Add read_avro and list_avro_columns for rework on Splittable Avro support#399
Merged
yongtang merged 1 commit intotensorflow:masterfrom Aug 4, 2019
Merged
Add read_avro and list_avro_columns for rework on Splittable Avro support#399yongtang merged 1 commit intotensorflow:masterfrom
yongtang merged 1 commit intotensorflow:masterfrom
Conversation
…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]>
Member
Author
|
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). |
i-ony
pushed a commit
to i-ony/io
that referenced
this pull request
Feb 8, 2021
…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]>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
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]