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apache / storm / 5b89af3d4430483ef40f9fec7cdf960e3647059e / . / storm-server / src / main / java / org / apache / storm / stats / StatsUtil.java
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/*
* 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
*
* 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 org.apache.storm.stats;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import org.apache.storm.cluster.ExecutorBeat;
import org.apache.storm.cluster.IStormClusterState;
import org.apache.storm.generated.Bolt;
import org.apache.storm.generated.BoltAggregateStats;
import org.apache.storm.generated.BoltStats;
import org.apache.storm.generated.ClusterWorkerHeartbeat;
import org.apache.storm.generated.CommonAggregateStats;
import org.apache.storm.generated.ComponentAggregateStats;
import org.apache.storm.generated.ComponentPageInfo;
import org.apache.storm.generated.ComponentType;
import org.apache.storm.generated.ErrorInfo;
import org.apache.storm.generated.ExecutorAggregateStats;
import org.apache.storm.generated.ExecutorInfo;
import org.apache.storm.generated.ExecutorSpecificStats;
import org.apache.storm.generated.ExecutorStats;
import org.apache.storm.generated.ExecutorSummary;
import org.apache.storm.generated.GlobalStreamId;
import org.apache.storm.generated.SpecificAggregateStats;
import org.apache.storm.generated.SpoutAggregateStats;
import org.apache.storm.generated.SpoutStats;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.generated.SupervisorWorkerHeartbeat;
import org.apache.storm.generated.TopologyPageInfo;
import org.apache.storm.generated.TopologyStats;
import org.apache.storm.generated.WorkerResources;
import org.apache.storm.generated.WorkerSummary;
import org.apache.storm.scheduler.WorkerSlot;
import org.apache.storm.shade.com.google.common.collect.Lists;
import org.apache.storm.utils.Time;
import org.apache.storm.utils.Utils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@SuppressWarnings("unchecked")
public class StatsUtil {
public static final String TYPE = "type";
public static final int TEN_MIN_IN_SECONDS = 60 * 10;
public static final String TEN_MIN_IN_SECONDS_STR = TEN_MIN_IN_SECONDS + "";
private static final Logger LOG = LoggerFactory.getLogger(StatsUtil.class);
private static final String HOST = "host";
private static final String PORT = "port";
private static final String NUM_TASKS = "num-tasks";
private static final String NUM_EXECUTORS = "num-executors";
private static final String CAPACITY = "capacity";
private static final String STATS = "stats";
private static final String EXECUTOR_ID = "executor-id";
private static final String LAST_ERROR = "lastError";
private static final String RATE = "rate";
private static final String ACKED = "acked";
private static final String FAILED = "failed";
private static final String EXECUTED = "executed";
private static final String EMITTED = "emitted";
private static final String TRANSFERRED = "transferred";
private static final String EXEC_LATENCIES = "execute-latencies";
private static final String PROC_LATENCIES = "process-latencies";
private static final String COMP_LATENCIES = "complete-latencies";
private static final String EXEC_LATENCY = "execute-latency";
private static final String PROC_LATENCY = "process-latency";
private static final String COMP_LATENCY = "complete-latency";
private static final String EXEC_LAT_TOTAL = "executeLatencyTotal";
private static final String PROC_LAT_TOTAL = "processLatencyTotal";
private static final String COMP_LAT_TOTAL = "completeLatencyTotal";
private static final String WIN_TO_EMITTED = "window->emitted";
private static final String WIN_TO_ACKED = "window->acked";
private static final String WIN_TO_FAILED = "window->failed";
private static final String WIN_TO_EXECUTED = "window->executed";
private static final String WIN_TO_TRANSFERRED = "window->transferred";
private static final String WIN_TO_EXEC_LAT = "window->execute-latency";
private static final String WIN_TO_PROC_LAT = "window->process-latency";
private static final String WIN_TO_COMP_LAT = "window->complete-latency";
private static final String WIN_TO_COMP_LAT_WGT_AVG = "window->comp-lat-wgt-avg";
private static final String WIN_TO_EXEC_LAT_WGT_AVG = "window->exec-lat-wgt-avg";
private static final String WIN_TO_PROC_LAT_WGT_AVG = "window->proc-lat-wgt-avg";
private static final String BOLT_TO_STATS = "bolt-id->stats";
private static final String SPOUT_TO_STATS = "spout-id->stats";
private static final String SID_TO_OUT_STATS = "sid->output-stats";
private static final String CID_SID_TO_IN_STATS = "cid+sid->input-stats";
private static final String WORKERS_SET = "workers-set";
private static final ToStringTransformer TO_STRING = new ToStringTransformer();
private static final FromGlobalStreamIdTransformer FROM_GSID = new FromGlobalStreamIdTransformer();
// =====================================================================================
// aggregation stats methods
// =====================================================================================
/**
* Aggregates number executed, process latency, and execute latency across all streams.
*
* @param id2execAvg { global stream id -> exec avg value }, e.g., {["split" "default"] 0.44313}
* @param id2procAvg { global stream id -> proc avg value }
* @param id2numExec { global stream id -> executed }
*/
public static Map<String, Number> aggBoltLatAndCount(Map<List<String>, Double> id2execAvg,
Map<List<String>, Double> id2procAvg,
Map<List<String>, Long> id2numExec) {
Map<String, Number> ret = new HashMap<>();
((Map) ret).put(EXEC_LAT_TOTAL, weightAvgAndSum(id2execAvg, id2numExec));
((Map) ret).put(PROC_LAT_TOTAL, weightAvgAndSum(id2procAvg, id2numExec));
((Map) ret).put(EXECUTED, sumValues(id2numExec));
return ret;
}
/**
* aggregate number acked and complete latencies across all streams.
*/
public static Map<String, Number> aggSpoutLatAndCount(Map<String, Double> id2compAvg,
Map<String, Long> id2numAcked) {
Map<String, Number> ret = new HashMap<>();
((Map) ret).put(COMP_LAT_TOTAL, weightAvgAndSum(id2compAvg, id2numAcked));
((Map) ret).put(ACKED, sumValues(id2numAcked));
return ret;
}
/**
* aggregate number executed and process & execute latencies.
*/
public static <K> Map<K, Map> aggBoltStreamsLatAndCount(Map<K, Double> id2execAvg,
Map<K, Double> id2procAvg,
Map<K, Long> id2numExec) {
Map<K, Map> ret = new HashMap<>();
if (id2execAvg == null || id2procAvg == null || id2numExec == null) {
return ret;
}
for (K k : id2execAvg.keySet()) {
Map<String, Object> subMap = new HashMap<>();
subMap.put(EXEC_LAT_TOTAL, weightAvg(id2execAvg, id2numExec, k));
subMap.put(PROC_LAT_TOTAL, weightAvg(id2procAvg, id2numExec, k));
subMap.put(EXECUTED, id2numExec.get(k));
ret.put(k, subMap);
}
return ret;
}
/**
* Aggregates number acked and complete latencies.
*/
public static <K> Map<K, Map> aggSpoutStreamsLatAndCount(Map<K, Double> id2compAvg,
Map<K, Long> id2acked) {
Map<K, Map> ret = new HashMap<>();
if (id2compAvg == null || id2acked == null) {
return ret;
}
for (K k : id2compAvg.keySet()) {
Map subMap = new HashMap();
subMap.put(COMP_LAT_TOTAL, weightAvg(id2compAvg, id2acked, k));
subMap.put(ACKED, id2acked.get(k));
ret.put(k, subMap);
}
return ret;
}
/**
* pre-merge component page bolt stats from an executor heartbeat 1. computes component capacity 2. converts map keys of stats 3.
* filters streams if necessary
*
* @param beat executor heartbeat data
* @param window specified window
* @param includeSys whether to include system streams
* @return per-merged stats
*/
public static Map<String, Object> aggPreMergeCompPageBolt(Map<String, Object> beat, String window, boolean includeSys) {
Map<String, Object> ret = new HashMap<>();
ret.put(EXECUTOR_ID, beat.get("exec-id"));
ret.put(HOST, beat.get(HOST));
ret.put(PORT, beat.get(PORT));
ret.put(ClientStatsUtil.UPTIME, beat.get(ClientStatsUtil.UPTIME));
ret.put(NUM_EXECUTORS, 1);
ret.put(NUM_TASKS, beat.get(NUM_TASKS));
Map stat2win2sid2num = ClientStatsUtil.getMapByKey(beat, STATS);
ret.put(CAPACITY, computeAggCapacity(stat2win2sid2num, getByKeyOr0(beat, ClientStatsUtil.UPTIME).intValue()));
// calc cid+sid->input_stats
Map inputStats = new HashMap();
Map sid2acked = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, ACKED), TO_STRING).get(window);
Map sid2failed = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, FAILED), TO_STRING).get(window);
Object v1 = sid2acked != null ? sid2acked : new HashMap();
inputStats.put(ACKED, v1);
Object v = sid2failed != null ? sid2failed : new HashMap();
inputStats.put(FAILED, v);
inputStats = swapMapOrder(inputStats);
Map sid2execLat = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EXEC_LATENCIES), TO_STRING).get(window);
Map sid2procLat = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, PROC_LATENCIES), TO_STRING).get(window);
Map sid2exec = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EXECUTED), TO_STRING).get(window);
mergeMaps(inputStats, aggBoltStreamsLatAndCount(sid2execLat, sid2procLat, sid2exec));
ret.put(CID_SID_TO_IN_STATS, inputStats);
// calc sid->output_stats
Map outputStats = new HashMap();
Map sid2emitted = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EMITTED), TO_STRING).get(window);
Map sid2transferred = (Map) windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, TRANSFERRED), TO_STRING).get(window);
if (sid2emitted != null) {
outputStats.put(EMITTED, filterSysStreams2Stat(sid2emitted, includeSys));
} else {
outputStats.put(EMITTED, new HashMap());
}
if (sid2transferred != null) {
outputStats.put(TRANSFERRED, filterSysStreams2Stat(sid2transferred, includeSys));
} else {
outputStats.put(TRANSFERRED, new HashMap());
}
outputStats = swapMapOrder(outputStats);
ret.put(SID_TO_OUT_STATS, outputStats);
return ret;
}
/**
* pre-merge component page spout stats from an executor heartbeat 1. computes component capacity 2. converts map keys of stats 3.
* filters streams if necessary
*
* @param beat executor heartbeat data
* @param window specified window
* @param includeSys whether to include system streams
* @return per-merged stats
*/
public static Map<String, Object> aggPreMergeCompPageSpout(Map<String, Object> beat, String window, boolean includeSys) {
Map<String, Object> ret = new HashMap<>();
ret.put(EXECUTOR_ID, beat.get("exec-id"));
ret.put(HOST, beat.get(HOST));
ret.put(PORT, beat.get(PORT));
ret.put(ClientStatsUtil.UPTIME, beat.get(ClientStatsUtil.UPTIME));
ret.put(NUM_EXECUTORS, 1);
ret.put(NUM_TASKS, beat.get(NUM_TASKS));
Map stat2win2sid2num = ClientStatsUtil.getMapByKey(beat, STATS);
// calc sid->output-stats
Map outputStats = new HashMap();
Map win2sid2acked = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, ACKED), TO_STRING);
Map win2sid2failed = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, FAILED), TO_STRING);
Map win2sid2emitted = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EMITTED), TO_STRING);
outputStats.put(ACKED, win2sid2acked.get(window));
outputStats.put(FAILED, win2sid2failed.get(window));
Map<String, Long> sid2emitted = (Map) win2sid2emitted.get(window);
if (sid2emitted == null) {
sid2emitted = new HashMap<>();
}
outputStats.put(EMITTED, filterSysStreams2Stat(sid2emitted, includeSys));
Map win2sid2transferred = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, TRANSFERRED), TO_STRING);
Map<String, Long> sid2transferred = (Map) win2sid2transferred.get(window);
if (sid2transferred == null) {
sid2transferred = new HashMap<>();
}
outputStats.put(TRANSFERRED, filterSysStreams2Stat(sid2transferred, includeSys));
outputStats = swapMapOrder(outputStats);
Map win2sid2compLat = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, COMP_LATENCIES), TO_STRING);
Map sid2compLat = (Map) win2sid2compLat.get(window);
Map sid2acked = (Map) win2sid2acked.get(window);
mergeMaps(outputStats, aggSpoutStreamsLatAndCount(sid2compLat, sid2acked));
ret.put(SID_TO_OUT_STATS, outputStats);
return ret;
}
/**
* pre-merge component stats of specified bolt id.
