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https://github.com/ClickHouse/ClickHouse.git
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300 lines
8.7 KiB
Python
300 lines
8.7 KiB
Python
import logging
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import os
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import time
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import pytest
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from helpers.client import QueryRuntimeException
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from helpers.cluster import ClickHouseCluster
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# Runs custom python-based S3 endpoint.
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def run_endpoint(cluster):
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logging.info("Starting custom S3 endpoint")
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container_id = cluster.get_container_id("resolver")
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current_dir = os.path.dirname(__file__)
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cluster.copy_file_to_container(
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container_id,
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os.path.join(current_dir, "s3_endpoint", "endpoint.py"),
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"endpoint.py",
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)
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cluster.exec_in_container(container_id, ["python", "endpoint.py"], detach=True)
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# Wait for S3 endpoint start
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num_attempts = 100
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for attempt in range(num_attempts):
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ping_response = cluster.exec_in_container(
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cluster.get_container_id("resolver"),
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["curl", "-s", "http://resolver:8080/"],
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nothrow=True,
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)
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if ping_response != "OK":
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if attempt == num_attempts - 1:
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assert ping_response == "OK", 'Expected "OK", but got "{}"'.format(
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ping_response
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)
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else:
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time.sleep(1)
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else:
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break
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logging.info("S3 endpoint started")
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def fail_request(cluster, request):
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response = cluster.exec_in_container(
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cluster.get_container_id("resolver"),
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["curl", "-s", "http://resolver:8080/fail_request/{}".format(request)],
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)
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assert response == "OK", 'Expected "OK", but got "{}"'.format(response)
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def throttle_request(cluster, request):
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response = cluster.exec_in_container(
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cluster.get_container_id("resolver"),
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["curl", "-s", "http://resolver:8080/throttle_request/{}".format(request)],
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)
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assert response == "OK", 'Expected "OK", but got "{}"'.format(response)
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@pytest.fixture(scope="module")
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def cluster():
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try:
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cluster = ClickHouseCluster(__file__)
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cluster.add_instance(
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"node",
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main_configs=[
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"configs/config.d/storage_conf.xml",
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"configs/config.d/instant_moves.xml",
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"configs/config.d/part_log.xml",
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],
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with_minio=True,
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)
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logging.info("Starting cluster...")
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cluster.start()
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logging.info("Cluster started")
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run_endpoint(cluster)
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yield cluster
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finally:
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cluster.shutdown()
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@pytest.fixture(autouse=True)
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def drop_table(cluster):
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yield
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node = cluster.instances["node"]
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node.query("DROP TABLE IF EXISTS s3_failover_test SYNC")
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# S3 request will be failed for an appropriate part file write.
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FILES_PER_PART_BASE = 6 # partition.dat, metadata_version.txt, default_compression_codec.txt, count.txt, columns.txt, checksums.txt
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FILES_PER_PART_WIDE = (
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FILES_PER_PART_BASE + 1 + 1 + 3 * 2
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) # Primary index, MinMax, Mark and data file for column(s)
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# In debug build there are additional requests (from MergeTreeDataPartWriterWide.cpp:554 due to additional validation).
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FILES_PER_PART_WIDE_DEBUG = 2 # Additional requests to S3 in debug build
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FILES_PER_PART_COMPACT = FILES_PER_PART_BASE + 1 + 1 + 2
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FILES_PER_PART_COMPACT_DEBUG = 0
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@pytest.mark.parametrize(
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"min_bytes_for_wide_part,request_count,debug_request_count",
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[
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(0, FILES_PER_PART_WIDE, FILES_PER_PART_WIDE_DEBUG),
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(1024 * 1024, FILES_PER_PART_COMPACT, FILES_PER_PART_COMPACT_DEBUG),
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],
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)
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def test_write_failover(
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cluster, min_bytes_for_wide_part, request_count, debug_request_count
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):
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node = cluster.instances["node"]
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node.query(
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"""
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CREATE TABLE s3_failover_test (
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dt Date,
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id Int64,
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data String
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) ENGINE=MergeTree()
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ORDER BY id
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PARTITION BY dt
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SETTINGS storage_policy='s3', min_bytes_for_wide_part={}
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""".format(
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min_bytes_for_wide_part
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)
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)
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is_debug_mode = False
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success_count = 0
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for request in range(request_count + debug_request_count + 1):
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# Fail N-th request to S3.
