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transactions.c
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transactions.c
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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.
*/
/**
* @name Transactions example for Apache Kafka 2.5.0 (KIP-447) and later.
*
* This example show-cases a simple transactional consume-process-produce
* application that reads messages from an input topic, extracts all
* numbers from the message's value string, adds them up, and sends
* the sum to the output topic as part of a transaction.
* The transaction is committed every 5 seconds or 100 messages, whichever
* comes first. As the transaction is committed a new transaction is started.
*
* This example makes use of incremental rebalancing (KIP-429) and the
* cooperative-sticky partition.assignment.strategy on the consumer, providing
* hitless rebalances.
*/
#include <stdio.h>
#include <signal.h>
#include <unistd.h>
#include <string.h>
#include <stdlib.h>
#include <time.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 "rdkafka.h"
static volatile sig_atomic_t run = 1;
/**
* @brief A fatal error has occurred, immediately exit the application.
*/
#define fatal(...) \
do { \
fprintf(stderr, "FATAL ERROR: "); \
fprintf(stderr, __VA_ARGS__); \
fprintf(stderr, "\n"); \
exit(1); \
} while (0)
/**
* @brief Same as fatal() but takes an rd_kafka_error_t object, prints its
* error message, destroys the object and then exits fatally.
*/
#define fatal_error(what, error) \
do { \
fprintf(stderr, "FATAL ERROR: %s: %s: %s\n", what, \
rd_kafka_error_name(error), \
rd_kafka_error_string(error)); \
rd_kafka_error_destroy(error); \
exit(1); \
} while (0)
/**
* @brief Signal termination of program
*/
static void stop(int sig) {
run = 0;
}
/**
* @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(), rd_kafka_flush(),
* rd_kafka_abort_transaction() and rd_kafka_commit_transaction() and
* executes on the application's thread.
*
* The current transactional will enter the abortable state if any
* message permanently fails delivery and the application must then
* call rd_kafka_abort_transaction(). But it does not need to be done from
* here, this state is checked by all the transactional APIs and it is better
* to perform this error checking when calling
* rd_kafka_send_offsets_to_transaction() and rd_kafka_commit_transaction().
* In the case of transactional producing the delivery report callback is
* mostly useful for logging the produce failures.
*/
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));
/* The rkmessage is destroyed automatically by librdkafka */
}
/**
* @brief Create a transactional producer.
*/
static rd_kafka_t *create_transactional_producer(const char *brokers,
const char *output_topic) {
rd_kafka_conf_t *conf = rd_kafka_conf_new();
rd_kafka_t *rk;
char errstr[256];
rd_kafka_error_t *error;
if (rd_kafka_conf_set(conf, "bootstrap.servers", brokers, errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK ||
rd_kafka_conf_set(conf, "transactional.id",
"librdkafka_transactions_example", errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK)
fatal("Failed to configure producer: %s", errstr);
/* This callback will be called once per message to indicate
* final delivery status. */
rd_kafka_conf_set_dr_msg_cb(conf, dr_msg_cb);
/* Create producer */
rk = rd_kafka_new(RD_KAFKA_PRODUCER, conf, errstr, sizeof(errstr));
if (!rk) {
rd_kafka_conf_destroy(conf);
fatal("Failed to create producer: %s", errstr);
}
/* Initialize transactions, this is only performed once
* per transactional producer to acquire its producer id, et.al. */
error = rd_kafka_init_transactions(rk, -1);
if (error)
fatal_error("init_transactions()", error);
return rk;
}
/**
* @brief Rewind consumer's consume position to the last committed offsets
* for the current assignment.
*/
static void rewind_consumer(rd_kafka_t *consumer) {
rd_kafka_topic_partition_list_t *offsets;
rd_kafka_resp_err_t err;
rd_kafka_error_t *error;
int i;
/* Get committed offsets for the current assignment, if there
* is a current assignment. */
err = rd_kafka_assignment(consumer, &offsets);
if (err) {
fprintf(stderr, "No current assignment to rewind: %s\n",
rd_kafka_err2str(err));
return;
}
if (offsets->cnt == 0) {
fprintf(stderr, "No current assignment to rewind\n");
rd_kafka_topic_partition_list_destroy(offsets);
return;
}
/* Note: Timeout must be lower than max.poll.interval.ms */
err = rd_kafka_committed(consumer, offsets, 10 * 1000);
if (err)
fatal("Failed to acquire committed offsets: %s",
rd_kafka_err2str(err));
/* Seek to committed offset, or start of partition if no
* committed offset is available. */
for (i = 0; i < offsets->cnt; i++) {
/* No committed offset, start from beginning */
if (offsets->elems[i].offset < 0)
offsets->elems[i].offset = RD_KAFKA_OFFSET_BEGINNING;
}
/* Perform seek */
error = rd_kafka_seek_partitions(consumer, offsets, -1);
if (error)
fatal_error("Failed to seek", error);
rd_kafka_topic_partition_list_destroy(offsets);
}
/**
* @brief Abort the current transaction and rewind consumer offsets to
* position where the transaction last started, i.e., the committed
* consumer offset, then begin a new transaction.