*
* @param beat executor heartbeat data
* @param window specified window
* @param includeSys whether to include system streams
* @return { comp id -> comp-stats }
*/
public static <K, V extends Number> Map<String, Object> aggPreMergeTopoPageBolt(
Map<String, Object> beat, String window, boolean includeSys) {
Map<String, Object> subRet = new HashMap<>();
subRet.put(NUM_EXECUTORS, 1);
subRet.put(NUM_TASKS, beat.get(NUM_TASKS));
Map<String, Object> stat2win2sid2num = ClientStatsUtil.getMapByKey(beat, STATS);
subRet.put(CAPACITY, computeAggCapacity(stat2win2sid2num, getByKeyOr0(beat, ClientStatsUtil.UPTIME).intValue()));
for (String key : new String[]{ EMITTED, TRANSFERRED, ACKED, FAILED }) {
Map<String, Map<K, V>> stat = windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, key), TO_STRING);
if (EMITTED.equals(key) || TRANSFERRED.equals(key)) {
stat = filterSysStreams(stat, includeSys);
}
Map<K, V> winStat = stat.get(window);
long sum = 0;
if (winStat != null) {
for (V v : winStat.values()) {
sum += v.longValue();
}
}
subRet.put(key, sum);
}
Map<String, Map<List<String>, Double>> win2sid2execLat =
windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EXEC_LATENCIES), TO_STRING);
Map<String, Map<List<String>, Double>> win2sid2procLat =
windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, PROC_LATENCIES), TO_STRING);
Map<String, Map<List<String>, Long>> win2sid2exec =
windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, EXECUTED), TO_STRING);
subRet.putAll(aggBoltLatAndCount(
win2sid2execLat.get(window), win2sid2procLat.get(window), win2sid2exec.get(window)));
Map<String, Object> ret = new HashMap<>();
ret.put((String) beat.get("comp-id"), subRet);
return ret;
}
/**
* pre-merge component stats of specified spout id and returns { comp id -> comp-stats }.
*/
public static <K, V extends Number> Map<String, Object> aggPreMergeTopoPageSpout(
Map<String, Object> m, String window, boolean includeSys) {
Map<String, Object> subRet = new HashMap<>();
subRet.put(NUM_EXECUTORS, 1);
subRet.put(NUM_TASKS, m.get(NUM_TASKS));
// no capacity for spout
Map<String, Map<String, Map<String, V>>> stat2win2sid2num = ClientStatsUtil.getMapByKey(m, STATS);
for (String key : new String[]{ EMITTED, TRANSFERRED, FAILED }) {
Map<String, Map<K, V>> stat = windowSetConverter(stat2win2sid2num.get(key), TO_STRING);
if (EMITTED.equals(key) || TRANSFERRED.equals(key)) {
stat = filterSysStreams(stat, includeSys);
}
Map<K, V> winStat = stat.get(window);
long sum = 0;
if (winStat != null) {
for (V v : winStat.values()) {
sum += v.longValue();
}
}
subRet.put(key, sum);
}
Map<String, Map<String, Double>> win2sid2compLat =
windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, COMP_LATENCIES), TO_STRING);
Map<String, Map<String, Long>> win2sid2acked =
windowSetConverter(ClientStatsUtil.getMapByKey(stat2win2sid2num, ACKED), TO_STRING);
subRet.putAll(aggSpoutLatAndCount(win2sid2compLat.get(window), win2sid2acked.get(window)));
Map<String, Object> ret = new HashMap<>();
ret.put((String) m.get("comp-id"), subRet);
return ret;
}
/**
* merge accumulated bolt stats with pre-merged component stats.
*
* @param accBoltStats accumulated bolt stats
* @param boltStats pre-merged component stats
* @return merged stats
*/
public static Map<String, Object> mergeAggCompStatsCompPageBolt(
Map<String, Object> accBoltStats, Map<String, Object> boltStats) {
Map<String, Object> ret = new HashMap<>();
Map<List<String>, Map<String, ?>> accIn = ClientStatsUtil.getMapByKey(accBoltStats, CID_SID_TO_IN_STATS);
Map<String, Map<String, ?>> accOut = ClientStatsUtil.getMapByKey(accBoltStats, SID_TO_OUT_STATS);
Map<List<String>, Map<String, ?>> boltIn = ClientStatsUtil.getMapByKey(boltStats, CID_SID_TO_IN_STATS);
Map<String, Map<String, ?>> boltOut = ClientStatsUtil.getMapByKey(boltStats, SID_TO_OUT_STATS);
int numExecutors = getByKeyOr0(accBoltStats, NUM_EXECUTORS).intValue();
ret.put(NUM_EXECUTORS, numExecutors + 1);
ret.put(NUM_TASKS, sumOr0(
getByKeyOr0(accBoltStats, NUM_TASKS), getByKeyOr0(boltStats, NUM_TASKS)));
// (merge-with (partial merge-with sum-or-0) acc-out spout-out)
ret.put(SID_TO_OUT_STATS, fullMergeWithSum(accOut, boltOut));
// {component id -> metric -> value}, note that input may contain both long and double values
ret.put(CID_SID_TO_IN_STATS, fullMergeWithSum(accIn, boltIn));
long executed = sumStreamsLong(boltIn, EXECUTED);
ret.put(EXECUTED, executed);
Map<String, Object> executorStats = new HashMap<>();
executorStats.put(EXECUTOR_ID, boltStats.get(EXECUTOR_ID));
executorStats.put(ClientStatsUtil.UPTIME, boltStats.get(ClientStatsUtil.UPTIME));
executorStats.put(HOST, boltStats.get(HOST));
executorStats.put(PORT, boltStats.get(PORT));
executorStats.put(CAPACITY, boltStats.get(CAPACITY));
executorStats.put(EMITTED, sumStreamsLong(boltOut, EMITTED));
executorStats.put(TRANSFERRED, sumStreamsLong(boltOut, TRANSFERRED));
executorStats.put(ACKED, sumStreamsLong(boltIn, ACKED));
executorStats.put(FAILED, sumStreamsLong(boltIn, FAILED));
executorStats.put(EXECUTED, executed);
if (executed > 0) {
executorStats.put(EXEC_LATENCY, sumStreamsDouble(boltIn, EXEC_LAT_TOTAL) / executed);
executorStats.put(PROC_LATENCY, sumStreamsDouble(boltIn, PROC_LAT_TOTAL) / executed);
} else {
executorStats.put(EXEC_LATENCY, null);
executorStats.put(PROC_LATENCY, null);
}
List executorStatsList = ((List) accBoltStats.get(ClientStatsUtil.EXECUTOR_STATS));
executorStatsList.add(executorStats);
ret.put(ClientStatsUtil.EXECUTOR_STATS, executorStatsList);
return ret;
}
/**
* merge accumulated bolt stats with pre-merged component stats.
*/
public static Map<String, Object> mergeAggCompStatsCompPageSpout(
Map<String, Object> accSpoutStats, Map<String, Object> spoutStats) {
Map<String, Object> ret = new HashMap<>();
// {stream id -> metric -> value}, note that sid->out-stats may contain both long and double values
Map<String, Map<String, ?>> accOut = ClientStatsUtil.getMapByKey(accSpoutStats, SID_TO_OUT_STATS);
Map<String, Map<String, ?>> spoutOut = ClientStatsUtil.getMapByKey(spoutStats, SID_TO_OUT_STATS);
int numExecutors = getByKeyOr0(accSpoutStats, NUM_EXECUTORS).intValue();
ret.put(NUM_EXECUTORS, numExecutors + 1);
ret.put(NUM_TASKS, sumOr0(
getByKeyOr0(accSpoutStats, NUM_TASKS), getByKeyOr0(spoutStats, NUM_TASKS)));
ret.put(SID_TO_OUT_STATS, fullMergeWithSum(accOut, spoutOut));
Map executorStats = new HashMap();
executorStats.put(EXECUTOR_ID, spoutStats.get(EXECUTOR_ID));
executorStats.put(ClientStatsUtil.UPTIME, spoutStats.get(ClientStatsUtil.UPTIME));
executorStats.put(HOST, spoutStats.get(HOST));
executorStats.put(PORT, spoutStats.get(PORT));
executorStats.put(EMITTED, sumStreamsLong(spoutOut, EMITTED));
executorStats.put(TRANSFERRED, sumStreamsLong(spoutOut, TRANSFERRED));
executorStats.put(FAILED, sumStreamsLong(spoutOut, FAILED));
long acked = sumStreamsLong(spoutOut, ACKED);
executorStats.put(ACKED, acked);
if (acked > 0) {
executorStats.put(COMP_LATENCY, sumStreamsDouble(spoutOut, COMP_LAT_TOTAL) / acked);
} else {
executorStats.put(COMP_LATENCY, null);
}
List executorStatsList = ((List) accSpoutStats.get(ClientStatsUtil.EXECUTOR_STATS));
executorStatsList.add(executorStats);
ret.put(ClientStatsUtil.EXECUTOR_STATS, executorStatsList);
return ret;
}
/**
* merge accumulated bolt stats with new bolt stats.
*
* @param accBoltStats accumulated bolt stats
* @param boltStats new input bolt stats
* @return merged bolt stats
*/
public static Map<String, Object> mergeAggCompStatsTopoPageBolt(Map<String, Object> accBoltStats,
Map<String, Object> boltStats) {
Map<String, Object> ret = new HashMap<>();
Integer numExecutors = getByKeyOr0(accBoltStats, NUM_EXECUTORS).intValue();
ret.put(NUM_EXECUTORS, numExecutors + 1);
ret.put(NUM_TASKS, sumOr0(getByKeyOr0(accBoltStats, NUM_TASKS), getByKeyOr0(boltStats, NUM_TASKS)));
ret.put(EMITTED, sumOr0(getByKeyOr0(accBoltStats, EMITTED), getByKeyOr0(boltStats, EMITTED)));
ret.put(TRANSFERRED, sumOr0(getByKeyOr0(accBoltStats, TRANSFERRED), getByKeyOr0(boltStats, TRANSFERRED)));
ret.put(EXEC_LAT_TOTAL, sumOr0(getByKeyOr0(accBoltStats, EXEC_LAT_TOTAL), getByKeyOr0(boltStats, EXEC_LAT_TOTAL)));
ret.put(PROC_LAT_TOTAL, sumOr0(getByKeyOr0(accBoltStats, PROC_LAT_TOTAL), getByKeyOr0(boltStats, PROC_LAT_TOTAL)));
ret.put(EXECUTED, sumOr0(getByKeyOr0(accBoltStats, EXECUTED), getByKeyOr0(boltStats, EXECUTED)));
ret.put(ACKED, sumOr0(getByKeyOr0(accBoltStats, ACKED), getByKeyOr0(boltStats, ACKED)));
ret.put(FAILED, sumOr0(getByKeyOr0(accBoltStats, FAILED), getByKeyOr0(boltStats, FAILED)));
ret.put(CAPACITY, maxOr0(getByKeyOr0(accBoltStats, CAPACITY), getByKeyOr0(boltStats, CAPACITY)));
return ret;
}
/**
* merge accumulated bolt stats with new bolt stats.
*/
public static Map<String, Object> mergeAggCompStatsTopoPageSpout(Map<String, Object> accSpoutStats,
Map<String, Object> spoutStats) {
Map<String, Object> ret = new HashMap<>();
Integer numExecutors = getByKeyOr0(accSpoutStats, NUM_EXECUTORS).intValue();
ret.put(NUM_EXECUTORS, numExecutors + 1);
ret.put(NUM_TASKS, sumOr0(getByKeyOr0(accSpoutStats, NUM_TASKS), getByKeyOr0(spoutStats, NUM_TASKS)));
ret.put(EMITTED, sumOr0(getByKeyOr0(accSpoutStats, EMITTED), getByKeyOr0(spoutStats, EMITTED)));
ret.put(TRANSFERRED, sumOr0(getByKeyOr0(accSpoutStats, TRANSFERRED), getByKeyOr0(spoutStats, TRANSFERRED)));
ret.put(COMP_LAT_TOTAL, sumOr0(getByKeyOr0(accSpoutStats, COMP_LAT_TOTAL), getByKeyOr0(spoutStats, COMP_LAT_TOTAL)));
ret.put(ACKED, sumOr0(getByKeyOr0(accSpoutStats, ACKED), getByKeyOr0(spoutStats, ACKED)));
ret.put(FAILED, sumOr0(getByKeyOr0(accSpoutStats, FAILED), getByKeyOr0(spoutStats, FAILED)));
return ret;
}
/**
* A helper function that does the common work to aggregate stats of one executor with the given map for the topology page.
