chore(gradle): bump com.google.protobuf:protobuf-java #1267
dependabot[bot]Annotations
7 errors
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nightly (check, 17)
Process completed with exit code 1.
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nightly (check, 21)
Process completed with exit code 1.
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nightly (check, 23)
Process completed with exit code 1.
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nightly (check, 11)
Process completed with exit code 1.
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tests/test_kafka_consumer.py.test_protobuf_spec [regular]:
tests/test_kafka_consumer/KafkaConsumerTestCase#L1
failed to consume a Kafka stream. : RuntimeError: java.lang.VerifyError: Bad type on operand stack
Traceback (most recent call last):
File "/python/deephaven/stream/kafka/consumer.py", line 258, in _consume
j_table=_JKafkaTools.consumeToTable(
RuntimeError: java.lang.VerifyError: Bad type on operand stack
Exception Details:
Location:
io/confluent/kafka/schemaregistry/protobuf/ProtobufSchema.toEnum(Lcom/google/protobuf/DescriptorProtos$EnumDescriptorProto;)Lcom/squareup/wire/schema/internal/parser/EnumElement; @161: invokestatic
Reason:
Type 'com/google/protobuf/DescriptorProtos$EnumValueOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage'
Current Frame:
bci: @161
flags: { }
locals: { 'com/google/protobuf/DescriptorProtos$EnumDescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'java/util/Iterator', 'com/google/protobuf/DescriptorProtos$EnumValueDescriptorProto', 'com/google/common/collect/ImmutableList$Builder' }
stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$EnumValueOptions' }
Bytecode:
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0000010: 00b8 0063 4d2a b601 4db9 0053 0100 4e2d
0000020: b900 5401 0099 00a6 2db9 0055 0100 c001
0000030: 4e3a 04b8 0063 3a05 1904 b601 4fb6 0150
0000040: 9900 25bb 0079 5912 a0b2 0083 1904 b601
0000050: 4fb6 0151 b800 8503 b700 7d3a 0619 0519
0000060: 06b6 0067 5719 04b6 014f b201 52b6 0153
0000070: 9900 2a19 04b6 014f b201 52b6 0154 c000
0000080: bd3a 0613 0155 1906 b800 bf3a 0719 07c6
0000090: 000b 1905 1907 b600 6757 1905 1904 b601
00000a0: 4fb8 00c0 b600 c157 2cbb 0156 59b2 0043
00000b0: 1904 b601 5719 04b6 0158 12d3 1905 b600
00000c0: c5b7 0159 b600 6757 a7ff 57b8 0063 4e2a
00000d0: b601 5ab9 0053 0100 3a04 1904 b900 5401
00000e0: 0099 0020 1904 b900 5501 00c0 015b 3a05
00000f0: 1905 b801 5c3a 062d 1906 b600 6757 a7ff
0000100: dc2a b601 5db9 0121 0100 3a04 1904 b900
0000110: 5401 0099 002c 1904 b900 5501 00c0 0074
0000120: 3a05 bb01 2259 b200 4312 d319 05b8 0123
0000130: b701 243a 062d 1906 b600 6757 a7ff d0b8
0000140: 0063 3a04 2ab6 015e b601 5f99 0025 bb00
0000150: 7959 1301 60b2 0083 2ab6 015e b601 61b8
0000160: 0085 03b7 007d 3a05 1904 1905 b600 6757
0000170: 2ab6 015e b601 6299 0024 bb00 7959 12a0
0000180: b200 832a b601 5eb6 0163 b800 8503 b700
0000190: 7d3a 0519 0419 05b6 0067 572a b601 5eb2
00001a0: 0164 b601 6599 0029 2ab6 015e b201 64b6
00001b0: 0166 c000 bd3a 0513 0167 1905 b800 bf3a
00001c0: 0619 06c6 000b 1904 1906 b600 6757 1904
00001d0: 2ab6 015e b800 c0b6 00c1 57bb 0168 59b2
00001e0: 0043 2b12 d319 04b6 00c5 2cb6 00c5 2db6
00001f0: 00c5 b701 69b0
Stackmap Table:
append_frame(@31,Object[#1106],Object[#1219],Object[#1170])
append_frame(@101,Object[#1336],Object[#1219])
same_frame(@154)
