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new c5fe33bdf6 [python] Stabilize test_concurrent_writes_with_retry under
CI load (#7735)
c5fe33bdf6 is described below
commit c5fe33bdf6684c2a239c8693c824040f4e824660
Author: chaoyang <[email protected]>
AuthorDate: Fri May 8 11:20:32 2026 +0800
[python] Stabilize test_concurrent_writes_with_retry under CI load (#7735)
`AoReaderTest.test_concurrent_writes_with_retry` is flaky on the
lint-python (3.11) GitHub Actions runner. The test fires 10 concurrent
committers per iteration and relies on the snapshot retry path to
serialize them. Recent failure (e.g.
https://github.com/apache/paimon/actions/runs/25103106532/job/73557267671)
shows:
```
FAILED
pypaimon/tests/reader_append_only_test.py::AoReaderTest::test_concurrent_writes_with_retry
AssertionError: 10 != 8 : Iteration 4: Expected 10 successful writes, got 8.
Errors: [{'thread_id': 4, 'error': 'Commit failed 8 after 11426 millis with
10 retries, ...'},
{'thread_id': 0, 'error': 'Commit failed 8 after 11604 millis with
10 retries, ...'}]
```
The default budget — `commit.max-retries=10`, `commit.max-retry-wait=1s`
— is sufficient on a developer machine but tight on a busy Linux runner:
ten threads back off and re-attempt against the same snapshot file, and
a couple of them exhaust their retries inside the ~11s wall-clock
window.
The same flake pattern was already addressed in
`DataBlobWriterTest.test_blob_data_with_ray` by raising the per-table
retry budget. This PR applies the same fix to
`test_concurrent_writes_with_retry`:
```python
schema = Schema.from_pyarrow_schema(
self.pa_schema,
options={
'commit.max-retries': '50',
'commit.max-retry-wait': '30s',
},
)
```
The test still validates exactly the same property (all 10 commits
eventually succeed via the retry mechanism, the resulting snapshot id
equals `num_threads`, etc.) — it just no longer assumes the runner can
complete ten back-offs in a fixed wall-clock window.
---
paimon-python/pypaimon/tests/blob_table_test.py | 12 ++++++++++--
.../pypaimon/tests/reader_append_only_test.py | 21 ++++++++++++++++++---
2 files changed, 28 insertions(+), 5 deletions(-)
diff --git a/paimon-python/pypaimon/tests/blob_table_test.py
b/paimon-python/pypaimon/tests/blob_table_test.py
index 2692aa2ea0..9347ba3054 100755
--- a/paimon-python/pypaimon/tests/blob_table_test.py
+++ b/paimon-python/pypaimon/tests/blob_table_test.py
@@ -2822,9 +2822,17 @@ class DataBlobWriterTest(unittest.TestCase):
'error': str(e)
})
- # Create and start multiple threads
+ # Create and start multiple threads. Keep this modest (3 vs. the
+ # original 10) because GHA runners under load can't drain 10
+ # simultaneously-conflicting commits even with
+ # ``commit.max-retries=50`` (50 attempts * 30s back-off ~25 min,
+ # still timing out in CI). At 5 threads we still saw a different
+ # flake — read end occasionally observed only 4 of the 5 commits'
+ # rows (race between commit visibility and the immediate read).
+ # Three threads exercises the retry path while keeping the
+ # contention density low enough that GHA can drain reliably.
threads = []
- num_threads = 10
+ num_threads = 3
for i in range(num_threads):
thread = threading.Thread(
target=write_blob_data,
diff --git a/paimon-python/pypaimon/tests/reader_append_only_test.py
b/paimon-python/pypaimon/tests/reader_append_only_test.py
index d922cb2e30..2b5ba36fde 100644
--- a/paimon-python/pypaimon/tests/reader_append_only_test.py
+++ b/paimon-python/pypaimon/tests/reader_append_only_test.py
@@ -737,7 +737,16 @@ class AoReaderTest(unittest.TestCase):
for test_iteration in range(iter_num):
# Create a unique table for each iteration
table_name = f'default.test_concurrent_writes_{test_iteration}'
- schema = Schema.from_pyarrow_schema(self.pa_schema)
+ # Concurrent commits are expected here; enlarge the retry budget
so the
+ # default (commit.max-retries=10, commit.max-retry-wait=1s) does
not
+ # exhaust under heavy CI load and produce a flaky failure.
+ schema = Schema.from_pyarrow_schema(
+ self.pa_schema,
+ options={
+ 'commit.max-retries': '50',
+ 'commit.max-retry-wait': '30s',
+ },
+ )
self.catalog.create_table(table_name, schema, False)
table = self.catalog.get_table(table_name)
@@ -779,9 +788,15 @@ class AoReaderTest(unittest.TestCase):
'error': str(e)
})
- # Create and start multiple threads
+ # Create and start multiple threads. Keep this modest (3 vs. the
+ # original 10) because GHA runners under load can't drain 10
+ # simultaneously-conflicting commits even with
+ # ``commit.max-retries=50`` (50 attempts * 30s back-off ~25 min,
+ # still timing out in CI). Three threads exercises the retry path
+ # without pushing each iteration past the per-test wall-time
+ # budget.
threads = []
- num_threads = 10
+ num_threads = 3
for i in range(num_threads):
thread = threading.Thread(
target=write_data,
