From 886209ecb4d6e11ed8268f53369006f7d274fed3 Mon Sep 17 00:00:00 2001 From: Sam Xie Date: Mon, 4 Mar 2024 13:18:12 -0800 Subject: [PATCH] Add new blog post for otelsql (#4048) --- .../getting-started-with-otelsql/index.md | 429 ++++++++++++++++++ .../jaeger-example.png | Bin 0 -> 294871 bytes .../prometheus-example.png | Bin 0 -> 309584 bytes .../real-world-like-jaeger-example.png | Bin 0 -> 294871 bytes .../sqlcommenter-example.png | Bin 0 -> 204633 bytes static/refcache.json | 40 ++ 6 files changed, 469 insertions(+) create mode 100644 content/en/blog/2024/getting-started-with-otelsql/index.md create mode 100644 content/en/blog/2024/getting-started-with-otelsql/jaeger-example.png create mode 100644 content/en/blog/2024/getting-started-with-otelsql/prometheus-example.png create mode 100644 content/en/blog/2024/getting-started-with-otelsql/real-world-like-jaeger-example.png create mode 100644 content/en/blog/2024/getting-started-with-otelsql/sqlcommenter-example.png diff --git a/content/en/blog/2024/getting-started-with-otelsql/index.md b/content/en/blog/2024/getting-started-with-otelsql/index.md new file mode 100644 index 000000000000..addb5c6b726b --- /dev/null +++ b/content/en/blog/2024/getting-started-with-otelsql/index.md @@ -0,0 +1,429 @@ +--- +title: + Getting started with otelsql, the OpenTelemetry instrumentation for Go SQL +linkTitle: Getting started with otelsql +date: 2024-03-04 +author: '[Sam Xie](https://github.com/XSAM) (Cisco)' +cSpell:ignore: otelsql sqlcommenter +--- + +[otelsql](https://github.com/XSAM/otelsql) is an instrumentation library for the +[`database/sql`](https://pkg.go.dev/database/sql) library of the Go programming +language. It generates traces and metrics from the application when interacting +with databases. By doing that, the library allows you to identify errors or +slowdowns in your SQL queries that potentially impact the performance of your +application. + +Let's go dive into how to use this library! + +## Getting Started + +otelsql is a wrapper layer for interfaces from `database/sql`. When users use +the wrapped database interfaces, the otelsql generates the telemetry data and +passes operations to the underlying database. + +In the following example, you are going to use +[Docker Compose](https://docs.docker.com/compose/) to run the otel-collector +example from the otelsql repository. This example uses a MySQL client with the +otelsql instrumentation. The telemetry it generates will be pushed to the +OpenTelemetry Collector. Then, it shows the trace data on Jaeger and the metrics +data on a Prometheus server. + +Here is the data flow: + +```mermaid +flowchart LR; + A[MySQL client]-->B[OpenTelemetry Collector]; + B-->C["Jaeger (trace)"]; + B-->D["Prometheus (metrics)"]; +``` + +Let's clone the otelsql repository here and run the example and take a look at +the most important lines of code. + +```sh +git clone https://github.com/XSAM/otelsql.git +``` + +In the otelsql folder, you can also check out the git tag to `v0.29.0` (the +latest tag while writing this post) to ensure the example is runnable, as the +steps to run the example might be changed in the future. + +```sh +git checkout tags/v0.29.0 +``` + +Let's go to the folder of the otel-collector example and bring up all services. + +```sh +cd example/otel-collector +docker compose up -d +``` + +After building images and running services, let's check the service logs to +ensure the SQL client is finished. + +```sh +docker compose logs client +``` + +Then, we can access the Jaeger UI at [localhost:16686](http://localhost:16686) +and the Prometheus UI at [localhost:9090](http://localhost:9090) to see the +results. + +Here we are viewing a trace graph on Jaeger. We can see the duration and +parameters of each operation with the database. + +![example of Jaeger UI](jaeger-example.png) + +Here we are viewing the metric `db_sql_latency_milliseconds_sum` on Prometheus. + +![example