summaryrefslogtreecommitdiffstats
path: root/fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c
diff options
context:
space:
mode:
Diffstat (limited to 'fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c')
-rw-r--r--fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c1780
1 files changed, 1780 insertions, 0 deletions
diff --git a/fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c b/fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c
new file mode 100644
index 000000000..a12bb7471
--- /dev/null
+++ b/fluent-bit/lib/librdkafka-2.1.0/examples/rdkafka_performance.c
@@ -0,0 +1,1780 @@
+/*
+ * librdkafka - Apache Kafka C library
+ *
+ * Copyright (c) 2012, 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.
+ */
+
+/**
+ * Apache Kafka consumer & producer performance tester
+ * using the Kafka driver from librdkafka
+ * (https://github.com/edenhill/librdkafka)
+ */
+
+#ifdef _MSC_VER
+#define _CRT_SECURE_NO_WARNINGS /* Silence nonsense on MSVC */
+#endif
+
+#include "../src/rd.h"
+
+#define _GNU_SOURCE /* for strndup() */
+#include <ctype.h>
+#include <signal.h>
+#include <string.h>
+#include <errno.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 */
+/* Do not include these defines from your program, they will not be
+ * provided by librdkafka. */
+#include "rd.h"
+#include "rdtime.h"
+
+#ifdef _WIN32
+#include "../win32/wingetopt.h"
+#include "../win32/wintime.h"
+#endif
+
+
+static volatile sig_atomic_t run = 1;
+static int forever = 1;
+static rd_ts_t dispintvl = 1000;
+static int do_seq = 0;
+static int exit_after = 0;
+static int exit_eof = 0;
+static FILE *stats_fp;
+static int dr_disp_div;
+static int verbosity = 1;
+static int latency_mode = 0;
+static FILE *latency_fp = NULL;
+static int msgcnt = -1;
+static int incremental_mode = 0;
+static int partition_cnt = 0;
+static int eof_cnt = 0;
+static int with_dr = 1;
+static int read_hdrs = 0;
+
+
+static void stop(int sig) {
+ if (!run)
+ exit(0);
+ run = 0;
+}
+
+static long int msgs_wait_cnt = 0;
+static long int msgs_wait_produce_cnt = 0;
+static rd_ts_t t_end;
+static rd_kafka_t *global_rk;
+
+struct avg {
+ int64_t val;
+ int cnt;
+ uint64_t ts_start;
+};
+
+static struct {
+ rd_ts_t t_start;
+ rd_ts_t t_end;
+ rd_ts_t t_end_send;
+ uint64_t msgs;
+ uint64_t msgs_last;
+ uint64_t msgs_dr_ok;
+ uint64_t msgs_dr_err;
+ uint64_t bytes_dr_ok;
+ uint64_t bytes;
+ uint64_t bytes_last;
+ uint64_t tx;
+ uint64_t tx_err;
+ uint64_t avg_rtt;
+ uint64_t offset;
+ rd_ts_t t_fetch_latency;
+ rd_ts_t t_last;
+ rd_ts_t t_enobufs_last;
+ rd_ts_t t_total;
+ rd_ts_t latency_last;
+ rd_ts_t latency_lo;
+ rd_ts_t latency_hi;
+ rd_ts_t latency_sum;
+ int latency_cnt;
+ int64_t last_offset;
+} cnt;
+
+
+uint64_t wall_clock(void) {
+ struct timeval tv;
+ gettimeofday(&tv, NULL);
+ return ((uint64_t)tv.tv_sec * 1000000LLU) + ((uint64_t)tv.tv_usec);
+}
+
+static void err_cb(rd_kafka_t *rk, int err, const char *reason, void *opaque) {
+ if (err == RD_KAFKA_RESP_ERR__FATAL) {
+ char errstr[512];
+ err = rd_kafka_fatal_error(rk, errstr, sizeof(errstr));
+ printf("%% FATAL ERROR CALLBACK: %s: %s: %s\n",
+ rd_kafka_name(rk), rd_kafka_err2str(err), errstr);
+ } else {
+ printf("%% ERROR CALLBACK: %s: %s: %s\n", rd_kafka_name(rk),
+ rd_kafka_err2str(err), reason);
+ }
+}
+
+static void throttle_cb(rd_kafka_t *rk,
+ const char *broker_name,
+ int32_t broker_id,
+ int throttle_time_ms,
+ void *opaque) {
+ printf("%% THROTTLED %dms by %s (%" PRId32 ")\n", throttle_time_ms,
+ broker_name, broker_id);
+}
+
+static void offset_commit_cb(rd_kafka_t *rk,
+ rd_kafka_resp_err_t err,
+ rd_kafka_topic_partition_list_t *offsets,
+ void *opaque) {
+ int i;
+
+ if (err || verbosity >= 2)
+ printf("%% Offset commit of %d partition(s): %s\n",
+ offsets->cnt, rd_kafka_err2str(err));
+
+ for (i = 0; i < offsets->cnt; i++) {
+ rd_kafka_topic_partition_t *rktpar = &offsets->elems[i];
+ if (rktpar->err || verbosity >= 2)
+ printf("%% %s [%" PRId32 "] @ %" PRId64 ": %s\n",
+ rktpar->topic, rktpar->partition, rktpar->offset,
+ rd_kafka_err2str(err));
+ }
+}
+
+/**
+ * @brief Add latency measurement
+ */
+static void latency_add(int64_t ts, const char *who) {
+ if (ts > cnt.latency_hi)
+ cnt.latency_hi = ts;
+ if (!cnt.latency_lo || ts < cnt.latency_lo)
+ cnt.latency_lo = ts;
+ cnt.latency_last = ts;
+ cnt.latency_cnt++;
+ cnt.latency_sum += ts;
+ if (latency_fp)
+ fprintf(latency_fp, "%" PRIu64 "\n", ts);
+}
+
+
+static void msg_delivered(rd_kafka_t *rk,
+ const rd_kafka_message_t *rkmessage,
+ void *opaque) {
+ static rd_ts_t last;
+ rd_ts_t now = rd_clock();
+ static int msgs;
+
+ msgs++;
+
+ msgs_wait_cnt--;
+
+ if (rkmessage->err)
+ cnt.msgs_dr_err++;
+ else {
+ cnt.msgs_dr_ok++;
+ cnt.bytes_dr_ok += rkmessage->len;
+ }
+
+ if (latency_mode) {
+ /* Extract latency */
+ int64_t source_ts;
+ if (sscanf(rkmessage->payload, "LATENCY:%" SCNd64,
+ &source_ts) == 1)
+ latency_add(wall_clock() - source_ts, "producer");
+ }
+
+
+ if ((rkmessage->err && (cnt.msgs_dr_err < 50 ||
+ !(cnt.msgs_dr_err % (dispintvl / 1000)))) ||
+ !last || msgs_wait_cnt < 5 || !(msgs_wait_cnt % dr_disp_div) ||
+ (now - last) >= dispintvl * 1000 || verbosity >= 3) {
+ if (rkmessage->err && verbosity >= 2)
