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Like the great detective, the idea behind the set of scripts in this repo is to investigate performance of Software Define Storage (SDS) in the Kuberentes/OpenShift domain using generic database workloads. Old skool is the moto here, hence why it was written in bash (run anywhere), using old "fashioned" performance measurement tools (iostat, mpstat, vmstat and so on) and without any web interface and cool graphics. Pretty much Commodore Amiga style :)
The scripts will help you setup the database on your Kuberenetes/OpenShift cluster, making sure the databases are spread equally across your worker nodes, populate data and then run the tests.
Optionally you can choose to collect OS statistics from the nodes running the databases and the nodes running the SDS (can also be the same nodes in the k8s cluster are running both the databases and the SDS - converge mode) so you can look at what happened at the OS level when the workload ran.
The project was initially tested on Rook/Ceph and Openshift Container Storage (OCS) (both are Ceph based), but was tested with Portworx storage as well and also just plain direct attach storage via the Local Storage Operator (LSO).
Other non-SDS storage providers will work as well, all you have to do is change the storage class that project is using and the databases will be deployed and output such TPS/TPM/NOPM, latency and so on will be provided, however, the performance statistics collection should only be used for Software Define Storage (SDS) type of storage that runs on nodes part of the Kuberenetes cluster.
bash > 4.0 (associative arrays are heavily used here).
(for macOS, just "brew install bash", then either use "#!/usr/local/bin/bash" instead of "#!/bin/bash" in the scripts or update /etc/shells).
Sherlock depends heavily on the settings of WORKERS_LIST_FILE and SDS_LIST_FILE variables in the config file.
Each of these variables points to a file that hold the name of the nodes for a particular role.
For Example:
#cat ~/sds_nodes
ip-10-0-146-82.us-west-2.compute.internal
ip-10-0-162-232.us-west-2.compute.internal
ip-10-0-172-204.us-west-2.compute.internalConverge refers to when your run the SDS and the database pods on the same nodes. In this case, both the WORKERS_LIST_FILE and SDS_LIST_FILE variables MUST point to the SAME file.
Non-Converge refer to when you run the SDS on separate nodes than where the database pods are running. In this case, WORKERS_LIST_FILE and SDS_LIST_FILE will each point to a different file with different node list in each file.
Nothing to actually deploy. just grab the scripts from the repo.
Once you figured the number of databases per node, the pod resources and the size of each database and configure it in the sherlock.conf file, all you need to do is run:
create_databases -c <path to config file>Note: if you don't supply a config file, sherlock will assume that sherlock.config is the name of the config file and that it is located in the current directory.
run_database_workload-parallel -b sysbench -j prepare -c <path to config file>run_database_workload-parallel -b pgbench -j prepare -c <path to config file>run_database_workload-parallel -b hammerdb -j prepare -c <path to config file>run_database_workload-parallel -b ycsb -j prepare -c <path to config file>Note: if you don't supply a config file, sherlock will assume that sherlock.config is the name of the config file and that it is located in the current directory.
run_database_workload-parallel -b sysbench -j run -c <path to config file> -n <some name for the run>run_database_workload-parallel -b pgbench -j run -c <path to config file> -n <some name for the run>run_database_workload-parallel -b hammerdb -j run -c <path to config file> -n <some name for the run>run_database_workload-parallel -b ycsb -j run -c <path to config file> -n <some name for the run>Note: if you don't supply a config file, sherlock will assume that sherlock.config is the name of the config file and that it is located in the current directory.
create_databases - Create databases based on parameters from the config file. the script will make sure to spread the database equally on nodes that are part of the WORKERS_LIST_FILE variable.
run_database_workload-parallel - Will run the jobs of pods that connects to the database and create/run on the data.
run_loops - just a simple script to run run_database_workload-parallel in a loop and display the stats from the runs.
print_results - Use this script to display the results of run_database_workload-parallel in a csv, table or just simple text. The script also accept a parameter whether it is used to display results for a single run or for a "loop" of runs created via the run_loops script
sherlock.config - a the sherlock config file. You can rename the config file, just make sure to provide the correct name and path when you run sherlock.
