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Posted to dev@storm.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/01/09 17:48:40 UTC
[jira] [Commented] (STORM-1128) Make Stats+metrics fast
[ https://issues.apache.org/jira/browse/STORM-1128?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15090688#comment-15090688 ]
ASF GitHub Bot commented on STORM-1128:
---------------------------------------
Github user abhishekagarwal87 commented on a diff in the pull request:
https://github.com/apache/storm/pull/816#discussion_r49265495
--- Diff: storm-core/src/jvm/backtype/storm/metric/internal/CountStatAndMetric.java ---
@@ -0,0 +1,211 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you 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
+ * <p/>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p/>
+ * 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 backtype.storm.metric.internal;
+
+import java.util.Map;
+import java.util.HashMap;
+import java.util.Timer;
+import java.util.TimerTask;
+import java.util.concurrent.atomic.AtomicLong;
+
+import backtype.storm.metric.api.IMetric;
+
+/**
+ * Acts as a Count Metric, but also keeps track of approximate counts
+ * for the last 10 mins, 3 hours, 1 day, and all time.
+ */
+public class CountStatAndMetric implements IMetric{
+ private final AtomicLong _currentBucket;
+ // All internal state except for the count of the current bucket are
+ // protected using a lock on this counter
+ private long _bucketStart;
+
+ //exact variable time, that is added to the current bucket
+ private long _exactExtra;
+
+ //10 min values
+ private final int _tmSize;
+ private final long[] _tmBuckets;
+ private final long[] _tmTime;
+
+ //3 hour values
+ private final int _thSize;
+ private final long[] _thBuckets;
+ private final long[] _thTime;
+
+ //1 day values
+ private final int _odSize;
+ private final long[] _odBuckets;
+ private final long[] _odTime;
+
+ //all time
+ private long _allTime;
+
+ private final TimerTask _task;
+
+ /**
+ * @param numBuckets the number of buckets to divide the time periods into.
+ */
+ public CountStatAndMetric(int numBuckets) {
+ this(numBuckets, -1);
+ }
+
+ /**
+ * Constructor
+ * @param numBuckets the number of buckets to divide the time periods into.
+ * @param startTime if positive the simulated time to start the from.
+ */
+ CountStatAndMetric(int numBuckets, long startTime){
+ numBuckets = Math.max(numBuckets, 2);
+ //We want to capture the full time range, so the target size is as
+ // if we had one bucket less, then we do
+ _tmSize = 10 * 60 * 1000 / (numBuckets - 1);
+ _thSize = 3 * 60 * 60 * 1000 / (numBuckets - 1);
+ _odSize = 24 * 60 * 60 * 1000 / (numBuckets - 1);
+ if (_tmSize < 1 || _thSize < 1 || _odSize < 1) {
+ throw new IllegalArgumentException("number of buckets is too large to be supported");
+ }
+ _tmBuckets = new long[numBuckets];
+ _tmTime = new long[numBuckets];
+ _thBuckets = new long[numBuckets];
+ _thTime = new long[numBuckets];
+ _odBuckets = new long[numBuckets];
+ _odTime = new long[numBuckets];
+ _allTime = 0;
+ _exactExtra = 0;
+
+ _bucketStart = startTime >= 0 ? startTime : System.currentTimeMillis();
+ _currentBucket = new AtomicLong(0);
+ if (startTime < 0) {
+ _task = new Fresher();
+ MetricStatTimer._timer.scheduleAtFixedRate(_task, _tmSize, _tmSize);
+ } else {
+ _task = null;
+ }
+ }
+
+ /**
+ * Increase the count by the given value.
+ *
+ * @param count number to count
+ */
+ public void incBy(long count) {
+ _currentBucket.addAndGet(count);
+ }
+
+
+
+ @Override
+ public synchronized Object getValueAndReset() {
+ return getValueAndReset(System.currentTimeMillis());
+ }
+
+ synchronized Object getValueAndReset(long now) {
+ long value = _currentBucket.getAndSet(0);
+ long timeSpent = now - _bucketStart;
+ long ret = value + _exactExtra;
+ _bucketStart = now;
+ _exactExtra = 0;
+ rotateBuckets(value, timeSpent);
+ return ret;
+ }
+
+ synchronized void rotateSched(long now) {
+ long value = _currentBucket.getAndSet(0);
+ long timeSpent = now - _bucketStart;
+ _exactExtra += value;
+ _bucketStart = now;
+ rotateBuckets(value, timeSpent);
+ }
+
+ synchronized void rotateBuckets(long value, long timeSpent) {
+ rotate(value, timeSpent, _tmSize, _tmTime, _tmBuckets);
+ rotate(value, timeSpent, _thSize, _thTime, _thBuckets);
+ rotate(value, timeSpent, _odSize, _odTime, _odBuckets);
+ _allTime += value;
+ }
+
+ private synchronized void rotate(long value, long timeSpent, long targetSize, long [] times, long [] buckets) {
+ times[0] += timeSpent;
+ buckets[0] += value;
+
+ long currentTime = 0;
+ long currentVal = 0;
+ if (times[0] >= targetSize) {
+ for (int i = 0; i < buckets.length; i++) {
--- End diff --
@revans2 Instead of making a pass over the array, can we instead keep an index for each array and rotate the index instead?
> Make Stats+metrics fast
> -----------------------
>
> Key: STORM-1128
> URL: https://issues.apache.org/jira/browse/STORM-1128
> Project: Apache Storm
> Issue Type: Improvement
> Components: storm-core
> Reporter: Robert Joseph Evans
> Assignee: Robert Joseph Evans
> Fix For: 0.11.0
>
>
> Stats + Built in metrics are slow. If we can make them fast we can can either process more data or not sample as much.
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