+ printf("%% Message delivery failed (broker %" PRId32
+ "): "
+ "%s [%" PRId32
+ "]: "
+ "%s (%li remain)\n",
+ rd_kafka_message_broker_id(rkmessage),
+ rd_kafka_topic_name(rkmessage->rkt),
+ rkmessage->partition,
+ rd_kafka_err2str(rkmessage->err), msgs_wait_cnt);
+ else if (verbosity > 2)
+ printf("%% Message delivered (offset %" PRId64
+ ", broker %" PRId32
+ "): "
+ "%li remain\n",
+ rkmessage->offset,
+ rd_kafka_message_broker_id(rkmessage),
+ msgs_wait_cnt);
+ if (verbosity >= 3 && do_seq)
+ printf(" --> \"%.*s\"\n", (int)rkmessage->len,
+ (const char *)rkmessage->payload);
+ last = now;
+ }
+
+ cnt.last_offset = rkmessage->offset;
+
+ if (msgs_wait_produce_cnt == 0 && msgs_wait_cnt == 0 && !forever) {
+ if (verbosity >= 2 && cnt.msgs > 0) {
+ double error_percent =
+ (double)(cnt.msgs - cnt.msgs_dr_ok) / cnt.msgs *
+ 100;
+ printf(
+ "%% Messages delivered with failure "
+ "percentage of %.5f%%\n",
+ error_percent);
+ }
+ t_end = rd_clock();
+ run = 0;
+ }
+
+ if (exit_after && exit_after <= msgs) {
+ printf("%% Hard exit after %i messages, as requested\n",
+ exit_after);
+ exit(0);
+ }
+}
+
+
+static void msg_consume(rd_kafka_message_t *rkmessage, void *opaque) {
+
+ if (rkmessage->err) {
+ if (rkmessage->err == RD_KAFKA_RESP_ERR__PARTITION_EOF) {
+ cnt.offset = rkmessage->offset;
+
+ if (verbosity >= 1)
+ printf(
+ "%% Consumer reached end of "
+ "%s [%" PRId32
+ "] "
+ "message queue at offset %" PRId64 "\n",
+ rd_kafka_topic_name(rkmessage->rkt),
+ rkmessage->partition, rkmessage->offset);
+
+ if (exit_eof && ++eof_cnt == partition_cnt)
+ run = 0;
+
+ return;
+ }
+
+ printf("%% Consume error for topic \"%s\" [%" PRId32
+ "] "
+ "offset %" PRId64 ": %s\n",
+ rkmessage->rkt ? rd_kafka_topic_name(rkmessage->rkt)
+ : "",
+ rkmessage->partition, rkmessage->offset,
+ rd_kafka_message_errstr(rkmessage));
+
+ if (rkmessage->err == RD_KAFKA_RESP_ERR__UNKNOWN_PARTITION ||
+ rkmessage->err == RD_KAFKA_RESP_ERR__UNKNOWN_TOPIC)
+ run = 0;
+
+ cnt.msgs_dr_err++;
+ return;
+ }
+
+ /* Start measuring from first message received */
+ if (!cnt.t_start)
+ cnt.t_start = cnt.t_last = rd_clock();
+
+ cnt.offset = rkmessage->offset;
+ cnt.msgs++;
+ cnt.bytes += rkmessage->len;
+
+ if (verbosity >= 3 || (verbosity >= 2 && !(cnt.msgs % 1000000)))
+ printf("@%" PRId64 ": %.*s: %.*s\n", rkmessage->offset,
+ (int)rkmessage->key_len, (char *)rkmessage->key,
+ (int)rkmessage->len, (char *)rkmessage->payload);
+
+
+ if (latency_mode) {
+ int64_t remote_ts, ts;
+
+ if (rkmessage->len > 8 &&
+ !memcmp(rkmessage->payload, "LATENCY:", 8) &&
+ sscanf(rkmessage->payload, "LATENCY:%" SCNd64,
+ &remote_ts) == 1) {
+ ts = wall_clock() - remote_ts;
+ if (ts > 0 && ts < (1000000 * 60 * 5)) {
+ latency_add(ts, "consumer");
+ } else {
+ if (verbosity >= 1)
+ printf(
+ "Received latency timestamp is too "
+ "far off: %" PRId64
+ "us (message offset %" PRId64
+ "): ignored\n",
+ ts, rkmessage->offset);
+ }
+ } else if (verbosity > 1)
+ printf("not a LATENCY payload: %.*s\n",
+ (int)rkmessage->len, (char *)rkmessage->payload);
+ }
+
+ if (read_hdrs) {
+ rd_kafka_headers_t *hdrs;
+ /* Force parsing of headers but don't do anything with them. */
+ rd_kafka_message_headers(rkmessage, &hdrs);
+ }
+
+ if (msgcnt != -1 && (int)cnt.msgs >= msgcnt)
+ run = 0;
+}
+
+
+static void rebalance_cb(rd_kafka_t *rk,
+ rd_kafka_resp_err_t err,
+ rd_kafka_topic_partition_list_t *partitions,
+ void *opaque) {
+ rd_kafka_error_t *error = NULL;
+ rd_kafka_resp_err_t ret_err = RD_KAFKA_RESP_ERR_NO_ERROR;
+
+ if (exit_eof && !strcmp(rd_kafka_rebalance_protocol(rk), "COOPERATIVE"))
+ fprintf(stderr,
+ "%% This example has not been modified to "
+ "support -e (exit on EOF) when "
+ "partition.assignment.strategy "
+ "is set to an incremental/cooperative strategy: "
+ "-e will not behave as expected\n");
+
+ switch (err) {
+ case RD_KAFKA_RESP_ERR__ASSIGN_PARTITIONS:
+ fprintf(stderr,
+ "%% Group rebalanced (%s): "
+ "%d new partition(s) assigned\n",
+ rd_kafka_rebalance_protocol(rk), partitions->cnt);
+
+ if (!strcmp(rd_kafka_rebalance_protocol(rk), "COOPERATIVE")) {
+ error = rd_kafka_incremental_assign(rk, partitions);
+ } else {
+ ret_err = rd_kafka_assign(rk, partitions);
+ eof_cnt = 0;
+ }
+
+ partition_cnt += partitions->cnt;
+ break;
+
+ case RD_KAFKA_RESP_ERR__REVOKE_PARTITIONS:
+ fprintf(stderr,
+ "%% Group rebalanced (%s): %d partition(s) revoked\n",
+ rd_kafka_rebalance_protocol(rk), partitions->cnt);
+
+ if (!strcmp(rd_kafka_rebalance_protocol(rk), "COOPERATIVE")) {
+ error = rd_kafka_incremental_unassign(rk, partitions);
+ partition_cnt -= partitions->cnt;
+ } else {
+ ret_err = rd_kafka_assign(rk, NULL);
+ partition_cnt = 0;
+ }
+
+ eof_cnt = 0; /* FIXME: Not correct for incremental case */
+ break;
+
+ default:
+ break;
+ }
+
+ if (error) {
+ fprintf(stderr, "%% incremental assign failure: %s\n",
+ rd_kafka_error_string(error));
+ rd_kafka_error_destroy(error);
+ } else if (ret_err) {
+ fprintf(stderr, "%% assign failure: %s\n",
+ rd_kafka_err2str(ret_err));
+ }
+}
+
+
+/**
+ * Find and extract single value from a two-level search.
+ * First find 'field1', then find 'field2' and extract its value.
+ * Returns 0 on miss else the value.