chop_frame(@203,3)
append_frame(@218,Object[#1219],Object[#1170])
chop_frame(@257,1)
append_frame(@268,Object[#1170])
chop_frame(@319,1)
append_frame(@368,Object[#1219])
same_frame(@411)
same_frame(@462)
at io.confluent.kafka.schemaregistry.protobuf.ProtobufSchemaProvider.parseSchemaOrElseThrow(ProtobufSchemaProvider.java:38)
at io.confluent.kafka.schemaregistry.SchemaProvider.parseSchema(SchemaProvider.java:75)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.parseSchema(CachedSchemaRegistryClient.java:301)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:340)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaBySubjectAndId(CachedSchemaRegistryClient.java:464)
at io.deephaven.kafka.ProtobufImpl.descriptor(ProtobufImpl.java:230)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:117)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:101)
at io.deephaven.kafka.KafkaTools.getConsumeStruct(KafkaTools.java:1257)
at io.deephaven.kafka.KafkaTools.consume(KafkaTools.java:1347)
at io.deephaven.kafka.KafkaTools.consumeToTable(KafkaTools.java:1020)
|
|
tests/test_kafka_consumer.py.test_protobuf_spec [include /foo /bar]:
tests/test_kafka_consumer/KafkaConsumerTestCase#L1
failed to consume a Kafka stream. : RuntimeError: java.lang.VerifyError: Bad type on operand stack
Traceback (most recent call last):
File "/python/deephaven/stream/kafka/consumer.py", line 258, in _consume
j_table=_JKafkaTools.consumeToTable(
RuntimeError: java.lang.VerifyError: Bad type on operand stack
Exception Details:
Location:
io/confluent/kafka/schemaregistry/protobuf/ProtobufSchema.toEnum(Lcom/google/protobuf/DescriptorProtos$EnumDescriptorProto;)Lcom/squareup/wire/schema/internal/parser/EnumElement; @161: invokestatic
Reason:
Type 'com/google/protobuf/DescriptorProtos$EnumValueOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage'
Current Frame:
bci: @161
flags: { }
locals: { 'com/google/protobuf/DescriptorProtos$EnumDescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'java/util/Iterator', 'com/google/protobuf/DescriptorProtos$EnumValueDescriptorProto', 'com/google/common/collect/ImmutableList$Builder' }
stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$EnumValueOptions' }
Bytecode:
0000000: 2ab6 014b 4cb2 001e 1301 4c2b b901 0f03
0000010: 00b8 0063 4d2a b601 4db9 0053 0100 4e2d
0000020: b900 5401 0099 00a6 2db9 0055 0100 c001
0000030: 4e3a 04b8 0063 3a05 1904 b601 4fb6 0150
0000040: 9900 25bb 0079 5912 a0b2 0083 1904 b601
0000050: 4fb6 0151 b800 8503 b700 7d3a 0619 0519
0000060: 06b6 0067 5719 04b6 014f b201 52b6 0153
0000070: 9900 2a19 04b6 014f b201 52b6 0154 c000
0000080: bd3a 0613 0155 1906 b800 bf3a 0719 07c6
0000090: 000b 1905 1907 b600 6757 1905 1904 b601
00000a0: 4fb8 00c0 b600 c157 2cbb 0156 59b2 0043
00000b0: 1904 b601 5719 04b6 0158 12d3 1905 b600
00000c0: c5b7 0159 b600 6757 a7ff 57b8 0063 4e2a
00000d0: b601 5ab9 0053 0100 3a04 1904 b900 5401
00000e0: 0099 0020 1904 b900 5501 00c0 015b 3a05
00000f0: 1905 b801 5c3a 062d 1906 b600 6757 a7ff
0000100: dc2a b601 5db9 0121 0100 3a04 1904 b900
0000110: 5401 0099 002c 1904 b900 5501 00c0 0074
0000120: 3a05 bb01 2259 b200 4312 d319 05b8 0123
0000130: b701 243a 062d 1906 b600 6757 a7ff d0b8
0000140: 0063 3a04 2ab6 015e b601 5f99 0025 bb00
0000150: 7959 1301 60b2 0083 2ab6 015e b601 61b8
0000160: 0085 03b7 007d 3a05 1904 1905 b600 6757
0000170: 2ab6 015e b601 6299 0024 bb00 7959 12a0
0000180: b200 832a b601 5eb6 0163 b800 8503 b700