of Prometheus UI](prometheus-example.png) + +More otelsql generated metrics options can be found on the +[otelsql document](https://github.com/XSAM/otelsql/blob/main/README.md#metric-instruments). + +## Understand the example + +Let's look at the `docker-compose.yaml` file first. + +```yaml +version: '3.9' +services: + mysql: + image: mysql:8.3 + environment: + - MYSQL_ROOT_PASSWORD=otel_password + - MYSQL_DATABASE=db + healthcheck: + test: + mysqladmin ping -h 127.0.0.1 -u root --password=$$MYSQL_ROOT_PASSWORD + start_period: 5s + interval: 5s + timeout: 5s + retries: 10 + + otel-collector: + image: otel/opentelemetry-collector-contrib:0.91.0 + command: ['--config=/etc/otel-collector.yaml'] + volumes: + - ./otel-collector.yaml:/etc/otel-collector.yaml + depends_on: + - jaeger + + prometheus: + image: prom/prometheus:v2.45.2 + volumes: + - ./prometheus.yaml:/etc/prometheus/prometheus.yml + ports: + - 9090:9090 + depends_on: + - otel-collector + + jaeger: + image: jaegertracing/all-in-one:1.52 + ports: + - 16686:16686 + + client: + build: + dockerfile: $PWD/Dockerfile + context: ../.. + depends_on: + mysql: + condition: service_healthy +``` + +This Docker compose file contains five services. The `client` service is the +MySQL client built from Dockerfile and the source code is main.go in the example +folder. The `client` service runs after the `mysql` service is up. Then, it +initializes the OpenTelemetry client and otelsql instrumentation, make SQL +queries to the `mysql` service, and send metrics and trace data to +`otel-collector` service through the +[OpenTelemetry Protocol (OTLP)](/docs/specs/otel/protocol/). + +After receiving the data, the `otel-collector` service transfers the data format +and send metrics data to the `prometheus` service, and send trace data to the +`jaeger` service. + +Let's check `main.go` to see what happens in the `client` service. Here is the +main function. + +```go +func main() { + ctx, cancel := signal.NotifyContext(context.Background(), os.Interrupt) + defer cancel() + + conn, err := initConn(ctx) + if err != nil { + log.Fatal(err) + } + + shutdownTracerProvider, err := initTracerProvider(ctx, conn) + if err != nil { + log.Fatal(err) + } + defer func() { + if err := shutdownTracerProvider(ctx); err != nil { + log.Fatalf("failed to shutdown TracerProvider: %s", err) + } + }() + + shutdownMeterProvider, err := initMeterProvider(ctx, conn) + if err != nil { + log.Fatal(err) + } + defer func() { + if err := shutdownMeterProvider(ctx); err != nil { + log.Fatalf("failed to shutdown MeterProvider: %s", err) + } + }() + + db := connectDB() + defer db.Close() + + err = runSQLQuery(ctx, db) + if err != nil { + log.Fatal(err) + } + + fmt.Println("Example finished") +} +``` + +This `main` function is pretty straightforward. It initializes a connection with +the `otel-collector` service, which is used by the tracer provider and the meter +provider. Then, it configures the tracer provider and meter provider with the +`connection` and a shutdown method, which ensures the telemetry data can be +pushed to the `otel-collector` service correctly before exiting the application. +After finishing setting up the OpenTelemetry client, it invokes the `connectDB` +method to use the otelsql library to interact with the MySQL database. Let's +look at the details here. + +```go +func connectDB() *sql.DB { + // Connect to database + db, err := otelsql.Open("mysql", mysqlDSN, otelsql.WithAttributes( + semconv.DBSystemMySQL, + )) + if err != nil { + log.Fatal(err) + } + + // Register DB stats to meter + err = otelsql.RegisterDBStatsMetrics(db, otelsql.WithAttributes( + semconv.DBSystemMySQL, + )) + if err != nil { + log.Fatal(err) + } + return db +} +``` + +Instead of using the [`sql.Open`](https://pkg.go.dev/database/sql#Open) method +that Go provides, we use +[`otelsql.Open`](https://pkg.go.dev/github.com/XSAM/otelsql#Open) to create an +[`sql.DB`](https://pkg.go.dev/database/sql#DB) instance. The `sql.DB` instance +returned by `otelsql.Open` is a wrapper that transfers and instruments all DB +operations to the underlying `sql.DB` instance (created by `sql.Open`). When +users send SQL queries with this wrapper, `otelsql` can see the queries and use +the OpenTelemetry client to generate telemetry. + +Besides using `otelsql.Open`, `otelsql` provides three additional ways to +initialize instrumentation: `otelsql.OpenDB`, `otelsql.Register`, and +`otelsql.WrapDriver`. These additional methods cover different use cases, as +some database drivers or frameworks don't provide a direct way to create +`sql.DB`. Sometimes, you might need these additional methods to manually create +a `sql.DB` and push it to those database drivers. You can check +[examples on the otelsql document](https://pkg.go.dev/github.com/XSAM/otelsql#pkg-examples) +to learn how to use these methods. + +Moving on, we use `otelsql.RegisterDBStatsMetrics` to register metrics data from +`sql.DBStats`. The metrics recording process runs in the background and updates +the value of the metric when needed after the registration, so we don't need to +worry about creating an individual thread for this. + +After having an `sql.DB` wrapped by `otelsql`, we can use it to make queries. + +```go +func runSQLQuery(ctx context.Context, db *sql.DB) error { + // Create a parent span (Optional) + tracer := otel.GetTracerProvider() + ctx, span := tracer.Tracer(instrumentationName).Start(ctx, "example") + defer span.End() + + err := query(ctx, db) + if err != nil { + span.RecordError(err) + return err + } + return nil +} + +func query(ctx context.Context, db *sql.DB) error { + // Make a query + rows, err := db.QueryContext(ctx, `SELECT CURRENT_TIMESTAMP`) + if err != nil { + return err + } + defer rows.Close() + + var currentTime time.Time + for rows.Next() { + err = rows.Scan(¤tTime) + if err != nil { + return err + } + } + fmt.Println(currentTime) + return nil +} +``` + +This `runSQLQuery` method creates a parent span first (it is an optional step, +it makes the query spans have a parent, and it looks good on the trace graph), +then queries the current timestamp from the MySQL database. + +After this method, the `client` application finishes and exits. They are the +most important lines of code for understanding the example. + +## Use the example as a playground + +After understanding the example, we can use it as a playground, making it a bit +complicated to see how it will be used in a real-world scenario. + +Use the following codes to replace the `runSQLQuery` method in the example. + +```go +func runSQLQuery(ctx context.Context, db *sql.DB) error { + // Create a parent span (Optional) + tracer := otel.GetTracerProvider() + ctx, span := tracer.Tracer(instrumentationName).Start(ctx, "example") + defer span.End() + + runSlowSQLQuery(ctx, db) + + err := query(ctx, db) + if err != nil { + span.RecordError(err) + return err + } + return nil +} + +func runSlowSQLQuery(ctx context.Context, db *sql.DB) { + db.QueryContext(ctx, `SELECT SLEEP(1)`) +} +``` + +This time, we added a new query to the example, which is a slow query that would +take 1 second to return. Let's see what could happen and how to identify this +slow query. + +To make this change work, we need to rebuild the `client` service. + +```sh +docker compose build client +docker compose up client +``` + +After the client is finished, we can check the trace graph for the trace we just +generated on Jaeger. + +![example of real-world-like Jaeger UI](real-world-like-jaeger-example.png) + +From this graph, we know the entire example takes 1 second to complete. The root +cause of this slowness is not related to the network latency with the database +and the timestamp query. It is the `SELECT SLEEP(1)` query that leads to the +slowness. + +You can also learn about the slowness from the aggregated statistics of the +database by metrics. Such