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Clean consume_batch..() buffer after rebalancing for batch queue (@jl…
…iunyu, #3269) Issue: Buffer is not cleaned after rebalance if messages are polled using the batch queue method, so the consumer will still get old messages. Solution: when assign happens, a new op event with type RD_KAFKA_OP_BARRIER will be created, a new version is been created at mean time. If the consumer met this event, will clean the buffer by comparing the version of msgs and the new version just created.
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/* | ||
* librdkafka - Apache Kafka C library | ||
* | ||
* Copyright (c) 2021, 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. | ||
*/ | ||
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#include "test.h" | ||
/* Typical include path would be <librdkafka/rdkafka.h>, but this program | ||
* is built from within the librdkafka source tree and thus differs. */ | ||
#include "rdkafka.h" /* for Kafka driver */ | ||
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typedef struct consumer_s { | ||
const char *what; | ||
rd_kafka_queue_t *rkq; | ||
int timeout_ms; | ||
int consume_msg_cnt; | ||
rd_kafka_t *rk; | ||
uint64_t testid; | ||
test_msgver_t *mv; | ||
} consumer_t; | ||
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static int consumer_batch_queue (void *arg) { | ||
consumer_t *arguments = arg; | ||
int msg_cnt = 0; | ||
int i; | ||
test_timing_t t_cons; | ||
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rd_kafka_queue_t *rkq = arguments->rkq; | ||
int timeout_ms = arguments->timeout_ms; | ||
const int consume_msg_cnt = arguments->consume_msg_cnt; | ||
rd_kafka_t *rk = arguments->rk; | ||
uint64_t testid = arguments->testid; | ||
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rd_kafka_message_t **rkmessage = malloc(consume_msg_cnt * sizeof(*rkmessage)); | ||
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TIMING_START(&t_cons, "CONSUME"); | ||
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msg_cnt = rd_kafka_consume_batch_queue(rkq, | ||
timeout_ms, rkmessage, consume_msg_cnt); | ||
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TIMING_STOP(&t_cons); | ||
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for (i = 0; i < msg_cnt; i++) { | ||
if (test_msgver_add_msg(rk, arguments->mv, rkmessage[i]) == 0) | ||
TEST_FAIL("The message is not from testid " | ||
"%"PRId64" \n", testid); | ||
rd_kafka_message_destroy(rkmessage[i]); | ||
} | ||
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return 0; | ||
} | ||
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/** | ||
* @brief Produce 400 messages and consume 500 messages totally by 2 consumers | ||
* using batch queue method, verify if there isn't any missed or | ||
* duplicate messages received by the two consumers. | ||
* The reasons for setting the consume messages number is higher than | ||
* or equal to the produce messages number are: | ||
* 1) Make sure each consumer can at most receive half of the produced | ||
* messages even though the consumers expect more. | ||
* 2) If the consume messages number is smaller than the produce | ||
* messages number, it's hard to verify that the messages returned | ||
* are added to the batch queue before or after the rebalancing. | ||
* But if the consume messages number is larger than the produce | ||
* messages number, and we still received half of the produced | ||
* messages by each consumer, we can make sure that the buffer | ||
* cleaning is happened during the batch queue process to guarantee | ||
* only received messages added to the batch queue after the | ||
* rebalance. | ||
* | ||
* 1. Produce 100 messages to each of the 4 partitions | ||
* 2. First consumer subscribes to the topic, wait for it's assignment | ||
* 3. The first consumer consumes 500 messages using the batch queue | ||
* method | ||
* 4. Second consumer subscribes to the topic, wait for it's assignment | ||
* 5. Rebalance happenes | ||
* 6. The second consumer consumes 500 messages using the batch queue | ||