0000190: 7d3a 0519 0419 05b6 0067 572a b601 5eb2
00001a0: 0164 b601 6599 0029 2ab6 015e b201 64b6
00001b0: 0166 c000 bd3a 0513 0167 1905 b800 bf3a
00001c0: 0619 06c6 000b 1904 1906 b600 6757 1904
00001d0: 2ab6 015e b800 c0b6 00c1 57bb 0168 59b2
00001e0: 0043 2b12 d319 04b6 00c5 2cb6 00c5 2db6
00001f0: 00c5 b701 69b0
Stackmap Table:
append_frame(@31,Object[#1106],Object[#1219],Object[#1170])
append_frame(@101,Object[#1336],Object[#1219])
same_frame(@154)
chop_frame(@203,3)
append_frame(@218,Object[#1219],Object[#1170])
chop_frame(@257,1)
append_frame(@268,Object[#1170])
chop_frame(@319,1)
append_frame(@368,Object[#1219])
same_frame(@411)
same_frame(@462)
at io.confluent.kafka.schemaregistry.protobuf.ProtobufSchemaProvider.parseSchemaOrElseThrow(ProtobufSchemaProvider.java:38)
at io.confluent.kafka.schemaregistry.SchemaProvider.parseSchema(SchemaProvider.java:75)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.parseSchema(CachedSchemaRegistryClient.java:301)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:340)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaBySubjectAndId(CachedSchemaRegistryClient.java:464)
at io.deephaven.kafka.ProtobufImpl.descriptor(ProtobufImpl.java:230)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:117)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:101)
at io.deephaven.kafka.KafkaTools.getConsumeStruct(KafkaTools.java:1257)
at io.deephaven.kafka.KafkaTools.consume(KafkaTools.java:1347)
at io.deephaven.kafka.KafkaTools.consumeToTable(KafkaTools.java:1020)
|
|
tests/test_kafka_consumer.py.test_protobuf_spec [include /ts /sub/*]:
tests/test_kafka_consumer/KafkaConsumerTestCase#L1
failed to consume a Kafka stream. : RuntimeError: java.lang.VerifyError: Bad type on operand stack
Traceback (most recent call last):
File "/python/deephaven/stream/kafka/consumer.py", line 258, in _consume
j_table=_JKafkaTools.consumeToTable(
RuntimeError: java.lang.VerifyError: Bad type on operand stack
Exception Details:
Location:
io/confluent/kafka/schemaregistry/protobuf/ProtobufSchema.toEnum(Lcom/google/protobuf/DescriptorProtos$EnumDescriptorProto;)Lcom/squareup/wire/schema/internal/parser/EnumElement; @161: invokestatic
Reason:
Type 'com/google/protobuf/DescriptorProtos$EnumValueOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage'
Current Frame:
bci: @161
flags: { }
locals: { 'com/google/protobuf/DescriptorProtos$EnumDescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'java/util/Iterator', 'com/google/protobuf/DescriptorProtos$EnumValueDescriptorProto', 'com/google/common/collect/ImmutableList$Builder' }
stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$EnumValueOptions' }
Bytecode:
0000000: 2ab6 014b 4cb2 001e 1301 4c2b b901 0f03
0000010: 00b8 0063 4d2a b601 4db9 0053 0100 4e2d
0000020: b900 5401 0099 00a6 2db9 0055 0100 c001
0000030: 4e3a 04b8 0063 3a05 1904 b601 4fb6 0150
0000040: 9900 25bb 0079 5912 a0b2 0083 1904 b601
0000050: 4fb6 0151 b800 8503 b700 7d3a 0619 0519
0000060: 06b6 0067 5719 04b6 014f b201 52b6 0153
0000070: 9900 2a19 04b6 014f b201 52b6 0154 c000
0000080: bd3a 0613 0155 1906 b800 bf3a 0719 07c6
0000090: 000b 1905 1907 b600 6757 1905 1904 b601
00000a0: 4fb8 00c0 b600 c157 2cbb 0156 59b2 0043
00000b0: 1904 b601 5719 04b6 0158 12d3 1905 b600
00000c0: c5b7 0159 b600 6757 a7ff 57b8 0063 4e2a
00000d0: b601 5ab9 0053 0100 3a04 1904 b900 5401
00000e0: 0099 0020 1904 b900 5501 00c0 015b 3a05
