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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ducktape.services.service import Service
from ducktape.utils.util import wait_until
from ducktape.errors import DucktapeError
from kafkatest.services.kafka.directory import kafka_dir
import signal, random, requests, os.path, json
class ConnectServiceBase(Service):
"""Base class for Kafka Connect services providing some common settings and functionality"""
PERSISTENT_ROOT = "/mnt/connect"
CONFIG_FILE = os.path.join(PERSISTENT_ROOT, "connect.properties")
# The log file contains normal log4j logs written using a file appender. stdout and stderr are handled separately
# so they can be used for other output, e.g. verifiable source & sink.
LOG_FILE = os.path.join(PERSISTENT_ROOT, "connect.log")
STDOUT_FILE = os.path.join(PERSISTENT_ROOT, "connect.stdout")
STDERR_FILE = os.path.join(PERSISTENT_ROOT, "connect.stderr")
LOG4J_CONFIG_FILE = os.path.join(PERSISTENT_ROOT, "connect-log4j.properties")
PID_FILE = os.path.join(PERSISTENT_ROOT, "connect.pid")
logs = {
"connect_log": {
"path": LOG_FILE,
"collect_default": True},
"connect_stdout": {
"path": STDOUT_FILE,
"collect_default": False},
"connect_stderr": {
"path": STDERR_FILE,
"collect_default": True},
}
def __init__(self, context, num_nodes, kafka, files):
super(ConnectServiceBase, self).__init__(context, num_nodes)
self.kafka = kafka
self.security_config = kafka.security_config.client_config()
self.files = files
def pids(self, node):
"""Return process ids for Kafka Connect processes."""
try:
return [pid for pid in node.account.ssh_capture("cat " + self.PID_FILE, callback=int)]
except:
return []
def set_configs(self, config_template_func, connector_config_templates=None):
"""
Set configurations for the worker and the connector to run on
it. These are not provided in the constructor because the worker
config generally needs access to ZK/Kafka services to
create the configuration.
"""
self.config_template_func = config_template_func
self.connector_config_templates = connector_config_templates
def stop_node(self, node, clean_shutdown=True):
self.logger.info((clean_shutdown and "Cleanly" or "Forcibly") + " stopping Kafka Connect on " + str(node.account))
pids = self.pids(node)
sig = signal.SIGTERM if clean_shutdown else signal.SIGKILL
for pid in pids:
node.account.signal(pid, sig, allow_fail=True)
if clean_shutdown:
for pid in pids:
wait_until(lambda: not node.account.alive(pid), timeout_sec=60, err_msg="Kafka Connect process on " + str(node.account) + " took too long to exit")
node.account.ssh("rm -f " + self.PID_FILE, allow_fail=False)
def restart(self):
# We don't want to do any clean up here, just restart the process.
for node in self.nodes:
self.logger.info("Restarting Kafka Connect on " + str(node.account))
self.stop_node(node)
self.start_node(node)
def clean_node(self, node):
node.account.kill_process("connect", clean_shutdown=False, allow_fail=True)
self.security_config.clean_node(node)
node.account.ssh("rm -rf " + " ".join([self.CONFIG_FILE, self.LOG4J_CONFIG_FILE, self.PID_FILE, self.LOG_FILE, self.STDOUT_FILE, self.STDERR_FILE] + self.config_filenames() + self.files), allow_fail=False)
def config_filenames(self):
return [os.path.join(self.PERSISTENT_ROOT, "connect-connector-" + str(idx) + ".properties") for idx, template in enumerate(self.connector_config_templates or [])]
def list_connectors(self, node=None):
return self._rest('/connectors', node=node)
def create_connector(self, config, node=None):
create_request = {
'name': config['name'],
'config': config
}
return self._rest('/connectors', create_request, node=node, method="POST")
def get_connector(self, name, node=None):
return self._rest('/connectors/' + name, node=node)
def get_connector_config(self, name, node=None):
return self._rest('/connectors/' + name + '/config', node=node)
def set_connector_config(self, name, config, node=None):
return self._rest('/connectors/' + name + '/config', config, node=node, method="PUT")
def get_connector_tasks(self, name, node=None):
return self._rest('/connectors/' + name + '/tasks', node=node)
def delete_connector(self, name, node=None):
return self._rest('/connectors/' + name, node=node, method="DELETE")
def _rest(self, path, body=None, node=None, method="GET"):
if node is None:
node = random.choice(self.nodes)
meth = getattr(requests, method.lower())
url = self._base_url(node) + path
self.logger.debug("Kafka Connect REST request: %s %s %s %s", node.account.hostname, url, method, body)
resp = meth(url, json=body)
self.logger.debug("%s %s response: %d", url, method, resp.status_code)
if resp.status_code > 400:
raise ConnectRestError(resp.status_code, resp.text, resp.url)
if resp.status_code == 204:
return None
else:
return resp.json()
def _base_url(self, node):
return 'http://' + node.account.externally_routable_ip + ':' + '8083'
class ConnectStandaloneService(ConnectServiceBase):
"""Runs Kafka Connect in standalone mode."""
