[Pytables-users] concurrent accesses

[Ben E. <bj...@ai...>]

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