delete_databases - a script to cleanup/delete all that was created with create_databases
The Flexible I/O (fio) tester is a well known artificial workload generator with many options to test storage devices. While I prefer to test with real-life workloads, fio is a very fast tool to measure performance of SDS, so I've created a very small pod that just runs fio and it can help with SDS assessment. The run_fio_job script is pretty self explanatory. The run_fio_tests script is a sample script when you want to run multiple options in a serial fashion and then examine the results.
Most variables are self explanatory and are explained in the sherlock.config file
You'll notice in the create_database and run_database_workload-parallel scripts a few scc modifications. Security was/is never my concern when writing these scripts, but feel free to change or suggest changes to the scripts to make them more secure.
Sysbench: works on MySQL and PostgreSQL.
Pgbench: works on PostgreSQL (TCP-B mostly writes by default)
Hammerdb: works on SQL Server
YCSB: works on MongoDB (In Development)
The following outputs are based on PostgreSQL, 3 nodes, 2 database per node:
$ ./create_databases
Now using project "postgresql" on server "https://api.vaelin.ocsonazure.com:6443".
You can add applications to this project with the 'new-app' command. For example, try:
oc new-app ruby~https://github.com/sclorg/ruby-ex.git
to build a new example application in Ruby. Or use kubectl to deploy a simple Kubernetes application:
kubectl create deployment hello-node --image=gcr.io/hello-minikube-zero-install/hello-node
20200924:04:12:45: Creating postgresql database pod postgresql-0 on node vaelin-nkmld-worker-eastus21-bwr2l
persistentvolumeclaim/postgresql-pvc-0 created
deployment.apps/postgresql-0 created
service/postgresql-0 created
pod/postgresql-0-6cd6667847-r9hlw condition met
20200924:04:13:13: Creating postgresql database pod postgresql-1 on node vaelin-nkmld-worker-eastus21-jt7qb
persistentvolumeclaim/postgresql-pvc-1 created
deployment.apps/postgresql-1 created
service/postgresql-1 created
pod/postgresql-1-64bbb6f567-csvfn condition met
20200924:04:13:44: Creating postgresql database pod postgresql-2 on node vaelin-nkmld-worker-eastus21-tvflp
persistentvolumeclaim/postgresql-pvc-2 created
deployment.apps/postgresql-2 created
service/postgresql-2 created
pod/postgresql-2-75db9d8688-btgg2 condition met
20200924:04:14:17: Creating postgresql database pod postgresql-3 on node vaelin-nkmld-worker-eastus21-bwr2l
persistentvolumeclaim/postgresql-pvc-3 created
deployment.apps/postgresql-3 created
service/postgresql-3 created
pod/postgresql-3-7846f9476-786ns condition met
20200924:04:14:27: Creating postgresql database pod postgresql-4 on node vaelin-nkmld-worker-eastus21-jt7qb
persistentvolumeclaim/postgresql-pvc-4 created
deployment.apps/postgresql-4 created
service/postgresql-4 created
pod/postgresql-4-8557948b7d-pd9ht condition met
20200924:04:14:43: Creating postgresql database pod postgresql-5 on node vaelin-nkmld-worker-eastus21-tvflp
persistentvolumeclaim/postgresql-pvc-5 created
deployment.apps/postgresql-5 created
service/postgresql-5 created
pod/postgresql-5-6bdf5d8b8c-zg762 condition met$ ./run_database_workload-parallel -b sysbench -j prepare -c sherlock.config
20200924:05:01:30: Starting sysbench job for prepare in deployment postgresql-0 with database ip 10.129.2.12 ...
20200924:05:01:31: job.batch/sysbench-prepare-postgresql-0-maccnb-494r6 is using sysbench pod sysbench-prepare-postgresql-0-maccnb-494r6-tsv2d on node vaelin-nkmld-worker-eastus21-bwr2l
20200924:05:01:31: Starting sysbench job for prepare in deployment postgresql-1 with database ip 10.128.2.12 ...
