Zabbix對Kafka?topic積壓數(shù)據(jù)監(jiān)控的問題(bug優(yōu)化)
發(fā)布日期：2022-07-15 19:33 | 文章來源：站長之家
簡述
《Zabbix對Kafka topic積壓數(shù)據(jù)監(jiān)控》一文的目的是通過Zabbix自動發(fā)現(xiàn)實現(xiàn)對多個消費者組的Topic及Partition的Lag進行監(jiān)控。因在實際監(jiān)控中發(fā)現(xiàn)有問題，為給感興趣的讀者不留坑，特通過此文對監(jiān)控進行優(yōu)化調整。
分區(qū)自動發(fā)現(xiàn)
# 未優(yōu)化前的計算方式：
# 自動發(fā)現(xiàn)配置文件
vim consumer-groups.conf
#按消費者組(Group)|Topic格式，寫入自動發(fā)現(xiàn)配置文件
test-group|test
# 執(zhí)行腳本自動發(fā)現(xiàn)指定消費者和topic的分區(qū)
bash consumer-groups.sh discovery
{
"data": [
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"0" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"1" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"3" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"2" }
]
}經過上線驗證，當自動發(fā)現(xiàn)配置文件只有一個test-group|test是沒有問題的，但當我們按需求再接入test-group|test1 （即test-group消費者組的第二個Topic）時，自動發(fā)現(xiàn)的結果如下：
# 未優(yōu)化前的計算方式：
vim consumer-groups.conf
#按消費者組(Group)|Topic格式，寫入自動發(fā)現(xiàn)配置文件
test-group|test
test-group|test1
# 執(zhí)行腳本自動發(fā)現(xiàn)指定消費者和topic的分區(qū)
bash consumer-groups.sh discovery
{
"data": [
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"0" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"1" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"3" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"2" }
{ "{#GROUP}":"test-group", "{#TOPICP}":"test1", "{#PARTITION}":"0" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test2", "{#PARTITION}":"1" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test3", "{#PARTITION}":"2" }
]
}了解Zabbix自動發(fā)現(xiàn)格式的同學會發(fā)現(xiàn)，每個Topic的Partition會出現(xiàn)','，這種格式是不符合規(guī)范，這就是導致我們的監(jiān)控項會出現(xiàn)問題，因此我們需要進一步修改腳本。
經修改后，最終效果應該如下：
# 優(yōu)化后的計算方式：
vim consumer-groups.conf
#按消費者組(Group)|Topic格式，寫入自動發(fā)現(xiàn)配置文件
test-group|test
test-group|test1
# 執(zhí)行腳本自動發(fā)現(xiàn)指定消費者和topic的分區(qū)
bash consumer-groups.sh discovery
{
"data": [
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"0" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"1" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"3" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test", "{#PARTITION}":"2" }，
{ "{#GROUP}":"test-group", "{#TOPICP}":"test1", "{#PARTITION}":"0" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test1", "{#PARTITION}":"1" },
{ "{#GROUP}":"test-group", "{#TOPICP}":"test1", "{#PARTITION}":"2" }
]
}獲取監(jiān)控項“test-group/test/分區(qū)X”的Lag
經過自動發(fā)現(xiàn)后的數(shù)據(jù)，我們可以進一步獲取不同分區(qū)的lag
# 優(yōu)化后的計算方式： # test-group test分區(qū)0 lag bash consumer-groups.sh lag test-group test 0 # test-group test分區(qū)1 lag bash consumer-groups.sh lag test-group test 1 # test-group test1分區(qū)0 lag bash consumer-groups.sh lag test-group test1 0
通過命令可以看到，我們的參數(shù)通過消費者組、Topic、Partition來獲取最終的lag值，如果不加消費者區(qū)分，那么無法區(qū)分不同消費者組和不同Topic相應的lag結果：
