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test_checkpoint_sync.py
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1173 lines (1028 loc) · 42.2 KB
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import os
import random
import sys
import time
from typing import Optional
from uuid import UUID, uuid4
from feldera.enums import FaultToleranceModel, PipelineStatus
from feldera.runtime_config import RuntimeConfig, Storage
from feldera.testutils import (
FELDERA_TEST_NUM_HOSTS,
FELDERA_TEST_NUM_WORKERS,
single_host_only,
)
from tests import enterprise_only
from tests.shared_test_pipeline import SharedTestPipeline
from .helper import wait_for_condition
DEFAULT_ENDPOINT = os.environ.get(
"DEFAULT_MINIO_ENDPOINT", "http://minio.extra.svc.cluster.local:9000"
)
DEFAULT_BUCKET = os.environ.get("DEFAULT_MINIO_BUCKET", "default")
ACCESS_KEY = os.environ.get("MINIO_ACCESS_KEY", "minio")
SECRET_KEY = os.environ.get("MINIO_SECRET_KEY", "miniopasswd")
def storage_cfg(
pipeline_name: str,
endpoint: Optional[str] = None,
start_from_checkpoint: Optional[str] = None,
strict: bool = False,
auth_err: bool = False,
standby: bool = False,
pull_interval: int = 2,
push_interval: Optional[int] = None,
retention_min_count: int = 1,
retention_min_age: int = 0,
read_bucket: Optional[str] = None,
) -> dict:
sync: dict = {
"bucket": f"{DEFAULT_BUCKET}/{pipeline_name}",
"access_key": ACCESS_KEY,
"secret_key": SECRET_KEY if not auth_err else SECRET_KEY + "extra",
"provider": "Minio",
"endpoint": endpoint or DEFAULT_ENDPOINT,
"start_from_checkpoint": start_from_checkpoint,
"fail_if_no_checkpoint": strict,
"standby": standby,
"pull_interval": pull_interval,
"push_interval": push_interval,
"retention_min_count": retention_min_count,
"retention_min_age": retention_min_age,
}
if read_bucket is not None:
sync["read_bucket"] = read_bucket
return {
"backend": {
"name": "file",
"config": {
"sync": sync,
},
}
}
class TestCheckpointSync(SharedTestPipeline):
@enterprise_only
@single_host_only
def test_checkpoint_sync(
self,
from_uuid: bool = False,
random_uuid: bool = False,
clear_storage: bool = True,
auth_err: bool = False,
strict: bool = False,
expect_empty: bool = False,
standby: bool = False,
ft_interval: int = 60,
automated_checkpoint: bool = False,
automated_sync_interval: Optional[int] = None,
):
"""
CREATE TABLE t0 (c0 INT, c1 VARCHAR);
CREATE MATERIALIZED VIEW v0 AS SELECT * FROM t0;
"""
storage_config = storage_cfg(
self.pipeline.name,
push_interval=automated_sync_interval,
retention_min_count=1,
retention_min_age=5 if from_uuid else 0,
)
ft = FaultToleranceModel.AtLeastOnce
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
checkpoint_interval_secs=ft_interval,
)
)
self.pipeline.start()
random.seed(time.time())
total = random.randint(10, 20)
data = [{"c0": i, "c1": str(i)} for i in range(1, total)]
self.pipeline.input_json("t0", data)
self.pipeline.execute("INSERT INTO t0 VALUES (21, 'exists')")
start = time.monotonic()
timeout = 5
while True:
processed = self.pipeline.stats().global_metrics.total_processed_records
if processed == total:
break
if time.monotonic() - start > timeout:
raise TimeoutError(
f"timed out while waiting for pipeline to process {total} records"
)
time.sleep(0.1)
got_before = list(self.pipeline.query("SELECT * FROM v0"))
print(f"{self.pipeline.name}: records: {total}, {got_before}", file=sys.stderr)
if len(got_before) != processed:
raise RuntimeError(
f"adhoc query returned {len(got_before)} but {processed} records were processed: {got_before}"
)
chk_uuid = None
if not automated_checkpoint:
self.pipeline.checkpoint(wait=True)
else:
# Wait for at least one automated checkpoint to be created with current data.
chk_uuid_holder = {"value": None}
def checkpoint_created() -> bool:
chks = self.pipeline.checkpoints()
chk = next((x for x in chks if x.processed_records == processed), None)
if chk is None:
return False
chk_uuid_holder["value"] = chk.uuid
return True
wait_for_condition(
"automated checkpoint is created for current processed records",
checkpoint_created,
timeout_s=30.0,
poll_interval_s=0.5,
)
chk_uuid = chk_uuid_holder["value"]
print("Checkpoint UUID:", chk_uuid, file=sys.stderr)
time.sleep(1)
if automated_sync_interval is not None:
def checkpoint_sync_completed() -> bool:
try:
synced = self.pipeline.last_successful_checkpoint_sync()
print(
"Automatically synced checkpoint UUID:", synced, file=sys.stderr
)
if synced is not None and chk_uuid is not None:
if synced >= UUID(chk_uuid):
return True
return False
if synced is not None:
return True
return False
except RuntimeError:
return False
wait_for_condition(
"automated checkpoint sync completes",
checkpoint_sync_completed,
timeout_s=30.0,
poll_interval_s=0.5,
)
else:
uuid = self.pipeline.sync_checkpoint(wait=True)
print("Synced Checkpoint UUID:", uuid, file=sys.stderr)
if chk_uuid is not None:
assert UUID(uuid) >= UUID(chk_uuid)
self.pipeline.stop(force=True)
if clear_storage:
self.pipeline.clear_storage()
if random_uuid:
uuid = uuid4()
# Restart pipeline from checkpoint
storage_config = storage_cfg(
pipeline_name=self.pipeline.name,
start_from_checkpoint=uuid if from_uuid else "latest",
auth_err=auth_err,
strict=strict,
standby=standby,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
checkpoint_interval_secs=ft_interval,
)
)
if not standby:
self.pipeline.start()
else:
self.pipeline.start_standby()
# wait for the pipeline to initialize
start = time.monotonic()
# wait for a maximum of 120 seconds for the pipeline to provison
end = start + 120
# wait for the pipeline to finish provisoning
for log in self.pipeline.logs():
if "checkpoint pulled successfully" in log:
break
if time.monotonic() > end:
raise TimeoutError(
f"{self.pipeline.name} timed out waiting to pull checkpoint"
)
if standby:
assert self.pipeline.status() == PipelineStatus.STANDBY
self.pipeline.activate()
got_after = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: after: {len(got_after)}, {got_after}",
file=sys.stderr,
)
if expect_empty:
got_before = []
self.assertCountEqual(got_before, got_after)
self.pipeline.stop(force=True)
if clear_storage:
self.pipeline.clear_storage()
@enterprise_only
@single_host_only
def test_from_uuid(self):
self.test_checkpoint_sync(from_uuid=True)
@enterprise_only
@single_host_only
def test_without_clearing_storage(self):
self.test_checkpoint_sync(clear_storage=False)
@enterprise_only
@single_host_only
def test_automated_checkpoint(self):
self.test_checkpoint_sync(ft_interval=5, automated_checkpoint=True)
@enterprise_only
@single_host_only
def test_automated_checkpoint_sync(self):
self.test_checkpoint_sync(
ft_interval=5, automated_checkpoint=True, automated_sync_interval=10
)
@enterprise_only
@single_host_only
def test_automated_checkpoint_sync1(self):
self.test_checkpoint_sync(ft_interval=5, automated_sync_interval=10)
@enterprise_only
@single_host_only
def test_autherr_fail(self):
with self.assertRaisesRegex(RuntimeError, "SignatureDoesNotMatch|Forbidden"):
self.test_checkpoint_sync(auth_err=True, strict=True)
@enterprise_only
@single_host_only
def test_autherr(self):
with self.assertRaisesRegex(RuntimeError, "SignatureDoesNotMatch|Forbidden"):
self.test_checkpoint_sync(auth_err=True, strict=False)
@enterprise_only
@single_host_only
def test_nonexistent_checkpoint_fail(self):
with self.assertRaisesRegex(RuntimeError, "were not found in source"):
self.test_checkpoint_sync(random_uuid=True, from_uuid=True, strict=True)
@enterprise_only
@single_host_only
def test_nonexistent_checkpoint(self):
self.test_checkpoint_sync(
random_uuid=True, from_uuid=True, strict=False, expect_empty=True
)
@enterprise_only
@single_host_only
def test_standby_activation(self):
self.test_checkpoint_sync(standby=True)
@enterprise_only
@single_host_only
def test_standby_activation_from_uuid(self):
self.test_checkpoint_sync(standby=True, from_uuid=True)
@enterprise_only
@single_host_only