is the observability otelsql can provide so you can +learn what your application is doing with the database. + +## Compatibility + +You might worry about the compatibility issue with other databases and other +third-party database frameworks (like ORMs) and wonder how widely this +instrumentation can be used. + +From an implementation perspective, as long as the database drivers or the +database frameworks interact with the database (any database, not just an SQL +database) through `database/sql` with context, `otelsql` should work just fine. + +This is an +[example](https://github.com/ent/ent/issues/1232#issuecomment-1200405070) that +shows how otelsql works with Facebook's entity framework for Go. + +## Other cool features + +Now that you've experienced the main feature, let's take some time to explore +the other cool features `otelsql` provides. + +### Sqlcommenter support + +otelsql integrates [Sqlcommenter](https://google.github.io/sqlcommenter), an +open source ORM auto-instrumentation library that merges with OpenTelemetry by +injecting a comment into SQL statements to enable context propagation for the +database. + +Using the option `WithSQLCommenter`, otelsql injects a comment for every SQL +statement it instruments. + +For instance, an SQL query sent to the database + +```sql +SELECT * from FOO +``` + +becomes + +```sql +SELECT * from FOO /*traceparent='00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01',tracestate='congo%3Dt61rcWkgMzE%2Crojo%3D00f067aa0ba902b7'*/ +``` + +Then the database that supports `Sqlcommenter` can record its operation for this +query with a specified trace and publish its trace spans to a trace store, so +you can see your application trace spans correlated with query trace spans from +the database in one place. + +![example of Sqlcommenter from google cloud document](sqlcommenter-example.png) + +> Picture coming from +> [google cloud document](https://cloud.google.com/blog/products/databases/sqlcommenter-merges-with-opentelemetry). + +### Custom span name + +If you don't like the default span name, you can use +`otelsql.WithSpanNameFormatter` to customize the span name. + +Here is the example usage: + +```go +otelsql.WithSpanNameFormatter(func(ctx context.Context, method otelsql.Method, query string) string { + return string(method) + ": " + query +}) +``` + +Then, the span name could become `{method}: {query}`. Here is an example of the +span name: + +```text +sql.conn.query: select current_timestamp +``` + +### Filter spans + +You can use `otelsql.SpanFilter` from `otelsql.SpanOptions` to filter out spans +you don't want to generate. It is useful when you want to discard some spans. + +## What's next? + +You should now be able to apply what you have learned from this blog post to +your own installation of otelsql. + +I would love to hear about your experience! Star `otelsql` if you find it +helpful! If you run into any problems, don't hesitate to +[reach out](https://github.com/XSAM/otelsql?tab=readme-ov-file#communication) or +[create an issue](https://github.com/XSAM/otelsql/issues). diff --git a/content/en/blog/2024/getting-started-with-otelsql/jaeger-example.png b/content/en/blog/2024/getting-started-with-otelsql/jaeger-example.png new file mode 100644 index 0000000000000000000000000000000000000000..a034301b2ba599d29d218d255dcc56550bfc0536 GIT binary patch literal 294871 zcmbq*XIK+mw>BV%sDOeEkfI2PQ~^Ociqe}@>8L=YMoQ>KXXWC}^~f90tzZx>~qSL2)$AL0MT(U0In+&mC;<;A}@hq4pv+j@B@`{Y)!%r*8eG z`c3MLe;FsyVr#u8*XX~yt|up;fu z)STWbk3I{9nshGPOvj}MSV#cM{H19OdWOuzxu#L2NpLMk> zg0@vhOc5>O5Je+*pf@wRWO^?;nfK`Qm8rImSEB_x>7S?A&Of}br86+QcgzpMd5EGrq3?YU!lQ*g zj?GbW+c4z!A}t=%u2NERQQvxeF5<{6r9vBpw9-+0BU3TcsZjmmlg^YzHfM(qF+6Vi za`_=uc7yLD77JR~7fGKZr_vZ}D4M>opL@!6gz?S=nGBkFW!{L>(-b8aL@rYt4Sk<> z>oSc-*yo7zW>f{wG~S7QI66u{cvDfC?;WAX=)K9v6$^Df zlYVsh{Gslr{a>Fxx?n+F6ejSMb?e0Vk<_rFCd56OT`GSg`Q+!hK5|#SR 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