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。
成都创新互联公司是网站建设专家,致力于互联网品牌建设与网络营销，专业领域包括成都网站设计、网站制作、电商网站制作开发、微信小程序定制开发、微信营销、系统平台开发，与其他网站设计及系统开发公司不同，我们的整合解决方案结合了恒基网络品牌建设经验和互联网整合营销的理念，并将策略和执行紧密结合，且不断评估并优化我们的方案，为客户提供全方位的互联网品牌整合方案！
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=verbose
or
-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：QUORUM
cassandra-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 : 43
Total GC memory : 12.565 GiB
Total GC time : 3.0 seconds
Avg GC time : 69.4 ms
StdDev GC time : 13.4 ms
Total operation time : 00:00:33
Improvement 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：QUORUM
cassandra-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 : 41
Total GC memory : 12.277 GiB
Total GC time : 3.0 seconds
Avg GC time : 72.3 ms
StdDev GC time : 25.0 ms
Total 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 : 43
Total GC memory : 12.817 GiB
Total GC time : 3.1 seconds
Avg GC time : 72.1 ms
StdDev GC time : 14.9 ms
Total 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 : 41
Total GC memory : 12.276 GiB
Total GC time : 2.7 seconds
Avg GC time : 66.9 ms
StdDev GC time : 15.4 ms
Total operation time : 00:00:32
Improvement over 81 threadCount: -8%参考文档：
https://docs.datastax.com/en/dse/5.1/dse-admin/datastax_enterprise/tools/toolsCStress.html
https://www.instaclustr.com/deep-diving-cassandra-stress-part-3-using-yaml-profiles/
https://zqhxuyuan.github.io/2015/10/15/Cassandra-Stress/
新闻标题：cassandra-stress压测使用介绍
标题来源：http://scyanting.com/article/ipegss.html