20200924:05:01:32: job.batch/sysbench-prepare-postgresql-1-maccnb-xfrr2 is using sysbench pod sysbench-prepare-postgresql-1-maccnb-xfrr2-fr7v9 on node vaelin-nkmld-worker-eastus21-jt7qb
20200924:05:01:32: Starting sysbench job for prepare in deployment postgresql-2 with database ip 10.131.0.23 ...
20200924:05:01:32: job.batch/sysbench-prepare-postgresql-2-maccnb-td6cr is using sysbench pod sysbench-prepare-postgresql-2-maccnb-td6cr-g78kj on node vaelin-nkmld-worker-eastus21-tvflp
20200924:05:01:33: Starting sysbench job for prepare in deployment postgresql-3 with database ip 10.129.2.13 ...
20200924:05:01:33: job.batch/sysbench-prepare-postgresql-3-maccnb-gqrc4 is using sysbench pod sysbench-prepare-postgresql-3-maccnb-gqrc4-92xxn on node vaelin-nkmld-worker-eastus21-bwr2l
20200924:05:01:33: Starting sysbench job for prepare in deployment postgresql-4 with database ip 10.128.2.13 ...
20200924:05:01:34: job.batch/sysbench-prepare-postgresql-4-maccnb-wb4d8 is using sysbench pod sysbench-prepare-postgresql-4-maccnb-wb4d8-4gz2h on node vaelin-nkmld-worker-eastus21-jt7qb
20200924:05:01:34: Starting sysbench job for prepare in deployment postgresql-5 with database ip 10.131.0.24 ...
20200924:05:01:35: job.batch/sysbench-prepare-postgresql-5-maccnb-xscr4 is using sysbench pod sysbench-prepare-postgresql-5-maccnb-xscr4-z79fb on node vaelin-nkmld-worker-eastus21-tvflpas you can see, each database gets its own job that consists of a pod running sysbench to prepare (create and insert) the data, you can monitor the progress by looking at the pods logs or just monitoring for the jobs to finish.
$ ./run_database_workload-parallel -b sysbench -j run -c sherlock.config -n psql1
clusterrole.rbac.authorization.k8s.io/system:openshift:scc:hostnetwork added: "default"
20200924:06:04:52: Starting to collect stats on worker node vaelin-nkmld-worker-eastus21-bwr2l...
20200924:06:04:53: Starting to collect stats on worker node vaelin-nkmld-worker-eastus21-jt7qb...
20200924:06:04:54: Starting to collect stats on worker node vaelin-nkmld-worker-eastus21-tvflp...
20200924:06:04:54: Starting to collect stats on sds node vaelin-nkmld-cephnode-eastus21-5c7xj...
20200924:06:04:55: Starting to collect stats on sds node vaelin-nkmld-cephnode-eastus21-5fv74...
20200924:06:04:56: Starting to collect stats on sds node vaelin-nkmld-cephnode-eastus21-8fwqv...
20200924:06:04:56: Starting sysbench job for run in deployment postgresql-0 with database ip 10.129.2.12 ...
20200924:06:04:57: job.batch/sysbench-run-postgresql-0-psql1-9ccs5 is using sysbench pod sysbench-run-postgresql-0-psql1-9ccs5-2krw5 on node vaelin-nkmld-worker-eastus21-bwr2l
20200924:06:04:57: Starting sysbench job for run in deployment postgresql-1 with database ip 10.128.2.12 ...
20200924:06:04:58: job.batch/sysbench-run-postgresql-1-psql1-c6r6k is using sysbench pod sysbench-run-postgresql-1-psql1-c6r6k-q85sg on node vaelin-nkmld-worker-eastus21-jt7qb
20200924:06:04:58: Starting sysbench job for run in deployment postgresql-2 with database ip 10.131.0.23 ...
