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Add km module kafka
This commit is contained in:
leewei
519
tests/kafkatest/services/connect.py
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519
tests/kafkatest/services/connect.py
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@@ -0,0 +1,519 @@
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import os.path
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import random
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import signal
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import time
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import requests
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from ducktape.errors import DucktapeError
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from ducktape.services.service import Service
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from ducktape.utils.util import wait_until
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from kafkatest.directory_layout.kafka_path import KafkaPathResolverMixin
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class ConnectServiceBase(KafkaPathResolverMixin, Service):
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"""Base class for Kafka Connect services providing some common settings and functionality"""
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PERSISTENT_ROOT = "/mnt/connect"
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CONFIG_FILE = os.path.join(PERSISTENT_ROOT, "connect.properties")
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# The log file contains normal log4j logs written using a file appender. stdout and stderr are handled separately
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# so they can be used for other output, e.g. verifiable source & sink.
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LOG_FILE = os.path.join(PERSISTENT_ROOT, "connect.log")
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STDOUT_FILE = os.path.join(PERSISTENT_ROOT, "connect.stdout")
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STDERR_FILE = os.path.join(PERSISTENT_ROOT, "connect.stderr")
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LOG4J_CONFIG_FILE = os.path.join(PERSISTENT_ROOT, "connect-log4j.properties")
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PID_FILE = os.path.join(PERSISTENT_ROOT, "connect.pid")
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EXTERNAL_CONFIGS_FILE = os.path.join(PERSISTENT_ROOT, "connect-external-configs.properties")
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CONNECT_REST_PORT = 8083
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HEAP_DUMP_FILE = os.path.join(PERSISTENT_ROOT, "connect_heap_dump.bin")
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# Currently the Connect worker supports waiting on four modes:
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STARTUP_MODE_INSTANT = 'INSTANT'
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"""STARTUP_MODE_INSTANT: Start Connect worker and return immediately"""
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STARTUP_MODE_LOAD = 'LOAD'
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"""STARTUP_MODE_LOAD: Start Connect worker and return after discovering and loading plugins"""
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STARTUP_MODE_LISTEN = 'LISTEN'
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"""STARTUP_MODE_LISTEN: Start Connect worker and return after opening the REST port."""
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STARTUP_MODE_JOIN = 'JOIN'
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"""STARTUP_MODE_JOIN: Start Connect worker and return after joining the group."""
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logs = {
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"connect_log": {
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"path": LOG_FILE,
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"collect_default": True},
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"connect_stdout": {
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"path": STDOUT_FILE,
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"collect_default": False},
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"connect_stderr": {
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"path": STDERR_FILE,
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"collect_default": True},
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"connect_heap_dump_file": {
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"path": HEAP_DUMP_FILE,
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"collect_default": True}
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}
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def __init__(self, context, num_nodes, kafka, files, startup_timeout_sec = 60):
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super(ConnectServiceBase, self).__init__(context, num_nodes)
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self.kafka = kafka
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self.security_config = kafka.security_config.client_config()
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self.files = files
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self.startup_mode = self.STARTUP_MODE_LISTEN
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self.startup_timeout_sec = startup_timeout_sec
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self.environment = {}
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self.external_config_template_func = None
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def pids(self, node):
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"""Return process ids for Kafka Connect processes."""
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try:
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return [pid for pid in node.account.ssh_capture("cat " + self.PID_FILE, callback=int)]
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except:
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return []
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def set_configs(self, config_template_func, connector_config_templates=None):
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"""
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Set configurations for the worker and the connector to run on
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it. These are not provided in the constructor because the worker
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config generally needs access to ZK/Kafka services to
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create the configuration.
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"""
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self.config_template_func = config_template_func
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self.connector_config_templates = connector_config_templates
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def set_external_configs(self, external_config_template_func):
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"""
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Set the properties that will be written in the external file properties
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as used by the org.apache.kafka.common.config.provider.FileConfigProvider.
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When this is used, the worker configuration must also enable the FileConfigProvider.
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This is not provided in the constructor in case the worker
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config generally needs access to ZK/Kafka services to
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create the configuration.
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"""
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self.external_config_template_func = external_config_template_func
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def listening(self, node):
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try:
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self.list_connectors(node)
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self.logger.debug("Connect worker started serving REST at: '%s:%s')", node.account.hostname,
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self.CONNECT_REST_PORT)
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return True
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except requests.exceptions.ConnectionError:
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self.logger.debug("REST resources are not loaded yet")
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return False
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def start(self, mode=None):
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if mode:
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self.startup_mode = mode
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super(ConnectServiceBase, self).start()
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def start_and_return_immediately(self, node, worker_type, remote_connector_configs):
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cmd = self.start_cmd(node, remote_connector_configs)
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self.logger.debug("Connect %s command: %s", worker_type, cmd)
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node.account.ssh(cmd)
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def start_and_wait_to_load_plugins(self, node, worker_type, remote_connector_configs):
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with node.account.monitor_log(self.LOG_FILE) as monitor:
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self.start_and_return_immediately(node, worker_type, remote_connector_configs)
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monitor.wait_until('Kafka version', timeout_sec=self.startup_timeout_sec,
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err_msg="Never saw message indicating Kafka Connect finished startup on node: " +
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"%s in condition mode: %s" % (str(node.account), self.startup_mode))
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def start_and_wait_to_start_listening(self, node, worker_type, remote_connector_configs):
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self.start_and_return_immediately(node, worker_type, remote_connector_configs)
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wait_until(lambda: self.listening(node), timeout_sec=self.startup_timeout_sec,
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err_msg="Kafka Connect failed to start on node: %s in condition mode: %s" %
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(str(node.account), self.startup_mode))
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def start_and_wait_to_join_group(self, node, worker_type, remote_connector_configs):
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if worker_type != 'distributed':
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raise RuntimeError("Cannot wait for joined group message for %s" % worker_type)
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with node.account.monitor_log(self.LOG_FILE) as monitor:
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self.start_and_return_immediately(node, worker_type, remote_connector_configs)
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monitor.wait_until('Joined group', timeout_sec=self.startup_timeout_sec,
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err_msg="Never saw message indicating Kafka Connect joined group on node: " +
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"%s in condition mode: %s" % (str(node.account), self.startup_mode))
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def stop_node(self, node, clean_shutdown=True):
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self.logger.info((clean_shutdown and "Cleanly" or "Forcibly") + " stopping Kafka Connect on " + str(node.account))
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pids = self.pids(node)
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sig = signal.SIGTERM if clean_shutdown else signal.SIGKILL
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for pid in pids:
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node.account.signal(pid, sig, allow_fail=True)
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if clean_shutdown:
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for pid in pids:
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wait_until(lambda: not node.account.alive(pid), timeout_sec=self.startup_timeout_sec, err_msg="Kafka Connect process on " + str(
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node.account) + " took too long to exit")
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node.account.ssh("rm -f " + self.PID_FILE, allow_fail=False)
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def restart(self, clean_shutdown=True):
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# We don't want to do any clean up here, just restart the process.
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for node in self.nodes:
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self.logger.info("Restarting Kafka Connect on " + str(node.account))
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self.restart_node(node, clean_shutdown)
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def restart_node(self, node, clean_shutdown=True):
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self.stop_node(node, clean_shutdown)
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self.start_node(node)
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def clean_node(self, node):
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node.account.kill_process("connect", clean_shutdown=False, allow_fail=True)
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self.security_config.clean_node(node)
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other_files = " ".join(self.config_filenames() + self.files)
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node.account.ssh("rm -rf -- %s %s" % (ConnectServiceBase.PERSISTENT_ROOT, other_files), allow_fail=False)
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def config_filenames(self):
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return [os.path.join(self.PERSISTENT_ROOT, "connect-connector-" + str(idx) + ".properties") for idx, template in enumerate(self.connector_config_templates or [])]
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def list_connectors(self, node=None, **kwargs):
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return self._rest_with_retry('/connectors', node=node, **kwargs)
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def create_connector(self, config, node=None, **kwargs):
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create_request = {
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'name': config['name'],
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'config': config
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}
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return self._rest_with_retry('/connectors', create_request, node=node, method="POST", **kwargs)
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def get_connector(self, name, node=None, **kwargs):
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return self._rest_with_retry('/connectors/' + name, node=node, **kwargs)
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def get_connector_config(self, name, node=None, **kwargs):
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return self._rest_with_retry('/connectors/' + name + '/config', node=node, **kwargs)
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def set_connector_config(self, name, config, node=None, **kwargs):
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# Unlike many other calls, a 409 when setting a connector config is expected if the connector already exists.
