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There are quite some interests to support parquet for tensorflow and a PR (tensorflow/tensorflow#19461) has already been approved.
With the expected deprecation of tf.contrib, it makes sense to move PR tensorflow/tensorflow#19461 to tensorflow-io.
At the moment the blocking issue with the related PR is the bazel version. The PR requires bazel 1.7.1+ to incorporate boost library while tensorflow CI still uses bazel 1.5.0. We will need to find out a way to work out the bazel version issue. See tensorflow/tensorflow#22449, tensorflow/tensorflow#22964 for details.
The text was updated successfully, but these errors were encountered:
* feat: reading from bigtable (#2)
Implements reading from bigtable in a synchronous manner.
* feat: RowRange and RowSet API.
* feat: parallel read (#4)
In this pr we make the read methods accept a row_set reading only rows specified by the user.
We also add a parallel read, that leverages the sample_row_keys method to split work among workers.
* feat: version filters (#6)
This PR adds support for Bigtable version filters.
* feat: support for other data types (#5)
* fix: linter fixes (#8)
* feat docs (#9)
* fix: building on windows (#12)
* fix: refactor bigtable package to api folder (#14)
moved bigtable to tfensorflow_io.python.api
* fix: tests hanging (#30)
changed path to bigtable emulator and cbt in tests
moved arguments' initializations to the body of the function in bigtable_ops.py
fixed interleaveFromRange of column filters when using only one column
* fix: temporarily disable macos tests (#32)
* disable tests on macos
Co-authored-by: Kajetan Boroszko <kajetan@unoperate.com>
Co-authored-by: Kajetan Boroszko <kajetan.boroszko@gmail.com>
There are quite some interests to support parquet for tensorflow and a PR (tensorflow/tensorflow#19461) has already been approved.
With the expected deprecation of
tf.contrib
, it makes sense to move PR tensorflow/tensorflow#19461 to tensorflow-io.At the moment the blocking issue with the related PR is the bazel version. The PR requires bazel 1.7.1+ to incorporate boost library while tensorflow CI still uses bazel 1.5.0. We will need to find out a way to work out the bazel version issue. See tensorflow/tensorflow#22449, tensorflow/tensorflow#22964 for details.
The text was updated successfully, but these errors were encountered: