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Neo4j kernel is a lightweight, embedded Java database designed to store data structured as graphs rather than tables. For more information, see http://neo4j.org.

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/*
 * Copyright (c) "Neo4j"
 * Neo4j Sweden AB [http://neo4j.com]
 *
 * This file is part of Neo4j.
 *
 * Neo4j is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see .
 */
package org.neo4j.kernel.monitoring.tracing;

import org.neo4j.configuration.Config;
import org.neo4j.io.pagecache.tracing.PageCacheTracer;
import org.neo4j.kernel.impl.transaction.tracing.DatabaseTracer;
import org.neo4j.lock.LockTracer;
import org.neo4j.logging.Log;
import org.neo4j.logging.NullLog;
import org.neo4j.monitoring.Monitors;
import org.neo4j.scheduler.JobScheduler;
import org.neo4j.service.Services;
import org.neo4j.time.Clocks;
import org.neo4j.time.SystemNanoClock;

import static java.lang.String.format;
import static org.apache.commons.lang3.StringUtils.isBlank;
import static org.neo4j.kernel.monitoring.tracing.NullTracersFactory.NULL_TRACERS_NAME;

/**
 * 

Tracers

*

* While monitoring is a dynamic piece of infrastructure, where monitors can be wired up and torn down on the fly, * the tracing infrastructure is static and hard-coded into the database on startup. *

*

* Tracing is always on, though the default implementation is very light weight, incurring almost no overhead. *

*

The Tracers class

*

* This is the central hub in the tracing infrastructure. *

*

* This class is responsible for choosing what tracing implementation to use, and for creating the relevant tracer * components to distribute throughout the database instance. *

*

* The tracing implementation is determined by the {@code unsupported.dbms.tracer} setting. Two built-in implementations * exist: {@code default} and {@code null}. Alternative implementations can be loaded from the * classpath by referencing their {@link org.neo4j.kernel.monitoring.tracing.TracerFactory} in a * {@code META-INF/services/org.neo4j.kernel.monitoring.tracing.TracerFactory}, and setting * {@code unsupported.dbms.tracer} to the appropriate value. *

*

Designing and implementing tracers

*

* There are two parts to tracers: the tracer implementation, which starts with the TracerFactory, and the * subsystems that expose themselves to tracing. *

*

* The traced subsystems are responsible for defining their own tracer and trace event interfaces, and they are * responsible for getting hold of a tracer implementation through the Tracers class, and for producing trace * events and feeding them with data. *

*

* Traced subsystems define a hierarchy of events: large coarse grain events can contain smaller and more * detailed events. Sibling events (that follow one after another in time) are typically spawned from the same * parent event. The tracers and trace events are all defined as interfaces, and each interface should have a * {@code NULL} field that references an implementation that does nothing, other than return other {@code NULL} * implementations of any child event interfaces. The existing trace interfaces for transactions and the page * cache, are good examples of this. *

*

* The tracer implementations are responsible for implementing all the tracer and trace event interfaces in a way * that is both fast, and robust. Robustness is important because tracer implementations are not allowed to throw * exceptions, and they are not allowed to return {@code null} where a trace event is expected. Implementations * may add implementation specific data to the events, if they want to report implementation specific data. * They are also allowed to produce the {@code NULL} implementations that are associated with the various tracer * and trace event interfaces. If, for instance, the implementation is not interested in the data that would be * collected from a given trace event, then it can choose to use the {@code NULL} implementation. It could also * be that something went wrong when building an event instance of the desired type, and since it cannot return * {@code null} or throw exceptions, it is forced to return the {@code NULL} implementation. *

*

* Tracer implementations should prefer to always return the same trace event implementation type for a given * trace event type. Using more than one implementation type impairs JIT optimisation, as it causes the callsites * in the traced code to no longer be monomorphic. Implementations should be built with performance in mind, as * the code being traced is often quite important for the performance of the database. *

*

* The {@code default} and {@code null} implementation are always available, and 3rd party implementations can * piggy-back on them and extend them. At least one 3rd party implementation is known at this point; the * neo4j-jfr implementation. It is recommended that * those change the tracer or trace event interfaces, or add tracing to more subsystems, also make sure to keep * the neo4j-jfr code base up to date. *

*/ public class Tracers { public static Tracers EMPTY_TRACERS = new Tracers( NULL_TRACERS_NAME, NullLog.getInstance(), new Monitors(), null, Clocks.nanoClock(), null ); private final PageCacheTracer pageCacheTracer; private final TracerFactory tracersFactory; private final SystemNanoClock clock; /** * Create a Tracers subsystem with the desired implementation, if it can be found and created. * * Otherwise the default implementation is used, and a warning is logged to the given StringLogger. * @param desiredImplementationName The name of the desired {@link org.neo4j.kernel.monitoring.tracing * .TracerFactory} implementation, as given by its {@link TracerFactory#getName()} method. * @param msgLog A {@link Log} for logging when the desired implementation cannot be created. * @param monitors the monitoring manager * @param jobScheduler a scheduler for async jobs */ public Tracers( String desiredImplementationName, Log msgLog, Monitors monitors, JobScheduler jobScheduler, SystemNanoClock clock, Config config ) { this.clock = clock; this.tracersFactory = createTracersFactory( desiredImplementationName, msgLog ); this.pageCacheTracer = tracersFactory.createPageCacheTracer( monitors, jobScheduler, clock, msgLog, config ); } public PageCacheTracer getPageCacheTracer() { return pageCacheTracer; } public LockTracer getLockTracer() { return tracersFactory.createLockTracer( clock ); } public DatabaseTracer getDatabaseTracer() { return tracersFactory.createDatabaseTracer( clock ); } private static TracerFactory createTracersFactory( String desiredImplementationName, Log msgLog ) { if ( NULL_TRACERS_NAME.equalsIgnoreCase( desiredImplementationName ) ) { return new NullTracersFactory(); } else { return selectTracerFactory( desiredImplementationName, msgLog ); } } private static TracerFactory selectTracerFactory( String desiredImplementationName, Log msgLog ) { if ( isBlank( desiredImplementationName ) ) { return createDefaultTracerFactory(); } try { return Services.load( TracerFactory.class, desiredImplementationName ) .orElseGet( () -> { msgLog.warn( "Using default tracer implementations instead of '%s'", desiredImplementationName ); return Tracers.createDefaultTracerFactory(); } ); } catch ( Exception e ) { msgLog.warn( format( "Failed to instantiate desired tracer implementations '%s', using default", desiredImplementationName ), e ); return createDefaultTracerFactory(); } } private static TracerFactory createDefaultTracerFactory() { return new DefaultTracerFactory(); } }




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