SSL协议生产和消费消息
更新时间:2024-06-18
在 Kafka 集群所在 VPC 网络下或者公网环境访问,使用 SSL 协议接入,接入点可以在集群详情页面查看。
环境准备
- 安装GCC
- 安装C++ 依赖库。
yum install librdkafka-devel
集群准备
1. 购买专享版消息服务for Kafka集群
开通消息服务 for Kafka服务后,在控制台页面点击『创建集群』,即可进行购买。
2. 为购买的集群创建主题
在控制台页面点击集群名称,进入集群详情页面。
在左侧的边栏中点击『主题管理』,进入主题管理页面。
在主题管理页面点击『创建主题』,进行主题的创建。
使用步骤:
步骤一:获取集群接入点
具体请参考:接入点查看。
步骤二:下载证书文件
下载证书文件:如何下载证书?
步骤三:编写测试代码
生产者代码示例
创建KafkaProducerDemo.c文件,具体代码示例如下:
/*
* librdkafka - Apache Kafka C library
*
* Copyright (c) 2017, 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.
*/
/**
* Simple Apache Kafka producer
* using the Kafka driver from librdkafka
* (https://github.com/edenhill/librdkafka)
*/
#include <stdio.h>
#include <signal.h>
#include <string.h>
/* Typical include path would be <librdkafka/rdkafka.h>, but this program
* is builtin from within the librdkafka source tree and thus differs. */
#include "librdkafka/rdkafka.h"
static volatile sig_atomic_t run = 1;
/**
* @brief Signal termination of program
*/
static void stop(int sig) {
run = 0;
fclose(stdin); /* abort fgets() */
}
/**
* @brief Message delivery report callback.
*
* This callback is called exactly once per message, indicating if
* the message was succesfully delivered
* (rkmessage->err == RD_KAFKA_RESP_ERR_NO_ERROR) or permanently
* failed delivery (rkmessage->err != RD_KAFKA_RESP_ERR_NO_ERROR).
*
* The callback is triggered from rd_kafka_poll() and executes on
* the application's thread.
*/
static void dr_msg_cb(rd_kafka_t *rk, const rd_kafka_message_t *rkmessage, void *opaque) {
if (rkmessage->err) {
fprintf(stderr, "%% Message delivery failed: %s\n", rd_kafka_err2str(rkmessage->err));
} else {
fprintf(stderr, "%% Message delivered (%zd bytes, partition %" PRId32 ")\n", rkmessage->len, rkmessage->partition);
}
/* The rkmessage is destroyed automatically by librdkafka */
}
int main(int argc, char **argv) {
rd_kafka_t *rk; /* Producer instance handle */
rd_kafka_conf_t *conf; /* Temporary configuration object */
char errstr[512]; /* librdkafka API error reporting buffer */
char buf[512]; /* Message value temporary buffer */
const char *brokers; /* Argument: broker list */
const char *topic; /* Argument: topic to produce to */
/*
* Argument validation
*/
//检查参数配置
if (argc != 3) {
fprintf(stderr, "%% Usage: %s <broker> <topic>\n", argv[0]);
return 1;
}
// 接入点信息
brokers = argv[1];
// 主题名称
topic = argv[2];
/*
* Create Kafka client configuration place-holder
*/
conf = rd_kafka_conf_new();
/* Set bootstrap broker(s) as a comma-separated list of
* host or host:port (default port 9092).
* librdkafka will use the bootstrap brokers to acquire the full
* set of brokers from the cluster. */
if (rd_kafka_conf_set(conf, "bootstrap.servers", brokers, errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK) {
fprintf(stderr, "%s\n", errstr);
return 1;
}
if (
rd_kafka_conf_set(conf, "ssl.ca.location", "ca.pem", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "ssl.certificate.location", "client.pem", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "ssl.key.location", "client.key", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "security.protocol", "ssl", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
) {
fprintf(stderr, "%s\n", errstr);
return -1;
}
/* Set the delivery report callback.
* This callback will be called once per message to inform
* the application if delivery succeeded or failed.
* See dr_msg_cb() above.