+ */
+static uint64_t json_parse_fields(const char *json,
+ const char **end,
+ const char *field1,
+ const char *field2) {
+ const char *t = json;
+ const char *t2;
+ int len1 = (int)strlen(field1);
+ int len2 = (int)strlen(field2);
+
+ while ((t2 = strstr(t, field1))) {
+ uint64_t v;
+
+ t = t2;
+ t += len1;
+
+ /* Find field */
+ if (!(t2 = strstr(t, field2)))
+ continue;
+ t2 += len2;
+
+ while (isspace((int)*t2))
+ t2++;
+
+ v = strtoull(t2, (char **)&t, 10);
+ if (t2 == t)
+ continue;
+
+ *end = t;
+ return v;
+ }
+
+ *end = t + strlen(t);
+ return 0;
+}
+
+/**
+ * Parse various values from rdkafka stats
+ */
+static void json_parse_stats(const char *json) {
+ const char *t;
+#define MAX_AVGS 100 /* max number of brokers to scan for rtt */
+ uint64_t avg_rtt[MAX_AVGS + 1];
+ int avg_rtt_i = 0;
+
+ /* Store totals at end of array */
+ avg_rtt[MAX_AVGS] = 0;
+
+ /* Extract all broker RTTs */
+ t = json;
+ while (avg_rtt_i < MAX_AVGS && *t) {
+ avg_rtt[avg_rtt_i] =
+ json_parse_fields(t, &t, "\"rtt\":", "\"avg\":");
+
+ /* Skip low RTT values, means no messages are passing */
+ if (avg_rtt[avg_rtt_i] < 100 /*0.1ms*/)
+ continue;
+
+
+ avg_rtt[MAX_AVGS] += avg_rtt[avg_rtt_i];
+ avg_rtt_i++;
+ }
+
+ if (avg_rtt_i > 0)
+ avg_rtt[MAX_AVGS] /= avg_rtt_i;
+
+ cnt.avg_rtt = avg_rtt[MAX_AVGS];
+}
+
+
+static int stats_cb(rd_kafka_t *rk, char *json, size_t json_len, void *opaque) {
+
+ /* Extract values for our own stats */
+ json_parse_stats(json);
+
+ if (stats_fp)
+ fprintf(stats_fp, "%s\n", json);
+ return 0;
+}
+
+#define _OTYPE_TAB 0x1 /* tabular format */
+#define _OTYPE_SUMMARY 0x2 /* summary format */
+#define _OTYPE_FORCE 0x4 /* force output regardless of interval timing */
+static void
+print_stats(rd_kafka_t *rk, int mode, int otype, const char *compression) {
+ rd_ts_t now = rd_clock();
+ rd_ts_t t_total;
+ static int rows_written = 0;
+ int print_header;
+ double latency_avg = 0.0f;
+ char extra[512];
+ int extra_of = 0;
+ *extra = '\0';
+
+ if (!(otype & _OTYPE_FORCE) &&
+ (((otype & _OTYPE_SUMMARY) && verbosity == 0) ||
+ cnt.t_last + dispintvl > now))
+ return;
+
+ print_header = !rows_written || (verbosity > 0 && !(rows_written % 20));
+
+ if (cnt.t_end_send)
+ t_total = cnt.t_end_send - cnt.t_start;
+ else if (cnt.t_end)
+ t_total = cnt.t_end - cnt.t_start;
+ else if (cnt.t_start)
+ t_total = now - cnt.t_start;
+ else
+ t_total = 1;
+
+ if (latency_mode && cnt.latency_cnt)
+ latency_avg = (double)cnt.latency_sum / (double)cnt.latency_cnt;
+
+ if (mode == 'P') {
+
+ if (otype & _OTYPE_TAB) {
+#define ROW_START() \
+ do { \
+ } while (0)
+#define COL_HDR(NAME) printf("| %10.10s ", (NAME))
+#define COL_PR64(NAME, VAL) printf("| %10" PRIu64 " ", (VAL))
+#define COL_PRF(NAME, VAL) printf("| %10.2f ", (VAL))
+#define ROW_END() \
+ do { \
+ printf("\n"); \
+ rows_written++; \
+ } while (0)
+
+ if (print_header) {
+ /* First time, print header */
+ ROW_START();
+ COL_HDR("elapsed");
+ COL_HDR("msgs");
+ COL_HDR("bytes");
+ COL_HDR("rtt");
+ COL_HDR("dr");
+ COL_HDR("dr_m/s");
+ COL_HDR("dr_MB/s");
+ COL_HDR("dr_err");
+ COL_HDR("tx_err");
+ COL_HDR("outq");
+ COL_HDR("offset");
+ if (latency_mode) {
+ COL_HDR("lat_curr");
+ COL_HDR("lat_avg");
+ COL_HDR("lat_lo");
+ COL_HDR("lat_hi");
+ }
+
+ ROW_END();
+ }
+
+ ROW_START();
+ COL_PR64("elapsed", t_total / 1000);
+ COL_PR64("msgs", cnt.msgs);
+ COL_PR64("bytes", cnt.bytes);
+ COL_PR64("rtt", cnt.avg_rtt / 1000);
+ COL_PR64("dr", cnt.msgs_dr_ok);
+ COL_PR64("dr_m/s",
+ ((cnt.msgs_dr_ok * 1000000) / t_total));
+ COL_PRF("dr_MB/s",
+ (float)((cnt.bytes_dr_ok) / (float)t_total));
+ COL_PR64("dr_err", cnt.msgs_dr_err);
+ COL_PR64("tx_err", cnt.tx_err);
+ COL_PR64("outq",
+ rk ? (uint64_t)rd_kafka_outq_len(rk) : 0);
+ COL_PR64("offset", (uint64_t)cnt.last_offset);
+ if (latency_mode) {
+ COL_PRF("lat_curr", cnt.latency_last / 1000.0f);
+ COL_PRF("lat_avg", latency_avg / 1000.0f);
+ COL_PRF("lat_lo", cnt.latency_lo / 1000.0f);
+ COL_PRF("lat_hi", cnt.latency_hi / 1000.0f);
+ }
+ ROW_END();
+ }
+
+ if (otype & _OTYPE_SUMMARY) {
+ printf("%% %" PRIu64
+ " messages produced "
+ "(%" PRIu64
+ " bytes), "
+ "%" PRIu64
+ " delivered "
+ "(offset %" PRId64 ", %" PRIu64
+ " failed) "
+ "in %" PRIu64 "ms: %" PRIu64
+ " msgs/s and "
+ "%.02f MB/s, "
+ "%" PRIu64
+ " produce failures, %i in queue, "
+ "%s compression\n",
+ cnt.msgs, cnt.bytes, cnt.msgs_dr_ok,
+ cnt.last_offset, cnt.msgs_dr_err, t_total / 1000,
+ ((cnt.msgs_dr_ok * 1000000) / t_total),
+ (float)((cnt.bytes_dr_ok) / (float)t_total),
+ cnt.tx_err, rk ? rd_kafka_outq_len(rk) : 0,
+ compression);
+ }
+
+ } else {
+
+ if (otype & _OTYPE_TAB) {
+ if (print_header) {
+ /* First time, print header */
+ ROW_START();
+ COL_HDR("elapsed");
+ COL_HDR("msgs");
+ COL_HDR("bytes");
+ COL_HDR("rtt");
+ COL_HDR("m/s");
+ COL_HDR("MB/s");
+ COL_HDR("rx_err");
+ COL_HDR("offset");
+ if (latency_mode) {
+ COL_HDR("lat_curr");
+ COL_HDR("lat_avg");
+ COL_HDR("lat_lo");
+ COL_HDR("lat_hi");
+ }
+ ROW_END();
+ }
+
+ ROW_START();
+ COL_PR64("elapsed", t_total / 1000);
+ COL_PR64("msgs", cnt.msgs);
+ COL_PR64("bytes", cnt.bytes);
+ COL_PR64("rtt", cnt.avg_rtt / 1000);
+ COL_PR64("m/s", ((cnt.msgs * 1000000) / t_total));
+ COL_PRF("MB/s", (float)((cnt.bytes) / (float)t_total));
+ COL_PR64("rx_err", cnt.msgs_dr_err);
+ COL_PR64("offset", cnt.offset);