def test_standby_fallback(self, from_uuid: bool = False):
# Step 1: Start main pipeline
storage_config = storage_cfg(self.pipeline.name, retention_min_age=1)
ft = FaultToleranceModel.AtLeastOnce
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
# Insert initial data
random.seed(time.time())
total_initial = random.randint(10, 20)
data_initial = [{"c0": i, "c1": str(i)} for i in range(1, total_initial)]
self.pipeline.input_json("t0", data_initial)
self.pipeline.execute("INSERT INTO t0 VALUES (21, 'exists')")
self.pipeline.wait_for_completion()
got_before = list(self.pipeline.query("select * from v0"))
# Step 2: Create checkpoint and sync
self.pipeline.checkpoint(wait=True)
uuid = self.pipeline.sync_checkpoint(wait=True)
# Step 3: Start standby pipeline
standby = self.new_pipeline_with_suffix("standby")
pull_interval = 1
standby.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(
config=storage_cfg(
self.pipeline.name,
start_from_checkpoint=uuid if from_uuid else "latest",
standby=True,
pull_interval=pull_interval,
)
),
)
)
standby.start_standby()
# Wait until standby pulls the first checkpoint
start = time.monotonic()
end = start + 120
for log in standby.logs():
if "checkpoint pulled successfully" in log:
break
if time.monotonic() > end:
raise TimeoutError(
"Timed out waiting for standby pipeline to pull checkpoint"
)
# Step 4: Add more data and make 3-10 checkpoints
extra_ckpts = random.randint(3, 10)
total_additional = 0
for i in range(extra_ckpts):
new_val = 100 + i
new_data = [{"c0": new_val, "c1": f"extra_{new_val}"}]
self.pipeline.input_json("t0", new_data)
self.pipeline.wait_for_completion()
total_additional += 1
self.pipeline.checkpoint(wait=True)
self.pipeline.sync_checkpoint(wait=True)
time.sleep(0.2)
got_expected = (
got_before if from_uuid else list(self.pipeline.query("SELECT * FROM v0"))
)
print(
f"{self.pipeline.name}: final records before shutdown: {got_expected}",
file=sys.stderr,
)
# Step 5: Stop main and activate standby
self.pipeline.stop(force=True)
assert standby.status() == PipelineStatus.STANDBY
standby.activate(timeout_s=(pull_interval * extra_ckpts) + 60)
for log in standby.logs():
if "activated" in log:
break
if time.monotonic() > end:
raise TimeoutError("Timed out waiting for standby pipeline to activate")
got_after = list(standby.query("SELECT * FROM v0"))
# Cleanup
standby.stop(force=True)
# Step 6: Validate standby has all expected records
print(
f"{standby.name}: final records after activation: {got_after}",
file=sys.stderr,
)
self.assertCountEqual(got_expected, got_after)
standby.start()
got_final = list(standby.query("SELECT * FROM v0"))
standby.stop(force=True)
self.assertCountEqual(got_after, got_final)
self.pipeline.clear_storage()
@enterprise_only
@single_host_only
def test_standby_fallback_from_uuid(self):
self.test_standby_fallback(from_uuid=True)
# -------------------------------------------------------------------------
# Local checkpoint priority
# -------------------------------------------------------------------------
@enterprise_only
@single_host_only
def test_local_checkpoint_priority(self):
# After syncing checkpoint A to S3, taking a local-only checkpoint B
# (without syncing), and restarting without clearing storage,
# the pipeline must resume from checkpoint B (local), not re-download
# checkpoint A from S3.
ft = FaultToleranceModel.AtLeastOnce
storage_config = storage_cfg(self.pipeline.name, retention_min_count=2)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
# Insert data_a and sync checkpoint A to S3.
data_a = [{"c0": i, "c1": str(i)} for i in range(1, 11)]
self.pipeline.input_json("t0", data_a)
self.pipeline.wait_for_completion()
self.pipeline.checkpoint(wait=True)
self.pipeline.sync_checkpoint(wait=True)
# Insert data_b and take a local-only checkpoint B (no sync).
data_b = [{"c0": i, "c1": str(i)} for i in range(11, 21)]
self.pipeline.input_json("t0", data_b)
self.pipeline.wait_for_completion()
self.pipeline.checkpoint(wait=True)
# Intentionally NOT calling sync_checkpoint — remote still has A only.
expected = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: expected records (A+B): {len(expected)}",
file=sys.stderr,
)
# Stop without clearing storage — local checkpoint B is preserved.
self.pipeline.stop(force=True)