*/
public static Map<String, Object> aggTopoExecStats(
String window, boolean includeSys, Map<String, Object> accStats, Map<String, Object> beat, String compType) {
boolean isSpout = compType.equals(ClientStatsUtil.SPOUT);
// component id -> stats
Map<String, Object> cid2stats;
if (isSpout) {
cid2stats = aggPreMergeTopoPageSpout(beat, window, includeSys);
} else {
cid2stats = aggPreMergeTopoPageBolt(beat, window, includeSys);
}
Map stats = ClientStatsUtil.getMapByKey(beat, STATS);
Map w2compLatWgtAvg;
Map w2acked;
Map compLatStats = ClientStatsUtil.getMapByKey(stats, COMP_LATENCIES);
if (isSpout) { // agg spout stats
Map mm = new HashMap();
Map acked = ClientStatsUtil.getMapByKey(stats, ACKED);
for (Object win : acked.keySet()) {
mm.put(win, aggSpoutLatAndCount((Map) compLatStats.get(win), (Map) acked.get(win)));
}
mm = swapMapOrder(mm);
w2compLatWgtAvg = ClientStatsUtil.getMapByKey(mm, COMP_LAT_TOTAL);
w2acked = ClientStatsUtil.getMapByKey(mm, ACKED);
} else {
w2compLatWgtAvg = null;
w2acked = aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, ACKED));
}
Map<String, Object> ret = new HashMap<>();
Set workerSet = (Set) accStats.get(WORKERS_SET);
workerSet.add(Lists.newArrayList(beat.get(HOST), beat.get(PORT)));
ret.put(WORKERS_SET, workerSet);
Map bolt2stats = ClientStatsUtil.getMapByKey(accStats, BOLT_TO_STATS);
ret.put(BOLT_TO_STATS, bolt2stats);
Map spout2stats = ClientStatsUtil.getMapByKey(accStats, SPOUT_TO_STATS);
ret.put(SPOUT_TO_STATS, spout2stats);
Map win2emitted = ClientStatsUtil.getMapByKey(accStats, WIN_TO_EMITTED);
ret.put(WIN_TO_EMITTED, mergeWithSumLong(win2emitted, aggregateCountStreams(
filterSysStreams(ClientStatsUtil.getMapByKey(stats, EMITTED), includeSys))));
Map win2transferred = ClientStatsUtil.getMapByKey(accStats, WIN_TO_TRANSFERRED);
ret.put(WIN_TO_TRANSFERRED, mergeWithSumLong(win2transferred, aggregateCountStreams(
filterSysStreams(ClientStatsUtil.getMapByKey(stats, TRANSFERRED), includeSys))));
Map win2compLatWgtAvg = ClientStatsUtil.getMapByKey(accStats, WIN_TO_COMP_LAT_WGT_AVG);
ret.put(WIN_TO_COMP_LAT_WGT_AVG, mergeWithSumDouble(win2compLatWgtAvg, w2compLatWgtAvg));
Map win2acked = ClientStatsUtil.getMapByKey(accStats, WIN_TO_ACKED);
Object v1 = isSpout ? mergeWithSumLong(win2acked, w2acked) : win2acked;
ret.put(WIN_TO_ACKED, v1);
Map win2failed = ClientStatsUtil.getMapByKey(accStats, WIN_TO_FAILED);
Object v = isSpout
? mergeWithSumLong(aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, FAILED)), win2failed) : win2failed;
ret.put(WIN_TO_FAILED, v);
ret.put(TYPE, stats.get(TYPE));
// (merge-with merge-agg-comp-stats-topo-page-bolt/spout (acc-stats comp-key) cid->statk->num)
// (acc-stats comp-key) ==> bolt2stats/spout2stats
if (isSpout) {
for (String spout : cid2stats.keySet()) {
spout2stats.put(spout, mergeAggCompStatsTopoPageSpout((Map) spout2stats.get(spout), (Map) cid2stats.get(spout)));
}
} else {
for (String bolt : cid2stats.keySet()) {
bolt2stats.put(bolt, mergeAggCompStatsTopoPageBolt((Map) bolt2stats.get(bolt), (Map) cid2stats.get(bolt)));
}
}
return ret;
}
/**
* aggregate topo executors stats.
*
* @param topologyId topology id
* @param exec2nodePort executor -> host+port
* @param task2component task -> component
* @param beats executor[start, end] -> executor heartbeat
* @param topology storm topology
* @param window the window to be aggregated
* @param includeSys whether to include system streams
* @param clusterState cluster state
* @return TopologyPageInfo thrift structure
*/
public static TopologyPageInfo aggTopoExecsStats(
String topologyId, Map exec2nodePort, Map task2component, Map<List<Integer>, Map<String, Object>> beats,
StormTopology topology, String window, boolean includeSys, IStormClusterState clusterState) {
List<Map<String, Object>> beatList = extractDataFromHb(exec2nodePort, task2component, beats, includeSys, topology);
Map<String, Object> topoStats = aggregateTopoStats(window, includeSys, beatList);
return postAggregateTopoStats(task2component, exec2nodePort, topoStats, topologyId, clusterState);
}
private static Map<String, Object> aggregateTopoStats(String win, boolean includeSys, List<Map<String, Object>> heartbeats) {
Map<String, Object> initVal = new HashMap<>();
initVal.put(WORKERS_SET, new HashSet());
initVal.put(BOLT_TO_STATS, new HashMap());
initVal.put(SPOUT_TO_STATS, new HashMap());
initVal.put(WIN_TO_EMITTED, new HashMap());
initVal.put(WIN_TO_TRANSFERRED, new HashMap());
initVal.put(WIN_TO_COMP_LAT_WGT_AVG, new HashMap());
initVal.put(WIN_TO_ACKED, new HashMap());
initVal.put(WIN_TO_FAILED, new HashMap());
for (Map<String, Object> heartbeat : heartbeats) {
String compType = (String) heartbeat.get(TYPE);
initVal = aggTopoExecStats(win, includeSys, initVal, heartbeat, compType);
}
return initVal;
}
private static TopologyPageInfo postAggregateTopoStats(Map task2comp, Map exec2nodePort, Map<String, Object> accData,
String topologyId, IStormClusterState clusterState) {
TopologyPageInfo ret = new TopologyPageInfo(topologyId);
ret.set_num_tasks(task2comp.size());
ret.set_num_workers(((Set) accData.get(WORKERS_SET)).size());
ret.set_num_executors(exec2nodePort != null ? exec2nodePort.size() : 0);
Map bolt2stats = ClientStatsUtil.getMapByKey(accData, BOLT_TO_STATS);
Map<String, ComponentAggregateStats> aggBolt2stats = new HashMap<>();
for (Object o : bolt2stats.entrySet()) {
Map.Entry e = (Map.Entry) o;
Map m = (Map) e.getValue();
long executed = getByKeyOr0(m, EXECUTED).longValue();
if (executed > 0) {
double execLatencyTotal = getByKeyOr0(m, EXEC_LAT_TOTAL).doubleValue();
m.put(EXEC_LATENCY, execLatencyTotal / executed);
double procLatencyTotal = getByKeyOr0(m, PROC_LAT_TOTAL).doubleValue();
m.put(PROC_LATENCY, procLatencyTotal / executed);
}
m.remove(EXEC_LAT_TOTAL);
m.remove(PROC_LAT_TOTAL);
String id = (String) e.getKey();
m.put("last-error", getLastError(clusterState, topologyId, id));
aggBolt2stats.put(id, thriftifyBoltAggStats(m));
}
Map spout2stats = ClientStatsUtil.getMapByKey(accData, SPOUT_TO_STATS);
Map<String, ComponentAggregateStats> aggSpout2stats = new HashMap<>();
for (Object o : spout2stats.entrySet()) {
Map.Entry e = (Map.Entry) o;
String id = (String) e.getKey();
Map m = (Map) e.getValue();
long acked = getByKeyOr0(m, ACKED).longValue();
if (acked > 0) {
double compLatencyTotal = getByKeyOr0(m, COMP_LAT_TOTAL).doubleValue();
m.put(COMP_LATENCY, compLatencyTotal / acked);
}
m.remove(COMP_LAT_TOTAL);
m.put("last-error", getLastError(clusterState, topologyId, id));
aggSpout2stats.put(id, thriftifySpoutAggStats(m));
}
TopologyStats topologyStats = new TopologyStats();
topologyStats.set_window_to_acked(mapKeyStr(ClientStatsUtil.getMapByKey(accData, WIN_TO_ACKED)));
topologyStats.set_window_to_emitted(mapKeyStr(ClientStatsUtil.getMapByKey(accData, WIN_TO_EMITTED)));
topologyStats.set_window_to_failed(mapKeyStr(ClientStatsUtil.getMapByKey(accData, WIN_TO_FAILED)));
topologyStats.set_window_to_transferred(mapKeyStr(ClientStatsUtil.getMapByKey(accData, WIN_TO_TRANSFERRED)));
topologyStats.set_window_to_complete_latencies_ms(computeWeightedAveragesPerWindow(
accData, WIN_TO_COMP_LAT_WGT_AVG, WIN_TO_ACKED));
ret.set_topology_stats(topologyStats);
ret.set_id_to_spout_agg_stats(aggSpout2stats);
ret.set_id_to_bolt_agg_stats(aggBolt2stats);
return ret;
}
/**
* aggregate bolt stats.
*
* @param statsSeq a seq of ExecutorStats
* @param includeSys whether to include system streams
* @return aggregated bolt stats: {metric -> win -> global stream id -> value}
*/
public static <T> Map<String, Map> aggregateBoltStats(List<ExecutorSummary> statsSeq, boolean includeSys) {
Map<String, Map> ret = new HashMap<>();
Map<String, Map<String, Map<T, Long>>> commonStats = aggregateCommonStats(statsSeq);
// filter sys streams if necessary
commonStats = preProcessStreamSummary(commonStats, includeSys);
List<Map<String, Map<GlobalStreamId, Long>>> acked = new ArrayList<>();
List<Map<String, Map<GlobalStreamId, Long>>> failed = new ArrayList<>();
List<Map<String, Map<GlobalStreamId, Long>>> executed = new ArrayList<>();
List<Map<String, Map<GlobalStreamId, Double>>> processLatencies = new ArrayList<>();
List<Map<String, Map<GlobalStreamId, Double>>> executeLatencies = new ArrayList<>();
for (ExecutorSummary summary : statsSeq) {
ExecutorStats stat = summary.get_stats();
acked.add(stat.get_specific().get_bolt().get_acked());
failed.add(stat.get_specific().get_bolt().get_failed());
executed.add(stat.get_specific().get_bolt().get_executed());
processLatencies.add(stat.get_specific().get_bolt().get_process_ms_avg());
executeLatencies.add(stat.get_specific().get_bolt().get_execute_ms_avg());
}
mergeMaps(ret, commonStats);
((Map) ret).put(ACKED, aggregateCounts(acked));
((Map) ret).put(FAILED, aggregateCounts(failed));
((Map) ret).put(EXECUTED, aggregateCounts(executed));
((Map) ret).put(PROC_LATENCIES, aggregateAverages(processLatencies, acked));
((Map) ret).put(EXEC_LATENCIES, aggregateAverages(executeLatencies, executed));
return ret;
}
/**
* aggregate spout stats.
*
* @param statsSeq a seq of ExecutorStats
* @param includeSys whether to include system streams
* @return aggregated spout stats: {metric -> win -> global stream id -> value}
*/
public static Map<String, Map> aggregateSpoutStats(List<ExecutorSummary> statsSeq, boolean includeSys) {
// actually Map<String, Map<String, Map<String, Long/Double>>>
Map<String, Map> ret = new HashMap<>();
Map<String, Map<String, Map<String, Long>>> commonStats = aggregateCommonStats(statsSeq);
// filter sys streams if necessary
commonStats = preProcessStreamSummary(commonStats, includeSys);
List<Map<String, Map<String, Long>>> acked = new ArrayList<>();
List<Map<String, Map<String, Long>>> failed = new ArrayList<>();
List<Map<String, Map<String, Double>>> completeLatencies = new ArrayList<>();
for (ExecutorSummary summary : statsSeq) {
ExecutorStats stats = summary.get_stats();
acked.add(stats.get_specific().get_spout().get_acked());
failed.add(stats.get_specific().get_spout().get_failed());
completeLatencies.add(stats.get_specific().get_spout().get_complete_ms_avg());
}
ret.putAll(commonStats);
((Map) ret).put(ACKED, aggregateCounts(acked));
((Map) ret).put(FAILED, aggregateCounts(failed));
((Map) ret).put(COMP_LATENCIES, aggregateAverages(completeLatencies, acked));
return ret;
}
/**
* aggregate common stats from a spout/bolt, called in aggregateSpoutStats/aggregateBoltStats.
