forked from hashicorp/terraform-provider-google
/
resource_bigquery_routine.go
1307 lines (1166 loc) · 50.6 KB
/
resource_bigquery_routine.go
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
// Copyright (c) HashiCorp, Inc.
// SPDX-License-Identifier: MPL-2.0
// ----------------------------------------------------------------------------
//
// *** AUTO GENERATED CODE *** Type: MMv1 ***
//
// ----------------------------------------------------------------------------
//
// This file is automatically generated by Magic Modules and manual
// changes will be clobbered when the file is regenerated.
//
// Please read more about how to change this file in
// .github/CONTRIBUTING.md.
//
// ----------------------------------------------------------------------------
package bigquery
import (
"encoding/json"
"fmt"
"log"
"reflect"
"time"
"github.com/hashicorp/terraform-plugin-sdk/v2/helper/customdiff"
"github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema"
"github.com/hashicorp/terraform-plugin-sdk/v2/helper/structure"
"github.com/hashicorp/terraform-plugin-sdk/v2/helper/validation"
"github.com/hashicorp/terraform-provider-google/google/tpgresource"
transport_tpg "github.com/hashicorp/terraform-provider-google/google/transport"
"github.com/hashicorp/terraform-provider-google/google/verify"
"google.golang.org/api/googleapi"
)
func ResourceBigQueryRoutine() *schema.Resource {
return &schema.Resource{
Create: resourceBigQueryRoutineCreate,
Read: resourceBigQueryRoutineRead,
Update: resourceBigQueryRoutineUpdate,
Delete: resourceBigQueryRoutineDelete,
Importer: &schema.ResourceImporter{
State: resourceBigQueryRoutineImport,
},
Timeouts: &schema.ResourceTimeout{
Create: schema.DefaultTimeout(20 * time.Minute),
Update: schema.DefaultTimeout(20 * time.Minute),
Delete: schema.DefaultTimeout(20 * time.Minute),
},
CustomizeDiff: customdiff.All(
tpgresource.DefaultProviderProject,
),
Schema: map[string]*schema.Schema{
"definition_body": {
Type: schema.TypeString,
Required: true,
Description: `The body of the routine. For functions, this is the expression in the AS clause.
If language=SQL, it is the substring inside (but excluding) the parentheses.`,
},
"dataset_id": {
Type: schema.TypeString,
Required: true,
ForceNew: true,
Description: `The ID of the dataset containing this routine`,
},
"routine_id": {
Type: schema.TypeString,
Required: true,
ForceNew: true,
Description: `The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.`,
},
"routine_type": {
Type: schema.TypeString,
Required: true,
ForceNew: true,
ValidateFunc: verify.ValidateEnum([]string{"SCALAR_FUNCTION", "PROCEDURE", "TABLE_VALUED_FUNCTION"}),
Description: `The type of routine. Possible values: ["SCALAR_FUNCTION", "PROCEDURE", "TABLE_VALUED_FUNCTION"]`,
},
"arguments": {
Type: schema.TypeList,
Optional: true,
Description: `Input/output argument of a function or a stored procedure.`,
Elem: &schema.Resource{
Schema: map[string]*schema.Schema{
"argument_kind": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: verify.ValidateEnum([]string{"FIXED_TYPE", "ANY_TYPE", ""}),
Description: `Defaults to FIXED_TYPE. Default value: "FIXED_TYPE" Possible values: ["FIXED_TYPE", "ANY_TYPE"]`,
Default: "FIXED_TYPE",
},
"data_type": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: validation.StringIsJSON,
StateFunc: func(v interface{}) string { s, _ := structure.NormalizeJsonString(v); return s },
Description: `A JSON schema for the data type. Required unless argumentKind = ANY_TYPE.