* method | ||
* 7. Each consumer receives 200 messages finally | ||
* 8. Combine all the messages received by the 2 consumers and | ||
* verify if there isn't any missed or duplicate messages | ||
* | ||
*/ | ||
static void do_test_consume_batch (const char *strategy) { | ||
const int partition_cnt = 4; | ||
rd_kafka_queue_t *rkq1, *rkq2; | ||
const char *topic; | ||
rd_kafka_t *c1; | ||
rd_kafka_t *c2; | ||
int p; | ||
const int timeout_ms = 30000; | ||
uint64_t testid; | ||
const int consume_msg_cnt = 500; | ||
const int produce_msg_cnt = 400; | ||
rd_kafka_conf_t *conf; | ||
consumer_t c1_args; | ||
consumer_t c2_args; | ||
test_msgver_t mv; | ||
thrd_t thread_id; | ||
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SUB_TEST("partition.assignment.strategy = %s", strategy); | ||
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test_conf_init(&conf, NULL, 60); | ||
test_conf_set(conf, "enable.auto.commit", "false"); | ||
test_conf_set(conf, "auto.offset.reset", "earliest"); | ||
test_conf_set(conf, "partition.assignment.strategy", strategy); | ||
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testid = test_id_generate(); | ||
test_msgver_init(&mv, testid); | ||
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/* Produce messages */ | ||
topic = test_mk_topic_name("0122-buffer_cleaning", 1); | ||
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for (p = 0 ; p < partition_cnt ; p++) | ||
test_produce_msgs_easy(topic, | ||
testid, | ||
p, | ||
produce_msg_cnt / partition_cnt); | ||
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/* Create consumers */ | ||
c1 = test_create_consumer(topic, NULL, | ||
rd_kafka_conf_dup(conf), NULL); | ||
c2 = test_create_consumer(topic, NULL, conf, NULL); | ||
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test_consumer_subscribe(c1, topic); | ||
test_consumer_wait_assignment(c1, rd_false); | ||
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/* Create generic consume queue */ | ||
rkq1 = rd_kafka_queue_get_consumer(c1); | ||
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c1_args.what = "C1.PRE"; | ||
c1_args.rkq = rkq1; | ||
c1_args.timeout_ms = timeout_ms; | ||
c1_args.consume_msg_cnt = consume_msg_cnt; | ||
c1_args.rk = c1; | ||
c1_args.testid = testid; | ||
c1_args.mv = &mv; | ||
if (thrd_create(&thread_id, consumer_batch_queue, &c1_args) | ||
!= thrd_success) | ||
TEST_FAIL("Failed to create thread for %s", "C1.PRE"); | ||
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test_consumer_subscribe(c2, topic); | ||
test_consumer_wait_assignment(c2, rd_false); | ||
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thrd_join(thread_id, NULL); | ||
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/* Create generic consume queue */ | ||
rkq2 = rd_kafka_queue_get_consumer(c2); | ||
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c2_args.what = "C2.PRE"; | ||
c2_args.rkq = rkq2; | ||
c2_args.timeout_ms = timeout_ms; | ||
c2_args.consume_msg_cnt = consume_msg_cnt; | ||
c2_args.rk = c2; | ||
c2_args.testid = testid; | ||
c2_args.mv = &mv; | ||
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consumer_batch_queue(&c2_args); | ||
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test_msgver_verify("C1.PRE + C2.PRE", | ||
&mv, | ||
TEST_MSGVER_ORDER|TEST_MSGVER_DUP, | ||
0, | ||
produce_msg_cnt); | ||
test_msgver_clear(&mv); | ||
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rd_kafka_queue_destroy(rkq1); | ||
rd_kafka_queue_destroy(rkq2); | ||
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test_consumer_close(c1); | ||
test_consumer_close(c2); | ||
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rd_kafka_destroy(c1); | ||
rd_kafka_destroy(c2); | ||
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SUB_TEST_PASS(); | ||
} | ||
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int main_0122_buffer_cleaning_after_rebalance (int argc, char **argv) { | ||
do_test_consume_batch("range"); | ||
do_test_consume_batch("cooperative-sticky"); | ||
return 0; | ||
} |
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