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fail_request(cluster, request + 1)
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data = "('2020-03-01',0,'data'),('2020-03-01',1,'data')"
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positive = request >= (
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request_count + debug_request_count if is_debug_mode else request_count
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)
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try:
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node.query("INSERT INTO s3_failover_test VALUES {}".format(data))
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assert positive, "Insert query should be failed, request {}".format(request)
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success_count += 1
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except QueryRuntimeException as e:
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if not is_debug_mode and positive:
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is_debug_mode = True
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positive = False
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assert not positive, "Insert query shouldn't be failed, request {}".format(
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request
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)
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assert str(e).find("Expected Error") != -1, "Unexpected error {}".format(
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str(e)
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)
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if positive:
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# Disable request failing.
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fail_request(cluster, 0)
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assert node.query("CHECK TABLE s3_failover_test") == "1\n"
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assert (
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success_count > 1
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or node.query("SELECT * FROM s3_failover_test FORMAT Values") == data
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)
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assert success_count == (
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1 if is_debug_mode else debug_request_count + 1
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), "Insert query should be successful at least once"
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# Check that second data part move is ended successfully if first attempt was failed.
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def test_move_failover(cluster):
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node = cluster.instances["node"]
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node.query(
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"""
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CREATE TABLE s3_failover_test (
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dt DateTime,
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id Int64,
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data String
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) ENGINE=MergeTree()
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ORDER BY id
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TTL dt + INTERVAL 4 SECOND TO VOLUME 'external'
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SETTINGS storage_policy='s3_cold', temporary_directories_lifetime=1,
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merge_tree_clear_old_temporary_directories_interval_seconds=1
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"""
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)
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# Fail a request to S3 to break first TTL move.
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fail_request(cluster, 1)
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node.query(
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"INSERT INTO s3_failover_test VALUES (now() - 1, 0, 'data'), (now() - 1, 1, 'data')"
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)
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# Wait for part move to S3.
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max_attempts = 10
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for attempt in range(max_attempts + 1):
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disk = node.query(
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"SELECT disk_name FROM system.parts WHERE table='s3_failover_test' LIMIT 1"
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)
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if disk != "s3\n":
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if attempt == max_attempts:
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assert disk == "s3\n", (
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"Expected move to S3 while part still on disk " + disk
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)
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else:
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time.sleep(1)
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else:
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break
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# Ensure part_log is created.
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node.query("SYSTEM FLUSH LOGS")
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# There should be 2 attempts to move part.
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assert (
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node.query(
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"""
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SELECT count(*) FROM system.part_log
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WHERE event_type='MovePart' AND table='s3_failover_test'
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"""
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)
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== "2\n"
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)
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# First attempt should be failed with expected error.
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exception = node.query(
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"""
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SELECT exception FROM system.part_log
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WHERE event_type='MovePart' AND table='s3_failover_test' AND notEmpty(exception)
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ORDER BY event_time
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LIMIT 1
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"""
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)
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assert exception.find("Expected Error") != -1, exception
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# Ensure data is not corrupted.
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assert node.query("CHECK TABLE s3_failover_test") == "1\n"
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assert (
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node.query("SELECT id,data FROM s3_failover_test FORMAT Values")
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== "(0,'data'),(1,'data')"
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)
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# Check that throttled request retries and does not cause an error on disk with default `retry_attempts` (>0)
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def test_throttle_retry(cluster):
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node = cluster.instances["node"]
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node.query(
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"""
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CREATE TABLE s3_throttle_retry_test (
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id Int64
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) ENGINE=MergeTree()
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ORDER BY id
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SETTINGS storage_policy='s3_retryable'
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"""
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)
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data = "(42)"
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node.query("INSERT INTO s3_throttle_retry_test VALUES {}".format(data))
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throttle_request(cluster, 1)
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assert (
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node.query(
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"""
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SELECT * FROM s3_throttle_retry_test
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"""
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)
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== "42\n"
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)
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# Check that loading of parts is retried.
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def test_retry_loading_parts(cluster):
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node = cluster.instances["node"]
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node.query(
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"""
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CREATE TABLE s3_retry_loading_parts (
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id Int64
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) ENGINE=MergeTree()
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ORDER BY id
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SETTINGS storage_policy='s3_no_retries'
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"""
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)
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node.query("INSERT INTO s3_retry_loading_parts VALUES (42)")
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node.query("DETACH TABLE s3_retry_loading_parts")
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fail_request(cluster, 5)
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node.query("ATTACH TABLE s3_retry_loading_parts")
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assert node.contains_in_log(
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"Failed to load data part all_1_1_0 at try 0 with retryable error"
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)
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assert node.query("SELECT * FROM s3_retry_loading_parts") == "42\n"
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