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# However, we also might see 409s for other reasons (e.g. rebalancing). So we still perform retries at the cost
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# of tests possibly taking longer to ultimately fail. Tests that care about this can explicitly override the
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# number of retries.
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return self._rest_with_retry('/connectors/' + name + '/config', config, node=node, method="PUT", **kwargs)
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def get_connector_tasks(self, name, node=None, **kwargs):
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return self._rest_with_retry('/connectors/' + name + '/tasks', node=node, **kwargs)
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def delete_connector(self, name, node=None, **kwargs):
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return self._rest_with_retry('/connectors/' + name, node=node, method="DELETE", **kwargs)
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def get_connector_status(self, name, node=None):
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return self._rest('/connectors/' + name + '/status', node=node)
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def restart_connector(self, name, node=None, **kwargs):
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return self._rest_with_retry('/connectors/' + name + '/restart', node=node, method="POST", **kwargs)
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def restart_task(self, connector_name, task_id, node=None):
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return self._rest('/connectors/' + connector_name + '/tasks/' + str(task_id) + '/restart', node=node, method="POST")
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def pause_connector(self, name, node=None):
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return self._rest('/connectors/' + name + '/pause', node=node, method="PUT")
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def resume_connector(self, name, node=None):
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return self._rest('/connectors/' + name + '/resume', node=node, method="PUT")
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def list_connector_plugins(self, node=None):
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return self._rest('/connector-plugins/', node=node)
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def validate_config(self, connector_type, validate_request, node=None):
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return self._rest('/connector-plugins/' + connector_type + '/config/validate', validate_request, node=node, method="PUT")
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def _rest(self, path, body=None, node=None, method="GET"):
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if node is None:
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node = random.choice(self.nodes)
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meth = getattr(requests, method.lower())
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url = self._base_url(node) + path
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self.logger.debug("Kafka Connect REST request: %s %s %s %s", node.account.hostname, url, method, body)
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resp = meth(url, json=body)
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self.logger.debug("%s %s response: %d", url, method, resp.status_code)
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if resp.status_code > 400:
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self.logger.debug("Connect REST API error for %s: %d %s", resp.url, resp.status_code, resp.text)
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raise ConnectRestError(resp.status_code, resp.text, resp.url)
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if resp.status_code == 204 or resp.status_code == 202:
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return None
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else:
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return resp.json()
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def _rest_with_retry(self, path, body=None, node=None, method="GET", retries=40, retry_backoff=.25):
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"""
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Invokes a REST API with retries for errors that may occur during normal operation (notably 409 CONFLICT
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responses that can occur due to rebalancing or 404 when the connect resources are not initialized yet).
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"""
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exception_to_throw = None
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for i in range(0, retries + 1):
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try:
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return self._rest(path, body, node, method)
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except ConnectRestError as e:
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exception_to_throw = e
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if e.status != 409 and e.status != 404:
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break
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time.sleep(retry_backoff)
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raise exception_to_throw
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def _base_url(self, node):
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return 'http://' + node.account.externally_routable_ip + ':' + str(self.CONNECT_REST_PORT)
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def append_to_environment_variable(self, envvar, value):
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env_opts = self.environment[envvar]
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if env_opts is None:
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env_opts = "\"%s\"" % value
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else:
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env_opts = "\"%s %s\"" % (env_opts.strip('\"'), value)
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self.environment[envvar] = env_opts
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class ConnectStandaloneService(ConnectServiceBase):
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"""Runs Kafka Connect in standalone mode."""
