JarCastingeAlvaLog
eAlvaLog is a Kotlin/Java logging facade initially inspired by various other logging frameworks
Libraries
- elavalog - the API and some framework functionality
- ealvalog-java - provides JLogger for java clients (fat interface, extensible). Requires ealvalog
- ealvalog-core - adds CoreLogger as base for bridging to other frameworks and Marker implementation. Requires ealvalog
- ealvalog-android - very thin facade over the Android logger. Requires ealvalog and ealvalog-core
- ealvalog-jdk - adapts to java.util.logging. Requires ealvalog and ealvalog-core
- ealvalog-jdk-android - adds an Android handler to be used with ealvalog-jdk. Used with ealvalog-jdk when more functionality is required over ealvalog-android
- ealvalog-log4j - adapts to log4j2. Requires ealvalog and ealvalog-core
If you wish to create another facade implementation, it's recommended you start at the ealvalog-core level. We also hope you'd contribute it back to this library.
When to use each library:
- Kotlin Library: ealvalog. Add ealvalog-core if Markers are needed
- Java Library: ealvalog and ealvalog-java. Add ealvalog-core if Markers are needed
- Kotlin Android app with android logging only: ealvalog-android, ealvalog-core, and ealvalog
- Java Android app with android logging only: ealvalog-android, ealvalog-java, ealvalog-core, and ealvalog
- Java Android app with android logging only: ealvalog-android, ealvalog-java, ealvalog-core, and ealvalog
- App requiring java.util.logging (JUL) functionality: ealvalog-jdk and #3 or #4
- App requiring JUL and android logging: ealvalog-jdk-android and #5
- App requiring Log4j2 functionality: ealvalog-log4j, alvalog-core, and ealvalog
- Extending/customizing java logging: ealvalog-java, ealvalog-core, and ealvalog
- Implementing a facade over another logging framework: ealvalog-core and ealvalog. See ealvalog-log4j as an example.
See the sample apps for use and required libs (build.gradle)
Quick Start
- Android Setup
dependencies {
implementation 'com.ealva:ealvalog:0.5.4'
implementation 'com.ealva:ealvalog-core:0.5.4'
implementation 'com.ealva:ealvalog-android:0.5.4'
}
public class MyApp extends Application {
public void onCreate() {
AndroidLogger.setHandler(new DebugLogHandler());
Loggers.setFactory(new AndroidLoggerFactory());
}
}
- Setup for facade over java.util.logging and also logs to Android log
dependencies {
implementation 'com.ealva:ealvalog:0.5.4'
implementation 'com.ealva:ealvalog-core:0.5.4'
implementation 'com.ealva:ealvalog-java:0.5.4'
implementation 'com.ealva:ealvalog-jdk:0.5.4'
implementation 'com.ealva:ealvalog-jdk-android:0.5.4'
}
public class JavaApp extends Application {
@Override public void onCreate() {
super.onCreate();
Configuration config;
// Configure the Loggers singleton
if (BuildConfig.DEBUG) {
config = new JulConfiguration(true, true, AndroidLoggerHandler.Companion.make(), LogLevel.WARN);
} else {
Fabric.with(this, CrashlyticsCore(), Answers(), Crashlytics());
config = new JulConfiguration(false, CrashlyticsLogHandler(), LogLevel.ERROR);
}
config.configure();
}
}
class KotlinApp : Application() {
override fun onCreate() {
super.onCreate()
if (BuildConfig.DEBUG) {
JulConfiguration(true, true, AndroidLoggerHandler.make(), LogLevel.WARN)
} else {
Fabric.with(this, CrashlyticsCore(), Answers(), Crashlytics())
JulConfiguration(false, CrashlyticsLogHandler(), LogLevel.ERROR)
}.configure()
}
}
private fun LogLevel.toAndroid(): Int {
return when (this) {
LogLevel.ALL -> Log.VERBOSE
LogLevel.TRACE -> Log.VERBOSE
LogLevel.DEBUG -> Log.DEBUG
LogLevel.INFO -> Log.INFO
LogLevel.WARN -> Log.WARN
LogLevel.ERROR -> Log.ERROR
LogLevel.CRITICAL -> Log.ASSERT
LogLevel.NONE -> Int.MAX_VALUE
else -> Log.ERROR // unexpected error level in the log should flag this issue
}
}
internal class CrashlyticsLogHandler : Handler() {
private val formatter: ExtRecordFormatter = ExtRecordFormatter()
override fun publish(record: LogRecord?) {
if (record == null) {
return
}
val logLevel = record.logLevel
if (logLevel.isAtLeast(LogLevel.ERROR) && EalvaTagLog.MARKER != record.marker)