*/
public static <T> Map<String, Map<String, Map<T, Long>>> aggregateCommonStats(List<ExecutorSummary> statsSeq) {
Map<String, Map<String, Map<T, Long>>> ret = new HashMap<>();
List<Map<String, Map<String, Long>>> emitted = new ArrayList<>();
List<Map<String, Map<String, Long>>> transferred = new ArrayList<>();
for (ExecutorSummary summ : statsSeq) {
emitted.add(summ.get_stats().get_emitted());
transferred.add(summ.get_stats().get_transferred());
}
((Map) ret).put(EMITTED, aggregateCounts(emitted));
((Map) ret).put(TRANSFERRED, aggregateCounts(transferred));
return ret;
}
/**
* filter system streams of aggregated spout/bolt stats if necessary.
*/
public static <T> Map<String, Map<String, Map<T, Long>>> preProcessStreamSummary(
Map<String, Map<String, Map<T, Long>>> streamSummary, boolean includeSys) {
Map<String, Map<T, Long>> emitted = ClientStatsUtil.getMapByKey(streamSummary, EMITTED);
Map<String, Map<T, Long>> transferred = ClientStatsUtil.getMapByKey(streamSummary, TRANSFERRED);
((Map) streamSummary).put(EMITTED, filterSysStreams(emitted, includeSys));
((Map) streamSummary).put(TRANSFERRED, filterSysStreams(transferred, includeSys));
return streamSummary;
}
/**
* aggregate count streams by window.
*
* @param stats a Map of value: {win -> stream -> value}
* @return a Map of value: {win -> value}
*/
public static <K, V extends Number> Map<String, Long> aggregateCountStreams(
Map<String, Map<K, V>> stats) {
Map<String, Long> ret = new HashMap<>();
for (Map.Entry<String, Map<K, V>> entry : stats.entrySet()) {
Map<K, V> value = entry.getValue();
long sum = 0L;
for (V num : value.values()) {
sum += num.longValue();
}
ret.put(entry.getKey(), sum);
}
return ret;
}
/**
* compute an weighted average from a list of average maps and a corresponding count maps extracted from a list of ExecutorSummary.
*
* @param avgSeq a list of {win -> global stream id -> avg value}
* @param countSeq a list of {win -> global stream id -> count value}
* @return a Map of {win -> global stream id -> weighted avg value}
*/
public static <K> Map<String, Map<K, Double>> aggregateAverages(List<Map<String, Map<K, Double>>> avgSeq,
List<Map<String, Map<K, Long>>> countSeq) {
Map<String, Map<K, Double>> ret = new HashMap<>();
Map<String, Map<K, List>> expands = expandAveragesSeq(avgSeq, countSeq);
if (expands == null) {
return ret;
}
for (Map.Entry<String, Map<K, List>> entry : expands.entrySet()) {
String k = entry.getKey();
Map<K, Double> tmp = new HashMap<>();
Map<K, List> inner = entry.getValue();
for (K kk : inner.keySet()) {
List vv = inner.get(kk);
tmp.put(kk, valAvg(((Number) vv.get(0)).doubleValue(), ((Number) vv.get(1)).longValue()));
}
ret.put(k, tmp);
}
return ret;
}
/**
* aggregate weighted average of all streams.
*
* @param avgs a Map of {win -> stream -> average value}
* @param counts a Map of {win -> stream -> count value}
* @return a Map of {win -> aggregated value}
*/
public static <K> Map<String, Double> aggregateAvgStreams(Map<String, Map<K, Double>> avgs,
Map<String, Map<K, Long>> counts) {
Map<String, Double> ret = new HashMap<>();
Map<String, Map<K, List>> expands = expandAverages(avgs, counts);
for (Map.Entry<String, Map<K, List>> entry : expands.entrySet()) {
String win = entry.getKey();
double avgTotal = 0.0;
long cntTotal = 0L;
Map<K, List> inner = entry.getValue();
for (K kk : inner.keySet()) {
List vv = inner.get(kk);
avgTotal += ((Number) vv.get(0)).doubleValue();
cntTotal += ((Number) vv.get(1)).longValue();
}
ret.put(win, valAvg(avgTotal, cntTotal));
}
return ret;
}
/**
* aggregates spout stream stats, returns a Map of {metric -> win -> aggregated value}.
*/
public static Map<String, Map> spoutStreamsStats(List<ExecutorSummary> summs, boolean includeSys) {
if (summs == null) {
return new HashMap<>();
}
// filter ExecutorSummary's with empty stats
List<ExecutorSummary> statsSeq = getFilledStats(summs);
return aggregateSpoutStreams(aggregateSpoutStats(statsSeq, includeSys));
}
/**
* aggregates bolt stream stats, returns a Map of {metric -> win -> aggregated value}.
*/
public static Map<String, Map> boltStreamsStats(List<ExecutorSummary> summs, boolean includeSys) {
if (summs == null) {
return new HashMap<>();
}
List<ExecutorSummary> statsSeq = getFilledStats(summs);
return aggregateBoltStreams(aggregateBoltStats(statsSeq, includeSys));
}
/**
* aggregate all spout streams.
*
* @param stats a Map of {metric -> win -> stream id -> value}
* @return a Map of {metric -> win -> aggregated value}
*/
public static Map<String, Map> aggregateSpoutStreams(Map<String, Map> stats) {
// actual ret is Map<String, Map<String, Long/Double>>
Map<String, Map> ret = new HashMap<>();
((Map) ret).put(ACKED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, ACKED)));
((Map) ret).put(FAILED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, FAILED)));
((Map) ret).put(EMITTED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, EMITTED)));
((Map) ret).put(TRANSFERRED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, TRANSFERRED)));
((Map) ret).put(COMP_LATENCIES, aggregateAvgStreams(
ClientStatsUtil.getMapByKey(stats, COMP_LATENCIES), ClientStatsUtil.getMapByKey(stats, ACKED)));
return ret;
}
/**
* aggregate all bolt streams.
*
* @param stats a Map of {metric -> win -> stream id -> value}
* @return a Map of {metric -> win -> aggregated value}
*/
public static Map<String, Map> aggregateBoltStreams(Map<String, Map> stats) {
Map<String, Map> ret = new HashMap<>();
((Map) ret).put(ACKED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, ACKED)));
((Map) ret).put(FAILED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, FAILED)));
((Map) ret).put(EMITTED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, EMITTED)));
((Map) ret).put(TRANSFERRED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, TRANSFERRED)));
((Map) ret).put(EXECUTED, aggregateCountStreams(ClientStatsUtil.getMapByKey(stats, EXECUTED)));
((Map) ret).put(PROC_LATENCIES, aggregateAvgStreams(
ClientStatsUtil.getMapByKey(stats, PROC_LATENCIES), ClientStatsUtil.getMapByKey(stats, ACKED)));
((Map) ret).put(EXEC_LATENCIES, aggregateAvgStreams(
ClientStatsUtil.getMapByKey(stats, EXEC_LATENCIES), ClientStatsUtil.getMapByKey(stats, EXECUTED)));
return ret;
}
/**
* aggregate windowed stats from a bolt executor stats with a Map of accumulated stats.
*/
public static Map<String, Object> aggBoltExecWinStats(
Map<String, Object> accStats, Map<String, Object> newStats, boolean includeSys) {
Map<String, Object> ret = new HashMap<>();
Map<String, Map<String, Number>> m = new HashMap<>();
for (Object win : ClientStatsUtil.getMapByKey(newStats, EXECUTED).keySet()) {
m.put((String) win, aggBoltLatAndCount(
(Map) (ClientStatsUtil.getMapByKey(newStats, EXEC_LATENCIES)).get(win),
(Map) (ClientStatsUtil.getMapByKey(newStats, PROC_LATENCIES)).get(win),
(Map) (ClientStatsUtil.getMapByKey(newStats, EXECUTED)).get(win)));
}
m = swapMapOrder(m);
Map<String, Double> win2execLatWgtAvg = ClientStatsUtil.getMapByKey(m, EXEC_LAT_TOTAL);
Map<String, Double> win2procLatWgtAvg = ClientStatsUtil.getMapByKey(m, PROC_LAT_TOTAL);
Map<String, Long> win2executed = ClientStatsUtil.getMapByKey(m, EXECUTED);
Map<String, Map<String, Long>> emitted = ClientStatsUtil.getMapByKey(newStats, EMITTED);
Map<String, Long> win2emitted = mergeWithSumLong(aggregateCountStreams(filterSysStreams(emitted, includeSys)),
ClientStatsUtil.getMapByKey(accStats, WIN_TO_EMITTED));
ret.put(WIN_TO_EMITTED, win2emitted);
Map<String, Map<String, Long>> transferred = ClientStatsUtil.getMapByKey(newStats, TRANSFERRED);
Map<String, Long> win2transferred = mergeWithSumLong(aggregateCountStreams(filterSysStreams(transferred, includeSys)),
ClientStatsUtil.getMapByKey(accStats, WIN_TO_TRANSFERRED));
ret.put(WIN_TO_TRANSFERRED, win2transferred);
ret.put(WIN_TO_EXEC_LAT_WGT_AVG, mergeWithSumDouble(
ClientStatsUtil.getMapByKey(accStats, WIN_TO_EXEC_LAT_WGT_AVG), win2execLatWgtAvg));
ret.put(WIN_TO_PROC_LAT_WGT_AVG, mergeWithSumDouble(
ClientStatsUtil.getMapByKey(accStats, WIN_TO_PROC_LAT_WGT_AVG), win2procLatWgtAvg));
ret.put(WIN_TO_EXECUTED, mergeWithSumLong(
ClientStatsUtil.getMapByKey(accStats, WIN_TO_EXECUTED), win2executed));
ret.put(WIN_TO_ACKED, mergeWithSumLong(
aggregateCountStreams(ClientStatsUtil.getMapByKey(newStats, ACKED)), ClientStatsUtil.getMapByKey(accStats, WIN_TO_ACKED)));
ret.put(WIN_TO_FAILED, mergeWithSumLong(
aggregateCountStreams(ClientStatsUtil.getMapByKey(newStats, FAILED)), ClientStatsUtil.getMapByKey(accStats, WIN_TO_FAILED)));
return ret;
}
/**
* aggregate windowed stats from a spout executor stats with a Map of accumulated stats.
*/
public static Map<String, Object> aggSpoutExecWinStats(
Map<String, Object> accStats, Map<String, Object> beat, boolean includeSys) {
Map<String, Object> ret = new HashMap<>();
Map<String, Map<String, Number>> m = new HashMap<>();
for (Object win : ClientStatsUtil.getMapByKey(beat, ACKED).keySet()) {
m.put((String) win, aggSpoutLatAndCount(
(Map<String, Double>) (ClientStatsUtil.getMapByKey(beat, COMP_LATENCIES)).get(win),
(Map<String, Long>) (ClientStatsUtil.getMapByKey(beat, ACKED)).get(win)));
}
m = swapMapOrder(m);
Map<String, Double> win2compLatWgtAvg = ClientStatsUtil.getMapByKey(m, COMP_LAT_TOTAL);
Map<String, Long> win2acked = ClientStatsUtil.getMapByKey(m, ACKED);
Map<String, Map<String, Long>> emitted = ClientStatsUtil.getMapByKey(beat, EMITTED);
Map<String, Long> win2emitted = mergeWithSumLong(aggregateCountStreams(filterSysStreams(emitted, includeSys)),
ClientStatsUtil.getMapByKey(accStats, WIN_TO_EMITTED));
ret.put(WIN_TO_EMITTED, win2emitted);
Map<String, Map<String, Long>> transferred = ClientStatsUtil.getMapByKey(beat, TRANSFERRED);
Map<String, Long> win2transferred = mergeWithSumLong(aggregateCountStreams(filterSysStreams(transferred, includeSys)),
ClientStatsUtil.getMapByKey(accStats, WIN_TO_TRANSFERRED));
ret.put(WIN_TO_TRANSFERRED, win2transferred);
ret.put(WIN_TO_COMP_LAT_WGT_AVG, mergeWithSumDouble(
ClientStatsUtil.getMapByKey(accStats, WIN_TO_COMP_LAT_WGT_AVG), win2compLatWgtAvg));
ret.put(WIN_TO_ACKED, mergeWithSumLong(
ClientStatsUtil.getMapByKey(accStats, WIN_TO_ACKED), win2acked));
ret.put(WIN_TO_FAILED, mergeWithSumLong(
aggregateCountStreams(ClientStatsUtil.getMapByKey(beat, FAILED)), ClientStatsUtil.getMapByKey(accStats, WIN_TO_FAILED)));
return ret;
}
/**
* aggregate a list of count maps into one map.
