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/* This file is part of VoltDB.
* Copyright (C) 2008-2018 VoltDB Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with VoltDB. If not, see .
*/
package org.voltdb;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.atomic.AtomicLong;
import org.voltcore.logging.VoltLogger;
import org.voltdb.StatementStats.SingleCallStatsToken;
import org.voltdb.StatementStats.StatsData;
import org.voltdb.catalog.Procedure;
import org.voltdb.sysprocs.UpdateCore;
/**
* Derivation of StatsSource to expose timing information of procedure invocations.
*/
public class ProcedureStatsCollector extends SiteStatsSource {
private static final VoltLogger log = new VoltLogger("HOST");
/**
* Record statistics of procedure execution every N procedure invocations.
*/
private int m_procSamplingInterval = 20;
/**
* Record statistics of procedure statement execution every N procedure invocations.
*/
private int m_stmtSamplingInterval = 200;
protected void setProcSamplingInterval(int timeCollectionInterval) {
m_procSamplingInterval = timeCollectionInterval;
}
protected void setStmtSamplingInterval(int timeCollectionInterval) {
m_stmtSamplingInterval = timeCollectionInterval;
}
/**
* Whether to return incremental results since polling or since the beginning
*/
private boolean m_incremental = false;
private final String m_procName;
private final int m_partitionId;
// Mapping from the variable name of the user-defined SQLStmts to its stats.
private final Map m_stmtStatsMap;
private final StatsData m_procStatsData;
private final boolean m_isTransactional;
private final boolean m_isUAC;
public ProcedureStatsCollector(long siteId,
int partitionId,
Procedure catProc,
ArrayList stmtNames,
boolean isTransactional)
{
this(siteId, partitionId, catProc.getClassname(), catProc.getSinglepartition(), stmtNames, isTransactional);
}
public ProcedureStatsCollector(long siteId,
int partitionId,
String procName,
boolean singlePartition,
ArrayList stmtNames,
boolean isTransactional)
{
super(siteId, false);
m_partitionId = partitionId;
m_procName = procName;
m_stmtStatsMap = new HashMap();
// Use one StatementStats instance to hold the procedure-wide statistics.
// The statement name for this StatementStats is "".
// It does not have coordinator task to track.
StatementStats procedureWideStats = new StatementStats("", false);
m_procStatsData = procedureWideStats.m_workerTask;
// The NULL key entry is reserved for the procedure-wide statistics.
m_stmtStatsMap.put(null, procedureWideStats);
// Add stats entry for each of the individual SQL statements.
if (stmtNames != null) {
for (String stmtName : stmtNames) {
// If the procedure is a multi-partition one, its statements will have coordinator tasks.
boolean hasCoordinatorTask = ! singlePartition;
m_stmtStatsMap.put(stmtName, new StatementStats(stmtName, hasCoordinatorTask));
}
}
m_isTransactional = isTransactional;
// check if this proc is UpdateCore for 100% sampling rate
m_isUAC = (m_procName != null) && (m_procName.startsWith(UpdateCore.class.getName()));
}
// This is not the *real* invocation count, but a fuzzy one we keep to sample 5% of
// calls without modifying any state. We *only* modify state when a procedure completes.
AtomicLong fuzzyInvocationCounter = new AtomicLong(0);
/**
* Called when a procedure begins executing. Caches the time the procedure starts.
* Note: This does not touch internal mutable state besides fuzzyInvocationCounter.
*/
public final SingleCallStatsToken beginProcedure() {
long invocations = fuzzyInvocationCounter.getAndIncrement();
boolean samplingProcedure = (invocations % m_procSamplingInterval == 0) || m_isUAC;
boolean samplingStmts = invocations % m_stmtSamplingInterval == 0;
long startTimeNanos = samplingProcedure ? System.nanoTime() : 0;
return new SingleCallStatsToken(startTimeNanos, samplingStmts);
}
/**
* Called after a procedure is finished executing. Compares the start and end time and calculates
* the statistics.
