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/*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package wvlet.airframe
import org.komamitsu.fluency.ingester.sender.ErrorHandler
/**
*
*/
package object fluentd {
type TDLogger = MetricLogger
/**
* A MetricLogger design for sending metrics to Fluentd
*
*/
def withFluentdLogger(host: String = "127.0.0.1",
port: Int = 24224,
tagPrefix: String = "",
// Use the extended EventTime timestamps
// https://github.com/fluent/fluentd/wiki/Forward-Protocol-Specification-v1#eventtime-ext-format
useExtendedEventTime: Boolean = false,
maxBufferSize: Long = 512 * 1024 * 1024,
flushIntervalMillis: Int = 600,
jvmHeapBufferMode: Boolean = true,
ackResponseMode: Boolean = true,
sslEnabled: Boolean = false,
fileBackupDir: String = null,
errorHandler: ErrorHandler = null): Design = {
newDesign
.bind[MetricLogger].toInstance(
Fluentd.newFluentdLogger(
host,
port,
tagPrefix,
useExtendedEventTime,
maxBufferSize,
flushIntervalMillis,
jvmHeapBufferMode,
ackResponseMode,
sslEnabled,
fileBackupDir,
errorHandler
))
}
/**
* A MetricLogger design for sending metrics to TD
*/
def withTDLogger(apikey: String,
host: String = "api.treasuredata.com",
port: Int = 443,
tagPrefix: String = "",
maxBufferSize: Long = 512 * 1024 * 1024,
flushIntervalMillis: Int = 600,
jvmHeapBufferMode: Boolean = true,
// Use the extended EventTime timestamps
// https://github.com/fluent/fluentd/wiki/Forward-Protocol-Specification-v1#eventtime-ext-format
useExtededEventTime: Boolean = false,
fileBackupDir: String = null,
errorHandler: ErrorHandler = null): Design = {
newDesign
.bind[MetricLogger].toInstance(
Fluentd.newTDLogger(
apikey,
host,
port,
tagPrefix,
maxBufferSize,
flushIntervalMillis,
jvmHeapBufferMode,
useExtededEventTime,
fileBackupDir,
errorHandler
)
)
}
def withConsoleLogging: Design = {
newDesign
.bind[MetricLogger].to[ConsoleLogger]
}
}
