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chore: Updating versions of protobuf (all languages) and cpp dependent libraries #1044

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chore: Updating versions of protobuf (all languages) and cpp dependent libraries

chore: Updating versions of protobuf (all languages) and cpp dependent libraries #1044

Triggered via pull request September 17, 2024 02:28
@jcferrettijcferretti
synchronize #6069
Status Success
Total duration 11s
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3 errors
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.toMessage(Lcom/google/protobuf/DescriptorProtos$FileDescriptorProto;Lcom/google/protobuf/DescriptorProtos$DescriptorProto;)Lcom/squareup/wire/schema/internal/parser/MessageElement; @679: invokestatic Reason: Type 'com/google/protobuf/DescriptorProtos$MessageOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage' Current Frame: bci: @679 flags: { } locals: { 'com/google/protobuf/DescriptorProtos$FileDescriptorProto', 'com/google/protobuf/DescriptorProtos$DescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'java/util/LinkedHashMap', 'java/util/List', 'com/google/common/collect/ImmutableList$Builder' } stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$MessageOptions' } Bytecode: 0000000: 2bb6 010d 4db2 001e 1301 0e2c b901 0f03 0000010: 00b8 0063 4eb8 0063 3a04 b800 633a 05b8 0000020: 0063 3a06 bb00 c759 b700 c83a 072b b601 0000030: 10b9 0053 0100 3a08 1908 b900 5401 0099 0000040: 0020 1908 b900 5501 00c0 0111 3a09 1907 0000050: 1909 b601 12b8 0063 b601 1357 a7ff dcbb 0000060: 0114 5919 07b6 0115 b701 163a 082b b601 0000070: 17b9 0053 0100 3a09 1909 b900 5401 0099 0000080: 005b 1909 b900 5501 00c0 00c9 3a0a 190a 0000090: b601 1899 0034 190a b601 199a 002c 2a19 00000a0: 0a04 b800 ce3a 0b19 0819 0ab6 011a b900 00000b0: 7302 00c0 00d0 b900 d401 00c0 00cd 190b 00000c0: b600 6757 a700 132a 190a 03b8 00ce 3a0b 00000d0: 2d19 0bb6 0067 57a7 ffa1 2bb6 011b b900 00000e0: 5301 003a 0919 09b9 0054 0100 9900 2219 00000f0: 09b9 0055 0100 c000 653a 0a2a 190a b800 0000100: 663a 0b19 0419 0bb6 0067 57a7 ffda 2bb6 0000110: 011c b900 5301 003a 0919 09b9 0054 0100 0000120: 9900 2119 09b9 0055 0100 c000 693a 0a19 0000130: 0ab8 006a 3a0b 1904 190b b600 6757 a7ff 0000140: db2b b601 1db9 0053 0100 3a09 1909 b900 0000150: 5401 0099 0021 1909 b900 5501 00c0 011e 0000160: 3a0a 190a b801 1f3a 0b19 0519 0bb6 0067 0000170: 57a7 ffdb 2bb6 0120 b901 2101 003a 0919 0000180: 09b9 0054 0100 9900 2d19 09b9 0055 0100 0000190: c000 743a 0abb 0122 59b2 0043 12d3 190a 00001a0: b801 23b7 0124 3a0b 1905 190b b600 6757 00001b0: a7ff cf2b b601 25b9 0053 0100 3a09 1909 00001c0: b900 5401 0099 0021 1909 b900 5501 00c0 00001d0: 0126 3a0a 190a b801 273a 0b19 0619 0bb6 00001e0: 0067 57a7 ffdb b800 633a 092b b601 28b6 00001f0: 0129 9900 25bb 0079 5913 012a b200 832b 0000200: b601 28b6 012b b800 8503 b700 7d3a 0a19 0000210: 0919 0ab6 0067 572b b601 28b6 012c 9900 0000220: 24bb 0079 5912 a0b2 0083 2bb6 0128 b601 0000230: 2db8 0085 03b7 007d 3a0a 1909 190a b600 0000240: 6757 2bb6 0128 b601 2e99 0025 bb00 7959 0000250: 1301 2fb2 0083 2bb6 0128 b601 30b8 0085 0000260: 03b7 007d 3a0a 1909 190a b600 6757 2bb6 0000270: 0128 b201 31b6 0132 9900 292b b601 28b2 0000280: 0131 b601 33c0 00bd 3a0a 1301 3419 0ab8 0000290: 00bf 3a0b 190b c600 0b19 0919 0bb6 0067 00002a0: 5719 092b b601 28b8 00c0 b600 c157 2a2b 00002b0: b601 35b8 00c3 3a0a bb01 3659 b200 432c 00002c0: 12d3 1904 b600 c519 09b6 00c5 1905 b600 00002d0: c52d b600 c519 08b9 00e9 0100 ba01 3700 00002e0: 00b9 00eb 0200 ba01 3800 00b9 00d8 0200 00002f0: b800 dbb9 0017 0200 c000 dc19 06b6 00c5 0000300: b800 0419 0ab6 00c5 b701 39b0 Stackmap Table: full_frame(@56,{Object[#1220],Object[#1305],Object[#1106],Object[#1219],Object[#1219],Object[#1219],Object[#1219],Object[#1306],Object[#1170]},{}) chop_frame(@95,1) append_frame(@120,Object[#1107],Object[#1170]) append_frame(@199,Object[#1307]) chop_frame(@215,1) chop_frame(@218,1) append_frame(@229,Object[#1170]) chop_frame(@270,1) append_frame(@281,Object[#1170]) chop_frame(@321,1) append_frame(@332,Object[#1170]) chop_frame(@372,1) append_frame(@383,Object[#1170]) chop_frame(@435,1) append_frame(@446,Object[#1170]) chop_frame(@486,1) append_frame(@535,Object[#1219]) same_frame(@578) same_frame(@622) same_frame(@673) 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:231) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:118) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:102) at io.deephaven.kafka.KafkaTools.getConsumeStruct(KafkaTools.java:1257) at io.deephaven.kafka.KafkaTools.consume(KafkaTools.java:1347) at io.deephaven.kafka.KafkaTools.consumeToTable(KafkaTools.java:1020)
tests/test_kafka_consumer.py.test_protobuf_spec [include /foo /bar]: tests/test_kafka_consumer/KafkaConsumerTestCase#L1
failed to consume a Kafka stream. : RuntimeError: java.lang.VerifyError: Bad type on operand stack Traceback (most recent call last): File "/python/deephaven/stream/kafka/consumer.py", line 258, in _consume j_table=_JKafkaTools.consumeToTable( RuntimeError: java.lang.VerifyError: Bad type on operand stack Exception Details: Location: io/confluent/kafka/schemaregistry/protobuf/ProtobufSchema.toMessage(Lcom/google/protobuf/DescriptorProtos$FileDescriptorProto;Lcom/google/protobuf/DescriptorProtos$DescriptorProto;)Lcom/squareup/wire/schema/internal/parser/MessageElement; @679: invokestatic Reason: Type 'com/google/protobuf/DescriptorProtos$MessageOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage' Current Frame: bci: @679 flags: { } locals: { 'com/google/protobuf/DescriptorProtos$FileDescriptorProto', 'com/google/protobuf/DescriptorProtos$DescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'java/util/LinkedHashMap', 'java/util/List', 'com/google/common/collect/ImmutableList$Builder' } stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$MessageOptions' } Bytecode: 0000000: 2bb6 010d 4db2 001e 1301 0e2c b901 0f03 0000010: 00b8 0063 4eb8 0063 3a04 b800 633a 05b8 0000020: 0063 3a06 bb00 c759 b700 c83a 072b b601 0000030: 10b9 0053 0100 3a08 1908 b900 5401 0099 0000040: 0020 1908 b900 5501 00c0 0111 3a09 1907 0000050: 1909 b601 12b8 0063 b601 1357 a7ff dcbb 0000060: 0114 5919 07b6 0115 b701 163a 082b b601 0000070: 17b9 0053 0100 3a09 1909 b900 5401 0099 0000080: 005b 1909 b900 5501 00c0 00c9 3a0a 190a 0000090: b601 1899 0034 190a b601 199a 002c 2a19 00000a0: 0a04 b800 ce3a 0b19 0819 0ab6 011a b900 00000b0: 7302 00c0 00d0 b900 d401 00c0 00cd 190b 00000c0: b600 6757 a700 132a 190a 03b8 00ce 3a0b 00000d0: 2d19 0bb6 0067 57a7 ffa1 2bb6 011b b900 00000e0: 5301 003a 0919 09b9 0054 0100 9900 2219 00000f0: 09b9 0055 0100 c000 653a 0a2a 190a b800 0000100: 663a 0b19 0419 0bb6 0067 57a7 ffda 2bb6 0000110: 011c b900 5301 003a 0919 09b9 0054 0100 0000120: 9900 2119 09b9 0055 0100 c000 693a 0a19 0000130: 0ab8 006a 3a0b 1904 190b b600 6757 a7ff 0000140: db2b b601 1db9 0053 0100 3a09 1909 b900 0000150: 5401 0099 0021 1909 b900 5501 00c0 011e 0000160: 3a0a 190a b801 1f3a 0b19 0519 0bb6 0067 0000170: 57a7 ffdb 2bb6 0120 b901 2101 003a 0919 0000180: 09b9 0054 0100 9900 2d19 09b9 0055 0100 0000190: c000 743a 0abb 0122 59b2 0043 12d3 190a 00001a0: b801 23b7 0124 3a0b 1905 190b b600 6757 00001b0: a7ff cf2b b601 25b9 0053 0100 3a09 1909 00001c0: b900 5401 0099 0021 1909 b900 5501 00c0 00001d0: 0126 3a0a 190a b801 273a 0b19 0619 0bb6 00001e0: 0067 57a7 ffdb b800 633a 092b b601 28b6 00001f0: 0129 9900 25bb 0079 5913 012a b200 832b 0000200: b601 28b6 012b b800 8503 b700 7d3a 0a19 0000210: 0919 0ab6 0067 572b b601 28b6 012c 9900 0000220: 24bb 0079 5912 a0b2 0083 2bb6 0128 b601 0000230: 2db8 0085 03b7 007d 3a0a 1909 190a b600 0000240: 6757 2bb6 0128 b601 2e99 0025 bb00 7959 0000250: 1301 2fb2 0083 2bb6 0128 b601 30b8 0085 0000260: 03b7 007d 3a0a 1909 190a b600 6757 2bb6 0000270: 0128 b201 31b6 0132 9900 292b b601 28b2 0000280: 0131 b601 33c0 00bd 3a0a 1301 3419 0ab8 0000290: 00bf 3a0b 190b c600 0b19 0919 0bb6 0067 00002a0: 5719 092b b601 28b8 00c0 b600 c157 2a2b 00002b0: b601 35b8 00c3 3a0a bb01 3659 b200 432c 00002c0: 12d3 1904 b600 c519 09b6 00c5 1905 b600 00002d0: c52d b600 c519 08b9 00e9 0100 ba01 3700 00002e0: 00b9 00eb 0200 ba01 3800 00b9 00d8 0200 00002f0: b800 dbb9 0017 0200 c000 dc19 06b6 00c5 0000300: b800 0419 0ab6 00c5 b701 39b0 Stackmap Table: full_frame(@56,{Object[#1220],Object[#1305],Object[#1106],Object[#1219],Object[#1219],Object[#1219],Object[#1219],Object[#1306],Object[#1170]},{}) chop_frame(@95,1) append_frame(@120,Object[#1107],Object[#1170]) append_frame(@199,Object[#1307]) chop_frame(@215,1) chop_frame(@218,1) append_frame(@229,Object[#1170]) chop_frame(@270,1) append_frame(@281,Object[#1170]) chop_frame(@321,1) append_frame(@332,Object[#1170]) chop_frame(@372,1) append_frame(@383,Object[#1170]) chop_frame(@435,1) append_frame(@446,Object[#1170]) chop_frame(@486,1) append_frame(@535,Object[#1219]) same_frame(@578) same_frame(@622) same_frame(@673) 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:231) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:118) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:102) 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.toMessage(Lcom/google/protobuf/DescriptorProtos$FileDescriptorProto;Lcom/google/protobuf/DescriptorProtos$DescriptorProto;)Lcom/squareup/wire/schema/internal/parser/MessageElement; @679: invokestatic Reason: Type 'com/google/protobuf/DescriptorProtos$MessageOptions' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessageV3$ExtendableMessage' Current Frame: bci: @679 flags: { } locals: { 'com/google/protobuf/DescriptorProtos$FileDescriptorProto', 'com/google/protobuf/DescriptorProtos$DescriptorProto', 'java/lang/String', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'com/google/common/collect/ImmutableList$Builder', 'java/util/LinkedHashMap', 'java/util/List', 'com/google/common/collect/ImmutableList$Builder' } stack: { 'com/google/common/collect/ImmutableList$Builder', 'com/google/protobuf/DescriptorProtos$MessageOptions' } Bytecode: 