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/*
* librdkafka - Apache Kafka C library
*
* Copyright (c) 2020, Magnus Edenhill
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
/**
* Test batch.size producer property.
*
*/
#include <iostream>
#include <fstream>
#include <iterator>
#include <string>
#include "testcpp.h"
#if WITH_RAPIDJSON
#include <rapidjson/document.h>
#include <rapidjson/pointer.h>
#include <rapidjson/error/en.h>
class myAvgStatsCb : public RdKafka::EventCb {
public:
myAvgStatsCb(std::string topic) :
avg_batchsize(0), min_batchsize(0), max_batchsize(0), topic_(topic) {
}
void event_cb(RdKafka::Event &event) {
switch (event.type()) {
case RdKafka::Event::EVENT_LOG:
Test::Say(event.str() + "\n");
break;
case RdKafka::Event::EVENT_STATS:
read_batch_stats(event.str());
break;
default:
break;
}
}
int avg_batchsize;
int min_batchsize;
int max_batchsize;
private:
void read_val(rapidjson::Document &d, const std::string &path, int &val) {
rapidjson::Pointer jpath(path.c_str());
if (!jpath.IsValid())
Test::Fail(tostr() << "json pointer parse " << path << " failed at "
<< jpath.GetParseErrorOffset() << " with error code "
<< jpath.GetParseErrorCode());
rapidjson::Value *pp = rapidjson::GetValueByPointer(d, jpath);
if (!pp) {
Test::Say(tostr() << "Could not find " << path << " in stats\n");
return;
}
val = pp->GetInt();
}
void read_batch_stats(const std::string &stats) {
rapidjson::Document d;
if (d.Parse(stats.c_str()).HasParseError())
Test::Fail(tostr() << "Failed to parse stats JSON: "
<< rapidjson::GetParseError_En(d.GetParseError())
<< " at " << d.GetErrorOffset());
read_val(d, "/topics/" + topic_ + "/batchsize/avg", avg_batchsize);
read_val(d, "/topics/" + topic_ + "/batchsize/min", min_batchsize);
read_val(d, "/topics/" + topic_ + "/batchsize/max", max_batchsize);
}
std::string topic_;
};
/**
* @brief Specify batch.size and parse stats to verify it takes effect.
*
*/
static void do_test_batch_size() {
std::string topic = Test::mk_topic_name(__FILE__, 0);
myAvgStatsCb event_cb(topic);
RdKafka::Conf *conf;
Test::conf_init(&conf, NULL, 0);
const int msgcnt = 1000;
const int msgsize = 1000;
int batchsize = 5000;
int exp_min_batchsize = batchsize - msgsize - 100 /*~framing overhead*/;
Test::conf_set(conf, "batch.size", "5000");
/* Make sure batch.size takes precedence by setting the following high */
Test::conf_set(conf, "batch.num.messages", "100000");
Test::conf_set(conf, "linger.ms", "2000");
Test::conf_set(conf, "statistics.interval.ms", "7000");
std::string errstr;
if (conf->set("event_cb", &event_cb, errstr) != RdKafka::Conf::CONF_OK)
Test::Fail(errstr);
RdKafka::Producer *p = RdKafka::Producer::create(conf, errstr);
if (!p)
Test::Fail("Failed to create Producer: " + errstr);
delete conf;
/* Produce messages */
char val[msgsize];
memset(val, 'a', msgsize);
for (int i = 0; i < msgcnt; i++) {
RdKafka::ErrorCode err =
p->produce(topic, 0, RdKafka::Producer::RK_MSG_COPY, val, msgsize, NULL,
0, -1, NULL);
if (err)
Test::Fail("Produce failed: " + RdKafka::err2str(err));
}
Test::Say(tostr() << "Produced " << msgcnt << " messages\n");
p->flush(5 * 1000);
Test::Say("Waiting for stats\n");
while (event_cb.avg_batchsize == 0)
p->poll(1000);
Test::Say(tostr() << "Batchsize: "
<< "configured " << batchsize << ", min "
<< event_cb.min_batchsize << ", max "
<< event_cb.max_batchsize << ", avg "
<< event_cb.avg_batchsize << "\n");
/* The average batchsize should within a message size from batch.size. */
if (event_cb.avg_batchsize < exp_min_batchsize ||
event_cb.avg_batchsize > batchsize)
Test::Fail(tostr() << "Expected avg batchsize to be within "
<< exp_min_batchsize << ".." << batchsize << " but got "
<< event_cb.avg_batchsize);
delete p;
}
#endif
extern "C" {
int main_0110_batch_size(int argc, char **argv) {
#if WITH_RAPIDJSON
do_test_batch_size();
#else
Test::Skip("RapidJSON >=1.1.0 not available\n");
#endif
return 0;
}
}
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