# Restart with start_from_checkpoint=latest and local storage intact.
# Expected: use local checkpoint B (has A+B data), skip remote pull.
storage_config = storage_cfg(
self.pipeline.name,
start_from_checkpoint="latest",
retention_min_count=2,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
got = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: got after restart: {len(got)}",
file=sys.stderr,
)
self.assertCountEqual(expected, got)
self.pipeline.stop(force=True)
self.pipeline.clear_storage()
# -------------------------------------------------------------------------
# read_bucket tests
# -------------------------------------------------------------------------
@enterprise_only
@single_host_only
def test_read_bucket(
self,
standby: bool = False,
from_uuid: bool = False,
):
# When bucket is empty but read_bucket holds a checkpoint, the pipeline
# seeds from read_bucket.
ft = FaultToleranceModel.AtLeastOnce
# Step 1: push a checkpoint to the source pipeline's bucket (becomes read_bucket).
source = self.new_pipeline_with_suffix("source")
source.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_cfg(source.name)),
)
)
source.start()
random.seed(time.time())
total = random.randint(10, 20)
data = [{"c0": i, "c1": str(i)} for i in range(1, total)]
source.input_json("t0", data)
source.wait_for_completion()
expected = list(source.query("SELECT * FROM v0"))
source.checkpoint(wait=True)
uuid = source.sync_checkpoint(wait=True)
source.stop(force=True)
source_bucket = f"{DEFAULT_BUCKET}/{source.name}"
# Step 2: start the main pipeline with an empty bucket and read_bucket
# pointing at the source.
storage_config = storage_cfg(
self.pipeline.name,
start_from_checkpoint=uuid if from_uuid else "latest",
read_bucket=source_bucket,
strict=True,
standby=standby,
pull_interval=2,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
if not standby:
self.pipeline.start()
else:
self.pipeline.start_standby()
try:
start = time.monotonic()
end = start + 120
for log in self.pipeline.logs():
if "checkpoint pulled successfully" in log:
break
if time.monotonic() > end:
raise TimeoutError(
"Timed out waiting for standby pipeline to pull from read_bucket"
)
assert self.pipeline.status() == PipelineStatus.STANDBY
self.pipeline.activate()
except Exception:
self.pipeline.stop(force=True)
raise
try:
got = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: expected={len(expected)}, got={len(got)}",
file=sys.stderr,
)
finally:
self.pipeline.stop(force=True)
self.assertCountEqual(expected, got)
self.pipeline.clear_storage()
source.clear_storage()
@enterprise_only
@single_host_only
def test_read_bucket_from_uuid(self):
# read_bucket fallback works when start_from_checkpoint is a UUID.
self.test_read_bucket(from_uuid=True)
@enterprise_only
@single_host_only
def test_read_bucket_standby(self):
# Standby pipeline seeds from read_bucket when bucket is empty.
self.test_read_bucket(standby=True)
@enterprise_only
@single_host_only
def test_read_bucket_standby_from_uuid(self):
# Standby pipeline seeds from read_bucket using a specific UUID.
self.test_read_bucket(standby=True, from_uuid=True)
@enterprise_only
@single_host_only
def test_bucket_preferred_over_read_bucket(self):
# When both bucket and read_bucket hold checkpoints, the pipeline uses
# bucket (its own checkpoint), not read_bucket.
ft = FaultToleranceModel.AtLeastOnce
# Step 1: push a checkpoint to the source pipeline (becomes read_bucket).
source = self.new_pipeline_with_suffix("source")
source.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_cfg(source.name)),
)
)
source.start()
data_source = [{"c0": i, "c1": f"source_{i}"} for i in range(1, 11)]
source.input_json("t0", data_source)
source.wait_for_completion()
source.checkpoint(wait=True)
source.sync_checkpoint(wait=True)
source.stop(force=True)
source_bucket = f"{DEFAULT_BUCKET}/{source.name}"
# Step 2: push a checkpoint to the main pipeline's own bucket.
storage_config = storage_cfg(self.pipeline.name)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
data_main = [{"c0": i, "c1": f"main_{i}"} for i in range(11, 21)]
self.pipeline.input_json("t0", data_main)
self.pipeline.wait_for_completion()
expected = list(self.pipeline.query("SELECT * FROM v0"))
self.pipeline.checkpoint(wait=True)
self.pipeline.sync_checkpoint(wait=True)
self.pipeline.stop(force=True)
self.pipeline.clear_storage()