Crashlytics.log(
logLevel.toAndroid(),
"AlvaPlayer",
formatter.format(record)
)
val thrown = record.thrown
if (thrown != null) {
Crashlytics.logException(thrown)
}
}
override fun flush() {}
@Throws(SecurityException::class)
override fun close() {
}
}
- Logger use (canonical)
public class MainActivity extends Activity {
private static final JLogger LOG = JLoggers.get(MainActivity.class);
public void someMethod() {
LOG.log(LogLevel.ERROR, "Widget %s too large, height=%d", widget, heightCentimeters);
}
}
- Kotlin client
private val LOG by lazyLogger(ArtistTable::class) // don't get the logger unless we actually use it
class ArtistTable {
fun someMethod(artistId: Long) {
LOG.e { +it("No record for artist _id=%d", artistId) } // + operator adds call site information
}
}
- Examples of Kotlin extension functions for debug only logging. The client should copy these from Loggers.kt for use in their app. This code is not provided in this library as it's Android specific and the "debug flag" (BuildConfig.DEBUG for Android) should be defined in the application code.
inline fun Logger._w(
throwable: Throwable? = null,
marker: Marker? = null,
block: (LogEntry) -> Unit
) {
if (BuildConfig.DEBUG) w(throwable, marker, block)
}
inline fun Logger._e(
throwable: Throwable? = null,
marker: Marker? = null,
block: (LogEntry) -> Unit
) {
if (BuildConfig.DEBUG) e(throwable, marker, block)
}
Ensure you have the most recent version by checking here
Performance
Using the Loggly Logging Framework Benchmark, modified to include this framework, shows an average performance gain of approximately 37-40% using this facade over using java.util.logging directly. This is due to eAlvaLog using cached LogRecords, StringBuilders, and Formatters. Tests were conducted logging to a file synchronously.
The AndroidLogger uses the same framework but logs to the android.log.Log. eAlvaLog overhead compared to logging directly to android.log.Log is fundamentally String.format() over cached StringBuilders. This alleviates the need for the client to do string building, so performance is comparable and will be better when the client code was previously doing extensive formatting.
Using this framework over Log4j2 results in approximately the same performance, if using typical parameterized logging, as logging directly to Log4j2. eAlvaLog adapts its ExtLogRecord to Log4j2 LogEvent, which helps to avoid a performance penalty. Logging synchronously using this framework's append functions performs better (approximately 2-3% in the Loggly test harness) than logging directly to Log4j2. If logging asynchronously it would be better to use parameterized logging so that formatting occurs on a background thread.
Note: The Log4j2 and Jul tests are written in java, while most of the eAlvaLog tests are written in Kotlin. The Kotlin compiler inserts calls to kotlin.jvm.internal.Intrinsics.checkParameterIsNotNull() for function parameters that are specified as not nullable, which slightly increases the runtime of these functions. Profiling using VisualVM shows these calls account for 1.5-2.5% of total execution time. During a run where the log methods, eg. writeToDestination(), are executed 3,781,759, checkParameterIsNotNull() is executed 83,198,741, given a particular version of eAlvaLog. These calls could account for the performance differences between using eAlvaLog and using Log4j2 directly, during most profiling runs, however this difference is within the deviation found executing the same tests back-to-back.
Why?
In developing both a general purpose library (eAlvaTag), forked from an older library, and a very large Android application, we used 2 different loggers. The Android specific logger was a very thin veneer over String.format() and android.util.log. The general purpose library used java.util.logging and was very heavy: lots of string concatenation even when logging was never occurring, string-number formatting when nothing was being logged, enormous number of StringBuilder instances being created - many totally unnecessary...
