210 lines
13 KiB
Bash
Executable File
210 lines
13 KiB
Bash
Executable File
#!/bin/bash
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# Color setting
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RED='\033[0;31m'
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GREEN='\033[1;32m'
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GREEN_DARK='\033[0;32m'
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GREEN_UNDERLINE='\033[4;32m'
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NC='\033[0m'
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docker rm -f `docker ps -a -q`
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#set -x
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echo
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echo "---------------Generating Data-----------------"
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echo
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echo "Prepare data for InfluxDB...."
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#bin/bulk_data_gen -seed 123 -format influx-bulk -scale-var 100 -use-case devops -timestamp-start "2018-01-01T00:00:00Z" -timestamp-end "2018-01-02T00:00:00Z" >data/influx.dat
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bin/bulk_data_gen -seed 123 -format influx-bulk -sampling-interval 1s -scale-var 10 -use-case devops -timestamp-start "2018-01-01T00:00:00Z" -timestamp-end "2018-01-02T00:00:00Z" >data/influx.dat
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echo
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echo "Prepare data for TDengine...."
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#bin/bulk_data_gen -seed 123 -format tdengine -tdschema-file config/TDengineSchema.toml -scale-var 100 -use-case devops -timestamp-start "2018-01-01T00:00:00Z" -timestamp-end "2018-01-02T00:00:00Z" > data/tdengine.dat
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bin/bulk_data_gen -seed 123 -format tdengine -sampling-interval 1s -tdschema-file config/TDengineSchema.toml -scale-var 10 -use-case devops -timestamp-start "2018-01-01T00:00:00Z" -timestamp-end "2018-01-02T00:00:00Z" > data/tdengine.dat
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docker network create --ip-range 172.15.1.255/24 --subnet 172.15.1.1/16 tsdbcomp >>/dev/null 2>&1
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TDENGINE=`docker run -d --net tsdbcomp --ip 172.15.1.6 -p 6030:6030 -p 6020:6020 -p 6031:6031 -p 6032:6032 -p 6033:6033 -p 6034:6034 -p 6035:6035 -p 6036:6036 -p 6037:6037 -p 6038:6038 -p 6039:6039 tdengine/tdengine:1.6.4.5`
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echo
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echo "------------------Writing Data-----------------"
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echo
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sleep 5
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echo
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echo -e "Start test TDengine, result in ${GREEN}Green line${NC}"
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TDENGINERES=`cat data/tdengine.dat |bin/bulk_load_tdengine --url 172.15.1.6:0 --batch-size 300 -do-load -report-tags n1 -workers 20 -fileout=false| grep loaded`
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#TDENGINERES=`cat data/tdengine.dat |gunzip|bin/bulk_load_tdengine --url 172.15.1.6:0 --batch-size 300 -do-load -report-tags n1 -workers 10 -fileout=false| grep loaded`
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echo
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echo -e "${GREEN}TDengine writing result:${NC}"
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echo -e "${GREEN}$TDENGINERES${NC}"
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DATA=`echo $TDENGINERES|awk '{print($2)}'`
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TMP=`echo $TDENGINERES|awk '{print($5)}'`
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TDWTM=`echo ${TMP%s*}`
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INFLUX=`docker run -d -p 8086:8086 --net tsdbcomp --ip 172.15.1.5 influxdb` >>/dev/null 2>&1
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sleep 10
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echo
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echo -e "Start test InfluxDB, result in ${GREEN}Green line${NC}"
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INFLUXRES=`cat data/influx.dat |bin/bulk_load_influx --batch-size=5000 --workers=20 --urls="http://172.15.1.5:8086" | grep loaded`
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echo
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echo -e "${GREEN}InfluxDB writing result:${NC}"
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echo -e "${GREEN}$INFLUXRES${NC}"
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TMP=`echo $INFLUXRES|awk '{print($5)}'`
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IFWTM=`echo ${TMP%s*}`
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echo
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echo "------------------Querying Data-----------------"
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echo
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sleep 10
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echo
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echo "start query test, query max from 8 hosts group by 1 hour, TDengine"
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echo
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#Test case 1
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#测试用例1，查询所有数据中，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据的最大值。
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') ;
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# a,b,c,d,e,f,g,h are random 8 numbers.