*
* Synchronized because it modifies internal state and (for NT procs) can be called from multiple
* threads. For transactional procs the lock should be uncontended.,
*/
public final synchronized void endProcedure(boolean aborted, boolean failed, SingleCallStatsToken statsToken) {
if (aborted) {
m_procStatsData.m_abortCount++;
}
if (failed) {
m_procStatsData.m_failureCount++;
}
m_procStatsData.m_invocations++;
// this means additional stats were not recorded
if (!statsToken.samplingProcedure()) {
return;
}
// This is a sampled invocation.
// Update timings and size statistics.
final long endTime = System.nanoTime();
final long duration = endTime - statsToken.startTimeNanos;
if (duration < 0) {
if (Math.abs(duration) > 1000000000) {
log.info("Procedure: " + m_procName +
" recorded a negative execution time larger than one second: " + duration);
}
return;
}
m_procStatsData.m_timedInvocations++;
// sampled timings
m_procStatsData.m_totalTimedExecutionTime += duration;
m_procStatsData.m_minExecutionTime = Math.min(duration, m_procStatsData.m_minExecutionTime);
m_procStatsData.m_maxExecutionTime = Math.max(duration, m_procStatsData.m_maxExecutionTime);
m_procStatsData.m_incrMinExecutionTime = Math.min(duration, m_procStatsData.m_incrMinExecutionTime);
m_procStatsData.m_incrMaxExecutionTime = Math.max(duration, m_procStatsData.m_incrMaxExecutionTime);
m_procStatsData.m_totalResultSize += statsToken.resultSize;
m_procStatsData.m_minResultSize = Math.min(statsToken.resultSize, m_procStatsData.m_minResultSize);
m_procStatsData.m_maxResultSize = Math.max(statsToken.resultSize, m_procStatsData.m_maxResultSize);
m_procStatsData.m_incrMinResultSize = Math.min(statsToken.resultSize, m_procStatsData.m_incrMinResultSize);
m_procStatsData.m_incrMaxResultSize = Math.max(statsToken.resultSize, m_procStatsData.m_incrMaxResultSize);
m_procStatsData.m_totalParameterSetSize += statsToken.parameterSetSize;
m_procStatsData.m_minParameterSetSize = Math.min(statsToken.parameterSetSize, m_procStatsData.m_minParameterSetSize);
m_procStatsData.m_maxParameterSetSize = Math.max(statsToken.parameterSetSize, m_procStatsData.m_maxParameterSetSize);
m_procStatsData.m_incrMinParameterSetSize = Math.min(statsToken.parameterSetSize, m_procStatsData.m_incrMinParameterSetSize);
m_procStatsData.m_incrMaxParameterSetSize = Math.max(statsToken.parameterSetSize, m_procStatsData.m_incrMaxParameterSetSize);
// stop here if no statements
if (statsToken.stmtStats == null) {
return;
}
for (SingleCallStatsToken.PerStmtStats pss : statsToken.stmtStats) {
long stmtDuration = 0;
int stmtResultSize = 0;
int stmtParameterSetSize = 0;
if (pss.measurements != null) {
stmtDuration = pss.measurements.stmtDuration;
stmtResultSize = pss.measurements.stmtResultSize;
stmtParameterSetSize = pss.measurements.stmtParameterSetSize;
}
endFragment(pss.stmtName,
pss.isCoordinatorTask,
pss.stmtFailed,
pss.measurements != null,
stmtDuration,
stmtResultSize,
stmtParameterSetSize);
}
}
/**
* This function will be called after a statement finish running.
* It updates the data structures to maintain the statistics.
*/
public final synchronized void endFragment(String stmtName,
boolean isCoordinatorTask,
boolean failed,
boolean sampledStmt,
long duration,
int resultSize,
int parameterSetSize)
{
if (stmtName == null) {
return;
}
StatementStats stmtStats = m_stmtStatsMap.get(stmtName);
if (stmtStats == null) {
return;
}
StatsData dataToUpdate = isCoordinatorTask ? stmtStats.m_coordinatorTask : stmtStats.m_workerTask;
// m_failureCount and m_invocations need to be updated even if the current invocation is not sampled.
if (failed) {
dataToUpdate.m_failureCount++;
}
dataToUpdate.m_invocations++;
// If the current invocation is not sampled, we can stop now.