*
* @param countsSeq a seq of {win -> GlobalStreamId -> value}
*/
public static <T> Map<String, Map<T, Long>> aggregateCounts(List<Map<String, Map<T, Long>>> countsSeq) {
Map<String, Map<T, Long>> ret = new HashMap<>();
for (Map<String, Map<T, Long>> counts : countsSeq) {
for (Map.Entry<String, Map<T, Long>> entry : counts.entrySet()) {
String win = entry.getKey();
Map<T, Long> stream2count = entry.getValue();
if (!ret.containsKey(win)) {
ret.put(win, stream2count);
} else {
Map<T, Long> existing = ret.get(win);
for (Map.Entry<T, Long> subEntry : stream2count.entrySet()) {
T stream = subEntry.getKey();
if (!existing.containsKey(stream)) {
existing.put(stream, subEntry.getValue());
} else {
existing.put(stream, subEntry.getValue() + existing.get(stream));
}
}
}
}
}
return ret;
}
/**
* Aggregate the stats for a component over a given window of time.
*/
public static Map<String, Object> aggregateCompStats(
String window, boolean includeSys, List<Map<String, Object>> beats, String compType) {
Map<String, Object> initVal = new HashMap<>();
initVal.put(WIN_TO_ACKED, new HashMap());
initVal.put(WIN_TO_FAILED, new HashMap());
initVal.put(WIN_TO_EMITTED, new HashMap());
initVal.put(WIN_TO_TRANSFERRED, new HashMap());
Map<String, Object> stats = new HashMap();
stats.put(ClientStatsUtil.EXECUTOR_STATS, new ArrayList());
stats.put(SID_TO_OUT_STATS, new HashMap());
boolean isSpout = ClientStatsUtil.SPOUT.equals(compType);
if (isSpout) {
initVal.put(TYPE, ClientStatsUtil.SPOUT);
initVal.put(WIN_TO_COMP_LAT_WGT_AVG, new HashMap());
} else {
initVal.put(TYPE, ClientStatsUtil.BOLT);
initVal.put(WIN_TO_EXECUTED, new HashMap());
stats.put(CID_SID_TO_IN_STATS, new HashMap());
initVal.put(WIN_TO_EXEC_LAT_WGT_AVG, new HashMap());
initVal.put(WIN_TO_PROC_LAT_WGT_AVG, new HashMap());
}
initVal.put(STATS, stats);
// iterate through all executor heartbeats
for (Map<String, Object> beat : beats) {
initVal = aggCompExecStats(window, includeSys, initVal, beat, compType);
}
return initVal;
}
/**
* Combines the aggregate stats of one executor with the given map, selecting the appropriate window and including system components as
* specified.
*/
public static Map<String, Object> aggCompExecStats(String window, boolean includeSys, Map<String, Object> accStats,
Map<String, Object> beat, String compType) {
Map<String, Object> ret = new HashMap<>();
if (ClientStatsUtil.SPOUT.equals(compType)) {
ret.putAll(aggSpoutExecWinStats(accStats, ClientStatsUtil.getMapByKey(beat, STATS), includeSys));
ret.put(STATS, mergeAggCompStatsCompPageSpout(
ClientStatsUtil.getMapByKey(accStats, STATS),
aggPreMergeCompPageSpout(beat, window, includeSys)));
} else {
ret.putAll(aggBoltExecWinStats(accStats, ClientStatsUtil.getMapByKey(beat, STATS), includeSys));
ret.put(STATS, mergeAggCompStatsCompPageBolt(
ClientStatsUtil.getMapByKey(accStats, STATS),
aggPreMergeCompPageBolt(beat, window, includeSys)));
}
ret.put(TYPE, compType);
return ret;
}
/**
* post aggregate component stats: 1. computes execute-latency/process-latency from execute/process latency total 2. computes windowed
* weight avgs 3. transform Map keys
*
* @param compStats accumulated comp stats
*/
public static Map<String, Object> postAggregateCompStats(Map<String, Object> compStats) {
Map<String, Object> ret = new HashMap<>();
String compType = (String) compStats.get(TYPE);
Map stats = ClientStatsUtil.getMapByKey(compStats, STATS);
Integer numTasks = getByKeyOr0(stats, NUM_TASKS).intValue();
Integer numExecutors = getByKeyOr0(stats, NUM_EXECUTORS).intValue();
Map outStats = ClientStatsUtil.getMapByKey(stats, SID_TO_OUT_STATS);
ret.put(TYPE, compType);
ret.put(NUM_TASKS, numTasks);
ret.put(NUM_EXECUTORS, numExecutors);
ret.put(ClientStatsUtil.EXECUTOR_STATS, stats.get(ClientStatsUtil.EXECUTOR_STATS));
ret.put(WIN_TO_EMITTED, mapKeyStr(ClientStatsUtil.getMapByKey(compStats, WIN_TO_EMITTED)));
ret.put(WIN_TO_TRANSFERRED, mapKeyStr(ClientStatsUtil.getMapByKey(compStats, WIN_TO_TRANSFERRED)));
ret.put(WIN_TO_ACKED, mapKeyStr(ClientStatsUtil.getMapByKey(compStats, WIN_TO_ACKED)));
ret.put(WIN_TO_FAILED, mapKeyStr(ClientStatsUtil.getMapByKey(compStats, WIN_TO_FAILED)));
if (ClientStatsUtil.BOLT.equals(compType)) {
Map inStats = ClientStatsUtil.getMapByKey(stats, CID_SID_TO_IN_STATS);
Map inStats2 = new HashMap();
for (Object o : inStats.entrySet()) {
Map.Entry e = (Map.Entry) o;
Map v = (Map) e.getValue();
long executed = getByKeyOr0(v, EXECUTED).longValue();
if (executed > 0) {
double executeLatencyTotal = getByKeyOr0(v, EXEC_LAT_TOTAL).doubleValue();
double processLatencyTotal = getByKeyOr0(v, PROC_LAT_TOTAL).doubleValue();
v.put(EXEC_LATENCY, executeLatencyTotal / executed);
v.put(PROC_LATENCY, processLatencyTotal / executed);
} else {
v.put(EXEC_LATENCY, 0.0);
v.put(PROC_LATENCY, 0.0);
}
v.remove(EXEC_LAT_TOTAL);
v.remove(PROC_LAT_TOTAL);
inStats2.put(e.getKey(), v);
}
ret.put(CID_SID_TO_IN_STATS, inStats2);
ret.put(SID_TO_OUT_STATS, outStats);
ret.put(WIN_TO_EXECUTED, mapKeyStr(ClientStatsUtil.getMapByKey(compStats, WIN_TO_EXECUTED)));
ret.put(WIN_TO_EXEC_LAT, computeWeightedAveragesPerWindow(
compStats, WIN_TO_EXEC_LAT_WGT_AVG, WIN_TO_EXECUTED));
ret.put(WIN_TO_PROC_LAT, computeWeightedAveragesPerWindow(
compStats, WIN_TO_PROC_LAT_WGT_AVG, WIN_TO_EXECUTED));
} else {
Map outStats2 = new HashMap();
for (Object o : outStats.entrySet()) {
Map.Entry e = (Map.Entry) o;
Object k = e.getKey();
Map v = (Map) e.getValue();
long acked = getByKeyOr0(v, ACKED).longValue();
if (acked > 0) {
double compLatencyTotal = getByKeyOr0(v, COMP_LAT_TOTAL).doubleValue();
v.put(COMP_LATENCY, compLatencyTotal / acked);
} else {
v.put(COMP_LATENCY, 0.0);
}
v.remove(COMP_LAT_TOTAL);
outStats2.put(k, v);
}
ret.put(SID_TO_OUT_STATS, outStats2);
ret.put(WIN_TO_COMP_LAT, computeWeightedAveragesPerWindow(
compStats, WIN_TO_COMP_LAT_WGT_AVG, WIN_TO_ACKED));
}
return ret;
}
/**
* aggregate component executor stats.
*
* @param exec2hostPort a Map of {executor -> host+port}
* @param task2component a Map of {task id -> component}
* @param beats a converted HashMap of executor heartbeats, {executor -> heartbeat}
* @param window specified window
* @param includeSys whether to include system streams
* @param topologyId topology id
* @param topology storm topology
* @param componentId component id
* @return ComponentPageInfo thrift structure
*/
public static ComponentPageInfo aggCompExecsStats(
Map exec2hostPort, Map task2component, Map<List<Integer>, Map<String, Object>> beats,
String window, boolean includeSys, String topologyId, StormTopology topology, String componentId) {
List<Map<String, Object>> beatList =
extractDataFromHb(exec2hostPort, task2component, beats, includeSys, topology, componentId);
Map<String, Object> compStats = aggregateCompStats(window, includeSys, beatList, componentType(topology, componentId));
compStats = postAggregateCompStats(compStats);
return thriftifyCompPageData(topologyId, topology, componentId, compStats);
}
/**
* aggregate statistics per worker for a topology. Optionally filtering on specific supervisors
*
* @param stormId topology id
* @param stormName storm topology
* @param task2Component a Map of {task id -> component}
* @param beats a converted HashMap of executor heartbeats, {executor -> heartbeat}
* @param exec2NodePort a Map of {executor -> host+port}
* @param includeSys whether to include system streams
* @param userAuthorized whether the user is authorized to view topology info
* @param filterSupervisor if not null, only return WorkerSummaries for that supervisor
* @param owner owner of the topology
*/
public static List<WorkerSummary> aggWorkerStats(String stormId, String stormName,
Map<Integer, String> task2Component,
Map<List<Integer>, Map<String, Object>> beats,
Map<List<Long>, List<Object>> exec2NodePort,
Map<String, String> nodeHost,
Map<WorkerSlot, WorkerResources> worker2Resources,
boolean includeSys,
boolean userAuthorized,
String filterSupervisor,
String owner) {
// host,port => WorkerSummary
HashMap<WorkerSlot, WorkerSummary> workerSummaryMap = new HashMap<>();
if (exec2NodePort != null) {
// for each executor -> node+port pair
for (Map.Entry<List<Long>, List<Object>> execNodePort : exec2NodePort.entrySet()) {
List<Object> nodePort = execNodePort.getValue();
String node = (String) nodePort.get(0);
Long port = (Long) nodePort.get(1);
String host = nodeHost.get(node);
WorkerSlot slot = new WorkerSlot(node, port);
WorkerResources resources = worker2Resources.get(slot);
if (filterSupervisor == null || node.equals(filterSupervisor)) {
WorkerSummary ws = workerSummaryMap.get(slot);
if (ws == null) {
ws = new WorkerSummary();
ws.set_host(host);
ws.set_port(port.intValue());
ws.set_supervisor_id(node);
ws.set_topology_id(stormId);
ws.set_topology_name(stormName);
ws.set_num_executors(0);
ws.set_owner(owner);
if (resources != null) {
ws.set_assigned_memonheap(resources.get_mem_on_heap());
ws.set_assigned_memoffheap(resources.get_mem_off_heap());
ws.set_assigned_cpu(resources.get_cpu());
} else {
ws.set_assigned_memonheap(0);
ws.set_assigned_memoffheap(0);
ws.set_assigned_cpu(0);
}
ws.set_component_to_num_tasks(new HashMap<String, Long>());
workerSummaryMap.put(slot, ws);
}
Map<String, Long> componentToNumTasks = ws.get_component_to_num_tasks();
// gets min/max task pairs (executors): [1 1] [2 3] ...
List<Long> exec = execNodePort.getKey();
// get executor heartbeat
int hbeatSecs = 0;
if (beats != null) {
Map<String, Object> beat = beats.get(ClientStatsUtil.convertExecutor(exec));
hbeatSecs = beat == null ? 0 : (int) beat.get("uptime");
}
ws.set_uptime_secs(hbeatSecs);
ws.set_num_executors(ws.get_num_executors() + 1);
// get tasks if the user is authorized for this topology
if (userAuthorized) {
int firstTask = exec.get(0).intValue();
int lastTask = exec.get(1).intValue();
// get per task components
for (int task = firstTask; task <= lastTask; task++) {
String component = task2Component.get(task);
// if the component is a system (__*) component and we are hiding
// them in UI, keep going
if (!includeSys && Utils.isSystemId(component)) {
continue;
}
// good to go, increment # of tasks this component is being executed on
Long counter = componentToNumTasks.get(component);
if (counter == null) {
counter = new Long(0);
}
componentToNumTasks.put(component, counter + 1);
}
}
}
}
}
return new ArrayList<WorkerSummary>(workerSummaryMap.values());
}
// =====================================================================================
// convert thrift stats to java maps
// =====================================================================================
/**
* convert thrift executor heartbeats into a java HashMap.
