Note that the arguments are for "gcc", not "ld".

	Example:
	//go:cgo_ldflag "-lpthread"
	//go:cgo_ldflag "-L/usr/local/sqlite3/lib"

A package compiled with cgo will include directives for both
internal and external linking; the linker will select the appropriate
subset for the chosen linking mode.

Example

As a simple example, consider a package that uses cgo to call C.sin.

The result will be a JSON document. To invoke the API you need to extract the value of the access_token property. You can then invoke the API by including the value in the Authorization header of requests to the API.

The following example shows how to get the details of the user with `{userid}` from `{realm}` realm:

```
curl \
  -H "Authorization: Bearer eyJhbGciOiJSUz..." \
  "http://localhost:8080/auth/admin/realms/{realm}/users/{userid}"
```

- Choice of erasure set size is automatic based on the number of drives available, let's say for example if there are 32 servers and 32 drives which is a total of 1024 drives. In this scenario 16 becomes the erasure set size. This is decided based on the greatest common divisor (GCD) of acceptable erasure set sizes ranging from *4 to 16*.

For example, consider a MinIO deployment behind a proxy `https://minio.example.net`, `https://console.minio.example.net` with rules for forwarding traffic on port :9000 and :9001 to MinIO and the MinIO Console respectively on the internal network. Set `MINIO_BROWSER_REDIRECT_URL` to `https://console.minio.example.net` to ensure the browser receives a valid reachable URL.

For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.

### 3. Example

      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "time() - max(minio_node_process_starttime_seconds{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": true,
          "interval": "",

        Crawler crawler = container.getComponent("crawler");
        
        // Configure crawling parameters
        crawler.addUrl("https://example.com");
        crawler.crawlerContext.setMaxAccessCount(100);
        crawler.crawlerContext.setNumOfThread(5);
        crawler.urlFilter.addInclude("https://example.com/.*");
        
        // Execute crawling
        String sessionId = crawler.execute();

### **4.1 Spark Pi**

Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.

        String[] sitemaps = new String[] { "http://example.com/sitemap.xml", "http://test.com/sitemap.xml" };
        crawlerContext.addSitemaps(sitemaps);

        // Remove and verify
        String[] removedSitemaps = crawlerContext.removeSitemaps();
        assertNotNull(removedSitemaps);
        assertEquals(2, removedSitemaps.length);
        assertEquals("http://example.com/sitemap.xml", removedSitemaps[0]);