Metrics Librato Support framework in Java library performance optimization skills
In order to improve the performance of the Metrics Librato Support framework, the following optimization skills can be used:
1. Control data sending frequency: librato supports asynchronous sending data, which can use this feature to reduce the frequency of sending data.By buffering and sending the sending data to reduce network overhead and processing overhead.Below is an example code that uses Librato asynchronous sending data:
import com.librato.metrics.LibratoReporter;
import com.librato.metrics.ReporterBuilder;
public class LibratoMetricsExample {
public static void main(String[] args) {
// Create libratoreporter instance
LibratoReporter reporter = ReporterBuilder
.builder()
.build();
// Start libratoreporter
reporter.start();
// send data
reporter.measure("metric.name", 42);
// Close libratoreporter
reporter.stop();
}
}
2. Reduce network overhead: Reducing the size of each sending data can reduce network overhead.You can use the MetricsBatch class provided by Librato to group multiple indicators and send it at one time.Below is an example code that sends multiple indicators using MetricsBatch:
import com.librato.metrics.MetricsBatch;
import com.librato.metrics.LibratoReporter;
import com.librato.metrics.ReporterBuilder;
public class LibratoMetricsExample {
public static void main(String[] args) {
// Create libratoreporter instance
LibratoReporter reporter = ReporterBuilder
.builder()
.build();
// Start libratoreporter
reporter.start();
// Create MetricsBatch instance
MetricsBatch batch = reporter.newBatch();
// Add multiple indicators to MetricsBatch
batch.measure("metric1", 42);
batch.measure("metric2", 24);
// Data sending MetricsBatch
batch.flush();
// Close libratoreporter
reporter.stop();
}
}
3. Avoid frequent creation objects and string stitching: In scenarios with high performance requirements, avoiding frequent creation objects and string stitching is a common optimization method.You can create an index object that needs to be sent in advance to avoid repeated creation.The following is an example code:
import com.librato.metrics.Metric;
import com.librato.metrics.LibratoReporter;
import com.librato.metrics.ReporterBuilder;
public class LibratoMetricsExample {
public static void main(String[] args) {
// Create libratoreporter instance
LibratoReporter reporter = ReporterBuilder
.builder()
.build();
// Start libratoreporter
reporter.start();
// Create metric objects
Metric metric = new Metric("metric.name");
// send data
metric.setValue(42);
reporter.report(metric);
// Close libratoreporter
reporter.stop();
}
}
By using the above performance optimization techniques, the performance of Metrics Librato Support framework in the Java library can be improved.
