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io.smartdatalake.util.azure.client.loganalytics.LogAnalyticsIngestionAppenderPlugin Maven / Gradle / Ivy
/*
* Smart Data Lake - Build your data lake the smart way.
*
* Copyright © 2019-2023 ELCA Informatique SA ()
*
* This program 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 io.smartdatalake.util.azure.client.loganalytics;
import io.smartdatalake.util.azure.LogAnalyticsAppender;
import io.smartdatalake.util.azure.LogAnalyticsAppender$;
import org.apache.logging.log4j.core.*;
import org.apache.logging.log4j.core.appender.AbstractAppender;
import org.apache.logging.log4j.core.config.Property;
import org.apache.logging.log4j.core.config.plugins.Plugin;
import org.apache.logging.log4j.core.config.plugins.PluginBuilderAttribute;
import org.apache.logging.log4j.core.config.plugins.PluginBuilderFactory;
import org.apache.logging.log4j.core.config.plugins.validation.constraints.Required;
import java.io.Serializable;
/**
* Log4j2 Appender writing logs to Azure Monitor / LogAnalytics using "Log Ingestion API",
* see also https://learn.microsoft.com/en-us/azure/azure-monitor/logs/logs-ingestion-api-overview
* This API needs an Azure AD Token for authentication, e.g. an applicationId/Secret,
* and connects to an Azure Monitor Data Collector Endpoint and a Data Collector Rule to create logs in a custom table in LogAnalytics.
* The schema of table must be defined when creating the Data Collector Rule, which also allows to do some parsing/transformations.
*
* For sending SDLB logs to AzureLogAnalytics, you can use the bundled JsonTemplateLayout definition `LogAnalyticsSdlbLayout.json`.
* Log4j2 configuration example: ```
* LogAnalyticsIngestion:
* name: AzureLogAnalytics
* endpoint: "https://???.switzerlandnorth-1.ingest.monitor.azure.com"
* ruleId: "dcr-..."
* streamName: "Custom-sdlb-log"
* JsonTemplateLayout:
* eventTemplateUri: "classpath:LogAnalyticsSdlbLayout.json"
* locationInfoEnabled: "true"
* ```
* There is also a bundled file `LogAnalyticsSdlbLayout.json.sample` with example log messages for creating the Data Collector Rule.
* To authenticate with Azure AD define environment variables AZURE_TENANT_ID, AZURE_CLIENT_ID and AZURE_CLIENT_SECRET
*
* Implementing this Appender in Java is needed as there is no static method in scala that can be annotated for Log4j2 with @PluginBuilderFactory.
* The implementation is a wrapper around LogAnalyticsAppender implemented in Scala.
*/
@Plugin(name = "LogAnalyticsIngestion", category = Core.CATEGORY_NAME, elementType = Appender.ELEMENT_TYPE, printObject = true)
public class LogAnalyticsIngestionAppenderPlugin extends AbstractAppender {
private LogAnalyticsAppender impl = null;
private LogAnalyticsIngestionAppenderPlugin(String name, String endpoint, String ruleId, String streamName, Integer maxDelayMillis, Integer batchSize, Layout extends Serializable> layout, Filter filter) {
super(name, filter, layout, /*ignoreExceptions*/ false, new Property[]{});
impl = LogAnalyticsAppender$.MODULE$.createIngestionAppender(getName(), endpoint, ruleId, streamName, maxDelayMillis, batchSize, getLayout(), getFilter());
}
@PluginBuilderFactory
public static > B newBuilder() {
return new LogAnalyticsIngestionAppenderPlugin.Builder().asBuilder();
}
@Override
public void append(LogEvent event) {
impl.append(event);
}
@Override
public void start() {
super.start();
impl.start();
}
@Override
public void stop() {
impl.stop();
super.stop();
}
public static class Builder> extends AbstractAppender.Builder
implements org.apache.logging.log4j.core.util.Builder {
@PluginBuilderAttribute
@Required
private String endpoint;
@PluginBuilderAttribute(sensitive = true)
@Required
private String ruleId;
@PluginBuilderAttribute(sensitive = true)
@Required
private String streamName;
@PluginBuilderAttribute
private Integer maxDelayMillis = 1000;
@PluginBuilderAttribute
private Integer batchSize = 100;
public B setEndpoint(final String endpoint) {
this.endpoint = endpoint;
return asBuilder();
}
public B setRuleId(final String ruleId) {
this.ruleId = ruleId;
return asBuilder();
}
public B setStreamName(final String streamName) {
this.streamName = streamName;
return asBuilder();
}
public B setMaxDelayMillis(final Integer maxDelayMillis) {
this.maxDelayMillis = maxDelayMillis;
return asBuilder();
}
public B setBatchSize(final Integer batchSize) {
this.batchSize = batchSize;
return asBuilder();
}
@Override
public LogAnalyticsIngestionAppenderPlugin build() {
return new LogAnalyticsIngestionAppenderPlugin(getName(), endpoint, ruleId, streamName, maxDelayMillis, batchSize, getLayout(), getFilter());
}
}
}