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def __init__(self, context, kafka, files, startup_timeout_sec = 60):
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super(ConnectStandaloneService, self).__init__(context, 1, kafka, files, startup_timeout_sec)
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# For convenience since this service only makes sense with a single node
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@property
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def node(self):
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return self.nodes[0]
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def start_cmd(self, node, connector_configs):
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cmd = "( export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % self.LOG4J_CONFIG_FILE
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heap_kafka_opts = "-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=%s" % \
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self.logs["connect_heap_dump_file"]["path"]
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other_kafka_opts = self.security_config.kafka_opts.strip('\"')
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cmd += "export KAFKA_OPTS=\"%s %s\"; " % (heap_kafka_opts, other_kafka_opts)
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for envvar in self.environment:
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cmd += "export %s=%s; " % (envvar, str(self.environment[envvar]))
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cmd += "%s %s " % (self.path.script("connect-standalone.sh", node), self.CONFIG_FILE)
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cmd += " ".join(connector_configs)
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cmd += " & echo $! >&3 ) 1>> %s 2>> %s 3> %s" % (self.STDOUT_FILE, self.STDERR_FILE, self.PID_FILE)
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return cmd
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def start_node(self, node):
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node.account.ssh("mkdir -p %s" % self.PERSISTENT_ROOT, allow_fail=False)
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self.security_config.setup_node(node)
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if self.external_config_template_func:
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node.account.create_file(self.EXTERNAL_CONFIGS_FILE, self.external_config_template_func(node))
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node.account.create_file(self.CONFIG_FILE, self.config_template_func(node))
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node.account.create_file(self.LOG4J_CONFIG_FILE, self.render('connect_log4j.properties', log_file=self.LOG_FILE))
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remote_connector_configs = []
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for idx, template in enumerate(self.connector_config_templates):
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target_file = os.path.join(self.PERSISTENT_ROOT, "connect-connector-" + str(idx) + ".properties")
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node.account.create_file(target_file, template)
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remote_connector_configs.append(target_file)
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self.logger.info("Starting Kafka Connect standalone process on " + str(node.account))
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if self.startup_mode == self.STARTUP_MODE_LOAD:
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self.start_and_wait_to_load_plugins(node, 'standalone', remote_connector_configs)
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elif self.startup_mode == self.STARTUP_MODE_INSTANT:
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self.start_and_return_immediately(node, 'standalone', remote_connector_configs)
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elif self.startup_mode == self.STARTUP_MODE_JOIN:
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self.start_and_wait_to_join_group(node, 'standalone', remote_connector_configs)
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else:
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# The default mode is to wait until the complete startup of the worker
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self.start_and_wait_to_start_listening(node, 'standalone', remote_connector_configs)
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if len(self.pids(node)) == 0:
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raise RuntimeError("No process ids recorded")
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class ConnectDistributedService(ConnectServiceBase):
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"""Runs Kafka Connect in distributed mode."""
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def __init__(self, context, num_nodes, kafka, files, offsets_topic="connect-offsets",
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configs_topic="connect-configs", status_topic="connect-status", startup_timeout_sec = 60):
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super(ConnectDistributedService, self).__init__(context, num_nodes, kafka, files, startup_timeout_sec)
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self.startup_mode = self.STARTUP_MODE_JOIN
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self.offsets_topic = offsets_topic
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self.configs_topic = configs_topic
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self.status_topic = status_topic
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# connector_configs argument is intentionally ignored in distributed service.