~>**NOTE**: Because this field expects a JSON string, any changes to the string
will create a diff, even if the JSON itself hasn't changed. If the API returns
a different value for the same schema, e.g. it switched the order of values
or replaced STRUCT field type with RECORD field type, we currently cannot
suppress the recurring diff this causes. As a workaround, we recommend using
the schema as returned by the API.`,
},
"mode": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: verify.ValidateEnum([]string{"IN", "OUT", "INOUT", ""}),
Description: `Specifies whether the argument is input or output. Can be set for procedures only. Possible values: ["IN", "OUT", "INOUT"]`,
},
"name": {
Type: schema.TypeString,
Optional: true,
Description: `The name of this argument. Can be absent for function return argument.`,
},
},
},
},
"description": {
Type: schema.TypeString,
Optional: true,
Description: `The description of the routine if defined.`,
},
"determinism_level": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: verify.ValidateEnum([]string{"DETERMINISM_LEVEL_UNSPECIFIED", "DETERMINISTIC", "NOT_DETERMINISTIC", ""}),
Description: `The determinism level of the JavaScript UDF if defined. Possible values: ["DETERMINISM_LEVEL_UNSPECIFIED", "DETERMINISTIC", "NOT_DETERMINISTIC"]`,
},
"imported_libraries": {
Type: schema.TypeList,
Optional: true,
Description: `Optional. If language = "JAVASCRIPT", this field stores the path of the
imported JAVASCRIPT libraries.`,
Elem: &schema.Schema{
Type: schema.TypeString,
},
},
"language": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: verify.ValidateEnum([]string{"SQL", "JAVASCRIPT", "PYTHON", "JAVA", "SCALA", ""}),
Description: `The language of the routine. Possible values: ["SQL", "JAVASCRIPT", "PYTHON", "JAVA", "SCALA"]`,
},
"remote_function_options": {
Type: schema.TypeList,
Optional: true,
Description: `Remote function specific options.`,
MaxItems: 1,
Elem: &schema.Resource{
Schema: map[string]*schema.Schema{
"connection": {
Type: schema.TypeString,
Optional: true,
Description: `Fully qualified name of the user-provided connection object which holds
the authentication information to send requests to the remote service.
Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"`,
},
"endpoint": {
Type: schema.TypeString,
Optional: true,
Description: `Endpoint of the user-provided remote service, e.g.
'https://us-east1-my_gcf_project.cloudfunctions.net/remote_add'`,
},
"max_batching_rows": {
Type: schema.TypeString,
Optional: true,
Description: `Max number of rows in each batch sent to the remote service. If absent or if 0,
BigQuery dynamically decides the number of rows in a batch.`,
},
"user_defined_context": {
Type: schema.TypeMap,
Computed: true,
Optional: true,
Description: `User-defined context as a set of key/value pairs, which will be sent as function
invocation context together with batched arguments in the requests to the remote
service. The total number of bytes of keys and values must be less than 8KB.
An object containing a list of "key": value pairs. Example:
'{ "name": "wrench", "mass": "1.3kg", "count": "3" }'.`,
Elem: &schema.Schema{Type: schema.TypeString},
},
},
},
},
"return_table_type": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: validation.StringIsJSON,
StateFunc: func(v interface{}) string { s, _ := structure.NormalizeJsonString(v); return s },
Description: `Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
If absent, the return table type is inferred from definitionBody at query time in each query
that references this routine. If present, then the columns in the evaluated table result will
be cast to match the column types specificed in return table type, at query time.`,
},
"return_type": {
Type: schema.TypeString,
Optional: true,
ValidateFunc: validation.StringIsJSON,
StateFunc: func(v interface{}) string { s, _ := structure.NormalizeJsonString(v); return s },
Description: `A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
If absent, the return type is inferred from definitionBody at query time in each query
that references this routine. If present, then the evaluated result will be cast to
the specified returned type at query time. ~>**NOTE**: Because this field expects a JSON
string, any changes to the string will create a diff, even if the JSON itself hasn't
changed. If the API returns a different value for the same schema, e.g. it switche
d the order of values or replaced STRUCT field type with RECORD field type, we currently
cannot suppress the recurring diff this causes. As a workaround, we recommend using
the schema as returned by the API.`,
},
"spark_options": {
Type: schema.TypeList,
Optional: true,
Description: `Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.`,
MaxItems: 1,
Elem: &schema.Resource{
Schema: map[string]*schema.Schema{
"archive_uris": {
Type: schema.TypeList,
Computed: true,
Optional: true,
Description: `Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.`,
Elem: &schema.Schema{
Type: schema.TypeString,
},
},
"connection": {
Type: schema.TypeString,
Optional: true,
Description: `Fully qualified name of the user-provided Spark connection object.
Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"`,
},
"container_image": {
Type: schema.TypeString,
Optional: true,
Description: `Custom container image for the runtime environment.`,
},
"file_uris": {
Type: schema.TypeList,
Computed: true,
Optional: true,
Description: `Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.`,
Elem: &schema.Schema{
Type: schema.TypeString,
},
},
"jar_uris": {
Type: schema.TypeList,
Computed: true,
Optional: true,
Description: `JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.`,
Elem: &schema.Schema{
Type: schema.TypeString,
},
},
"main_class": {
Type: schema.TypeString,
Optional: true,
Description: `The fully qualified name of a class in jarUris, for example, com.example.wordcount.
Exactly one of mainClass and main_jar_uri field should be set for Java/Scala language type.`,
},
"main_file_uri": {
Type: schema.TypeString,
Optional: true,
Description: `The main file/jar URI of the Spark application.
Exactly one of the definitionBody field and the mainFileUri field must be set for Python.
Exactly one of mainClass and mainFileUri field should be set for Java/Scala language type.`,
},
"properties": {
Type: schema.TypeMap,
Computed: true,
Optional: true,
Description: `Configuration properties as a set of key/value pairs, which will be passed on to the Spark application.
For more information, see Apache Spark and the procedure option list.
An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.`,
Elem: &schema.Schema{Type: schema.TypeString},
},
"py_file_uris": {
Type: schema.TypeList,
Computed: true,
Optional: true,
Description: `Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.`,
Elem: &schema.Schema{
Type: schema.TypeString,
},
},
"runtime_version": {
Type: schema.TypeString,
Optional: true,
Description: `Runtime version. If not specified, the default runtime version is used.`,
},
},
},
},
"creation_time": {
Type: schema.TypeInt,
Computed: true,
Description: `The time when this routine was created, in milliseconds since the
epoch.`,
},
"last_modified_time": {
Type: schema.TypeInt,
Computed: true,
Description: `The time when this routine was modified, in milliseconds since the
epoch.`,
},
"project": {
Type: schema.TypeString,
Optional: true,
Computed: true,
ForceNew: true,
},
},
UseJSONNumber: true,
}
}
func resourceBigQueryRoutineCreate(d *schema.ResourceData, meta interface{}) error {
config := meta.(*transport_tpg.Config)
userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent)
if err != nil {
return err
}
obj := make(map[string]interface{})
routineReferenceProp, err := expandBigQueryRoutineRoutineReference(nil, d, config)
if err != nil {
return err
} else if !tpgresource.IsEmptyValue(reflect.ValueOf(routineReferenceProp)) {
obj["routineReference"] = routineReferenceProp
}
routineTypeProp, err := expandBigQueryRoutineRoutineType(d.Get("routine_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("routine_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(routineTypeProp)) && (ok || !reflect.DeepEqual(v, routineTypeProp)) {
obj["routineType"] = routineTypeProp
}
languageProp, err := expandBigQueryRoutineLanguage(d.Get("language"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("language"); !tpgresource.IsEmptyValue(reflect.ValueOf(languageProp)) && (ok || !reflect.DeepEqual(v, languageProp)) {
obj["language"] = languageProp
}
argumentsProp, err := expandBigQueryRoutineArguments(d.Get("arguments"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("arguments"); !tpgresource.IsEmptyValue(reflect.ValueOf(argumentsProp)) && (ok || !reflect.DeepEqual(v, argumentsProp)) {
obj["arguments"] = argumentsProp
}
returnTypeProp, err := expandBigQueryRoutineReturnType(d.Get("return_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("return_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(returnTypeProp)) && (ok || !reflect.DeepEqual(v, returnTypeProp)) {
obj["returnType"] = returnTypeProp
}
returnTableTypeProp, err := expandBigQueryRoutineReturnTableType(d.Get("return_table_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("return_table_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(returnTableTypeProp)) && (ok || !reflect.DeepEqual(v, returnTableTypeProp)) {