* The callback is only triggered from rd_kafka_poll() and
* rd_kafka_flush(). */
rd_kafka_conf_set_dr_msg_cb(conf, dr_msg_cb);
/*
* Create producer instance.
*
* NOTE: rd_kafka_new() takes ownership of the conf object
* and the application must not reference it again after
* this call.
*/
rk = rd_kafka_new(RD_KAFKA_PRODUCER, conf, errstr, sizeof(errstr));
if (!rk) {
fprintf(stderr, "%% Failed to create new producer: %s\n", errstr);
return 1;
}
/* Signal handler for clean shutdown */
signal(SIGINT, stop);
fprintf(stderr,
"%% Type some text and hit enter to produce message\n"
"%% Or just hit enter to only serve delivery reports\n"
"%% Press Ctrl-C or Ctrl-D to exit\n");
while (run && fgets(buf, sizeof(buf), stdin)) {
size_t len = strlen(buf);
rd_kafka_resp_err_t err;
/* Remove newline */
if (buf[len - 1] == '\n') {
buf[--len] = '\0';
}
/* Empty line: only serve delivery reports */
if (len == 0) {
rd_kafka_poll(rk, 0/*non-blocking */);
continue;
}
/*
* Send/Produce message.
* This is an asynchronous call, on success it will only
* enqueue the message on the internal producer queue.
* The actual delivery attempts to the broker are handled
* by background threads.
* The previously registered delivery report callback
* (dr_msg_cb) is used to signal back to the application
* when the message has been delivered (or failed).
*/
retry:
err = rd_kafka_producev(
/* Producer handle */
rk,
/* Topic name */
RD_KAFKA_V_TOPIC(topic),
/* Make a copy of the payload. */
RD_KAFKA_V_MSGFLAGS(RD_KAFKA_MSG_F_COPY),
/* Message value and length */
RD_KAFKA_V_VALUE(buf, len),
/* Per-Message opaque, provided in
* delivery report callback as
* msg_opaque. */
RD_KAFKA_V_OPAQUE(NULL),
/* End sentinel */
RD_KAFKA_V_END
);
if (err) {
/*
* Failed to *enqueue* message for producing.
*/
fprintf(stderr,
"%% Failed to produce to topic %s: %s\n", topic,
rd_kafka_err2str(err));
if (err == RD_KAFKA_RESP_ERR__QUEUE_FULL) {
/* If the internal queue is full, wait for
* messages to be delivered and then retry.
* The internal queue represents both
* messages to be sent and messages that have
* been sent or failed, awaiting their
* delivery report callback to be called.
*
* The internal queue is limited by the
* configuration property
* queue.buffering.max.messages */
rd_kafka_poll(rk, 1000 /*block for max 1000ms*/);
goto retry;
}
} else {
fprintf(stderr, "%% Enqueued message (%zd bytes) "
"for topic %s\n",
len, topic);
}
/* A producer application should continually serve
* the delivery report queue by calling rd_kafka_poll()
* at frequent intervals.
* Either put the poll call in your main loop, or in a
* dedicated thread, or call it after every
* rd_kafka_produce() call.
* Just make sure that rd_kafka_poll() is still called
* during periods where you are not producing any messages
* to make sure previously produced messages have their
* delivery report callback served (and any other callbacks
* you register). */
rd_kafka_poll(rk, 0 /*non-blocking*/);
}
/* Wait for final messages to be delivered or fail.
* rd_kafka_flush() is an abstraction over rd_kafka_poll() which
* waits for all messages to be delivered. */
fprintf(stderr, "%% Flushing final messages..\n");
rd_kafka_flush(rk, 10 * 1000 /* wait for max 10 seconds */);
/* If the output queue is still not empty there is an issue
* with producing messages to the clusters. */
if (rd_kafka_outq_len(rk) > 0) {
fprintf(stderr, "%% %d message(s) were not delivered\n", rd_kafka_outq_len(rk));
}
/* Destroy the producer instance */
rd_kafka_destroy(rk);
return 0;
}
消费者代码示例
创建KafkaConsumerDemo.c文件,具体代码示例如下:
/*
* librdkafka - Apache Kafka C library
*
* Copyright (c) 2019, 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.