00000f0: 1905 b801 5c3a 062d 1906 b600 6757 a7ff
0000100: dc2a b601 5db9 0121 0100 3a04 1904 b900
0000110: 5401 0099 002c 1904 b900 5501 00c0 0074
0000120: 3a05 bb01 2259 b200 4312 d319 05b8 0123
0000130: b701 243a 062d 1906 b600 6757 a7ff d0b8
0000140: 0063 3a04 2ab6 015e b601 5f99 0025 bb00
0000150: 7959 1301 60b2 0083 2ab6 015e b601 61b8
0000160: 0085 03b7 007d 3a05 1904 1905 b600 6757
0000170: 2ab6 015e b601 6299 0024 bb00 7959 12a0
0000180: b200 832a b601 5eb6 0163 b800 8503 b700
0000190: 7d3a 0519 0419 05b6 0067 572a b601 5eb2
00001a0: 0164 b601 6599 0029 2ab6 015e b201 64b6
00001b0: 0166 c000 bd3a 0513 0167 1905 b800 bf3a
00001c0: 0619 06c6 000b 1904 1906 b600 6757 1904
00001d0: 2ab6 015e b800 c0b6 00c1 57bb 0168 59b2
00001e0: 0043 2b12 d319 04b6 00c5 2cb6 00c5 2db6
00001f0: 00c5 b701 69b0
Stackmap Table:
append_frame(@31,Object[#1106],Object[#1219],Object[#1170])
append_frame(@101,Object[#1336],Object[#1219])
same_frame(@154)
chop_frame(@203,3)
append_frame(@218,Object[#1219],Object[#1170])
chop_frame(@257,1)
append_frame(@268,Object[#1170])
chop_frame(@319,1)
append_frame(@368,Object[#1219])
same_frame(@411)
same_frame(@462)
at io.confluent.kafka.schemaregistry.protobuf.ProtobufSchemaProvider.parseSchemaOrElseThrow(ProtobufSchemaProvider.java:38)
at io.confluent.kafka.schemaregistry.SchemaProvider.parseSchema(SchemaProvider.java:75)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.parseSchema(CachedSchemaRegistryClient.java:301)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:340)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaBySubjectAndId(CachedSchemaRegistryClient.java:464)
at io.deephaven.kafka.ProtobufImpl.descriptor(ProtobufImpl.java:230)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:117)
at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:101)
at io.deephaven.kafka.KafkaTools.getConsumeStruct(KafkaTools.java:1257)
at io.deephaven.kafka.KafkaTools.consume(KafkaTools.java:1347)
at io.deephaven.kafka.KafkaTools.consumeToTable(KafkaTools.java:1020)
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Artifacts
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nightly-check-java11-ci-jvm-err
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3.25 MB |
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1.13 MB |
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1.13 MB |
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1.13 MB |
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1.13 MB |
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nightly-testParallel-java11-ci-results
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157 KB |
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nightly-testParallel-java17-ci-results
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158 KB |
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nightly-testParallel-java21-ci-results
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nightly-testParallel-java23-ci-results
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158 KB |
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893 KB |
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nightly-testSerial-java21-ci-results
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nightly-testSerial-java23-ci-results
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894 KB |
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