*/
static void abort_transaction_and_rewind(rd_kafka_t *consumer,
rd_kafka_t *producer) {
rd_kafka_error_t *error;
fprintf(stdout, "Aborting transaction and rewinding offsets\n");
/* Abort the current transaction */
error = rd_kafka_abort_transaction(producer, -1);
if (error)
fatal_error("Failed to abort transaction", error);
/* Rewind consumer */
rewind_consumer(consumer);
/* Begin a new transaction */
error = rd_kafka_begin_transaction(producer);
if (error)
fatal_error("Failed to begin transaction", error);
}
/**
* @brief Commit the current transaction.
*
* @returns 1 if transaction was successfully committed, or 0
* if the current transaction was aborted.
*/
static int commit_transaction(rd_kafka_t *consumer, rd_kafka_t *producer) {
rd_kafka_error_t *error;
rd_kafka_resp_err_t err;
rd_kafka_consumer_group_metadata_t *cgmd;
rd_kafka_topic_partition_list_t *offsets;
fprintf(stdout, "Committing transaction\n");
/* Send the input consumer's offset to transaction
* to commit those offsets along with the transaction itself,
* this is what guarantees exactly-once-semantics (EOS), that
* input (offsets) and output (messages) are committed atomically. */
/* Get the consumer's current group metadata state */
cgmd = rd_kafka_consumer_group_metadata(consumer);
/* Get consumer's current assignment */
err = rd_kafka_assignment(consumer, &offsets);
if (err || offsets->cnt == 0) {
/* No partition offsets to commit because consumer
* (most likely) lost the assignment, abort transaction. */
if (err)
fprintf(stderr,
"Failed to get consumer assignment to commit: "
"%s\n",
rd_kafka_err2str(err));
else
rd_kafka_topic_partition_list_destroy(offsets);
error = rd_kafka_abort_transaction(producer, -1);
if (error)
fatal_error("Failed to abort transaction", error);
return 0;
}
/* Get consumer's current position for this partition */
err = rd_kafka_position(consumer, offsets);
if (err)
fatal("Failed to get consumer position: %s",
rd_kafka_err2str(err));
/* Send offsets to transaction coordinator */
error =
rd_kafka_send_offsets_to_transaction(producer, offsets, cgmd, -1);
rd_kafka_consumer_group_metadata_destroy(cgmd);
rd_kafka_topic_partition_list_destroy(offsets);
if (error) {
if (rd_kafka_error_txn_requires_abort(error)) {
fprintf(stderr,
"WARNING: Failed to send offsets to "
"transaction: %s: %s: aborting transaction\n",
rd_kafka_error_name(error),
rd_kafka_error_string(error));
rd_kafka_error_destroy(error);
/* Abort transaction */
error = rd_kafka_abort_transaction(producer, -1);
if (error)
fatal_error("Failed to abort transaction",
error);
return 0;
} else {
fatal_error("Failed to send offsets to transaction",
error);
}
}
/* Commit the transaction */
error = rd_kafka_commit_transaction(producer, -1);
if (error) {
if (rd_kafka_error_txn_requires_abort(error)) {
fprintf(stderr,
"WARNING: Failed to commit transaction: "
"%s: %s: aborting transaction\n",
rd_kafka_error_name(error),
rd_kafka_error_string(error));
rd_kafka_error_destroy(error);
/* Abort transaction */
error = rd_kafka_abort_transaction(producer, -1);
if (error)
fatal_error("Failed to abort transaction",
error);
return 0;
} else {
fatal_error("Failed to commit transaction", error);
}
}
return 1;
}
/**
* @brief Commit the current transaction and start a new transaction.
*/
static void commit_transaction_and_start_new(rd_kafka_t *consumer,
rd_kafka_t *producer) {
rd_kafka_error_t *error;
/* Commit transaction.
* If commit failed the transaction is aborted and we need
* to rewind the consumer to the last committed offsets. */
if (!commit_transaction(consumer, producer))
rewind_consumer(consumer);
/* Begin new transaction */
error = rd_kafka_begin_transaction(producer);
if (error)
fatal_error("Failed to begin new transaction", error);
}
/**
* @brief The rebalance will be triggered (from rd_kafka_consumer_poll())
* when the consumer's partition assignment is assigned or revoked.