# Step 3: restart with both bucket (has main data) and read_bucket (has
# source data). The pipeline should restore from bucket, not read_bucket.
storage_config = storage_cfg(
self.pipeline.name,
start_from_checkpoint="latest",
read_bucket=source_bucket,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
got = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: expected={len(expected)}, got={len(got)}",
file=sys.stderr,
)
# Must see main data only, not source data.
self.assertCountEqual(expected, got)
self.pipeline.stop(force=True)
self.pipeline.clear_storage()
source.clear_storage()
@enterprise_only
@single_host_only
def test_standby_bucket_takes_over_from_read_bucket(self):
# In standby mode, when bucket is initially empty the pipeline falls back
# to read_bucket. Once the main pipeline pushes a newer checkpoint to
# bucket, standby picks it up on the next poll.
ft = FaultToleranceModel.AtLeastOnce
pull_interval = 2
# Step 1: create the source pipeline (becomes read_bucket for standby).
source = self.new_pipeline_with_suffix("source")
source.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_cfg(source.name)),
)
)
source.start()
data_initial = [{"c0": i, "c1": f"initial_{i}"} for i in range(1, 11)]
source.input_json("t0", data_initial)
source.wait_for_completion()
source.checkpoint(wait=True)
source.sync_checkpoint(wait=True)
source.stop(force=True)
source_bucket = f"{DEFAULT_BUCKET}/{source.name}"
# Step 2: start the main pipeline; it will push newer checkpoints to
# its own bucket during the test.
storage_config = storage_cfg(self.pipeline.name)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
# Step 3: start the standby pipeline with empty bucket, read_bucket=source.
standby = self.new_pipeline_with_suffix("standby")
standby.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(
config=storage_cfg(
self.pipeline.name,
start_from_checkpoint="latest",
standby=True,
pull_interval=pull_interval,
read_bucket=source_bucket,
)
),
)
)
standby.start_standby()
# Wait for standby to pull at least one checkpoint (from read_bucket).
start = time.monotonic()
end = start + 120
for log in standby.logs():
if "checkpoint pulled successfully" in log:
break
if time.monotonic() > end:
raise TimeoutError(
"Timed out waiting for standby to pull from read_bucket"
)
# Step 4: main pipeline inserts data and pushes multiple checkpoints
# to its own bucket.
extra_ckpts = random.randint(3, 6)
for i in range(extra_ckpts):
new_data = [{"c0": 100 + i, "c1": f"main_{100 + i}"}]
self.pipeline.input_json("t0", new_data)
self.pipeline.wait_for_completion()
self.pipeline.checkpoint(wait=True)
self.pipeline.sync_checkpoint(wait=True)
time.sleep(0.2)
expected = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: expected records after main pushes: {len(expected)}",
file=sys.stderr,
)
self.pipeline.stop(force=True)
# Step 5: activate standby — it should have tracked the latest bucket
# checkpoint by now.
try:
assert standby.status() == PipelineStatus.STANDBY
standby.activate(timeout_s=(pull_interval * extra_ckpts) + 60)
start = time.monotonic()
end = start + 120
for log in standby.logs():
if "activated" in log:
break
if time.monotonic() > end:
raise TimeoutError("Timed out waiting for standby to activate")
got = list(standby.query("SELECT * FROM v0"))
print(
f"{standby.name}: got after activation: {len(got)}",
file=sys.stderr,
)
finally:
standby.stop(force=True)
self.assertCountEqual(expected, got)
standby.clear_storage()
self.pipeline.clear_storage()
source.clear_storage()
# -------------------------------------------------------------------------
# Additional local-priority and read_bucket tests
# -------------------------------------------------------------------------
@enterprise_only
@single_host_only
def test_local_checkpoint_priority_from_uuid(self):
# The local-first code path for UUID differs from `latest`; verify it
# independently. When start_from_checkpoint is a UUID that exists only
# in local storage (never synced to remote), the pipeline must restore
# from that local checkpoint without attempting a remote pull.
ft = FaultToleranceModel.AtLeastOnce
storage_config = storage_cfg(self.pipeline.name, retention_min_count=2)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
# Insert data_a and sync checkpoint A to remote.
data_a = [{"c0": i, "c1": str(i)} for i in range(1, 11)]
self.pipeline.input_json("t0", data_a)
self.pipeline.wait_for_completion()
self.pipeline.checkpoint(wait=True)
self.pipeline.sync_checkpoint(wait=True)
# Insert data_b and take a local-only checkpoint B (no remote sync).
data_b = [{"c0": i, "c1": str(i)} for i in range(11, 21)]
self.pipeline.input_json("t0", data_b)
self.pipeline.wait_for_completion()
self.pipeline.checkpoint(wait=True)