obj["returnTableType"] = returnTableTypeProp
}
importedLibrariesProp, err := expandBigQueryRoutineImportedLibraries(d.Get("imported_libraries"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("imported_libraries"); !tpgresource.IsEmptyValue(reflect.ValueOf(importedLibrariesProp)) && (ok || !reflect.DeepEqual(v, importedLibrariesProp)) {
obj["importedLibraries"] = importedLibrariesProp
}
definitionBodyProp, err := expandBigQueryRoutineDefinitionBody(d.Get("definition_body"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("definition_body"); !tpgresource.IsEmptyValue(reflect.ValueOf(definitionBodyProp)) && (ok || !reflect.DeepEqual(v, definitionBodyProp)) {
obj["definitionBody"] = definitionBodyProp
}
descriptionProp, err := expandBigQueryRoutineDescription(d.Get("description"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("description"); !tpgresource.IsEmptyValue(reflect.ValueOf(descriptionProp)) && (ok || !reflect.DeepEqual(v, descriptionProp)) {
obj["description"] = descriptionProp
}
determinismLevelProp, err := expandBigQueryRoutineDeterminismLevel(d.Get("determinism_level"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(determinismLevelProp)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
obj["determinismLevel"] = determinismLevelProp
}
sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("spark_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(sparkOptionsProp)) && (ok || !reflect.DeepEqual(v, sparkOptionsProp)) {
obj["sparkOptions"] = sparkOptionsProp
}
remoteFunctionOptionsProp, err := expandBigQueryRoutineRemoteFunctionOptions(d.Get("remote_function_options"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("remote_function_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(remoteFunctionOptionsProp)) && (ok || !reflect.DeepEqual(v, remoteFunctionOptionsProp)) {
obj["remoteFunctionOptions"] = remoteFunctionOptionsProp
}
url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines")
if err != nil {
return err
}
log.Printf("[DEBUG] Creating new Routine: %#v", obj)
billingProject := ""
project, err := tpgresource.GetProject(d, config)
if err != nil {
return fmt.Errorf("Error fetching project for Routine: %s", err)
}
billingProject = project
// err == nil indicates that the billing_project value was found
if bp, err := tpgresource.GetBillingProject(d, config); err == nil {
billingProject = bp
}
res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{
Config: config,
Method: "POST",
Project: billingProject,
RawURL: url,
UserAgent: userAgent,
Body: obj,
Timeout: d.Timeout(schema.TimeoutCreate),
})
if err != nil {
return fmt.Errorf("Error creating Routine: %s", err)
}
// Store the ID now
id, err := tpgresource.ReplaceVars(d, config, "projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
if err != nil {
return fmt.Errorf("Error constructing id: %s", err)
}
d.SetId(id)
log.Printf("[DEBUG] Finished creating Routine %q: %#v", d.Id(), res)
return resourceBigQueryRoutineRead(d, meta)
}
func resourceBigQueryRoutineRead(d *schema.ResourceData, meta interface{}) error {
config := meta.(*transport_tpg.Config)
userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent)
if err != nil {
return err
}
url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
if err != nil {
return err
}
billingProject := ""
project, err := tpgresource.GetProject(d, config)
if err != nil {
return fmt.Errorf("Error fetching project for Routine: %s", err)
}
billingProject = project
// err == nil indicates that the billing_project value was found
if bp, err := tpgresource.GetBillingProject(d, config); err == nil {
billingProject = bp
}
res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{
Config: config,
Method: "GET",
Project: billingProject,
RawURL: url,
UserAgent: userAgent,
})
if err != nil {
return transport_tpg.HandleNotFoundError(err, d, fmt.Sprintf("BigQueryRoutine %q", d.Id()))
}
if err := d.Set("project", project); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
// Terraform must set the top level schema field, but since this object contains collapsed properties
// it's difficult to know what the top level should be. Instead we just loop over the map returned from flatten.