20200924:06:04:58: job.batch/sysbench-run-postgresql-2-psql1-nsggv is using sysbench pod sysbench-run-postgresql-2-psql1-nsggv-xcmrs on node vaelin-nkmld-worker-eastus21-tvflp
20200924:06:04:59: Starting sysbench job for run in deployment postgresql-3 with database ip 10.129.2.13 ...
20200924:06:04:59: job.batch/sysbench-run-postgresql-3-psql1-tg8cn is using sysbench pod sysbench-run-postgresql-3-psql1-tg8cn-cqz56 on node vaelin-nkmld-worker-eastus21-bwr2l
20200924:06:04:59: Starting sysbench job for run in deployment postgresql-4 with database ip 10.128.2.13 ...
20200924:06:05:00: job.batch/sysbench-run-postgresql-4-psql1-nnzwt is using sysbench pod sysbench-run-postgresql-4-psql1-nnzwt-ktscv on node vaelin-nkmld-worker-eastus21-jt7qb
20200924:06:05:00: Starting sysbench job for run in deployment postgresql-5 with database ip 10.131.0.24 ...
20200924:06:05:01: job.batch/sysbench-run-postgresql-5-psql1-bvd8c is using sysbench pod sysbench-run-postgresql-5-psql1-bvd8c-kl89z on node vaelin-nkmld-worker-eastus21-tvflp
20200924:06:05:01: Waiting for jobs to complete ...
job.batch/sysbench-run-postgresql-3-psql1-tg8cn condition met
job.batch/stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r condition met
job.batch/sysbench-run-postgresql-4-psql1-nnzwt condition met
job.batch/sysbench-run-postgresql-2-psql1-nsggv condition met
job.batch/stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2 condition met
job.batch/sysbench-run-postgresql-0-psql1-9ccs5 condition met
job.batch/stats-worker-psql1-vaelin-nkmld-worker-eastus21-bwr2l-fzqqt condition met
job.batch/stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbql condition met
job.batch/stats-worker-psql1-vaelin-nkmld-worker-eastus21-jt7qb-s4trc condition met
job.batch/stats-worker-psql1-vaelin-nkmld-worker-eastus21-tvflp-5f58g condition met
job.batch/sysbench-run-postgresql-1-psql1-c6r6k condition met
job.batch/sysbench-run-postgresql-5-psql1-bvd8c condition met
20200924:06:10:30: All jobs are done, getting logs ...
20200924:06:10:32: End of ./run_database_workload-parallel script ...as you can see, in the run mode, the script will wait for all jobs to continue.
We have 6 jobs running sysbench, 3 jobs collecting stats on the worker nodes running the databases and 3 jobs collecting stats on the worker nodes running the SDS, so total of 12 jobs.
Once all are finished the script will collect the logs from all jobs and save them in the directory named "psql1" (the name we chose for our run example).
(because the run_database_workload-parallel script will wait for all jobs to finish when you use "-j run", it is recommended to run the script from a program that will keep your session active like "screen" or "tmux").