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def start_cmd(self, node, connector_configs):
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cmd = "( export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % self.LOG4J_CONFIG_FILE
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heap_kafka_opts = "-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=%s" % \
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self.logs["connect_heap_dump_file"]["path"]
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other_kafka_opts = self.security_config.kafka_opts.strip('\"')
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cmd += "export KAFKA_OPTS=\"%s %s\"; " % (heap_kafka_opts, other_kafka_opts)
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for envvar in self.environment:
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cmd += "export %s=%s; " % (envvar, str(self.environment[envvar]))
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cmd += "%s %s " % (self.path.script("connect-distributed.sh", node), self.CONFIG_FILE)
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cmd += " & echo $! >&3 ) 1>> %s 2>> %s 3> %s" % (self.STDOUT_FILE, self.STDERR_FILE, self.PID_FILE)
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return cmd
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def start_node(self, node):
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node.account.ssh("mkdir -p %s" % self.PERSISTENT_ROOT, allow_fail=False)
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self.security_config.setup_node(node)
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if self.external_config_template_func:
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node.account.create_file(self.EXTERNAL_CONFIGS_FILE, self.external_config_template_func(node))
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node.account.create_file(self.CONFIG_FILE, self.config_template_func(node))
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node.account.create_file(self.LOG4J_CONFIG_FILE, self.render('connect_log4j.properties', log_file=self.LOG_FILE))
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if self.connector_config_templates:
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raise DucktapeError("Config files are not valid in distributed mode, submit connectors via the REST API")
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self.logger.info("Starting Kafka Connect distributed process on " + str(node.account))
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if self.startup_mode == self.STARTUP_MODE_LOAD:
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self.start_and_wait_to_load_plugins(node, 'distributed', '')
|
||||
elif self.startup_mode == self.STARTUP_MODE_INSTANT:
|
||||
self.start_and_return_immediately(node, 'distributed', '')
|
||||
elif self.startup_mode == self.STARTUP_MODE_LISTEN:
|
||||
self.start_and_wait_to_start_listening(node, 'distributed', '')
|
||||
else:
|
||||
# The default mode is to wait until the complete startup of the worker
|
||||
self.start_and_wait_to_join_group(node, 'distributed', '')
|
||||
|
||||
if len(self.pids(node)) == 0:
|
||||
raise RuntimeError("No process ids recorded")
|
||||
|
||||
|
||||
class ErrorTolerance(object):
|
||||
ALL = "all"
|
||||
NONE = "none"
|
||||
|
||||
|
||||
class ConnectRestError(RuntimeError):
|
||||
def __init__(self, status, msg, url):
|
||||
self.status = status
|
||||
self.message = msg
|
||||
self.url = url
|
||||
|
||||
def __unicode__(self):
|
||||
return "Kafka Connect REST call failed: returned " + self.status + " for " + self.url + ". Response: " + self.message
|
||||
|
||||
|
||||
class VerifiableConnector(object):
|
||||
def messages(self):
|
||||
"""
|
||||
Collect and parse the logs from Kafka Connect nodes. Return a list containing all parsed JSON messages generated by
|
||||
this source.
|
||||
"""
|
||||
self.logger.info("Collecting messages from log of %s %s", type(self).__name__, self.name)
|
||||
records = []
|
||||
for node in self.cc.nodes:
|
||||
for line in node.account.ssh_capture('cat ' + self.cc.STDOUT_FILE):
|
||||
try:
|
||||
data = json.loads(line)
|
||||
except ValueError:
|
||||
self.logger.debug("Ignoring unparseable line: %s", line)
|
||||
continue
|
||||
# Filter to only ones matching our name to support multiple verifiable producers
|
||||
if data['name'] != self.name:
|
||||
continue
|
||||
data['node'] = node
|
||||
records.append(data)
|
||||
return records
|
||||
|
||||
def stop(self):
|
||||
self.logger.info("Destroying connector %s %s", type(self).__name__, self.name)
|
||||
self.cc.delete_connector(self.name)
|
||||
|
||||
|
||||
class VerifiableSource(VerifiableConnector):
|
||||
"""
|
||||
Helper class for running a verifiable source connector on a Kafka Connect cluster and analyzing the output.