def __init__(self, context, kafka, files):
super(ConnectStandaloneService, self).__init__(context, 1, kafka, files)
# For convenience since this service only makes sense with a single node
@property
def node(self):
return self.nodes[0]
def start_cmd(self, node, connector_configs):
cmd = "( export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % self.LOG4J_CONFIG_FILE
cmd += "export KAFKA_OPTS=%s; " % self.security_config.kafka_opts
cmd += "/opt/%s/bin/connect-standalone.sh %s " % (kafka_dir(node), self.CONFIG_FILE)
cmd += " ".join(connector_configs)
cmd += " & echo $! >&3 ) 1>> %s 2>> %s 3> %s" % (self.STDOUT_FILE, self.STDERR_FILE, self.PID_FILE)
return cmd
def start_node(self, node):
node.account.ssh("mkdir -p %s" % self.PERSISTENT_ROOT, allow_fail=False)
self.security_config.setup_node(node)
node.account.create_file(self.CONFIG_FILE, self.config_template_func(node))
node.account.create_file(self.LOG4J_CONFIG_FILE, self.render('connect_log4j.properties', log_file=self.LOG_FILE))
remote_connector_configs = []
for idx, template in enumerate(self.connector_config_templates):
target_file = os.path.join(self.PERSISTENT_ROOT, "connect-connector-" + str(idx) + ".properties")
node.account.create_file(target_file, template)
remote_connector_configs.append(target_file)
self.logger.info("Starting Kafka Connect standalone process on " + str(node.account))
with node.account.monitor_log(self.LOG_FILE) as monitor:
node.account.ssh(self.start_cmd(node, remote_connector_configs))
monitor.wait_until('Kafka Connect started', timeout_sec=15, err_msg="Never saw message indicating Kafka Connect finished startup on " + str(node.account))
if len(self.pids(node)) == 0:
raise RuntimeError("No process ids recorded")
class ConnectDistributedService(ConnectServiceBase):
"""Runs Kafka Connect in distributed mode."""
def __init__(self, context, num_nodes, kafka, files, offsets_topic="connect-offsets",
configs_topic="connect-configs", status_topic="connect-status"):
super(ConnectDistributedService, self).__init__(context, num_nodes, kafka, files)
self.offsets_topic = offsets_topic
self.configs_topic = configs_topic
self.status_topic = status_topic
def start_cmd(self, node):
cmd = "( export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % self.LOG4J_CONFIG_FILE
cmd += "export KAFKA_OPTS=%s; " % self.security_config.kafka_opts
cmd += "/opt/%s/bin/connect-distributed.sh %s " % (kafka_dir(node), self.CONFIG_FILE)
cmd += " & echo $! >&3 ) 1>> %s 2>> %s 3> %s" % (self.STDOUT_FILE, self.STDERR_FILE, self.PID_FILE)
return cmd
def start_node(self, node):
node.account.ssh("mkdir -p %s" % self.PERSISTENT_ROOT, allow_fail=False)
self.security_config.setup_node(node)
node.account.create_file(self.CONFIG_FILE, self.config_template_func(node))
node.account.create_file(self.LOG4J_CONFIG_FILE, self.render('connect_log4j.properties', log_file=self.LOG_FILE))
if self.connector_config_templates:
raise DucktapeError("Config files are not valid in distributed mode, submit connectors via the REST API")
self.logger.info("Starting Kafka Connect distributed process on " + str(node.account))
with node.account.monitor_log(self.LOG_FILE) as monitor:
node.account.ssh(self.start_cmd(node))
monitor.wait_until('Kafka Connect started', timeout_sec=15, err_msg="Never saw message indicating Kafka Connect finished startup on " + str(node.account))
if len(self.pids(node)) == 0:
raise RuntimeError("No process ids recorded")
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 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 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)
})