if flattenedProp := flattenBigQueryRoutineRoutineReference(res["routineReference"], d, config); flattenedProp != nil {
if gerr, ok := flattenedProp.(*googleapi.Error); ok {
return fmt.Errorf("Error reading Routine: %s", gerr)
}
casted := flattenedProp.([]interface{})[0]
if casted != nil {
for k, v := range casted.(map[string]interface{}) {
if err := d.Set(k, v); err != nil {
return fmt.Errorf("Error setting %s: %s", k, err)
}
}
}
}
if err := d.Set("routine_type", flattenBigQueryRoutineRoutineType(res["routineType"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("creation_time", flattenBigQueryRoutineCreationTime(res["creationTime"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("last_modified_time", flattenBigQueryRoutineLastModifiedTime(res["lastModifiedTime"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("language", flattenBigQueryRoutineLanguage(res["language"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("arguments", flattenBigQueryRoutineArguments(res["arguments"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("return_type", flattenBigQueryRoutineReturnType(res["returnType"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("return_table_type", flattenBigQueryRoutineReturnTableType(res["returnTableType"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("imported_libraries", flattenBigQueryRoutineImportedLibraries(res["importedLibraries"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("definition_body", flattenBigQueryRoutineDefinitionBody(res["definitionBody"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("description", flattenBigQueryRoutineDescription(res["description"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("determinism_level", flattenBigQueryRoutineDeterminismLevel(res["determinismLevel"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("spark_options", flattenBigQueryRoutineSparkOptions(res["sparkOptions"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
if err := d.Set("remote_function_options", flattenBigQueryRoutineRemoteFunctionOptions(res["remoteFunctionOptions"], d, config)); err != nil {
return fmt.Errorf("Error reading Routine: %s", err)
}
return nil
}
func resourceBigQueryRoutineUpdate(d *schema.ResourceData, meta interface{}) error {
config := meta.(*transport_tpg.Config)
userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent)
if err != nil {
return err
}
billingProject := ""
project, err := tpgresource.GetProject(d, config)
if err != nil {
return fmt.Errorf("Error fetching project for Routine: %s", err)
}
billingProject = project
obj := make(map[string]interface{})
routineReferenceProp, err := expandBigQueryRoutineRoutineReference(nil, d, config)
if err != nil {
return err
} else if !tpgresource.IsEmptyValue(reflect.ValueOf(routineReferenceProp)) {
obj["routineReference"] = routineReferenceProp
}
routineTypeProp, err := expandBigQueryRoutineRoutineType(d.Get("routine_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("routine_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, routineTypeProp)) {
obj["routineType"] = routineTypeProp
}
languageProp, err := expandBigQueryRoutineLanguage(d.Get("language"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("language"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, languageProp)) {
obj["language"] = languageProp
}
argumentsProp, err := expandBigQueryRoutineArguments(d.Get("arguments"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("arguments"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, argumentsProp)) {
obj["arguments"] = argumentsProp
}
returnTypeProp, err := expandBigQueryRoutineReturnType(d.Get("return_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("return_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, returnTypeProp)) {
obj["returnType"] = returnTypeProp
}
returnTableTypeProp, err := expandBigQueryRoutineReturnTableType(d.Get("return_table_type"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("return_table_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, returnTableTypeProp)) {
obj["returnTableType"] = returnTableTypeProp
}
importedLibrariesProp, err := expandBigQueryRoutineImportedLibraries(d.Get("imported_libraries"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("imported_libraries"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, importedLibrariesProp)) {
obj["importedLibraries"] = importedLibrariesProp
}
definitionBodyProp, err := expandBigQueryRoutineDefinitionBody(d.Get("definition_body"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("definition_body"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, definitionBodyProp)) {
obj["definitionBody"] = definitionBodyProp
}
descriptionProp, err := expandBigQueryRoutineDescription(d.Get("description"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("description"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, descriptionProp)) {
obj["description"] = descriptionProp
}
determinismLevelProp, err := expandBigQueryRoutineDeterminismLevel(d.Get("determinism_level"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
obj["determinismLevel"] = determinismLevelProp
}
sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("spark_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, sparkOptionsProp)) {
obj["sparkOptions"] = sparkOptionsProp
}
remoteFunctionOptionsProp, err := expandBigQueryRoutineRemoteFunctionOptions(d.Get("remote_function_options"), d, config)
if err != nil {
return err
} else if v, ok := d.GetOkExists("remote_function_options"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, remoteFunctionOptionsProp)) {