+ if (latency_mode) {
+ COL_PRF("lat_curr", cnt.latency_last / 1000.0f);
+ COL_PRF("lat_avg", latency_avg / 1000.0f);
+ COL_PRF("lat_lo", cnt.latency_lo / 1000.0f);
+ COL_PRF("lat_hi", cnt.latency_hi / 1000.0f);
+ }
+ ROW_END();
+ }
+
+ if (otype & _OTYPE_SUMMARY) {
+ if (latency_avg >= 1.0f)
+ extra_of += rd_snprintf(
+ extra + extra_of, sizeof(extra) - extra_of,
+ ", latency "
+ "curr/avg/lo/hi "
+ "%.2f/%.2f/%.2f/%.2fms",
+ cnt.latency_last / 1000.0f,
+ latency_avg / 1000.0f,
+ cnt.latency_lo / 1000.0f,
+ cnt.latency_hi / 1000.0f);
+ printf("%% %" PRIu64 " messages (%" PRIu64
+ " bytes) "
+ "consumed in %" PRIu64 "ms: %" PRIu64
+ " msgs/s "
+ "(%.02f MB/s)"
+ "%s\n",
+ cnt.msgs, cnt.bytes, t_total / 1000,
+ ((cnt.msgs * 1000000) / t_total),
+ (float)((cnt.bytes) / (float)t_total), extra);
+ }
+
+ if (incremental_mode && now > cnt.t_last) {
+ uint64_t i_msgs = cnt.msgs - cnt.msgs_last;
+ uint64_t i_bytes = cnt.bytes - cnt.bytes_last;
+ uint64_t i_time = cnt.t_last ? now - cnt.t_last : 0;
+
+ printf("%% INTERVAL: %" PRIu64
+ " messages "
+ "(%" PRIu64
+ " bytes) "
+ "consumed in %" PRIu64 "ms: %" PRIu64
+ " msgs/s "
+ "(%.02f MB/s)"
+ "%s\n",
+ i_msgs, i_bytes, i_time / 1000,
+ ((i_msgs * 1000000) / i_time),
+ (float)((i_bytes) / (float)i_time), extra);
+ }
+ }
+
+ cnt.t_last = now;
+ cnt.msgs_last = cnt.msgs;
+ cnt.bytes_last = cnt.bytes;
+}
+
+
+static void sig_usr1(int sig) {
+ rd_kafka_dump(stdout, global_rk);
+}
+
+
+/**
+ * @brief Read config from file
+ * @returns -1 on error, else 0.
+ */
+static int read_conf_file(rd_kafka_conf_t *conf, const char *path) {
+ FILE *fp;
+ char buf[512];
+ int line = 0;
+ char errstr[512];
+
+ if (!(fp = fopen(path, "r"))) {
+ fprintf(stderr, "%% Failed to open %s: %s\n", path,
+ strerror(errno));
+ return -1;
+ }
+
+ while (fgets(buf, sizeof(buf), fp)) {
+ char *s = buf;
+ char *t;
+ rd_kafka_conf_res_t r = RD_KAFKA_CONF_UNKNOWN;
+
+ line++;
+
+ while (isspace((int)*s))
+ s++;
+
+ if (!*s || *s == '#')
+ continue;
+
+ if ((t = strchr(buf, '\n')))
+ *t = '\0';
+
+ t = strchr(buf, '=');
+ if (!t || t == s || !*(t + 1)) {
+ fprintf(stderr, "%% %s:%d: expected key=value\n", path,
+ line);
+ fclose(fp);
+ return -1;
+ }
+
+ *(t++) = '\0';
+
+ /* Try global config */
+ r = rd_kafka_conf_set(conf, s, t, errstr, sizeof(errstr));
+
+ if (r == RD_KAFKA_CONF_OK)
+ continue;
+
+ fprintf(stderr, "%% %s:%d: %s=%s: %s\n", path, line, s, t,
+ errstr);
+ fclose(fp);
+ return -1;
+ }
+
+ fclose(fp);
+
+ return 0;
+}
+
+
+static rd_kafka_resp_err_t do_produce(rd_kafka_t *rk,
+ rd_kafka_topic_t *rkt,
+ int32_t partition,
+ int msgflags,
+ void *payload,
+ size_t size,
+ const void *key,
+ size_t key_size,
+ const rd_kafka_headers_t *hdrs) {
+
+ /* Send/Produce message. */
+ if (hdrs) {
+ rd_kafka_headers_t *hdrs_copy;
+ rd_kafka_resp_err_t err;
+
+ hdrs_copy = rd_kafka_headers_copy(hdrs);
+
+ err = rd_kafka_producev(
+ rk, RD_KAFKA_V_RKT(rkt), RD_KAFKA_V_PARTITION(partition),
+ RD_KAFKA_V_MSGFLAGS(msgflags),
+ RD_KAFKA_V_VALUE(payload, size),
+ RD_KAFKA_V_KEY(key, key_size),
+ RD_KAFKA_V_HEADERS(hdrs_copy), RD_KAFKA_V_END);
+
+ if (err)
+ rd_kafka_headers_destroy(hdrs_copy);
+
+ return err;
+
+ } else {
+ if (rd_kafka_produce(rkt, partition, msgflags, payload, size,
+ key, key_size, NULL) == -1)
+ return rd_kafka_last_error();
+ }
+
+ return RD_KAFKA_RESP_ERR_NO_ERROR;
+}
+
+/**
+ * @brief Sleep for \p sleep_us microseconds.
+ */
+static void do_sleep(int sleep_us) {
+ if (sleep_us > 100) {
+#ifdef _WIN32
+ Sleep(sleep_us / 1000);
+#else
+ usleep(sleep_us);
+#endif
+ } else {
+ rd_ts_t next = rd_clock() + (rd_ts_t)sleep_us;
+ while (next > rd_clock())
+ ;
+ }
+}
+
+
+int main(int argc, char **argv) {
+ char *brokers = NULL;
+ char mode = 'C';
+ char *topic = NULL;
+ const char *key = NULL;
+ int *partitions = NULL;
+ int opt;
+ int sendflags = 0;
+ char *msgpattern = "librdkafka_performance testing!";
+ int msgsize = -1;
+ const char *debug = NULL;
+ int do_conf_dump = 0;
+ rd_ts_t now;
+ char errstr[512];
+ uint64_t seq = 0;
+ int seed = (int)time(NULL);
+ rd_kafka_t *rk;
+ rd_kafka_topic_t *rkt;
+ rd_kafka_conf_t *conf;
+ rd_kafka_queue_t *rkqu = NULL;
+ const char *compression = "no";
+ int64_t start_offset = 0;
+ int batch_size = 0;
+ int idle = 0;
+ const char *stats_cmd = NULL;
+ char *stats_intvlstr = NULL;
+ char tmp[128];
+ char *tmp2;
+ int otype = _OTYPE_SUMMARY;
+ double dtmp;
+ int rate_sleep = 0;
+ rd_kafka_topic_partition_list_t *topics;
+ int exitcode = 0;
+ rd_kafka_headers_t *hdrs = NULL;
+ rd_kafka_resp_err_t err;
+
+ /* Kafka configuration */
+ conf = rd_kafka_conf_new();
+ rd_kafka_conf_set_error_cb(conf, err_cb);
+ rd_kafka_conf_set_throttle_cb(conf, throttle_cb);
+ rd_kafka_conf_set_offset_commit_cb(conf, offset_commit_cb);
+
+#ifdef SIGIO
+ /* Quick termination */
+ rd_snprintf(tmp, sizeof(tmp), "%i", SIGIO);
+ rd_kafka_conf_set(conf, "internal.termination.signal", tmp, NULL, 0);
+#endif
+
+ /* Producer config */
+ rd_kafka_conf_set(conf, "linger.ms", "1000", NULL, 0);
+ rd_kafka_conf_set(conf, "message.send.max.retries", "3", NULL, 0);
+ rd_kafka_conf_set(conf, "retry.backoff.ms", "500", NULL, 0);
+
+ /* Consumer config */
+ /* Tell rdkafka to (try to) maintain 1M messages
+ * in its internal receive buffers. This is to avoid
+ * application -> rdkafka -> broker per-message ping-pong
+ * latency.
