fix doc

Author: JophieQu

apm-protocol/apm-network/src/main/java/org/apache/skywalking/oap/server/network/trace/component/command/PprofTaskCommand.java

@@ -31,7 +31,9 @@ public class PprofTaskCommand extends BaseCommand implements Serializable, Deser
      * pprof taskId
      */
     private String taskId;
-    // Type of profiling (CPU/Heap/Block/Mutex/Goroutine/Threadcreate/Allocs)
+    /**
+     * event type of profiling (CPU/Heap/Block/Mutex/Goroutine/Threadcreate/Allocs)
+     */
     private String events;
     /**
      * run profiling for duration (minute)
@@ -45,8 +47,8 @@ public class PprofTaskCommand extends BaseCommand implements Serializable, Deser
      * pprof dump period parameters. There are different dumpperiod configurations for different events. 
      * Here is a table of parameters.
      *
-     * <p>For Block - sample an average of one blocking event per rate nanoseconds spent blocked. (default: 0)</p>
-     * <p>For Mutex - sample an average of 1/rate events are reported. (default: 0)</p>
+     * <p>for Block - sample an average of one blocking event per rate nanoseconds spent blocked. (default: 0)</p>
+     * <p>for Mutex - sample an average of 1/rate events are reported. (default: 0)</p>
      * details @see <a href="https://pkg.go.dev/runtime/pprof">pprof argument</a>
      */
     private int dumpPeriod;

docs/en/changes/changes.md

@@ -53,7 +53,6 @@
 * Self Observability: add `metrics_aggregation_queue_used_percentage` and `metrics_persistent_collection_cached_size` metrics for the OAP server.
 * Optimize metrics aggregate/persistent worker: separate `OAL` and `MAL` workers and consume pools. The dataflow signal drives the new MAL consumer, 
   the following table shows the pool size，driven mode and queue size for each worker.
-* Support the go agent(0.7.0 release) bundled pprof profiling feature. 
 
 | Worker                        | poolSize                                 | isSignalDrivenMode | queueChannelSize | queueBufferSize |
 |-------------------------------|------------------------------------------|--------------------|------------------|-----------------|
@@ -112,6 +111,8 @@
 * Make MAL percentile align with OAL percentile calculation.
 * Update Grafana dashboards for OAP observability.
 * BanyanDB: fix query `getInstance` by instance ID.
+* Support the go agent(0.7.0 release) bundled pprof profiling feature. 
+
 
 #### UI
 

docs/en/concepts-and-designs/profiling.md

@@ -49,7 +49,7 @@ Only Java agent support this.
 
 ### Go App Profiling
 
-Go App Profiling uses the [Pprof](https://github.com/google/pprof) for sampling.
+Go App Profiling uses the [pprof](https://github.com/google/pprof) for sampling.
 
 pprof is a profiling tool by Google for visualizing and analyzing sampled performance data.
 It reads samples in profile.proto format and generates text or graphical reports (via the dot visualization) to highlight performance hotspots.