*/
static void
consumer_group_rebalance_cb(rd_kafka_t *consumer,
rd_kafka_resp_err_t err,
rd_kafka_topic_partition_list_t *partitions,
void *opaque) {
rd_kafka_t *producer = (rd_kafka_t *)opaque;
rd_kafka_error_t *error;
switch (err) {
case RD_KAFKA_RESP_ERR__ASSIGN_PARTITIONS:
fprintf(stdout,
"Consumer group rebalanced: "
"%d new partition(s) assigned\n",
partitions->cnt);
/* Start fetching messages for the assigned partitions
* and add them to the consumer's local assignment. */
error = rd_kafka_incremental_assign(consumer, partitions);
if (error)
fatal_error("Incremental assign failed", error);
break;
case RD_KAFKA_RESP_ERR__REVOKE_PARTITIONS:
if (rd_kafka_assignment_lost(consumer)) {
fprintf(stdout,
"Consumer group rebalanced: assignment lost: "
"aborting current transaction\n");
error = rd_kafka_abort_transaction(producer, -1);
if (error)
fatal_error("Failed to abort transaction",
error);
} else {
fprintf(stdout,
"Consumer group rebalanced: %d partition(s) "
"revoked: committing current transaction\n",
partitions->cnt);
commit_transaction(consumer, producer);
}
/* Begin new transaction */
error = rd_kafka_begin_transaction(producer);
if (error)
fatal_error("Failed to begin transaction", error);
/* Stop fetching messages for the revoekd partitions
* and remove them from the consumer's local assignment. */
error = rd_kafka_incremental_unassign(consumer, partitions);
if (error)
fatal_error("Incremental unassign failed", error);
break;
default:
/* NOTREACHED */
fatal("Unexpected rebalance event: %s", rd_kafka_err2name(err));
}
}
/**
* @brief Create the input consumer.
*/
static rd_kafka_t *create_input_consumer(const char *brokers,
const char *input_topic,
rd_kafka_t *producer) {
rd_kafka_conf_t *conf = rd_kafka_conf_new();
rd_kafka_t *rk;
char errstr[256];
rd_kafka_resp_err_t err;
rd_kafka_topic_partition_list_t *topics;
if (rd_kafka_conf_set(conf, "bootstrap.servers", brokers, errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK ||
rd_kafka_conf_set(conf, "group.id",
"librdkafka_transactions_example_group", errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK ||
rd_kafka_conf_set(conf, "partition.assignment.strategy",
"cooperative-sticky", errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK ||
rd_kafka_conf_set(conf, "auto.offset.reset", "earliest", errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK ||
/* The input consumer's offsets are explicitly committed with the
* output producer's transaction using
* rd_kafka_send_offsets_to_transaction(), so auto commits
* must be disabled. */
rd_kafka_conf_set(conf, "enable.auto.commit", "false", errstr,
sizeof(errstr)) != RD_KAFKA_CONF_OK) {
fatal("Failed to configure consumer: %s", errstr);
}
/* This callback will be called when the consumer group is rebalanced
* and the consumer's partition assignment is assigned or revoked. */
rd_kafka_conf_set_rebalance_cb(conf, consumer_group_rebalance_cb);
/* The producer handle is needed in the consumer's rebalance callback
* to be able to abort and commit transactions, so we pass the
* producer as the consumer's opaque. */
rd_kafka_conf_set_opaque(conf, producer);
/* Create consumer */
rk = rd_kafka_new(RD_KAFKA_CONSUMER, conf, errstr, sizeof(errstr));
if (!rk) {
rd_kafka_conf_destroy(conf);
fatal("Failed to create consumer: %s", errstr);
}
/* Forward all partition messages to the main queue and
* rd_kafka_consumer_poll(). */
rd_kafka_poll_set_consumer(rk);
/* Subscribe to the input topic */
topics = rd_kafka_topic_partition_list_new(1);
rd_kafka_topic_partition_list_add(topics, input_topic,
/* The partition is ignored in
* rd_kafka_subscribe() */
RD_KAFKA_PARTITION_UA);
err = rd_kafka_subscribe(rk, topics);
rd_kafka_topic_partition_list_destroy(topics);
if (err) {
rd_kafka_destroy(rk);
fatal("Failed to subscribe to %s: %s\n", input_topic,
rd_kafka_err2str(err));
}
return rk;
}
/**
* @brief Find and parse next integer string in \p start.
* @returns Pointer after found integer string, or NULL if not found.
