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Prometheus is installed on your local machine. If you have not done so already, follow the links below.
1. Create universe
If you have a previously running local universe, destroy it using the following.
$ ./bin/yb-ctl destroy
Start a new local cluster - by default, this will create a 3-node universe with a replication factor of 3.
$ ./bin/yb-ctl create
2. Run sample key-value app
Download the sample app jar.
$ wget https://github.com/yugabyte/yb-sample-apps/releases/download/v1.2.0/yb-sample-apps.jar?raw=true -O yb-sample-apps.jar
Run a simple key-value workload in a separate shell.
$ java -jar ./yb-sample-apps.jar \ --workload CassandraKeyValue \ --nodes 127.0.0.1:9042 \ --num_threads_read 1 \ --num_threads_write 1
3. Prepare Prometheus config file
Copy the following into a file called
global: scrape_interval: 5s # Set the scrape interval to every 5 seconds. Default is every 1 minute. evaluation_interval: 5s # Evaluate rules every 5 seconds. The default is every 1 minute. # scrape_timeout is set to the global default (10s). # YugabyteDB configuration to scrape Prometheus time-series metrics scrape_configs: - job_name: 'yugabytedb' metrics_path: /prometheus-metrics static_configs: - targets: ['127.0.0.1:7000', '127.0.0.2:7000', '127.0.0.3:7000'] labels: group: 'yb-master' - targets: ['127.0.0.1:9000', '127.0.0.2:9000', '127.0.0.3:9000'] labels: group: 'yb-tserver' - targets: ['127.0.0.1:11000', '127.0.0.2:11000', '127.0.0.3:11000'] labels: group: 'yedis' - targets: ['127.0.0.1:12000', '127.0.0.2:12000', '127.0.0.3:12000'] labels: group: 'ycql' - targets: ['127.0.0.1:13000', '127.0.0.2:13000', '127.0.0.3:13000'] labels: group: 'ysql'
4. Start Prometheus server
Go to the directory where Prometheus is installed and start the Prometheus server as below.
$ ./prometheus --config.file=yugabytedb.yml
Open the Prometheus UI at http://localhost:9090 and then navigate to the Targets page under Status.
5. Analyze key metrics
On the Prometheus Graph UI, you can now plot the read IOPS and write IOPS for the
CassandraKeyValue sample app. As we can see from the source code of the app, it uses only SELECT statements for reads and INSERT statements for writes (aside from the initial CREATE TABLE). This means we can measure throughput and latency by simply using the metrics corresponding to the SELECT and INSERT statements.
Paste the following expressions into the Expression box and click Execute followed by Add Graph.
Read Latency (in microseconds)
avg(irate(handler_latency_yb_cqlserver_SQLProcessor_SelectStmt_sum[1m])) / avg(irate(handler_latency_yb_cqlserver_SQLProcessor_SelectStmt_count[1m]))
Write Latency (in microseconds)
avg(irate(handler_latency_yb_cqlserver_SQLProcessor_InsertStmt_sum[1m])) / avg(irate(handler_latency_yb_cqlserver_SQLProcessor_InsertStmt_count[1m]))
6. Clean up (optional)
Optionally, you can shutdown the local cluster created in Step 1.
$ ./bin/yb-ctl destroy