+ * The larger the local queue, the higher the performance.
+ * Try other values with: ... -X queued.min.messages=1000
+ */
+ rd_kafka_conf_set(conf, "queued.min.messages", "1000000", NULL, 0);
+ rd_kafka_conf_set(conf, "session.timeout.ms", "6000", NULL, 0);
+ rd_kafka_conf_set(conf, "auto.offset.reset", "earliest", NULL, 0);
+
+ topics = rd_kafka_topic_partition_list_new(1);
+
+ while ((opt = getopt(argc, argv,
+ "PCG:t:p:b:s:k:c:fi:MDd:m:S:x:"
+ "R:a:z:o:X:B:eT:Y:qvIur:lA:OwNH:")) != -1) {
+ switch (opt) {
+ case 'G':
+ if (rd_kafka_conf_set(conf, "group.id", optarg, errstr,
+ sizeof(errstr)) !=
+ RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+ /* FALLTHRU */
+ case 'P':
+ case 'C':
+ mode = opt;
+ break;
+ case 't':
+ rd_kafka_topic_partition_list_add(
+ topics, optarg, RD_KAFKA_PARTITION_UA);
+ break;
+ case 'p':
+ partition_cnt++;
+ partitions = realloc(partitions, sizeof(*partitions) *
+ partition_cnt);
+ partitions[partition_cnt - 1] = atoi(optarg);
+ break;
+
+ case 'b':
+ brokers = optarg;
+ break;
+ case 's':
+ msgsize = atoi(optarg);
+ break;
+ case 'k':
+ key = optarg;
+ break;
+ case 'c':
+ msgcnt = atoi(optarg);
+ break;
+ case 'D':
+ sendflags |= RD_KAFKA_MSG_F_FREE;
+ break;
+ case 'i':
+ dispintvl = atoi(optarg);
+ break;
+ case 'm':
+ msgpattern = optarg;
+ break;
+ case 'S':
+ seq = strtoull(optarg, NULL, 10);
+ do_seq = 1;
+ break;
+ case 'x':
+ exit_after = atoi(optarg);
+ break;
+ case 'R':
+ seed = atoi(optarg);
+ break;
+ case 'a':
+ if (rd_kafka_conf_set(conf, "acks", optarg, errstr,
+ sizeof(errstr)) !=
+ RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+ break;
+ case 'B':
+ batch_size = atoi(optarg);
+ break;
+ case 'z':
+ if (rd_kafka_conf_set(conf, "compression.codec", optarg,
+ errstr, sizeof(errstr)) !=
+ RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+ compression = optarg;
+ break;
+ case 'o':
+ if (!strcmp(optarg, "end"))
+ start_offset = RD_KAFKA_OFFSET_END;
+ else if (!strcmp(optarg, "beginning"))
+ start_offset = RD_KAFKA_OFFSET_BEGINNING;
+ else if (!strcmp(optarg, "stored"))
+ start_offset = RD_KAFKA_OFFSET_STORED;
+ else {
+ start_offset = strtoll(optarg, NULL, 10);
+
+ if (start_offset < 0)
+ start_offset =
+ RD_KAFKA_OFFSET_TAIL(-start_offset);
+ }
+
+ break;
+ case 'e':
+ exit_eof = 1;
+ break;
+ case 'd':
+ debug = optarg;
+ break;
+ case 'H':
+ if (!strcmp(optarg, "parse"))
+ read_hdrs = 1;
+ else {
+ char *name, *val;
+ size_t name_sz = -1;
+
+ name = optarg;
+ val = strchr(name, '=');
+ if (val) {
+ name_sz = (size_t)(val - name);
+ val++; /* past the '=' */
+ }
+
+ if (!hdrs)
+ hdrs = rd_kafka_headers_new(8);
+
+ err = rd_kafka_header_add(hdrs, name, name_sz,
+ val, -1);
+ if (err) {
+ fprintf(
+ stderr,
+ "%% Failed to add header %s: %s\n",
+ name, rd_kafka_err2str(err));
+ exit(1);
+ }
+ }
+ break;
+ case 'X': {
+ char *name, *val;
+ rd_kafka_conf_res_t res;
+
+ if (!strcmp(optarg, "list") ||
+ !strcmp(optarg, "help")) {
+ rd_kafka_conf_properties_show(stdout);
+ exit(0);
+ }
+
+ if (!strcmp(optarg, "dump")) {
+ do_conf_dump = 1;
+ continue;
+ }
+
+ name = optarg;
+ if (!(val = strchr(name, '='))) {
+ fprintf(stderr,
+ "%% Expected "
+ "-X property=value, not %s\n",
+ name);
+ exit(1);
+ }
+
+ *val = '\0';
+ val++;
+
+ if (!strcmp(name, "file")) {
+ if (read_conf_file(conf, val) == -1)
+ exit(1);
+ break;
+ }
+
+ res = rd_kafka_conf_set(conf, name, val, errstr,
+ sizeof(errstr));
+
+ if (res != RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+ } break;
+
+ case 'T':
+ stats_intvlstr = optarg;
+ break;
+ case 'Y':
+ stats_cmd = optarg;
+ break;
+
+ case 'q':
+ verbosity--;
+ break;
+
+ case 'v':
+ verbosity++;
+ break;
+
+ case 'I':
+ idle = 1;
+ break;
+
+ case 'u':
+ otype = _OTYPE_TAB;
+ verbosity--; /* remove some fluff */
+ break;
+
+ case 'r':
+ dtmp = strtod(optarg, &tmp2);
+ if (tmp2 == optarg ||
+ (dtmp >= -0.001 && dtmp <= 0.001)) {
+ fprintf(stderr, "%% Invalid rate: %s\n",
+ optarg);
+ exit(1);
+ }
+
+ rate_sleep = (int)(1000000.0 / dtmp);
+ break;
+
+ case 'l':
+ latency_mode = 1;
+ break;
+
+ case 'A':
+ if (!(latency_fp = fopen(optarg, "w"))) {
+ fprintf(stderr, "%% Cant open %s: %s\n", optarg,
+ strerror(errno));
+ exit(1);
+ }
+ break;
+
+ case 'M':
+ incremental_mode = 1;
+ break;
+
+ case 'N':
+ with_dr = 0;
+ break;
+
+ default:
+ fprintf(stderr, "Unknown option: %c\n", opt);
+ goto usage;
+ }
+ }
+
+ if (topics->cnt == 0 || optind != argc) {
+ if (optind < argc)
+ fprintf(stderr, "Unknown argument: %s\n", argv[optind]);
+ usage:
+ fprintf(
+ stderr,
+ "Usage: %s [-C|-P] -t <topic> "
+ "[-p <partition>] [-b <broker,broker..>] [options..]\n"
+ "\n"
+ "librdkafka version %s (0x%08x)\n"
+ "\n"
+ " Options:\n"
+ " -C | -P | Consumer or Producer mode\n"
+ " -G <groupid> High-level Kafka Consumer mode\n"
+ " -t <topic> Topic to consume / produce\n"
+ " -p <num> Partition (defaults to random). "
+ "Multiple partitions are allowed in -C consumer mode.\n"
+ " -M Print consumer interval stats\n"
+ " -b <brokers> Broker address list (host[:port],..)\n"
