summaryrefslogtreecommitdiffstats
path: root/src/fluent-bit/lib/librdkafka-2.1.0/tests/0122-buffer_cleaning_after_rebalance.c
blob: 4f8727017f088f3b49bf2e3d480f26483f6c32f1 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
/*
 * 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.
 */

#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 */

typedef struct consumer_s {
        const char *what;
        rd_kafka_queue_t *rkq;
        int timeout_ms;
        int consume_msg_cnt;
        int expected_msg_cnt;
        rd_kafka_t *rk;
        uint64_t testid;
        test_msgver_t *mv;
        struct test *test;
} consumer_t;

static int consumer_batch_queue(void *arg) {
        consumer_t *arguments = arg;
        int msg_cnt           = 0;
        int i;
        test_timing_t t_cons;

        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;
        rd_kafka_message_t **rkmessage =
            malloc(consume_msg_cnt * sizeof(*rkmessage));

        if (arguments->test)
                test_curr = arguments->test;

        TEST_SAY(
            "%s calling consume_batch_queue(timeout=%d, msgs=%d) "
            "and expecting %d messages back\n",
            rd_kafka_name(rk), timeout_ms, consume_msg_cnt,
            arguments->expected_msg_cnt);

        TIMING_START(&t_cons, "CONSUME");
        msg_cnt = (int)rd_kafka_consume_batch_queue(rkq, timeout_ms, rkmessage,
                                                    consume_msg_cnt);
        TIMING_STOP(&t_cons);

        TEST_SAY("%s consumed %d/%d/%d message(s)\n", rd_kafka_name(rk),
                 msg_cnt, arguments->consume_msg_cnt,
                 arguments->expected_msg_cnt);
        TEST_ASSERT(msg_cnt == arguments->expected_msg_cnt,
                    "consumed %d messages, expected %d", msg_cnt,
                    arguments->expected_msg_cnt);

        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]);
        }

        free(rkmessage);

        return 0;
}


/**
 * @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 = 12000; /* Must be > rebalance time */
        uint64_t testid;
        const int consume_msg_cnt = 500;
        const int produce_msg_cnt = 400;
        rd_kafka_conf_t *conf;
        consumer_t c1_args = RD_ZERO_INIT;
        consumer_t c2_args = RD_ZERO_INIT;
        test_msgver_t mv;
        thrd_t thread_id;

        SUB_TEST("partition.assignment.strategy = %s", strategy);

        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);

        testid = test_id_generate();
        test_msgver_init(&mv, testid);

        /* Produce messages */
        topic = test_mk_topic_name("0122-buffer_cleaning", 1);

        for (p = 0; p < partition_cnt; p++)
                test_produce_msgs_easy(topic, testid, p,
                                       produce_msg_cnt / partition_cnt);

        /* Create consumers */
        c1 = test_create_consumer(topic, NULL, rd_kafka_conf_dup(conf), NULL);
        c2 = test_create_consumer(topic, NULL, conf, NULL);

        test_consumer_subscribe(c1, topic);
        test_consumer_wait_assignment(c1, rd_false);

        /* Create generic consume queue */
        rkq1 = rd_kafka_queue_get_consumer(c1);

        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.expected_msg_cnt = produce_msg_cnt / 2;
        c1_args.rk               = c1;
        c1_args.testid           = testid;
        c1_args.mv               = &mv;
        c1_args.test             = test_curr;
        if (thrd_create(&thread_id, consumer_batch_queue, &c1_args) !=
            thrd_success)
                TEST_FAIL("Failed to create thread for %s", "C1.PRE");

        test_consumer_subscribe(c2, topic);
        test_consumer_wait_assignment(c2, rd_false);

        thrd_join(thread_id, NULL);

        /* Create generic consume queue */
        rkq2 = rd_kafka_queue_get_consumer(c2);

        c2_args.what = "C2.PRE";
        c2_args.rkq  = rkq2;
        /* Second consumer should be able to consume all messages right away */
        c2_args.timeout_ms       = 5000;
        c2_args.consume_msg_cnt  = consume_msg_cnt;
        c2_args.expected_msg_cnt = produce_msg_cnt / 2;
        c2_args.rk               = c2;
        c2_args.testid           = testid;
        c2_args.mv               = &mv;

        consumer_batch_queue(&c2_args);

        test_msgver_verify("C1.PRE + C2.PRE", &mv,
                           TEST_MSGVER_ORDER | TEST_MSGVER_DUP, 0,
                           produce_msg_cnt);
        test_msgver_clear(&mv);

        rd_kafka_queue_destroy(rkq1);
        rd_kafka_queue_destroy(rkq2);

        test_consumer_close(c1);
        test_consumer_close(c2);

        rd_kafka_destroy(c1);
        rd_kafka_destroy(c2);

        SUB_TEST_PASS();
}


int main_0122_buffer_cleaning_after_rebalance(int argc, char **argv) {
        do_test_consume_batch("range");
        do_test_consume_batch("cooperative-sticky");
        return 0;
}