Comments (5)
yongtang
commented on June 13, 2024
/cc @dmitrievanthony The CI failure is flaky so I am wondering if the issue could be that //tensorflow_io/ignite:ignite_py_test and //tensorflow_io/ignite:igfs_py_test could not run concurrently?
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dmitrievanthony
commented on June 13, 2024
Thanks, @yongtang. These tests can run concurrently, I think the root cause is another. Actually, when I start Ignite in Docker container I can't easily understand outside if Ignite is ready or not and I just wait for 5 seconds. Looks like 5 seconds waiting is not the best choice.
Let me think a bit about it, I'll check if it's possible to ensure that Ignite is ready without waiting. Meanwhile, if this fails are frequent I can increase the waiting period.
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dmitrievanthony
commented on June 13, 2024
BTW, do you know if it's possible to download raw log from our Travis without special characters? Currently I see the raw log like this:
travis_fold:start:worker_info
�[0K�[33;1mWorker information�[0m
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yongtang
commented on June 13, 2024
Thanks @dmitrievanthony for looking into the issue. I created a PR #35 which enables ignite test, and also --test_output=errors in bazel command so that the errors could be shown in the Travis logs.
From Travis CI it looks like the following error(in python 2.7) will show up:
======================================================================
ERROR: test_ignite_dataset_with_plain_client (__main__.IgniteDatasetTest)
Test Ignite Dataset with plain client.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/.cache/bazel/_bazel_travis/50a9fc5d0e0cf7fe188c59f2e8fe814c/sandbox/linux-sandbox/854/execroot/__main__/bazel-out/k8-fastbuild/bin/tensorflow_io/ignite/ignite_py_test.runfiles/__main__/tensorflow_io/ignite/python/tests/ignite_dataset_test.py", line 47, in test_ignite_dataset_with_plain_client
ds = IgniteDataset(cache_name="SQL_PUBLIC_TEST_CACHE", port=42300)
File "/home/travis/.cache/bazel/_bazel_travis/50a9fc5d0e0cf7fe188c59f2e8fe814c/sandbox/linux-sandbox/854/execroot/__main__/bazel-out/k8-fastbuild/bin/tensorflow_io/ignite/ignite_py_test.runfiles/__main__/tensorflow_io/ignite/python/ops/ignite_dataset_ops.py", line 745, in __init__
self.cache_type = client.get_cache_type(cache_name)
File "/home/travis/.cache/bazel/_bazel_travis/50a9fc5d0e0cf7fe188c59f2e8fe814c/sandbox/linux-sandbox/854/execroot/__main__/bazel-out/k8-fastbuild/bin/tensorflow_io/ignite/ignite_py_test.runfiles/__main__/tensorflow_io/ignite/python/ops/ignite_dataset_ops.py", line 439, in get_cache_type
"Scan Query Error [status=%s, message='%s']" % (status, err_msg))
RuntimeError: Scan Query Error [status=1000, message='Cache does not exist [cacheId= -919715654]']
----------------------------------------------------------------------
Ran 2 tests in 0.097s
FAILED (errors=1)
================================================================================
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yongtang
commented on June 13, 2024
With the PR #37 merged, this issue has been fix, so closing.
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