0000000: 2bb6 010d 4db2 001e 1301 0e2c b901 0f03 0000010: 00b8 0063 4eb8 0063 3a04 b800 633a 05b8 0000020: 0063 3a06 bb00 c759 b700 c83a 072b b601 0000030: 10b9 0053 0100 3a08 1908 b900 5401 0099 0000040: 0020 1908 b900 5501 00c0 0111 3a09 1907 0000050: 1909 b601 12b8 0063 b601 1357 a7ff dcbb 0000060: 0114 5919 07b6 0115 b701 163a 082b b601 0000070: 17b9 0053 0100 3a09 1909 b900 5401 0099 0000080: 005b 1909 b900 5501 00c0 00c9 3a0a 190a 0000090: b601 1899 0034 190a b601 199a 002c 2a19 00000a0: 0a04 b800 ce3a 0b19 0819 0ab6 011a b900 00000b0: 7302 00c0 00d0 b900 d401 00c0 00cd 190b 00000c0: b600 6757 a700 132a 190a 03b8 00ce 3a0b 00000d0: 2d19 0bb6 0067 57a7 ffa1 2bb6 011b b900 00000e0: 5301 003a 0919 09b9 0054 0100 9900 2219 00000f0: 09b9 0055 0100 c000 653a 0a2a 190a b800 0000100: 663a 0b19 0419 0bb6 0067 57a7 ffda 2bb6 0000110: 011c b900 5301 003a 0919 09b9 0054 0100 0000120: 9900 2119 09b9 0055 0100 c000 693a 0a19 0000130: 0ab8 006a 3a0b 1904 190b b600 6757 a7ff 0000140: db2b b601 1db9 0053 0100 3a09 1909 b900 0000150: 5401 0099 0021 1909 b900 5501 00c0 011e 0000160: 3a0a 190a b801 1f3a 0b19 0519 0bb6 0067 0000170: 57a7 ffdb 2bb6 0120 b901 2101 003a 0919 0000180: 09b9 0054 0100 9900 2d19 09b9 0055 0100 0000190: c000 743a 0abb 0122 59b2 0043 12d3 190a 00001a0: b801 23b7 0124 3a0b 1905 190b b600 6757 00001b0: a7ff cf2b b601 25b9 0053 0100 3a09 1909 00001c0: b900 5401 0099 0021 1909 b900 5501 00c0 00001d0: 0126 3a0a 190a b801 273a 0b19 0619 0bb6 00001e0: 0067 57a7 ffdb b800 633a 092b b601 28b6 00001f0: 0129 9900 25bb 0079 5913 012a b200 832b 0000200: b601 28b6 012b b800 8503 b700 7d3a 0a19 0000210: 0919 0ab6 0067 572b b601 28b6 012c 9900 0000220: 24bb 0079 5912 a0b2 0083 2bb6 0128 b601 0000230: 2db8 0085 03b7 007d 3a0a 1909 190a b600 0000240: 6757 2bb6 0128 b601 2e99 0025 bb00 7959 0000250: 1301 2fb2 0083 2bb6 0128 b601 30b8 0085 0000260: 03b7 007d 3a0a 1909 190a b600 6757 2bb6 0000270: 0128 b201 31b6 0132 9900 292b b601 28b2 0000280: 0131 b601 33c0 00bd 3a0a 1301 3419 0ab8 0000290: 00bf 3a0b 190b c600 0b19 0919 0bb6 0067 00002a0: 5719 092b b601 28b8 00c0 b600 c157 2a2b 00002b0: b601 35b8 00c3 3a0a bb01 3659 b200 432c 00002c0: 12d3 1904 b600 c519 09b6 00c5 1905 b600 00002d0: c52d b600 c519 08b9 00e9 0100 ba01 3700 00002e0: 00b9 00eb 0200 ba01 3800 00b9 00d8 0200 00002f0: b800 dbb9 0017 0200 c000 dc19 06b6 00c5 0000300: b800 0419 0ab6 00c5 b701 39b0 Stackmap Table: full_frame(@56,{Object[#1220],Object[#1305],Object[#1106],Object[#1219],Object[#1219],Object[#1219],Object[#1219],Object[#1306],Object[#1170]},{}) chop_frame(@95,1) append_frame(@120,Object[#1107],Object[#1170]) append_frame(@199,Object[#1307]) chop_frame(@215,1) chop_frame(@218,1) append_frame(@229,Object[#1170]) chop_frame(@270,1) append_frame(@281,Object[#1170]) chop_frame(@321,1) append_frame(@332,Object[#1170]) chop_frame(@372,1) append_frame(@383,Object[#1170]) chop_frame(@435,1) append_frame(@446,Object[#1170]) chop_frame(@486,1) append_frame(@535,Object[#1219]) same_frame(@578) same_frame(@622) same_frame(@673) 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:231) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.setDescriptor(ProtobufImpl.java:118) at io.deephaven.kafka.ProtobufImpl$ProtobufConsumeImpl.getDeserializer(ProtobufImpl.java:102) 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)