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TDQS1=`bin/bulk_query_gen -seed 123 -format tdengine -query-type 8-host-all -scale-var 10 -queries 1000 | bin/query_benchmarker_tdengine -urls="http://172.15.1.6:6020" -workers 50 -print-interval 0|grep wall`
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echo
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echo -e "${GREEN}TDengine query test case 1 result:${NC}"
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echo -e "${GREEN}$TDQS1${NC}"
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TMP=`echo $TDQS1|awk '{print($4)}'`
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TDQ1=`echo ${TMP%s*}`
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#Test case 2
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#测试用例2，查询所有数据中，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以1小时为粒度，查询每1小时的最大值。
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') interval(1h);
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# a,b,c,d,e,f,g,h are random 8 numbers
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TDQS2=`bin/bulk_query_gen -seed 123 -format tdengine -query-type 8-host-allbyhr -scale-var 10 -queries 1000 | bin/query_benchmarker_tdengine -urls="http://172.15.1.6:6020" -workers 50 -print-interval 0|grep wall`
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echo
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echo -e "${GREEN}TDengine query test case 2 result:${NC}"
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echo -e "${GREEN}$TDQS2${NC}"
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TMP=`echo $TDQS2|awk '{print($4)}'`
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TDQ2=`echo ${TMP%s*}`
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#Test case 3
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#测试用例3，测试用例3，随机查询12个小时的数据，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以10分钟为粒度，查询每10分钟的最大值
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') and time >x and time <y interval(10m);
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# a,b,c,d,e,f,g,h are random 8 numbers, y-x =12 hour
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TDQS3=`bin/bulk_query_gen -seed 123 -format tdengine -query-type 8-host-12-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_tdengine -urls="http://172.15.1.6:6020" -workers 50 -print-interval 0|grep wall`
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echo
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echo -e "${GREEN}TDengine query test case 3 result:${NC}"
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echo -e "${GREEN}$TDQS3${NC}"
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TMP=`echo $TDQS3|awk '{print($4)}'`
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TDQ3=`echo ${TMP%s*}`
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#Test case 4
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#测试用例4，随机查询1个小时的数据，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以1分钟为粒度，查询每1分钟的最大值
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') and time >x and time <y interval(10m);
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# a,b,c,d,e,f,g,h are random 8 numbers, y-x =1 hours
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TDQS4=`bin/bulk_query_gen -seed 123 -format tdengine -query-type 8-host-1-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_tdengine -urls="http://172.15.1.6:6020" -workers 50 -print-interval 0|grep wall`
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echo
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echo -e "${GREEN}TDengine query test case 4 result:${NC}"
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echo -e "${GREEN}$TDQS4${NC}"
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TMP=`echo $TDQS4|awk '{print($4)}'`
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TDQ4=`echo ${TMP%s*}`
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sleep 10
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echo
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echo "start query test, query max from 8 hosts group by 1hour, Influxdb"
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echo
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#Test case 1
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#测试用例1，查询所有数据中，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据的最大值。
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') ;
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# a,b,c,d,e,f,g,h are random 8 numbers.