# Intentionally NOT calling sync_checkpoint — remote only has checkpoint A.
# UUID of checkpoint B (the newest local checkpoint, not in remote).
chks = self.pipeline.checkpoints()
local_uuid = max(chks, key=lambda c: c.uuid).uuid
expected = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: expected (A+B): {len(expected)}",
file=sys.stderr,
)
# Stop without clearing storage so checkpoint B remains on disk.
self.pipeline.stop(force=True)
# Restart specifying the UUID of the local-only checkpoint B.
# If local-first is broken the pipeline would try remote, fail (strict=False),
# and start fresh — the assertCountEqual below would then catch the regression.
storage_config = storage_cfg(
self.pipeline.name,
start_from_checkpoint=local_uuid,
retention_min_count=2,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
got = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: got after restart: {len(got)}",
file=sys.stderr,
)
self.pipeline.stop(force=True)
self.assertCountEqual(expected, got)
self.pipeline.clear_storage()
@enterprise_only
@single_host_only
def test_local_priority_over_read_bucket(self):
# Local checkpoint wins over read_bucket even when the primary S3 bucket
# is empty. Priority order: local > bucket > read_bucket.
ft = FaultToleranceModel.AtLeastOnce
# Step 1: source pipeline creates a checkpoint (will become read_bucket).
source = self.new_pipeline_with_suffix("source")
source.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_cfg(source.name)),
)
)
source.start()
data_source = [{"c0": i, "c1": f"source_{i}"} for i in range(1, 11)]
source.input_json("t0", data_source)
source.wait_for_completion()
source.checkpoint(wait=True)
source.sync_checkpoint(wait=True)
source.stop(force=True)
source_bucket = f"{DEFAULT_BUCKET}/{source.name}"
# Step 2: main pipeline takes a LOCAL-ONLY checkpoint (never synced).
# Its own S3 bucket stays empty, ensuring the only remote source of data
# is read_bucket.
storage_config = storage_cfg(self.pipeline.name)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
data_main = [{"c0": i, "c1": f"main_{i}"} for i in range(11, 21)]
self.pipeline.input_json("t0", data_main)
self.pipeline.wait_for_completion()
expected = list(self.pipeline.query("SELECT * FROM v0"))
self.pipeline.checkpoint(wait=True)
# Intentionally NOT syncing — main bucket stays empty.
self.pipeline.stop(force=True)
print(
f"{self.pipeline.name}: expected (main data only): {len(expected)}",
file=sys.stderr,
)
# Step 3: restart with start_from=latest, empty bucket, read_bucket=source.
# Local storage has main's checkpoint. Local must win over read_bucket.
# If local-first is broken, read_bucket would be used and we'd see
# source data instead of main data.
storage_config = storage_cfg(
self.pipeline.name,
start_from_checkpoint="latest",
read_bucket=source_bucket,
)
self.pipeline.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_config),
)
)
self.pipeline.start()
got = list(self.pipeline.query("SELECT * FROM v0"))
print(
f"{self.pipeline.name}: got after restart: {len(got)}",
file=sys.stderr,
)
self.pipeline.stop(force=True)
self.assertCountEqual(expected, got)
self.pipeline.clear_storage()
source.clear_storage()
@enterprise_only
@single_host_only
def test_local_priority_over_read_bucket_from_uuid(self):
# UUID variant of test_local_priority_over_read_bucket.
# When a specific UUID exists only in local storage (bucket empty,
# read_bucket has a different checkpoint), local must win.
# Exercises read_local_checkpoint_by_uuid rather than
# read_local_latest_checkpoint.
ft = FaultToleranceModel.AtLeastOnce
# Step 1: source pipeline creates a checkpoint (will become read_bucket).
source = self.new_pipeline_with_suffix("source")
source.set_runtime_config(
RuntimeConfig(
workers=FELDERA_TEST_NUM_WORKERS,
hosts=FELDERA_TEST_NUM_HOSTS,
fault_tolerance_model=ft,
storage=Storage(config=storage_cfg(source.name)),
)
)
source.start()
data_source = [{"c0": i, "c1": f"source_{i}"} for i in range(1, 11)]