// Notice that this function can be called by a FragmentTask from a multi-partition procedure.
// Cannot use the isRecording() value here because SP sites can have values different from the MP Site.
if (!sampledStmt) {
return;
}
// This is a sampled invocation.
// Update timings and size statistics below.
if (duration < 0) {
if (Math.abs(duration) > 1000000000) {
log.info("Statement: " + stmtStats.m_stmtName + " in procedure: " + m_procName +
" recorded a negative execution time larger than one second: " +
duration);
}
return;
}
dataToUpdate.m_timedInvocations++;
// sampled timings
dataToUpdate.m_totalTimedExecutionTime += duration;
dataToUpdate.m_minExecutionTime = Math.min(duration, dataToUpdate.m_minExecutionTime);
dataToUpdate.m_maxExecutionTime = Math.max(duration, dataToUpdate.m_maxExecutionTime);
dataToUpdate.m_incrMinExecutionTime = Math.min(duration, dataToUpdate.m_incrMinExecutionTime);
dataToUpdate.m_incrMaxExecutionTime = Math.max(duration, dataToUpdate.m_incrMaxExecutionTime);
// sampled size statistics
dataToUpdate.m_totalResultSize += resultSize;
dataToUpdate.m_minResultSize = Math.min(resultSize, dataToUpdate.m_minResultSize);
dataToUpdate.m_maxResultSize = Math.max(resultSize, dataToUpdate.m_maxResultSize);
dataToUpdate.m_incrMinResultSize = Math.min(resultSize, dataToUpdate.m_incrMinResultSize);
dataToUpdate.m_incrMaxResultSize = Math.max(resultSize, dataToUpdate.m_incrMaxResultSize);
dataToUpdate.m_totalParameterSetSize += parameterSetSize;
dataToUpdate.m_minParameterSetSize = Math.min(parameterSetSize, dataToUpdate.m_minParameterSetSize);
dataToUpdate.m_maxParameterSetSize = Math.max(parameterSetSize, dataToUpdate.m_maxParameterSetSize);
dataToUpdate.m_incrMinParameterSetSize = Math.min(parameterSetSize, dataToUpdate.m_incrMinParameterSetSize);
dataToUpdate.m_incrMaxParameterSetSize = Math.max(parameterSetSize, dataToUpdate.m_incrMaxParameterSetSize);
}
/**
* Update the rowValues array with the latest statistical information.
* This method overrides the super class version
* which must also be called so that it can update its columns.
* @param rowKey The corresponding StatementStats structure for this row.
* @param rowValues Values of each column of the row of stats. Used as output.
*/
@Override
protected void updateStatsRow(Object rowKey, Object rowValues[]) {
super.updateStatsRow(rowKey, rowValues);
rowValues[columnNameToIndex.get("PARTITION_ID")] = m_partitionId;
rowValues[columnNameToIndex.get("PROCEDURE")] = m_procName;
StatementStats currRow = (StatementStats)rowKey;
assert(currRow != null);
rowValues[columnNameToIndex.get("STATEMENT")] = currRow.m_stmtName;
long invocations = currRow.getInvocations();
long timedInvocations = currRow.getTimedInvocations();
long totalTimedExecutionTime = currRow.getTotalTimedExecutionTime();
long minExecutionTime = currRow.getMinExecutionTime();
long maxExecutionTime = currRow.getMaxExecutionTime();
long abortCount = currRow.getAbortCount();
long failureCount = currRow.getFailureCount();
int minResultSize = currRow.getMinResultSize();
int maxResultSize = currRow.getMaxResultSize();
long totalResultSize = currRow.getTotalResultSize();
int minParameterSetSize = currRow.getMinParameterSetSize();
int maxParameterSetSize = currRow.getMaxParameterSetSize();
long totalParameterSetSize = currRow.getTotalParameterSetSize();
if (m_incremental) {
abortCount -= currRow.getLastAbortCountAndReset();
failureCount -= currRow.getLastFailureCountAndReset();
totalTimedExecutionTime -= currRow.getLastTotalTimedExecutionTimeAndReset();
totalResultSize -= currRow.getLastTotalResultSizeAndReset();
totalParameterSetSize -= currRow.getLastTotalParameterSetSizeAndReset();
minExecutionTime = currRow.getIncrementalMinExecutionTimeAndReset();
maxExecutionTime = currRow.getIncrementalMaxExecutionTimeAndReset();
minResultSize = currRow.getIncrementalMinResultSizeAndReset();
maxResultSize = currRow.getIncrementalMaxResultSizeAndReset();
minParameterSetSize = currRow.getIncrementalMinParameterSetSizeAndReset();
maxParameterSetSize = currRow.getIncrementalMaxParameterSetSizeAndReset();
// Notice that invocation numbers must be updated in the end.