+ " -s <size> Message size (producer)\n"
+ " -k <key> Message key (producer)\n"
+ " -H <name[=value]> Add header to message (producer)\n"
+ " -H parse Read message headers (consumer)\n"
+ " -c <cnt> Messages to transmit/receive\n"
+ " -x <cnt> Hard exit after transmitting <cnt> "
+ "messages (producer)\n"
+ " -D Copy/Duplicate data buffer (producer)\n"
+ " -i <ms> Display interval\n"
+ " -m <msg> Message payload pattern\n"
+ " -S <start> Send a sequence number starting at "
+ "<start> as payload\n"
+ " -R <seed> Random seed value (defaults to time)\n"
+ " -a <acks> Required acks (producer): "
+ "-1, 0, 1, >1\n"
+ " -B <size> Consume batch size (# of msgs)\n"
+ " -z <codec> Enable compression:\n"
+ " none|gzip|snappy\n"
+ " -o <offset> Start offset (consumer)\n"
+ " beginning, end, NNNNN or -NNNNN\n"
+ " -d [facs..] Enable debugging contexts:\n"
+ " %s\n"
+ " -X <prop=name> Set arbitrary librdkafka "
+ "configuration property\n"
+ " -X file=<path> Read config from file.\n"
+ " -X list Show full list of supported properties.\n"
+ " -X dump Show configuration\n"
+ " -T <intvl> Enable statistics from librdkafka at "
+ "specified interval (ms)\n"
+ " -Y <command> Pipe statistics to <command>\n"
+ " -I Idle: dont produce any messages\n"
+ " -q Decrease verbosity\n"
+ " -v Increase verbosity (default 1)\n"
+ " -u Output stats in table format\n"
+ " -r <rate> Producer msg/s limit\n"
+ " -l Latency measurement.\n"
+ " Needs two matching instances, one\n"
+ " consumer and one producer, both\n"
+ " running with the -l switch.\n"
+ " -l Producer: per-message latency stats\n"
+ " -A <file> Write per-message latency stats to "
+ "<file>. Requires -l\n"
+ " -O Report produced offset (producer)\n"
+ " -N No delivery reports (producer)\n"
+ "\n"
+ " In Consumer mode:\n"
+ " consumes messages and prints thruput\n"
+ " If -B <..> is supplied the batch consumer\n"
+ " mode is used, else the callback mode is used.\n"
+ "\n"
+ " In Producer mode:\n"
+ " writes messages of size -s <..> and prints thruput\n"
+ "\n",
+ argv[0], rd_kafka_version_str(), rd_kafka_version(),
+ RD_KAFKA_DEBUG_CONTEXTS);
+ exit(1);
+ }
+
+
+ dispintvl *= 1000; /* us */
+
+ if (verbosity > 1)
+ printf("%% Using random seed %i, verbosity level %i\n", seed,
+ verbosity);
+ srand(seed);
+ signal(SIGINT, stop);
+#ifdef SIGUSR1
+ signal(SIGUSR1, sig_usr1);
+#endif
+
+
+ if (debug && rd_kafka_conf_set(conf, "debug", debug, errstr,
+ sizeof(errstr)) != RD_KAFKA_CONF_OK) {
+ printf("%% Debug configuration failed: %s: %s\n", errstr,
+ debug);
+ exit(1);
+ }
+
+ /* Always enable stats (for RTT extraction), and if user supplied
+ * the -T <intvl> option we let her take part of the stats aswell. */
+ rd_kafka_conf_set_stats_cb(conf, stats_cb);
+
+ if (!stats_intvlstr) {
+ /* if no user-desired stats, adjust stats interval
+ * to the display interval. */
+ rd_snprintf(tmp, sizeof(tmp), "%" PRId64, dispintvl / 1000);
+ }
+
+ if (rd_kafka_conf_set(conf, "statistics.interval.ms",
+ stats_intvlstr ? stats_intvlstr : tmp, errstr,
+ sizeof(errstr)) != RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+
+ if (do_conf_dump) {
+ const char **arr;
+ size_t cnt;
+ int pass;
+
+ for (pass = 0; pass < 2; pass++) {
+ int i;
+
+ if (pass == 0) {
+ arr = rd_kafka_conf_dump(conf, &cnt);
+ printf("# Global config\n");
+ } else {
+ rd_kafka_topic_conf_t *topic_conf =
+ rd_kafka_conf_get_default_topic_conf(conf);
+
+ if (topic_conf) {
+ printf("# Topic config\n");
+ arr = rd_kafka_topic_conf_dump(
+ topic_conf, &cnt);
+ } else {
+ arr = NULL;
+ }
+ }
+
+ if (!arr)
+ continue;
+
+ for (i = 0; i < (int)cnt; i += 2)
+ printf("%s = %s\n", arr[i], arr[i + 1]);
+
+ printf("\n");
+
+ rd_kafka_conf_dump_free(arr, cnt);
+ }
+
+ exit(0);
+ }
+
+ if (latency_mode)
+ do_seq = 0;
+
+ if (stats_intvlstr) {
+ /* User enabled stats (-T) */
+
+#ifndef _WIN32
+ if (stats_cmd) {
+ if (!(stats_fp = popen(stats_cmd,
+#ifdef __linux__
+ "we"
+#else
+ "w"
+#endif
+ ))) {
+ fprintf(stderr,
+ "%% Failed to start stats command: "
+ "%s: %s",
+ stats_cmd, strerror(errno));
+ exit(1);
+ }
+ } else
+#endif
+ stats_fp = stdout;
+ }
+
+ if (msgcnt != -1)
+ forever = 0;
+
+ if (msgsize == -1)
+ msgsize = (int)strlen(msgpattern);
+
+ topic = topics->elems[0].topic;
+
+ if (mode == 'C' || mode == 'G')
+ rd_kafka_conf_set(conf, "enable.partition.eof", "true", NULL,
+ 0);
+
+ if (read_hdrs && mode == 'P') {
+ fprintf(stderr, "%% producer can not read headers\n");
+ exit(1);
+ }
+
+ if (hdrs && mode != 'P') {
+ fprintf(stderr, "%% consumer can not add headers\n");
+ exit(1);
+ }
+
+ /* Set bootstrap servers */
+ if (brokers &&
+ rd_kafka_conf_set(conf, "bootstrap.servers", brokers, errstr,
+ sizeof(errstr)) != RD_KAFKA_CONF_OK) {
+ fprintf(stderr, "%% %s\n", errstr);
+ exit(1);
+ }
+
+ if (mode == 'P') {
+ /*
+ * Producer
+ */
+ char *sbuf;
+ char *pbuf;
+ int outq;
+ int keylen = key ? (int)strlen(key) : 0;
+ off_t rof = 0;
+ size_t plen = strlen(msgpattern);
+ int partition =
+ partitions ? partitions[0] : RD_KAFKA_PARTITION_UA;
+
+ if (latency_mode) {
+ int minlen = (int)(strlen("LATENCY:") +
