("school_id") === school("school_id"), inner).join(driver, school_bus("driver_id") === driver("driver_id"), inner).select(school("school"),driver("name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT max(years_working) , min(years_working) , avg(years_working) FROM school_bus
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] school_bus -> school_bus
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] max(years_working),min(years_working),avg(years_working)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: school_bus.agg(max("years_working"),min("years_working"),avg("years_working"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> school,T1 -> school_bus
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN school AS T2 ON T1.school_id = T2.school_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.type,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: school_bus.join(school, school_bus("school_id") === school("school_id"), inner).groupBy(school("type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: school_bus.join(school, school_bus("school_id") === school("school_id"), inner).groupBy(school("type"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM driver WHERE home_city = 'Hartford' OR age < 40
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.filter(col("home_city") === 'Hartford' || col("age") < 40).agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT name FROM driver WHERE home_city = 'Hartford' AND age < 40
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] driver -> driver
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.filter(col("home_city") === 'Hartford' && col("age") < 40).select(col("name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT t1.name FROM driver AS t1 JOIN school_bus AS t2 ON t1.driver_id = t2.driver_id ORDER BY years_working DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t1 -> driver,t2 -> school_bus
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN school_bus AS t2 ON t1.driver_id = t2.driver_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] t1.name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: driver.join(school_bus, driver("driver_id") === school_bus("driver_id"), inner).select(driver("name")).orderBy(desc("years_working")).limit(1)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM flight WHERE velocity > 200
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] flight -> flight
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: flight.filter(col("velocity") > 200).agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT vehicle_flight_number , date , pilot FROM flight ORDER BY altitude ASC
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] flight -> flight
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] vehicle_flight_number,date,pilot
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: flight.select(col("vehicle_flight_number"),col("date"),col("pilot")).orderBy(asc("altitude"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT id , country , city , name FROM airport ORDER BY name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] airport -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] id,country,city,name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.select(col("id"),col("country"),col("city"),col("name")).orderBy(col("name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT max(group_equity_shareholding) FROM operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] operate_company -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] max(group_equity_shareholding)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.agg(max("group_equity_shareholding"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT avg(velocity) FROM flight WHERE pilot = 'Thompson'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] flight -> flight
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] avg(velocity)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: flight.filter(col("pilot") === 'Thompson').agg(avg("velocity"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.name , T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.name,T1.type
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).select(operate_company("name"),operate_company("type"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT name FROM airport WHERE country != 'Iceland'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] airport -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.filter(col("country") =!= 'Iceland').select(col("name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT DISTINCT T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T2.velocity < 200
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.type
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).filter(T2("velocity") < 200).select(operate_company("type")).distinct
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.id , T1.name FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY T1.id HAVING count(*) > 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.id,T1.name
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.name FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY T1.id HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).groupBy(operate_company("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).groupBy(operate_company("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.id , T1.name , T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> flight,T1 -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS T2 ON T1.id = T2.airport_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.id,T1.name,T1.IATA
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.name , T1.IATA FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: airport.join(flight, airport("id") === flight("airport_id"), inner).groupBy(flight("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.join(flight, airport("id") === flight("airport_id"), inner).groupBy(flight("id"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT DISTINCT T2.pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id WHERE T1.country = 'United States' OR T1.name = 'Billund Airport'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> flight,T1 -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS T2 ON T1.id = T2.airport_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.pilot
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.join(flight, airport("id") === flight("airport_id"), inner).filter(airport("country") === 'United States' || airport("name") === 'Billund Airport').select(flight("pilot")).distinct
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT TYPE , count(*) FROM operate_company GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] operate_company -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] TYPE,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT TYPE , count(*) FROM operate_company GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: operate_company.groupBy(col("TYPE"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.groupBy(col("TYPE"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Cargo' INTERSECT SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Catering services'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.pilot
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.pilot
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).filter(operate_company("principal_activities") === 'Cargo').select(T2("pilot")) intersect operate_company.join(flight, operate_company("id") === T2("company_id"), inner).filter(operate_company("principal_activities") === 'Catering services').select(T2("pilot"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT name FROM airport WHERE name LIKE '%international%'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] airport -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] name
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM airport WHERE name LIKE '%international%' [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: airport.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.filter(Unsupport like operation in where statement)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T3.id , count(*) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id JOIN airport AS T3 ON T2.airport_id = T3.id GROUP BY T3.id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T3 -> airport,t2 -> flight,T1 -> operate_company