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IFQS1=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 8-host-all -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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echo -e "${GREEN}InfluxDB query test case 1 result:${NC}"
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echo -e "${GREEN}$IFQS1${NC}"
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TMP=`echo $IFQS1|awk '{print($4)}'`
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IFQ1=`echo ${TMP%s*}`
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#Test case 2
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#测试用例2，查询所有数据中，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以1小时为粒度，查询每1小时的最大值。
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') interval(1h);
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# a,b,c,d,e,f,g,h are random 8 numbers
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IFQS2=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 8-host-allbyhr -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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echo -e "${GREEN}InfluxDB query test case 2 result:${NC}"
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echo -e "${GREEN}$IFQS2${NC}"
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TMP=`echo $IFQS2|awk '{print($4)}'`
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IFQ2=`echo ${TMP%s*}`
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#Test case 3
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#测试用例3，测试用例3，随机查询12个小时的数据，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以10分钟为粒度，查询每10分钟的最大值
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') and time >x and time <y interval(10m);
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# a,b,c,d,e,f,g,h are random 8 numbers, y-x =12 hour
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#INFLUXQUERY=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 1-host-1-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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IFQS3=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 8-host-12-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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echo -e "${GREEN}InfluxDB query test case 3 result:${NC}"
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echo -e "${GREEN}$IFQS3${NC}"
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TMP=`echo $IFQS3|awk '{print($4)}'`
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IFQ3=`echo ${TMP%s*}`
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#Test case 4
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#测试用例4，随机查询1个小时的数据，用8个hostname标签进行匹配，匹配出这8个hostname对应的模拟服务器CPU数据中的usage_user这个监控数据，以1分钟为粒度，查询每1分钟的最大值
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#select max(usage_user) from cpu where(hostname='host_a' and hostname='host_b'and hostname='host_c'and hostname='host_d'and hostname='host_e'and hostname='host_f' and hostname='host_g'and hostname='host_h') and time >x and time <y interval(10m);
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# a,b,c,d,e,f,g,h are random 8 numbers, y-x =1 hours
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#INFLUXQUERY=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 1-host-1-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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IFQS4=`bin/bulk_query_gen -seed 123 -format influx-http -query-type 8-host-1-hr -scale-var 10 -queries 1000 | bin/query_benchmarker_influxdb -urls="http://172.15.1.5:8086" -workers 50 -print-interval 0|grep wall`
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echo -e "${GREEN}InfluxDB query test case 4 result:${NC}"
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echo -e "${GREEN}$IFQS4${NC}"
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TMP=`echo $IFQS4|awk '{print($4)}'`
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IFQ4=`echo ${TMP%s*}`
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echo
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echo
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echo "======================================================"
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echo " tsdb performance comparision "
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echo "======================================================"
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echo -e " Writing $DATA records test takes: "
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printf " InfluxDB | %-4.2f Seconds \n" $IFWTM
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printf " TDengine | %-4.2f Seconds \n" $TDWTM
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echo "------------------------------------------------------"
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echo " Query test cases: "
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echo " case 1: select the max(value) from all data "
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echo " filtered out 8 hosts "
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echo " Query test case 1 takes: "
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printf " InfluxDB | %-4.2f Seconds \n" $IFQ1
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printf " TDengine | %-4.2f Seconds \n" $TDQ1
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echo "------------------------------------------------------"
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echo " case 2: select the max(value) from all data "
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echo " filtered out 8 hosts with an interval of 1 hour "
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echo " case 2 takes: "
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printf " InfluxDB | %-4.2f Seconds \n" $IFQ2
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printf " TDengine | %-4.2f Seconds \n" $TDQ2
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echo "------------------------------------------------------"
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echo " case 3: select the max(value) from random 12 hours"
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echo " data filtered out 8 hosts with an interval of 10 min "
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echo " filtered out 8 hosts interval(1h) "
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echo " case 3 takes: "
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printf " InfluxDB | %-4.2f Seconds \n" $IFQ3
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printf " TDengine | %-4.2f Seconds \n" $TDQ3
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echo "------------------------------------------------------"
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echo " case 4: select the max(value) from random 1 hour data "
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echo " data filtered out 8 hosts with an interval of 1 min "
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echo " case 4 takes: "
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printf " InfluxDB | %-4.2f Seconds \n" $IFQ4
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printf " TDengine | %-4.2f Seconds \n" $TDQ4
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echo "------------------------------------------------------"
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echo
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docker stop $INFLUX >>/dev/null 2>&1
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docker container rm -f $INFLUX >>/dev/null 2>&1
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docker stop $TDENGINE >>/dev/null 2>&1
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docker container rm -f $TDENGINE >>/dev/null 2>&1
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docker network rm tsdbcomp >>/dev/null 2>&1
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#bulk_query_gen/bulk_query_gen -format influx-http -query-type 1-host-1-hr -scale-var 10 -queries 1000 | query_benchmarker_influxdb/query_benchmarker_influxdb -urls="http://172.26.89.231:8086"
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#bulk_query_gen/bulk_query_gen -format tdengine -query-type 1-host-1-hr -scale-var 10 -queries 1000 | query_benchmarker_tdengine/query_benchmarker_tdengine -urls="http://172.26.89.231:6020"
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today=`date +"%Y%m%d"`
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echo "${today}, ${IFWTM}, ${IFQ1}, ${IFQ2}, ${IFQ3}, ${IFQ4}" >> /root/perftest-influx-report.csv
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