obj["remoteFunctionOptions"] = remoteFunctionOptionsProp
}
url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
if err != nil {
return err
}
log.Printf("[DEBUG] Updating Routine %q: %#v", d.Id(), obj)
// err == nil indicates that the billing_project value was found
if bp, err := tpgresource.GetBillingProject(d, config); err == nil {
billingProject = bp
}
res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{
Config: config,
Method: "PUT",
Project: billingProject,
RawURL: url,
UserAgent: userAgent,
Body: obj,
Timeout: d.Timeout(schema.TimeoutUpdate),
})
if err != nil {
return fmt.Errorf("Error updating Routine %q: %s", d.Id(), err)
} else {
log.Printf("[DEBUG] Finished updating Routine %q: %#v", d.Id(), res)
}
return resourceBigQueryRoutineRead(d, meta)
}
func resourceBigQueryRoutineDelete(d *schema.ResourceData, meta interface{}) error {
config := meta.(*transport_tpg.Config)
userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent)
if err != nil {
return err
}
billingProject := ""
project, err := tpgresource.GetProject(d, config)
if err != nil {
return fmt.Errorf("Error fetching project for Routine: %s", err)
}
billingProject = project
url, err := tpgresource.ReplaceVars(d, config, "{{BigQueryBasePath}}projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
if err != nil {
return err
}
var obj map[string]interface{}
// err == nil indicates that the billing_project value was found
if bp, err := tpgresource.GetBillingProject(d, config); err == nil {
billingProject = bp
}
log.Printf("[DEBUG] Deleting Routine %q", d.Id())
res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{
Config: config,
Method: "DELETE",
Project: billingProject,
RawURL: url,
UserAgent: userAgent,
Body: obj,
Timeout: d.Timeout(schema.TimeoutDelete),
})
if err != nil {
return transport_tpg.HandleNotFoundError(err, d, "Routine")
}
log.Printf("[DEBUG] Finished deleting Routine %q: %#v", d.Id(), res)
return nil
}
func resourceBigQueryRoutineImport(d *schema.ResourceData, meta interface{}) ([]*schema.ResourceData, error) {
config := meta.(*transport_tpg.Config)
if err := tpgresource.ParseImportId([]string{
"^projects/(?P<project>[^/]+)/datasets/(?P<dataset_id>[^/]+)/routines/(?P<routine_id>[^/]+)$",
"^(?P<project>[^/]+)/(?P<dataset_id>[^/]+)/(?P<routine_id>[^/]+)$",
"^(?P<dataset_id>[^/]+)/(?P<routine_id>[^/]+)$",
}, d, config); err != nil {
return nil, err
}
// Replace import id for the resource id
id, err := tpgresource.ReplaceVars(d, config, "projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}")
if err != nil {
return nil, fmt.Errorf("Error constructing id: %s", err)
}
d.SetId(id)
return []*schema.ResourceData{d}, nil
}
func flattenBigQueryRoutineRoutineReference(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
original := v.(map[string]interface{})
if len(original) == 0 {
return nil
}
transformed := make(map[string]interface{})
transformed["dataset_id"] =
flattenBigQueryRoutineRoutineReferenceDatasetId(original["datasetId"], d, config)
transformed["routine_id"] =
flattenBigQueryRoutineRoutineReferenceRoutineId(original["routineId"], d, config)
return []interface{}{transformed}
}
func flattenBigQueryRoutineRoutineReferenceDatasetId(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRoutineReferenceRoutineId(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRoutineType(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineCreationTime(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
// Handles the string fixed64 format
if strVal, ok := v.(string); ok {
if intVal, err := tpgresource.StringToFixed64(strVal); err == nil {
return intVal
}
}
// number values are represented as float64
if floatVal, ok := v.(float64); ok {
intVal := int(floatVal)
return intVal
}
return v // let terraform core handle it otherwise
}
func flattenBigQueryRoutineLastModifiedTime(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
// Handles the string fixed64 format
if strVal, ok := v.(string); ok {
if intVal, err := tpgresource.StringToFixed64(strVal); err == nil {
return intVal
}
}
// number values are represented as float64
if floatVal, ok := v.(float64); ok {
intVal := int(floatVal)
return intVal
}
return v // let terraform core handle it otherwise
}
func flattenBigQueryRoutineLanguage(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineArguments(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return v
}
l := v.([]interface{})
transformed := make([]interface{}, 0, len(l))
for _, raw := range l {
original := raw.(map[string]interface{})
if len(original) < 1 {
// Do not include empty json objects coming back from the api
continue
}
transformed = append(transformed, map[string]interface{}{
"name": flattenBigQueryRoutineArgumentsName(original["name"], d, config),
"argument_kind": flattenBigQueryRoutineArgumentsArgumentKind(original["argumentKind"], d, config),
"mode": flattenBigQueryRoutineArgumentsMode(original["mode"], d, config),
"data_type": flattenBigQueryRoutineArgumentsDataType(original["dataType"], d, config),
})
}
return transformed
}
func flattenBigQueryRoutineArgumentsName(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineArgumentsArgumentKind(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineArgumentsMode(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineArgumentsDataType(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
b, err := json.Marshal(v)
if err != nil {
// TODO: return error once https://github.com/GoogleCloudPlatform/magic-modules/issues/3257 is fixed.