*/
public static Map<List<Integer>, Map<String, Object>> convertExecutorBeats(Map<ExecutorInfo, ExecutorBeat> beats) {
Map<List<Integer>, Map<String, Object>> ret = new HashMap<>();
for (Map.Entry<ExecutorInfo, ExecutorBeat> beat : beats.entrySet()) {
ExecutorInfo executorInfo = beat.getKey();
ExecutorBeat executorBeat = beat.getValue();
ret.put(Lists.newArrayList(executorInfo.get_task_start(), executorInfo.get_task_end()),
convertZkExecutorHb(executorBeat));
}
return ret;
}
/**
* convert {@link SupervisorWorkerHeartbeat} to nimbus local report executor heartbeats.
*/
public static Map<List<Integer>, Map<String, Object>> convertWorkerBeats(SupervisorWorkerHeartbeat workerHeartbeat) {
Map<List<Integer>, Map<String, Object>> ret = new HashMap<>();
for (ExecutorInfo executorInfo : workerHeartbeat.get_executors()) {
Map<String, Object> reportBeat = new HashMap<>();
reportBeat.put(ClientStatsUtil.TIME_SECS, workerHeartbeat.get_time_secs());
ret.put(Lists.newArrayList(executorInfo.get_task_start(), executorInfo.get_task_end()),
reportBeat);
}
return ret;
}
/**
* convert thrift ExecutorBeat into a java HashMap.
*/
public static Map<String, Object> convertZkExecutorHb(ExecutorBeat beat) {
Map<String, Object> ret = new HashMap<>();
if (beat != null) {
ret.put(ClientStatsUtil.TIME_SECS, beat.getTimeSecs());
ret.put(ClientStatsUtil.UPTIME, beat.getUptime());
ret.put(STATS, convertExecutorStats(beat.getStats()));
}
return ret;
}
/**
* convert a thrift worker heartbeat into a java HashMap.
*/
public static Map<String, Object> convertZkWorkerHb(ClusterWorkerHeartbeat workerHb) {
Map<String, Object> ret = new HashMap<>();
if (workerHb != null) {
ret.put("storm-id", workerHb.get_storm_id());
ret.put(ClientStatsUtil.EXECUTOR_STATS, convertExecutorsStats(workerHb.get_executor_stats()));
ret.put(ClientStatsUtil.UPTIME, workerHb.get_uptime_secs());
ret.put(ClientStatsUtil.TIME_SECS, workerHb.get_time_secs());
}
return ret;
}
/**
* convert executors stats into a HashMap, note that ExecutorStats are remained unchanged.
*/
public static Map<List<Integer>, ExecutorStats> convertExecutorsStats(Map<ExecutorInfo, ExecutorStats> stats) {
Map<List<Integer>, ExecutorStats> ret = new HashMap<>();
for (Map.Entry<ExecutorInfo, ExecutorStats> entry : stats.entrySet()) {
ExecutorInfo executorInfo = entry.getKey();
ExecutorStats executorStats = entry.getValue();
ret.put(Lists.newArrayList(executorInfo.get_task_start(), executorInfo.get_task_end()),
executorStats);
}
return ret;
}
/**
* convert thrift ExecutorStats structure into a java HashMap.
*/
public static Map<String, Object> convertExecutorStats(ExecutorStats stats) {
Map<String, Object> ret = new HashMap<>();
ret.put(EMITTED, stats.get_emitted());
ret.put(TRANSFERRED, stats.get_transferred());
ret.put(RATE, stats.get_rate());
if (stats.get_specific().is_set_bolt()) {
ret.putAll(convertSpecificStats(stats.get_specific().get_bolt()));
ret.put(TYPE, ClientStatsUtil.BOLT);
} else {
ret.putAll(convertSpecificStats(stats.get_specific().get_spout()));
ret.put(TYPE, ClientStatsUtil.SPOUT);
}
return ret;
}
private static Map<String, Object> convertSpecificStats(SpoutStats stats) {
Map<String, Object> ret = new HashMap<>();
ret.put(ACKED, stats.get_acked());
ret.put(FAILED, stats.get_failed());
ret.put(COMP_LATENCIES, stats.get_complete_ms_avg());
return ret;
}
private static Map<String, Object> convertSpecificStats(BoltStats stats) {
Map<String, Object> ret = new HashMap<>();
Map acked = ClientStatsUtil.windowSetConverter(stats.get_acked(), FROM_GSID, ClientStatsUtil.IDENTITY);
Map failed = ClientStatsUtil.windowSetConverter(stats.get_failed(), FROM_GSID, ClientStatsUtil.IDENTITY);
Map processAvg = ClientStatsUtil.windowSetConverter(stats.get_process_ms_avg(), FROM_GSID, ClientStatsUtil.IDENTITY);
Map executed = ClientStatsUtil.windowSetConverter(stats.get_executed(), FROM_GSID, ClientStatsUtil.IDENTITY);
Map executeAvg = ClientStatsUtil.windowSetConverter(stats.get_execute_ms_avg(), FROM_GSID, ClientStatsUtil.IDENTITY);
ret.put(ACKED, acked);
ret.put(FAILED, failed);
ret.put(PROC_LATENCIES, processAvg);
ret.put(EXECUTED, executed);
ret.put(EXEC_LATENCIES, executeAvg);
return ret;
}
/**
* extract a list of host port info for specified component.
*
* @param exec2hostPort {executor -> host+port}
* @param task2component {task id -> component}
* @param includeSys whether to include system streams
* @param compId component id
* @return a list of host+port
*/
public static List<Map<String, Object>> extractNodeInfosFromHbForComp(
Map<List<? extends Number>, List<Object>> exec2hostPort, Map<Integer, String> task2component, boolean includeSys, String compId) {
List<Map<String, Object>> ret = new ArrayList<>();
Set<List> hostPorts = new HashSet<>();
for (Entry<List<? extends Number>, List<Object>> entry : exec2hostPort.entrySet()) {
List<? extends Number> key = entry.getKey();
List<Object> value = entry.getValue();
Integer start = key.get(0).intValue();
String host = (String) value.get(0);
Integer port = (Integer) value.get(1);
String comp = task2component.get(start);
if ((compId == null || compId.equals(comp)) && (includeSys || !Utils.isSystemId(comp))) {
hostPorts.add(Lists.newArrayList(host, port));
}
}
for (List hostPort : hostPorts) {
Map<String, Object> m = new HashMap<>();
m.put(HOST, hostPort.get(0));
m.put(PORT, hostPort.get(1));
ret.add(m);
}
return ret;
}
// =====================================================================================
// heartbeats related
// =====================================================================================
/**
* extracts a list of executor data from heart beats.
*/
public static List<Map<String, Object>> extractDataFromHb(Map executor2hostPort, Map task2component,
Map<List<Integer>, Map<String, Object>> beats,
boolean includeSys, StormTopology topology) {
return extractDataFromHb(executor2hostPort, task2component, beats, includeSys, topology, null);
}
/**
* extracts a list of executor data from heart beats.
*/
public static List<Map<String, Object>> extractDataFromHb(Map executor2hostPort, Map task2component,
Map<List<Integer>, Map<String, Object>> beats,
boolean includeSys, StormTopology topology, String compId) {
List<Map<String, Object>> ret = new ArrayList<>();
if (executor2hostPort == null || beats == null) {
return ret;
}
for (Object o : executor2hostPort.entrySet()) {
Map.Entry entry = (Map.Entry) o;
List executor = (List) entry.getKey();
List hostPort = (List) entry.getValue();
Integer start = ((Number) executor.get(0)).intValue();
Integer end = ((Number) executor.get(1)).intValue();
String host = (String) hostPort.get(0);
Integer port = ((Number) hostPort.get(1)).intValue();
Map<String, Object> beat = beats.get(ClientStatsUtil.convertExecutor(executor));
if (beat == null) {
continue;
}
String id = (String) task2component.get(start);
Map<String, Object> m = new HashMap<>();
if ((compId == null || compId.equals(id)) && (includeSys || !Utils.isSystemId(id))) {
m.put("exec-id", entry.getKey());
m.put("comp-id", id);
m.put(NUM_TASKS, end - start + 1);
m.put(HOST, host);
m.put(PORT, port);
Map stats = ClientStatsUtil.getMapByKey(beat, STATS);
m.put(ClientStatsUtil.UPTIME, beat.get(ClientStatsUtil.UPTIME));
m.put(STATS, stats);
String type = componentType(topology, compId);
if (type != null) {
m.put(TYPE, type);
} else {
m.put(TYPE, stats.get(TYPE));
}
ret.add(m);
}
}
return ret;
}
/**
* compute weighted avg from a Map of stats and given avg/count keys.
*
* @param accData a Map of {win -> key -> value}
* @param wgtAvgKey weighted average key
* @param divisorKey count key
* @return a Map of {win -> weighted avg value}
*/
private static Map<String, Double> computeWeightedAveragesPerWindow(Map<String, Object> accData,
String wgtAvgKey, String divisorKey) {
Map<String, Double> ret = new HashMap<>();
for (Object o : ClientStatsUtil.getMapByKey(accData, wgtAvgKey).entrySet()) {
Map.Entry e = (Map.Entry) o;
Object window = e.getKey();
double wgtAvg = ((Number) e.getValue()).doubleValue();
long divisor = ((Number) ClientStatsUtil.getMapByKey(accData, divisorKey).get(window)).longValue();
if (divisor > 0) {
ret.put(window.toString(), wgtAvg / divisor);
}
}
return ret;
}
/**
* computes max bolt capacity.
*
* @param executorSumms a list of ExecutorSummary
* @return max bolt capacity
*/
public static double computeBoltCapacity(List<ExecutorSummary> executorSumms) {
double max = 0.0;
for (ExecutorSummary summary : executorSumms) {
double capacity = computeExecutorCapacity(summary);
if (capacity > max) {
max = capacity;
}
}
return max;
}
/**
* Compute the capacity of a executor. approximation of the % of time spent doing real work.
* @param summary the stats for the executor.
* @return the capacity of the executor.
*/
public static double computeExecutorCapacity(ExecutorSummary summary) {
ExecutorStats stats = summary.get_stats();
if (stats == null) {
return 0.0;
} else {
// actual value of m is: Map<String, Map<String/GlobalStreamId, Long/Double>> ({win -> stream -> value})
Map<String, Map> m = aggregateBoltStats(Lists.newArrayList(summary), true);
// {metric -> win -> value} ==> {win -> metric -> value}
m = swapMapOrder(aggregateBoltStreams(m));
// {metric -> value}
Map data = ClientStatsUtil.getMapByKey(m, TEN_MIN_IN_SECONDS_STR);
int uptime = summary.get_uptime_secs();
int win = Math.min(uptime, TEN_MIN_IN_SECONDS);
long executed = getByKeyOr0(data, EXECUTED).longValue();
double latency = getByKeyOr0(data, EXEC_LATENCIES).doubleValue();
if (win > 0) {
return executed * latency / (1000 * win);
}
return 0.0;
}
}
/**
* filter ExecutorSummary whose stats is null.
*
* @param summs a list of ExecutorSummary
* @return filtered summs
*/
public static List<ExecutorSummary> getFilledStats(List<ExecutorSummary> summs) {
List<ExecutorSummary> ret = new ArrayList<>();
for (ExecutorSummary summ : summs) {
if (summ.get_stats() != null) {
ret.add(summ);
}
}
return ret;
}
private static <K, V> Map<String, V> mapKeyStr(Map<K, V> m) {
Map<String, V> ret = new HashMap<>();
for (Map.Entry<K, V> entry : m.entrySet()) {
ret.put(entry.getKey().toString(), entry.getValue());
}
return ret;
}
private static <K1, K2> long sumStreamsLong(Map<K1, Map<K2, ?>> m, String key) {
long sum = 0;
if (m == null) {
return sum;
}
for (Map<K2, ?> v : m.values()) {
for (Map.Entry<K2, ?> entry : v.entrySet()) {
if (entry.getKey().equals(key)) {
sum += ((Number) entry.getValue()).longValue();
}
}
}
return sum;
}
private static <K1, K2> double sumStreamsDouble(Map<K1, Map<K2, ?>> m, String key) {
double sum = 0;
if (m == null) {
return sum;
}
for (Map<K2, ?> v : m.values()) {
for (Map.Entry<K2, ?> entry : v.entrySet()) {
if (entry.getKey().equals(key)) {
sum += ((Number) entry.getValue()).doubleValue();
}
}
}
return sum;
}
/**
* same as clojure's (merge-with merge m1 m2).