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN flight AS t2 ON T1.id = T2.company_id,JOIN airport AS T3 ON T2.airport_id = T3.id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T3.id,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T3.id , count(*) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id JOIN airport AS T3 ON T2.airport_id = T3.id GROUP BY T3.id [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).join(airport, T2("airport_id") === airport("id"), inner).groupBy(airport("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: operate_company.join(flight, operate_company("id") === T2("company_id"), inner).join(airport, T2("airport_id") === airport("id"), inner).groupBy(airport("id"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) , country FROM airport GROUP BY country
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] airport -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*),country
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , country FROM airport GROUP BY country [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: airport.groupBy(col("country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.groupBy(col("country"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT country FROM airport GROUP BY country HAVING count(*) > 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] airport -> airport
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] country
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT country FROM airport GROUP BY country HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: airport.groupBy(col("country"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: airport.groupBy(col("country"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT pilot FROM flight GROUP BY pilot ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] flight -> flight
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] pilot
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT pilot FROM flight GROUP BY pilot ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: flight.groupBy(col("pilot"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: flight.groupBy(col("pilot"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT account_id , account_details FROM Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] account_id,account_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.select(col("account_id"),col("account_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT account_id , account_details FROM Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] account_id,account_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.select(col("account_id"),col("account_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Statements -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Statements -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT STATEMENT_ID , statement_details FROM Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Statements -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] STATEMENT_ID,statement_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.select(col("STATEMENT_ID"),col("statement_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT STATEMENT_ID , statement_details FROM Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Statements -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] STATEMENT_ID,statement_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.select(col("STATEMENT_ID"),col("statement_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Statements,T1 -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_id,T2.statement_details,T1.account_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).select(Accounts("statement_id"),Statements("statement_details"),Accounts("account_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Statements,T1 -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_id,T2.statement_details,T1.account_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).select(Accounts("statement_id"),Statements("statement_details"),Accounts("account_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] STATEMENT_ID,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("STATEMENT_ID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.groupBy(col("STATEMENT_ID"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Accounts -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] STATEMENT_ID,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("STATEMENT_ID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.groupBy(col("STATEMENT_ID"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Statements,T1 -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_id,T2.statement_details
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).groupBy(Accounts("statement_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).groupBy(Accounts("statement_id"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Statements,T1 -> Accounts
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Statements AS T2 ON T1.statement_id = T2.statement_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_id,T2.statement_details
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).groupBy(Accounts("statement_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Accounts.join(Statements, Accounts("statement_id") === Statements("statement_id"), inner).groupBy(Accounts("statement_id"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,document_name,document_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_name") === 'Noel CV' || col("document_name") === 'King Book').select(col("document_type_code"),col("document_name"),col("document_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,document_name,document_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_name") === 'Noel CV' || col("document_name") === 'King Book').select(col("document_type_code"),col("document_name"),col("document_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_id , document_name FROM Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_id,document_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.select(col("document_id"),col("document_name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_id , document_name FROM Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_id,document_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.select(col("document_id"),col("document_name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_name,document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).select(col("document_name"),col("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_name,document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).select(col("document_name"),col("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*),project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).groupBy(col("project_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).groupBy(col("project_id"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*),project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).groupBy(col("project_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.filter(col("document_type_code") === col(""BK"")).groupBy(col("project_id"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> projects,T1 -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN projects AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_name,document_date
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.join(projects, Documents("project_id") === projects("project_id"), inner).filter(projects("project_details") === 'Graph Database project').select(col("document_name"),col("document_date"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> projects,T1 -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN projects AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_name,document_date
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.join(projects, Documents("project_id") === projects("project_id"), inner).filter(projects("project_details") === 'Graph Database project').select(col("document_name"),col("document_date"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id , count(*) FROM Documents GROUP BY project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id , count(*) FROM Documents GROUP BY project_id [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id , count(*) FROM Documents GROUP BY project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id , count(*) FROM Documents GROUP BY project_id [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,count(*)
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support to sellect column and agg[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") < 3) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") < 3)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents -> Documents