log.Printf("[ERROR] failed to marshal schema to JSON: %v", err)
}
return string(b)
}
func flattenBigQueryRoutineReturnType(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
b, err := json.Marshal(v)
if err != nil {
// TODO: return error once https://github.com/GoogleCloudPlatform/magic-modules/issues/3257 is fixed.
log.Printf("[ERROR] failed to marshal schema to JSON: %v", err)
}
return string(b)
}
func flattenBigQueryRoutineReturnTableType(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
b, err := json.Marshal(v)
if err != nil {
// TODO: return error once https://github.com/GoogleCloudPlatform/magic-modules/issues/3257 is fixed.
log.Printf("[ERROR] failed to marshal schema to JSON: %v", err)
}
return string(b)
}
func flattenBigQueryRoutineImportedLibraries(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineDefinitionBody(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineDescription(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineDeterminismLevel(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptions(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
original := v.(map[string]interface{})
if len(original) == 0 {
return nil
}
transformed := make(map[string]interface{})
transformed["connection"] =
flattenBigQueryRoutineSparkOptionsConnection(original["connection"], d, config)
transformed["runtime_version"] =
flattenBigQueryRoutineSparkOptionsRuntimeVersion(original["runtimeVersion"], d, config)
transformed["container_image"] =
flattenBigQueryRoutineSparkOptionsContainerImage(original["containerImage"], d, config)
transformed["properties"] =
flattenBigQueryRoutineSparkOptionsProperties(original["properties"], d, config)
transformed["main_file_uri"] =
flattenBigQueryRoutineSparkOptionsMainFileUri(original["mainFileUri"], d, config)
transformed["py_file_uris"] =
flattenBigQueryRoutineSparkOptionsPyFileUris(original["pyFileUris"], d, config)
transformed["jar_uris"] =
flattenBigQueryRoutineSparkOptionsJarUris(original["jarUris"], d, config)
transformed["file_uris"] =
flattenBigQueryRoutineSparkOptionsFileUris(original["fileUris"], d, config)
transformed["archive_uris"] =
flattenBigQueryRoutineSparkOptionsArchiveUris(original["archiveUris"], d, config)
transformed["main_class"] =
flattenBigQueryRoutineSparkOptionsMainClass(original["mainClass"], d, config)
return []interface{}{transformed}
}
func flattenBigQueryRoutineSparkOptionsConnection(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsRuntimeVersion(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsContainerImage(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsProperties(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsMainFileUri(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsPyFileUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsJarUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsFileUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsArchiveUris(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineSparkOptionsMainClass(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRemoteFunctionOptions(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
if v == nil {
return nil
}
original := v.(map[string]interface{})
if len(original) == 0 {
return nil
}
transformed := make(map[string]interface{})
transformed["endpoint"] =
flattenBigQueryRoutineRemoteFunctionOptionsEndpoint(original["endpoint"], d, config)
transformed["connection"] =
flattenBigQueryRoutineRemoteFunctionOptionsConnection(original["connection"], d, config)
transformed["user_defined_context"] =
flattenBigQueryRoutineRemoteFunctionOptionsUserDefinedContext(original["userDefinedContext"], d, config)
transformed["max_batching_rows"] =
flattenBigQueryRoutineRemoteFunctionOptionsMaxBatchingRows(original["maxBatchingRows"], d, config)
return []interface{}{transformed}
}
func flattenBigQueryRoutineRemoteFunctionOptionsEndpoint(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRemoteFunctionOptionsConnection(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRemoteFunctionOptionsUserDefinedContext(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func flattenBigQueryRoutineRemoteFunctionOptionsMaxBatchingRows(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
return v
}
func expandBigQueryRoutineRoutineReference(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
transformed := make(map[string]interface{})
transformed["datasetId"] = d.Get("dataset_id")
project, _ := tpgresource.GetProject(d, config)
transformed["projectId"] = project
transformed["routineId"] = d.Get("routine_id")
return transformed, nil
}