Add read_avro and list_avro_columns for rework on Splittable Avro support #399
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…port This PR is part of the effort to rework on Dataset with large files reading into Tensors first to speed up performance. See 382 and 366 for related discussions. Summary: 1) read_avro is able to read a avro file within the range of [offset, offset+length] (Splittable) 2) we use primitive read_avro C++ ops to read in big chunks and then wire up with tf.data.Dataset 3) read_avro could be used in other places. 4) AvroDataset automatically find out the dtype in eager mode, in graph mode, user has to specify the dtype in kwargs. Signed-off-by: Yong Tang <[email protected]>
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Also plan to merge this PR, as it exposes a primitive op (read_avro) which could be more useful than dataset (unless directly passed to tf.keras). |
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…port (tensorflow#399) This PR is part of the effort to rework on Dataset with large files reading into Tensors first to speed up performance. See 382 and 366 for related discussions. Summary: 1) read_avro is able to read a avro file within the range of [offset, offset+length] (Splittable) 2) we use primitive read_avro C++ ops to read in big chunks and then wire up with tf.data.Dataset 3) read_avro could be used in other places. 4) AvroDataset automatically find out the dtype in eager mode, in graph mode, user has to specify the dtype in kwargs. Signed-off-by: Yong Tang <[email protected]>
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This PR is part of the effort to rework on Dataset with large files reading into Tensors first to speed up performance. See #382 and #366 for related discussions.
Summary:
to specify the dtype in kwargs.
Signed-off-by: Yong Tang [email protected]