+ strlen("18446744073709551615 ") + 1);
+ msgsize = RD_MAX(minlen, msgsize);
+ sendflags |= RD_KAFKA_MSG_F_COPY;
+ } else if (do_seq) {
+ int minlen = (int)strlen("18446744073709551615 ") + 1;
+ if (msgsize < minlen)
+ msgsize = minlen;
+
+ /* Force duplication of payload */
+ sendflags |= RD_KAFKA_MSG_F_FREE;
+ }
+
+ sbuf = malloc(msgsize);
+
+ /* Copy payload content to new buffer */
+ while (rof < msgsize) {
+ size_t xlen = RD_MIN((size_t)msgsize - rof, plen);
+ memcpy(sbuf + rof, msgpattern, xlen);
+ rof += (off_t)xlen;
+ }
+
+ if (msgcnt == -1)
+ printf("%% Sending messages of size %i bytes\n",
+ msgsize);
+ else
+ printf("%% Sending %i messages of size %i bytes\n",
+ msgcnt, msgsize);
+
+ if (with_dr)
+ rd_kafka_conf_set_dr_msg_cb(conf, msg_delivered);
+
+ /* Create Kafka handle */
+ if (!(rk = rd_kafka_new(RD_KAFKA_PRODUCER, conf, errstr,
+ sizeof(errstr)))) {
+ fprintf(stderr,
+ "%% Failed to create Kafka producer: %s\n",
+ errstr);
+ exit(1);
+ }
+
+ global_rk = rk;
+
+ /* Explicitly create topic to avoid per-msg lookups. */
+ rkt = rd_kafka_topic_new(rk, topic, NULL);
+
+
+ if (rate_sleep && verbosity >= 2)
+ fprintf(stderr,
+ "%% Inter message rate limiter sleep %ius\n",
+ rate_sleep);
+
+ dr_disp_div = msgcnt / 50;
+ if (dr_disp_div == 0)
+ dr_disp_div = 10;
+
+ cnt.t_start = cnt.t_last = rd_clock();
+
+ msgs_wait_produce_cnt = msgcnt;
+
+ while (run && (msgcnt == -1 || (int)cnt.msgs < msgcnt)) {
+ /* Send/Produce message. */
+
+ if (idle) {
+ rd_kafka_poll(rk, 1000);
+ continue;
+ }
+
+ if (latency_mode) {
+ rd_snprintf(sbuf, msgsize - 1,
+ "LATENCY:%" PRIu64, wall_clock());
+ } else if (do_seq) {
+ rd_snprintf(sbuf, msgsize - 1, "%" PRIu64 ": ",
+ seq);
+ seq++;
+ }
+
+ if (sendflags & RD_KAFKA_MSG_F_FREE) {
+ /* Duplicate memory */
+ pbuf = malloc(msgsize);
+ memcpy(pbuf, sbuf, msgsize);
+ } else
+ pbuf = sbuf;
+
+ if (msgsize == 0)
+ pbuf = NULL;
+
+ cnt.tx++;
+ while (run && (err = do_produce(
+ rk, rkt, partition, sendflags, pbuf,
+ msgsize, key, keylen, hdrs))) {
+ if (err == RD_KAFKA_RESP_ERR__UNKNOWN_PARTITION)
+ printf(
+ "%% No such partition: "
+ "%" PRId32 "\n",
+ partition);
+ else if (verbosity >= 3 ||
+ (err !=
+ RD_KAFKA_RESP_ERR__QUEUE_FULL &&
+ verbosity >= 1))
+ printf(
+ "%% produce error: %s%s\n",
+ rd_kafka_err2str(err),
+ err == RD_KAFKA_RESP_ERR__QUEUE_FULL
+ ? " (backpressure)"
+ : "");
+
+ cnt.tx_err++;
+ if (err != RD_KAFKA_RESP_ERR__QUEUE_FULL) {
+ run = 0;
+ break;
+ }
+ now = rd_clock();
+ if (verbosity >= 2 &&
+ cnt.t_enobufs_last + dispintvl <= now) {
+ printf(
+ "%% Backpressure %i "
+ "(tx %" PRIu64
+ ", "
+ "txerr %" PRIu64 ")\n",
+ rd_kafka_outq_len(rk), cnt.tx,
+ cnt.tx_err);
+ cnt.t_enobufs_last = now;
+ }
+
+ /* Poll to handle delivery reports */
+ rd_kafka_poll(rk, 10);
+
+ print_stats(rk, mode, otype, compression);
+ }
+
+ msgs_wait_cnt++;
+ if (msgs_wait_produce_cnt != -1)
+ msgs_wait_produce_cnt--;
+ cnt.msgs++;
+ cnt.bytes += msgsize;
+
+ /* Must poll to handle delivery reports */
+ if (rate_sleep) {
+ rd_ts_t next = rd_clock() + (rd_ts_t)rate_sleep;
+ do {
+ rd_kafka_poll(
+ rk,
+ (int)RD_MAX(0, (next - rd_clock()) /
+ 1000));
+ } while (next > rd_clock());
+ } else if (cnt.msgs % 1000 == 0) {
+ rd_kafka_poll(rk, 0);
+ }
+
+ print_stats(rk, mode, otype, compression);
+ }
+
+ forever = 0;
+ if (verbosity >= 2)
+ printf(
+ "%% All messages produced, "
+ "now waiting for %li deliveries\n",
+ msgs_wait_cnt);
+
+ /* Wait for messages to be delivered */
+ while (run && rd_kafka_poll(rk, 1000) != -1)
+ print_stats(rk, mode, otype, compression);
+
+
+ outq = rd_kafka_outq_len(rk);
+ if (verbosity >= 2)
+ printf("%% %i messages in outq\n", outq);
+ cnt.msgs -= outq;
+ cnt.t_end = t_end;
+
+ if (cnt.tx_err > 0)
+ printf("%% %" PRIu64 " backpressures for %" PRIu64
+ " produce calls: %.3f%% backpressure rate\n",
+ cnt.tx_err, cnt.tx,
+ ((double)cnt.tx_err / (double)cnt.tx) * 100.0);
+
+ /* Destroy topic */
+ rd_kafka_topic_destroy(rkt);
+
+ /* Destroy the handle */
+ rd_kafka_destroy(rk);
+ global_rk = rk = NULL;
+
+ free(sbuf);
+
+ exitcode = cnt.msgs == cnt.msgs_dr_ok ? 0 : 1;
+
+ } else if (mode == 'C') {
+ /*
+ * Consumer
+ */
+
+ rd_kafka_message_t **rkmessages = NULL;
+ size_t i = 0;
+
+ /* Create Kafka handle */
+ if (!(rk = rd_kafka_new(RD_KAFKA_CONSUMER, conf, errstr,
+ sizeof(errstr)))) {
+ fprintf(stderr,
+ "%% Failed to create Kafka consumer: %s\n",
+ errstr);
+ exit(1);
+ }
+
+ global_rk = rk;
+
+ /* Create topic to consume from */
+ rkt = rd_kafka_topic_new(rk, topic, NULL);
+
+ /* Batch consumer */
+ if (batch_size)
+ rkmessages = malloc(sizeof(*rkmessages) * batch_size);
+
+ /* Start consuming */
+ rkqu = rd_kafka_queue_new(rk);
+ for (i = 0; i < (size_t)partition_cnt; ++i) {
+ const int r = rd_kafka_consume_start_queue(
+ rkt, partitions[i], start_offset, rkqu);
+
+ if (r == -1) {
+ fprintf(
+ stderr, "%% Error creating queue: %s\n",
+ rd_kafka_err2str(rd_kafka_last_error()));
+ exit(1);
+ }
+ }
+
+ while (run && (msgcnt == -1 || msgcnt > (int)cnt.msgs)) {
+ /* Consume messages.
