Adam Hooper created ARROW-6861: ---------------------------------- Summary: With arrow-0.14.1-output Parquet dictionary column: Failure reading column: IOError: Arrow error: Invalid: Resize cannot downsize Key: ARROW-6861 URL: https://issues.apache.org/jira/browse/ARROW-6861 Project: Apache Arrow Issue Type: Bug Components: C++, Python Affects Versions: 0.15.0 Environment: debian:buster (in Docker, Linux 5.2.11-200.fc30.x86_64) Reporter: Adam Hooper Attachments: fix-dict-builder-capacity.diff
I'll need to jump through hoops to upload the (seemingly-valid) Parquet file that triggers this bug. In the meantime, here's the error I get, reading the Parquet file with read_dictionary=true. I'll start with the stack trace: {{Failure reading column: IOError: Arrow error: Invalid: Resize cannot downsize}} {{#0 0x0000000000b9fffd in __cxa_throw ()}} {{#1 0x00000000004ce7b5 in parquet::PlainByteArrayDecoder::DecodeArrow (this=0x555556612e50, num_values=67339, null_count=0, valid_bits=0x7f39a764b780 '\377' <repeats 200 times>..., valid_bits_offset=748544,}} \{{ builder=0x555556616330) at /src/apache-arrow-0.15.0/cpp/src/parquet/encoding.cc:886}} {{#2 0x000000000046d703 in parquet::internal::ByteArrayDictionaryRecordReader::ReadValuesSpaced (this=0x555556616260, values_to_read=67339, null_count=0)}} \{{ at /src/apache-arrow-0.15.0/cpp/src/parquet/column_reader.cc:1314}} {{#3 0x00000000004a13f8 in parquet::internal::TypedRecordReader<parquet::PhysicalType<(parquet::Type::type)6> >::ReadRecordData (this=0x555556616260, num_records=67339)}} \{{ at /src/apache-arrow-0.15.0/cpp/src/parquet/column_reader.cc:1096}} {{#4 0x0000000000493876 in parquet::internal::TypedRecordReader<parquet::PhysicalType<(parquet::Type::type)6> >::ReadRecords (this=0x555556616260, num_records=815883)}} \{{ at /src/apache-arrow-0.15.0/cpp/src/parquet/column_reader.cc:875}} {{#5 0x0000000000413955 in parquet::arrow::LeafReader::NextBatch (this=0x555556615640, records_to_read=815883, out=0x7ffd4b5afab0) at /src/apache-arrow-0.15.0/cpp/src/parquet/arrow/reader.cc:413}} {{#6 0x0000000000412081 in parquet::arrow::FileReaderImpl::ReadColumn (this=0x5555566067a0, i=7, row_groups=..., out=0x7ffd4b5afab0) at /src/apache-arrow-0.15.0/cpp/src/parquet/arrow/reader.cc:218}} {{#7 0x00000000004121b0 in parquet::arrow::FileReaderImpl::ReadColumn (this=0x5555566067a0, i=7, out=0x7ffd4b5afab0) at /src/apache-arrow-0.15.0/cpp/src/parquet/arrow/reader.cc:223}} {{#8 0x0000000000405fbd in readParquet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) ()}} And now a report of my gdb adventures: In Arrow 0.15.0, when reading a particular dictionary column ({{read_dictionaries=true}}) with 815883 rows that was written by Arrow 0.14.1, {{arrow::Dictionary32Builder<arrow::BinaryType>::AppendIndices(...)}} is called twice (once with 493568 values, once with 254976 values); and then {{PlainByteArrayDecoder::DecodeArrow()}} is called. (I'm a novice; I don't know why this column comes in three batches.) On first {{AppendIndices()}} call, the buffer capacity is equal to the number of values. On second call, that's no longer the case: the buffer grows using {{BufferBuilder::GrowByFactor}}, so its capacity is 987136. But there's a bug: the 987136-capacity buffer is in {{Dictionary32Builder::indices_builder_}}; so 987136 is stored in {{Dictionary32Builder::indices_builder_.capacity_}}. {{Dictionary32Builder::capacity_}} does not change when {{AppendIndices()}} is called. (Dictionary32Builder behaves like a proxy for its {{indices_builder_}}; but its {{capacity()}} method is not virtual, so things are messy.) So {{builder.capacity_}} is 0. Then comes the final batch of 67339 values, via {{DecodeArrow()}}. It calls {{builder->Reserve(num_values)}}. But {{builder->Reserve(num_values)}} tries to increase the capacity from 0 (its wrong, cached value) to {{length_ + num_values}} (815883). Since {{indicies_builder->capacity_}} is 987136, that's a downsize – which throws an exception. The only workaround I can find: use {{read_dictionaries=false}}. This affects Python, too. I've attached a patch that fixes the issue for my file. I don't know how to formulate a reduction, though, so I haven't contributed unit tests. I'm also not certain how FinishInternal is meant to work, so this definitely needs expert review. (FinishInternal was _definitely_ buggy before my patch; after my patch it _might_ be buggy but I don't know.) -- This message was sent by Atlassian Jira (v8.3.4#803005)