cassandra-stress 压测使用介绍

cassandra-stress 压测使用介绍

Cassandra从很早的版本就自带了cassandra-stress压力测试工具，它的使用方法在cassandra-stress后添加命令和选项。其中常用的命令一般只用到：write、read、mixed、user。其中单纯的write和read只测试读和写，mixed则测试同时读写。user是2.1之后新增的，通过自定义配置文件，在配置文件中可以指定insert和query查询语句。命令command没有以-开头，而选项[options]有两种方式：-选项名称 选项值或者选项名称=选项值。

常用的选项有

counter_read： 多个并发读，必须首先通过counter_write测试填充群集。counter_write：多个并发写。legacy：传统模式的支持。mixed：混合模式和可配置的读写比例和分布。集群必须先写测试数据填充。read: 多个并发读取。必须首先通过写入测试填充群集。write: 针对群集的多个并发写入。user: 交错用户提供具有可配置比率和分布的查询。version: 打印cassandra-stress版本。print: 打印定义输出

子选项

-COL

列详细信息，例如大小和计数分布，数据生成器

用法：-col names =？[slice] [super =？] [comparator =？] [timestamp =？] [size = DIST（？）] 要么 -col [n = DIST（？）] [slice] [super =？] [comparator =？] [timestamp =？] [size = DIST（？）]

-rate

速率

使用以下选项设置费率：-rate threads=N [throttle=N] [fixed=N]配置项：threads=N 并发运行的客户端数量。throttle=N 所有客户端的每秒操作达到最大速率，默认值为0。fixed=N 期望所有客户每秒的固定运行率。默认值为0。或者-rate [threads>=N] [threads<=N] [auto]参数：threads > = N ：同时运行至少这么多客户端。默认值为4。threads <= N ：最多同时运行这么多客户端。默认值为1000。auto 一旦吞吐量饱和，就停止增加线程。

-errors

如何处理压力测试期间遇到的错误

用法：-errors [retries = N] [ignore] [skip-read-validation]retries=N 失败前尝试次数。ignore 忽略错误。skip-read-validation 跳过读取验证和消息输出。

-graph

压力测试生成结果图表，可以将多个测试一起绘制成图表。

用法:-graph file=? [revision=?] [title=?] [op=?]

-log

日志设置

用法：level=verboseor-log [level=?] [no-summary] [file=?] [hdrfile=?] [interval=?] [no-settings] [no-progress] [show-queries] [query-log-file=?]

-mode

Thrift or CQL 选项

用法：-mode thrift [smart] [user=?] [password=?] or -mode native [unprepared] cql3 [compression=?] [port=?] [user=?] [password=?] [auth-provider=?] [maxPending=?] [connectionsPerHost=?] [protocolVersion=?] or-mode simplenative [prepared] cql3 [port=?]

-node

要连接的节点

用法：-node [datacenter=?] [whitelist] [file=?] []

-port

指定用于连接Cassandra节点的端口。9042端口用于native协议的客户端连接。

-port [native=?] [thrift=?] [jmx=?]

：-schema

表结构设置

用法：-schema [replication(?)] [keyspace=?] [compaction(?)] [compression=?]

-sendto

指定要将压力命令发送到的服务器。

用法：-sendto

-tokenrange 令牌范围设置。

用法：-tokenrange [no-wrap] [split-factor =？] [savedata =？]

额外选项

profile=?：指定YAML配置文件，需要自己编写DML，插入，查询；(只能作为user选项的子选项)ops(?)： 指定操作类型和数量，比如ops(inserts=1)，或者ops(queries=2)，其中queries需要用指定的查询名称代替；(只能作为user选项的子选项)n=?： 指定操作数量，比如要写入1万条数据，n=10000； 要读取1000条数据，n=1000；err

--注意选项名称，选项值必须放在 子选项选项值前面，比如正确的用法：truncate=one -node xxx

简单读写压测示例

＃插入（写入）一百万行cassandra-stress write n = 1000000 -rate threads = 50 -node 172.20.101.166 -port native=9042＃读二十万行。cassandra-stress读n = 200000 -rate threads = 50 -node 172.20.101.157 -port native=9042＃读取行持续3分钟。cassandra-stress read duration = 3m -rate threads = 50 -node 172.20.101.164 -port native=9042＃混合读写持续5分钟。cassandra-stress mixed duration = 5m -rate threads = 50 -node 172.20.101.164 -port native=9042＃首先读取200,000行而不预热50,000行。cassandra-stress read n = 200000 no-warmup -rate threads = 50 -node 172.20.101.160, 172.20.101.166 -port native=9042#通过身份验证运行cassandra-stress以下示例显示使用-mode选项提供用户名和密码：cassandra-stress -mode native cql3 user = cassandra password = cassandra no-warmup cl = QUORUM

复杂压测示例：

100万条数据写入，一致性级别为Local_Quorum，客户端线程数=500个，2个列，副本数据=3个

cassandra-stress write n=1000000 cl=LOCAL_QUORUM -rate threads=500 \ -col "size=fixed(2048)" "n=fixed(32)" -schema "replication(factor=3)" -node 172.20.101.157 -port native=9042

