My reading of the PyTables FAQ is that concurrent read access should
be safe with PyTables. However, when using a pool of worker processes
to read different parts of a large blosc-compressed CArray, I see:
HDF5-DIAG: Error detected in HDF5 (1.8.8) thread 140476163647232:
#000: ../../../src/H5Dio.c line 174 in H5Dread(): can't read data
major: Dataset
minor: Read failed
#001: ../../../src/H5Dio.c line 448 in H5D_read(): can't read data
major: Dataset
minor: Read failed
etc.
Am I misunderstanding something?
Thanks,
Ben
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