def stress_test(self):
for i in range(10):
spec = TopicSpec(partition_count=2,
cleanup_policy=TopicSpec.CLEANUP_COMPACT)
topic_name = spec.name
self.client().create_topic(spec)
producer = RpkProducer(self.test_context, self.redpanda,
topic_name, 1024, 100000)
producer.start()
metrics = [
MetricCheck(self.logger, self.redpanda, n,
'vectorized_storage_log_compacted_segment_total',
{}, sum) for n in self.redpanda.nodes
]
def check_compaction():
return all([
m.evaluate([
('vectorized_storage_log_compacted_segment_total',
lambda a, b: b > 3)
]) for m in metrics
])
wait_until(check_compaction,
timeout_sec=120,
backoff_sec=5,
err_msg="Segments were not compacted")
self.client().delete_topic(topic_name)
try:
producer.stop()
except:
# Should ignore exception form rpk
pass
producer.free()
def topic_storage_purged():
storage = self.redpanda.storage()
return all(
map(lambda n: topic_name not in n.ns["kafka"].topics,
storage.nodes))
try:
wait_until(lambda: topic_storage_purged(),
timeout_sec=60,
backoff_sec=2,
err_msg="Topic storage was not removed")
except:
# On errors, dump listing of the storage location
for node in self.redpanda.nodes:
self.logger.error(f"Storage listing on {node.name}:")
for line in node.account.ssh_capture(
f"find {self.redpanda.DATA_DIR}"):
self.logger.error(line.strip())
raise