使用user profile 配置yaml

## This is an example YAML profile for cassandra-stress## insert data# cassandra-stress user profile=/home/jake/stress1.yaml ops(insert=1)## read, using query simple1:# cassandra-stress profile=/home/jake/stress1.yaml ops(simple1=1)## mixed workload (90/10)# cassandra-stress user profile=/home/jake/stress1.yaml ops(insert=1,simple1=9)## Keyspace info#keyspace: load_test## The CQL for creating a keyspace (optional if it already exists)#keyspace_definition: | CREATE KEYSPACE load_test WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1};## Table info#table: event2## The CQL for creating a table you wish to stress (optional if it already exists)#table_definition: | CREATE TABLE event2 ( cookie_id int, timestamp timestamp, event_name text, session_id uuid, page text, device text, PRIMARY KEY(cookie_id, timestamp, event_name, session_id) ) WITH CLUSTERING ORDER BY (timestamp DESC)## Optional meta information on the generated columns in the above table# The min and max only apply to text and blob types# The distribution field represents the total unique population# distribution of that column across rows. Supported types are# # EXP(min..max) An exponential distribution over the range [min..max]# EXTREME(min..max,shape) An extreme value (Weibull) distribution over the range [min..max]# GAUSSIAN(min..max,stdvrng) A gaussian/normal distribution, where mean=(min+max)/2, and stdev is (mean-min)/stdvrng# GAUSSIAN(min..max,mean,stdev) A gaussian/normal distribution, with explicitly defined mean and stdev# UNIFORM(min..max) A uniform distribution over the range [min, max]# FIXED(val) A fixed distribution, always returning the same value# Aliases: extr, gauss, normal, norm, weibull## If preceded by ~, the distribution is inverted## Defaults for all columns are size: uniform(4..8), population: uniform(1..100B), cluster: fixed(1)#columnspec: - name: cookie_id population: uniform(1..100M) # the range of unique values to select for the field (default is 100Billion) - name: timestamp size: fixed(13) population: uniform(1..100M) - name: event_name size: uniform(5..10) population: uniform(1..100M) - name: session_id size: fixed(32) population: uniform(1..100M) - name: page size: gaussian(16..64) population: uniform(1..100M) - name: device size: fixed(4) population: uniform(1..10)insert: partitions: uniform(1..50) # number of unique partitions to update in a single operation # if batchcount > 1, multiple batches will be used but all partitions will # occur in all batches (unless they finish early); only the row counts will vary batchtype: UNLOGGED # type of batch to use select: fixed(10)/10 # uniform chance any single generated CQL row will be visited in a partition; # generated for each partition independently, each time we visit it## A list of queries you wish to run against the schema#queries: simple1: cql: select * from event2 where cookie_id = ? fields: samerow # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)Collapse

user profile 测试案例-1

不要预热过程,冷启动任务,插入1000000万条数据,读写比例3比1 ，一致性级别设置为：QUORUMcassandra-stress user profile=./pttest-cassandra.yaml n=1000000 ops(insert=3,simple1=1) no-warmup cl=QUORUM -node 172.20.101.157 -port native=9042

结果

Results:Op rate : 1,562 op/s [insert: 1,164 op/s, simple1: 398 op/s]Partition rate : 30,063 pk/s [insert: 29,667 pk/s, simple1: 396 pk/s]Row rate : 30,063 row/s [insert: 29,667 row/s, simple1: 396 row/s]Latency mean : 28.2 ms [insert: 37.0 ms, simple1: 2.7 ms]Latency median : 4.3 ms [insert: 6.5 ms, simple1: 1.1 ms]Latency 95th percentile : 126.2 ms [insert: 142.5 ms, simple1: 7.7 ms]Latency 99th percentile : 230.4 ms [insert: 254.1 ms, simple1: 23.8 ms]Latency 99.9th percentile : 476.8 ms [insert: 554.2 ms, simple1: 96.6 ms]Latency max : 2581.6 ms [insert: 2,581.6 ms, simple1: 2,264.9 ms]Total partitions : 999,932 [insert: 986,756, simple1: 13,176]Total errors : 0 [insert: 0, simple1: 0]Total GC count : 43Total GC memory : 12.565 GiBTotal GC time : 3.0 secondsAvg GC time : 69.4 msStdDev GC time : 13.4 msTotal operation time : 00:00:33Improvement over 181 threadCount: -7%

user profile 测试案例-2

不要预热过程,冷启动任务,500并发，插入1000000万条数据,读写比例3比1 ，一致性级别设置为：QUORUMcassandra-stress user profile=./pttest-cassandra.yaml n=1000000 ops(insert=3,simple1=1) no-warmup cl=QUORUM -rate threads=500 -node 172.20.101.157 -port native=9042

