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- ARROW-7112
Wrong contents when initializinga pyarrow.Table from boolean DataFrame - ARROW-6796
Certain moderately-sized (~100MB) default-Snappy-compressed Parquet files take enormous memory and long time to load by pyarrow.parquet.read_table - ARROW-6748
[RUBY] gem compilation error - ARROW-6641
[C++] Remove Deprecated WriteableFile warning - ARROW-6620
[Python][CI] pandas-master build failing due to removal of "to_sparse" method - ARROW-6586
[Python][Packaging] Windows wheel builds failing with "DLL load failure" - ARROW-6551
[Python] Dask Parquet integration test failure - ARROW-6442
[CI][Crossbow] Nightly gandiva jar osx build fails - ARROW-6430
[CI][Crossbow] Nightly R docker job fails - ARROW-6425
[C++] ValidateArray fail for slice of list array - ARROW-6417
[C++][Parquet] Non-dictionary BinaryArray reads from Parquet format have slowed down since 0.11.x - ARROW-6395
[Python] Bug when using bool arrays with stride greater than 1 - ARROW-6295
[Rust][DataFusion] ExecutionError Cannot compare Float32 with Float64 - ARROW-6293
[Rust] datafusion 0.15.0-SNAPSHOT error - ARROW-6255
[Rust] [Parquet] Cannot use any published parquet crate due to parquet-format breaking change - ARROW-6168
[C++] IWYU docker-compose job is broken - ARROW-6119
[Python] PyArrow wheel import fails on Windows Python 3.7 - ARROW-6102
[Testing] Add partitioned CSV file to arrow-testing repo - ARROW-6059
[Python] Regression memory issue when calling pandas.read_parquet - ARROW-5993
[Python] Reading a dictionary column from Parquet results in disproportionate memory usage - ARROW-5965
[Python] Regression: segfault when reading hive table with v0.14 - ARROW-5337
[C++] Add RecordBatch::field method, possibly deprecate "column" - ARROW-5161
[Python] Cannot convert struct type from Pandas object column - ARROW-5103
[Python] Segfault when using chunked_array.to_pandas on array different types (edge case) - ARROW-5072
[Python] write_table fails silently on S3 errors - ARROW-4860
[C++] Build AWS C++ SDK for Windows in conda-forge - ARROW-2431
[Rust] Schema fidelity - ARROW-2248
[Python] Nightly or on-demand HDFS test builds - ARROW-2041
[Python] pyarrow.serialize has high overhead for list of NumPy arrays - ARROW-2006
[C++] Add option to trim excess padding when writing IPC messages
{"errorMessages":["jqlTooComplex"],"errors":{}}
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0.3
0