*/
private static Map mergeMaps(Map m1, Map m2) {
if (m2 == null) {
return m1;
}
for (Object o : m2.entrySet()) {
Map.Entry entry = (Map.Entry) o;
Object k = entry.getKey();
Map existing = (Map) m1.get(k);
if (existing == null) {
m1.put(k, entry.getValue());
} else {
existing.putAll((Map) m2.get(k));
}
}
return m1;
}
/**
* filter system streams from stats.
*
* @param stream2stat { stream id -> value }
* @param includeSys whether to filter system streams
* @return filtered stats
*/
private static <K, V> Map<K, V> filterSysStreams2Stat(Map<K, V> stream2stat, boolean includeSys) {
LOG.trace("Filter Sys Streams2Stat {}", stream2stat);
if (!includeSys) {
for (Iterator itr = stream2stat.keySet().iterator(); itr.hasNext(); ) {
Object key = itr.next();
if (key instanceof String && Utils.isSystemId((String) key)) {
itr.remove();
}
}
}
return stream2stat;
}
/**
* filter system streams from stats.
*
* @param stats { win -> stream id -> value }
* @param includeSys whether to filter system streams
* @return filtered stats
*/
private static <K, V> Map<String, Map<K, V>> filterSysStreams(Map<String, Map<K, V>> stats, boolean includeSys) {
LOG.trace("Filter Sys Streams {}", stats);
if (!includeSys) {
for (Iterator<String> itr = stats.keySet().iterator(); itr.hasNext(); ) {
String winOrStream = itr.next();
Map<K, V> stream2stat = stats.get(winOrStream);
for (Iterator subItr = stream2stat.keySet().iterator(); subItr.hasNext(); ) {
Object key = subItr.next();
if (key instanceof String && Utils.isSystemId((String) key)) {
subItr.remove();
}
}
}
}
return stats;
}
/**
* equals to clojure's: (merge-with (partial merge-with sum-or-0) acc-out spout-out).
*/
private static <K1, K2> Map<K1, Map<K2, Number>> fullMergeWithSum(Map<K1, Map<K2, ?>> m1,
Map<K1, Map<K2, ?>> m2) {
Set<K1> allKeys = new HashSet<>();
if (m1 != null) {
allKeys.addAll(m1.keySet());
}
if (m2 != null) {
allKeys.addAll(m2.keySet());
}
Map<K1, Map<K2, Number>> ret = new HashMap<>();
for (K1 k : allKeys) {
Map<K2, ?> mm1 = null;
Map<K2, ?> mm2 = null;
if (m1 != null) {
mm1 = m1.get(k);
}
if (m2 != null) {
mm2 = m2.get(k);
}
ret.put(k, mergeWithSum(mm1, mm2));
}
return ret;
}
private static <K> Map<K, Number> mergeWithSum(Map<K, ?> m1, Map<K, ?> m2) {
Map<K, Number> ret = new HashMap<>();
Set<K> allKeys = new HashSet<>();
if (m1 != null) {
allKeys.addAll(m1.keySet());
}
if (m2 != null) {
allKeys.addAll(m2.keySet());
}
for (K k : allKeys) {
Number n1 = getOr0(m1, k);
Number n2 = getOr0(m2, k);
if (n1 instanceof Long) {
ret.put(k, n1.longValue() + n2.longValue());
} else {
ret.put(k, n1.doubleValue() + n2.doubleValue());
}
}
return ret;
}
private static <K> Map<K, Long> mergeWithSumLong(Map<K, Long> m1, Map<K, Long> m2) {
Map<K, Long> ret = new HashMap<>();
Set<K> allKeys = new HashSet<>();
if (m1 != null) {
allKeys.addAll(m1.keySet());
}
if (m2 != null) {
allKeys.addAll(m2.keySet());
}
for (K k : allKeys) {
Number n1 = getOr0(m1, k);
Number n2 = getOr0(m2, k);
ret.put(k, n1.longValue() + n2.longValue());
}
return ret;
}
private static <K> Map<K, Double> mergeWithSumDouble(Map<K, Double> m1, Map<K, Double> m2) {
Map<K, Double> ret = new HashMap<>();
Set<K> allKeys = new HashSet<>();
if (m1 != null) {
allKeys.addAll(m1.keySet());
}
if (m2 != null) {
allKeys.addAll(m2.keySet());
}
for (K k : allKeys) {
Number n1 = getOr0(m1, k);
Number n2 = getOr0(m2, k);
ret.put(k, n1.doubleValue() + n2.doubleValue());
}
return ret;
}
/**
* this method merges 2 two-level-deep maps, which is different from mergeWithSum, and we expect the two maps have the same keys.
*/
private static <K> Map<String, Map<K, List>> mergeWithAddPair(Map<String, Map<K, List>> m1,
Map<String, Map<K, List>> m2) {
Map<String, Map<K, List>> ret = new HashMap<>();
Set<String> allKeys = new HashSet<>();
if (m1 != null) {
allKeys.addAll(m1.keySet());
}
if (m2 != null) {
allKeys.addAll(m2.keySet());
}
for (String k : allKeys) {
Map<K, List> mm1 = (m1 != null) ? m1.get(k) : null;
Map<K, List> mm2 = (m2 != null) ? m2.get(k) : null;
if (mm1 == null && mm2 == null) {
continue;
} else if (mm1 == null) {
ret.put(k, mm2);
} else if (mm2 == null) {
ret.put(k, mm1);
} else {
Map<K, List> tmp = new HashMap<>();
for (K kk : mm1.keySet()) {
List seq1 = mm1.get(kk);
List seq2 = mm2.get(kk);
List sums = new ArrayList();
for (int i = 0; i < seq1.size(); i++) {
if (seq1.get(i) instanceof Long) {
sums.add(((Number) seq1.get(i)).longValue() + ((Number) seq2.get(i)).longValue());
} else {
sums.add(((Number) seq1.get(i)).doubleValue() + ((Number) seq2.get(i)).doubleValue());
}
}
tmp.put(kk, sums);
}
ret.put(k, tmp);
}
}
return ret;
}
// =====================================================================================
// thriftify stats methods
// =====================================================================================
/**
* Used for local test.
*/
public static SupervisorWorkerHeartbeat thriftifyRpcWorkerHb(String stormId, List<Long> executorId) {
SupervisorWorkerHeartbeat supervisorWorkerHeartbeat = new SupervisorWorkerHeartbeat();
supervisorWorkerHeartbeat.set_storm_id(stormId);
supervisorWorkerHeartbeat
.set_executors(Collections.singletonList(new ExecutorInfo(executorId.get(0).intValue(), executorId.get(1).intValue())));
supervisorWorkerHeartbeat.set_time_secs(Time.currentTimeSecs());
return supervisorWorkerHeartbeat;
}
private static ComponentAggregateStats thriftifySpoutAggStats(Map m) {
ComponentAggregateStats stats = new ComponentAggregateStats();
stats.set_type(ComponentType.SPOUT);
stats.set_last_error((ErrorInfo) m.get(LAST_ERROR));
thriftifyCommonAggStats(stats, m);
SpoutAggregateStats spoutAggStats = new SpoutAggregateStats();
spoutAggStats.set_complete_latency_ms(getByKeyOr0(m, COMP_LATENCY).doubleValue());
SpecificAggregateStats specificStats = SpecificAggregateStats.spout(spoutAggStats);
stats.set_specific_stats(specificStats);
return stats;
}
private static ComponentAggregateStats thriftifyBoltAggStats(Map m) {
ComponentAggregateStats stats = new ComponentAggregateStats();
stats.set_type(ComponentType.BOLT);
stats.set_last_error((ErrorInfo) m.get(LAST_ERROR));
thriftifyCommonAggStats(stats, m);
BoltAggregateStats boltAggStats = new BoltAggregateStats();
boltAggStats.set_execute_latency_ms(getByKeyOr0(m, EXEC_LATENCY).doubleValue());
boltAggStats.set_process_latency_ms(getByKeyOr0(m, PROC_LATENCY).doubleValue());
boltAggStats.set_executed(getByKeyOr0(m, EXECUTED).longValue());
boltAggStats.set_capacity(getByKeyOr0(m, CAPACITY).doubleValue());
SpecificAggregateStats specificStats = SpecificAggregateStats.bolt(boltAggStats);
stats.set_specific_stats(specificStats);
return stats;
}
private static ExecutorAggregateStats thriftifyExecAggStats(String compId, String compType, Map m) {
ExecutorSummary executorSummary = new ExecutorSummary();
List executor = (List) m.get(EXECUTOR_ID);
executorSummary.set_executor_info(new ExecutorInfo(((Number) executor.get(0)).intValue(),
((Number) executor.get(1)).intValue()));
executorSummary.set_component_id(compId);
executorSummary.set_host((String) m.get(HOST));
executorSummary.set_port(getByKeyOr0(m, PORT).intValue());
int uptime = getByKeyOr0(m, ClientStatsUtil.UPTIME).intValue();
executorSummary.set_uptime_secs(uptime);
ExecutorAggregateStats stats = new ExecutorAggregateStats();
stats.set_exec_summary(executorSummary);
if (compType.equals(ClientStatsUtil.SPOUT)) {
stats.set_stats(thriftifySpoutAggStats(m));
} else {
stats.set_stats(thriftifyBoltAggStats(m));
}
return stats;
}
private static Map thriftifyBoltOutputStats(Map id2outStats) {
Map ret = new HashMap();
for (Object k : id2outStats.keySet()) {
ret.put(k, thriftifyBoltAggStats((Map) id2outStats.get(k)));
}
return ret;
}
private static Map thriftifySpoutOutputStats(Map id2outStats) {
Map ret = new HashMap();
for (Object k : id2outStats.keySet()) {
ret.put(k, thriftifySpoutAggStats((Map) id2outStats.get(k)));
}
return ret;
}
private static Map thriftifyBoltInputStats(Map cidSid2inputStats) {
Map ret = new HashMap();
for (Object e : cidSid2inputStats.entrySet()) {
Map.Entry entry = (Map.Entry) e;
ret.put(toGlobalStreamId((List) entry.getKey()),
thriftifyBoltAggStats((Map) entry.getValue()));
}
return ret;
}
private static ComponentAggregateStats thriftifyCommonAggStats(ComponentAggregateStats stats, Map m) {
CommonAggregateStats commonStats = new CommonAggregateStats();
commonStats.set_num_tasks(getByKeyOr0(m, NUM_TASKS).intValue());
commonStats.set_num_executors(getByKeyOr0(m, NUM_EXECUTORS).intValue());
commonStats.set_emitted(getByKeyOr0(m, EMITTED).longValue());
commonStats.set_transferred(getByKeyOr0(m, TRANSFERRED).longValue());
commonStats.set_acked(getByKeyOr0(m, ACKED).longValue());
commonStats.set_failed(getByKeyOr0(m, FAILED).longValue());
stats.set_common_stats(commonStats);
return stats;
}
private static ComponentPageInfo thriftifyCompPageData(
String topologyId, StormTopology topology, String compId, Map<String, Object> data) {
ComponentPageInfo ret = new ComponentPageInfo();
ret.set_component_id(compId);
Map win2stats = new HashMap();
win2stats.put(EMITTED, ClientStatsUtil.getMapByKey(data, WIN_TO_EMITTED));
win2stats.put(TRANSFERRED, ClientStatsUtil.getMapByKey(data, WIN_TO_TRANSFERRED));
win2stats.put(ACKED, ClientStatsUtil.getMapByKey(data, WIN_TO_ACKED));
win2stats.put(FAILED, ClientStatsUtil.getMapByKey(data, WIN_TO_FAILED));
String compType = (String) data.get(TYPE);
if (compType.equals(ClientStatsUtil.SPOUT)) {
ret.set_component_type(ComponentType.SPOUT);
win2stats.put(COMP_LATENCY, ClientStatsUtil.getMapByKey(data, WIN_TO_COMP_LAT));
} else {
ret.set_component_type(ComponentType.BOLT);
win2stats.put(EXEC_LATENCY, ClientStatsUtil.getMapByKey(data, WIN_TO_EXEC_LAT));
win2stats.put(PROC_LATENCY, ClientStatsUtil.getMapByKey(data, WIN_TO_PROC_LAT));
win2stats.put(EXECUTED, ClientStatsUtil.getMapByKey(data, WIN_TO_EXECUTED));
}
win2stats = swapMapOrder(win2stats);
List<ExecutorAggregateStats> execStats = new ArrayList<>();
List executorStats = (List) data.get(ClientStatsUtil.EXECUTOR_STATS);
if (executorStats != null) {
for (Object o : executorStats) {
execStats.add(thriftifyExecAggStats(compId, compType, (Map) o));
}
}
Map gsid2inputStats;
Map sid2outputStats;
if (compType.equals(ClientStatsUtil.SPOUT)) {
Map tmp = new HashMap();
for (Object k : win2stats.keySet()) {
tmp.put(k, thriftifySpoutAggStats((Map) win2stats.get(k)));
}
win2stats = tmp;
gsid2inputStats = null;
sid2outputStats = thriftifySpoutOutputStats(ClientStatsUtil.getMapByKey(data, SID_TO_OUT_STATS));
} else {
Map tmp = new HashMap();
for (Object k : win2stats.keySet()) {
tmp.put(k, thriftifyBoltAggStats((Map) win2stats.get(k)));
}
win2stats = tmp;
gsid2inputStats = thriftifyBoltInputStats(ClientStatsUtil.getMapByKey(data, CID_SID_TO_IN_STATS));
sid2outputStats = thriftifyBoltOutputStats(ClientStatsUtil.getMapByKey(data, SID_TO_OUT_STATS));
}
ret.set_num_executors(getByKeyOr0(data, NUM_EXECUTORS).intValue());
ret.set_num_tasks(getByKeyOr0(data, NUM_TASKS).intValue());
ret.set_topology_id(topologyId);
ret.set_topology_name(null);
ret.set_window_to_stats(win2stats);
ret.set_sid_to_output_stats(sid2outputStats);
ret.set_exec_stats(execStats);
ret.set_gsid_to_input_stats(gsid2inputStats);
return ret;
}
/**
* Convert Executor stats to thrift data structure.