// Other numbers depend on them for correct behavior.
invocations -= currRow.getLastInvocationsAndReset();
timedInvocations -= currRow.getLastTimedInvocationsAndReset();
}
rowValues[columnNameToIndex.get("INVOCATIONS")] = invocations;
rowValues[columnNameToIndex.get("TIMED_INVOCATIONS")] = timedInvocations;
rowValues[columnNameToIndex.get("MIN_EXECUTION_TIME")] = minExecutionTime;
rowValues[columnNameToIndex.get("MAX_EXECUTION_TIME")] = maxExecutionTime;
if (timedInvocations != 0) {
rowValues[columnNameToIndex.get("AVG_EXECUTION_TIME")] =
(totalTimedExecutionTime / timedInvocations);
rowValues[columnNameToIndex.get("AVG_RESULT_SIZE")] =
(totalResultSize / timedInvocations);
rowValues[columnNameToIndex.get("AVG_PARAMETER_SET_SIZE")] =
(totalParameterSetSize / timedInvocations);
} else {
rowValues[columnNameToIndex.get("AVG_EXECUTION_TIME")] = 0L;
rowValues[columnNameToIndex.get("AVG_RESULT_SIZE")] = 0;
rowValues[columnNameToIndex.get("AVG_PARAMETER_SET_SIZE")] = 0;
}
rowValues[columnNameToIndex.get("ABORTS")] = abortCount;
rowValues[columnNameToIndex.get("FAILURES")] = failureCount;
rowValues[columnNameToIndex.get("MIN_RESULT_SIZE")] = minResultSize;
rowValues[columnNameToIndex.get("MAX_RESULT_SIZE")] = maxResultSize;
rowValues[columnNameToIndex.get("MIN_PARAMETER_SET_SIZE")] = minParameterSetSize;
rowValues[columnNameToIndex.get("MAX_PARAMETER_SET_SIZE")] = maxParameterSetSize;
rowValues[columnNameToIndex.get("TRANSACTIONAL")] = (byte) (m_isTransactional ? 1 : 0);
}
/**
* Specifies the columns of statistics that are added by this class to the schema of a statistical results.
* @param columns List of columns that are in a stats row.
*/
@Override
protected void populateColumnSchema(ArrayList columns) {
super.populateColumnSchema(columns);
columns.add(new VoltTable.ColumnInfo("PARTITION_ID", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("PROCEDURE", VoltType.STRING));
columns.add(new VoltTable.ColumnInfo("STATEMENT", VoltType.STRING));
columns.add(new VoltTable.ColumnInfo("INVOCATIONS", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("TIMED_INVOCATIONS", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("MIN_EXECUTION_TIME", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("MAX_EXECUTION_TIME", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("AVG_EXECUTION_TIME", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("MIN_RESULT_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("MAX_RESULT_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("AVG_RESULT_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("MIN_PARAMETER_SET_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("MAX_PARAMETER_SET_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("AVG_PARAMETER_SET_SIZE", VoltType.INTEGER));
columns.add(new VoltTable.ColumnInfo("ABORTS", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("FAILURES", VoltType.BIGINT));
columns.add(new VoltTable.ColumnInfo("TRANSACTIONAL", VoltType.TINYINT));
}
@Override
protected Iterator