*/
static const void *
find_next_int(const void *start, const void *end, int *intp) {
const char *p;
int collecting = 0;
int num = 0;
for (p = (const char *)start; p < (const char *)end; p++) {
if (isdigit((int)(*p))) {
collecting = 1;
num = (num * 10) + ((int)*p - ((int)'0'));
} else if (collecting)
break;
}
if (!collecting)
return NULL; /* No integer string found */
*intp = num;
return p;
}
/**
* @brief Process a message from the input consumer by parsing all
* integer strings, adding them, and then producing the sum
* the output topic using the transactional producer for the given
* inut partition.
*/
static void process_message(rd_kafka_t *consumer,
rd_kafka_t *producer,
const char *output_topic,
const rd_kafka_message_t *rkmessage) {
int num;
long unsigned sum = 0;
const void *p, *end;
rd_kafka_resp_err_t err;
char value[64];
if (rkmessage->len == 0)
return; /* Ignore empty messages */
p = rkmessage->payload;
end = ((const char *)rkmessage->payload) + rkmessage->len;
/* Find and sum all numbers in the message */
while ((p = find_next_int(p, end, &num)))
sum += num;
if (sum == 0)
return; /* No integers in message, ignore it. */
snprintf(value, sizeof(value), "%lu", sum);
/* Emit output message on transactional producer */
while (1) {
err = rd_kafka_producev(
producer, RD_KAFKA_V_TOPIC(output_topic),
/* Use same key as input message */
RD_KAFKA_V_KEY(rkmessage->key, rkmessage->key_len),
/* Value is the current sum of this
* transaction. */
RD_KAFKA_V_VALUE(value, strlen(value)),
/* Copy value since it is allocated on the stack */
RD_KAFKA_V_MSGFLAGS(RD_KAFKA_MSG_F_COPY), RD_KAFKA_V_END);
if (!err)
break;
else if (err == RD_KAFKA_RESP_ERR__QUEUE_FULL) {
/* If output queue fills up we need to wait for
* some delivery reports and then retry. */
rd_kafka_poll(producer, 100);
continue;
} else {
fprintf(stderr,
"WARNING: Failed to produce message to %s: "
"%s: aborting transaction\n",
output_topic, rd_kafka_err2str(err));
abort_transaction_and_rewind(consumer, producer);
return;
}
}
}
int main(int argc, char **argv) {
rd_kafka_t *producer, *consumer;
int msgcnt = 0;
time_t last_commit = 0;
const char *brokers, *input_topic, *output_topic;
rd_kafka_error_t *error;
/*
* Argument validation
*/
if (argc != 4) {
fprintf(stderr,
"%% Usage: %s <broker> <input-topic> <output-topic>\n",
argv[0]);
return 1;
}
brokers = argv[1];
input_topic = argv[2];
output_topic = argv[3];
/* Signal handler for clean shutdown */
signal(SIGINT, stop);
producer = create_transactional_producer(brokers, output_topic);
consumer = create_input_consumer(brokers, input_topic, producer);
fprintf(stdout,
"Expecting integers to sum on input topic %s ...\n"
"To generate input messages you can use:\n"
" $ seq 1 100 | examples/producer %s %s\n"
"Observe summed integers on output topic %s:\n"
" $ examples/consumer %s just-watching %s\n"
"\n",
input_topic, brokers, input_topic, output_topic, brokers,
output_topic);
/* Begin transaction and start waiting for messages */
error = rd_kafka_begin_transaction(producer);
if (error)
fatal_error("Failed to begin transaction", error);
while (run) {
rd_kafka_message_t *msg;
/* Commit transaction every 100 messages or 5 seconds */
if (msgcnt > 0 &&
(msgcnt > 100 || last_commit + 5 <= time(NULL))) {
printf("msgcnt %d, elapsed %d\n", msgcnt,
(int)(time(NULL) - last_commit));
commit_transaction_and_start_new(consumer, producer);
msgcnt = 0;
last_commit = time(NULL);
}
/* Wait for new mesages or error events */
msg = rd_kafka_consumer_poll(consumer, 1000 /*1 second*/);
if (!msg)
continue; /* Poll timeout */
if (msg->err) {
/* Client errors are typically just informational
* since the client will automatically try to recover
* from all types of errors.
* It is thus sufficient for the application to log and
* continue operating when a consumer error is
* encountered. */
fprintf(stderr, "WARNING: Consumer error: %s\n",
rd_kafka_message_errstr(msg));
rd_kafka_message_destroy(msg);
continue;
}
/* Process message */
process_message(consumer, producer, output_topic, msg);
rd_kafka_message_destroy(msg);
msgcnt++;
}
fprintf(stdout, "Closing consumer\n");
rd_kafka_consumer_close(consumer);
rd_kafka_destroy(consumer);
fprintf(stdout, "Closing producer\n");
rd_kafka_destroy(producer);
return 0;
}