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# Licensed to the Apache Software Foundation (ASF) under one or more
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# 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.
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# limitations under the License.
from ducktape.services.background_thread import BackgroundThreadService
from kafkatest.services.kafka.directory import kafka_dir, KAFKA_TRUNK
from kafkatest.services.kafka.version import TRUNK, LATEST_0_8_2
from kafkatest.utils import is_int, is_int_with_prefix
import json
import os
import signal
import subprocess
import time
class VerifiableProducer(BackgroundThreadService):
PERSISTENT_ROOT = "/mnt/verifiable_producer"
STDOUT_CAPTURE = os.path.join(PERSISTENT_ROOT, "verifiable_producer.stdout")
LOG_DIR = os.path.join(PERSISTENT_ROOT, "logs")
LOG_FILE = os.path.join(LOG_DIR, "verifiable_producer.log")
LOG4J_CONFIG = os.path.join(PERSISTENT_ROOT, "tools-log4j.properties")
CONFIG_FILE = os.path.join(PERSISTENT_ROOT, "verifiable_producer.properties")
logs = {
"verifiable_producer_stdout": {
"path": STDOUT_CAPTURE,
"collect_default": False},
"verifiable_producer_log": {
"path": LOG_FILE,
"collect_default": True}
}
def __init__(self, context, num_nodes, kafka, topic, max_messages=-1, throughput=100000,
message_validator=is_int, compression_types=None, version=TRUNK):
"""
:param max_messages is a number of messages to be produced per producer
:param message_validator checks for an expected format of messages produced. There are
currently two:
* is_int is an integer format; this is default and expected to be used if
num_nodes = 1
* is_int_with_prefix recommended if num_nodes > 1, because otherwise each producer
will produce exactly same messages, and validation may miss missing messages.
:param compression_types: If None, all producers will not use compression; or a list of
compression types, one per producer (could be "none").
"""
super(VerifiableProducer, self).__init__(context, num_nodes)
self.kafka = kafka
self.topic = topic
self.max_messages = max_messages
self.throughput = throughput
self.message_validator = message_validator
self.compression_types = compression_types
if self.compression_types is not None:
assert len(self.compression_types) == num_nodes, "Specify one compression type per node"
for node in self.nodes:
node.version = version
self.acked_values = []
self.not_acked_values = []
self.produced_count = {}
@property
def security_config(self):
return self.kafka.security_config.client_config()
def prop_file(self, node):
idx = self.idx(node)
prop_file = str(self.security_config)
if self.compression_types is not None:
compression_index = idx - 1
self.logger.info("VerifiableProducer (index = %d) will use compression type = %s", idx,
self.compression_types[compression_index])
prop_file += "\ncompression.type=%s\n" % self.compression_types[compression_index]
return prop_file
def _worker(self, idx, node):
node.account.ssh("mkdir -p %s" % VerifiableProducer.PERSISTENT_ROOT, allow_fail=False)
# Create and upload log properties
log_config = self.render('tools_log4j.properties', log_file=VerifiableProducer.LOG_FILE)
node.account.create_file(VerifiableProducer.LOG4J_CONFIG, log_config)
# Create and upload config file
producer_prop_file = self.prop_file(node)
self.logger.info("verifiable_producer.properties:")
self.logger.info(producer_prop_file)
node.account.create_file(VerifiableProducer.CONFIG_FILE, producer_prop_file)
self.security_config.setup_node(node)
cmd = self.start_cmd(node, idx)
self.logger.debug("VerifiableProducer %d command: %s" % (idx, cmd))
self.produced_count[idx] = 0
last_produced_time = time.time()
prev_msg = None
for line in node.account.ssh_capture(cmd):
line = line.strip()
data = self.try_parse_json(line)
if data is not None:
with self.lock:
if data["name"] == "producer_send_error":
data["node"] = idx
self.not_acked_values.append(self.message_validator(data["value"]))
self.produced_count[idx] += 1
elif data["name"] == "producer_send_success":
self.acked_values.append(self.message_validator(data["value"]))
self.produced_count[idx] += 1
# Log information if there is a large gap between successively acknowledged messages
t = time.time()
time_delta_sec = t - last_produced_time
if time_delta_sec > 2 and prev_msg is not None:
self.logger.debug(
"Time delta between successively acked messages is large: " +
"delta_t_sec: %s, prev_message: %s, current_message: %s" % (str(time_delta_sec), str(prev_msg), str(data)))
last_produced_time = t
prev_msg = data
def start_cmd(self, node, idx):
cmd = ""
if node.version <= LATEST_0_8_2:
# 0.8.2.X releases do not have VerifiableProducer.java, so cheat and add
# the tools jar from trunk to the classpath
cmd += "for file in /opt/%s/tools/build/libs/kafka-tools*.jar; do CLASSPATH=$CLASSPATH:$file; done; " % KAFKA_TRUNK
cmd += "for file in /opt/%s/tools/build/dependant-libs-${SCALA_VERSION}*/*.jar; do CLASSPATH=$CLASSPATH:$file; done; " % KAFKA_TRUNK
cmd += "export CLASSPATH; "
cmd += "export LOG_DIR=%s;" % VerifiableProducer.LOG_DIR
cmd += " export KAFKA_OPTS=%s;" % self.security_config.kafka_opts
cmd += " export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % VerifiableProducer.LOG4J_CONFIG
cmd += "/opt/" + kafka_dir(node) + "/bin/kafka-run-class.sh org.apache.kafka.tools.VerifiableProducer" \
" --topic %s --broker-list %s" % (self.topic, self.kafka.bootstrap_servers(self.security_config.security_protocol))
if self.max_messages > 0:
cmd += " --max-messages %s" % str(self.max_messages)
if self.throughput > 0:
cmd += " --throughput %s" % str(self.throughput)
if self.message_validator == is_int_with_prefix:
cmd += " --value-prefix %s" % str(idx)
cmd += " --producer.config %s" % VerifiableProducer.CONFIG_FILE
cmd += " 2>> %s | tee -a %s &" % (VerifiableProducer.STDOUT_CAPTURE, VerifiableProducer.STDOUT_CAPTURE)
return cmd
def kill_node(self, node, clean_shutdown=True, allow_fail=False):
if clean_shutdown:
sig = signal.SIGTERM
else:
sig = signal.SIGKILL
for pid in self.pids(node):
node.account.signal(pid, sig, allow_fail)
def pids(self, node):
try:
cmd = "jps | grep -i VerifiableProducer | awk '{print $1}'"
pid_arr = [pid for pid in node.account.ssh_capture(cmd, allow_fail=True, callback=int)]
return pid_arr
except (subprocess.CalledProcessError, ValueError) as e:
return []
def alive(self, node):
return len(self.pids(node)) > 0
@property
def acked(self):
with self.lock:
return self.acked_values
@property
def not_acked(self):
with self.lock:
return self.not_acked_values
@property
def num_acked(self):
with self.lock:
return len(self.acked_values)
@property
def num_not_acked(self):
with self.lock:
return len(self.not_acked_values)
def each_produced_at_least(self, count):
with self.lock:
for idx in range(1, self.num_nodes + 1):
if self.produced_count.get(idx) is None or self.produced_count[idx] < count:
return False
return True
def stop_node(self, node):
self.kill_node(node, clean_shutdown=False, allow_fail=False)
if self.worker_threads is None:
return
# block until the corresponding thread exits
if len(self.worker_threads) >= self.idx(node):
# Need to guard this because stop is preemptively called before the worker threads are added and started
self.worker_threads[self.idx(node) - 1].join()
def clean_node(self, node):
self.kill_node(node, clean_shutdown=False, allow_fail=False)
node.account.ssh("rm -rf " + self.PERSISTENT_ROOT, allow_fail=False)
self.security_config.clean_node(node)
def try_parse_json(self, string):
"""Try to parse a string as json. Return None if not parseable."""
try:
record = json.loads(string)
return record
except ValueError:
self.logger.debug("Could not parse as json: %s" % str(string))
return None