# 未優(yōu)化前的計算方式： # 獲取分區(qū)0 lag bash consumer-groups.sh lag 0 # 獲取分區(qū)1 lag bash consumer-groups.sh lag 1 # 獲取分區(qū)2 lag bash consumer-groups.sh lag 2 # 獲取分區(qū)3 lag bash consumer-groups.sh lag 3
最終優(yōu)化后腳本
# 自動發(fā)現(xiàn)配置文件
vim consumer-groups.conf
#按消費者組(Group)|Topic格式，寫入自動發(fā)現(xiàn)配置文件
test-group|test
test-group|test1
# 自動發(fā)現(xiàn)、lag計算腳本
vim consumer-groups.sh
#!/bin/bash
##comment: 根據(jù)消費者組監(jiān)控topic lag，進行監(jiān)控告警
#配置文件說明
#消費者組|Topic
#test-group|test
#獲取topic 信息
cal_topic() {
if [ $# -ne 2 ]; then
echo "parameter num error, 讀取topic信息失敗"
exit 1
else
/usr/local/kafka/bin/./kafka-consumer-groups.sh --bootstrap-server 192.168.3.55:9092 --describe --group $1 |grep -w $2|grep -v none
fi
}
#topic+分區(qū)自動發(fā)現(xiàn)
topic_discovery() {
printf "{\n"
printf "\t\"data\": [\n"
m=0
num=`cat /etc/zabbix/monitor_scripts/consumer-groups.conf|wc -l`
for line in `cat /etc/zabbix/monitor_scripts/consumer-groups.conf`
do
m=`expr $m + 1`
group=`echo ${line} | awk -F'|' '{print $1}'`
topic=`echo ${line} | awk -F'|' '{print $2}'`
cal_topic $group $topic > /tmp/consumer-group-tmp
count=`cat /tmp/consumer-group-tmp|wc -l`
n=0
while read line
do
n=`expr $n + 1`
#判斷最后一行
if [ $n -eq $count ] && [ $m -eq $num ]; then
topicp=`echo $line | awk '{print $1}'`
partition=`echo $line | awk '{print $2}'`
printf "\t\t{ \"{#GROUP}\":\"${group}\", \"{#TOPICP}\":\"${topicp}\", \"{#PARTITION}\":\"${partition}\" }\n"
else
topicp=`echo $line | awk '{print $1}'`
partition=`echo $line | awk '{print $2}'`
printf "\t\t{ \"{#GROUP}\":\"${group}\", \"{#TOPICP}\":\"${topicp}\", \"{#PARTITION}\":\"${partition}\" },\n"
fi
done < /tmp/consumer-group-tmp
done
printf "\t]\n"
printf "}\n"
}
if [ $1 == "discovery" ]; then
topic_discovery
elif [ $1 == "lag" ];then
cal_topic $2 $3 > /tmp/consumer-group
cat /tmp/consumer-group |awk -v t=$3 -v p=$4 '{if($1==t && $2==p ){print $5}}'
else
echo "Usage: /data/scripts/consumer-group.sh discovery | lag"
fi
# 手動運行
## 自動發(fā)現(xiàn)
bash consumer-groups.sh discovery
## test-group test分區(qū)0 lag
bash consumer-groups.sh lag test-group test 0接入Zabbix
1.Zabbix配置文件
vim userparameter_kafka.conf UserParameter=topic_discovery,bash /data/scripts/consumer-groups.sh discovery UserParameter=topic_log[*],bash /data/scripts/consumer-groups.sh lag "$1" "$2" "$3"
2.Zabbix自動發(fā)現(xiàn)
3.監(jiān)控項配置
4.告警信息
告警主機：Kafka_192.168.3.55 主機IP：192.168.3.55 主機組：Kafka 告警時間：2022.03.21 00:23:10 告警等級：Average 告警信息：test-group/test/分區(qū)1:數(shù)據(jù)積壓100 告警項目：topic_lag[test-group,test,1] 問題詳情： test-group/test/1: 62
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