*/
/**
* Simple high-level balanced Apache Kafka consumer
* using the Kafka driver from librdkafka
* (https://github.com/edenhill/librdkafka)
*/
#include <stdio.h>
#include <signal.h>
#include <string.h>
#include <ctype.h>
/* Typical include path would be <librdkafka/rdkafka.h>, but this program
* is builtin from within the librdkafka source tree and thus differs. */
//#include <librdkafka/rdkafka.h>
#include "librdkafka/rdkafka.h"
static volatile sig_atomic_t run = 1;
/**
* @brief Signal termination of program
*/
static void stop(int sig) {
run = 0;
}
/**
* @returns 1 if all bytes are printable, else 0.
*/
static int is_printable(const char *buf, size_t size) {
size_t i;
for (i = 0; i < size; i++) {
if (!isprint((int)buf[i])) {
return 0;
}
}
return 1;
}
int main(int argc, char **argv) {
rd_kafka_t *rk; /* Consumer instance handle */
rd_kafka_conf_t *conf; /* Temporary configuration object */
rd_kafka_resp_err_t err; /* librdkafka API error code */
char errstr[512]; /* librdkafka API error reporting buffer */
const char *brokers; /* Argument: broker list */
const char *groupid; /* Argument: Consumer group id */
char **topics; /* Argument: list of topics to subscribe to */
int topic_cnt; /* Number of topics to subscribe to */
rd_kafka_topic_partition_list_t *subscription; /* Subscribed topics */
int i;
/*
* Argument validation
*/
if (argc < 4) {
fprintf(stderr, "%% Usage: %s <broker> <group.id> <topic1> <topic2>..\n", argv[0]);
return 1;
}
brokers = argv[1];
groupid = argv[2];
topics = &argv[3];
topic_cnt = argc - 3;
/*
* Create Kafka client configuration place-holder
*/
conf = rd_kafka_conf_new();
/* Set bootstrap broker(s) as a comma-separated list of
* host or host:port (default port 9092).
* librdkafka will use the bootstrap brokers to acquire the full
* set of brokers from the cluster. */
if (rd_kafka_conf_set(conf, "bootstrap.servers", brokers, errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK) {
fprintf(stderr, "%s\n", errstr);
rd_kafka_conf_destroy(conf);
return 1;
}
if (
rd_kafka_conf_set(conf, "ssl.ca.location", "client.truststore.pem", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "ssl.certificate.location", "client.pem", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "ssl.key.location", "client.key", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
|| rd_kafka_conf_set(conf, "security.protocol", "ssl", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK
) {
fprintf(stderr, "%s\n", errstr);
return -1;
}
/* Set the consumer group id.
* All consumers sharing the same group id will join the same
* group, and the subscribed topic' partitions will be assigned
* according to the partition.assignment.strategy
* (consumer config property) to the consumers in the group. */
if (rd_kafka_conf_set(conf, "group.id", groupid, errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK) {
fprintf(stderr, "%s\n", errstr);
rd_kafka_conf_destroy(conf);
return 1;
}
/* If there is no previously committed offset for a partition
* the auto.offset.reset strategy will be used to decide where
* in the partition to start fetching messages.
* By setting this to earliest the consumer will read all messages
* in the partition if there was no previously committed offset. */
if (rd_kafka_conf_set(conf, "auto.offset.reset", "earliest", errstr, sizeof(errstr)) != RD_KAFKA_CONF_OK) {
fprintf(stderr, "%s\n", errstr);
rd_kafka_conf_destroy(conf);
return 1;
}
/*
* Create consumer instance.
*
* NOTE: rd_kafka_new() takes ownership of the conf object
* and the application must not reference it again after
* this call.
*/
rk = rd_kafka_new(RD_KAFKA_CONSUMER, conf, errstr, sizeof(errstr));
if (!rk) {
fprintf(stderr, "%% Failed to create new consumer: %s\n", errstr);
return 1;
}
conf = NULL; /* Configuration object is now owned, and freed,
* by the rd_kafka_t instance. */
/* Redirect all messages from per-partition queues to
* the main queue so that messages can be consumed with one
* call from all assigned partitions.