We know of 3 very good logging frameworks, 1 Android specific and 2 general purpose. None of these provided what we wanted. The Android specific lib is very nice in both API and implementation, but does not provide anything close to our requirements. The 2 general purpose libraries, one widely used and the other state-of-art, are very heavy in both API and code. While tools such as Proguard help in this area, we want to start with something a facade that is light (not much code) and thin (not much API) over multiple logger frameworks.
We decided we wanted a facade over various other logging implementations that provides:
- Aggressively minimize object creation, especially when no logging will actually occur.
- Powerful string formatting and parameterized substitution, in support of #1.
- Keep the API relatively small. In our opinion, hundreds of convenience methods as found in other frameworks, add very little in readability or ease of use, yet can creep into lower layers of the framework and bulk the code dramatically.
- Provide a base class and example in case a client desires some of the "convenience" methods mentioned in #3. This not only keeps the library much smaller, but we've also found the number of these "convenience" methods per app/project is very small in practice.
- Push configuration/dependency management/dependency injection into the client, while providing base classes and configuration classes.
- Minimize framework layers and only add heavier lower layers as needed (async logging, logging to file, database, etc.)
- Support Android logger and java.util.logging initially, with others added if/when necessary.
- An adapter over Log4j2 has been added and exists as an example. An adapter for Logback would look very similar.
This library was originally written in Java but has been ported to Kotlin. The original Java API was very much like other logging frameworks, very fat with lots of convenience methods. The Kotlin version strips away most of this API and moves the fat interface into a separate module for Java clients. The Java interface, which is built on top of the Kotlin interface, is also extensible to provide custom logging methods.
Result
- Object creation at the log site is zero (client code aside). The Kotlin interface uses inline extension functions so no object creation, calculations for log info, or formatting, occurs until level checks and filters pass. For Java, if a custom JLogger subclass is developed by the client, even logging primitives as format arguments will create zero objects unless the logging passes level checks and filters. A JLogger subclass requires minimal code and is entirely optional.
- eAlvaLog provides filtering using LogLevel, Throwable, and Markers to short-circuit logging as quickly as possible. If the statement will not ultimately be logged, objects are not created.
- Object creation inside the framework is minimized via thread local Formatter/StringBuilder/log records.
- Android clients may use the eAlvaLog-android library alone, which is a very thin facade over Android logging. It handles such things as tag creation, log statement formatting, call site location... A debug log handler is provided along with an example of creating a release handler for things such as Crashlytics integration.
- Android clients may also use the eAlvaLog-jdk facade along with an Android LoggerHandler. This provides the ability to mix logging styles using the eAlvaLog facade. For example, one part of the application can log straight to the Android logger and another part, such as a library, can log to a rotating set of files. This is easily configured using some combination of Handlers, Filters, and/or Markers.
- Markers are provided in each facade implementation and are available to filters and formatters to be presented in log output.
- One design goal of eAlvaLog is to keep as much configuration code out of the framework as possible. Instead it is expected dependencies will be injected either by provided helper classes or client code. This area is still largely TBD, but separation of concerns keeps the logging code much more simple.
- The underlying formatting code for the Android logger uses java.util.Formatter printf style formatting. This is also available in the Jul logger but requires a Handler of the type provided by this framework. We chose this for much greater flexibility in formatting and to remove client code we found in applications and libraries that formats information specifically for logging. The result is pushing formatting down into the framework, providing very flexible formatting options. The framework uses a thread local formatter/string builder combination to greatly reduce object creation. All formatting is done into a reused, per-thread, StringBuilder.
- The resulting libraries are very small.
- After a rewrite to directly support Kotlin style logging, the Logger interface was reduced to 6 properties and 4 functions. Kotlin clients use inline extension functions which push a very small amount of code into the client but provide even greater flexibility/control at the log site. For example, including log location information can be controlled per log statement and is done via the plus unary operator. A layer built on top of the Kotlin classes provides the standard Java style logging interface and it is also easily extended to provide even tighter control over object creation, eg. keeping primitives unboxed until the logging actually occurs.