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Add Apache Parquet support for TensorFlow Dataset #19461
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Seeing compilation errors... In file included from external/arrow/cpp/src/arrow/buffer.h:28: |
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Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
…packages Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Thanks @skye for the review. The comment has been addressed. The current test is failing but that is due to a Bazel bug. I opened the issue in bazel: Can you take a look and see if the PR is OK? Once bazel is updated then all tests should pass I believe. |
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Bazel 0.17.1 has been released (bazelbuild/bazel#5059 (comment)) and it fixed the issue we are facing here. The tests in TF still use Bazel 0.15.0. A separate PR #22281 has been created to update Bazel to 0.17.1. /cc @gunan |
Nagging Assignee @case540: It has been 44 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
I'm removing myself as reviewer because I assume that we'll integrate this via SIG IO (where hopefully the same build issues won't be a problem!)... |
This PR has been migrated to tensorflow/io#21 with all builds pass. I will close this PR once tensorflow/io#21 is merged. |
Since tensorflow/io#21 has been merged. I will close this PR. Thanks everyone for the help! |
Apache Parquet is a widely used columnar storage format available in the Hadoop ecosystem.
This PR is a preliminary attempt to add Apache Parquet support for TensorFlow's Dataset API. It should help many to working on existing parquet-formatted big data with TesnorFlow.
The PR may not cover all the use cases though it could be served as a starting point for further improvement in the future.
The ParquetDataset depends on parquet-cpp (Apache) project as well as other dependencies (e.g, Thrift, etc.). The ParquetDataset only builds on Linux at the moment. This PR also adds the option in
./configure
so that those dependencies could be skipped.Signed-off-by: Yong Tang yong.tang.github@outlook.com