google-nomulus/java/google/registry/monitoring/whitebox/BigQueryMetricsEnqueuer.java
mcilwain 81dc2bbbc3 Rationalize logging statements across codebase
This fixes up the following problems:
1. Using string concatenation instead of the formatting variant methods.
2. Logging or swallowing exception messages without logging the exception
   itself (this swallows the stack trace).
3. Unnecessary logging on re-thrown exceptions.
4. Unnecessary use of formatting variant methods when not necessary.
5. Complicated logging statements involving significant processing not being
   wrapped inside of a logging level check.
6. Redundant logging both of an exception itself and its message (this is
   unnecessary duplication).
7. Use of the base Logger class instead of our FormattingLogger class.

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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=182419837
2018-01-19 14:56:45 -05:00

64 lines
2.4 KiB
Java

// Copyright 2017 The Nomulus Authors. All Rights Reserved.
//
// 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 google.registry.monitoring.whitebox;
import static com.google.appengine.api.taskqueue.TaskOptions.Builder.withUrl;
import com.google.appengine.api.modules.ModulesService;
import com.google.appengine.api.taskqueue.Queue;
import com.google.appengine.api.taskqueue.TaskOptions;
import com.google.appengine.api.taskqueue.TransientFailureException;
import com.google.common.base.Supplier;
import google.registry.util.FormattingLogger;
import java.util.Map.Entry;
import javax.inject.Inject;
import javax.inject.Named;
/**
* A collector of metric information. Enqueues collected metrics to a task queue to be written to
* BigQuery asynchronously.
*
* @see MetricsExportAction
*/
public class BigQueryMetricsEnqueuer {
private static final FormattingLogger logger = FormattingLogger.getLoggerForCallerClass();
public static final String QUEUE_BIGQUERY_STREAMING_METRICS = "bigquery-streaming-metrics";
@Inject ModulesService modulesService;
@Inject @Named("insertIdGenerator") Supplier<String> idGenerator;
@Inject @Named(QUEUE_BIGQUERY_STREAMING_METRICS) Queue queue;
@Inject BigQueryMetricsEnqueuer() {}
public void export(BigQueryMetric metric) {
try {
String hostname = modulesService.getVersionHostname("backend", null);
TaskOptions opts =
withUrl(MetricsExportAction.PATH)
.header("Host", hostname)
.param("insertId", idGenerator.get());
for (Entry<String, String> entry : metric.getBigQueryRowEncoding().entrySet()) {
opts.param(entry.getKey(), entry.getValue());
}
opts.param("tableId", metric.getTableId());
queue.add(opts);
} catch (TransientFailureException e) {
// Log and swallow. We may drop some metrics here but this should be rare.
logger.info(e, "Transient error occurred while recording metric; metric dropped.");
}
}
}