JVM Profiling in Action

• async-profiler

  10 7,112 8.7 C++

  Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events

  

We'll use async-profiler and flame graphs for profiling. To simplify the process, we'll run the code using JBang.

• FlameGraph

  53 16,438 4.5 Perl

  Stack trace visualizer

We'll use async-profiler and flame graphs for profiling. To simplify the process, we'll run the code using JBang.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Gson

  27 22,945 9.1 Java

  A Java serialization/deserialization library to convert Java Objects into JSON and back

  

Most of the time is spent in JSON parsing, specifically in AccessLogAggregator.parseLineJson. Within parsing, the majority of time is spent in org/json/JSONObject.. Since there are faster JSON libraries available, we'll switch to Gson and repeat the tests. To do this, we'll add the following method to our code:

• itu

  1 21 9.1 Java

  An extremely fast parser and formatter of standardized date and date-times supporting RFC-3339 (ISO-8601 profile) and more.

Now that the JSON parsing time has decreased, we see that timestamp parsing, specifically java/time/OffsetDateTime.parse, is taking a significant amount of the total parsing time. Java's built-in timestamp parsing is notoriously slow. Luckily, a faster alternative exists: https://github.com/ethlo/itu.

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