Results:Op rate : 1,496 op/s [insert: 1,145 op/s, simple1: 396 op/s]Partition rate : 28,763 pk/s [insert: 29,221 pk/s, simple1: 394 pk/s]Row rate : 28,763 row/s [insert: 29,221 row/s, simple1: 394 row/s]Latency mean : 49.5 ms [insert: 64.0 ms, simple1: 7.5 ms]Latency median : 4.9 ms [insert: 7.0 ms, simple1: 1.3 ms]Latency 95th percentile : 251.3 ms [insert: 286.0 ms, simple1: 29.7 ms]Latency 99th percentile : 513.0 ms [insert: 561.0 ms, simple1: 118.3 ms]Latency 99.9th percentile : 909.1 ms [insert: 940.0 ms, simple1: 477.1 ms]Latency max : 1416.6 ms [insert: 1,416.6 ms, simple1: 820.0 ms]Total partitions : 999,847 [insert: 986,542, simple1: 13,305]Total errors : 0 [insert: 0, simple1: 0]Total GC count : 41Total GC memory : 12.277 GiBTotal GC time : 3.0 secondsAvg GC time : 72.3 msStdDev GC time : 25.0 msTotal operation time : 00:00:34

发现并发并没有提升效率！

user profile 测试案例-3

连接多节点，不要预热过程,冷启动任务,插入1000000万条数据,读写比例3比1 ，一致性级别设置为：QUORUM

cassandra-stress user profile=./pttest-cassandra.yaml n=1000000 ops(insert=3,simple1=1) no-warmup cl=QUORUM -node 172.20.101.157,172.20.101.160,172.20.101.167 -port native=9042

结果：

Results:Op rate : 1,570 op/s [insert: 1,181 op/s, simple1: 389 op/s]Partition rate : 30,638 pk/s [insert: 30,250 pk/s, simple1: 389 pk/s]Row rate : 30,638 row/s [insert: 30,250 row/s, simple1: 389 row/s]Latency mean : 32.6 ms [insert: 42.4 ms, simple1: 2.6 ms]Latency median : 4.4 ms [insert: 6.6 ms, simple1: 1.3 ms]Latency 95th percentile : 128.6 ms [insert: 146.9 ms, simple1: 7.7 ms]Latency 99th percentile : 283.4 ms [insert: 336.3 ms, simple1: 21.6 ms]Latency 99.9th percentile : 2334.1 ms [insert: 2,344.6 ms, simple1: 78.0 ms]Latency max : 2730.5 ms [insert: 2,730.5 ms, simple1: 414.7 ms]Total partitions : 999,987 [insert: 987,306, simple1: 12,681]Total errors : 0 [insert: 0, simple1: 0]Total GC count : 43Total GC memory : 12.817 GiBTotal GC time : 3.1 secondsAvg GC time : 72.1 msStdDev GC time : 14.9 msTotal operation time : 00:00:32

user profile 测试案例-4

生成测试结果图连接多节点，不要预热过程,冷启动任务,插入1000000万条数据,读写比例3比1 ，一致性级别设置为：QUORUM

cassandra-stress user profile=./pttest-cassandra.yaml n=1000000 ops(insert=3,simple1=1) no-warmup cl=QUORUM -graph file=test.html title=test revision=test1 -node 172.20.101.157,172.20.101.160,172.20.101.167 -port native=9042

Results:Op rate : 1,602 op/s [insert: 1,204 op/s, simple1: 398 op/s]Partition rate : 30,941 pk/s [insert: 30,543 pk/s, simple1: 398 pk/s]Row rate : 30,941 row/s [insert: 30,543 row/s, simple1: 398 row/s]Latency mean : 15.6 ms [insert: 20.1 ms, simple1: 2.1 ms]Latency median : 4.1 ms [insert: 5.9 ms, simple1: 1.2 ms]Latency 95th percentile : 67.2 ms [insert: 74.7 ms, simple1: 5.4 ms]Latency 99th percentile : 111.9 ms [insert: 118.9 ms, simple1: 11.7 ms]Latency 99.9th percentile : 274.2 ms [insert: 289.4 ms, simple1: 71.3 ms]Latency max : 2231.4 ms [insert: 2,231.4 ms, simple1: 271.1 ms]Total partitions : 999,996 [insert: 987,127, simple1: 12,869]Total errors : 0 [insert: 0, simple1: 0]Total GC count : 41Total GC memory : 12.276 GiBTotal GC time : 2.7 secondsAvg GC time : 66.9 msStdDev GC time : 15.4 msTotal operation time : 00:00:32Improvement over 81 threadCount: -8%

参考文档：​​​https://docs.datastax.com/en/dse/5.1/dse-admin/datastax_enterprise/tools/toolsCStress.html​​​​​​

​​https://instaclustr.com/deep-diving-cassandra-stress-part-3-using-yaml-profiles/​​​​​​

​​https://zqhxuyuan.github.io/2015/10/15/Cassandra-Stress/​​

版权声明：本文内容由网络用户投稿，版权归原作者所有，本站不拥有其著作权，亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容，请联系我们jiasou666@gmail.com 处理，核实后本网站将在24小时内删除侵权内容。