Inside the psql1 directory:
[sagy@bastion psql1]$ ls -l
total 868
-rw-rw-r--. 1 sagy sagy 5452 Sep 24 06:05 sherlock.config
-rw-rw-r--. 1 sagy sagy 146512 Sep 24 06:10 stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log
-rw-rw-r--. 1 sagy sagy 147570 Sep 24 06:10 stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log
-rw-rw-r--. 1 sagy sagy 153973 Sep 24 06:10 stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log
-rw-rw-r--. 1 sagy sagy 118620 Sep 24 06:10 stats-worker-psql1-vaelin-nkmld-worker-eastus21-bwr2l-fzqqq5bfv.log
-rw-rw-r--. 1 sagy sagy 121996 Sep 24 06:10 stats-worker-psql1-vaelin-nkmld-worker-eastus21-jt7qb-s4trbgwzt.log
-rw-rw-r--. 1 sagy sagy 132895 Sep 24 06:10 stats-worker-psql1-vaelin-nkmld-worker-eastus21-tvflp-5f58w527v.log
-rw-rw-r--. 1 sagy sagy 5192 Sep 24 06:10 sysbench-run-postgresql-0-psql1-9ccs5-2krw5.log
-rw-rw-r--. 1 sagy sagy 5197 Sep 24 06:10 sysbench-run-postgresql-1-psql1-c6r6k-q85sg.log
-rw-rw-r--. 1 sagy sagy 5194 Sep 24 06:10 sysbench-run-postgresql-2-psql1-nsggv-xcmrs.log
-rw-rw-r--. 1 sagy sagy 5189 Sep 24 06:10 sysbench-run-postgresql-3-psql1-tg8cn-cqz56.log
-rw-rw-r--. 1 sagy sagy 5193 Sep 24 06:10 sysbench-run-postgresql-4-psql1-nnzwt-ktscv.log
-rw-rw-r--. 1 sagy sagy 5196 Sep 24 06:10 sysbench-run-postgresql-5-psql1-bvd8c-kl89z.logThe psql1 directory (the name in our example for the run) holds the following files:
- logs from the jobs/pods running sysbench (file name that start with the benchmark we used, in our case sysbench)
- logs from the jobs/pods running stats from the nodes running the databases (file name that start with stats-worker)
- logs from the jobs/pods running stats from the nodes the SDS (file name start with stats-sds)
- a copy of the sherlock config file used for this run. This way you can go back and understand how many nodes used, how many databases, size of databases, pod resources and so on.
You can use the print_results script to print the sysbench results:
$ ./print_results psql1 single simple sysbench sherlock.config
Run name: psql1
Average TPS for all databases: 264.56
Average latency for all databases: 22.70
Average 95% latency for all databases: 82.29The print_results have other options as well, please explore them. If you are intrested in the performance statistics, you can either view the stats files or run a simple grep on the worker or SDS stats files:
[sagy@bastion psql1]$ grep AVERAGE stats-sds*
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log:AVERAGE EBS device nvme0n1 read/s: 2412.72, write/s: 6786.71, utilization%: 65.54
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log:AVERAGE EBS device nvme1n1 read/s: 2398.97, write/s: 6549.72, utilization%: 59.72
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log:AVERAGE RX: 27.89GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log:AVERAGE TX: 16.61GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5c7xj-fmdj2kswrt.log:AVERAGE CPU utilization: 32.87
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log:AVERAGE EBS device nvme0n1 read/s: 2018.73, write/s: 7016.56, utilization%: 63.93
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log:AVERAGE EBS device nvme1n1 read/s: 2231.00, write/s: 6310.89, utilization%: 63.61
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log:AVERAGE RX: 27.67GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log:AVERAGE TX: 21.90GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-5fv74-7fbqlz8f9b.log:AVERAGE CPU utilization: 31.28
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log:AVERAGE EBS device nvme0n1 read/s: 2543.88, write/s: 6516.52, utilization%: 67.79
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log:AVERAGE EBS device nvme1n1 read/s: 2132.71, write/s: 6859.18, utilization%: 67.01
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log:AVERAGE RX: 27.83GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log:AVERAGE TX: 20.01GB
stats-sds-psql1-vaelin-nkmld-cephnode-eastus21-8fwqv-gg89r8h5tm.log:AVERAGE CPU utilization: 26.62You can use the delete_databases script to delete all objects created by create_databases
- Adding PCP (Performance Co-Pilot) as a stats pods vs plain sysstat data. You will be able to choose between type of stats collection, but the PCP stats are going to be a lot more comprehensive and includes also graphs.
- List of SDS devices per node (vs per cluster)
- Adding redis using YCSB
- Move to Python or at least have a version in python.
- Add the ability to use "-j run" without waiting for the jobs to finish and without collecting the logs.
- Run create_database without wait and in parallel.
- Maybe operatorize the scripts :)
*(sherlock aschii image courtesy of hjm)