Linux下librdkafka客户端的编译运行

Linux下librdkafka客户端的编译运行

　　librdkafka是一个开源的Kafka客户端C/C++实现，提供了Kafka生产者、消费者接口。

　　由于项目需要，我要将Kafka生产者接口封装起来给别人调用，所以先安装了librdkakfa，然后在demo上进行修改封装一个生产者接口。

[一] 安装librdkafka

　　 首先在github上下载librdkafka源码，解压后进行编译；

　　 cd librdkafka-master

　　 chmod 777 configure lds-gen.py

　　 ./configure

　　 make

　　 make install

　　 在make的时候，如果是64位Linux会报下面这个异常

　　 /bin/ld:librdkafka.lds:1: syntax error in VERSION script

　　 只要

Makefile.config里面的

WITH_LDS=y这一行注释掉就不会报错了。

[二] 封装librdkafka的生产者接口

#include <ctype.h>
#include <signal.h>
#include <string.h>
#include <unistd.h>
#include <stdlib.h>
#include <syslog.h>
#include <time.h>
#include <sys/time.h>

#include "librdkafka/rdkafka.h"  /* for Kafka driver */

static int run = 1;
static rd_kafka_t *rk;
rd_kafka_topic_t *rkt;
int partition = RD_KAFKA_PARTITION_UA;
rd_kafka_topic_conf_t *topic_conf;

static void stop (int sig) {
run = 0;
fclose(stdin); /* abort fgets() */
}

static void sig_usr1 (int sig) {
rd_kafka_dump(stdout, rk);
}

int initProducer (char *parameters) {
int argc = 1;
char **argv;
char *para;
char *delim = " ";
char *brokers = "localhost:9092";
char *topic = NULL;
int opt;
rd_kafka_conf_t *conf;
char errstr[512];
char tmp[16];

char copyParameters[1024];
strcpy(copyParameters, parameters);
para = strtok(parameters, delim);
argc++;
while((para = strtok(NULL, delim)) != NULL){
argc++;
}
argv = (char**)malloc(argc*sizeof(char*));
argc = 0;
argv[argc] = "initProducer";
para = strtok(copyParameters, delim);
argc++;
argv[argc] = para;
while((para = strtok(NULL, delim)) != NULL){
argc++;
argv[argc] = para;
}
argc++;
/* Kafka configuration */
conf = rd_kafka_conf_new();
/* Quick termination */
snprintf(tmp, sizeof(tmp), "%i", SIGIO);
rd_kafka_conf_set(conf, "internal.termination.signal", tmp, NULL, 0);
/* Topic configuration */
topic_conf = rd_kafka_topic_conf_new();
while ((opt = getopt(argc, argv, "PCLt:p:b:z:qd:o:eX:As:")) != -1) {
switch (opt) {
case 't':
topic = optarg;
break;
case 'p':
partition = atoi(optarg);
break;
case 'b':
brokers = optarg;
break;
default:
fprintf(stderr, "%% Failed to init producer with error parameters\n");
}
}
if (optind != argc || !topic) {
exit(1);
}
signal(SIGINT, stop);
signal(SIGUSR1, sig_usr1);
/* Create Kafka handle */
if (!(rk = rd_kafka_new(RD_KAFKA_PRODUCER, conf, errstr, sizeof(errstr)))) {
fprintf(stderr, "%% Failed to create new producer: %s\n", errstr);
exit(1);
}
rd_kafka_set_log_level(rk, LOG_DEBUG);
/* Add brokers */
if (rd_kafka_brokers_add(rk, brokers) == 0) {
fprintf(stderr, "%% No valid brokers specified\n");
exit(1);
}
/* Create topic */
rkt = rd_kafka_topic_new(rk, topic, topic_conf);
topic_conf = NULL; /* Now owned by topic */
return 1;
}

int freeProducer()
{
/* Destroy topic */
rd_kafka_topic_destroy(rkt);
/* Destroy the handle */
rd_kafka_destroy(rk);
if (topic_conf)
rd_kafka_topic_conf_destroy(topic_conf);
/* Let background threads clean up and terminate cleanly. */
run = 5;
while (run-- > 0 && rd_kafka_wait_destroyed(1000) == -1)
printf("Waiting for librdkafka to decommission\n");
if (run <= 0)
rd_kafka_dump(stdout, rk);
return 1;
}

int main (int argc, char **argv)
{
char parameter[] = "-t XX-HTTP-KEYWORD-LOG -b 10.10.6.101:9092,10.10.6.102:9092,10.10.6.104:9092";
char buf[1024];
initProducer(parameter);
while (run && fgets(buf, sizeof(buf), stdin)) {
if(rd_kafka_produce(rkt, partition, RD_KAFKA_MSG_F_COPY, buf, strlen(buf), NULL, 0, NULL) == -1){
fprintf(stderr, "%% Failed to produce to topic %s partition %i: %s\n", rd_kafka_topic_name(rkt), partition, rd_kafka_err2str(rd_kafka_last_error()));
}else{
fprintf(stderr, "%% Sent %zd bytes to topic %s partition %i\n", strlen(buf), rd_kafka_topic_name(rkt), partition);
}
}
freeProducer();
return 0;
}

[三] 编译运行

　　 编译的时候要加上

-lrdkafka -lz -lpthread -lrt这些选项：gcc myProducer.c -o myProducer

-lrdkafka -lz -lpthread -lrt

　　 在编译的时候会报error while loading share library librdkafak.so.1，这是因为make的时候将librdkafak.so.1放在了/usr/local/lib下，在Linux的默认共享库路径/lib和/usr/lib下找不到，只要执行下面两句就可以了：

　　 echo "/usr/local/lib" >> /etc/ld.so.conf
　　 ldconfig

　　 运行./myProducer，会不断的从终端读取键入的字符串，然后发送到Kafka，通过Kafka自带的console consumer能够消费查看数据。