* @param stats the stats in the form of a map.
* @return teh thrift structure for the stats.
*/
public static ExecutorStats thriftifyExecutorStats(Map stats) {
ExecutorStats ret = new ExecutorStats();
ExecutorSpecificStats specificStats = thriftifySpecificStats(stats);
ret.set_specific(specificStats);
ret.set_emitted(ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, EMITTED), TO_STRING, TO_STRING));
ret.set_transferred(ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, TRANSFERRED), TO_STRING, TO_STRING));
ret.set_rate(((Number) stats.get(RATE)).doubleValue());
return ret;
}
private static ExecutorSpecificStats thriftifySpecificStats(Map stats) {
ExecutorSpecificStats specificStats = new ExecutorSpecificStats();
String compType = (String) stats.get(TYPE);
if (ClientStatsUtil.BOLT.equals(compType)) {
BoltStats boltStats = new BoltStats();
boltStats.set_acked(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, ACKED), ClientStatsUtil.TO_GSID, TO_STRING));
boltStats.set_executed(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, EXECUTED), ClientStatsUtil.TO_GSID, TO_STRING));
boltStats.set_execute_ms_avg(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, EXEC_LATENCIES), ClientStatsUtil.TO_GSID, TO_STRING));
boltStats.set_failed(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, FAILED), ClientStatsUtil.TO_GSID, TO_STRING));
boltStats.set_process_ms_avg(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, PROC_LATENCIES), ClientStatsUtil.TO_GSID, TO_STRING));
specificStats.set_bolt(boltStats);
} else {
SpoutStats spoutStats = new SpoutStats();
spoutStats.set_acked(ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, ACKED), TO_STRING, TO_STRING));
spoutStats.set_failed(ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, FAILED), TO_STRING, TO_STRING));
spoutStats.set_complete_ms_avg(
ClientStatsUtil.windowSetConverter(ClientStatsUtil.getMapByKey(stats, COMP_LATENCIES), TO_STRING, TO_STRING));
specificStats.set_spout(spoutStats);
}
return specificStats;
}
// =====================================================================================
// helper methods
// =====================================================================================
private static GlobalStreamId toGlobalStreamId(List list) {
return new GlobalStreamId((String) list.get(0), (String) list.get(1));
}
/**
* Returns true if x is a number that is not NaN or Infinity, false otherwise.
*/
private static boolean isValidNumber(Object x) {
return x != null && x instanceof Number
&& !Double.isNaN(((Number) x).doubleValue())
&& !Double.isInfinite(((Number) x).doubleValue());
}
/*
* the value of m is as follows:
* <pre>
* #org.apache.storm.stats.CommonStats {
* :executed {
* ":all-time" {["split" "default"] 18727460},
* "600" {["split" "default"] 11554},
* "10800" {["split" "default"] 207269},
* "86400" {["split" "default"] 1659614}},
* :execute-latencies {
* ":all-time" {["split" "default"] 0.5874528633354443},
* "600" {["split" "default"] 0.6140350877192983},
* "10800" {["split" "default"] 0.5864434687156971},
* "86400" {["split" "default"] 0.5815376460556336}}
* }
* </pre>
*/
private static double computeAggCapacity(Map m, Integer uptime) {
if (uptime != null && uptime != 0) {
Map execAvg = (Map) ((Map) m.get(EXEC_LATENCIES)).get(TEN_MIN_IN_SECONDS_STR);
Map exec = (Map) ((Map) m.get(EXECUTED)).get(TEN_MIN_IN_SECONDS_STR);
Set<Object> allKeys = new HashSet<>();
if (execAvg != null) {
allKeys.addAll(execAvg.keySet());
}
if (exec != null) {
allKeys.addAll(exec.keySet());
}
double totalAvg = 0;
for (Object k : allKeys) {
double avg = getOr0(execAvg, k).doubleValue();
long cnt = getOr0(exec, k).longValue();
totalAvg += avg * cnt;
}
return totalAvg / (Math.min(uptime, TEN_MIN_IN_SECONDS) * 1000);
}
return 0.0;
}
private static Number getOr0(Map m, Object k) {
if (m == null) {
return 0;
}
Number n = (Number) m.get(k);
if (n == null) {
return 0;
}
return n;
}
private static Number getByKeyOr0(Map m, String k) {
if (m == null) {
return 0;
}
Number n = (Number) m.get(k);
if (n == null) {
return 0;
}
return n;
}
private static <T, V1 extends Number, V2 extends Number> Double weightAvgAndSum(Map<T, V1> id2Avg, Map<T, V2> id2num) {
double ret = 0;
if (id2Avg == null || id2num == null) {
return ret;
}
for (Map.Entry<T, V1> entry : id2Avg.entrySet()) {
T k = entry.getKey();
ret += productOr0(entry.getValue(), id2num.get(k));
}
return ret;
}
private static <K, V1 extends Number, V2 extends Number> double weightAvg(Map<K, V1> id2Avg, Map<K, V2> id2num, K key) {
if (id2Avg == null || id2num == null) {
return 0.0;
}
return productOr0(id2Avg.get(key), id2num.get(key));
}
/**
* Get the coponenet type for a give id.
* @param topology the topology this is a part of.
* @param compId the id of the component.
* @return the type as a String "BOLT" or "SPOUT".
*/
public static String componentType(StormTopology topology, String compId) {
if (compId == null) {
return null;
}
Map<String, Bolt> bolts = topology.get_bolts();
if (Utils.isSystemId(compId) || bolts.containsKey(compId)) {
return ClientStatsUtil.BOLT;
}
return ClientStatsUtil.SPOUT;
}
private static <K, V extends Number> long sumValues(Map<K, V> m) {
long ret = 0L;
if (m == null) {
return ret;
}
for (Number n : m.values()) {
ret += n.longValue();
}
return ret;
}
private static Number sumOr0(Object a, Object b) {
if (isValidNumber(a) && isValidNumber(b)) {
if (a instanceof Long || a instanceof Integer) {
return ((Number) a).longValue() + ((Number) b).longValue();
} else {
return ((Number) a).doubleValue() + ((Number) b).doubleValue();
}
}
return 0;
}
private static double productOr0(Object a, Object b) {
if (isValidNumber(a) && isValidNumber(b)) {
return ((Number) a).doubleValue() * ((Number) b).doubleValue();
}
return 0;
}
private static double maxOr0(Object a, Object b) {
if (isValidNumber(a) && isValidNumber(b)) {
return Math.max(((Number) a).doubleValue(), ((Number) b).doubleValue());
}
return 0;
}
/**
* For a nested map, rearrange data such that the top-level keys become the nested map's keys and vice versa. Example: {:a {:X :banana,
* :Y :pear}, :b {:X :apple, :Y :orange}} -> {:Y {:a :pear, :b :orange}, :X {:a :banana, :b :apple}}"
*/
private static Map swapMapOrder(Map m) {
if (m.size() == 0) {
return m;
}
Map ret = new HashMap();
for (Object k1 : m.keySet()) {
Map v = (Map) m.get(k1);
if (v != null) {
for (Object k2 : v.keySet()) {
Map subRet = (Map) ret.get(k2);
if (subRet == null) {
subRet = new HashMap();
ret.put(k2, subRet);
}
subRet.put(k1, v.get(k2));
}
}
}
return ret;
}
/**
* Expand the count/average out into total, count.
* @param avgs a HashMap of values: { win -> GlobalStreamId -> value }
* @param counts a HashMap of values: { win -> GlobalStreamId -> value }
* @return a HashMap of values: {win -> GlobalStreamId -> [cnt*avg, cnt]}
*/
private static <K> Map<String, Map<K, List>> expandAverages(Map<String, Map<K, Double>> avgs,
Map<String, Map<K, Long>> counts) {
Map<String, Map<K, List>> ret = new HashMap<>();
for (String win : counts.keySet()) {
Map<K, List> inner = new HashMap<>();
Map<K, Long> stream2cnt = counts.get(win);
for (K stream : stream2cnt.keySet()) {
Long cnt = stream2cnt.get(stream);
Double avg = avgs.get(win).get(stream);
if (avg == null) {
avg = 0.0;
}
inner.put(stream, Lists.newArrayList(cnt * avg, cnt));
}
ret.put(win, inner);
}
return ret;
}
/**
* first zip the two seqs, then do expand-average, then merge with sum.
*
* @param avgSeq list of avgs like: [{win -> GlobalStreamId -> value}, ...]
* @param countSeq list of counts like [{win -> GlobalStreamId -> value}, ...]
*/
private static <K> Map<String, Map<K, List>> expandAveragesSeq(
List<Map<String, Map<K, Double>>> avgSeq, List<Map<String, Map<K, Long>>> countSeq) {
Map<String, Map<K, List>> initVal = null;
for (int i = 0; i < avgSeq.size(); i++) {
Map<String, Map<K, Double>> avg = avgSeq.get(i);
Map<String, Map<K, Long>> count = (Map) countSeq.get(i);
if (initVal == null) {
initVal = expandAverages(avg, count);
} else {
initVal = mergeWithAddPair(initVal, expandAverages(avg, count));
}
}
if (initVal == null) {
initVal = new HashMap<>();
}
return initVal;
}
private static double valAvg(double t, long c) {
if (c == 0) {
return 0;
}
return t / c;
}
/**
* Convert a float to a string for display.
* @param n the value to format.
* @return the string ready for display.
*/
public static String floatStr(Double n) {
if (n == null) {
return "0";
}
return String.format("%.3f", n);
}
public static String errorSubset(String errorStr) {
return errorStr.substring(0, 200);
}
private static ErrorInfo getLastError(IStormClusterState stormClusterState, String stormId, String compId) {
return stormClusterState.lastError(stormId, compId);
}
// =====================================================================================
// key transformers
// =====================================================================================
public static <K> Map windowSetConverter(Map stats, ClientStatsUtil.KeyTransformer<K> firstKeyFunc) {
return ClientStatsUtil.windowSetConverter(stats, ClientStatsUtil.IDENTITY, firstKeyFunc);
}
static class FromGlobalStreamIdTransformer implements ClientStatsUtil.KeyTransformer<List<String>> {
@Override
public List<String> transform(Object key) {
GlobalStreamId sid = (GlobalStreamId) key;
return Lists.newArrayList(sid.get_componentId(), sid.get_streamId());
}
}
static class ToStringTransformer implements ClientStatsUtil.KeyTransformer<String> {
@Override
public String transform(Object key) {
return key.toString();
}
}
}