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") < 3) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents.groupBy(col("document_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") < 3)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.statement_id = T2.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_details,T2.document_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.join(Documents, Statements("statement_id") === Documents("document_id"), inner).filter(Statements("statement_details") === 'Private Project').select(Statements("statement_details"),Documents("document_name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Statements
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.statement_id = T2.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.statement_details,T2.document_name
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Statements.join(Documents, Statements("statement_id") === Documents("document_id"), inner).filter(Statements("statement_details") === 'Private Project').select(Statements("statement_details"),Documents("document_name"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_document_types -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,document_type_name,document_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.select(col("document_type_code"),col("document_type_name"),col("document_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_document_types -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_code,document_type_name,document_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.select(col("document_type_code"),col("document_type_name"),col("document_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_document_types -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.filter(col("document_type_name") === col(""Film"")).select(col("document_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_document_types -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.filter(col("document_type_name") === col(""Film"")).select(col("document_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.document_type_name,T1.document_type_description,T2.Document_date
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.join(Documents, Ref_document_types("document_type_code") === Documents("document_type_code"), inner).select(Ref_document_types("document_type_name"),Ref_document_types("document_type_description"),Documents("Document_date"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Ref_document_types
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.document_type_name,T1.document_type_description,T2.Document_date
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_document_types.join(Documents, Ref_document_types("document_type_code") === Documents("document_type_code"), inner).select(Ref_document_types("document_type_name"),Ref_document_types("document_type_description"),Documents("Document_date"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Projects -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Projects -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id , project_details FROM Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Projects -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id,project_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.select(col("project_id"),col("project_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT project_id , project_details FROM Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Projects -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] project_id,project_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.select(col("project_id"),col("project_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.project_id,T1.project_details
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).groupBy(Projects("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).groupBy(Projects("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.project_id,T1.project_details
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:02 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).groupBy(Projects("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).groupBy(Projects("project_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2)[***UNSUPPORT***]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.project_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).filter(Documents("document_name") === col(""King Book"")).select(Projects("project_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Documents,T1 -> Projects
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Documents AS T2 ON T1.project_id = T2.project_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.project_details
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Projects.join(Documents, Projects("project_id") === Documents("project_id"), inner).filter(Documents("document_name") === col(""King Book"")).select(Projects("project_details"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT budget_type_code , budget_type_description FROM Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] budget_type_code,budget_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.select(col("budget_type_code"),col("budget_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT budget_type_code , budget_type_description FROM Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] budget_type_code,budget_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.select(col("budget_type_code"),col("budget_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] budget_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.filter(col("budget_type_code") === col(""ORG"")).select(col("budget_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Ref_budget_codes -> Ref_budget_codes
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] budget_type_description
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Ref_budget_codes.filter(col("budget_type_code") === col(""ORG"")).select(col("budget_type_description"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents_with_expenses -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT count(*) FROM Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents_with_expenses -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] count(*)
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.agg(count("*"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents_with_expenses -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.filter(col("budget_type_code") === 'SF').select(col("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF'
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents_with_expenses -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join]
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.filter(col("budget_type_code") === 'SF').select(col("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Ref_budget_codes,T1 -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.budget_type_code,T2.budget_type_description,T1.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.join(Ref_budget_codes, Documents_with_expenses("budget_type_code") === Ref_budget_codes("budget_type_code"), inner).select(Ref_budget_codes("budget_type_code"),Ref_budget_codes("budget_type_description"),Documents_with_expenses("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Ref_budget_codes,T1 -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T2.budget_type_code,T2.budget_type_description,T1.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.join(Ref_budget_codes, Documents_with_expenses("budget_type_code") === Ref_budget_codes("budget_type_code"), inner).select(Ref_budget_codes("budget_type_code"),Ref_budget_codes("budget_type_description"),Documents_with_expenses("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Ref_Budget_Codes,T1 -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.join(Ref_Budget_Codes, Documents_with_expenses("Budget_Type_code") === Ref_Budget_Codes("Budget_Type_code"), inner).filter(Ref_Budget_Codes("budget_type_Description") === col(""Government"")).select(Documents_with_expenses("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] T2 -> Ref_Budget_Codes,T1 -> Documents_with_expenses
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Join] JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Select] T1.document_id
2019-10-28 04:03:02 DEBUG DataFrame$:12 - OUTPUT DataFrame: Documents_with_expenses.join(Ref_Budget_Codes, Documents_with_expenses("Budget_Type_code") === Ref_Budget_Codes("Budget_Type_code"), inner).filter(Ref_Budget_Codes("budget_type_Description") === col(""Government"")).select(Documents_with_expenses("document_id"))
2019-10-28 04:03:02 DEBUG DataFrame$:12 - ******************************************
2019-10-28 04:03:02 DEBUG DataFrame$:12 - INPUT SQL: SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code
2019-10-28 04:03:02 DEBUG DataFrame$:12 - [Table<Alias, Name>] Documents_with_expenses -> Documents_with_expenses