*
* The alternative is to poll the main queue (for events)
* and each partition queue separately, which requires setting
* up a rebalance callback and keeping track of the assignment:
* but that is more complex and typically not recommended. */
rd_kafka_poll_set_consumer(rk);
/* Convert the list of topics to a format suitable for librdkafka */
subscription = rd_kafka_topic_partition_list_new(topic_cnt);
for (i = 0; i < topic_cnt; i++) {
rd_kafka_topic_partition_list_add(
subscription,
topics[i],
/* the partition is ignored
* by subscribe() */
RD_KAFKA_PARTITION_UA
);
}
/* Subscribe to the list of topics */
err = rd_kafka_subscribe(rk, subscription);
if (err) {
fprintf(stderr, "%% Failed to subscribe to %d topics: %s\n", subscription->cnt, rd_kafka_err2str(err));
rd_kafka_topic_partition_list_destroy(subscription);
rd_kafka_destroy(rk);
return 1;
}
fprintf(stderr,
"%% Subscribed to %d topic(s), "
"waiting for rebalance and messages...\n",
subscription->cnt);
rd_kafka_topic_partition_list_destroy(subscription);
/* Signal handler for clean shutdown */
signal(SIGINT, stop);
/* Subscribing to topics will trigger a group rebalance
* which may take some time to finish, but there is no need
* for the application to handle this idle period in a special way
* since a rebalance may happen at any time.
* Start polling for messages. */
while (run) {
rd_kafka_message_t *rkm;
rkm = rd_kafka_consumer_poll(rk, 100);
if (!rkm) {
continue; /* Timeout: no message within 100ms,
* try again. This short timeout allows
* checking for `run` at frequent intervals.
*/
}
/* consumer_poll() will return either a proper message
* or a consumer error (rkm->err is set). */
if (rkm->err) {
/* Consumer errors are generally to be considered
* informational as the consumer will automatically
* try to recover from all types of errors. */
fprintf(stderr, "%% Consumer error: %s\n", rd_kafka_message_errstr(rkm));
rd_kafka_message_destroy(rkm);
continue;
}
/* Proper message. */
printf("Message on %s [%" PRId32 "] at offset %" PRId64 ":\n",
rd_kafka_topic_name(rkm->rkt), rkm->partition,
rkm->offset);
/* Print the message key. */
if (rkm->key && is_printable(rkm->key, rkm->key_len)) {
printf(" Key: %.*s\n", (int)rkm->key_len, (const char *)rkm->key);
} else if (rkm->key) {
printf(" Key: (%d bytes)\n", (int)rkm->key_len);
}
/* Print the message value/payload. */
if (rkm->payload && is_printable(rkm->payload, rkm->len)) {
printf(" Value: %.*s\n", (int)rkm->len, (const char *)rkm->payload);
} else if (rkm->payload) {
printf(" Value: (%d bytes)\n", (int)rkm->len);
}
rd_kafka_message_destroy(rkm);
}
/* Close the consumer: commit final offsets and leave the group. */
fprintf(stderr, "%% Closing consumer\n");
rd_kafka_consumer_close(rk);
/* Destroy the consumer */
rd_kafka_destroy(rk);
return 0;
}
步骤四:编译并运行
编译并运行上述两个代码文件。
# 启动消费者
gcc -lrdkafka ./consumer.c -o consumer
./consumer <broker> <group.id> <topic1> <topic2>..
# 启动生产者
gcc -lrdkafka ./producer.c -o producer
./producer <broker> <topic>
步骤五:查看集群监控
查看消息是否发送成功或消费成功有两种方式:
- 在服务器端/控制台查看日志。
- 在专享版消息服务 for Kafka控制台查看集群监控,获取集群生产、消息情况。
推荐使用第二种方式,下面介绍如何查看集群监控。
(1)在专享版消息服务 for Kafka的控制台页面找到需要连接的集群,点击集群名称进入『集群详情』页面。
(2)页面跳转后,进入左侧边中的『集群详情』页面。
(3)点击左侧边栏中的『集群监控』,进入『集群监控』页面。
(4)通过查看『集群监控』页面,提供的不同纬度的监控信息(集群监控、节点监控、主题监控、消费组监控),即可获知集群的生产和消费情况。
集群监控的具体使用请参考:集群监控