|
||||
"""
|
||||
|
||||
def __init__(self, cc, name="verifiable-source", tasks=1, topic="verifiable", throughput=1000):
|
||||
self.cc = cc
|
||||
self.logger = self.cc.logger
|
||||
self.name = name
|
||||
self.tasks = tasks
|
||||
self.topic = topic
|
||||
self.throughput = throughput
|
||||
|
||||
def committed_messages(self):
|
||||
return filter(lambda m: 'committed' in m and m['committed'], self.messages())
|
||||
|
||||
def sent_messages(self):
|
||||
return filter(lambda m: 'committed' not in m or not m['committed'], self.messages())
|
||||
|
||||
def start(self):
|
||||
self.logger.info("Creating connector VerifiableSourceConnector %s", self.name)
|
||||
self.cc.create_connector({
|
||||
'name': self.name,
|
||||
'connector.class': 'org.apache.kafka.connect.tools.VerifiableSourceConnector',
|
||||
'tasks.max': self.tasks,
|
||||
'topic': self.topic,
|
||||
'throughput': self.throughput
|
||||
})
|
||||
|
||||
|
||||
class VerifiableSink(VerifiableConnector):
|
||||
"""
|
||||
Helper class for running a verifiable sink connector on a Kafka Connect cluster and analyzing the output.
|
||||
"""
|
||||
|
||||
def __init__(self, cc, name="verifiable-sink", tasks=1, topics=["verifiable"]):
|
||||
self.cc = cc
|
||||
self.logger = self.cc.logger
|
||||
self.name = name
|
||||
self.tasks = tasks
|
||||
self.topics = topics
|
||||
|
||||
def flushed_messages(self):
|
||||
return filter(lambda m: 'flushed' in m and m['flushed'], self.messages())
|
||||
|
||||
def received_messages(self):
|
||||
return filter(lambda m: 'flushed' not in m or not m['flushed'], self.messages())
|
||||
|
||||
def start(self):
|
||||
self.logger.info("Creating connector VerifiableSinkConnector %s", self.name)
|
||||
self.cc.create_connector({
|
||||
'name': self.name,
|
||||
'connector.class': 'org.apache.kafka.connect.tools.VerifiableSinkConnector',
|
||||
'tasks.max': self.tasks,
|
||||
'topics': ",".join(self.topics)
|
||||
})
|
||||
|
||||
class MockSink(object):
|
||||
|
||||
def __init__(self, cc, topics, mode=None, delay_sec=10, name="mock-sink"):
|
||||
self.cc = cc
|
||||
self.logger = self.cc.logger
|
||||
self.name = name
|
||||
self.mode = mode
|
||||
self.delay_sec = delay_sec
|
||||
self.topics = topics
|
||||
|
||||
def start(self):
|
||||
self.logger.info("Creating connector MockSinkConnector %s", self.name)
|
||||
self.cc.create_connector({
|
||||
'name': self.name,
|
||||
'connector.class': 'org.apache.kafka.connect.tools.MockSinkConnector',
|
||||
'tasks.max': 1,
|
||||
'topics': ",".join(self.topics),
|
||||
'mock_mode': self.mode,
|
||||
'delay_ms': self.delay_sec * 1000
|
||||
})
|
||||
|
||||
class MockSource(object):
|
||||
|
||||
def __init__(self, cc, mode=None, delay_sec=10, name="mock-source"):
|
||||
self.cc = cc
|
||||
self.logger = self.cc.logger
|
||||
self.name = name
|
||||
self.mode = mode
|
||||
self.delay_sec = delay_sec
|
||||
|
||||
def start(self):
|
||||
self.logger.info("Creating connector MockSourceConnector %s", self.name)
|
||||
self.cc.create_connector({
|
||||
'name': self.name,
|
||||
'connector.class': 'org.apache.kafka.connect.tools.MockSourceConnector',
|
||||
'tasks.max': 1,
|
||||
'mock_mode': self.mode,
|
||||
'delay_ms': self.delay_sec * 1000
|
||||
})
|
||||
Reference in New Issue
Block a user