+ * A message may either be a real message, or
+ * an error signaling (if rkmessage->err is set).
+ */
+ uint64_t fetch_latency;
+ ssize_t r;
+
+ fetch_latency = rd_clock();
+
+ if (batch_size) {
+ int partition = partitions
+ ? partitions[0]
+ : RD_KAFKA_PARTITION_UA;
+
+ /* Batch fetch mode */
+ r = rd_kafka_consume_batch(rkt, partition, 1000,
+ rkmessages,
+ batch_size);
+ if (r != -1) {
+ for (i = 0; (ssize_t)i < r; i++) {
+ msg_consume(rkmessages[i],
+ NULL);
+ rd_kafka_message_destroy(
+ rkmessages[i]);
+ }
+ }
+ } else {
+ /* Queue mode */
+ r = rd_kafka_consume_callback_queue(
+ rkqu, 1000, msg_consume, NULL);
+ }
+
+ cnt.t_fetch_latency += rd_clock() - fetch_latency;
+ if (r == -1)
+ fprintf(
+ stderr, "%% Error: %s\n",
+ rd_kafka_err2str(rd_kafka_last_error()));
+ else if (r > 0 && rate_sleep) {
+ /* Simulate processing time
+ * if `-r <rate>` was set. */
+ do_sleep(rate_sleep);
+ }
+
+
+ print_stats(rk, mode, otype, compression);
+
+ /* Poll to handle stats callbacks */
+ rd_kafka_poll(rk, 0);
+ }
+ cnt.t_end = rd_clock();
+
+ /* Stop consuming */
+ for (i = 0; i < (size_t)partition_cnt; ++i) {
+ int r = rd_kafka_consume_stop(rkt, (int32_t)i);
+ if (r == -1) {
+ fprintf(
+ stderr, "%% Error in consume_stop: %s\n",
+ rd_kafka_err2str(rd_kafka_last_error()));
+ }
+ }
+ rd_kafka_queue_destroy(rkqu);
+
+ /* Destroy topic */
+ rd_kafka_topic_destroy(rkt);
+
+ if (batch_size)
+ free(rkmessages);
+
+ /* Destroy the handle */
+ rd_kafka_destroy(rk);
+
+ global_rk = rk = NULL;
+
+ } else if (mode == 'G') {
+ /*
+ * High-level balanced Consumer
+ */
+ rd_kafka_message_t **rkmessages = NULL;
+
+ rd_kafka_conf_set_rebalance_cb(conf, rebalance_cb);
+
+ /* Create Kafka handle */
+ if (!(rk = rd_kafka_new(RD_KAFKA_CONSUMER, conf, errstr,
+ sizeof(errstr)))) {
+ fprintf(stderr,
+ "%% Failed to create Kafka consumer: %s\n",
+ errstr);
+ exit(1);
+ }
+
+ /* Forward all events to consumer queue */
+ rd_kafka_poll_set_consumer(rk);
+
+ global_rk = rk;
+
+ err = rd_kafka_subscribe(rk, topics);
+ if (err) {
+ fprintf(stderr, "%% Subscribe failed: %s\n",
+ rd_kafka_err2str(err));
+ exit(1);
+ }
+ fprintf(stderr, "%% Waiting for group rebalance..\n");
+
+ if (batch_size) {
+ rkmessages = malloc(sizeof(*rkmessages) * batch_size);
+ } else {
+ rkmessages = malloc(sizeof(*rkmessages));
+ }
+
+ rkqu = rd_kafka_queue_get_consumer(rk);
+
+ while (run && (msgcnt == -1 || msgcnt > (int)cnt.msgs)) {
+ /* Consume messages.
+ * A message may either be a real message, or
+ * an event (if rkmessage->err is set).
+ */
+ uint64_t fetch_latency;
+ ssize_t r;
+
+ fetch_latency = rd_clock();
+
+ if (batch_size) {
+ /* Batch fetch mode */
+ ssize_t i = 0;
+ r = rd_kafka_consume_batch_queue(
+ rkqu, 1000, rkmessages, batch_size);
+ if (r != -1) {
+ for (i = 0; i < r; i++) {
+ msg_consume(rkmessages[i],
+ NULL);
+ rd_kafka_message_destroy(
+ rkmessages[i]);
+ }
+ }
+
+ if (r == -1)
+ fprintf(stderr, "%% Error: %s\n",
+ rd_kafka_err2str(
+ rd_kafka_last_error()));
+ else if (r > 0 && rate_sleep) {
+ /* Simulate processing time
+ * if `-r <rate>` was set. */
+ do_sleep(rate_sleep);
+ }
+
+ } else {
+ rkmessages[0] =
+ rd_kafka_consumer_poll(rk, 1000);
+ if (rkmessages[0]) {
+ msg_consume(rkmessages[0], NULL);
+ rd_kafka_message_destroy(rkmessages[0]);
+
+ /* Simulate processing time
+ * if `-r <rate>` was set. */
+ if (rate_sleep)
+ do_sleep(rate_sleep);
+ }
+ }
+
+ cnt.t_fetch_latency += rd_clock() - fetch_latency;
+
+ print_stats(rk, mode, otype, compression);
+ }
+ cnt.t_end = rd_clock();
+
+ err = rd_kafka_consumer_close(rk);
+ if (err)
+ fprintf(stderr, "%% Failed to close consumer: %s\n",
+ rd_kafka_err2str(err));
+
+ free(rkmessages);
+ rd_kafka_queue_destroy(rkqu);
+ rd_kafka_destroy(rk);
+ }
+
+ if (hdrs)
+ rd_kafka_headers_destroy(hdrs);
+
+ print_stats(NULL, mode, otype | _OTYPE_FORCE, compression);
+
+ if (cnt.t_fetch_latency && cnt.msgs)
+ printf("%% Average application fetch latency: %" PRIu64 "us\n",
+ cnt.t_fetch_latency / cnt.msgs);
+
+ if (latency_fp)
+ fclose(latency_fp);
+
+ if (stats_fp) {
+#ifndef _WIN32
+ pclose(stats_fp);
+#endif
+ stats_fp = NULL;
+ }
+
+ if (partitions)
+ free(partitions);
+
+ rd_kafka_topic_partition_list_destroy(topics);
+
+ /* Let background threads clean up and terminate cleanly. */
+ rd_kafka_wait_destroyed(2000);
+
+ return exitcode;
+}
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-31 12:31:57 +0000